Hubbry Logo
Online shoppingOnline shoppingMain
Open search
Online shopping
Community hub
Online shopping
logo
8 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Online shopping
Online shopping
from Wikipedia

A person using their credit card to make a purchase online

Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser or a mobile app. Consumers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine, which displays the same product's availability and pricing at different e-retailers. As of 2020, customers can shop online using a range of different computers and devices, including desktop computers, laptops, tablet computers and smartphones.

Online stores that evoke the physical analogy of buying products or services at a regular "brick-and-mortar" retailer or shopping center follow a process called business-to-consumer (B2C) online shopping. When an online store is set up to enable businesses to buy from another business, the process is instead called business-to-business (B2B) online shopping. A typical online store enables the customer to browse the firm's range of products and services, view photos or images of the products, along with information about the product specifications, features and prices. Unlike physical stores which may close at night, online shopping portals are always available to customers.

Online stores usually enable shoppers to use "search" features to find specific models, brands or items. Online customers must have access to the Internet and a valid method of payment in order to complete a transaction, such as a credit card, an Interac-enabled debit card, or a service such as PayPal. For physical products (e.g., paperback books or clothes), the e-tailer ships the products to the customer; for digital products, such as digital audio files of songs or software, the e-tailer usually sends the file to the customer over the Internet. The largest of these online retailing corporations are Alibaba, Amazon.com, and eBay.[1]

Terminology

[edit]

Alternative names for the activity are "e-commerce", a shortened form of "electronic commerce" or "e-shopping", a shortened form of "electronic shopping". An online store may also be called an e-web-store, e-shop, e-store, Internet shop, web-shop, web-store, online store, online storefront and virtual store. Mobile commerce (or m-commerce) describes purchasing from an online retailer's mobile device-optimized website or software application ("app"). These websites or apps are designed to enable customers to browse through a companies' products and services on tablet computers and smartphones.[citation needed]

History

[edit]

History of online shopping

[edit]

One of the earliest forms of trade conducted online was IBM's online transaction processing (OLTP) developed in the 1960s, which allowed the processing of financial transactions in real-time.[2] The computerized ticket reservation system developed for American Airlines called Semi-Automatic Business Research Environment (SABRE) was one of its applications. There, computer terminals located in different travel agencies were linked to a large IBM mainframe computer, which processed transactions simultaneously and coordinated them so that all travel agents had access to the same information at the same time.[2] At some point between 1971 and 1972, students at Stanford and MIT used the internet precursor ARPANET to make a deal to exchange marijuana, but the interaction does not qualify as e-commerce because no money was transferred online.[3]

The landscape of online shopping as we know it today took shape with the rise of the Internet.[4] Initially serving as a mere advertising platform, the Internet transitioned swiftly into a dynamic space for actual online transactions. This transformation was fueled by the development of interactive web pages and secure transmission protocols,[5] marking a pivotal moment in 1994 with the first online sales of Sting's album, Ten Summoner's Tales.[6]

This milestone event set the stage for the diversification of online retail, with early adopters such as wine, chocolates, and flowers paving the way. These products became pioneers in the e-commerce realm, capturing the attention of a growing audience. Researchers identified a crucial factor for internet success – the suitability of products for online transactions.[7] Generic items that didn't necessitate physical interaction gained traction, propelling the online shopping trend forward.

In its nascent stages, online shopping faced a limited audience. The early adopters were predominantly affluent males aged 30 and above. However, this demographic landscape underwent significant changes over time, and the online shopping sphere became more inclusive.

Over the years, the United Kingdom has witnessed a substantial shift in consumer behavior, with online shopping accounting for a noteworthy percentage of retail transactions. The extent of this influence varies depending on the product category, highlighting the diverse ways in which consumers engage with online platforms.

Growth in online shoppers

[edit]

As the revenues from online sales continued to grow significantly researchers identified different types of online shoppers, Rohm & Swaninathan[8] identified four categories and named them "convenience shoppers, variety seekers, balanced buyers, and store-oriented shoppers". They focused on shopping motivations and found that the variety of products available and the perceived convenience of the buying online experience were significant motivating factors. This was different for offline shoppers, who were more motivated by time saving and recreational motives.

Michael Aldrich, pioneer of online shopping in the 1980s

English entrepreneur Michael Aldrich was a pioneer of online shopping in 1979. His system connected a modified domestic TV to a real-time transaction processing computer via a domestic telephone line. He believed that videotex, the modified domestic TV technology with a simple menu-driven human–computer interface, was a 'new, universally applicable, participative communication medium — the first since the invention of the telephone.' This enabled 'closed' corporate information systems to be opened to 'outside' correspondents not just for transaction processing but also for e-messaging and information retrieval and dissemination, later known as e-business.[9] His definition of the new mass communications medium as 'participative' [interactive, many-to-many] was fundamentally different from the traditional definitions of mass communication and mass media and a precursor to the social networking on the Internet 25 years later. In March 1980 he launched Redifon's Office Revolution, which allowed consumers, customers, agents, distributors, suppliers and service companies to be connected online to the corporate systems and allow business transactions to be completed electronically in real-time.[10] During the 1980s[11] he designed, manufactured, sold, installed, maintained and supported many online shopping systems, using videotex technology.[12] These systems which also provided voice response and handprint processing pre-date the Internet and the World Wide Web, the IBM PC, and Microsoft MS-DOS, and were installed mainly in the UK by large corporations.

The first World Wide Web server and browser, created by Tim Berners-Lee in 1989,[13] opened for commercial use in 1991.[14] Thereafter, subsequent technological innovations emerged in 1994: online banking, the opening of an online pizza shop by Pizza Hut,[14] Netscape's SSL v2 encryption standard for secure data transfer, and Intershop's first online shopping system. The first secure retail transaction over the Web was either by NetMarket or Internet Shopping Network in 1994.[15] Immediately after, Amazon.com launched its online shopping site in 1995 and eBay was also introduced in 1995.[14] Alibaba's sites Taobao and Tmall were launched in 2003 and 2008, respectively. Retailers are increasingly selling goods and services prior to availability through "pretail" for testing, building, and managing demand.[citation needed]

International statistics

[edit]

Statistics show that in 2012, Asia-Pacific increased their international sales over 30% giving them over $433 billion in revenue. That is a $69 billion difference between the U.S. revenue of $364.66 billion. It is estimated that Asia-Pacific will increase by another 30% in the year 2013 putting them ahead by more than one-third of all global e-commerce sales.[needs update] The largest online shopping day in the world is Singles Day, with sales just in Alibaba's sites at US$9.3 billion in 2014.[16][17]

In 2018, 9.8% of all retail sales in the United States were made online.[18] In 2019, that figure was 2.8% in Canada.[19] In the United Kingdom, online sales peaked at 37.8% of all retail sales in January 2021, and were at 26.3% in January 2024.[20]

Customers

[edit]

Online customers must have access to the Internet and a valid method of payment in order to complete a transaction. Generally, higher levels of education and personal income correspond to more favorable perceptions of shopping online. Increased exposure to technology also increases the probability of developing favorable attitudes towards new shopping channels.[21]

In addition, age is also a significant factor that affects online shopping.Culture can have a big effect on how shoppers trust reviews and make important decisions. People in different countries can respond differently to online information than someone from their own country.[22] On top of that, after the pandemic, it seems that more people are relying on online websites for things they used to buy in person at the store.[23] People feel that privacy and security factors have an even more significant impact on attitudes toward online shopping than product factors. Shoppers of different age groups have different perceptions of the risk factors of online shopping.[24]

Customer buying behaviour in digital environment

[edit]

The marketing around the digital environment, customer's buying behaviour may not be influenced and controlled by the brand and firm, when they make a buying decision that might concern the interactions with search engine, recommendations, online reviews and other information. In modern shopping environments, people are more likely to use their mobile phones, computers, tablets and other digital devices to gather information. When people shop online, how risky they feel when purchasing an item plays a big role. Websites that offer secure payment options and good delivery systems make shoppers feel safer and more open to making a purchase.[25] Plus, the way reviews are presented with like the design of the site, layout, and pictures, will also really influence their decisions.[26] In an online shopping environment, interactive decision may have an influence on aid customer decision making, through online product reviews and user-generated content, typically provided through software from companies like Bazaarvoice and Trustpilot, or via social media.[27][28] This content, which can include text or video-based reviews, customer photos, and feedback, is often displayed alongside products being sold on websites like Amazon, Target, and most other digital storefronts.

Subsequently, risk and trust would also are two important factors affecting people's' behavior in digital environments. Customers consider to switch between e-channels, because they are mainly influence by the comparison with offline shopping, involving growth of security, financial and performance-risks In other words, a customer shopping online that they may receive more risk than people shopping in stores. There are three factors may influence people to do the buying decision, firstly, people cannot examine whether the product satisfy their needs and wants before they receive it. Secondly, customer may concern at after-sale services. Finally, customer may afraid that they cannot fully understand the language used in e-sales. Based on those factors customer perceive risk may as a significantly reason influence the online purchasing behaviour.[29]

Online retailers has place much emphasis on customer trust aspect, trust is another way driving customer's behaviour in digital environment, which can depend on customer's attitude and expectation. Indeed, the company's products design or ideas can not met customer's expectations. Customer's purchase intention based on rational expectations, and additionally impacts on emotional trust. Moreover, those expectations can be also establish on the product information and revision from others.[30]

In several studies, perceived value, shopping style, and brand trust are the main factors that affect online consumers' decisions.[31]  The perceived value means that people can compare the products and prices online, bringing them the perceived value of getting more benefits online than in an offline store.[32] The comfortable environment that online shopping brings to customers can make consumers get more perceived value. In the end, E-commerce behavior is still mostly influenced by families that are receptive to new technologies, and to a lesser extent by efficiency concerns.[33]

Product selection

[edit]

Consumers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine. Users can compare and evaluate products using product information on the website, as well on other websites such as websites about product tests.

Once a particular product has been found and selected on the website of the seller, most online retailers use shopping cart software to allow the consumer to accumulate multiple items and to adjust quantities, like filling a physical shopping cart or basket in a conventional store. A "checkout" process follows (continuing the physical-store analogy) in which payment and delivery information is collected, if necessary. Some stores allow consumers to sign up for a permanent online account so that some or all of this information only needs to be entered once. The consumer often receives an e-mail confirmation once the transaction is complete. Less sophisticated stores may rely on consumers to phone or e-mail their orders (although full credit card numbers, expiry date, and Card Security Code,[34] or bank account and routing number should not be accepted by e-mail, for reasons of security).

Impact of reviews on consumer behavior

[edit]

One of the great benefits of online shopping is the ability to read product reviews, written either by experts or fellow online shoppers. The Nielsen Company conducted a survey in March 2010 and polled more than 27,000 Internet users in 55 markets from the Asia-Pacific, Europe, Middle East, North America, and South America to look at questions such as "How do consumers shop online?", "What do they intend to buy?", "How do they use various online shopping web pages?", and the impact of social media and other factors that come into play when consumers are trying to decide how to spend their money on which product or service. According to the research,[35] reviews on electronics (57%) such as DVD players, cellphones, or PlayStations, and so on, reviews on cars (45%), and reviews on software (37%) play an important role in influencing consumers who tend to make purchases online. Furthermore, 40% of online shoppers indicate that they would not even buy electronics without consulting online reviews first. Studies using eye-tracking can show how people pay attention to certain parts of reviews and product images, which can really show how and what they decide to get.[36] Other research shows that reviews that talk about certain prices, quality, and delivery tend to have a big impact on how customers tend to spend their money online.[37]

In addition to online reviews, peer recommendations on online shopping pages or social media websites play a key role[38] for online shoppers when they are researching future purchases.[39] 90% of all purchases made are influenced by social media.[40]

Payment

[edit]

Online shoppers commonly use a credit card or a PayPal account in order to make payments. Having a safe and reliable payment process can be a great way to build trust. If people feel their money is secure and safe within the buying process, they will most likely purchase the product and feel comfortable about it.[41] However, some systems enable users to create accounts and pay by alternative means, such as:

Some online shops will not accept international credit cards. Some require both the purchaser's billing and shipping address to be in the same country as the online shop's base of operation. Other online shops allow customers from any country to send gifts anywhere. The financial part of a transaction may be processed in real time (e.g. letting the consumer know their credit card was declined before they log off), or may be done later as part of the fulfillment process.

Product delivery

[edit]
Foodora's home delivery by bicycle in Tampere, Finland

Once a payment has been accepted, the goods or services can be delivered in the following ways. For physical items:

  • Package delivery: The product is shipped to a customer-designated address. Retail package delivery is typically done by the public postal system or a retail courier such as FedEx, UPS, DHL, or TNT.
  • Drop shipping: The order is passed to the manufacturer or third-party distributor, who then ships the item directly to the consumer, bypassing the retailer's physical location to save time, money, and space.
  • In-store pick-up: The customer selects a local store using a locator software and picks up the delivered product at the selected location. This is the method often used in the bricks and clicks business model.

For digital items or tickets:

  • Downloading/Digital distribution:[44] The method often used for digital media products such as software, music, movies, or images.
  • Printing out, provision of a code for, or e-mailing of such items as admission tickets and scrip (e.g., gift certificates and coupons). The tickets, codes, or coupons may be redeemed at the appropriate physical or online premises and their content reviewed to verify their eligibility (e.g., assurances that the right of admission or use is redeemed at the correct time and place, for the correct dollar amount, and for the correct number of uses).
  • Will call, COBO (in Care Of Box Office), or "at the door" pickup: The patron picks up pre-purchased tickets for an event, such as a play, sporting event, or concert, either just before the event or in advance. With the onset of the Internet and e-commerce sites, which allow customers to buy tickets online, the popularity of this service has increased.

Shopping cart systems

[edit]

Simple shopping cart systems allow the off-line administration of products and categories. The shop is then generated as HTML files and graphics that can be uploaded to a webspace. The systems do not use an online database.[45] A high-end solution can be bought or rented as a stand-alone program or as an addition to an enterprise resource planning program. It is usually installed on the company's web server and may integrate into the existing supply chain so that ordering, payment, delivery, accounting and warehousing can be automated to a large extent. Other solutions allow the user to register and create an online shop on a portal that hosts multiple shops simultaneously from one back office. Examples are BigCommerce, Shopify and FlickRocket. Open source shopping cart packages include advanced platforms such as Interchange, and off-the-shelf solutions such as Magento, osCommerce, WooCommerce, PrestaShop, and Zen Cart. Commercial systems can also be tailored so the shop does not have to be created from scratch. By using an existing framework, software modules for various functionalities required by a web shop can be adapted and combined.[46]

Design

[edit]

Customers are attracted to online shopping not only because of high levels of convenience, but also because of broader selections, competitive pricing, and greater access to information.[47][48] Business organizations seek to offer online shopping not only because it is of much lower cost compared to bricks and mortar stores, but also because it offers access to a worldwide market, increases customer value, and builds sustainable capabilities.[49][50]

Information load

[edit]

Designers of online shops are concerned with the effects of information load. Information load is a product of the spatial and temporal arrangements of stimuli in the web store.[51] Compared with conventional retail shopping, the information environment of virtual shopping is enhanced by providing additional product information such as comparative products and services, as well as various alternatives and attributes of each alternative, etc.[52] Two major dimensions of information load are complexity and novelty.[53] Complexity refers to the number of different elements or features of a site, often the result of increased information diversity. Novelty involves the unexpected, suppressed, new, or unfamiliar aspects of the site. The novelty dimension may keep consumers exploring a shopping site, whereas the complexity dimension may induce impulse purchases.[52]

Consumer needs and expectations

[edit]

Internet consumers are self-conscious and emphasize personalized consumption, which makes the demand for online consumption different. Online consumers have different needs depending on their time and environment. Even different online consumers have different needs at the same level of demand due to the difference in income level and other factors. Compared with the centralized nature of traditional markets, online consumption is more decentralized. In the online consumer market, consumers have a short decision time, a large variability of consumer demand, a large number of purchases, but a relatively small amount of each purchase, a considerable mobility of purchases, a strong substitutability of goods, and a large elasticity of demand.[54] According to the output of a research report by Western Michigan University published in 2005, an e-commerce website does not have to be good looking with listing on a lot of search engines. It must build relationships with customers to make money. The report also suggests that a website must leave a positive impression on the customers, giving them a reason to come back.[55] How people tend to shop and how much they trust a company or brand are all very important factors that can either make or break whether a person buys online.[56] If sites can give good product info, good visuals, and good, reliable reviews, they can make their online shoppers feel safer and overall persuade them to purchase something.[57] However, resent research[58] has proven that sites with higher focus on efficiency, convenience, and personalised services increased the customers motivation to make purchases.

Dyn, an Internet performance management company conducted a survey on more than 1400 consumers across 11 countries in North America, Europe, Middle-East and Asia and the results of the survey are as follows:

  • Online retailers must improve the website speed
  • Online retailers must ease consumers fear around security

These concerns majorly affect the decisions of almost two thirds of the consumers.[59]

User interface

[edit]
An automated online assistant, with potential to enhance user interface on shopping sites

The most important factors determining whether customers return to a website are ease of use and the presence of user-friendly features.[60] Usability testing is important for finding problems and improvements in a web site. Methods for evaluating usability include heuristic evaluation, cognitive walkthrough, and user testing. Each technique has its own characteristics and emphasizes different aspects of the user experience.[60]

Market share

[edit]

The popularity of online shopping continues to erode sales of conventional retailers. For example, Best Buy, the largest retailer of electronics in the U.S. in August 2014 reported its tenth consecutive quarterly dip in sales, citing an increasing shift by consumers to online shopping.[61] Amazon.com has the largest market share in the United States. As of May 2018, a survey found two-thirds of Americans had bought something from Amazon (92% of those who had bought anything online), with 40% of online shoppers buying something from Amazon at least once a month. The survey found shopping began at amazon.com 44% of the time, compared to a general search engine at 33%. It estimated 75 million Americans subscribe to Amazon Prime and 35 million more use someone else's account.[62]

There were 242 million people shopping online in China in 2012.[63] For developing countries and low-income households in developed countries, adoption of e-commerce in place of or in addition to conventional methods is limited by a lack of affordable Internet access.

Advantages

[edit]

Convenience

[edit]

Online stores are usually available 24 hours a day, and many consumers in Western countries have Internet access both at work and at home. Other establishments such as Internet cafes, community centers and schools provide internet access as well. In contrast, visiting a conventional retail store requires travel or commuting and costs such as gas, parking, or bus tickets, and must usually take place during business hours. Delivery was always a problem which affected the convenience of online shopping. Additionally, the online shopping industry has not only involved the concept of providing convenience for customers but also improved perceptions of social inclusion.[64] However to overcome this many retailers including online retailers in Taiwan brought in a store pick up service. This now meant that customers could purchase goods online and pick them up at a nearby convenience store, making online shopping more advantageous to customers.[65] In the event of a problem with the item (e.g., the product was not what the consumer ordered or the product was not satisfactory), consumers are concerned with the ease of returning an item in exchange for the correct product or a refund. Consumers may need to contact the retailer, visit the post office and pay return shipping, and then wait for a replacement or refund. Some online companies have more generous return policies to compensate for the traditional advantage of physical stores. For example, the online shoe retailer Zappos.com includes labels for free return shipping, and does not charge a restocking fee, even for returns which are not the result of merchant error. (Note: In the United Kingdom, online shops are prohibited from charging a restocking fee if the consumer cancels their order in accordance with the Consumer Protection (Distance Selling) Act 2000).[66] A 2018 survey in the United States found 26% of online shoppers said they never return items, and another 65% said they rarely do so.[67] Merchants may benefit from online shopping due to low sales inventory pressure, low operating costs, and the scale of operation is not limited by the site.

Delivery

[edit]

Especially in cases of large or heavy products, delivery can be not only more convenient but also not require having or using a car. Not using or depending on personal vehicles, which can have substantial impact on the environment, to travel to local stores can make online shopping more sustainable than buying in local stores if such are used otherwise[68] (especially if items are bundled[68] and delivery vehicles are electric and use optimized routes). Moreover, the pace of urbanization, local delivery systems, and internet connectivity which facilitate the delivery process are the major determinants of e-commerce adoption,

Information and reviews

[edit]

Online shopping is usually more informationally rich than shopping at physical stores traveled to and usually has higher comparability and customizability.[69]

Online stores must describe products for sale with text, photos, and multimedia files, and sometimes have features such as question and answers or filters, whereas in a physical retail store, the actual product and the manufacturer's packaging will be available for direct inspection (which might involve a test drive, fitting, or other experimentation). Some online stores provide or link to supplemental product information, such as instructions, safety procedures, demonstrations, or manufacturer specifications. Research shows that when consumers are looking at reviews, they pay attention to both the text and the picture of the product. Positive reviews and well-organized information can make people feel comfortable in themselves as a buyer and comfortable in the website or company they are shopping with.[70] Some provide background information, advice, or how-to guides designed to help consumers decide which product to buy. Some stores even allow customers to comment or rate their items. There are also dedicated review sites that host user reviews for different products. Reviews and even some blogs give customers the option of shopping for cheaper purchases from all over the world without having to depend on local retailers. In a conventional retail store, clerks are generally available to answer questions. Some online stores have real-time chat features, but most rely on e-mails or phone calls to handle customer questions. Even if an online store is open 24 hours a day, seven days a week, the customer service team may only be available during regular business hours. It also implies that geographical factors, rather than socioeconomic issues, must be addressed in order to improve online shopping acceptance.[71]

Price and selection

[edit]

One advantage of shopping online is being able to quickly seek out deals for items or services provided by many different vendors (though some local search engines do exist to help consumers locate products for sale in nearby stores). Search engines, online price comparison services and discovery shopping engines can be used to look up sellers of a particular product or service. Shipping costs (if applicable) reduce the price advantage of online merchandise, though depending on the jurisdiction, a lack of sales tax may compensate for this. Shipping a small number of items, especially from another country, is much more expensive than making the larger shipments bricks-and-mortar retailers order. Some retailers (especially those selling small, high-value items like electronics) offer free shipping on sufficiently large orders. Another major advantage for retailers is the ability to rapidly switch suppliers and vendors without disrupting users' shopping experience.

Disadvantages

[edit]

Fraud and security concerns

[edit]

Given the lack of ability to inspect merchandise before purchase, consumers are at higher risk of fraud than face-to-face transactions. When ordering merchandise online, the item may not work properly, it may have defects, or it might not be the same item pictured in the online photo. Merchants also risk fraudulent purchases if customers are using stolen credit cards or fraudulent repudiation of the online purchase. However, merchants face less risk from physical theft by using a warehouse instead of a retail storefront. Secure Sockets Layer (SSL) encryption has generally solved the problem of credit card numbers being intercepted in transit between the consumer and the merchant. However, one must still trust the merchant (and employees) not to use the credit card information subsequently for their own purchases, and not to pass the information to others. Also, hackers might break into a merchant's web site and steal names, addresses and credit card numbers, although the Payment Card Industry Data Security Standard is intended to minimize the impact of such breaches. Identity theft is still a concern for consumers. A number of high-profile break-ins in the 2000s has prompted some U.S. states to require disclosure to consumers when this happens. Computer security has thus become a major concern for merchants and e-commerce service providers, who deploy countermeasures such as firewalls and anti-virus software to protect their networks. Phishing is another danger, where consumers are fooled into thinking they are dealing with a reputable retailer, when they have actually been manipulated into feeding private information to a system operated by a malicious party. Denial of service attacks are a minor risk for merchants, as are server and network outages.

Quality seals can be placed on the Shop web page if it has undergone an independent assessment and meets all requirements of the company issuing the seal. The purpose of these seals is to increase the confidence of online shoppers. However, the existence of many different seals, or seals unfamiliar to consumers, may foil this effort to a certain extent.

A number of resources offer advice on how consumers can protect themselves when using online retailer services. These include:

  • Sticking with well-known stores, or attempting to find independent consumer reviews of their experiences; also ensuring that there is comprehensive contact information on the website before using the service, and noting if the retailer has enrolled in industry oversight programs such as a trust mark or a trust seal.
  • Before buying from a new company, evaluating the website by considering issues such as: the professionalism and user-friendliness of the site; whether or not the company lists a telephone number and/or street address along with e-contact information; whether a fair and reasonable refund and return policy is clearly stated; and whether there are hidden price inflators, such as excessive shipping and handling charges.
  • Ensuring that the retailer has an acceptable privacy policy posted. For example, note if the retailer does not explicitly state that it will not share private information with others without consent.
  • Ensuring that the vendor address is protected with SSL (see above) when entering credit card information. If it does the address on the credit card information entry screen will start with "HTTPS".
  • Using strong passwords which do not contain personal information such as the user's name or birthdate. Another option is a "pass phrase," which might be something along the lines: "I shop 4 good a buy!!" These are difficult to hack, since they do not consist of words found in a dictionary, and provides a variety of upper, lower, and special characters. These passwords can be site specific and may be easy to remember.

Although the benefits of online shopping are considerable, when the process goes poorly it can create a thorny situation. A few problems that shoppers potentially face include identity theft, faulty products, and the accumulation of spyware. If users are required to put in their credit card information and billing/shipping address and the website is not secure, customer information can be accessible to anyone who knows how to obtain it. Most large online corporations are inventing new ways to make fraud more difficult. However, criminals are constantly responding to these developments with new ways to manipulate the system. Even though online retailers are making efforts to protect consumer information, it is a constant fight to maintain the lead. It is advisable to be aware of the most current technology and scams to protect consumer identity and finances. Product delivery is also a main concern of online shopping. Most companies offer shipping insurance in case the product is lost or damaged. Some shipping companies will offer refunds or compensation for the damage, but this is up to their discretion.

Fencing

[edit]

Fencing is another growing societal problem associated with online platforms.[72] Stolen merchandise from brick and mortal retailers and cargo are easily resold to the public through third party marketplaces due to lack of accountability and regulation by online operators.[73] In the United States alone, businesses are facing the brunt of organized retail crime with the value of stolen goods amounting to $68.8 billion in 2021 (equivalent to 1.47% of all sales or $214 per capita nationwide). These goods are typically passed off as legitimate, and resold online to unsuspecting buyers.[74]

Lack of full cost disclosure

[edit]

The lack of full cost disclosure may also be problematic. While it may be easy to compare the base price of an item online, it may not be easy to see the total cost up front. Additional fees such as shipping are often not visible until the final step in the checkout process. The problem is especially evident with cross-border purchases, where the cost indicated at the final checkout screen may not include additional fees that must be paid upon delivery such as duties and brokerage. Some services such as the Canadian-based Wishabi attempts to include estimates of these additional cost,[75] but nevertheless, the lack of general full cost disclosure remains a concern.

Privacy

[edit]

Privacy of personal information is a significant issue for some consumers. Many consumers wish to avoid spam and telemarketing which could result from supplying contact information to an online merchant. In response, many merchants promise to not use consumer information for these purposes, Many websites keep track of consumer shopping habits in order to suggest items and other websites to view. Brick-and-mortar stores also collect consumer information. Some ask for a shopper's address and phone number at checkout, though consumers may refuse to provide it. Many larger stores use the address information encoded on consumers' credit cards (often without their knowledge) to add them to a catalog mailing list. This information is obviously not accessible to the merchant when paying in cash or through a bank (money transfer, in which case there is also proof of payment).

Aggregation

[edit]

High-volume websites, such as Yahoo!, Amazon.com and eBay offer hosting services for online stores to all size retailers. These stores are presented within an integrated navigation framework, sometimes known as virtual shopping malls or online marketplaces.

See also

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Online shopping is the process of buying goods and services from a seller over the Internet, typically through web browsers or dedicated applications on computers or mobile devices, representing a core component of electronic commerce focused on consumer transactions. This practice originated in 1979 when British entrepreneur Michael Aldrich developed the first online shopping system using videotex technology, enabling direct purchases via modified television sets connected to transaction processing networks. By 2025, global e-commerce retail sales are forecasted to total $6.42 trillion, accounting for over 20% of worldwide retail and fueled by expanded digital infrastructure, secure payment methods, and consumer shifts toward remote purchasing. Key defining characteristics include enhanced accessibility to diverse products without physical store visits, competitive pricing from lower operational costs for sellers, and real-time inventory management, though empirical evidence highlights persistent drawbacks such as heightened vulnerability to fraud, inability to physically inspect items leading to higher return rates, and dependency on reliable logistics networks. Notable achievements encompass the democratization of global markets for small vendors via platforms like marketplaces, while controversies involve data privacy breaches, counterfeit proliferation, and the causal displacement of traditional retail jobs amid broader economic restructuring.

Definition and Terminology

Core Concepts and Distinctions

Online shopping constitutes the process by which consumers acquire goods or services via internet-connected devices, utilizing web browsers or dedicated applications to interact with seller platforms. This form of transaction emphasizes digital interfaces over physical presence, enabling remote selection, payment, and fulfillment coordination. Central to online shopping are distinct e-commerce models that delineate participant roles and transaction flows. The predominant business-to-consumer (B2C) model involves retailers or manufacturers selling directly to individual buyers, as exemplified by platforms like Amazon, where end-users access curated inventories without intermediaries. In contrast, consumer-to-consumer (C2C) models facilitate peer-to-peer exchanges through third-party sites such as , allowing individuals to list and purchase from one another, often with platform-mediated trust mechanisms like ratings. Business-to-business (B2B) transactions, while part of broader , differ by focusing on wholesale volumes and negotiated terms between enterprises, typically excluding the direct consumer engagement characteristic of online shopping. Key operational concepts include the virtual storefront, a digital emulation of a physical retail space comprising searchable product catalogs with images, descriptions, and pricing; the , a temporary repository for selected items permitting review, quantity adjustments, and abandonment prior to commitment; and the checkout sequence, which integrates payment gateways, address verification, and order confirmation to finalize sales. These elements distinguish online shopping from traditional brick-and-mortar retail, where tactile product handling, immediate possession, and in-person prevail, versus the online paradigm's reliance on proxies like reviews and return policies to mitigate asymmetries. Empirical underscores this shift: global online retail sales reached $5.8 trillion in 2023, reflecting the of digital models unbound by geographic or temporal store constraints.

History

Early Innovations and Precursors

Mail-order catalogs served as foundational precursors to remote purchasing, enabling consumers to order goods without physical store visits. In 1872, launched the first general merchandise mail-order catalog from , initially a single-sheet price list of 163 items targeted at rural farmers. This evolved into comprehensive catalogs, with Ward's reaching over 3,000 items by the 1890s, leveraging railroads and to distribute products nationwide. Richard W. Sears expanded the model in 1893 with Sears, Roebuck & Co., issuing catalogs that grew to more than 500 pages by 1897, offering diverse goods from clothing to tools and facilitating widespread adoption among isolated populations. The shift toward electronic precursors began in the late with innovations bridging television and computing. In 1979, British entrepreneur developed the first online shopping system by modifying a domestic to connect via a standard to a real-time transaction-processing computer, enabling grocery orders and other purchases in a business-to-consumer format he termed "teleshopping." This setup, demonstrated with retailers like grocery chains, represented an early form of for retail transactions, though limited to proprietary networks and lacking broad public access. By the early 1980s, dial-up services introduced structured online marketplaces. France's network, rolled out widely from 1982, provided millions of free terminals for videotex-based services, including catalog shopping through vendors like , where users could browse and order clothing via dedicated servers. , launched the Electronic Mall in 1984, an online directory connecting subscribers to over 110 vendors for direct purchases of items ranging from software to apparel, processed via . These systems relied on connections and predated the , highlighting early experiments in digital commerce constrained by slow speeds and narrow user bases.

Expansion in the 1990s and 2000s

The expansion of online shopping accelerated in the mid-1990s alongside the commercialization of the and increased adoption. Amazon.com, founded by in July 1994 as an online bookstore operating from a garage in , launched its website in July 1995, initially selling books via a simple interface that emphasized customer reviews and vast selection. Concurrently, emerged in September 1995 when created AuctionWeb, a auction platform that facilitated consumer-to-consumer sales of collectibles and used goods, rapidly scaling to millions of listings by enabling direct transactions without traditional intermediaries. These platforms capitalized on , which by 1995 connected about 10% of U.S. households, though early adoption was hampered by slow speeds and limited availability. By the late 1990s, online retail benefited from innovations in secure transactions, including the widespread adoption of SSL encryption for payments and the launch of PayPal in 1998, which simplified electronic transfers and reduced fraud risks for buyers and sellers. Amazon went public in May 1997, raising $54 million, and expanded beyond books to include music, videos, and electronics by 1998, while eBay rebranded from AuctionWeb in 1997 and reported over 2 million auctions monthly by 1999. U.S. e-commerce sales, though starting from a low base, reached approximately $27.6 billion in 2000, representing about 0.8% of total retail sales, driven primarily by these early movers rather than brick-and-mortar retailers, which accounted for less than half of online volume at the time. Globally, adoption lagged, with Europe and Asia seeing nascent platforms like QXL in the UK (1997) and initial e-commerce experiments in Japan, but the U.S. dominated due to higher internet penetration and venture capital inflows exceeding $50 billion annually into dot-com ventures by 1999. The dot-com bubble's burst in March 2000, triggered by overvaluation and unsustainable spending—such as unprofitable customer acquisition tactics—led to the failure of nearly 800 firms, including high-profile cases like , due to inadequate , low consumer trust in online payments (with fraud concerns peaking), and insufficient revenue to cover operational costs. Survivors like Amazon endured by prioritizing infrastructure investments, such as warehouses, over short-term profits; Bezos maintained focus on long-term customer value despite a 90% stock drop, allowing the company to weather the downturn while competitors collapsed from cash burn and hype-driven models lacking viable paths to profitability. , with its asset-light model generating fees from transactions, proved more resilient, sustaining growth through network effects where buyer-seller volume created self-reinforcing liquidity. In the 2000s, recovery was fueled by proliferation—U.S. household penetration rising from 5% in 2000 to over 50% by 2007—and enhanced trust via features like buyer protections and return policies, propelling e-commerce's share of U.S. retail to 3.4% by 2008. Amazon diversified into apparel, toys, and third-party seller marketplaces by 2000, achieving its first annual profit of $75 million in 2003 through cost efficiencies and scale. Traditional retailers followed suit, with launching robust online operations in 2000 and acquiring in 2002 to integrate payments seamlessly. Globally, platforms like Alibaba emerged in (1999, with Taobao auctions in 2003), capturing rapid growth in emerging markets where mobile and PC access expanded, though Western dominance persisted in standardized categories like . This solidified online shopping's viability, shifting from speculative auctions and niche to broader catalog retailing, albeit still constrained by shipping costs and the absence of tactile product .

Post-2010 Acceleration and Milestones

Following 2010, online shopping experienced rapid acceleration, propelled by proliferation and improved infrastructure, with global rising from $572 billion in 2010 to $4.2 trillion in 2020. In the United States, 's share of total retail increased from approximately 4.2% in 2010 to 15.9% by the first quarter of 2024. This period marked a shift toward , as adoption enabled app-based shopping; by the mid-2010s, mobile devices accounted for over half of online in select markets, contributing to a near-800% global increase from 2010 levels. A pivotal early milestone occurred on 2010, when U.S. online sales surpassed $1 billion for the first time, signaling maturing consumer confidence in digital transactions. platforms further amplified discovery and sales in the early 2010s, integrating shoppable features that blurred lines between browsing and purchasing. In 2015, Amazon introduced Prime Day on July 15 to commemorate its 20th anniversary, creating an annual event that generated billions in revenue and popularized time-limited online promotions worldwide. Alibaba's , originating in 2009, scaled dramatically post-2010, evolving into the largest single-day shopping event globally, with sales exceeding tens of billions by the late through aggressive discounts and logistics enhancements. The in 2020 provided the most acute catalyst, as lockdowns drove a 44% year-over-year U.S. surge, elevating its retail share from under 12% pre-pandemic to over 14% by 2021 and fostering innovations like curbside pickup. By 2025, global retail sales were projected to exceed $4.3 trillion, reflecting sustained momentum amid hybrid retail models.

Global Market Overview

Sales Volume and Growth Metrics

Global retail , a primary measure of online shopping volume, are projected to reach $6.419 trillion in , representing 20.5% of total worldwide retail . This figure reflects a year-over-year growth of 6.8% from 2024, indicating a deceleration from peak pandemic-era rates but sustained expansion amid broader digital adoption. Narrower estimates focused on B2C transactions for physical goods (excluding digital services, media, B2B, and C2C) place 2025 e-commerce revenue at US$3.66 trillion, with a compound annual growth rate (CAGR) of 6.29% projected through 2030, culminating in US$4.96 trillion by that year. Similar projections from Mordor Intelligence forecast the e-retail market at USD 3.84 trillion in 2025, expanding at a CAGR of 6.31% to USD 5.21 trillion by 2030. Discrepancies in these metrics stem from definitional differences, with broader retail e-commerce scopes incorporating comprehensive categories like groceries and yielding higher totals, while stricter B2C physical goods benchmarks produce conservative figures. User penetration for is anticipated at 54.3% in 2025, supporting around 2.8 billion active shoppers globally.

Regional and Demographic Variations

dominates global online shopping volume, with capturing about 50% of the market in 2025, driven by platforms like Alibaba and high mobile penetration exceeding 1 billion users. The follows with 26.5% , supported by mature and consumer trust in sites like Amazon. In contrast, exhibits high adoption but lower overall volume; for instance, 79% of shop online as of 2024, bolstered by strong data privacy regulations and cross-border platforms. Emerging markets in and show accelerating growth rates above 20% annually, though from lower bases due to infrastructure challenges like and payment access. Penetration as a share of retail sales varies regionally: in , online shopping constitutes around 30% of total retail by 2023 figures, reflecting advanced digital ecosystems, while in the it hovers at 15-20%. averages 61% population participation in online shopping as of recent pre-2025 data, with leading due to high over 95%. Globally, represents about 20% of retail sales in developed economies versus under 5% in many developing regions, highlighting disparities tied to and broadband availability. Demographically, younger cohorts drive adoption: adults aged 25-34 account for nearly 28% of visitors and over 24% of eBay's, prioritizing convenience and variety. exhibit heightened engagement, being 57% more likely than average to order groceries online weekly. Gender gaps persist in some markets; in the , 72% of women versus 68% of men report online purchases, though male participation rises with categories like . Higher-income and urban dwellers show greater uptake globally, with 44% of citing fast shipping as a key motivator, while rural and lower-income groups lag due to delivery costs and barriers.
Region/CountryKey MetricValue (2025 or latest)
Market share50% global
Market share26.5% global
Population penetration87% expected to purchase online
Population penetration84% expected to purchase online
Population shopping online79%

Operational Mechanics

The operational mechanics of online shopping encompass a typical workflow that includes customer browsing and product discovery, cart management, checkout and payment processing, followed by merchant-side order processing, inventory updates, packaging, and shipping via third-party logistics providers for delivery, culminating in post-delivery support and returns handling. This sequence integrates front-end user interactions with back-end logistics to facilitate transactions efficiently.

Product Discovery and Selection Processes

Consumers primarily discover products online through search engines, with 66% of shoppers using platforms like or Bing to identify new brands and items before visiting retailer sites. This channel dominates due to its ability to match user queries with product catalogs via algorithms prioritizing relevance, keywords, and paid placements. External search often funnels traffic to e-commerce marketplaces such as Amazon or , where nearly one-third of online shoppers conduct initial product research. On-site discovery relies on internal search bars, category browsing, and faceted filters allowing users to refine results by , , or attributes like color and size. These tools process queries and suggestions to reduce , though accuracy varies; misspellings or ambiguous terms can yield suboptimal results, prompting iterative searches. Mobile optimization enhances this, as features like sticky filters and fast-loading previews cater to on-the-go users, aligning with projections of 2.54 billion global online shoppers by 2025, many accessing via smartphones. Personalized recommendations, powered by and , suggest products based on browsing history, past purchases, and similar user behaviors, appearing in sections like "Frequently Bought Together" or homepages. As of 2025, 71% of sites employ AI-driven suggestions, which influence up to 35% of sales by surfacing relevant items and increasing session depth, though they risk creating filter bubbles that limit exposure to novel products. platforms contribute significantly, with 40% of consumers discovering products via feeds, stories, or influencer posts in 2024, often transitioning to direct purchases through shoppable links. Younger demographics, such as Gen Z, favor (e.g., image-based queries) and voice assistants for intuitive discovery, used by 45% in recent studies. Selection processes follow discovery, emphasizing evaluation via user-generated content and comparative tools. Shoppers routinely consult reviews and ratings, with 50% verifying creator or influencer endorsements against peer feedback to assess quality and authenticity. Comparison features, such as side-by-side specs or price trackers on aggregator sites, aid decision-making by highlighting differences in features, shipping costs, and seller reliability. Price sensitivity drives abandonment if alternatives offer better value, while scarcity cues (e.g., "low stock" alerts) accelerate choices, though empirical data shows these tactics boost conversions by 15-20% only when paired with transparent information. Overall, selection balances rational comparison with heuristics like star ratings, which correlate with return rates; products below 4 stars see 30% higher returns due to mismatched expectations.

Payment Systems and Transaction Security

Credit and debit cards constitute core payment methods in online shopping, with global e-commerce projections indicating credit cards at 16% and debit cards at 10% of transactions by 2026. These cards enable direct processing through gateways that interface with issuing banks and networks like and . Digital wallets, encompassing services such as , , and , have surged in adoption, accounting for an estimated 54% of global payments by 2026 due to their convenience in storing credentials and facilitating one-click purchases without repeated data entry. For international transactions, PayPal's buyer protection covers eligible purchases on foreign websites, offering reimbursement for non-delivery or misrepresentation, while Visa and Mastercard enable chargeback disputes for resolution; direct bank transfers generally provide limited recourse due to their irreversible nature. Alternative systems include buy-now-pay-later (BNPL) options like Affirm and , which defer payments into installments, appealing to consumers avoiding immediate full charges, and account-to-account transfers via (ACH) networks for direct bank debits. In regions like , digital wallets often overlay card functionality, while global variations favor local methods such as in . Payment processors aggregate these methods, handling authorization, capture, and settlement while ensuring compatibility across merchants. Transaction security relies on foundational protocols like (TLS) encryption, which protects data in transit via , preventing interception during transmission from buyer to merchant servers. The Payment Card Industry Data Security Standard (PCI DSS), established to safeguard cardholder data, mandates requirements for networks, servers, and applications handling payments, including firewalls, access controls, and regular vulnerability scans; non-compliance exposes merchants to fines and liability for breaches. Version 4.0, effective from March 2024, introduces enhanced scripting security and for sensitive operations. Fraud mitigation employs protocols, adding issuer authentication layers like one-time passcodes to reduce unauthorized use, alongside tokenization that replaces sensitive card details with unique identifiers. Machine learning-based detection systems analyze transaction patterns for anomalies, such as unusual IP locations or velocity checks on purchase frequency. Despite these, fraud inflicted $44 billion in losses worldwide in 2024, driven by account takeovers, , and synthetic identities, with projections exceeding $100 billion by 2029. U.S. online losses reached $16.6 billion in 2024, underscoring persistent vulnerabilities amid rising digital transaction volumes. Merchants often outsource compliance to third-party gateways to minimize PCI scope, though ultimate responsibility for secure transactions remains with the platform.

Fulfillment, Delivery, and Returns

Fulfillment in online shopping encompasses the logistical from to order dispatch, including storage in warehouses or fulfillment centers, order verification upon , item picking via automated or manual systems, secure packing to prevent , and integration with shipping carriers. Large-scale operators maintain distributed networks of facilities to reduce transit times, with processes optimized for high-volume throughput during peak periods like holiday seasons. In-house fulfillment suits retailers with control needs, while (3PL) providers handle for scalability, though the latter introduces dependency risks in coordination. Delivery relies on partnerships with carriers such as UPS, , and national postal services, employing methods from economy ground shipping—typically 3-7 days domestically—to premium express options achieving overnight arrival. For international purchases, shipping options like Cainiao, 4PX, and AliExpress Standard Shipping provide tracking numbers to enable traceability. Platforms such as AliExpress, Temu, and Amazon incorporate buyer protection features tied to tracked deliveries, supporting disputes and refunds in cases of delivery issues. Freight forwarding services for cross-border shipments often include insurance options for added protection. Last-mile challenges, including urban congestion and precise routing, often account for 50% of total costs, prompting innovations like micro-fulfillment centers in city outskirts for same-day capabilities in select markets. demand for rapid delivery has intensified, with surveys showing over 80% of U.S. shoppers expecting two-day or faster fulfillment in 2024, fueling investments in drone and autonomous vehicle trials despite regulatory hurdles. Returns, managed through , involve customer-initiated product returns for inspection, restocking if resalable, or disposal, with rates averaging 16.9% to 30%—substantially higher than the 8.9% for brick-and-mortar due to factors like fit uncertainty without physical trial. In the U.S., these returns generated $890 billion in costs in 2024, straining profitability as non-resalable items lead to losses estimated at 20-30% of return value. Retailers commonly implement 30-day free-return policies to lower purchase barriers and capture impulse buys, yet such leniency exacerbates risks like wardrobing and environmental burdens from excess . Effective mitigation includes AI-driven return predictions and prepaid labels, though systemic over-returning persists as a byproduct of low-friction online transactions.

User Interface Design and Experience

User interface design in online shopping platforms involves the arrangement of visual elements such as buttons, menus, and images to facilitate intuitive interaction, while encompasses the holistic flow from browsing to purchase, emphasizing ease, speed, and satisfaction. Poor UI/UX contributes to high abandonment rates, often exceeding 70% globally, primarily due to complex or slow loading. Optimized designs, however, correlate with conversion rate improvements of up to 200%, as intuitive interfaces align user expectations with seamless functionality. Core elements include streamlined navigation with hierarchical menus and persistent search bars, enabling rapid product discovery amid vast inventories. Clear call-to-action buttons, such as prominent "Add to Cart" prompts, guide users through selection processes, while consistent visual styling—using familiar icons and color schemes—reduces . Product pages typically feature high-resolution images with zoom capabilities, detailed descriptions, and variant selectors for size or color, minimizing decision hesitation. Checkout interfaces prioritize minimal fields and progress indicators to combat abandonment, with one-click options pioneered by Amazon in 1999 reducing steps from multiple to single actions. Mobile responsiveness has become foundational since the , adapting layouts to vary screen sizes via fluid grids and touch-optimized elements, as mobile devices accounted for over 50% of traffic by 2020. Non-responsive sites suffer from distorted visuals and issues, leading to 53% higher bounce rates on mobiles compared to desktops. Features like swipeable galleries and thumb-friendly buttons enhance tactile engagement, directly boosting sales in a market where mobile conversions lag desktop by 1.5-2x without adaptation. Personalization integrates dynamically into UI/UX through algorithm-driven recommendations, search autocompletes, and customized homepages based on browsing history, increasing and session time. Such tactics can elevate conversions by 20-30%, as users perceive tailored interfaces as more trustworthy and efficient. Early sites in the relied on static catalogs with rudimentary lists, evolving to interactive, data-responsive designs by the via AJAX for real-time updates without page reloads. standards, including alt text for images and keyboard navigation, further ensure inclusivity, with compliant sites experiencing 15-20% higher engagement from diverse users.

Consumer Behavior

Psychological Drivers and Decision-Making

Online shopping decisions are influenced by a combination of utilitarian motivations, such as time efficiency and price comparison, and hedonic factors, including enjoyment and excitement from browsing vast inventories. Empirical studies identify perceived benefits like and variety as primary drivers, with utilitarian aspects often outweighing hedonic ones in routine purchases. However, emotional states play a significant role; positive emotions enhance purchase intentions, while negative ones reduce by depleting cognitive resources. The consumer process in mirrors traditional models but is accelerated by digital tools: it begins with problem recognition, followed by extensive information search via search engines and recommendations, evaluation of alternatives based on attributes like and ratings, purchase execution, and post-purchase assessment through reviews or returns. environments facilitate higher-quality decisions through accessible data, yet they amplify psychological biases; for instance, anchoring effects from initial displays can skew perceived value, leading to suboptimal choices. Trust and perceived critically mediate decisions, with low trust in platforms increasing abandonment rates due to fears of breaches or product misrepresentation. Electronic word-of-mouth (e-WOM), such as user reviews, bolsters trust by providing , influencing up to 80% of purchases in some categories, though susceptibility varies by individual traits like . Psychological distance—spatiotemporal separation between consumer and product—further shapes , as greater distance reduces immediate but heightens rational . Impulse buying, characterized by , rapid acquisitions, is exacerbated online by seamless interfaces and stimuli like limited-time deals, affecting 40-80% of purchases in platforms like Shop. attributes this to , where immediate rewards override long-term costs, compounded by (FOMO) in environments. Trait impulsiveness interacts with state triggers, such as personalized notifications, to drive unplanned spending, particularly among younger demographics. Choice overload, or , undermines decision-making when excessive options—sometimes as few as three in categories like —induce anxiety, , and , reducing purchase likelihood and satisfaction. Meta-analyses confirm that abundant alternatives decrease to choose and heighten post-decision dissonance, prompting retailers to employ filters and to mitigate overload without sacrificing variety. In , this effect correlates with lower adoption rates, as consumers experience from hyper-personalized yet overwhelming assortments.

Role of Reviews, Ratings, and Social Influences

In online shopping, consumer decisions are profoundly shaped by user-generated reviews and ratings, which serve as proxies for product quality and seller reliability in the absence of physical . Over 99% of American consumers consult online reviews prior to purchases, with 93% reporting that these reviews directly influence their buying choices. Positive reviews elevate trust and perceived value, prompting consumers to spend up to 31% more on well-reviewed items, while 86% avoid purchases from platforms marred by negative feedback. Empirical data from experiments indicate that displaying five or more reviews can boost conversion rates by 270%, with the effect intensifying for higher-priced goods where detailed textual feedback mitigates . Star ratings aggregate these sentiments into quantifiable signals, correlating strongly with purchase intent; products averaging 4.25 to 4.99 stars achieve the highest conversion rates, often exceeding 4% uplift compared to lower-rated alternatives. This reliance stems from mechanisms, where consumers infer efficacy from collective validation rather than isolated claims, though negative outliers disproportionately deter sales due to . Reviews from ordinary users carry greater weight for 87% of shoppers than endorsements from experts or celebrities, underscoring a preference for relatable experiences over authority. Beyond individual reviews, broader social influences amplify decision-making through networks and digital communities. platforms drive 70% of consumer purchases via mechanisms like peer recommendations, influencer endorsements, and viral sharing, with 54% of users researching products directly on these sites. , a subset of , leverages perceived authenticity to sway behavior, as studies show it enhances credibility and urgency in e-commerce contexts. Word-of-mouth extensions, including shared reviews and features, further entrench these effects, with 63% of consumers more inclined to buy after observing positive social signals. However, susceptibility varies demographically, as younger cohorts exhibit heightened responsiveness to influencer-driven trends, reflecting evolved heuristics favoring group consensus in uncertain online environments.

Technological Innovations

AI, Personalization, and Automation

has transformed online shopping through advanced recommendation systems that personalize user experiences by analyzing browsing history, purchase patterns, and preferences to suggest relevant products. Amazon pioneered item-to-item in 2003, enabling scalable recommendations that drive a significant portion of sales without relying on user ratings alone. These systems leverage algorithms to predict consumer interests, resulting in leading firms generating 40% more revenue from personalization efforts compared to peers. Personalization extends to dynamic content adaptation, where AI tailors website elements like search results and promotions in real-time, boosting and conversion rates by 20-30% in implementations reported by retailers. For instance, Alibaba's AliMe integrates to handle customer queries and provide context-aware suggestions, processing millions of interactions daily to enhance . The global market for AI in reached $8.65 billion in 2025, reflecting widespread adoption for such features, with projections to double by 2030 due to proven efficiency gains. Automation via AI streamlines backend operations, including inventory forecasting and pricing adjustments, while front-end applications like chatbots reduce cart abandonment by offering instant support and opportunities. AI-powered chat interfaces have been shown to quadruple conversion rates in some deployments by guiding users through purchases with personalized nudges. Amazon employs AI-driven and in fulfillment to optimize stock levels, minimizing overstock and delays, which contributes to faster delivery and higher . Overall, 92% of businesses utilize generative AI for deeper , underscoring its causal role in elevating online shopping efficiency over traditional methods.

Emerging Technologies like AR, Voice, and

(AR) technologies facilitate virtual try-ons and product visualizations in online shopping, allowing consumers to overlay digital representations of items onto their real-world environment via smartphones or apps. This reduces purchase uncertainty, with retailers reporting 20-30% fewer returns after implementing AR try-ons. Adoption has accelerated, as 80% of retail brands plan to integrate AR for by 2025, including 3D visualizations on websites. In the U.S., the AR market is projected to grow at a () exceeding 21% from 2025 to 2030, driven by innovations in mobile AR. surveys indicate that 56% report increased in product due to AR, with 61% more likely to purchase after experiencing it. Voice commerce, enabled by assistants like and , supports hands-free ordering and payments, integrating with platforms for seamless transactions. The global voice commerce market reached USD 42.75 billion in 2023 and is expected to expand to USD 186.28 billion by 2030 at a CAGR of 24%, reflecting rising penetration. In the U.S., 49% of consumers used for shopping in 2025, with adopted by 71.6 million users for purchases. Over 27% of U.S. consumers completed online payments via voice assistants by mid-2022, a trend boosted by devices handling 8.4 billion active units worldwide in 2024. Blockchain technology addresses e-commerce challenges through decentralized ledgers that ensure transparency and immutable transaction records. It enables end-to-end , allowing verification of product origins and reducing in . Smart contracts, self-executing code on blockchain, automate payments upon delivery confirmation via sensors, as seen in where RFID data triggers supplier releases. Retailers like Nike employ blockchain to authenticate products against counterfeits, enhancing consumer trust in online . By 2025, permissioned blockchains are projected to streamline U.S. supply chains, cutting administrative costs and verifying compliance in real-time.

Economic Dynamics

Competitive Advantages and Efficiency Gains

Online retailers benefit from significantly lower operational costs compared to brick-and-mortar stores, as they eliminate expenses associated with physical locations, such as rent, utilities, and extensive in-store staffing. This cost structure enables competitive , with online platforms often undercutting traditional retailers by avoiding the overhead that can account for up to 20-30% of brick-and-mortar expenses in prime locations. Scalability provides another key advantage, allowing e-commerce businesses to expand and reach global markets without proportional increases in infrastructure. Unlike physical stores limited by shelf space, online platforms can offer vast product assortments, drawing from centralized warehouses and third-party sellers, which enhances and supplier . Data further amplify this by enabling real-time demand forecasting and personalized marketing, reducing waste and optimizing stock levels. Efficiency gains manifest in streamlined supply chains and transaction processes, where digital interfaces facilitate instant purchases and automated fulfillment. In the U.S., sales grew 5.3% in Q2 2025, outpacing total retail growth of 3.9%, reflecting faster adaptation to preferences through just-in-time and reduced holding costs. Globally, revenue is projected to reach $6.42 trillion in 2025, a 6.86% year-over-year increase, driven by efficiencies in and reduced intermediary layers. These advantages contribute to expansion, with online retail capturing approximately 20.1% of total U.S. in 2024, expected to rise to 22.6% by 2027, as platforms leverage algorithms for lower search costs and higher conversion rates compared to in-store browsing. However, such gains depend on effective execution, as inefficiencies like high return rates can erode margins if not managed through data-driven policies.

Impacts on Pricing, Inflation, and Consumer Welfare

Online shopping has exerted downward pressure on retail prices through intensified and reduced search costs for . Empirical of U.S. data from 2005 to 2015 indicates that expansion led to faster convergence of price differentials across cities for physical store goods, as online alternatives disciplined offline . Studies comparing markets for , CDs, and further confirm that prices are systematically lower, with reduced price dispersion enhancing transparency. This effect stems from platforms enabling real-time comparisons and automated repricing, which erode traditional markups associated with physical retail overheads like rent and display. The rise of has contributed to deflationary dynamics by slowing price increases relative to traditional channels. using Japanese retail data shows that e-commerce adoption lowered relative inflation rates, as online sellers face lower marginal costs and face global competition that curbs pass-through of input cost hikes. In the U.S., economists note that greater online penetration correlates with slower price growth in affected categories, potentially offsetting broader inflationary trends through gains in supply chains and reduced intermediary margins. Digital marketplaces, by minimizing physical infrastructure needs, amplify this pressure; for instance, e-commerce's immunity to certain inflationary inputs like local costs has kept online goods relatively stable amid economy-wide rises. Consumer welfare has risen substantially from these mechanisms, with gains accruing via lower effective prices, expanded variety, and time savings. Quantitative estimates place the welfare boost from U.S. online shopping at approximately 1.1% of total consumption by 2017, translating to about $1,150 annually per through access to broader assortments and competitive pricing. These benefits disproportionately favor higher-income households with better , though overall surplus increases from reduced search frictions and oligopolistic pricing discipline in retail markets. However, practices online can introduce variability, potentially eroding some gains if not offset by transparency tools, underscoring the net positive but context-dependent welfare effects.

Effects on Traditional Retail and Employment

The rise of online shopping has significantly eroded the market share of traditional brick-and-mortar retailers, with accounting for 16.3% of total U.S. retail sales in the second quarter of 2025, up from 16.1% in the prior year. This shift, accelerated by platforms like Amazon, has led to widespread store closures, with approximately 15,000 retail locations projected to shutter in 2025 alone, more than double the previous year's figure. High-profile bankruptcies illustrate the causal link: Toys "R" Us filed for in 2017 and liquidated in 2018, citing competition from online giants; similarly, closed its remaining stores after repeated bankruptcies by 2019, ceased operations in 2017, and liquidated in 2023, all attributing declines to e-commerce's lower prices and convenience over physical retail's overhead costs. Empirical data confirms localized impacts from infrastructure: the opening of an Amazon fulfillment center reduces sales at nearby brick-and-mortar stores by about 4% and slows retail growth by nearly 1,000 jobs per affected . Across broader aggregates, expansion correlates with a net quarterly loss of 938 retail jobs per U.S. , alongside a 2.1% drop in proximate store and higher exit rates for smaller, younger establishments unable to adapt. The retail sector shed almost 800,000 jobs during 2020 amid pandemic-driven online surges, far exceeding pre-pandemic annual losses of around 200,000. Recent trends show continued pressure, with U.S. retailers announcing over 45,000 job cuts in January and February 2025 alone, a 572% year-over-year increase tied to and economic uncertainty. While traditional retail contracts, e-commerce generates offsetting gains in and warehousing; for instance, each county-quarter sees 256 new transportation-warehousing jobs and 143 in food services as supply chains adapt to online fulfillment. This reflects , where efficiency gains from digital channels displace low-margin store roles but expand opportunities in scalable operations, though the transition has unevenly burdened sales-floor workers in legacy retail without equivalent skills for tech-enabled jobs. Overall, the net effect remains debated, with retail's structural decline persisting despite brick-and-mortar sales stabilizing post-2020.

Risks and Challenges

Fraud, Counterfeits, and Cybersecurity Threats

Online shopping is susceptible to various forms of , including scams, account takeovers, and impersonation schemes, which exploit the digital transaction process. In , global e-commerce losses reached an estimated $44 billion, with projections indicating a rise to $107 billion by 2029 due to increasing sophistication in fraudulent techniques such as synthetic identities and remote access attacks. In the United States, consumers reported $12.5 billion in total losses to the (FTC) in , marking a 25% increase from 2023, with online shopping and scams among the leading categories. pressure on merchants rose 13% in 2025, driven by tactics like address manipulation and abusive returns, where fraudsters ship low-value items to mask returns of high-value goods. Counterfeit goods proliferate on platforms, often through third-party sellers on marketplaces like Amazon and Alibaba, undermining product authenticity and consumer safety. s accounted for 3.3% of global trade in recent assessments, with the illicit market projected to expand to $1.79 trillion by 2030, outpacing legitimate growth due to online distribution channels. In 2024, U.S. Customs and Border Protection (CBP) seized s primarily from and , representing nearly 90% of rights enforcements, including hazardous fakes like pharmaceuticals and sold online. These products pose risks beyond financial loss, such as substandard materials leading to dangers; for instance, medicines seized exceeded 1.5 million units in 2023, many originating from sites. imports include 5.8% s valued at €119 billion annually, with online platforms facilitating evasion of traditional border controls. Cybersecurity threats compound these vulnerabilities, targeting infrastructure through data breaches, , and that compromise payment systems and customer . The retail sector, encompassing online shopping, faced more cyber breaches than any other industry in recent years, with global costs projected to exceed $10.5 trillion annually by 2025. emerged as the predominant organizational cyber risk, affecting 45% of surveyed entities, often disrupting operations and leading to in 40% of large claims exceeding €1 million during early 2025. sites experience heightened attacks during peak periods, such as an 8% rise in remote access attempts during the 2024 Black Friday/ compared to 2023, enabling theft of credentials and facilitation of further . These incidents erode trust, with 76% of consumers abandoning sites after personal victimization, amplifying economic fallout from stolen used in , which saw over 1.1 million U.S. reports in 2024.

Privacy, Data Handling, and Ethical Concerns

Online retailers collect extensive from consumers, including browsing histories, purchase patterns, location , and device identifiers, primarily to enable personalized recommendations, , and inventory management. This often occurs through , tracking pixels, and mobile app permissions, with platforms like Amazon and Alibaba processing billions of points daily to predict consumer behavior. While such practices improve by reducing search friction and offering relevant products, surveys indicate that 79% of Americans believe it is not possible to live without but feel a lack of control over their , viewing risks like data misuse as outweighing benefits. Data breaches represent a primary risk, with the retail sector experiencing more incidents than any other industry due to high volumes of sensitive and personal information stored. In 2023, the average cost of a retail data breach reached $3.54 million, encompassing direct losses, remediation, and reputational damage. Notable examples include the hack in early 2023, which exposed data of 10 million customers including names, addresses, and partial details via a compromised third-party platform, and the April 2024 Pandabuy breach affecting 1.3 million users' personal information on the Chinese site. These incidents underscore vulnerabilities in partners and legacy systems, often leading to , financial fraud, and targeted at shopping histories. Ethical concerns arise from the commodification of consumer data, termed "surveillance capitalism" by scholar Shoshana Zuboff, where behavioral data is extracted and monetized without equivalent user bargaining power, enabling predictive manipulation of purchases. Critics argue that opaque algorithms facilitate price discrimination—charging higher prices to inferred high-value customers based on inferred willingness to pay—and perpetuate data broker markets that aggregate and resell profiles for secondary uses like marketing or risk assessment, often without explicit consent. Proponents counter that informed consent via privacy policies balances this, as data-driven efficiencies lower overall prices and expand access, though empirical evidence shows many users skim policies without comprehension, leading to de facto non-consent. Regulatory responses include the EU's (GDPR), effective May 2018, which mandates explicit consent for processing and imposes fines up to 4% of global revenue for violations, resulting in a measurable decline in third-party trackers on sites. In the U.S., California's Consumer Privacy Act (CCPA), enforced from 2020, grants residents rights to of sales and access/delete information, influencing broader practices but lacking GDPR's extraterritorial reach. These laws have prompted retailers to enhance transparency and security, such as anonymization techniques and breach notifications within 72 hours under GDPR, yet compliance costs burden smaller operators disproportionately, potentially reducing market entry and innovation. Despite progress, the absence of a comprehensive U.S. federal leaves gaps, with 53% of breaches involving personally identifiable information like tax IDs.

Societal and Environmental Impacts

Labor Conditions and Market Disruptions

Online shopping has intensified demands on warehouse labor, particularly in fulfillment centers operated by major firms. Amazon warehouses reported serious rates of 6.8 per 100 workers in recent analyses, more than double the industry average of 3.3 per 100 for comparable facilities. The U.S. Senate's HELP Committee investigation in December 2024 found Amazon's rates nearly double those of non-Amazon warehouses over seven years, attributing this to quotas and ergonomic hazards like repetitive picking tasks. OSHA data from 2023 documented 36,170 serious injuries across Amazon facilities, with musculoskeletal disorders comprising 57% of recordable incidents despite a 32% improvement in such rates over five years. High turnover exacerbates these issues; in counties with Amazon fulfillment centers, warehouse worker turnover averaged 100.9% in 2017, driven by injuries, low pay, and demanding quotas. Industry-wide, warehouse turnover often exceeds 40% annually, far above the national average, due to physical strain and . Gig economy delivery roles, integral to last-mile online shopping , feature precarious conditions with variable low earnings and minimal protections. In 2024, Uber Eats drivers averaged $14.96 per hour, down 5% from prior years, while drivers earned $12.23 per hour, a 3% decline, amid increased working hours for many. drivers reported average hourly earnings of $15.62 in October 2024, often without benefits, overtime pay, or , as independent contractors bear vehicle costs and risks. Overall gig wages hovered at $18.73 per hour mid-2025, varying by region and platform, but workers frequently logged more hours for stagnant or falling real earnings adjusted for inflation. These conditions stem from algorithmic scheduling and competition among platforms like and , which prioritize speed over worker welfare, leading to burnout and income instability. The expansion of online shopping has disrupted traditional retail markets, accelerating store closures and shifting employment patterns. U.S. retailers announced over 7,300 store closures in 2024, a 57% increase from 2023, partly due to e-commerce competition eroding physical sales. Major chains like Bed Bath & Beyond, JCPenney, and Neiman Marcus filed for bankruptcy amid the "retail apocalypse," with e-commerce capturing 15.3% of total retail sales in 2023, up from prior years. Department stores shed approximately 80,000 jobs net since early 2013, while nonstore (e-commerce) retailers added about 100,000, reflecting a reallocation rather than net loss but with skills mismatches for displaced sales workers. Seasonal retail hiring fell to 520,000 positions in 2024 from 564,000 the previous year, as e-commerce reduces demand for in-store holiday staffing. E-commerce's rise from 0.63% of retail sales in 1999 to 13.3% by 2021 has unevenly impacted local retail, closing smaller outlets while consolidating jobs in logistics hubs. This disruption favors efficiency in distribution over dispersed storefronts, though it has not yielded overall retail employment decline when including e-commerce gains.

Comparative Environmental Footprint

Online shopping's (GHG) emissions are generally lower than those from traditional brick-and-mortar retail when consumers drive to stores, primarily due to the of consolidated delivery routes versus dispersed individual trips. A 2023 of multiple studies found that online purchases produce a lower than in-store purchases made by , attributing this to optimized in supply chains. For instance, , GHG emissions were estimated at 17% lower than bricks-and-mortar retail in base-case scenarios as of 2020, factoring in transportation, warehousing, and consumer behavior. Transportation remains the dominant factor, with last-mile delivery often emitting less CO2 per item than equivalent consumer distances. A 2013 analysis of grocery shopping showed delivery trucks producing 20-75% less CO2 than personal vehicles for the same loads, as trucks achieve higher utilization rates on fixed routes. Conversely, short trips under 2 km to physical stores can make online shopping 29% more emissions-intensive due to inefficient last-mile vans, though emissions drop by 29-50% for longer distances. In-store purchases generate approximately 2.3 times more CO2 than online equivalents when averaging typical patterns. Packaging and returns, however, increase e-commerce's footprint relative to traditional retail. Online orders produce 4.8 times more per item, exacerbating landfill contributions and requiring additional transport for disposal or . High return rates—often 20-30% for apparel—double shipping emissions for reversed , with apparel returns alone contributing significant GHG from unclaimed reverse flows as of 2024. These offsets can narrow or reverse net savings in categories with frequent returns, though overall GHG advantages persist in most aggregated models unless consumers walk or bike to stores.
FactorOnline ShoppingTraditional RetailNet Comparison
Transportation GHGLower for consolidated delivery (e.g., 17-75% savings vs. car trips)Higher from individual consumer vehicles (e.g., 8.7 kg CO2e per trip)Online lower unless short walks/bikes
4.8x higher per itemMinimal, reusable bags commonTraditional lower
Returns ImpactDoubles emissions for 20-30% ratesNegligible on-siteOnline higher

Controversies and Policy Debates

Monopoly Power and Antitrust Scrutiny

Amazon holds a dominant position in the U.S. online retail market, capturing approximately 40% of sales in 2023. This share reflects its control over both direct sales and its for third-party sellers, which accounted for about 80% of marketplace transactions during the same period. While such concentration raises concerns about potential monopoly power, economic analysis indicates that market shares below 70% do not inherently prove monopoly status without evidence of sustained supra-competitive pricing or barriers excluding rivals. In September 2023, the U.S. (FTC), joined by attorneys general from 17 states, filed an antitrust lawsuit against Amazon, alleging it unlawfully maintains monopoly power in the "online superstore" and services markets through practices such as coercive pricing algorithms and policies that penalize sellers offering lower prices elsewhere. The complaint claims these tactics suppress competition and inflate s, with a trial scheduled for October 2026. Critics, including legal scholars, argue the case overlooks Amazon's role in driving innovation, such as rapid delivery and low prices, and fails to demonstrate harm, as evidenced by persistent price competition from rivals like . The FTC's lead, , previously critiqued Amazon's in academic work, raising questions about whether the suit prioritizes structural deconcentration over welfare standards. In the , antitrust scrutiny has focused on Amazon's use of third-party seller to advantage its private-label products, leading to investigations opened in 2019. Amazon settled these probes in December 2022 by committing to refrain from using non-public seller for competitive purposes, avoiding fines but subjecting itself to ongoing compliance monitoring. Additional probes under the could result in penalties up to 10% of global turnover if violations are found, particularly regarding favoritism. These cases highlight tensions between platform efficiency gains and fears of self-preferencing, though of harm remains contested, with Amazon's practices credited by some for enabling scale efficiencies that benefit consumers through broader selection and lower costs. Beyond Amazon, other e-commerce platforms face similar examinations, such as India's 2024 antitrust findings against Amazon and for preferential treatment of select sellers, potentially violating laws. However, global evidence suggests that high market shares in online retail do not equate to monopoly power absent durable exclusionary conduct, as entry barriers are lower in digital markets compared to traditional ones, fostering ongoing rivalry. Antitrust enforcement risks overreach if it targets success driven by consumer demand rather than predation, potentially stifling the efficiencies that have expanded online shopping access.

Regulatory Interventions and Overreach

In the United States, antitrust authorities have pursued aggressive enforcement against major e-commerce platforms, exemplified by the Federal Trade Commission's (FTC) lawsuit filed on September 26, 2023, against Amazon. The suit, joined by 17 state attorneys general, alleged that Amazon maintained monopoly power in online superstores and marketplace services through practices such as pressuring sellers to match its prices and restricting third-party access to data, thereby inflating seller fees and consumer prices. This culminated in a September 2025 settlement requiring Amazon to pay $2.5 billion, including a $1 billion civil penalty—the largest under FTC Section 5—without admitting wrongdoing. Such interventions rest on consumer welfare standards but have drawn criticism for presuming harm absent clear evidence of reduced output or higher prices, as Amazon's scale has empirically lowered retail costs through efficiencies in supply chains and selection breadth, potentially constituting overreach that favors regulatory intervention over market-driven outcomes. The European Union's (DMA), enforced from March 7, 2024, targets "" platforms like Amazon with rules prohibiting self-preferencing in product rankings, mandating for business users, and requiring to foster contestability. Amazon, designated a for its core platform services, faces ongoing scrutiny, with probes likely in 2025 over compliance in areas like ad data access and seller favoritism. Detractors contend this represents regulatory overreach by imposing prophylactic obligations without case-specific proof of anticompetitive effects, exporting stringent standards globally and raising compliance burdens—estimated in billions for platforms—that could deter and elevate barriers for smaller entrants, ultimately burdening consumers with reduced or higher costs. Data privacy mandates, such as the EU's General Data Protection Regulation (GDPR) effective May 25, 2018, compel e-commerce firms to obtain explicit consent for tracking and personalize minimally, affecting ad targeting and recommendation engines central to online retail. Compliance has imposed substantial costs, with non-EU firms facing fines up to 4% of global turnover, yet studies reveal counterproductive outcomes: GDPR correlated with a 20-30% drop in small website entry and heightened concentration among top publishers, as resource-poor entities exited while incumbents adapted via consolidated tech stacks. This overreach arises from conflating privacy with competition harms without causal evidence that reduced data use benefits consumers net of lost personalization efficiencies, which have driven e-commerce's price deflation; instead, it amplifies asymmetries favoring dominant players resilient to regulatory friction.

References

Add your contribution
Related Hubs
User Avatar
No comments yet.