Analysis of an Online Business - Amazon

Authors Avatar by steven1989225 (student)

The Internet has been available for public service since 1983. With it’s rapidly expanding popularity, the number of internet users has quickly risen to over fifty million in a four year period (Bingi, Mir and Khmalah, 2000). One of many advantages of Internet use is the potential and accessibility as a tool for electronic trade. Electronic commerce also known as e-commerce, can be referred to as the purchasing and retailing of products or services over an electronic system. It is increasing at an exponential rate. Credit Card Company ‘Visa’ reports the amount of internet use has increased rapidly from $600million in 1996 to $13 billion in 1999 and is expected to reach $100billion by 2003 (Tedeschi, 1998; Anderson 1997). Future business transactions seem to be transforming from in store shopping to online shopping (Kotler, 2000). Amazon.com was the first company who recommend books from in-store into the World Wide Web (Machlis 1998; Munk, 1999). The Economist (2000) noted the name ‘Amazon’ has become increasingly popular with e-commerce and it is one of the few brands recognised in the whole world. It is also the most visited site in the USA and top two or three in the UK, France, Germany and Japan.

 According to the book ‘Jeff Bezos: the founder of Amazon’ written by Ann Byers (2006). The company ‘Amazon’ was incorporated in 1994, in the state of Washington. It was named after the Amazon River, one of the largest rivers in the world. The logo of Amazon.com represents a smile of customer satisfaction and hopes to have every product in the alphabet. It started online as an online book store in 1995 by Jeff Bezos and sold its first ever book on the 15th of July, soon expanding into a much bigger retail company and claimed to sell millions of different products to more than 6.3 million customers in over 160 countries. Amazon has been proven to be a highly successful business with the value of $35.3 million in 2003. Despite losses, Amazon’s net income in March 2011 was $201m.

Chuchinprakarn  (2005) has found out trust is one of the key factors for successful e-commerce and for a success relationship between vendor and buyer. In e-commerce, trust can be described as a consumer’s ideas and expectations of the seller to be trustworthy and the quality of the products to meet these expectations. Trust is known to be the key factor to maximise online transactions for online retailer, as many consumers do not buy goods online because of their concern about online payment security, trustworthiness of the company and its lack of privacy policy. American Life Project reported 68% of online shoppers have issues disclosing personal financial information but only 48% had purchased online with a credit card; 3% reported they had been cheated by online vendors or their credit card details had been stolen (Fox, 2000). (The Economist, 2001), reported online vendors face the difficult challenge of building consumers trust so they will make purchases online from them.

For online retailers to enhance online trust, it is necessary to know what factors are likely to affect consumers’ confidence in e-commerce. Chuchinprakarn (2005) reported the theory of reasoned action (TPA) could predict behaviour intention such as intention to shop online.  Studies have shown trust, confidence in using credit cards, influence of friends and past behaviour has had significant effects on online shopping behaviour. A model of trust for Electronic Commerce (MoTEC) was first developed by Egger (1998); It contains three components: the pre interactional filters ‘a factor where it affects consumers’ confidence in online retailers before any online communication takes place’; the interface properties of the web site ‘the appeal of the interface such as the branding and usability’; the information content of the web site ‘information about the risk in online transactions and seller’s privacy policy and confidential information’ The advantage of this model is that it contains the entire interaction process between the retailer and consumer and the importance of consumer trust in e-commerce. However it could be argued there is a problem with this previous research as there is little empirical evidence for these models of trust in e-commerce as most of the published studies only investigated the intention of trust rather than the act of trusting, which means this trust literature has methodological problems as only few studies involve online purchasing engaged in real life. Kraute & Kaluscha (2003) pointed out most of studies on trust involved hands off and no purchase, some studies even have no interaction with trust at all (Sillence , Briggs, Fishwick and Harries, 2004)

With amazon.com becoming one of the leading online retail companies and spending almost 40 per cent of its income on brand building (Margolis, 1999) due mainly because of the belief trusted branding is what customers look for when they purchase a product online (Hof and Hemelstein, 1999). It is central to see what kind of mechanisms have been applied to Amazon electronic store in order to maintain a business. Amazon is the first company which allows users to search and order various books online even if the book is not common (Postrel, 1996); users are able to track their order through email alerts. (Hof, Neuborne and Green, 1998). ; Application such as ‘One click’ programs that automatically stored customer’s information, including credit card detail. This function makes the whole shopping experience much more convenient for the customer as it is only few clicks on the keyboard and the product has been purchased (Mellahi & Johnson, 2000). Additionally, Amazon is the first company to use recommender system technology (Mellahi & Johnson, 2000). E-commerce like Amazon itself used recommender system as a personalisation device to review previous buyer’s purchase history and then suggest items based on other buyers who have a similar purchase history and what they have bought (Resnick & Varian, 1997) this technology has soon become one of the main features of Amazon due to it proving to be highly valuable in attracting new customers. Previous research of Schafer, Konstan and Riedi (1999) reported this technology could increase loyalty of customers to online retailers which is essential for sites like Amazon itself due to many site’s competitors being a few clicks away. Recommendations can be used through email to remind customers of the product they had been looking for as soon as it becomes available online. This feature helps to increase the chance of customers returning and therefore contributing to the profit of the company. Amazon.com has a number of other features such as text comments, average rating and top N to increase loyalty between client and online retailer. Text comments itself allows customers to leave feedback on an item or about the seller they have bought from the site, other customesr are allowed to read this feedback when RS recommends items that are similar to their interests. This can increase loyalty and profit for the company as if enough people claim a particular item or seller is good, the customer will be more likely to believe and trust it and buy the particular item themselves and if the recommended item matches their expectation, they will be more likely to return to the same site and buy more products.

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Average rating feature is a bit like text comments however it allows customer to rate products rather than leave feedback even though these features are slightly different. Both features help convert potential clients and transform them into online buyers, it will help to increase loyalty to the site due to customers believing third parties such as amazon.com recommendations and if they like the product or the service they are receiving, they are more likely return to site and buy more products. Top-N features learns the information about what sort of product customers might like based on their previous buys then ...

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