Research Paper: "Measuring effectiveness of E-Commerce Systems"

Measuring effectiveness of E-Commerce Systems

KAUSHAL DESAI
            Assistant professor of English language & Literature,
At-Shree Parekh Science, Arts & Commerce College,
Mahuva, Gujarat, India.










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Abstract:
The foremost concept of E-commerce has enhanced the usage of Web Assessment Method, Going beyond Traditional Marketing, and E-commerce intelligence. It can relate with E-Market for the new trends in this area. This paper is contributes to several areas of Web usage analysis for E-Commerce system. It can be pointed out that measurement of e-business performance has exceptional in this field. E-business performance can be measured in several ways, ranging from measures of traffic on an e-commerce site, to measures of customer behavior, and ultimately, to measures of e-business effectiveness. One of the great benefits of the internet is that it enables tracking and measurement of business activity. In this paper we will consider the benefits provided by well designed metrics, what aspects of e-commerce can be measured, and what are the sources of information for such measurements. An e-commerce system is a software platform where buyers and sellers interact through web-based services. Accessing content on-line or remotely manage transactions is difficult for novice users which are the majority of the on-line population today. E-commerce systems differ from other web applications in that a basic condition of their success is the total involvement of the end-user at almost every stage of the purchasing process. This is not the case in the majority of other web applications. The growth that Business to Consumer e-commerce systems has experienced in the past few years has triggered the research on the identification of the factors that determine end-user acceptance of such systems.
Keywords: E-Commerce, quality attributes, evaluation framework, Web Assessment Method, Going beyond Traditional Marketing, and E-commerce intelligence, E-Commerce Website Success, E-Market.




Introduction
E-commerce systems are comprised of many components with several configuration parameters that optimize system performance. How the performance get works so taking sense of these parameters include hardware components (routers, firewalls, digital switches, servers, and workstations); software products (HTML editors, Java development environments, network user interfaces, browsers, groupware, middleware, and so forth); network elements (such as wireless, cable, and satellite networks, and Web-based telephony); other transmission network services (the Internet and virtual private networks). (S., L. and P.) E-commerce systems are heterogeneous, distributed and concurrent and as such, designing for quality is not an easy task. B2C software has several features that make traditional software quality metrics less effective in producing realistic quality measurements. To ensure the high quality of e-commerce systems, rigorous web engineering approaches are needed to help developers to address the complexities of these web applications, as well as to minimize the risk of development, deal with the possibility of change, and deliver applications quickly, based on end-users’ requirements. It can be based on the target provider that can use work smoothly plus essential approach for the proper work. Bellow image can highlight essential point.




From the New Testament it has been convicted that Beginning from the corpus of existing general purpose web metrics, the first step of our methodology for constructing the framework includes a survey of web metrics that can be applied to e-commerce systems. The survey resulted in a categorization and qualitative measurement of metrics and it is unique in its B2C software orientation. This helped not only to gain a spherical view of the field but to identify gaps that need to be filled in. This classification is beneficial to researchers who may wish to carry out a meta-analysis of quality evaluation of end-users’ preferences. After the collection and initial categorization, the metrics were categorized using the framework, which also includes a taxonomy that identifies internal metric characteristics. A data mining analysis provided a set of association rules between the various dimensions of the framework. The framework answers questions about what metrics are appropriate for evaluating different parts of an e-commerce system and how they can be measured. These are usually questions involving at most two dimensions of the framework. In order to provide answers to more complex questions involving combinations of dimensions, an ontology that corresponds to the framework was developed. The population of the ontology with the results of the categorization analysis resulted in e-commerce web metrics knowledge base.
E-business   
To express about this point, in 21st century modified the work with conduction way to all. And it can enhance the things more evidently. And by looking on metrics it can be more crystal clear.


 
(Chapter 12 Metrics for Performance)

Management and measurement go hand in hand. Commonly heard expressions in business are, “If you don’t measure it, you cannot manage it” and “If you don’t measure it, it doesn’t get done.” Metrics can help an entity to better understand its business model to understand the customer base and thereby better target the content of the e-commerce website, to better target promotions and discounts, product placements, up-selling and cross-selling, and to better manage price points.
Nevertheless, there are several broad categories of measurements that should be considered for use in assessing performance of e-commerce units:
·         traffic and site usage metrics
·         marketing metrics
·         financial metrics
·         other performance metrics
·         multi-dimensional scorecards
Metrics can serve as a communication device to provide guidance to the personnel who are assigned the responsibility for achieving strategic objectives on what they are expected to do, since implicit within metrics are the variables that must be acted upon to positively affect those metrics.
E-Commerce Websites with the Web Assessment Method
Since the time is begins with online trades as well methods to access, The Internet could be, at least from a technological point of view, the closest approximation of a perfect market and a frictionless economy. Ubiquitous information allows buyers to compare the offerings of vendors worldwide. One prediction of customer behavior claims that all marketing activity can be reduced to one factor, namely price. Writes Kuttner, for example, in Business Week: “But in Net commerce, the whole premise is that consumers will be, and should be, fickle. So the comparison shopper can use Amazon's delightful book reviews and other nifty features and then disloyally buy the product from Barnes & Noble if the price is lower”  (Kuttner)
At present, Amazon apparently has found a unique Internet selling proposition by creating a loyal virtual community. That said, what precisely made Amazon more flourishing than its competitors? This question of "what makes Websites more attractive than the ones of the competition?" is the focus of the Web Assessment model. We aim at identifying possible success factors that differentiate one website from similar offerings within the same industrial sector. For one, as the Web has created a new marketing arena with new rules and new opportunities, Amazon employs a very distinctive marketing and website strategy. Today, many approaches for the assessment of Internet marketing strategies (e.g. Dutta et al. 1997; Palmer and Griffith 1998) are based on existing marketing paradigms. As pointed out by Palmer and Griffith (1998) website design includes both marketing and technical issues. Next to that, the electronic realm creates entirely new marketing opportunities that call for new concepts. The Web Assessment model is based on the three market transaction phases information, agreement, and settlement and a special "community component". The model goes beyond traditional concepts by dedicating special attention to the unique feature of the Internet to build loyal virtual communities. The Web Assessment model does not focus on the electronic commerce strategy for a certain firm or the ex-ante decision of whether to go online and invest in this type of technology platform. Instead, the model provides a useful analysis of the quality of a commercial website from a consumer perspective.
Based upon the Web Assessment methodology a software tool was created in order to enable Web users to make an online evaluation of their favorite Web sites. The paper describes the underlying model and presents the first observations which could be made when using the tool. The findings outlined in this paper were collected from participating Internet users who completed the online questionnaire. The data is a collection of subjective user assessments of various Internet commerce applications. There are various kinds of observations which can be made with the Web Assessment tool. We selected examples portraying a "single company profile" and an "inter-business comparison". The inter-business comparison is explored in more detail using the examples of two bookstores the already legendary virtual Amazon.com versus the traditional bookseller Barnes & Noble.
E-Commerce Website Success
with the huge area of trends and it can enlightened the E-market end with that Business managers have recognized the need to assess the payoffs of the e-commerce investment, yet they are less able to assess the effectiveness of their website due to limited measurements available to them (Straub et al, 2002). Clear, useful measurements that capture website performance have long enabled managers to improve strategies and operations. Optimizing the efficiency of this site it us look of the analysis.
The website, the basic element of conducting business online, is a collection of pages residing on servers that is connected to World Wide Web. It is an information system written in a special language enabling different functionalities allowing the access of anyone with an Internet connection. It is an outcome of a firm’s effort to communicate with customers. The task assigned to the website, however, is reflected on the firm’s online model. A business model that underlies an e-commerce system operates such a website to serve as a communication channel for bidirectional information transfer, a platform for transacting, an interface for providing customer service (Quelch and Klein 1996) and allow the conduct of marketing (Schubert and Selz 2001). While the goal of such a business model is to sell their products/services and maximize profit/shareholder value by allowing transactions online with another party, organizations that incorporate such technologies still need to have a sense of what proportion of their business will be online, their target audience, their value preposition, and most importantly, the path for delivering maximum customer value (Krishnamurthy 2003).
The drivers of value in the physical space are driven by the marketing mix. However, in the online space, customers are using the commercial website for informational, transactional and/or customer services purposes. The absence of face to face interaction between buyer and seller and the non-verbal cues can be offset by other factors such as product information, as buyers can only attend to the characteristics of the message being sent to them (Coughlan et al 2006); quality factors such as interactivity functionalities to make customers feel that they are part of the process; assisting customers to find and select products; responsiveness to queries, to name just a few. Therefore, the objective of the organization must be to differentiate the site and create a web-unique selling proposition appealing to the target group(s), consolidating competitive advantage and conveying a customer value. Hence the organizational uses of the website are focused on enhancing the visibility of their Internet exposure to their existing and potential customers, communicating company image, increasing brand awareness, supporting their customers to effectively use products or services provided by the firm and focusing on the three phases of marketing: pre-sale, on-line sale and after-sale. Let us check the system that how it can be analyses.


Thus, all the circumstances may affect to the target point. Once the system quality approaches to the user satisfaction so it can make outcome with benefits. It suggested that the quality of the content, system and service of the IS determine the users’ intention to use, their actual use and their satisfaction with the IS. The question makes relief that service quality is good for the use.
This paper steal a look with various aspects concerning with E-Commerce and measure it with effectiveness. However, in 21st century these whole dimension hierarchies give particular things to peep in and come out with gigantic result. Yet, somehow the base is musing about progress in future access with introducing altar-techniques and with betterment.



Works Cited

Kuttner, Robert. The Net: A Market Too Perfect For Profits. Ed. Stephen B. Shepard. <www.bloomberg.com/businessweek>.

Krishnamurthy, Sandeep (2003), E-commerce management : text and cases. Mason, Ohio: Thomson/South-Western. 

"Metrics for Performance Measurement in E-Commerce." Conducting E-Business (n.d.): 247-264.
Ranganathan, C. and Shobha Ganapathy (2002), "Key dimensions of business-to-consumer web sites," Information & Management, 39 (6), 457-65.

Schubert, P. and D. Selz (2001), "Measuring the effectiveness of e-commerce Web sites," in E-commerce & VBusiness, S. and Hunt Barnes, B., Ed. Oxford: Butterworth-Heinemann.

Samiaji, Sarosa. and Didar Zowghi (2005), "Information Technology Adoption Process within Indonesian SMEs: An Emperical Study," in Australian conference on information system

S., Abrahão, Olsina L. and Oscar P. "Towards the Quality Evaluation of Functional Aspects of Operative Web Applications." (2003).

Palmer, W. Jonathan (2002), "Web site usability, design, and performance metrics," Information Systems Research,13 (2), 151.

Rai, A, S.S Lang, and R.B Welker (2002), "Assessing the validity of IS success models: An empirical test and theoretical analysis." Information Systems Research, 13 (1), 50-69.






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