E-COMMERCE EVALUATION AND E BUSINESS TRENDS

Aktymbayeva A. S.; Koshkimbayeva U. T.; Zhakupova A. A.; Alimgaziyeva N. K.; Amir B. M.

Aktymbayeva A. S. Candidate of Geographical Science, Kazakhstan, Almaty, al-Farabi Kazakh National University
Koshkimbayeva U. T. Candidate of Geographical Science, Kazakhstan, Almaty, al-Farabi Kazakh National University
Zhakupova A. A. Candidate of Geographical Science, Kazakhstan, Almaty, al-Farabi Kazakh National University
Alimgaziyeva N. K. M.S., Kazakhstan, Almaty, al-Farabi Kazakh National University
Amir B. M. M.S., Kazakhstan, Almaty, al-Farabi Kazakh National University

Keywords: E–Commerce, ICT, Business Model, E –Commerce Metrics, E – Business

Abstract

E-Commerce in recent times has exploded many folds due to the invention of new Information and Communication (ICT) technologies and applications. Business models of today are highly depending upon internet based transaction and trading platforms, use of Web portals and mobile applications. Proposition of new business models sans the inclusion of internet and their application has become almost impossible for business. Business data pertaining to E Commerce has become highly valuable in recent times. Social networking websites, sharing of product data and its reviews in blogs paves ways for promoting business in new methods. There is need to develop metrics to assess the strength of E Commerce penetration in Business and also evaluate the various E Commerce platforms. Use of E business tools for data analysis, prediction and decision making has become the latest order of the day. Changing trends in E business has a drastic impact on the organizations depending upon internet based applications for handling its business processes and day to day transactions.

References

Alessandra Colecchia (2000). Defining and measuring Electronic Commerce - Towards the development of an OECD methodology, Organisation for Economic Co-operation and Development (OECD). Accessed from: http://www.singstat.gov.sg/statsres/conferences/ecommerce/d8.pdf

Applegate, L. M. (2001). E-business Models: Making sense of the Internet business landscape, In G.Dickson, W. Gary, and G. DeSanctis (Eds.), Information Technology and the future enterprise: New models for managers, Upper Saddle River, N.J.: Prentice Hall.

Auer,C. & Follack,M.(2002).Using Action Research for Gaining Competitive Advantage out of the Internet‘s Impact on Existing Business Models, In the Proceedings of the 15th Bled Electronic Commerce Conference – eReality: Constructing the eEconomy, Bled, Slovenia, June 17 – 19, pp.767-784., 2002.

Falko Timme (2004). Mail Server Survey. Accessed from: http://www.falkotimme.com/projects/survey_smtp.php

Forrester Research. (2010). “The Splinternet: Preparing for an Internet Fragmented by Devices and Passwords,” January 26, 2010; http://www.forrester.com/rb/Research/splinternet/q/id/56 303/t/2

Hayes,J. & Finnegan,P. (2005).―Assessing the of Potential of e-Business Models: Towards a Framework for Assisting Decision-Makers,‖ European Journal of Operations Research, (160), 365-379.

Global futurist (2004). Top ten E Business trends. Accessed from: http://www.globalfuturist.com/about-igf/top-ten-trends/top-ten-ebusiness-trends-for-the-21st-century.html

IDC (2004). Linux market overview. Accessed from: http://pascal.case.unibz.it/retrieve/1281/linux_market_overview.pdf

Kaplan, S., Sawhney, M. (2000). E-hubs: The new B2B marketplaces. Harvard Business Review (May–June), 97– 103.

Michael Piastro (2010). The top 10 trends shaping the future of ecommerce. Accessed from: http://www.imediaconnection.com/content/27969.asp

Netcraft (2012). Market Share for Top Servers Across All Domains August 1995 - July 2012 - July 2012 Web Server Survey. Accessed from: http://news.netcraft.com/archives/2007/04/02/april_ 2007_web_server_survey.html

Oracle (2011). The Top 10 Technical Considerations for Evaluating E-Commerce Platforms. Oracle White Paper. March 2011. Accessed from: http://www.oracle.com/us/products/applications/atg/top-10-considerations-ecommerce-333324.pdf

Oracle. (2012). E-Commerce Analytics Trends for 2012. An Oracle White Paper February 2012, pp.3-4. Accessed from: http://www.oracle.com/us/products/applications/web-commerce/ecommerce-analytics-trends-2012-1504948.pdf

Osterwalder, A., & Pigneur, Y. (2002). An eBusiness Model Ontology for Modeling eBusiness, In the Proceedings of the 15th Bled Electronic Commerce Conference – eReality: Constructing the eEconomy, Bled, Slovenia, June 17 – 19, 2002, pp. 75-91.

Pastuszak,Z. (2003), ―E-commerce customer service in Polish computer stores‖, Proceedings of the Second IASTED International Conference on Communications, Internet and Information Technology, ACTA Press, Scottsdale/Phoenix, AZ, pp. 54-60.