Effective Criteria in Evaluating Electronic Business Models

Document Type : مروری

Abstract

Amir Manian*, Babak Sohrabi**, Mozhdeh Sadighi***[1] Abstract     The highly competitive and variable nature of the business world has caused organizations to constantly try to adapt to their environment and keep up with the competition. Organizations that have dynamic business model are successful against their competition. Since every innovation and change in business models need sufficient information of the current situation, evaluation is considered as a prerequisite of any change. The goal of this study is to identify factors which help electronic businesses evaluate their business models. For this purpose, scientific texts in this area were selected by conducting qualitative meta-synthesis research. Then, evaluation factors were extracted from these texts by using content analysis. Finally, the degrees of importance of factors were determined by using Shannon entropy, which is a quantitative method for data analysis. Based on the findings, efficiency, lock-in and awareness with coefficients of 0.087, 0.087 and 0.080 respectively have high priorities for electronic business models assessment. Keywords: Electronic Business Model; Evaluation; Evaluation Factors; Meta-Synthesis؛ Shannon Entropy* Associate Professor, University of Tehran.** Professor., University of Tehran.*** Master-graduated, University of Tehran (Corresponding Author).E-mail: mozhdeh.sadighi@ut.ac.ir

References

  1. آذر، عادل. (1380، بهار و تابستان). بسط و توسعۀ روش آنتروپی شانون برای پردازش داده‌ها در تحلیل محتوی. فصلنامۀ علمی-پژوهشی علوم انسانی دانشگاه الزهرا (س)(37و 38)، 18- 1.
  2. سرمد، زهره.، بازرگان، عباس., حجازی، الهه. (1376). روشهای تحقیق در علوم رفتاری. تهران: انتشارات آگاه.
  3. Afuah, A., & Tucci, C. L. (2003). Internet business models and strategies (2nd ed.). MCGraw-Hill.
  4. Alt, R., & Zimmermann, H. (2001). Introduction To Special Section Business Models. Electronic Markets, 3-9.
  5. Amit, R., & Zott, C. (2001). Value creation in e-business. Strategic Management Journal, 493-520.
  6. Balocco, R., Perego, A., & Perotti, S. (2010). B2b eMarketplaces: A classification framework to analyse business models and critical success factors. Industrial Management & Data Systems, 110, 1117-1137. doi:10.1108/02635571011077799
  7. Chang, J. C.-J., Torkzadeh, G., & Dhillon, G. (2003). Re-examining the measurement models of success for Internet commerce. Information & Management, 41, 577-584.
  8. Chenail, R. J., & Weiss, A. D. (2007). Utilizing qualitative meta synthesis to conduct systematic reviews of primary healthcare research. 21st Annual Primary Care Research Methods & Statistics. San Antonio.
  9. Chesbrough, H., & Rosenbloom, R. S. (2002). The role of the business model in capturing value from innovation: evidence from Xerox corporation's technology spin-off companies. Industrial and Corporate Change, 529-555.
  10. Clark, T. (2009). Evaluating International Business Model Portability: A Framework for Integrating Economic, Strategic, Cultural Persvectives. PICMET , (pp. 143-151). Oregon.
  11. Critical Appraisal Skills Programme, (CASP). (2013). 10 questions to help you make sense of qualitative research. Oxford. Retrieved 1 21, 2014, from www.casp-uk.net/wp-content/uploads/2011/11/CASP-Qualitative-Research-Checklist-31.05.13.pdf
  12. El Sawy, O. A., & Pereira, F. (2013). Business Modeling in the Dynamic Digital Space. Berlin: SpringerBrief in Digital Spaces. doi:10.1007/978-3-642-31765-1_3
  13. Engdahl, F., & Rensfelt, J. (2011). (Master thesis). Business Model Evaluation and Generation System. Lund university.
  14. Gordijn, J., & Akkermans, H. (2001, April). Designing and evaluating E-business models. IEEE Intelligent systems, 11-17.
  15. Hamel, G. (2000). Leading the Revolution. Boston: Harvard Business School Press.
  16. Hayes, J., & Finnegan, P. (2005). Assessing the potential of e-business models: towards a framework for assisting decision-makers. European Journal of Operational Research, 365-379.
  17. Horsti, A. (2006). Combining critical success factors and life cycle model to enable evaluation of e-business models. IFIP International Federation for Information Processing. 226, pp. 337-351. Boston: Springer.
  18. Horsti, A., Tuunnainen, V. K., & Tolonen, J. (2005). Evaluation of electronic business model success. The 38th Hawaii International Conference on System Sciences (pp. 1-9). Hawaii: IEEE.
  19. Hughes, J., Lang, K. R., & Vragov, R. (2007). An analytical framework for evaluating peer-to-peer business models. Electronic Commerce Research and Applications, 105-118.
  20. Kalakota, R., Oliva, R. A., & Donath, B. (1999). Move over, Ecommerce. Marketing Management,, 8, 23-32.
  21. Kym, H., Rhee, Y.-A., & Kim, M. S. (2003). Development Study of Evaluation Indexes for Internet Business Models. International consortium for electronic Business, (pp. 1-10).
  22. Lee, C. S. (2001). An analytical Framwork for evaluating e-commerce business models and strategies. Internet Research: Electronic Networking Applications and Policy, 11, 349-359. Retrieved from http://www.emerald-library.com/ft
  23. Linder, J., & Cantrell, S. (2000). Changing Business Models: Surveying the Landscape. accenture Institute for Strategic Change.
  24. Lyons, K. (2008). Towards a Theoretically-Grounded Framework for Evaluating Immersive Business Models and Applications: Analysis of Vetures in Second Life. Virtual Worlds Research, 1, 1-19.
  25. Meulen, S. V., & Garcia, I. V. (2012). Business Models within Venture Capital Funds: The Evaluation of Business Models by Venture Capitalists. (Master thesis). Jönköping International Business School
  26. Morris, M., Schindehutte, M., & Allen, J. (2005). The entrepreneur's business model: toward a unified prespective. Journal of business research, 726-735.
  27. Ostaeyen, J. V., & Duflou, J. (2010). Assessing the potential of business model innovation for investment goods through Life Cycle Costing. CIRP IPS2 Conference, (pp. 527-534).
  28. Osterwalder, A. (2004). The Business Model Ontology-a proposition in a design science approach. (Doctoral dissertation). d'Informatiqe et Organization, Ecole desHautes Etudes Commerciales HEC. Switzerland: University of Lausnne.
  29. Osterwalder, a., & Pigneur, Y. (2010). Business model generation.
  30. Palmer, J. W., & Lindemann, M. A. (2003). Business Models and Market Mechanisms: Evaluating Efficiencies in Consumer Electronic Markets. The DATA BASE for Advances in Information Systems, 34, 23-38.
  31. Pateli, A., & Giaglis, G. (2003). A framework for understanding and analysing e-business models. 16th Bled Electronic Commerce Conference-eTransformation, (pp. 329-348). Bled.
  32. Sandelowski, M., & Barroso, J. (2007). Handbook for synthesizing qualitative research. New York: Springer publishing company, Inc.
  33. Seltsikas, P., & Currie, W. L. (2002). Evaluating The Application Service Provider (ASP) Business Model: The challenge of Integration. 35th Hawaii International Conference on System Sciences (pp. 1-9). IEEE.
  34. Sharma, S., & Gutierrez, J. A. (2010). An evaluation framework for viable business models for m-commerce in the information technology sector. (H.-D. Zimmermann, Ed.) Electron Markets, 33-52. doi:10.1007/s12525-010-0028-9
  35. Si, Y. h., Chen, T., & Zheng, W. f. (2011). An Approach to Evaluating Business Models: a Case study of Taobao. IEEE, 31-35.
  36. Teece, D. J. (2009). Business Models, Business Strategy and Innovation . Long Range Planning.
  37. Torbay, D., Osterwalder, A., & Pigneur, Y. (2002). eBusiness Model Design, Classification and Measurements. Thundervird International Business Review, 44(1), 5-23.
  38. Torkzadeh, G., & Dhillon, G. (2002). Measuring Factors that Influence the Success of Internet Commerce. Information System Research, 13, 187-204.
  39. Turban, E., King, D., Lee, J., & Chung, M. (2002). Electronic commerce – A managerial perspective. New Jersey.
  40. Weill, P., & Vitale, M. R. (2001). Place to space: Migrating to eBusiness Models. Boston: Harvard Business school press.
  41. Zografos, k. G., & Androutsopoulos, K. N. (2008). A methodoligical approach for developing and assessing business models for flexible transport systems. Transportation, 777-795. doi:10.1007/s11116-008-9176-6

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History

  • Receive Date: 30 September 2015
  • Revise Date: 15 November 2024
  • Accept Date: 31 December 2020

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