Towards Successful Cloud Ordering Service

• Authors: Yan-Kwang Chen , Yi-Ju Chen , Fei-Rung Chiu , Cheng-Yi Wang
• Languages of publication: EN

Abstracts

EN

Background: The rise of cloud services has led to a drastic growth of e-commerce and a greater investment in development of new cloud services systems by related industries. For SaaS developers, it is important to understand customer needs and make use of available resources at as early as the system design and development stage. Objectives: This study integrates E-commerce Systems (ECS) Success model and Importance-Performance Analysis (IPA) into empirical research of the critical factors for cloud ordering system success. Methods/Approach: A survey research is conducted to collect data on customer perceptions of the importance and performance of each attribute of the particular cloud ordering service. The sample is further divided according to the degree of use of online shopping into high-usage users and low-usage users in order to explore their views regarding the system and generate adequate coping strategies. Results: Developers of online ordering systems can refer to the important factors obtained in this study when planning strategies of product/service improvement. Conclusions: The approach proposed in this study can also be applied to evaluation of other kinds of cloud services systems.

Keywords

EN

E-commerce Systems Success model; Importance-Performance Analysis; cloud ordering service

• Publisher: Sciendo
• Journal: Business Systems Research Journal
• Year: 2015
• Volume: 6
• Issue: 1
• Pages: 1-21

Dates

published

2015-03-01

received

2014-07-21

accepted

2014-12-12

online

2015-05-09

Contributors

author

Yan-Kwang Chen

• National Taichung University of Science and Technology, Department of Distribution Management, Taiwan

author

Yi-Ju Chen

• National Taichung University of Science and Technology, Department of Distribution Management, Taiwan

author

Fei-Rung Chiu

• Overseas Chinese University, Department of Hotel and M.I.C.E Management, Taiwan

author

Cheng-Yi Wang

• National Chung Hsing University, Institute of Technology Management, Taiwan

References

• 1. Ainin, S., Hisham, N. H. (2008), “Applying Importance-Performance Analysis to Information Systems: An Exploratory Case Study”, Journal of Information, Information Technology, and Organizations, Vol. 3, pp. 95-103.
• 2. Armbrust, M. et al. (2010), “A View of Cloud Computing”, Communications of the ACM, Vol. 53 No. 4, pp. 50-58.[Crossref][WoS]
• 3. Brown, I., Jayakody, R. (2008), “B2C e-Commerce Success: a Test and Validation of a Revised Conceptual Model”, The Electronic Journal Information Systems Evaluation, Vol. 11 No. 3, pp.167-184.
• 4. Buyya, R., Yeo, C. S., Venugopal, S. (2008), “Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities”, in: 10th IEEE International Conference on High Performance Computing and Communications, 2008, Dalian, pp. 5-13.
• 5. Chen, J. V. et al. (2013), “Success of electronic commerce Web sites: A comparative study in two countries”, Information & Management, Vol. 50 No. 6, pp. 344-355.[Crossref][WoS]
• 6. Christodoulides, G., Michaelidou, N., Siamagka, N-T. (2013), “A typology of internet users based on comparative affective states: evidence from eight countries”, European Journal of Marketing, Vol. 47 No. 1/2, pp. 153-173.[WoS]
• 7. DeLone, W. H., McLean, E. R. (1992), “Information systems success: The quest for the dependent variable”, Information Systems Research, Vol. 3 No.1, pp. 60-95.[Crossref]
• 8. DeLone, W. H., McLean, E. R. (2003), “The DeLone and Mclean model of information systems success: A ten-year update”, Journal of Management Information Systems, Vol. 19 No.4, pp. 9-30.
• 9. DeLone, W. H., McLean, E. R. (2004), “Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model”, International Journal of Electronic Commerce, Vol. 9 No.1, pp. 31-47.
• 10. Dikaiakos, M. D. et al. (2009), “Cloud Computing: Distributed Internet Computing for IT and Scientific Research”, IEEE Internet Computing, Vol. 13 No.5, pp. 10-13.[Crossref][WoS]
• 11. Fang, Y. H. et al. (2011), “Understanding customers’ satisfaction and repurchase intentions: An integration of IS success model, trust, and justice”, Internet Research, Vol. 21 No.4, pp. 479-503.[Crossref][WoS]
• 12. Gainsbury, S. et al. (2012), “A digital revolution: Comparison of demographic profiles, attitudes and gambling behavior of Internet and non-Internet gamblers”, Computers in Human Behavior, Vol. 28 No. 4, pp. 1388-1398.[WoS][Crossref]
• 13. Habib, S. M. et al. (2012), “Trust as a facilitator in cloud computing: a survey”, Journal of Cloud Computing: Advances, Systems and Applications, Vol. 1 No. 1, pp. 1-19.
• 14. Hollenhorst, S., Olson, D., Fortney, R. (1992), “Use of Importance- Performance Analysis to Evaluate State Park Cabins: The Case of the West Virginia State Park System”, Journal of Park and Recreation Administration, Vol. 10 No. 1, pp. 1-11.
• 15. Kim, D. J., Ferrin, D. L., Rao, H. R. (2009), “Trust and satisfaction, two stepping stones for successful e-commerce relationships”, Information Systems Research, Vol. 20 No. 2, pp. 237-257.[WoS][Crossref]
• 16. Lee, K. (2012), “Security Threats in Cloud Computing Environments”, International Journal of Security and Its Applications, Vol. 6 No. 4, pp. 25-32.
• 17. Lee, M. K. O., Turban, E. (2001), “A trust model for consumer Internet shopping”, International Journal of Electronic Commerce, Vol. 6 No. 1, pp. 75-91.
• 18. Lin, C. C., Wu, H. Y., Chang, Y. F. (2011), “The critical factors impact on online customer satisfaction”, Procedia Computer Science, Vol. 3, pp. 276-281.
• 19. Lohse, G. L., Bellman, S., Johnson, E. J. (2000), “Consumer buying behavior on the internet: findings from panel data”, Journal of Interactive Marketing, Vol. 14 No.1, pp. 15-29.[Crossref]
• 20. Lu, X., Ba, S., Huang, L., Feng, Y. (2013). “Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews”, Information Systems Research, Vol. 24 No. 3, pp. 596-612.[Crossref][WoS]
• 21. MacQueen, J. B. (1967), "Some Methods for classification and Analysis of Multivariate Observations", in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, Vol. 1, pp. 281-297.
• 22. Martilla, J. A., James, J. C. (1977), “Importance-performance analysis”, Journal of Marketing, Vol. 41 No.1, pp. 77-79.[Crossref]
• 23. Mason, R. O. (1978), “Measuring information output: A communication systems approach”, Information & Management, Vol. 1 No. 4, pp. 219-234.[Crossref]
• 24. McKnight, D. H., Chervany, N. L. (2002), “What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology”, International Journal of Electronic Commerce, Vol. 6 No. 2, pp. 35-59.
• 25. Molla, A., Licker, P. (2001), “E-commerce success: An attempt to extend and respecify the Delone and Mclean model of IS success”, Journal of Electronic Commerce Research, Vol. 2 No. 4, pp. 131-141.
• 26. Naseri, M. B., Elliott, G. (2011), “Role of demographics, social connectedness and prior internet experience in adoption of online shopping: Applications for direct marketing”, Journal of Targeting, Measurement and Analysis for Marketing, Vol. 19 No. 2, pp. 69-84.
• 27. Neves, F. T. et al. (2011), “The adoption of cloud computing by SMEs: identifying and coping with external factors”, available at http://run.unl.pt/bitstream/10362/6166/1/Neves_Marta_Correia_Neto_2011.pdf (25 October 2014)
• 28. O'Neill, S. (2011), “Forrester: Public Cloud Growth to Surge, Especially SaaS”, available at http://www.cio.com/article/2408798/cloud-computing/forrester--public-cloud-growth-to-surge--especially-saas.html (25 October 2014)
• 29. Pallis, G. (2010), “Cloud Computing: The New Frontier of Internet Computing”, IEEE Internet Computing, Vol. 14 No.5, pp. 70-73.[WoS][Crossref]
• 30. Pitt, L. F., Watson, R. T., Kavan C. B. (1995), “Service Quality: A measure of information systems effectiveness”, MIS Quarterly, Vol. 19 No. 2, pp. 173-187.[Crossref]
• 31. Quaddus, M., Achjari, D. (2005), “A model for electronic commerce success”, Telecommunications Policy, Vol. 29 No. 2-3, pp.127-152.[Crossref]
• 32. Rani, D., Ranjan, R. K. (2014), “A Comparative Study of SaaS, PaaS and IaaS in Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 4 No. 6, pp. 458-461.
• 33. Roman, S. (2010). “Relational consequences of perceived deception in online shopping: The moderation roles of type of products, consumer's attitude toward the Internet and consumer's demographics”, Journal of Business Ethics, Vol. 95 No. 3, pp. 373-391.[Crossref][WoS]
• 34. Seddon, P., Kiew, M. Y. (1996), “A partial test and development of DeLone and McLean’s model of information systems success”, The Australian Journal of Information System, Vol. 4 No. 1, pp. 90-109.
• 35. Shannon, C. E., Weaver, W. (1949). The Mathematical Theory of Communication, Urbana, IL, University of Illinois Press.
• 36. Skok, W., Kophamel, A., Richardson, I. (2001), “Diagnosing information system success: importance-performance maps in the health club industry”, Information & Management, Vol. 38 No. 7, pp. 409-419.[Crossref]
• 37. Tan, C. H., Teh, Y. W. (2013), “Harnessing Cloud Computing for Dynamic Resource Requirement by Database Workloads”, Journal of Information Science and Engineering, Vol. 29 No. 5, pp. 793-810.
• 38. Torkzadeh, G., Dhillon, G. (2002). “Measuring Factors that Influence the Success of Internet Commerce”, Information Systems Research, Vol. 13 No.2, pp. 187-204.[Crossref]
• 39. Wang, L., Laszewski, G. V., KUNZE, M., Tao, J. (2010), “Cloud Computing: a Perspective Study”, New Generation Computing, Vol. 28 No. 2, pp. 137-146. [Crossref]
• 40. Wang, Y. S. (2008), “Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success”, Information Systems Journal, Vol. 18 No. 5, pp. 529-557.[WoS]
• 41. Zhu, J. (2010), “Cloud Computing Technologies and Applications”, in Furht, B., Escalante, A. (Eds.), Handbook of Cloud Computing, Springer, pp. 21-45.

Identifiers

DOI

10.1515/bsrj-2015-0001