AN INFORMATION SYSTEM SUCCESS MODEL FOR CLOUD COMPUTING IN INFORMATION TECHNOLOGY PROJECT

Zulfan Zulfan

Abstract


Cloud computing is becoming an attractive technology due to its dynamic scalability and effective usage of the resources, it can be utilized under circumstances where the availability of resources is limited. The main aim of this study is to develop an IS successful model for cloud computing in IT project environment. There were 38 respondents participated in this study. Data were collected by surveys and analyzed by SPSS. The findings of the study revealed that the system under study was quite successful on use of cloud computing in IT project assignment and very useful. In addition to all hypotheses in this study were interrelated.

Keywords


cloud computing, Google apps, IT project, IS success

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References


T. Sviridova, L. Sviridova, and B. Tymoshenko, “Google Apps as solution of communication issues in educational process,” MEMSTECH’2011, no. May, pp. 183–184, 2011.

M. Ali and Z. Khan, “Validating IS success model: Evaluation of Swedish e-Tax system,” Lund University, 2010.

R. D. Freeze, K. A. Alshare, P. L. Lane, and H. J. Wen, “IS success model in e-Learning context based on students’ perceptions,” Journal of Information Systems Education, vol. 21, no. 2, pp. 173–185, 2010.

W. DeLone and E. McLean, “Measuring e-commerce success: Applying the DeLone & McLean information systems success model,” International Journal of Electronic Commerce, vol. 9, no. 1, pp. 31–47, 2004.

P. Reisberger, T. Reisberger, and S. Strahringer, “Measuring success of comerce,” Proceeding of The 6th International Workshop for Technical, Economic and Legal Aspects of Business Models for Virtual Goods, pp. 117–138, 2008.

. DeLone and E. McLean, “Information systems success: The quest for dependent variable,” Information System Research, vol. 3, no. 1, pp. 65–95, 1992.

C. Baun, M. Kunze, and J. Nimis, Cloud computing web-based dynamic IT services. New York: Springer, 2011.

A. T. Velte, T. J. Velte, and R. Elsenpeter, Cloud computing : a practical approach. United States of America: Mc Graw Hill, 2010.

B. Furht, “Cloud computing fundamentals,” Springer, vol. Chapter 1, no. 4, pp. 3–19, 2010.

K. Ericson and S. Pallickara, “Survey of storage and fault tolerance strategies used in cloud computing,” Springer, vol. Chapter 6, no. 4, pp. 137–158, 2010.

P. Mell and T. Grance, “The NIST definition of cloud computing recommendations of the National Institute of Standards and Technology,” Special Publication 800-145, 2011.

S. P. Mirashe and N. V Kalyankar, “Cloud computing,” Communications of the ACM, vol. 51, no. 7, p. 9, 2010.

R. Teeter and K. Barksdale, Google apps for dummies. United States of America: Wiley Publishing, Inc., 2008.

K. Laudon and J. Laudon, Essentials of management information systems, 6th ed. New York: Prentice Hall, 2004.

B. Ives, M. H. Olson, and J. J. Baroudi, “The measurement of user information satisfaction,” Communications of the ACM, vol. 26, no. 10, pp. 785–793, 2008.

J. E. Bailey and S. W. Pearson, “Development of a tool for measuring and analyzing computer user satisfaction,” Management Science, vol. 29, no. 5, pp. 530–545, 1983.

W. J. Doll and G. Torkzadeh, “The measurement of end-user computing satisfaction,” MIS Quarterly, vol. 12, no. 2, pp. 259–274, 1988.

P. Seddon and S.-K. Yip, “An empirical evaluation of User Information Satisfaction (UIS) measures for use with general ledger accounting software,” The Journal Information System, vol. 6, no. 1, 1996.

M. A. Mahmood, J. M. Burn, L. A. Geomoets, and C. Jacquez, “Variable affecting information technology end-user satisfaction: A meta-analysis of the empirical of the empirical literature,” International Journal of Human Computer Studies, vol. 52, no. 4, 2002.

W. J. Doll, X. Deng, T. S. Raghunathan, G. Torkzadeh, and W. Xia, “The meaning and measurement of user satisfaction : A multigroup invariance snalysis of the end-user computing satisfaction istrument,” Journal of Management Information Systems, vol. 21, no. Summer, 2004, 2004.

J. Iivari, “An empirical test of the DeLone-McLean model of information system success,” ACM SIGMIS Database, vol. 36, no. Spring 2005, pp. 8–27, 2005.

M. L. Markus and M. Keil, “If we build it, they will come: Designing information systems that people want to use,” Sloan Management Review, vol. 35, no. Summer 1994, 1994.

W. DeLone and E. McLean, “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, 2003.

A. N. H. Zaied, “An integrated success model for evaluating information system in public sectors,” Journal of Emerging in Computing and Information Sciences, vol. 3, no. 6, pp. 814–825, 2012.

S.-M. Hellstén and M. Maiju, “The DeLone and McLean model of information systems success – original and updated models,” Seminar in Human-Computer Interaction, pp. 1–5, 2006.

Y.-S. Wang, H.-Y. Wang, and D. Y. Shee, “Measuring e-learning systems success in an organizational context: Scale development and validation,” Computers in Human Behavior, vol. 23, no. 4, pp. 1792–1808, Jul. 2007.

J.-H. Wu and Y.-M. Wang, “Measuring KMS success: A respecification of the DeLone and McLean´s model,” Information & Management, vol. 43, no. 6, pp. 728–739, 2006.

S. Petter, W. DeLone, and E. McLean, “Measuring information systems success: models, dimensions, measures, and interrelationships,” European Journal of Information Systems, vol. 17, no. 3, pp. 236–263, Jun. 2008.

S. I. Swaid and R. T. Wigand, “Measuring the quality of e-service: An empirical study,” Journal of Electronic Commerce Research, vol. 10, no. 1, pp. 13–28, 2009.

P. J.-H. Hu, “Evaluating telemedicine systems success: A revised model,” Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS’03) IEEE, 2003.

L. A. Halawi, R. V. McCarthy, and J. E. Aronson, “An empirical investigation of knowledge management systems,” Journal of Computer Information Systems, vol. 48, no. 2, p. 121, 2007.

R. Connolly and F. Bannister, “eTax filing & service quality : The case of the revenue online service,” World Academy of Science, Engineering and Technology, vol. 14, pp. 313–317, 2008.

P. Luarn and H.-H. Lin, “A customer loyalty model for e-service context,” Journal of Electronic Commerce Research,, vol. 4, no. 4, pp. 156–167, 2003.

R. L. Oliver, Satisfaction: A behavioral perspective on the consumer. New York: Mc Graw Hill, 1997.

R. L. Oliver, “A cognitive model of the antecedents and consequences of satisfaction decisions,” Journal of Marketing Research, vol. 17, no. 4, pp. 460–469, 1980.

J. Etezadi-Amoli and A. F. Farhoomand, “A structural model of end user computing satisfaction and user performance,” Journal Information and Management, vol. 30, no. 2, pp. 65–73, 1996.

L. Kalof, A. Dan, and Thomas Dietz, Essentials of social research, 1st ed. United States of America: Open University Press, 2008.

B. J. Oates, Researching information systems and computing. London: SAGE Publications Ltd, 2006.

U. Sekaran and R. Bougie, Research methods for business: A skill-buiding approach, 5th ed. United Kingdom: John Willey and Sons, 2010.

J. Henseler, C. M. Ringle, and R. R. Sinkovics, “The use of partial least squares path modeling in international marketing,” New Challenges to International Marketing, vol. 20, pp. 277–319, 2009.

J. Nunnally and I. Bernstein, Psychometric theory, 3rd ed. New York: McCraw-Hill, 1994.

J. Pallant, SPSS survival manual: A step by step guide to data analysis using SPSS for Windows. New York: McGraw-Hill Education, 2007.




DOI: http://dx.doi.org/10.22373/cs.v2i1.2661

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