The Effect of Marketing Information System Quality on the Marketing – Related Decision: Applied Study in Jordan

Authors

  • Dmaithan Abdelkarim Almajali, Dr. Zarqa University, Zarqa, Jordan

DOI:

https://doi.org/10.25255/jbm.2016.4.2.93.109

Keywords:

Actual use, user satisfaction, Marketing information system

Abstract

This study aimed at investigating the effect of marketing information system quality on the marketing – related decisions in the limited liability companies. The results showed that the hypotheses related to the effect of the quality of marketing information system on both user satisfaction and actual use of the system can be accepted. In addition, the results showed that user satisfaction had a positive effect on the actual use of the system. On the other hand, the mediator user satisfaction variable had no statistical effect on the relation between the quality of the system and the actual use of the system. Finally, recommendations and limitations were presented.

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References

Almajali, D., Maqableh, M., and Masa'deh, R. (2015). Assessing the Digital Divide Status of the Jordanian Telecentre. Int. J. Communications, Network and System Sciences, 8, 428-439.
Altamony, H., Masa'deh, R, Alshurideh, M., and Obeidat, B. (2012). Information Systems for Competitive Advantage: Implementation of an Organisational Strategic Management Process, in the 18th IBIMA Conference on Innovation and Sustainable Economic Competitive Advantage: From Regional Development to World Economic, Istanbul, Turkey, 9th-10th May.
Alter, S. (1999). Information Systems – A Management Perspective, New York: Addision- Wesley.
Bani Ismaeel , B. (2015). The Importance of Using Marketing Information Systems in Five Stars Hotels Working in Jordan: An Empirical Study. International Journal of Business Management and Administration, 4(3), 044-053.
Davis, F., Bagozzi, R., and Warshaw, P. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
Griffin, R. (1999). Management, USA: Houghton Mifflin Company.
Harmon, R.R. (2003). Marketing Information Systems, Encyclopedia of Information Systems, (on-line), 3, Available:file://A:googlescholar.com
Hair, J., Black, W., Babin, B., and Anderson, R. (2010). Multivariate Data Analysis, 7th ed., Prentice Hall, Upper Saddle River, New Jersey.
Kotler, P. and Keller, K. L. (2006). Marketing Management, New Jersey: Person Prentice Hall.
Laudon, K.C., and Laudon, J. P. (1988). Management Information Systems, New York: Macmillan Publishing Company.
Maqableh, M., Masa’deh, R., Shannak, R., and Nahar, K. (2015). Perceived Trust and Payment Methods: An Empirical Study of MarkaVIP Company. Int. J. Communications, Network and System Sciences, 8, 409-427.
Porter,C., and Donthu,N. (2006). Using the Technology Acceptance Model to Explain How Attitudes Determine Internet Usage: The Role of Perceived Access Barriers and Demographics. Journal of Business Research, 59, 999-1007.
Schumacker, R. E., and Lomax, R. G. (2004). A Beginner’s Guide to Structural Equation Modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
Tsai, W., Chen, S., Hwang, E., and Hsu, J. (2010). A Study of the Impact of Business Process on the ERP System Effectiveness. International Journal of Business and Management, 5(9), 26-37.
Wöber, K. (2006). Improving the Efficiency of Marketing Information Access and Use by Tourism Organizations. Institute of Tourism and Leisure Studies, Vienna University of Economics and Business Administration, Austria.
Wiersma, W. (2000). Research Methods in Education: An Introduction (7nd ed.). Boston: Allyn and Bacon.

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Published

2018-06-12

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Articles