Prioritizing Key Factors of Executive Information Systems to Manage Data and Explain Strategy in Small and Medium Industries with AHP

Atena Mirhosseini Vakili, Habibeh Jafari

Abstract


Historically, executive managers have less opportunity to use computer compared with other members of a company. An executive information system has become a necessity as the only effective and complete information system for managers’ learning in a competitive market. Skill is the main and essential issue in solving problems especially for executive managers. To improve skills and to apply insight, company managers need to use backup equipment like executive information systems (EIS). Concerning the importance and role of determining strategy in an organization and managing its information, it is tried to explain strategy and to manage data in small and medium industries using EISs. Managers have been informed of the importance of EISs; this paper selects the best strategies for small and medium industries by collecting data and managing collected data. The research case study is small and medium industries in Golestan Province. It is attempted in this research to strengthen and analyze weaker factors by evaluating and analyzing quantitative and qualitative criteria determined to prioritize them. Data integrity is considered the best factor after reviewing factors using hierarchy model and Expert Choice software.


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References


Abdullah, L., & Zulkifli, N. (2015). Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management. Expert Systems with Applications, 42, 4397–4409. https://doi.org/10.1016/j.eswa.2015.01.021

Amy H. I. et al. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan, Expert Systems with Applications, 34, 96–107. https://doi.org/10.1016/j.eswa.2006.08.022

Andrews, K. R. (1987). The concept of the corporate strategy, Irwin, Homewood, IL.

Asgharpour, M. J. (2008). Multi-criterion decision making. Tehran University.

Azar, A., & Faraji, H. (2002). Fuzzy management science. Iranian Center of Studies and Productivity.

Beheshtian, M., & Abolhasani, H. (2001). Management information systems. Tehran University

Kackar, R. N. (1987). Taguchies Quality Philosophy: Analysis and commentary, Quality Assurance, 13, 65-71

Liang, T. P., & Hung, S. Y. (1997). DSS and EIS applications in Taiwan, 10(4), 303-315.

Lorgnge, P. (1998). Strategy implementation: the new realities, long Rang planning, 18-30.

Mackeracher, D. (1996). Making sense of adult learning. Toronto, Ontario: culture concepts.

Magolda, M. (1992). Knowledge and reasoning in college: gender-related patterns in students intellectual development. sanfrancisco, CA: jossey-Bass.

McBride, N. (1995). The roles of executive information system in organization: an inter pretive analysis. Proceedings of the 28th Hawaii inter national conference on system sciences, 110-119.

Meade, L. M. & et al. (1997). Justifying strategic alliances and partnering a prerequisite for virtual enterprising, Omega, 29-43. https://doi.org/10.1016/S0305-0483(96)00034-5

Mintzberg, H., & Raisinghani, D. (1976). A. theoret, the structure of "unstructured", decision processes, Administrutive science Quarterly, 12(2), 267-275.

Nord, J. H., & Nord, D. (1995). Executive information system: a study and comparative analysis, Information And Management, 29(2), 95-106. https://doi.org/10.1016/0378-7206(95)00013-M

Rockart, A. C., & Treacy, M. E. (1982). The CEO Goes online, Harward business Review, 80-82.

Saaty, T. L. (1994). How to make a decision: the analytic hierarchy Process. Inter faces, 24(6). https://doi.org/10.1287/inte.24.6.19

Sauter, V. (1999). Decision support system .New York: John Wiley and sons.

Vandenbosch, B., & Higgins, C. (1994). The measurement of learning from executive information system. Proceedings of the 27th Hawaii international conference system sciences, 572-585. https://doi.org/10.1109/HICSS.1994.323461

Vowler, J. (1995). BPR projects fail to deliver. computer weekly, June(22), 28.

Wang, X. et al. (2016). How smart is your tourist attraction? Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach Tourism Management, 54, 309-320. https://doi.org/10.1016/j.tourman.2015.12.003

Wanga, L. et al. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process, Int. J. Production Economics, 107, 151–163. https://doi.org/10.1016/j.ijpe.2006.08.005

Watson, H. J. et al. (1991). Executive information system a framework for development and a surevy of current practice, MIS Quarterly, 15(1), 13-30. https://doi.org/10.2307/249431

Yin, C. Y. (2015). Measuring organizational impacts by integrating competitive intelligence into executive information system .Journal of Intelligent Manufacturing, 1-15. https://doi.org/10.1007/s10845-015-1135-4

Yu, C. P. et al. (2015). The roots of executive information system development risks, Information and Software Technology, 68, 34–44. https://doi.org/10.1016/j.infsof.2015.08.001




DOI: https://doi.org/10.5296/ijhrs.v8i1.12430

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