A Study on Factors Increase Utilization of Quantitative Analysis Tool in Decision Making

Nopadol Rompho

Abstract


In today’s business world, making business decisions is extremely complicated. Managers who have a full range of tools that assist in decision-making have the opportunity to lead their organization to a competitive advantage. The Quantitative Analysis Tool (QAT) is one such tool that managers can utilize in their decision-making. Interestingly, the QAT is dimming in popularity as seen in the decreasing emphasis on the QAT in the business and management curriculum in universities and lower application in the workplace. This study is aimed at studying the benefit of QAT to hopefully increase the utilization of this useful tool in organizational decision-making.Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology, and Theory of Planned Behaviour have shown that there is a relationship between (1) performance expectations and (2) self-efficacy and behavioural intention to use. Studies have found that there is a relationship between facilitating conditions and actual usage of QAT but no relationship between behavioural intention to use and actual usage of QAT. Findings in this study will definitely benefit managers who want to apply QAT to help manage their organizations.

Keywords


Quantitative Analysis Tool; Decision Making; Thailand

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References


Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. New Jersey: Prentice Hall, Englewood Cliffs.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Process, 50(2), 179-211.

Compeau, D. R., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.

Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. MA: Addison-Wesley, Reading.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: a global perspective, 7th Edition. New Jersey: Pearson Education.

Igbaria, M., Zinatelli, N.,Cragg, P.,& Cavaye, A. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-302.

Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioural intention to use an information system. Decision Sciences, 28(2), 357-389.

Vatanasakdakul, S., Aoun, C., & Li, Y. (2010). AIS in Australia: UTAUT application and cultural implication. Brisbane Association of Information Systems, Proceedings of 21st Australasian Conference on Information Systems, Australia.




DOI: http://dx.doi.org/10.3968/j.mse.1913035X20130702.3024

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