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Interdisciplinary research of options theory and management information systems: Review, research issues, and suggestions for future research

Liang‐Chuan Wu (Institute of Technology Management, National Chung Hsing University, Taichung, Taiwan, Republic of China)
Liang‐Hong Wu (Department of Business Administration, National Central University, Chung‐Li, Taiwan, Republic of China)
Yean‐Fu Wen (Department of Management Information Systems, National Chiayi University, Chiayi City, Taiwan, Republic of China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 23 March 2010



The purpose of this paper is to review research on options theory (OT) in the management information systems (MIS) field.


The paper reviews OT and suggests further ways it may be useful for MIS.


The paper explores current global trends and past uses of OT by MIS researchers within a framework. The objective is to broaden discussion of OT in the MIS field, facilitate theory development, close gaps in existing knowledge, and uncover areas where research is needed. It is believed that MIS researchers will benefit from this study.

Research limitations/implications

The use of OT in MIS is still young. The discussions, issues, and ideas set forth in this paper should stimulate interest in incorporating OT in the field of MIS.

Practical implications

The paper identifies proper application of OT, thus enabling effective development. It seeks to build awareness and understanding of significant works in the field, providing a diversity of perspectives and approaches to MIS and more specific research of OT.

Social implications

The paper helps future theorizing and makes research suggestions regarding OT and the MIS field based on past research, thereby forming a potential basis for future research.


There has been no systematic literature review of real options in the management field. This paper is the pioneer one to do this.



Wu, L., Wu, L. and Wen, Y. (2010), "Interdisciplinary research of options theory and management information systems: Review, research issues, and suggestions for future research", Industrial Management & Data Systems, Vol. 110 No. 3, pp. 433-452.



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