Transactions of the SDPS:
Journal of Integrated Design and Process Science
17 (2), 2013, 59-88
The Evolution of Management Information Systems: A
Xiaojuan (Julia) Zhang*
School of Information Management, Wuhan University, Wuhan, China Abstract The Management Information Systems (MISs) have been displaying considerable diversity during the evolution in the past decades. It comes such a big demand and challenge to draw an overarching picture of the evolutionary development of MISs. By systematically investigating the existing representative literature/research in MISs, especially by analyzing and modeling the MIS concepts, this paper first identifies the crises and challenges the traditional MIS has faced. Furthermore, by applying EBD, a design methodology, the author analyzes how these crises have been addressed, and as a result, how the classical MIS Pyramid is transformed and developed into an intelligenceintegration framework for the understanding of MISs evolution, which is able to not only position various information systems, but also show how these systems are still interrelated in the whole process of the evolution. The two dimensional framework here for MISs is conceptual model based, and different from prior frameworks, is able to describe the overall evolution of management information systems dynamically, rather than just “partially”, or “statically”. This framework also provides a model applicable to the development of MISs and information technologies, thus it is has meanings not just academia but also practice. The descriptive validity or consolidation of the framework is demonstrated by applying it to published MISs’ studies. Future trends and challenges of MISs are also discussed based on the framework in this paper.
Keywords: Management information systems, evolution, framework, Environment Based Design, literature review
The Management Information System (MIS), or Management Information Systems (MISs) /Information Systems (ISs), have been displaying considerable diversity during its evolution in the past decades, which is demonstrated and also highlighted by such systems as Electronic Data Processing Systems (EDPS)/Transaction Processing Systems (TPS), Management Information Systems (MIS), Database Management Systems (DBMS), Decision Support Systems (DSS); Group Decision Support Systems (GDSS), Intelligent Decision Support Systems (IDSS), Executive Information Systems (EIS), Material Requirement Planning (MRP), Manufacturing Resources Planning (MRP II), Enterprise Resource Planning (ERP), Data Warehousing (DW) & Data Mining (DM), and Business Intelligence (BI), and also the application systems in the internet environment. However, even there are various models and frameworks which have contributed to the description of a particular part of the MIS field, there is still “no underlying framework” that provides “systematic” and “holistic” view of it (Bacon and Fitzgerald, 2001), or even the MIS/IS systems. Meanwhile, numerous research issues have been raised in doing the research in the stream. It comes such a big demand and challenge to draw an overarching picture of the evolutionary development *
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Zhang / The Evolution of Management Information Systems: A Literature Review
of MISs, and address these issues and concerns. By systematically investigating the existing representative literature/research in MISs, with an emphasis on analyzing and modeling the MIS concepts, this paper first clearly identifies the crises and challenges the traditional MIS has faced. Furthermore, by applying the Environment-based Design (EBD) methodology, the author analyzes how the crises have been addressed,...
References: Ackoff, R. L. (1967). Management Misinformation Systems. Management Science, 14(4), Application
Ackoff, R. L. (1989). From Data to Wisdom. Journal of Applied Systems Analysis, 16, 3–9.
Ahsan, S. & Shan, A. (2006). Data, Information, Knowledge, Wisdom: A doubly Linked Chain?.
International Conference on Information and Knowledge Engineering, Las Vegas, USA June 26 - 29,
Al-Mashari, M. (2002) . Enterprise Resource Planning (ERP) Systems: a Research Agenda.
Al-Mashari, M., Al-Mudimigh, A., & Zairi, M. (2003). Enterprise Resource Planning: A
Taxonomy of Critical Factors
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge Management and Knowledge
Management Systems: Conceptual Foundations and Research Issues
Anthony, R. N. (1965). Planning and Control Systems: A Framework for Analysis. Cambridge, MA:
Harvard University Graduate School of Business Administration.
Arnott, D., & Pervan, G., (2005). A critical analysis of decision support systems research. Journal of
Information Technology, 20, 67-87.
Arsanjani, A. (2002). Introduction to the Special Issue on Developing and Integrating Enterprise
Components and Services
Baars, H., & Kemper, H. (2008) Management Support with Structured and Unstructured Data – An
integrated business intelligence framework, Information Systems Management, 25(2),132-148.
Bacon, C.J. & Fitsgerald, B. (2001). A Systemic Framework for the Field of Information Systems. The
DATABASE for Advances in Information Systems, 32(2), 46-67.
Baskerville, R. L., & Myers, M. D. (2002). Information Systems as a Reference Discipline, MIS Quarterly,
Blumenthal, S. C.(1969). Management Information Systems: A framework for planning and development.
Bolloju, N., Khalifa, M,, & Turban, E (2002). Integrating Knowledge Management into Enterprise
Environments for the Next Generation of Decision Support
Bond, B., Genovese, Y., Miklovic, D., Wood, N., & Zrimsek, B. (2000). ERP is Dead-Long live ERP II.
Booth, P. A. (1989). An Introduction to Human-computer Interaction. East Sussex, UK: Lawrence Erlbaum.
Botta-Genoulaz, V., Millet, P. A., & Grabot , B. (2005). A Survey on the Recent Research Literature on
Bowen, F.(2009). How SOA can ease your move to cloud computing, IBM. Retrieved from http://www01.ibm.com/software/solutions/soa/newsletter/nov09/article_soaandcloud.html
Buyya, R., Yeo, C
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I.(2009). Cloud Computing and Emerging
IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility
Card, S. K., Moran , T. P., & Newell, A. (1984). The Psychology of Human-Computer Interaction.
Chen, I. J. (2001) .Planning for ERP Systems: Analysis and Future Trend’, Business Process Management
Journal, 7(5), 374–386.
Choo, W. (1996). The knowing Organization: How Organizations Use Information to Construct Meaning,
Create Knowledge, and Make Decisions
Chung, S. H., & Snyder, C. A. (2000). ERP Adoption: a Technological Evolution Approach. International
Journal of Agile Management Systems, 2(1), 24-32.
Claver, E., Gonzales, R., & Llopis, J. (2000). An Analysis of Research in Information Systems (1981‐
Codd, E. F. (1970). A relational model for large shared data banks. Communications of the ACM, 13(6) ,
Cooper, B. L., Wasson, H. J., Wixom, B. H., & Goodhue, D.L. (2000). Data Warehousing Supports
Corporate Strategy at First American Corporation
Culnan, M. J. (1986). The Intellectual Structure of Management Information Systems, 1972-1982: a cocitation analysis. Management Science, 32(2), 156-172.
Culnan, M. J., & Swanson, E. B. (1986). Research in Management Information Systems, 1980-1984: point
of work and reference
Davenport, T. H.(1998). Putting the Enterprise Into the Enterprise System. Harvard Business Review, JulAug, 121-131.
Davenport, T.H., Harris, J. G., & Cantell, S. (2004). Enterprise Systems and Ongoing Process Change.
Davis, G. B. (1985). Management Information Systems: Conceptual Foundations, Structure, and
Davis, G. B. (Ed.). (2005). The Blackwell Encyclopedia of Management. Management Information Systems
(2nd edition, vol
Davis, G. B. (1980). The Knowledge and Skill Requirement for the Doctorate in MIS. Proceedings of the
first international conference on information systems, Philadelphia, Pennsylvania, December 8-10,
Dearden, J. (1966). Myth of Real-Time Management Information Systems. Harvard Business Review,
Dearden, J. (1972). MIS is a Mirage. Harvard Business Review, 50(1), 90-99.
Delic, K., & Daya,U. (2003). A New Analytical Perspective. Intelligent Enterprise, 11(6), 26-31.
Dickson, G. W. (1981). Management Information Systems: Evolution and Status. Advances in Computers,
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