Management Information Systems a model of mis, Leading Research, and Research Trends



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Kim Won


CEO

Cyber Database Solutions

Austin, TX

EDUCATION


Ph.D. – University of Illinois in Urbana-Champaign, 1980

M.S./ B. S. – Massachusetts Institute of Technology


RESEARCH INTERESTS


Relational, Object-Oriented, & Object-relational database systems, Data Warehousing, Business intelligent systems (OLAP, Data Mining), Internet software infrastructure technology (HTML/XML, e-Commerce systems, etc.)




KEY PUBLICATIONS


  • Banerjee, J., H. T. Chou, et al. (1987). "Data Model Issues for Object-Oriented Applications." Acm Transactions on Office Information Systems 5(1): 3-26.



  • Banerjee, J., W. Kim, et al. (1987). Semantics and implementation of schema evolution in object-oriented databases. Proceedings of the 1987 ACM SIGMOD international conference on Management of data.





  • Kifer, M., W. Kim, et al. (1992). "Querying object-oriented databases." Proceedings of the 1992 ACM SIGMOD international conference on Management of data 393-402.






Operations Management

Background


Operations management (OM) is the design, operations and improvement of the systems that create and deliver a firm's primary products and services. It uses the decision making tools of Operation Research and Management Science and is concerned with many of the same issues as Industrial Engineering but has a distinctive main management role. It is concerned with managing all of the individual processes in the firm's system as effectively as possible.

Operations research (OR) which is OM's most direct parent applies a systematic (mathematical) approach to decision making, which seeks to determine how best to design and operate a system under constraints (both deterministic and stochastic) requiring the allocation of limited resources. Nowadays, OR deals with a large number of topics, including logistics, supply chain, decision sciences, scheduling, material resource planning etc.

As OM is moving more and more into the domain of E-commerce, it is becoming an integral part of the MIS field.

Timeline






  • 1947: George B. Dantzig introduces the Simplex algorithm for solving linear programming problems

  • 1950's-1960's: Operations research is starting to differentiate from IE and OR by people like Edward Bowman, Robert Fetter, Elwood S. Buffa and others. Tools such as queuing theory, simulation and linear programming become more prevalent.

  • 1970's: Joseph Orlicky and Oliver Wright lead the way in Material Requirement Planning (MRP) research. Additional new tool are introduced among which are shop Scheduling, Inventory Control, Forecasting.

  • 1980's: Just-In-Time (JIT) production is developed by Japanese companies. Total Quality Control (TQC) philosophy tries to aggressively eliminate production defects. The theory of Constraints is developed. New methods such as bottleneck analysis and Outward Processing Transactions are developed.

  • 1990's: Michael Hammer introduces the notion of Business Process Reengineering (BPR). Total Quality Management (TQM) is developed by W. Edward Deming, Joseph M. Juran and Philip Crosby. The Internet brings the Electronic enterprise age. Supply chain management is developed.

  • 2000's: E-commerce. The convergence of IT and Operations Management has brought it into mainstream MIS. Hau Lee at Stanford, Marshall Fisher from Wharton and Ralph Sprague from Hawaii University are examples of researcher working in this interface.

Trend of Operations Management in MIS


The phrases chosen were: "Operations Management", "Production Management", "Supply Chain", "Scheduling" and "Inventory Management". These phrase try to capture the research topics Operations Management has been dealing with for the past decades (Production and inventory management) along with more recent ones (Supply chain).

Looking at the time line and the graph together it can be seen that Supply Chain" which was virtually non existent before the 90's has boomed in the last decade. In contrast, topics such as Scheduling and Inventory Management which were very popular research topics as computers became more widespread and accessible in the 70's declined rapidly in the mid 80's as interest shifted (and remained steady since).

On the aggregate level, despite the huge rise of interest in Scheduling in the mid 70's and the similar decline rate in the mid 80's, there seem to be a steady rise in research activity with Supply Chain as the leading field in recent years.



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