management-information-systems

This chapter discusses the limited impact of computers on management's planning and decision-making functions despite their usefulness in bookkeeping tasks. It uses the example of Dartmouth College's efforts to analyze student academic records, highlighting the challenges posed by batch-processing systems that are inflexible and not designed for research purposes. The chapter proposes a solution involving transferring data to a more interactive system (DTSS) to facilitate educational research while protecting student privacy.

The chapter discusses the transformation of traditional bookkeeping systems into management information systems through the use of time-sharing computer systems, highlighting the challenges and benefits of such conversions. It uses Dartmouth's accounting system as a case study to illustrate how systems designed for one purpose, such as auditing and compliance, may fail to meet other important needs like budgeting and long-range planning. The author emphasizes Herbert Simon's idea that effective information systems should provide only the minimal necessary information to aid decision-making, and advocates for computer systems that can monitor and summarize data to alert management to potential financial issues proactively.

John G. Kemeny discusses the challenges and misconceptions around computer systems in management contexts, emphasizing the need for flexible design and proper integration of computing capabilities. He illustrates this with examples from Dartmouth College, where inflexible systems led to inefficient processes that were remedied by better use of computer memory and programming. The chapter stresses the importance of designing information systems with future needs in mind and training personnel to effectively utilize computer-generated information.

The chapter discusses the evolution of management information systems in large companies, emphasizing the need for a theoretical model to simulate company operations for effective long-term planning and decision-making. Using Dartmouth College's consideration of year-round operation as an example, the author illustrates the complexity of predicting cost increases associated with changes in enrollment, highlighting the limitations of current data and the reliance on educated guesses rather than precise calculations. The chapter underscores the challenges in understanding the nonlinear relationships between institutional changes and their financial and operational impacts.