A Framework for Developing Management Intelligent Systems

A Framework for Developing Management Intelligent Systems

Zhaohao Sun
DOI: 10.4018/IJSSOE.2016010103
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Abstract

This paper proposes a framework for developing management intelligent systems (MiS). The proposed framework identifies the main management functions, intelligent systems and decision support systems (DSS) for planning, organizing, leading and controlling, and their corresponding applications as the core components of MiS. It integrates the main management functions with intelligent systems and DSS in a context of decision making by managers in organizations. This paper also examines intelligent systems for management and management decision making. The approach proposed in this paper might facilitate research and development of MiS, management, intelligent systems, and information systems.
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2. Background

This section provides a background on information systems, management information systems, and intelligent systems for research of MiS.

Management is what managers do (Robbins, Bergman, Stagg, & Coulter, 2012, p. 12). More specifically, management is the process of managers’ coordinating and overseeing the work activities to ensure their completion. The main management functions or activities consist of planning, organizing, leading and controlling (Terry, 1968; Robbins, Bergman, Stagg, & Coulter, 2012). Management functions in organizations have remarkably improved with the development of advanced ICT and information systems over the past decades (Turban & Volonino, 2011) (Laudon & Laudon, 2015).

Information systems as a discipline encompasses the concepts, principles, methodologies and processes for two broad areas of activity within organizations: 1. acquisition, deployment, management, and strategy for ICT resources and services; and 2. packaged system acquisition or system development, operation, and evolution of infrastructure and systems for organizational processes (ACM, 2010). Information systems are vital to problem identification, analysis and DM of managers (ACM, 2010).

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