Abstract: Using citations from Social Science Citation Index, this paper develops a list of the twenty-five most cited papers from Human Systems Management over its first twenty-five volumes. Only one author appeared more than once on the list. Nineteen of the papers were from the 1980s and six of the papers were from the 1990s.
Keywords: Citations, Social Science Citation Index (SSCI), most cited papers
Abstract: Much of knowledge management has been aimed at capturing, converting and connecting information and knowledge as it is generated in an organization. As a result, knowledge management is focused on the past and present, providing decision makers information and knowledge. Decision makers are then responsible for using that knowledge to anticipate the future. As a result, knowledge management systems generally do not have a capability to anticipate the future. Thus, there is interest in understanding how knowledge management systems will be able to accommodate anticipation of the future at the systems level. One approach is the use of so-called "mirror…worlds." The concept of a mirror world is based on a bold assertion: "You will look into a computer screen and see reality." With mirror worlds, managers could be proactive, anticipating what might happen and acting accordingly, instead of waiting till events happen and then reacting. Using transaction and other data, information and knowledge, mirror worlds of companies could be built in order to anticipate the future. This paper compares mirror worlds to other virtual worlds, evaluates the state of mirror worlds and examines potential limitations of such constructs for predictive knowledge management.
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Abstract: This paper examines the potential organizational impact of expert systems (ES's), in particular, the impact on decision making, organizational structure, degree of decentralization, level of organizational effectiveness, content of organizational roles, leadership and power, communications and information flow and the personnel requirements of the organization. Generally, the nature and magnitude of the impact can be described as a function of many factors, four of which are considered in this paper: the suitability of tasks to ES's, the purpose of use of the ES, the ES tools used and the ES computing environment.
Keywords: Expert systems, artificial intelligence, organization theory