The Electronic Journal of Information Systems Evaluation provides critical perspectives on topics relevant to Information Systems Evaluation, with an emphasis on the organisational and management implications
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Journal Article

The Role of Agent Based Modelling in the Design of Management Decision Processes  pp74-84

Elena Serova

© Jun 2013 Volume 16 Issue 1, ECIME 2012, Editor: Dr. David Sammon and Dr. Tadhg Nagle, pp1 - 84

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Abstract

Abstract: Agent based modelling (ABM) is a new modelling paradigm and one of the most advanced practical developments in modelling. ABM promises to have far‑reaching effects on the way that business practitioners and academic researchers use information communication technologies to support decision making at different levels of management. Modern design models and architectural structures are opening up new possibilities and new application areas are coming to the foreground. Multi‑agent systems as sys tems of distributed artificial intelligence are now having a significant influence on information systems design, simulation and analysis. This paper focuses on the various modelling methods and technologies that are employed in the development of intelli gent decision support systems. Its goal is to evaluate the role of the agent based modelling in the design of management decision processes. The paper considers the main features of intellectual agent modelling methodology, and discusses the different ty pes modelling categorization. It does so from research base that draws from theoretical underpinnings as well as international and domestic industry practices. The basic principles of agent‑based modelling are first introduced and areas of application are then discussed from perspective of real‑world applications: flow simulation, organizational simulation, market simulation, and diffusion simulation. The classification of modelling types is discussed, together with and business application simulation fra meworks.

 

Keywords: Keywords: Modelling, Management, Information Systems, Decision Support Systems, Intellectual Agent, Multi-Agent Systems

 

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Journal Article

A Psychological Framework to Enable Effective Cognitive Processing in the Design of Emergency Management Information Systems  pp39-54

Christina M. Steiner, Alexander Nussbaumer, Karen Neville, Dietrich Albert

© Jul 2017 Volume 20 Issue 1, Editor: Shaun Pather, pp1 - 58

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Abstract

Human cognitive processing and decision making are essential aspects in emergency management. Emergency situations imply additional demands to information processing. To meaningfully support decision makers in emergencies, a comprehensive understanding of the human perception and decision making processes and their underlying principles is required in the design of Emergency Management Information Systems (EMIS). This paper presents a psychological framework that models the stages and components of decision making in the context of emergency management. To this end, psychological research on human perception and information processing, knowledge and competence modelling, human judgement and decision making, individual and situational factors, stress, and self‑regulation are identified as important compents of the framework. The psychological framework represents a comprehensive model of decision making of emergency managers, for a better understanding of the involved cognitive processes and influencing factors on the person level and on the context level. The paper posits the framework as a guide in the identification of requirements for emergency managers during systems analysis. This comprises systematically describing decision tasks in emergency situations and identifying needs for supporting them. The knowledge on human perception and decision making represented by the framework can also be used to inform the user interface design of the EMIS. It may also inform the evaluation of EMIS as it provides a theoretically founded representation of relevant aspects of human‑computer interaction, which facilitates the identification of success indciators to be addressed in user‑centred evaluation. The framework furthermore supports the design and implementation of training programmes through the differentiation and modelling of knowledge and competence relevant in emergency decision making. To demonstrate the application of the psychological framework in the design, development, and testing of EMIS a set of concrete design principles as well as exemplary paper prototypes applying these principles are presented.

 

Keywords: emergency management, information system, psychology, decision making, information processing, decision support, design principles, system design

 

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Journal Issue

Volume 20 Issue 1 / Jul 2017  pp1‑58

Editor: Shaun Pather

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Editorial

From July 2017 the Electronic Journal of IS Evaluation is moving to a continuous publishng model. This means that once a paper has completed the review process and the publishing fee has been received, it will proceed directly to production, and the time from submission to publication will be reduced.

A a reasult of this, Volume 20 Issue 1 will continue to have papers appended until the Editor decides to close the issue. An editorial will then be added here to complete the issue.

 

Keywords: E-Government, E-Government Benefits, Evaluation Models, Satisfaction-Satisfaction Matrix, e-government, m-government, smart government, technology acceptance model, UAE, business intelligence; information systems success; South Africa; DeLone and McLean, emergency management, information system, psychology, decision making, information processing, decision support, design principles, system design

 

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