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 Issue
Volume 16 Issue 1, ECIME 2012 / Jun 2013  pp1‑84

Editor: Dr. David Sammon, Dr. Tadhg Nagle

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Editorial of the ECIME 2012 Special Issue of EJISE  pp1‑2

Dr. David Sammon, Dr. Tadhg Nagle

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IT Risk Management: A Capability Maturity Model Perspective  pp3‑13

Val Hooper anMarian Carcaryd Tarika Kalidas

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Do IS consultants enhance IS competences in SMEs?  pp14‑25

Adrian Bradshaw, Paul Cragg, Venkat Pulakanam

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Exploring the Alignment of Organisational Goals with KM: Cases in Four Irish Software SMEs  pp26‑37

Ciara Heavin, Frederic Adam

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Information System Evaluation through an Emergence Lens  pp38‑47

Olgerta Tona, Sven A. Carlsson

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A novel approach to challenging consensus in evaluations: The Agitation Workshop  pp48‑58

John McAvoy, Tadhg Nagle, David Sammon

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Evaluation of a Collaborative Learning Environment on a Facebook Forum  pp59‑73

M.R. (Ruth) de Villiers, Marco Cobus Pretorius

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

Elena Serova

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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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