Towards Improved Organisational Decision-Making – A Method and Tool-chain

Authors

  • Souvik Barat Tata Consultancy Services Research, India
  • Vinay Kulkarni Tata Consultancy Services Research, India
  • Balbir Barn Middlesex University, London, UK

DOI:

https://doi.org/10.18417/emisa.13.6

Keywords:

Organisational Decision Making, Simulation-driven Method, Enterprise Modelling

Abstract

Modern enterprises are large complex systems operating in an increasingly dynamic environment  and are tasked to meet organisational goals by adopting suitable course of actions or means. This calls for  deep understanding of the enterprise, the operating environment, and the change drivers reactive as well  as proactive. Traditionally, enterprises have been relying on human experts to perform these activities.  However, the sole reliance on humans for decision making is increasingly unviable given the large size of  modern enterprises, fast dynamics, and the prohibitively high cost of incorrect decisions. To address this  challenge, we propose a method that leverages existing enterprise modelling (EM) tools to improve the  agility of organisational decision-making as well as reducing the analysis burden on human experts. The  proposed method artifact employs a design science research methodology and the method is validated using  a realistic industrial case to bring out its strengths as well as limitations.

Author Biographies

Souvik Barat, Tata Consultancy Services Research, India

Souvik Barat is Senior Researcher at Tata Consultancy Services Research (TCSR). He holds a Masters Degree in Computer Science and Engineering from Indian Institute of Technology Madras. His research interests include Enterprise modeling, Model driven Engineering and Software Engineering.

Vinay Kulkarni, Tata Consultancy Services Research, India

Vinay Kulkarni is Chief Scientist at Tata Consultancy Services Research (TCSR). He holds a Masters Degree in Electrical Engineering from Indian Institute of Technology Madras. His research interests include Enterprise modeling, Adaptive systems, Software intensive information systems, Model driven engineering and Software Engineering.

Balbir Barn, Middlesex University, London, UK

Balbir Barn is Deputy Dean and Professor of Computer Science at Middlesex University London. His research interests are Enterprise Modeling, philosophical approaches to conceptual modeling such as theory building, the use of fiction analogies and Toulmin’s argumentation models from jurisprudence.

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Published

2018-04-25

Issue

Vol. 13 (2018)

Section

Research Article

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