Table Of ContentDecision Support for Global Enterprises
Annals of Information Systems
Volume 1:
Managing in the Information Economy: Current Research Issues
Uday Apte, Uday Karmarkar
Decision Support for Global Enterprises
edited by
Uday Kulkarni
Arizona State University
Daniel J. Power
University of Northern Iowa
Ramesh Sharda
Oklahoma State University
Springer
Uday Kulkami Daniel J. Power
Arizona State University University of Northern Iowa
Tempe, AZ, USA Cedar Falls, Iowa, USA
Ramesh Sharda
Oklahoma State University
Stillwater, OK, USA
Library of Congress Control Number: 2006936086
ISSN: 1934-3221 / 1934-3213 (e-book)
ISBN-10: 0-387-48136-2 (HB) ISBN-10: 0-387-48137-0 (e-book)
ISBN-13: 978-0-387-48136-4 (HB) ISBN-13: 978-0-387-48137-1 (e-book)
Printed on acid-free paper.
© 2007 by Springer Science+Business Media, LLC
All rights reserved. This work may not be translated or copied in whole or in
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Table of Contents
Preface VII
I. OVERVIEW: Concepts, Theories, and Frameworks
Understanding Decision Support Systems for Global Enterprises
DanielJ, Power, Ramesh Sharda, Uday Kulkarni, 3
Sources of Unstructuredness in Decision Situations:
Towards a framework for DSS Development
Sanjiv D. Vaidya, Priya Seetharaman 15
Critical Success Factors for Implementation of Business Intelligence Systems:
A Study of Engineering Asset Management Organizations
William Yeoh, Andy Koronios, Jing Gao 33
Support for Collaborative and Distributed Decision Making
Schalk Pienaar, Ananth Srinivasan, David Sundaram 51
Management of Knowledge Transfer in Distributed Software Organizations:
The Outsourcers' Perspective
Anuradha Mathrani, David Parsons 75
II. MEETING CHALLENGES: Empirical Studies
A Longitudinal Study of Information Exchange
in Computer-Mediated and Face-to-Face Groups
Ross Higlitower, Lutfus Sayeed, Merrill Warlcentin 93
The Email Strategy Investigation Model (eSIM):
A DSS for Analysis of Email Processing Strategies
Robert A. Greve, Ramesh Siiarda, Manjunath Kamatli, Ashish Gupta 113
Effects of Knowledge Management Capabilities on Perceived Performance:
An Empirical Examination
Ting-Peng Liang, Yen-Ching OuYang, DanielJ. Power 139
Using Social Choice Rule Sets in Multiple Attribute Decision Making
for Information System Selection
Edward W. N. Bernroider, Johann Mitlohner 165
VI
Individual's Response to Security Messages:
A Decision-Making Perspective
Tang Qing, Boon-Yuen Ng, Atreyi Kankanhalli 777
III. SUCCESSES AND FAILURES: Learning from Experience
An Analysis of ERP Decision Making Practice and Consequences
for Subsequent System Life Cycle Stages: A Case Study
Edward W. N. Bernroider 795
SCOLDSS: A Decision Support System for the Planning
of Solid Waste Collection
Eugenio de Oliveira Simonetto, Denis Borenstein 207
IV. EVOLVING TECHNOLOGIES: Next Generation Systems
Semantic Web Technologies for Enhancing Intelligent DSS Environments
Ranjit Bose, Vijayan Sugumaran 227
Towards a Unified Representation Framework
for Modelbases and Databases
TJiadtiiong Biirammanee, Vilas Wuwongse 239
A Multi-Attribute Auction Format for Procurement
with Limited Disclosure of Buyer's Preference Structure
AtulSaroop, SatisiiK. Seltgal, K. Ravilcumar 257
A Generic Model of Self-Incrementing Knowledge-Based
Decision Support System Using the Bolzmann Machine
Tapati Bandopadliyay, Pradeep Kumar 269
Preface
What are the obstacles and challenges faced in building Decision Support Systems (DSS)
for global enterprises? In multinational firms, computerized decision support systems must
support managers with diverse national and cultural backgrounds who are working in many
nations. This staffing reality creates a major overarching challenge. To bring the global
DSS community together, SIGDSS of the Association of Information Systems organizes an
International Conference on Decision Support Systems every other year. The purpose of
ICDSS 2007 is to promote discussion and interaction among members of the information
systems community with research interests in cutting edge decision support systems. The
emphasis is on emerging enterprise decision making processes, increasing needs of
decision-making and reasoning under uncertainty, new infrastructure for decision making
in organizations and society, the role of web technologies, and emerging theories and
practices for knowledge management.
This book of refereed papers is based upon selected papers submitted and reviewed for
presentation at the 9* International Conference on Decision Support Systems. The papers
are clustered into four categories that represent areas of significant research and
applications in the DSS domain: Decision Support for Global Enterprises.
The conference was hosted at the Indian Institute of Management, Calcutta, India. A
strong local hosting team worked hard to organize this meeting. This team deserves our
grateful thanks: Professor Amitava Bagchi who served as the conference General Co-
Chair; Professors Ambuj Mahanti and Rahul Roy, Local Arrangements Co-Chairs; the
Local Arrangements Team consisting of Debashis Saha, Balram Avittathur, and Partha
Sarathi Dasgupta; Dinesh Varma, Conference Manager, and Victor Mukherjee, Manager,
Mgt Dev Centre. We also acknowledge financial support provided by Teradata Corporation
as a sponsor of ICDSS 2007.
Papers for this volume were selected competitively after a rigorous review by an
outstanding program committee. We acknowledge the efforts of the following referees:
Amitava Dutta, George Mason University
Bartel Van de Walle, Tilburg University
Benjamin Shao, Arizona State University
Carmine Sellitto, Victoria University - Melbourne
Choong Kwon Lee, Georgia Southern University
Daewon Sun, Notre Dame University
Deepak Khazanchi, University of Nebraska at Omaha
Derek Nazareth, University of Wisconsin - Milwaukee
Eugene Kim, University of Hartford
Faiz Currim, University of Iowa
Goutam Dutta, Indian Institute of Management - Ahmedabad
Haluk Demirkan, Arizona State University
Vlll
J.P. Shim, Mississippi State University
Jacques Aj ens tat, University of Quebec at Montreal
Karen Corral, Arizona State University
Michael Goul, Arizona State University
Mike Hart, University of Cape Town
Murray E. Jennex, San Diego State University
Narasimha Bolloju, City University of Hong Kong
Nazrul Islam, Asian Institute of Technology - Bangkok
Peter Keenan, University College - Dublin
Sean B. Eom, Southeast Missouri State University
Stanislaw Stanek, University of Economics in Katowice
Varghese Jacob, University of Texas at Dallas
Vijayan Sugumaran, Oakland University
We believe that this book presents a good compendium of recent DSS research in the
global context.
Ramesh Sharda, Conference General co-chair
Daniel J, Power and Uday Kulkarni, Program co-chairs
I. OVERVIEW:
Concepts, Theories, and Frameworks
Understanding Decision Support Systems for
Global Enterprises
Daniel J. Power\ Ramesh Sharda^ Uday KulkarnP
' University of Northern Iowa, Cedar Falls, lA 50614, U.S. A
2 Oklahoma State University, Stillwater, OK, 70478, U.S.A
^ Arizona State University, Tempe, AZ, U.S.A
[email protected]', [email protected]^, [email protected]^
Abstract. Globalization of markets is changing the structure of business enterprises and hence the
need for and design of computerized decision support systems. Trying to understand how decision
support systems can and should evolve in a global business environment is difficult, but this article
draws on current best practices, examples of deployments of available technology and trends to make
some sense of the problem. Six deployment issues are examined for the five broad categories of
decision support systems. The need for further research is apparent given the inadequacy of our
current knowledge.
Keywords: Decision support, globalization, decision support systems, DSS.
1 Introduction
According to a number of sources, the English and Dutch East India trading companies of
the early 17* Century were the first global enterprises. Modern global enterprises have a
similar broad reach, but conduct business in a much more complex trading environment.
Four hundred years ago a ship would depart Europe to trade in India or Asia and would
return with goods that were quickly absorbed into local markets. The captain of the ship
was an autonomous decision maker about what to buy and sell. Today global products and
services are produced and delivered in a technologically sophisticated environment of trade
and commerce. Consumer demand is more difficult to predict and managerial decisions are
more time sensitive. Managers make decisions in an electronic trading environment where
markets change rapidly and consumer demands are increasingly difficult to forecast.
Performance monitoring is complex, production is globally distributed, documents are
written in many language and communications are primarily electronic.
This article explores the characteristics of global enterprises and examines how they
may and do impact computerized decision support needs. Research on DSS in global
enterprises is rather limited. Iyer [7] and Iyer and Schkade [8] describe a specific DSS built
for global enterprises and the lesson learned. McDonald [12] extends this in the context of
global marketing DSS. There is general Information Systems research related to global
enterprises, for example Tractinsky and Jarvenpaa [9], Peppard [16], Myers and Tan [14],
