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2008 | Book

Cooperative Sourcing

Simulation Studies and Empirical Data on Outsourcing Coalitions in the Banking Industry

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About this book

Foreword “Make or buy?” The question about optimal sourcing is one of the oldest and most central questions of managerial economics. Consequently, the question about IT outsourcing has been an important research topic of the Information Systems discipline for the past two decades. The financial services industry also has a long tradition in IT outsourcing (ITO) with IT representing, besides people, the only “production facility” of banks. The cost structure of non-physical pr- ucts and services in the financial services sector relies heavily on fixed costs and, thus, holds high potential for the inter-organizational bundling of processes and achieving cost savings from economies of scale and skill. In this book, Dr. Beimborn advances the traditional academic view on IT outsourcing towards a sourcing network perspective. The complexity in this paradigm, which adds to the complexity of the traditional outsourcing research perspective and, furthermore, generalizes it to a business process outsourcing (BPO) perspective, consists in the fact that typically more than two parties will negotiate and that the roles of insourcer and outsourcer are not necessarily p- defined in advance. It is striking that in the otherwise generally mature outsou- ing literature the sourcing network issue has been almost completely ignored so far.

Table of Contents

Frontmatter
1. Introduction
Abstract
IT outsourcing (ITO) has become a tool that is frequently used by firms for reducing their portfolio of activities and achieving, among other things, economies of scale and skill by using a specialized provider. Because of their high level of IT reliance and business processes that are mostly fully digitizable, the value opportunities offered by outsourcing are especially attractive for financial services firms. Accordingly, Hirschheim and Dibbern (2002) found the first remarkable ITO deal in 1963 when insurance company Blue Cross of Pennsylvania outsourced its data processing to EDS. However, despite many other industries having utilized advances in information and communication technologies — as a subsequent step — to restructure their value creation, to outsource, automate, and integrate business processes, and to form value networks, there is still substantially less disintegration of value chains in the financial services industry. As a consequence, experts assume that there are significant efficiency potentials in the industry.
2. Theoretical Foundation and Related Research
Abstract
This chapter provides the foundation for our research on cooperative sourcing. In the first part (section 2.1), the theoretical foundation is developed from different economic and organizational theories, while the second part (2.2) reviews the application of these theories to the outsourcing phenomenon in earlier related research on identifying the determinants of outsourcing decisions. Based on the results of this chapter and the empirical data in chapter 3, the formal cooperative sourcing model is developed in chapter 4.
3. Cooperative Sourcing in the Banking Industry
Abstract
The aim of this chapter is to provide insights into the chosen application domain and to clarify the motivation behind selecting cooperative sourcing behavior in the banking industry.
4. Developing a Formal Model for Cooperative Sourcing
Abstruct
Based on the literature research in the preceding parts, this chapter introduces a formal model of cooperative sourcing (referred to as cooperative sourcing model — CSM) which allows for both analytical and simulative studies in the remainder. First, based on the previous summary of related literature on mathematical outsourcing models (section 2.2.3), the motivation behind choosing this formal approach is explained (section 4.1). Based on the theoretical foundation (chapter 0), the model is successively developed — from different cost functions (process costs and transaction costs) to the cooperative sourcing decision calculus. After providing the basic structure in section 4.2, we distinguish a centralized perspective (4.3) and a decentralized perspective (4.4), completing the model by decision calculi either of the central planner (binary non-linear optimization problem) or the autonomously deciding agents (maximizing individual benefits from cooperative sourcing with uncertainty about the partners’ behavior). Finally, section 4.5 extends the model by considering legal and regulatory constraints which are specific to the banking environment.
5. Analytical and Simulative Studies
Abstract
In this chapter, the previous formal and empirical work will be used for conducting analytical and simulative studies on cooperative sourcing behavior and the resulting market effects in order to answer the research questions of this work.
6. Conclusion
Abstract
This concluding chapter starts with a summary of the findings gathered in this work (section 6.1). Based on the results, the contributions for research and implications for practitioners are derived (6.2). The subsequent sections focus on validating the chosen research approach (6.3) as well as on the related limitations, which have been accepted in this research (6.4). While certain limitations always exist in research, some of them provide promising directions for future research, highlighted in section 6.5.
Backmatter
Metadata
Title
Cooperative Sourcing
Author
Daniel Beimborn
Copyright Year
2008
Publisher
Gabler
Electronic ISBN
978-3-8350-5588-9
Print ISBN
978-3-8350-0946-2
DOI
https://doi.org/10.1007/978-3-8350-5588-9