Abstract

The phenomenon of Global Software Development (GSD) has attracted the interest of businesses all over the world. It brings together partners from various national and corporate cultures to develop applications with numerous advantages, including access to a vast labor pool, cost savings, and round the clock growth. GSD, on the other hand, is technologically and organizationally diverse and poses a number of obstacles for the development team, such as geographical distance, cultural differences, communication and language barriers. Global services are provided by selecting one of the suitable global delivery options, i.e., the onshore model, nearshore model or offshore model. Experts typically choose one of the models based on the nature of the project and the needs of the customer. However, the vendors and clients lack an adequate decision support system that can assist them in making suitable sourcing decisions. Therefore, the current study presents a Multi-Criteria Decision Making (MCDM) model for offshore outsourcing decisions of application maintenance. To achieve our target, two systematic literature reviews were conducted that explored a list of 15 influencing factors. The identified factors were further evaluated in the outsourcing industry by performing an empirical study that resulted in a list of 10 critical success factors. We propose a sourcing framework based on the critical success factors that can assist decision makers in adopting a suitable sourcing strategy for the offshore outsourcing of application maintenance. In order to further enhance the decision-making process, the MCDM model is developed based on the Analytic Hierarchy Process (AHP). The MCDM model is evaluated with three case studies in highly reputable international companies, including IBM Stockholm, Sweden, Vattenfall AB, Stockholm, Sweden and a London based company in the United Kingdom. The outcomes of these case studies are further reviewed and validated by the outsourcing specialists in other firms. The proposed model is used as a decision support system that determines the ranking of sourcing alternatives and suggests the most suitable option for application maintenance offshoring.

Highlights

  • Over the last few decades, Global Software Development (GSD) has been the emerging trend for the development of software across the globe

  • The current study aims to introduce a Multi-Criteria Decision Making (MCDM) model by using the Analytic Hierarchy Process (AHP) technique for offshore outsourcing decisions of application maintenance

  • This segment presents the findings and discussion of the current study, which are as follows: Section 4.1 presents a list of 15 influencing factors by using systematic literature review, a list of 10 critical success factors by performing empirical study and the proposed sourcing framework

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Summary

Introduction

Over the last few decades, Global Software Development (GSD) has been the emerging trend for the development of software across the globe. Software development outsourcing is a business strategy that has been adopted by organizations for the last two decades. This can be defined as “an agreement between client and vendor where the client hands over its software or part of it to vendor and vendor provides the services”. Organizations adopt the offshoring strategy in order to significantly reduce their maintenance costs by utilizing the cheaper resources of low-wage countries. In order to provide application maintenance in the offshore outsourcing context, the IT experts and decision makers select one of the three models, which are onshore, nearshore. A multicriteria decision making model, based on the identified critical success factors is proposed for the sourcing decision of application maintenance in the current paper.

Study Background
Literature review
Proposed Method
Performing Systematic Literature Review
Performing Empirical Study
AHP Technique for MCDM Problem
Results and Discussion
Multi-Criteria Decision Making Model Based on AHP
Assigning Weights to Criteria
Pairwise Comparison Matrix of Criteria
Calculating the Index Ratio and Consistency Ratio
Calculating the Alternatives Weights with Respect to the Criteria
Decision Matrix
Conclusions and Future Work
Methods
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