4.5 Article

Empirical comparison of traditional plan-based and agile methodologies Critical success factors for outsourced software development projects from vendors' perspective

Journal

JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
Volume 30, Issue 3, Pages 400-453

Publisher

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/JEIM-06-2015-0056

Keywords

Critical success factors; Agile methodology; Outsourced software development projects; Traditional plan-based methodology; Vendors' perspective

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Purpose - Aligning the project management methodology (PMM) to a particular project is considered to be essential for project success. Many outsourced software projects fail to deliver on time, budget or do not give value to the client due to inappropriate choice of a PMM. Despite the increasing range of available choices, project managers frequently fail to seriously consider their alternatives. They tend to narrowly tailor project categorization systems and categorization criterion is often not logically linked with project objectives. The purpose of this paper is to develop and test a contingency fit model comparing the differences between critical success factors (CSFs) for outsourced software development projects in the current context of traditional plan-based and agile methodologies. Design/methodology/approach - A theoretical model and 54 hypotheses were developed from a literature review. An online Qualtrics survey was used to collect data to test the proposed model. The survey was administered to a large sample of senior software project managers and practitioners who were involved in international outsourced software development projects across the globe with 984 valid responses. Findings - Results indicate that various CSFs differ significantly across agile and traditional plan-based methodologies, and in different ways for various project success measures. Research limitations/implications - This study is cross-sectional in nature and data for all variables w-ere obtained from the same sources, meaning that common method bias remains a potential threat. Further refinement of the instrument using different sources of data for variables and future replication using longitudinal approach is highly recommended. Practical implications - Practical implications of these results suggest project managers should tailor PMMs according to various organizational, team, customer and project factors to reduce project failure rates. Originality/value - Unlike previous studies this paper develops and empirically validates a contingency fit model comparing the differences between CSFs for outsourced software development projects in the context of PMMs.

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