Arthur Ahimbisibwe

A contingency fit model of critical success factors for software development projects: A comparison of agile and traditional plan-based methodologies

– While the choices available for project management methodologies have increased significantly, questions remain on whether project managers fully consider their alternatives. When project categorization systems and criteria are not logically matched with project objectives, characteristics and environment, this may provide the key reason for why many software projects are reported to fail to deliver on time, budget or do not give value to the client. The purpose of this paper is to identify and categorize critical success factors (CSFs) and develop a contingency fit model contrasting perspectives of traditional plan-based and agile methodologies. , – By systematically reviewing the previous literature, a total of 37 CSFs for software development projects are identified from 148 articles, and then categorized into three major CSFs: organizational, team and customer factors. A contingency fit model augments this by highlighting the necessity to match project characteristics and project management methodology to these CSFs. , – Within the three major categories of CSFs, individual factors are ranked based on how frequently they have been cited in previous studies, overall as well as across the two main project management methodologies (traditional, agile). Differences in these rankings as well as mixed empirical support suggest that previous research may not have adequately theorized when particular CSFs will affect project success and lend support for the hypothesized contingency model between CSFs, project characteristics and project success criteria. , – This research is conceptual and meta-analytic in its focus. A crucial task for future research should be to test the contingency fit model developed using empirical data. There is no broad consensus among researchers and practitioners in categorizing CSFs for software development projects. However, through an extensive search and analysis of the literature on CSFs for software development projects, the research provides greater clarity on the categories of CSFs and how their direct, indirect and moderated effects on project success can be modelled. , – This study proposes a contingency fit model and contributes towards developing a theory for assessing the role of CSFs for project success. While future empirical testing of this conceptual model is essential, it provides an initial step for guiding quantitative data collection, specifies detailed empirical analysis for comparative studies, and is likely to improve clarity in debate. Since previous studies have not rigorously assessed the impact of fit between project characteristics, project environment and project management methodology on project success, additional empirically robust studies will help to clarify contradictory findings that have limited theory development for CSFs of software development projects to date. , – Previous research for software development projects has frequently not fully incorporated contingency as moderation or contingency as fit (traditional vs agile). This research sets out to develop fully a contingency fit perspective on software development project success, through contrasting traditional plan-driven and agile methodologies. To do this, the paper systematically identifies and ranks 37 CSFs for software projects from 148 journal publications and holistically categorizes them as organizational, team, customer and project factors.

Project Communication, Individual Commitment, Social Networks, and Perceived Project Performance

This research examines the role of project communication, individual commitment, and social networks in explaining perceived project performance. Despite the increased involvement of commercial banks in citizenship projects in Uganda, anecdotal evidence reveals that over 70% of citizenship projects fall short of the expected quality, fail to boost bank awareness, are cost overrun, and are completed behind schedule. Based on data from 121 citizenship projects conducted by 16 commercial banks in Uganda, findings revealed that project communication, individual commitment, and social networks are significant predictors of perceived project performance. This study has managerial implications, which are presented in this article.

The Influence of Contractual Governance Mechanisms, Buyer–Supplier Trust, and Supplier Opportunistic Behavior on Supplier Performance

This article explores the influence of contractual governance mechanisms, buyer–supplier trust, and supplier opportunistic behavior on Ugandas public sector supplier performance. Many outsourced contracts are reported to frequently fail to deliver on time, budget, specifications, and quality and do not deliver value to the public. This could be attributed to poor contractual governance mechanisms, lack of buyer–supplier trust, and high levels of supplier opportunistic behavior. A cross-sectional data set collected from 632 staff of Ugandas public sector is used to validate the theoretical model and hypotheses developed from literature review. Findings reveal that contractual governance mechanisms, buyer–supplier trust, and supplier opportunistic behavior are significant predictors of public sector supplier performance. The results also suggest that supplier opportunistic behavior has a stronger influence toward supplier performance than others. The implications for these findings for future research and practice are also discussed.

OUTSOURCED CONTRACTS, BUYER-SUPPLIER TRUST, SUPPLIER OPPORTUNISTIC BEHAVIOR AND SUPPLIER PERFORMANCE IN UGANDAN PUBLIC PROCURING AND DISPOSING ENTITIES (PDEs)

This study sought to examine the extent to which outsourced contracts, buyer-supplier trust and supplier opportunistic behavior explain supplier performance in Ugandan Public Procuring and Disposing Entities (PDEs). This study was prompted by reports of long lead times, failure to match specifications, late deliveries, poor quality of services delivered, contract violations, and increased supplier cheating. Cross sectional data from 116 central government PDEs concerning outsourced contracts was collected using a self-administered questionnaire. Hierarchical regression was used to indicate what happens to a model that was developed as part of this research as different predictor variables are introduced. The findings revealed that outsourced contracts, buyer-supplier trust, and supplier opportunistic behavior are significant predictors of supplier performance. The study has both managerial and policy implications which are discussed in this paper.

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

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 were 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.