The effect of process tailoring on software project performance: The role of team absorptive capacity and its knowledge‐based enablers

2020 ◽  
Vol 31 (1) ◽  
pp. 120-147
Author(s):  
Jung‐Chieh Lee ◽  
I‐Chia Chou ◽  
Chung‐Yang Chen
2021 ◽  
Vol 9 (2) ◽  
pp. 456-471
Author(s):  
Dilek Erdoğan ◽  
Tuğba Gürçaylılar Yenidoğan

Based on the information processing perspective, this study empirically investigated the effects of requirements analyzability, an indicator of technological complexity and interpersonal trust as the soft factor of buyer-supplier relationships on software project development performance. Beyond that, the possible moderator role of the degree of software customization was examined on the analyzability-interpersonal trust and analyzability-performance links. Data were collected from 138 companies through a questionnaire-based survey of IT purchasing managers in Turkey. Partial Least Squares Structural Equation Modeling was used to test the research hypotheses. This study indicated that requirements analyzability and interpersonal trust have a significant effect on software performance. Overall, the study provides evidence that interpersonal trust mediates the relationship between requirements analyzability and software project performance. The research findings support the moderation role of customization in the relationship between requirements analyzability and software project performance. However, partial support is provided for the moderating effect of customization on the relationship between requirements analyzability and interpersonal trust.


2018 ◽  
Vol 22 (2) ◽  
pp. 453-477 ◽  
Author(s):  
Imran Ali ◽  
Ata Ul Musawir ◽  
Murad Ali

Purpose This study aims to propose an integrated model to examine the impact of knowledge governance, knowledge sharing and absorptive capacity (ACAP) on project performance in the context of project-based organizations (PBOs). This study also examines the moderating role of social processes on the relationships among these variables. Design/methodology/approach To test the proposed model, cross-sectional data were collected regarding projects from 133 PBOs in Pakistan’s information technology/software industry. The data were analyzed using the partial least squares – structural equation modeling (PLS-SEM) method and PRCOESS tool. Finally, this study also uses causal asymmetry analysis to check asymmetric relationship in the key constructs. Findings The results generally support the proposed model. Knowledge governance and knowledge sharing are important antecedents for improving the ACAP of the project, which in turn significantly improves project performance. Additionally, social processes positively moderate the relationship between knowledge sharing and ACAP, as well as between ACAP and project performance. Research limitations/implications The findings suggest that PBOs should invest in developing a knowledge governance system that guides and stimulates knowledge sharing within and between projects. This would boost the ACAP of projects and lead to superior project performance. Originality/value This study addresses the important issue of knowledge management in IT/software projects. It proposes a unique model that integrates the key constructs of knowledge management and describes their effect on project performance.


Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.


2009 ◽  
pp. 2247-2261
Author(s):  
James Jiang ◽  
Gary Klein ◽  
Phil Beck ◽  
Eric T.G. Wang

To improve the performance of software projects, a number of practices are encouraged that serve to control certain risks in the development process, including a lack of essential skills and knowledge related to the application domain and system development process. A potential mediating variable between the lack of skill risk and project performance is the ability of an organization to acquire the essential domain knowledge and technology skills through learning, specifically organizational technology learning. However, the same lack of knowledge that hinders good project performance may also inhibit learning. This study examines the relationship between information system personnel skills and domain knowledge, organizational technology learning, and software project performance with a sample of professional software developers. Indications are that the relationship between information systems (IS) personnel skills and project performance is partially mediated by organizational technology learning.


2017 ◽  
Vol 23 (2) ◽  
pp. 92-105 ◽  
Author(s):  
Shradha Padhi ◽  
Sumita Mishra

For successful project outcomes to organizations and clients alike, project managers (PMs) need to make ethical decisions and yet balance the interests of all stakeholders involved. Hence, honest communication among project stakeholders is essential as a countermeasure to this paradox. Honesty is one of the core ethical values propagated by the Project Management Institute (PMI), USA. Our study aimed to gain an endogenous perspective on honesty vis-à-vis its reification by PMI in its effect on software project performance. Empirical data were collected through in-depth interviews from 83 Indian PMs in one of the prominent Indian software consulting organizations. Grounded theory was utilized to analyze the data obtained. Our results validate the importance of honesty on software project performance, the need for trust among stakeholders in maintaining honesty, importance of Indian culture in understanding honesty and ensuing ethical challenges faced by PMs. Our results bear implications to extant research on honesty in projects with specific reference to the Indian software context. They are important for PMI professionals as they provide a culture-specific perspective to honesty and the scope for ideation on how to inculcate and sustain honesty in project management in India.


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