Conceptual framework for implementation of knowledge sharing in global software development organizations

Anwar, Rayhab; Rehman, Mobashar; Wang, Khor Siak; Amin, Aamir; Akbar, Rehan

doi:10.1109/iscaie.2017.8074972

Cited by 7 publications

(5 citation statements)

References 31 publications

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“…Hence, based on our examination of various KT theories and models in the IT project context, SCT offers the theoretical foundations that support the interplay among personal factors, behavior, and the environment in establishing relationships (Sarkintudu et al, 2022). This theory recognizes human behavior as a dynamic interaction of individual elements (Personal factors), ethics, and the surrounding environment (Project organizational factors), as highlighted in Anwar et al's (2017) study. Personal factors encompass various cognitive and personality aspects that characterize an individual (Bandura, 1986;Carillo, 2015).…”

Section: Models and Theories In Kt And It Project Studiesmentioning

confidence: 99%

“…The focus was specifically on articles published between 2010 and 2023, ensuring that the study considers the most recent research in the field. The choice was determined based on the recognition that the IT project operates within a knowledge-intensive sector where constant advancements and innovations in technology are swiftly emerging (Anwar et al, 2017). To maintain a high level of quality, only publications from reputable journals indexed in Scopus or Web of Science were considered.…”

Section: Criteria For Inclusionmentioning

confidence: 99%

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Determinants of Knowledge Transfer for Information Technology Project Managers: A Systematic Literature Review

Bello,

Ahmad,

Mohd Nadzir

2023

IJIKM

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Aim/Purpose: The purpose of this study is to identify the key determinants hindering Knowledge Transfer (KT) practices for Information Technology Project Managers (ITPMs) Background: The failure rate of IT projects remains unacceptably high worldwide, and KT between project managers and team members has been recognized as a significant issue affecting project success. Therefore, this study tries to identify the determinants of KT within the context of IT projects for ITPMs. Methodology: A systematic review of the literature (SLR) was employed in the investigation. The SLR found 28 primary studies on KT for ITPMs that were published in Scopus and Web of Science databases between 2010 and 2023. Contribution: Social Cognitive Theory (SCT) was used to build a theoretical framework where the determinants were categorized into Personal factors, Environmental (Project organizational) factors, and other factors, such as Technological factors influencing ITPMs (Behavioral factors), to implement in KT practices. Findings: The review identified 11 key determinants categorized into three broad categories: Personal factors (i.e., motivation, absorptive capability, trust, time urgency), Project Organizational factors (i.e., team structure, leadership style, reward system, organizational culture, communication), and Technological factors (i.e., project task collaboration tool and IT infrastructure and support) that influence implementing KT for ITPMs Recommendations for Practitioners: The proposed framework in this paper can be used by project managers as a guide to adopt KT practices within their project organization. Recommendation for Researchers: The review showed that some determinants, such as Technological factors, have not been adequately explored in the existing KT model in the IT projects context and can be integrated with other relevant theories to understand how a project manager’s knowledge can be transferred and retained in the organization using technology in future research. Impact on Society: This study emphasizes the role of individual actions and project organizational and technological matters in shaping the efficacy of KT within project organizations. It offers insight that could steer business owners or executives within project organizations to closely observe the behavior of project managers, thereby securing successful project outcomes. Future Research: The determinant list provided in this paper is acquired from extensive SLR and, therefore, further research should aim to expand and deepen the investigation by validating these determinants from experts in the field of IT and project management. Future studies can also add other external technological determinants to provide a more comprehensive KT implementation framework. Similarly, this research does not include determinants identified directly from the industry, as it relies solely on determinants found in the existing literature. Although a comprehensive attempt has been made to encompass all relevant papers, there remains a potential for overlooking some research in this process.

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Section: Models and Theories In Kt And It Project Studiesmentioning

confidence: 99%

Section: Criteria For Inclusionmentioning

confidence: 99%

Determinants of Knowledge Transfer for Information Technology Project Managers: A Systematic Literature Review

Bello,

Ahmad,

Mohd Nadzir

2023

IJIKM

View full text Add to dashboard Cite

show abstract

“…Although previous research has given attention to knowledge sharing concerning software engineering activities [22], [23], [24], [25], however, knowledge sharing in the context of MCR has not got much attention from the researchers [8], [9], [11], [20], [21]. No, systematize investigations are available concerning the knowledge sharing aspect in MCR that can help in minimizing waiting waste.…”

Section: Introductionmentioning

confidence: 99%

“…Though preceding studies [22], [23], [24], [25] focused on knowledge sharing in software engineering activities, however, slight indication is available in MCR [8], [9], [11], [20], [21], resulting in absence of knowledge sharing guidelines in MCR. Therefore, the study aims to identify factors influencing knowledge sharing in MCR to minimize waiting waste.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste

Fatima¹,

Nazir²,

Chuprat³

2020

IJACSA

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Software engineering activities, for instance, Modern Code Review (MCR) produce quality software by identifying the defects from the code. It involves social coding and provides ample opportunities to share knowledge among MCR team members. However, the MCR team is confronted with the issue of waiting waste due to poor knowledge sharing among MCR team members. As a result, it delays the project delays and increases mental distress. To minimize the waiting waste, this study aims to identify knowledge sharing factors that impact knowledge sharing in MCR. The methodology employed for this study is a systematic literature review to identify knowledge sharing factors, data coding with continual comparison and memoing techniques of grounded theory to produce a unique and categorized list of factors influencing knowledge sharing. The identified factors were then assessed through expert panel for its naming, expressions, and categorization. The study finding reported 22 factors grouped into 5 broad categories i.e. Individual, Team, Social, Facility conditions, and Artifact. The study is useful for researchers to extend the research and for the MCR team to consider these factors to enhance knowledge sharing and to minimize waiting waste.

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“…Even though the existing research has paid attention to knowledge sharing concerning software engineering activities [21], [22], [23] however, knowledge sharing in the context of MCR warrants attention from the researchers [9], [10], [12], [24], regarding explorations of knowledge sharing factors for MCR activities [25]. No, schematized inquiries are available about that knowledge sharing facet concerning MCR to decrease waiting waste.…”

Section: Introductionmentioning

confidence: 99%

Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste

Fatima¹,

Nazir²,

Chuprat³

2020

IJACSA

View full text Add to dashboard Cite

Modern Code Review (MCR) is a quality assurance technique that involves massive interactions between team members of MCR. Presently team members of MCR are confronting with the problem of waiting waste production, which results in their psychological distress and project delays. Therefore, the MCR team needs to have effective knowledge sharing during MCR activities, to avoid the circumstances that lead the team members to the waiting state. The objective of this study is to develop the knowledge sharing framework for MCR team to reduce waiting waste. The research methodology used for this study is the Delphi survey. The conducted Delphi survey intended to produce the finalized list of knowledge sharing factors and to recognize and prioritize the most influencing knowledge sharing factor for MCR activities. The study results reported 22 knowledge sharing factors, 135 sub-factor, and 5 categories. Grounded on the results of the Delphi survey the knowledge sharing framework for MCR has been developed. The study is beneficial for software engineering researchers to outspread the research. It can also help the MCR team members to consider the designed framework to increase knowledge sharing and diminish waiting waste.

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Conceptual framework for implementation of knowledge sharing in global software development organizations

Cited by 7 publications

References 31 publications

Determinants of Knowledge Transfer for Information Technology Project Managers: A Systematic Literature Review

Determinants of Knowledge Transfer for Information Technology Project Managers: A Systematic Literature Review

Knowledge Sharing Factors for Modern Code Review to Minimize Software Engineering Waste

Knowledge Sharing Framework for Modern Code Review to Diminish Software Engineering Waste

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