Investigation of Knowledge Sharing Behavior in Global Software Development Organizations Using Social Cognitive Theory

Anwar, Rayhab; Rehman, Mobashar; Wang, Khor Siak; Hashmani, Manzoor Ahmed; Shamim, Amjad

doi:10.1109/access.2019.2912657

Cited by 17 publications

(39 citation statements)

References 71 publications

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“…The literature has indicated that the behavioral, personal, and environmental factors of SCT constantly influence each other (C. P. Lin, 2010). However, most studies used individual behavior as the dependent variable (Anwar et al, 2019;Bosu et al, 2019;Carillo, 2010).…”

Section: Conceptual Framework Constructionmentioning

confidence: 99%

Predicting Key Predictors of Project Desertion in Blockchain: Experts’ Verification Using One-Sample T-Test

SarkinTudu

Wahab

Ibrahim

2022

IJIKM

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Aim/Purpose: The aim of this study was to identify the critical predictors affecting project desertion in Blockchain projects. Background: Blockchain is one of the innovations that disrupt a broad range of industries and has attracted the interest of software developers. However, despite being an open-source software (OSS) project, the maintenance of the project ultimately relies on small core developers, and it is still uncertain whether the technology will continue to attract a sufficient number of developers. Methodology: The study utilized a systematic literature review (SLR) and an expert review method. The SLR identified 21 primary studies related to project desertion published in Scopus databases from the year 2010 to 2020. Then, Blockchain experts were asked to rank the importance of the identified predictors of project desertion in Blockchain. Contribution: A theoretical framework was constructed based on Social Cognitive Theory (SCT) constructs; personal, behavior, and environmental predictors and related theories. Findings: The findings indicate that the 12 predictors affecting Blockchain project desertion identified through SLR were important and significant. Recommendations for Practitioners: The framework proposed in this paper can be used by the Blockchain development community as a basis to identify developers who might have the tendency to abandon a Blockchain project. Recommendation for Researchers: The results show that some predictors, such as code testing tasks, contributed code decoupling, system integration and expert heterogeneity that are not covered in the existing developer turnover models can be integrated into future research efforts. Impact on Society: This study highlights how an individual’s design choices could determine the success or failure of IS projects. It could direct Blockchain crypto-currency investors and cyber-security managers to pay attention to the developer’s behavior while ensuring secure investments, especially for crypto-currencies projects. Future Research: Future research may employ additional methods, such as a meta-analysis, to provide a comprehensive picture of the main predictors that can predict project desertion in Blockchain.

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Section: Conceptual Framework Constructionmentioning

confidence: 99%

Predicting Key Predictors of Project Desertion in Blockchain: Experts’ Verification Using One-Sample T-Test

SarkinTudu

Wahab

Ibrahim

2022

IJIKM

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“…This is an abstraction from the exact research methodology as adopted from the work of Wieringa et al [54]. The research categories identified in the selected articles are presented in Figure 4 with the following frequency distribution; validation (11), solution proposal (21), philosophical papers (12), personal experience (7), opinion papers (5) and evaluation (21). Figure 5 presents the frequency distribution of the research methods identified in the primary studies selected for this SMS.…”

Section: A General Datamentioning

confidence: 99%

“…Figure 5 presents the frequency distribution of the research methods identified in the primary studies selected for this SMS. The results show case studies (22), descriptive studies (21), surveys (17), grounded theory (7), experiments (3), and exploratory studies (2). The rest included conceptual analysis, design science, ethnography, observations, meansend analysis, and mapping method, each with one publication.…”

Section: A General Datamentioning

confidence: 99%

“…The companies have adapted to the rapid development of cheaper software products [20] to meet the market's volatile demand, which has affected the quality of the products. Notably, SSCs play an essential role in the global economy [21] because of their ability to capture the markets that larger companies are incapable of reaching or could have rejected [4]. However, it is paramount that efficient software development processes [4] are used for the SSCs to attain a competitive advantage.…”

Section: Introductionmentioning

confidence: 99%

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Software Engineering in Small Software Companies: Consolidating and Integrating Empirical Literature Into a Process Tool Adoption Framework

Tuape¹,

Hasheela-Mufeti

Kayanda

et al. 2021

IEEE Access

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Small software companies face numerous challenges of complexity, unstructured software development processes and scarce resources. This notwithstanding, the companies have dominated the software market by 80 percent. The practice and products of these companies are still persistently marred by quality issues arising from the processes, with evidence indicating that process tools do not fit the unique contexts in which they operate. Significant strides have been made in transforming software development practice; however, the challenges are still evidently apparent. Hence the need to establish how knowledge areas are applied in process practice, understand the context of software development and its implication in practice, how process tools are utilised in practice and evaluate quality of research in software literature The researchers undertook a systematic mapping study to determine the state of practice in empirical literature on software engineering of SSCs by examining and classifying 1096 publications. Other than the finding that research quality was low and affecting generalisation and transferability, the results also revealed interesting findings which we finally consolidated and integrated to develop two contributions (i) a software development process adoption theoretical framework which provides new insights of understanding software development and (ii) a 3-point guideline for research quality.

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“…An IPS in education can solve many kinds of exercises from basic to advanced kinds in the course. It has to satisfy these requirements [4], [6], [36], [48]:…”

Section: Introductionmentioning

confidence: 99%

A Method for Knowledge Representation to Design Intelligent Problems Solver in Mathematics Based on Rela-Ops Model

et al. 2020

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Knowledge-base is a fundamental platform in the architecture of an intelligent system. Relations and operators are popular knowledge in practice knowledge domains. In this paper, we propose a method to represent the model by combining these kinds of knowledge, called the Rela-Ops model. This model includes foundation components consisting of concepts, relations, operators, and inference rules. It is built based on ontology and object-oriented approaches. Besides the structure, each concept of the Rela-Ops model is a class of objects which also have behaviors to solve problems on their own. The processing of algorithms for solving problems on the Rela-Ops model combines the knowledge of relations and operators in the reasoning. Furthermore, we also propose a knowledge model for multiple knowledge domains, in which each sub-domain has the form as the Rela-Ops model. These representation methods have been applied to build knowledge bases of Intelligent Problems Solver (IPS) in mathematics. The knowledge base of 2D-Analytical Geometry in a high-school is built by using the Rela-Ops model, and the knowledge base of Linear Algebra in university is designed by using the model for multiple knowledge domains. The IPS system can automatically solve basic and advanced exercises in respective courses. The reasoning of their solutions is done in a step-by-step approach. It is similar to the solving method by humans. The solutions are also pedagogical and suitable for the learner's level and easy to be used by students studying 2D-Analytical Geometry in high-school and Linear Algebra in university. INDEX TERMS Knowledge representation, knowledge-based systems, intelligent problem-solver, knowledge engineering.

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Investigation of Knowledge Sharing Behavior in Global Software Development Organizations Using Social Cognitive Theory

Cited by 17 publications

References 71 publications

Predicting Key Predictors of Project Desertion in Blockchain: Experts’ Verification Using One-Sample T-Test

Predicting Key Predictors of Project Desertion in Blockchain: Experts’ Verification Using One-Sample T-Test

Software Engineering in Small Software Companies: Consolidating and Integrating Empirical Literature Into a Process Tool Adoption Framework

A Method for Knowledge Representation to Design Intelligent Problems Solver in Mathematics Based on Rela-Ops Model

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