Knowledge management enablers and barriers: exploring the moderating effect of communication barriers

Alves, Josivan Leite; Nadae, Jeniffer de; Carvalho, Marly Monteiro de

doi:10.1108/ijmpb-02-2022-0047

Cited by 6 publications

(4 citation statements)

References 118 publications

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“…Multiple regression is the most appropriate method of data analysis in the context of research hypotheses investigating associations among variables and the strength of such associations (Hair et al, 2014). Structural equation modeling (SEM) is an effective method of multiple regression for validation and exploration research issues (Alves et al, 2022). Therefore, SEM is used in this study to validate the research hypotheses proposed in this study.…”

Section: Methodsmentioning

confidence: 99%

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The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

Li,

Deng

2024

IJMPB

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PurposeAntagonistic relationship among the participants of construction projects has significantly improved, and further improving cooperation quality are committed. In this context, expanding new ways to improve cooperation quality has become a new topic in cooperation research. This study is dedicated to exploring the mechanism of cross-organizational private relationships on cooperative behaviors, which is rarely addressed in current research on construction projects, and provides reference for the rational use of cross-organizational private relationships.Design/methodology/approachBased on analysis of studies related to relational governance theory, institutional theory and project complexity, this study constructs the theoretical model. This study uses survey data from 395 construction professionals in China to test the theoretical model by using structural equation modeling (SEM) and explains the direct and indirect mechanism of cross-organizational private relationships on cooperation behavior.Findings(1) Cross-organizational private relationships have direct and indirect facilitating effect on cooperation behavior. (2) Relational norms as mediating variables contribute to the expansion of the positive effects of cross-organizational private relationships on cooperation behavior. (3) Institutional environment and project complexity have the moderating effect between cross-organizational private relationships and cooperation behavior.Originality/valueThis research investigates the impact mechanisms and boundary conditions of cross-organizational private relationships at the micro level on the cooperative behaviors in construction projects and conducts empirical research. It is a topic that has not been adequately researched in the field of project management. The research results expand the scope of research on relational governance and deepen the research on the antecedents of relational norms. It provides the base for the proposed contingency theory of relational governance.

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Section: Methodsmentioning

confidence: 99%

“…, 2014). Structural equation modeling (SEM) is an effective method of multiple regression for validation and exploration research issues (Alves et al ., 2022). Therefore, SEM is used in this study to validate the research hypotheses proposed in this study.…”

Section: Methodsmentioning

confidence: 99%

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

Li,

Deng

2024

IJMPB

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“…KS improves work and decision-making, creating value, and knowledge sharing helps team members comprehend project needs, improving project success (Marinho and Couto, 2022). In organizations with divisions and communication barriers, knowledge sharing can be uncommon and enhance the project's success (Alves et al, 2022). Organizations can differentiate themselves from competitors and generate a competitive advantage by actively promoting knowledge exchange to improve the project's successful performance (Horng et al, 2022).…”

Section: The Mediating Role Of Knowledge Sharingmentioning

confidence: 99%

Impact of big data analytics in project success: Mediating role of intellectual capital and knowledge sharing

Norena-Chavez,

Thalassinos

2023

J. Infras. Policy. Dev.

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Purpose: This study empirically investigates the effect of big data analytics (BDA) on project success (PS). Additionally, in this study, the investigation includes an examination of how intellectual capital (IC) and (KS) act as mediators in the correlation between BDA and KS. Lastly, a connection between entrepreneurial leadership (EL) and BDA is also explored. Design/Methodology- Using a sample of 422 senior-level employees from the IT sector in Peru. The partial least squares structural equation modeling technique tested the hypothesized relationships. Findings- According to the findings, the relationship between BDA and PS is mediated by structural capital (SC) and relational capital (RC), and BDA demonstrates a positive and noteworthy correlation with PS. Furthermore, EL is positively associated with BDA in a significant manner. Practical implications- The finding of this study reinforce the corporate experience of BDA and suggest how senior levels of the IT sector can promote SC, RC, and EL. Originality/Value- This study is one of the first to consider big data analytics as an important antecedent of project success. With little or no research on the interrelationship of big data analytics, intellectual capital and knowledge sharing the study contributes by investigating the mediating role of intellectual capital and knowledge sharing on the relationship between big data analytics and project success.

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“…Projects are used as tools to support organizations in strategic restructuring due to changes in the market (Alves et al, 2022). Several studies indicate that project success is closely related to project management proficiency (Pacheco, 2018).…”

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confidence: 99%

Project management as a value creator agent of innovation and business ecosystems

Do Amaral,

Alves,

Berssaneti

et al. 2024

GeP

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This study introduces a structural model that examines the intricate correlation between innovation and business ecosystems, with a special emphasis on the role of project management as a pivotal integration factor. Furthermore, we propose an exploration of how this model aligns with the life cycle of products, services, or outcomes. In this research, we employ a hybrid methodology that seamlessly combines content and network analysis, bibliometrics, and statistical techniques to provide theoretical underpinnings for our correlation model. Our investigation reveals a robust correlation between the nature of a given ecosystem and the interconnections that companies within it establish. Furthermore, we demonstrate that the overall health and vitality of an ecosystem are closely linked to its specific type. We acknowledge that certain limitations within this study stem from the methodological choices made by our research team. This research underscores several practical advantages, including the potential for value creation through the development of novel products and services, as well as the enhancement of existing projects, all while minimizing waste and optimizing profitability. However, it should be noted that one limitation of our study is the absence of real-world application of the framework to validate our theoretical-conceptual construct. The concept of Innovation Ecosystems continues to garner significant attention among practitioners, academics, and businesses alike, offering a promising avenue for the rapid and flexible development of innovative solutions within existing markets.

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Knowledge management enablers and barriers: exploring the moderating effect of communication barriers

Cited by 6 publications

References 118 publications

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

The impact of cross-organizational private relationships on cooperative behavior in construction projects: evidence from Chinese construction industry

Impact of big data analytics in project success: Mediating role of intellectual capital and knowledge sharing

Project management as a value creator agent of innovation and business ecosystems

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