Hisham Idrees, Jin Xu and Syed Arslan Haider
The purpose of this study is to examine knowledge management (KM) infrastructure and processes on automobile manufacturing firm innovative performance through the mediating role…
Abstract
Purpose
The purpose of this study is to examine knowledge management (KM) infrastructure and processes on automobile manufacturing firm innovative performance through the mediating role of agile project management (APM) practice.
Design/methodology/approach
The data collection involved purposive and convenience sampling techniques to gather information from 692 employees employed in various public and private automobile manufacturing firms operating in Pakistan. To test the hypothesis, data analysis was conducted using Smart PLS software version 4, using the partial least squares and structural equation modeling technique.
Findings
The result revealed that knowledge management infrastructure and processes has a positive and significant effect on firm innovative performance. Moreover, agile project management practices positively and significantly mediate the relationship between knowledge management infrastructure and processes and firm innovative performance.
Practical implications
The performance of high-tech automobile manufacturing firms can be enhanced by implementing agile project management practices, especially when stimulated by external factors such as innovation. In an increasingly dynamic environment, innovation acts as a favorable factor that amplifies the positive impact of agile methodologies on firm performance.
Originality/value
Researchers can use these findings to identify knowledge gaps that need to be addressed in future studies and understand how strategies relate to processes within the KM-APM framework. This study provides practitioners with insights on applying KM practices in an APM context to enhance knowledge performance. Practitioners can use the framework to plan KM activities that support corporate strategy across all organizational layers, ensuring the appropriate knowledge is conveyed at each level.
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Aashi Rawal, Shailesh Rastogi, Jagjeevan Kanoujiya and Venkata Mrudula Bhimavarapu
The authors have attempted to reveal the impact that transparency and disclosure (T&D) and financial distress (FD) have on the valuation of banks working in India. T&D involves…
Abstract
Purpose
The authors have attempted to reveal the impact that transparency and disclosure (T&D) and financial distress (FD) have on the valuation of banks working in India. T&D involves disclosing the firm's operational and financial performance and corporate governance practices. FD is a position in which a company or individual is not in a condition to fulfill their promise of paying their obligations on time.
Design/methodology/approach
In this study, the authors have used panel data analysis (PDA) and secondary data of 34 banks working in the Indian banking sector for four financial years, i.e. 2016 to 2019.
Findings
This study has established that FD and T&D have a positive and significant impact on the valuation of firms. The authors also find evidence that T&D significantly impacts the value of firms under the influence of FD.
Practical implications
The present study implies that it will help firms realize how significantly the transparency level and disclosure policies impact their value in the market. Firms can understand how badly distressing situations can impact the company's whole image. This learning will encourage them to start managing their money and debts efficiently.
Originality/value
The authors study has considered T&D as an independent variable and FD as a moderating variable to find the interacting impact of T&D and FD on the valuation of banks working in India. No such study has come to the authors' knowledge that has established such a relationship of variables in the study.
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Bingfeng Bai, Ki-Hyun Um and Hanna Lee
This study aims to (1) investigate the influence of firms’ social media utilization on performance through supply chain agility, (2) examine the mediating role of supply chain…
Abstract
Purpose
This study aims to (1) investigate the influence of firms’ social media utilization on performance through supply chain agility, (2) examine the mediating role of supply chain agility and (3) explore the indirect effect of social media utilization on operational performance via supply chain agility as knowledge transfer increases.
Design/methodology/approach
A survey of 298 Chinese manufacturing firms was conducted to assess the proposed relationships, employing moderated mediation analysis with Andrew Hayes (2017) PROCESS macro.
Findings
Social media utilization indirectly enhances operational performance through supply chain agility, supporting our mediation hypothesis (H1). Additionally, knowledge transfer moderates the positive impact of social media utilization on supply chain agility (H2). The moderated mediation analysis reveals that the mediating effect of supply chain agility on operational performance is stronger at higher levels of knowledge transfer (H3), shedding light on the intricate relationships between these variables and providing insights for businesses seeking to leverage social media and knowledge transfer to enhance supply chain resilience and operational performance.
Originality/value
This study empirically investigates the role of social media utilization in supply chains within the digital age. We explore how social media enhances supply chain agility and knowledge transfer, highlighting its transformative potential for real-time communication, responsiveness and collaboration across networks. By integrating dynamic capability theory with contemporary digital practices, we demonstrate how leveraging digital platforms alongside traditional supply chain processes can significantly improve manufacturing efficiency. This research bridges existing gaps in the literature and provides valuable insights for businesses navigating complex, rapidly changing environments in the era of digital transformation.
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Shahirah Abu Bakar, Ioan Pop and Norihan Md Arifin
This paper aims to explore dual solutions for the flow of a hybrid nanofluid over a permeable melting stretching/shrinking sheet with nanoparticle shape factor, second-order…
Abstract
Purpose
This paper aims to explore dual solutions for the flow of a hybrid nanofluid over a permeable melting stretching/shrinking sheet with nanoparticle shape factor, second-order velocity slip conditions and viscous dissipation. The hybrid nanofluid is formulated by dispersing alumina (Al2O3) and copper (Cu) nanoparticles into water (H2O).
Design/methodology/approach
The governing partial differential equations (PDEs) are first reduced to a system of ordinary differential equations (ODEs) using a mathematical method of similarity transformation technique. These ODEs are then numerically solved through MATLAB’s bvp4c solver.
Findings
Key parameters such as slip parameter, melting parameter, suction parameter, shrinking parameter and Eckert number are examined. The results reveal the existence of two distinct solutions (upper and lower branches) for the transformed ODEs when considering the shrinking parameter. Increasing value of Cu-volume fraction and the second-order velocity slip enhances boundary layer thicknesses, whereas the heat transfer rate diminishes with rising melting and suction parameters. These numerical results are illustrated through various figures and tables. Additionally, a stability analysis is performed and confirms the upper branch is stable and practical, while the lower branch is unstable.
Practical implications
The analysis of hybrid nanofluid flow over a shrinking surface has practical significance with applications in processes such as solar thermal management systems, automotive cooling systems, sedimentation, microelectronic cooling or centrifugal separation of particles. Both steady and unsteady hybrid nanofluid flows are relevant in these contexts.
Originality/value
While the study of hybrid nanofluid flow is well-documented, research focusing on the shrinking flow case with specific parameters in our study is still relatively scarce. This paper contributes to obtaining dual solutions specifically for the shrinking case, which has been less frequently addressed.