Search results

This study examines the relationship between higher education improvement and tacit knowledge importance. In this context, the scarcity of empirical and theoretical studies on acquiring tacit knowledge to enhance academic performance in higher education suggests that this research area holds significant importance for experts and policymakers. Consequently, this study aims to explore the factors that influence academic research performance at Chinese universities by acquiring tacit knowledge.

To achieve the study aims, the current approach utilizes the research technique based on the socialization, externalization, internalization and combination (SECI) model and knowledge management (KM) theory. To analyze the study objective, the authors collected data from post-graduate students at Chinese universities and analyzed it using structural equation modeling (SEM) to test the model and hypotheses.

The results indicated that social interaction, internalization and self-motivation have a positive impact on academic research performance through the acquisition of tacit knowledge. Furthermore, the findings suggest that academic researchers can acquire more knowledge through social interaction than self-motivation, thereby advancing research progress.

This study addresses the critical issues surrounding the acquisition of tacit knowledge and presents a comprehensive framework and achievements that can contribute to achieving exceptional academic performance.

Creativity and productivity are important factors for corporate and government institutions in the COVID-19 era. As a result, there is an urgent need to ensure that construction projects can recover adequately to survive potential surges or even potential epidemics. Therefore, this study aims to explore social capital by examining the effect/impact of knowledge creation on construction performance in the COVID-19 era.

A simple random sampling approach focused on Ghanaian construction firms was used. Completed responses were obtained and analyzed from employees who had tasks on sites. SmartPLS 3.3.3 and Statistical Package for Social Sciences v. 26 was used.

One key finding from this research was that construction firms with solid social capital built by their management staff are more connected and have better adaptive systems than firms with low capital. A company’s development programs must concentrate not only on the development of targeted or selective know-how and professional abilities but also on capacity creating, collaboration and knowledge creation and sharing among its employees.

Using this study’s findings, construction professionals can develop successful solutions to the COVID-19 epidemic and future emergencies. Additionally, the comprehensive exposition of the implications, constraints and preventive methods in this study may enable scholars to discover current gaps in the literature and investigate other elements of the pandemic’s influence on the construction industry.

Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.

The effective and efficient implementation of daily work activities necessitates tacit knowledge sharing, boosting firm productivity. However, the link between tacit knowledge sharing within a company and its effects on organizational performance is unclear, so the purpose of this study is to examine the impact of sharing tacit knowledge on the success of a company.

Construction managers and senior managers were the study’s target participants. The correlation matrix was used to assess the significant correlation between study frameworks and the statistical approach of multiple regression was also used to test the hypotheses using statistical package for social sciences (SPSS) v.26.

The findings suggest that companies will be more willing and capable of making decisions based on experience when knowledge systems are used successfully. Furthermore, new organizational knowledge and particular evaluation procedures, such as anxiety and conflict resolution preparation, personal relationship and training improvement, mediation and task clarity, are explained, which can aid in success.

The study contributes to construction companies’ perception of knowledge sharing and recommends organizations to build capacity to encourage, improve engagement and review to maintain the dissemination of knowledge.

The study aims to explore the impact of tacit knowledge sharing (TKS) factors and its consequences in the form of technological innovation capabilities (TICs) within Pakistani software small–medium enterprises (SSMEs).

Drawing upon the social exchange theory (SET), the study used a quantitative approach and structural equation modeling (SEM) to test hypotheses with 220 valid data collected from 23 Pakistani software SSMEs.

The peer influence (PI) has positive and significant effect on collaborative culture (CC), willingness to share tacit knowledge (WSTK) and TICs. Organizational trust (OT) has a positive and significant impact on CC and TIC. Whereas, CC possessed positive and significant effect on WSTK and insignificant on TIC. Furthermore, WSTK has positive and significant effect on TIC. Finally, WSTK partially mediates the relationship between PI and TIC whereas WSTK fully mediates the relationship between CC and TIC.

The study enriches the research on knowledge sharing and TIC. This research investigates the precursors of tacit knowledge-sharing willingness and their consequences in software SMEs; future studies need to examine tacit knowledge-seeking willingness and its consequences not only in software enterprises but also in other industrial sectors. Besides, it needs to evaluate types of innovative capabilities in software SMEs.

The study suggested that the practitioners need to strengthen TKS in the form employees’ updated skills and expertise which ultimately fosters software enterprise’s innovative capabilities to attain competitive advantages in a specific industry.

This research is one of the few studies to examine the potential antecedents of WSTK and their final effects within software SMEs in the form of TICs. As currently it is observed, an incredible increase of skills oriented innovations in firms particularly in the software domain and IT industry. Therefore, this study emphasizes how PI, OT and WSTK positively affect TIC of Pakistani software SMEs. However, the study could be considered as a guideline for the academia and practitioners who attempt to strengthen the technological innovations capabilities in software SMEs.