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The purpose of this paper is to highlight the Western roots of the gap between practice and theory in HRM to underline the relevance of a flexible HR support. This support deserves to be nurtured by an insightful consideration of traditional Chinese thought, especially “vital nourishments” and “non-action.”

Following the methodology of deconstruction provided by French Sinologist and Philosopher François Jullien, this paper brings forward the implicit tenets of Western thought that feed HRD. The work of deconstruction relies here on an “heterotopia” (which literally means “a thought coming from elsewhere”) while making use of the founding tenets of traditional Chinese thought.

A flexible support, echoing some existing practices of coaching, mentoring and other developmental interactions, acts as an efficient and natural “non-active” development of HR especially relevant when facing stress at work.

If it is worth recalling the already existing bridges between theory and practice in HRM, it is also important to imagine new ones favorable to HRD.

The paper provides a critical reference for managers in charge of HRD.

The paper provides a critical reference for academics who wish to be more scholarly engaged in supporting executives and managers.

The paper challenges the Western ethnocentric reading of management in order to welcome another millenary way of thinking built in China. It escapes the fundamentals of managerial thought which have durably ruled over Western management studies.

This paper examined the deterministic and moderating impacts of skill on the behavioural (benevolence) and cognitive (credibility) dimensions of trust within small-to-medium-sized enterprises (SMEs) upstream (i.e. supplier-to-customer) relationships. A theoretically grounded research model was developed that comprised of three cognitive and three behavioural antecedents of benevolence and credibility. Impact of time (i.e. chronological influences) on skill-driven bi-dimensional trust development was assessed as well.

All measures were borrowed from top ranking journals and adapted for use. An online questionnaire-based survey was conducted with UK SMEs executives who were involved in electrical and electronic components industry. A total of 231 useable questionnaires were received which represented a response rate of 15.4%. After validity and reliability checks, the collected data were subjected to partial least square analysis to verify the deterministic and/or moderating impact of skill on bi-dimensional trust.

The results supported a dual role (a moderator and a determinant) of skill on SMEs upstream relationship trust. However, the moderating effect of skill dominated the deterministic effect. Furthermore, the results indicated that skill tends to behave differently toward cognitive and behavioural dimensions of trust. Hence, how skill development is influenced by different dimensions of trust, and the role time plays in skill-driven trust enhancement should be carefully considered in SME upstream relationships. Therefore, it is suggested that the nature and context of each supplier–customer relational episode should be examined in terms of the outcomes it is designed to achieve in a relationship.

This study evaluated an in-depth association between skill and bi-dimensional trust development within SME upstream relationships. Specifically, deterministic and moderating impacts of skill on credibility and benevolence were investigated.

The purpose of this study is to identify the impact of intellectual capital on the innovation performance of the Jordanian banking sector and identify the moderating role of big data analytics.

For this study's purposes, 333 questionnaires were analysed. Convergent validity, discriminant validity and reliability tests were performed through structural equation modelling (SEM) in the Smart-PLS program. A bootstrapping technique was used to analyse the data.

Empirical results showed that each of the components of intellectual capital and big data analytics explains 63.5% of the variance in innovation performance and that all components of intellectual capital have a statistically significant impact on innovation performance. The results also revealed that the relationship between structural capital and innovation performance is moderated through big data analytics.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results, and the results are limited to one country.

This study promotes the idea of focusing on components of intellectual capital to enhance innovation performance in the Jordanian banking sector and knowing the effect of big data analytics in this relationship.

This study makes recommendations for financial policymakers to improve the effectiveness of intellectual capital practices and innovation performance in the context of big data analytics.

This study has important implications for leaders in the Jordanian banking sector, in general, as the study highlights the importance of intellectual capital to enhance the innovation performance, especially in light of the big data analytics in this sector, and thus increase the innovative capabilities of this banks, which leads to an increase in the level of innovation.

Although the governance and management of networks are deeply intertwined, there is a lack of empirical studies on how strategic networks (SNs) configure both realities for higher performance. This paper aims to analyze the array of governance and management sets adopted by high-performing SNs.

The authors bridge the research gap by using qualitative comparative analysis on the governance (decision-making process, formalization, specialization, incentives and control) and management (strategy, structure, processes and leadership) dimensions of 73 Brazilian SNs.

The authors found that high-performing SNs adopt one of two governance/management configurations. “Piloted SNs” rely on specialized working teams, have structured decision-making processes and avoid using incentives. Conversely, “atomized SNs” run on incentives and control while eschewing specialization and rigid decision-making procedures. The authors also found that both configurations adopt formal procedures and leverage all four management dimensions.

The study’s results offer pathways for SNs to increase their performance and attract new members, as well as insights into the theory of SN governance.

The purpose of this paper is to analyze the relationship between housing markets and new firm formation in six different industries in all 284 municipalities in Sweden.

The authors have used data from Statistics Sweden and The Swedish Agency for Economic and Regional Growth to develop a model to analyze the relationship between house prices and industry-specific new firm formation, with the interaction effect of financial infrastructure.

In the data, stable high house prices have no effect on entrepreneurship. However, a market with rising house prices has a positive effect on new firm formation, in retail, construction, business-to-business services and miscellaneous sectors, but produced no effect in either mining, agriculture and fishing or in manufacturing. The interaction between rising house prices and financial infrastructure does not change the positive effect on retail, business-to-business services and miscellaneous sectors, but within the construction industry, the positive effect on new firm formation disappears. In manufacturing, the authors observe the opposite – a positive effect, instead of no effect previously.

The contribution of this study is to provide evidence of how house prices are associated with entrepreneurship in different industries, as well as analyzing how the interaction between house prices and financial infrastructure is associated with entrepreneurship. By separating observations in time, endogeneity is controlled and a causal relationship where higher house prices is postulated, which leads to an increase in entrepreneurial activity in different industries. By using a spatial Durbin model, the authors control for spatial dependency.

This research paper highlights the economic impact on small and medium-sized enterprises (SMEs) due to Coronavirus outbreaks. It proposes factors that influence the strengthening and survival of SMEs.

In this research, resilience is reflected in the following aspects hope, problem resolution and persistence. This quantitative study analyses a purposive sample of 120 small and medium-sized firms in India. The study's primary data are the responses to questionnaires issued to respondents, analyzed and hypotheses formed and tested using the structural equation modeling (SEM) technique.

The study results show that all the variables significantly reduce the impact of COVID-19 on SMEs. The presented model is expected to help researchers, business modelers, analysts and real professionals with further studies in the SME context.

This new approach adds to the business resilience knowledge of SMEs and has practical implications for manufacturing organizations seeking to become robust during and after COVID-19.

This study explores the connection between intellectual capital (IC) components and the competitive advantage (CA) of the hospitality sector in Jordan through the mediating role of service innovation as well as the moderating role of big data analytics capabilities.

Data were collected through a self-administered questionnaire from the hospitality sector with a sample of 402 respondents. Data were analysed using SmartPLS, a bootstrapping technique was used to analyse the data. The mediating effect for service innovation and the moderating effect for big data analytics capabilities were performed.

The results showed that the proposed moderated-mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between human capital, structural capital and relational capital and the CA as well as a mediating effect of service innovation. The findings confirmed that there is a moderating relationship for big data analytics capabilities between service innovation and CA. The results illustrate the importance of IC and service innovation in enhancing CA in the Jordanian hospitality sector in light of the big data analytics capabilities.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of the limitation's results, and the results are limited to one sector.

This research developed a theoretical model to incorporate IC components, service innovation, big data analytics capabilities and CA. This paper offers new theoretical and practical contributions that add value to the innovation and CA literature by testing the moderated-mediation model of these constructs in the hospitality sector which has been greatly affected by the coronavirus disease 2019 (COVID-19) pandemic. This study is distinguished from other studies by highlighting the role of IC and service innovation in enhancing CA as service innovation contributes to the formation of many organisational advantages in the Jordanian hospitality sector.