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The present study scrutinizes the relative performance of various near-wall treatments coupled with two-equation RANS models to explore the turbulence transport mechanism in terms of the kinetic energy budget in a plane wall jet and the significance of the near-wall molecular and turbulent shear, to select the best combination among the models which reveals wall jet characteristics most efficiently.

A two-dimensional steady incompressible plane wall jet in a quiescent surrounding is simulated using ANSYS-Fluent solver. Three near-wall treatments, namely the Standard Wall Function (SWF), Enhanced Wall Treatment (EWT) and Menter-Lechner (ML) treatment coupled with Realisable, RNG and Standard k-e models and also the Standard and Shear-Stress Transport (SST) k-ω models are employed for this investigation.

The ML treatment slightly overestimated the budget components on an outer scale, whereas the k-ω models strikingly underestimated them. In the buffer layer at the inner scale, the SWF highly over-predicts turbulent production and dissipation and k-ω models over-predict dissipation. Appreciably accurate inner and outer scale k-budgets are observed with the EWT schemes. With a sufficiently resolved near-wall mesh, the Realisable model with EWT exhibits the mean flow, turbulence characteristics and turbulence energy transport even better than the SST k-ω model.

Three distinct near-wall strategies are chosen for comparative performance analysis, focusing not only on the mean flow and turbulence characteristics but the turbulence energy budget as well, for finding the best combination, having potential as a viable and low-cost alternative to LES and DNS for wall jet simulation in industrial application.

This research aims to determine how abusive leadership negatively affects knowledge workers' productivity and its potential influence on digital innovation. The present study also explores the mediating role of a knowledge worker’s competence between abusive leadership and knowledge worker productivity.

The study employed a quantitative research approach. Data were gathered through purposive sampling using 255 questionnaires completed by IT industry knowledge workers in Pakistan. The data were analyzed using the SMART-PLS 4.0 software.

The findings demonstrated a negative correlation between abusive leadership and knowledge worker productivity. Additionally, the relationship was partially mediated by knowledge worker competence. Furthermore, the study asserts that knowledge worker productivity has a substantial positive impact on digital innovation.

This study contributes substantially to the existing body of evidence on the productivity of knowledge workers and digital innovation by examining the interlocking effects of abusive leadership. It also implies the interpersonal mechanism of employee competence that connects abusive leadership with the productivity of knowledge workers and digital innovation. Thus, this study is one of the first inquiries to analyze this paradigm.

The purpose of this study was to explore important elements involved in interorganizational learning (IOL) in the complex context of integrated health care.

The study applied concept-driven content analysis of qualitative data collected from documents, protocols, reports, reflection circles and interviews related to an improvement initiative in Norwegian integrated health care for elderly and fragile patients.

The analysis supports the applicability of Engeström’s activity system model to better understand the local contexts of IOL in integrated health care. However, the study also identified an essential additional contextual element in the case under study: an organizational network structure binding all involved parties together. This structure was crucial for facilitating the IOL process, indicating potential for further development of Engeström’s model to address the complexities of integrated health care.

This study tested and extended a long-standing model – the human activity system – within the context of integrated health care. The authors propose introducing leadership as a distinct element, organized as a network structure that connects all stakeholders. Implications for leaders and policymakers include the importance of developing network structures and conducting contextual analysis before designing IOL processes in integrated health care. The study opens new avenues for research on IOL in integrated health care.

The purpose of this paper is to structure existing research on knowledge management (KM) in small- and medium-sized enterprises (SMEs) to offer a comprehensive overview of research strands and topics in KM in SMEs to determine their evolution over time.

The paper, which is considered a follow-up literature review, is based on a systematic literature review that covers 180 scientific papers that were published since the review paper by Durst and Edvardsson in 2012 that covered 36 papers.

The findings of this review and those of the aforementioned review are brought together in the form of an overview that structures research on KM in SMEs based on themes that, in turn, allow the derivation of promising research directions and research questions aimed at structuring future research on KM in SMEs.

By combining the findings of this review with the findings from the review published in this journal in 2012, this paper offers, to the best of the authors’ knowledge, the most comprehensive literature review on KM in SMEs produced to date.

The purpose of this study is to identify important strategies and practices supporting inter-organizational learning (IOL) in integrated care. The two research questions ask how organizational network architectures can help involved organizations overcome the barriers of IOL in integrated care (RQ1) and what design recommendations can strengthen the processes of IOL in integrated care (RQ2).

This study applies a qualitative design to analyze an improvement initiative in a regional, integrated care service for elderly patients with multiple illnesses in Norway. An inductive thematic analysis for the triangulating of qualitative data from different sources was applied. Patterns within the data were organized into themes, categories and subcategories. No software was applied.

The identified characteristics of the organizational network architectures supporting IOL in integrated care in the case under study were: equality of the involved parties, shared goals, recognition of expertise and the abilities to coordinate, design IOL processes and make joint decisions (RQ1). The categories of practices supporting the process of IOL were: insight into complex realities, contradictions, iteration, motivation and prototypes (RQ2).

This study offers much-needed insight into a successful approach for IOL in integrated care. The results offer strategies to be considered when building organizational networks for the improvement of integrated care and relevant practices useful when designing IOL processes in such care services. We believe such knowledge has important implications for policymakers, frontline personnel, education, research and leaders.

The healthcare sector relies on knowledge management systems to improve knowledge flows and effectively capture, leverage and share knowledge with several organizational stakeholders. However, knowledge as a resource represents a social construct that involves additional managerial complexities and challenges, including undesirable knowledge behaviours. The aim of the current study is to provide insight on how knowledge management systems, knowledge hoarding, knowledge hiding and task conflict shape the quality of care provided by hospitals. We propose and test an original revealing model.

We follow a quantitative approach to address the structural relationship between variables using a combination of factor analysis and multiple regression analysis. The model is tested adopting a structural equation modelling approach and using survey data conducted to 318 healthcare professionals working in Portuguese hospitals.

The main findings suggest that knowledge hiding is positively related to task conflict in hospitals, and task conflict negatively influences quality of care. Knowledge management systems directly and indirectly (via knowledge hoarding) promote quality of care. Moreover, knowledge management systems also mitigate the negative influence of task conflict over quality of care. We propose a final corollary on the relevant role of HRM as the backstage for the model.

Our research offers a novel insight into an overlap of organizational behaviour and healthcare management research. It provides an original framework on knowledge management systems, counterproductive knowledge behaviours and task conflict in hospital settings.

Our research offers a novel insight into an overlap of organizational behaviour and healthcare management research. It provides an original framework on knowledge management systems, counterproductive knowledge behaviours and task conflict in hospital settings.

Acknowledging, on the one hand, the increasing fragility of supply chains and the number of risks involved in supply chain operations and, on the other hand, the role of small- and medium-sized enterprises (SMEs) in supply chains and the high exposure of these firms to risks of different types, this study aims to examine the relationship between supply chain risk management (SCRM) and innovation performance in SMEs. Furthermore, the impact of technological turbulence on this relationship was studied to take into account recent technological changes.

Structural equation modelling was carried out on a sample of Turkish SMEs to test the hypotheses developed.

The findings presented allow the authors to better understand the link between SCRM and innovation performance in SMEs. More precisely, empirical evidence is provided about the impact of SCRM components such as maturity and ability on innovation performance. Furthermore, the findings show the impact of technological turbulence on both SCRM and innovation performance.

By focusing on SCRM in SMEs, this paper contributes to the body of knowledge with regard to SCRM in general and with regard to SMEs in particular; research on the latter has only started recently. Moreover, by having studied SMEs from a developing country (other than China), this paper helps to develop a broader and more diverse perspective of SCRM.

This study delves into the interrelationships between business analytics (BA), strategic foresight (SF) and organisational resilience (OR) based on the systems theory. The research model was evaluated using Smart PLS 2.0. We found that both BA and SF have positive impacts on OR, explaining 32% of the change in OR. Additionally, BA was shown to have a positive effect on SF. We also discovered that BA partially mediates the relationship between SF and OR. However, no significant mediating effect was found in the relation of BA on OR through SF. These findings reveal the important role BA and SF play in enhancing OR, highlighting the mediating role of BA in the relationship between SF and OR. This research marks a significant advancement in the literature, being the first to establish this unique mediation effect and opens the way for future longitudinal research to validate and expand these findings.

Knowledge loss (KL) is still an unfortunate fact, causing many challenges, including poor organisational performance, despite prior efforts to investigate knowledge retention methods. Therefore, this study identifies early approaches to combat KL and poor organisational performance, shifting focus on employee personality traits.

Grounded on the social exchange theory (SET) cross-section data from 400 Chinese construction knowledge employees were used to investigate the role of internal work locus of control (IWLC) on job rotation (JR), KL and organisational performance. The data were analysed through IBM SPSS Statistics 25 and SmartPLS 4 software.

The results demonstrated that IWLC minimises KL and positively influences JR. Then, JR negatively influences KL and decreases in organisational performance. The negative mediating effect of JR in the relationship between IWLC, KL and decreased organisational performance were also found. Finally, KL proved to positively influence a decrease in organisational performance.

This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees' behaviours to establish progressive collective learning and knowledge sharing.

This study contributes to the new understanding of individual behaviour and its influence on organisational outcome variables. Specifically, for ultimate KL prevention and organisational performance improvement, an organisation should understand its employees’ behaviours to establish progressive collective learning and knowledge sharing.

This study is the first attempt to explore the influence of personality traits in the early minimisation of KL, particularly the role of IWLC and JR in combating KL and improving organisational performance.