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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 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.

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.

Small and medium enterprises (SMEs) significantly contribute to economic growth, development, exports and employment of the nations. To maintain competitiveness in today's market, SMEs must explore and identify enablers to enhance their digital transformation process. This paper aims to shed light on some essential enablers SMEs can use to implement digital resilience successfully.

The quantitative assessment and validation of the enablers have been done using powerful and novel techniques, namely, the Delphi method, “fuzzy interpretive structural modelling” (F-ISM) method and “cross-impact matrix multiplication applied to classification (MICMAC)” analysis. The F-ISM model is developed using the information drawn from digital transformation experts and practitioners involved in the digital transformation process for SMEs. Furthermore, the F-ISM model provides four paths to complete the pathway to digital resilience.

The F-ISM and MICMAC analysis revealed four ways to enhance the digital transformation process in SMEs. These enterprises can utilise these path assessments to become digitally resilient in the present dynamic scenario. To enhance digital resilience among SMEs, the study identified ten enablers. Among these, “management competencies” was the most crucial, followed by “knowledge management” and “monitoring and controlling”.

The present study is limited in that the data used to develop the models were collected from a small group of industry experts whose opinions may not exhibit the comprehensive views of the population.

The findings can help SMEs enhance the digital transformation process by taking up different pathways to integrate the various enablers of digital resilience depending on resource availability.

The results indicate the most critical and influential enablers for enhancing digital resilience among SMEs. This research can be valuable to academicians, industry practitioners and researchers for guiding their future work.

This study aims to investigate the dynamics of knowledge hiding (KH) within group settings, focusing on both the experiences of those who hide knowledge and the perceptions of their group members.

An exploratory study was conducted with 49 undergraduate business students who participated in group-based problem-solving tasks. Some participants were assigned the role of “knowledge hiders.” Data were gathered through observations, pre- and posttask surveys and in-depth interviews. The analysis included quantitative and qualitative approaches, with thematic analysis applied to the qualitative data.

This study identified complex emotional responses among knowledge hiders, including guilt and cognitive conflict, moderated by social context. Hiders used various strategies, including evasive hiding, playing dumb and misdirection. Interestingly, targets often misinterpreted KH behaviors, attributing them to disinterest or discomfort rather than intentional withholding.

The controlled setting and short-term interactions may limit generalizability to organizational contexts. Future research should explore the long-term consequences of KH and its occurrence in diverse environments.

Organizations may benefit from addressing the underlying causes of KH, such as communication issues and weak social connections, rather than solely focusing on eliminating KH behaviors. Understanding the subtle nature of KH could lead to more effective interventions in fostering open knowledge-sharing cultures.

The dual perspective – examining both the hiders’ and targets’ experiences – adds a novel dimension to the KH literature. The findings challenge the assumption that KH always leads to negative outcomes, like mistrust or group conflict, and emphasize how KH is often misperceived in group interactions.

This study aims to investigate the role of interfirm communication on the complementary effect between corporate political action (CPA) and research and development (R&D) investments under transaction costs.

A quasi-experiment study design was used, combining business game simulation and a public goods experiment with communication as a controlled variable. A fixed-effect regression analysis was performed on panel data collected from 72 students.

The findings indicate that collective CPA is positively and significantly associated with R&D investments, particularly when interfirm communication is present. Conversely, for non-communicating firms, the effect is limited to the relationship between individual CPA and R&D investment.

Despite advancing the research on political ties and innovation, the study acknowledges limitations related to framing effects and institutional variability.

The complementary effects indicate that institutional arrangements (i.e. business associations) may foster interfirm communication and cooperation in CPA efforts, mitigating opportunistic behaviours and legitimising CPA strategy towards innovation.

This study contributes to understanding how firms’ political and R&D decisions can positively impact innovation, despite the challenges of ex post transaction costs.

The positive effect of communication on political action and cooperation on firms’ innovation, even in weak institutional environments, is highlighted. An innovative methodological approach combining business games and economic experiments was used to examine participants’ decisions under transaction costs.

This study aims to identify and understand critical success factors for implementing and sustaining circular economy (CE) practices in manufacturing small and medium-sized enterprises (SMEs). More precisely, this study examines the complex interplay between micro-, meso- and macro-level success factors that are deemed critical for implementing and sustaining CE practices.

The study is based on a two-stage methodology that combines a comprehensive literature review and an interview study with 12 Swedish manufacturing SMEs that implement CE practices.

The study identifies and categorizes success factors for implementing and sustaining CE practices in manufacturing SMEs. Based on the findings, a holistic framework is proposed that takes into account multiple perspectives, i.e. at the micro, meso and macro levels. This framework enables a deeper understanding and thus a more nuanced discussion of the complexity inherent in the transition to a CE from the perspective of manufacturing SMEs.

This study contributes to the growing body of research on CE transition. By focusing on SMEs in particular, the paper adds the needed diversity to the study of CE practices and influencing factors at different levels.