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This study aims to examine how an organization’s innovation capability could influence research and development (R&D) performance. It also investigates if industry–academic knowledge transfer has a moderating relationship between organizational innovation capability and exploration and exploitative innovation in improving the R&D performance of the organizations.

Based on the literature and dynamic capability view, a conceptual model was developed and then validated using the partial least squares-structural equation modeling technique considering 387 responses from academicians and industry personnel.

The study found that industry–academic knowledge transfer has a significant moderating impact toward improving innovation capability, organizations’ R&D performance and exploration innovation. However, it has an insignificant moderating impact on improving innovation capability and exploitative innovation.

Organizational innovation capability is characterized by both exploratory and exploitative innovation. Both types of innovation support the R&D performance of an organization. Also, organizations that closely work with academic institutions could gain significant R&D knowledge from academic expertise. This study provides food for thought for the academic community as well as industry policymakers.

There are significant opportunities for academic institutions to gain practical knowledge from industry which can help them to accelerate their R&D activities. However, transferring knowledge between industry and academia has challenges related to intellectual property, patents and so on. Not much research has been conducted in this area. Thus, the proposed research model is unique and adds to the existing literature.

Given the lack of understanding surrounding search regret, this study aims to draw on the regret regulatory theory to investigate the outcomes of search regret and effective strategies to reduce its adverse effects.

Using time-lagged data from 331 salespeople-customers dyads, this study investigates the connection between search regret, store image, interaction quality, and store revisit intentions.

Customers develop negative perceptions of the store, subsequently reducing their intentions to revisit. Salespeople’s interaction quality can reduce the negative impact of search regret on store image and revisit intentions. Furthermore, store image serves as a mediator between search regret and revisit intentions.

This study marks the first attempt to investigate the store image and revisit intentions as outcomes of search regret and examines the moderating role of salespeople’s interaction quality in reducing the negative consequences of search regret.

Nanofluids are used in technology, engineering processes and thermal exchanges. In thermal transfer processing, these are used for the smooth transportation of heat and mass through various mechanisms. In the current investigation, we have examined multiple effects like activation energy thermal radiation, magnetic field, external heat source and especially slippery effects on a bioconvective Casson nanofluid flow through a stretching cylinder.

Several studies used non-Newtonian fluid models to study blood flow in the cardiovascular system. In our research, Lewis numbers for bioconvection and the influence of important parameters, such as Brownian diffusion and thermophoresis effects, are also considered. This system is developed as a partial differential equation for the mathematical treatment. Well-defined similarity transformations convert partial differential equation systems into ordinary differential equations. The resultant system is then numerically solved using the bvp4c built-in function of MATLAB.

After utilizing the numerical approach to the system of ordinary differential equations (ODEs), the results are generated in the form of graphs and tables. These generated results show a suitable accuracy rate compared to the previous results. The consequence of various parameters under the assumed boundary conditions on the temperature, motile microorganisms, concentration and velocity profiles are discussed in detail. The velocity profile decreases as the Magnetic and Reynolds number increases. The temperature profile exhibits increasing behavior for the Brownian motion and thermal radiation count augmentation. The concentration profile decreased on greater inputs of the Schmidt number and magnetic effect. The density of motile microorganisms decreases for the increased value of the bio-convective Lewis number.

The numerical analysis of the flow problem is addressed using graphical results and tabular data; our reported results are refined and novel based on available literature. This method is useful for addressing such fluidic flow efficiently.

This paper aims to investigate the impact of perceived usefulness of online reviews and crowd cues on restaurant selection. In addition, the authors also examine the moderating role of perceived crowding and gender in this process.

The proposed hypotheses were tested with survey data (N = 200) collected from customers visiting full-service restaurants in Malaysia. The data were analyzed using SEM through Smart PLS.

The findings supported that the perceived usefulness of online reviews and perceived crowding have a positive effect on a consumer's purchase intentions, i.e. their decision of restaurant selection. Besides, a higher level of perceived crowding strengthens the relationship between the perceived usefulness of online reviews and their purchase intentions. This finding delineates that consumers prefer to dine in a crowded place with useful online reviews in an unfamiliar place. Finally, the results show that the effect of the usefulness of online reviews on purchase intentions does not vary with respect to gender (no significant contingent effect). However, the effect of perceived crowding varies with respect to gender – male customers have higher intentions to join crowded restaurants as compared to females.

Limitation of this study is its cross-sectional research design; data were collected in a single time frame. Longitudinal research design can be used to get in-depth knowledge of this phenomenon. Secondly, a non-probability sampling technique was used in this study, future research can used probability sampling technique to enhance generalizability of the study. Moreover, this study focused on the human crowding aspect, future studies can cover both aspects of crowding (human crowding and spatial crowding) in retailing or other service sectors (Blut and Iyer, 2020).

This study has multiple practical implications.

This study extends the current research on usefulness of online reviews and perceived crowding by investigating its direct and conditional effects. Specifically, the authors contribute in extant research by explaining its differential effects for male and female customers, when they select which restaurants to dine.

The purpose of this study is to provide a comprehensive exploration of academic research on halal purchasing decisions and consumer behavior by integrating bibliometric and systematic review methodologies.

This study uses a multi-method approach, combining bibliometric and systematic review methodologies, to comprehensively analyze the domain of halal purchasing decisions and consumer behavior. A data set of 184 articles published between 2007 and 2024 was sourced from the Scopus database. The bibliometric analysis was conducted using Bibliometrix in R, facilitating performance analysis, science mapping and network analysis to explore key authors, affiliations, collaborations and thematic trends. Additionally, the systematic review examined the limitations and future research areas discussed in prior studies, providing the basis for formulating potential research questions to address identified gaps.

The study identifies significant contributions within the domain of halal purchasing decisions and consumer behavior, emphasizing the critical roles of religiosity, trust and halal certification as dominant themes. Bibliometric analysis reveals key authors, influential publications and collaborative networks, highlighting Malaysia as a central hub for research in this field. Additionally, the analysis underscores the intellectual structure and thematic evolution, identifying underexplored areas such as non-Muslim perspectives, emerging halal industries and geographic diversity. The systematic review complements these insights by addressing recurring methodological and theoretical limitations, offering targeted recommendations for future research.

This research uniquely combines bibliometric and systematic review methodologies to provide a comprehensive review of the halal consumer behavior literature, identifying limitations and gaps in prior studies and proposing actionable areas for future research.

The heat transport phenomenon in which energy transfers due to temperature differences is an important topic of interest for scientists in recent times. It is because of its wide range of applications in numerous domains such as electronics, heat dispersion, thermoregulation, cooling mechanism, the managing temperature in automotive mobile engines, climate engineering, magnetoresistance devices, etc. On account of such considerations, the magnetohydrodynamic (MHD) entropy rate for nanomaterial (CoFe₂O₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is analyzed. The Darcy–Forchheimer relation is utilized to describe the impact of a porous medium on a stretched sheet. Two nanoparticles molybdenum (MoS₄) and cobalt ferrite (CoFe₂O₄) are combined to make hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂). Heat flux corresponds to the Cattaneo–Christov model executed through heat transfer analysis. The influence of dissipation and heat absorption/generation on energy expression for nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is described.

Nonlinear partial differential expressions have been exchanged into dimensionless ordinary differential expressions using relevant transformations. Newton’s built-in shooting method is employed to achieve the required results.

Concepts of fluid flow, energy transport and entropy optimization are discussed. Computational analysis of local skin friction and Nusselt number against sundry parameters for nanomaterial (CoFe₂O₄/C₂H₆O₂) and hybrid nanomaterial (CoFe₂O₄+MoS₄/C₂H₆O₂) is engrossed. Larger magnetic field parameters decay fluid flow and entropy generation, while an opposite behavior is observed for temperature. Variation in magnetic field variables and volume fractions causes the resistive force to boost up. Intensification in entropy generation can be seen for higher porosity parameters, whereas a reverse trend follows for fluid flow. Heat and local Nusselt numbers rise with an increase in thermal relaxation time parameters.

No such work is yet published in the literature.

The coating process increases the durability, quality and effectiveness of the web, is used in manufacturing of wallpapers, adhesive tapes, wrapping, protection of fabrics and metals, X-ray and photographic films, beautification, books and magazines, film foils, magnetic records, coated paper, etc.

This paper gives a detailed study of the Oldroyd-4 constant fluid rheology during blade coating technique to check the sensitivity of velocity slippage on blade surface and magnetohydrodynamics (MHD) on final coating thickness and other mechanical properties. Heat transfer effects are also considered with viscous dissipation. The governing expressions under Lubrication Approximation Theory (LAT) are shortened and non-dimensionalized. A numerical technique with root finding algorithm is employed to determine the velocity profile, pressure and pressure gradient, shear stress, coating thickness, blade load and temperature profile. Figures and tables are exploited to show and discuss the effects of Hartmann number, slip parameter, geometrical parameter and viscoelastic fluid parameters on the flow and mechanical quantities. Comparison is also presented with previous literature under specific conditions.

From a technical vantage point, blade load and pressure are significant results of research as they lead to varying coating thickness, which gives an efficient coating process and extends substrate life. Shear stress is directly proportional to the magnetic parameter and inversely proportional to velocity slippage on blade surface. Temperature curve increases with increment in magnetic parameter and Brinkman number, while decrease in temperature is detected from slip parameter.

In literature, this investigation fills a gap in the numerical prediction of slip and MHD effects on the thin layer coating of rheological viscoelastic fluid during blade coating phenomena.

The Australian retail industry is facing skills shortages while mature and old-age workers are experiencing high unemployment rates. This study focuses on understanding organizational inclusion and turnover intentions in the context of employee age.

Survey data were collected from 502 retail supervisors and employees.

Drawing on socioemotional selectivity theory and social exchange theory, the findings indicate: no difference in inclusive supervisory behaviors perceptions for different age groups; a significantly higher workplace social inclusion perceptions among employees aged 55 plus than among employees aged 35–44; a significantly lower turnover intention among employees aged 55 plus and 45–54 years than other age groups; a positive relationship between inclusive supervisory behaviors and workplace social inclusion and a negative relationship between workplace social inclusion and turnover intention which was stronger for older employees than for younger employees.

The findings present a business case for hiring older employees and indicate that managers need to prioritize inclusion.

This study addresses the underexplored area of employee age differences in inclusion and turnover perceptions among retail employees. It links inclusive supervisory behaviors, social inclusion and turnover intention.

The purpose of this study is to present a bibliometric analysis of affordable and clean energy research, focusing on key themes, collaboration patterns and the field’s intellectual structure.

Using a sample of 37 articles from Scopus, the authors identified the most frequently used keywords, the most productive countries and organizations and categorized research themes into niche, motor, basic and emerging or declining themes. “Clean Energy,” “Renewable Energy” and “Affordable and Clean Energy” emerged as dominant keywords, highlighting the field’s alignment with global sustainability goals. The USA, China and India were found to be the most productive countries, while institutions like Sri Manakula Vinayagar Engineering College and Nigerian National Petroleum Company played pivotal roles in collaborative networks, reflecting a globalized and interdisciplinary research environment.

The thematic analysis revealed that motor themes, such as “Climate Change” and “Greenhouse Gases”, are central to the discourse, while topics like “Economic Development” and “Energy Conservation” were identified as niche areas. Basic themes, including “Carbon Dioxide” and “Electricity Industry,” remain foundational yet underdeveloped.

This study provides a structured overview of the affordable and clean energy research landscape, offering insights into current trends and identifying areas for future exploration, with an emphasis on interdisciplinary collaboration and socio-economic impacts.

The healthcare sector faces leadership challenges, emphasizing the importance of a mechanism to support and empower team members. The present study aims to investigate the impact of team empowerment (TE) on team performance (TP), with the mediating role of shared leadership (SL) and the moderating role of relationship conflict between shared leadership and team performance.

This study's conceptual model was proposed using the social exchange theory and conservation of resource theory. Data was collected using a self-administrated questionnaire to 492 respondents, of which 42 were team leaders, and 450 were team members from 42 teams in the Pakistani healthcare sector. The Partial Least Square-Structural Equation Modeling (PLS-SEM) technique was used to examine the proposed hypotheses of the study.

The results revealed a significant positive relationship between team empowerment and shared leadership. SL is positively associated with team performance. The present study also found that SL positively mediated the relationship between shared leadership and team performance. Moreover, relationship conflict moderated the relationship between SL and TP.

The finding delineates that healthcare organizations can adopt shared leadership and empower team members by involving them in decision-making, enhancing collaboration, resource utilization, and patient care outcomes. Managers should implement structured strategies like cross-functional training and inclusive decision-making processes to cultivate empowered teams and mitigate relationship conflicts for optimal performance.

The study advocates developing shared leadership practices for better team outcomes. This study is an early attempt to examine the mediating role of shared leadership between team empowerment and team performance.