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The study aims to describe the impact of supervisor’s and co-worker’s ostracism on the employee's responses (emotional, psychological and behavioral) through the mediation of employees' efficacy needs and relational needs. Moreover, psychological capital is treated as a moderator to handle the adverse responses of ostracized employees.

The study employed a three-wave quantitative research design to gather data from employees and their respective supervisors who belonged to various healthcare units (N = 510) using self-administered close-ended questionnaires. After that, SmartPLS software was used to analyze the data through a structured equation modeling (SEM) technique.

The empirical results of the study endorsed that ostracism adversely (negatively) affects employees' responses (comprised of emotional, behavioral and psychological). Moreover, the results revealed that employees' needs (efficacy and relational) mediate the relationship between ostracism experienced by employees (supervisor’ and co-workers’ ostracism) and their emotional, behavioral and psychological responses. In addition, it is also evidenced that employees' psychological capital improves the negative association between employees' needs and responses.

The literature in this domain is scarce, and the theoretical stance is weak due to the traditional approaches that are more concerned with the outcomes rather than analyzing the employee's conditional what they are going through. The present study enhances the knowledge of the transactional mode of coping and its application to ostracism in the workplace. The results of the current study may also support the practitioners in formulating interventions to foster a favorable workplace environment.

Whilst a modest number of investigations have been undertaken concerning nanofluids (NFs), the exploration of fluid flow under exponentially stretching velocities using NFs remains comparatively uncharted territory. This work presents a distinctive contribution through the comprehensive examination of heat and mass transfer phenomena in the NF ND–Cu/H₂O under the influence of an exponentially stretching velocity. Moreover, the investigation delves into the intriguing interplay of gyrotactic microorganisms and convective boundary conditions within the system.

Similarity transformations have been used on PDEs to convert them into dimensionless ODEs. The solution is derived by using the homotopy analysis method (HAM). The pictorial notations have been prepared for sundry flow parameters. Furthermore, some engineering quantities are calculated in terms of the density of motile microbes, Nusselt and Sherwood numbers and skin friction, which are presented in tabular form.

The mixed convection effect associated with the combined effect of the buoyancy ratio, bioconvection Rayleigh constant and the resistivity due to the magnetization property gives rise to attenuating the velocity distribution significantly in the case of hybrid nanoliquid. The parameters involved in the profile of motile microorganisms attenuate the profile significantly.

The current simulations have uncovered fascinating discoveries about how metallic NFs behave near a stretched surface. These insights give us valuable information about the characteristics of the boundary layer close to the surface under exponential stretching.

The novelty of the current investigation is the analysis of NF ND–Cu/H₂O along with an exponentially stretching velocity in a system with gyrotactic microorganisms. The investigation of fluid flow at an exponentially stretching velocity using NFs is still relatively unexplored.

The purpose of this study is to examine the influence of ESG practices on green innovation with the moderating effect of innovation orientation in Malaysian manufacturing listed companies.

This study employed a quantitative research approach by using a well-structured questionnaire for data collection. The questionnaire was distributed to 204 Malaysian manufacturing listed companies in consumer products and services sector. Finally, partial least square-structural equation modeling (PLS-SEM) was utilized to examine the relationship between constructs.

Based on stakeholder theory, results indicated that environmental, social and governance (ESG) practices significantly improve green innovation. The insignificant moderating effect of innovation orientation was identified between the relationship of environmental and social practices and green innovation. Interestingly, results affirmed the negative moderating effect between the relationship of governance practices and green innovation.

This study is limited to Malaysian manufacturing companies of consumer products and services sector in Bursa Malaysia. Hence, the findings of this study cannot be generalized to manufacturing companies of other geographical contexts.

This work provides constructive implications to management and policymakers of Malaysian manufacturing companies in strategic planning toward enhancing green innovation and developing business competitiveness to achieve sustainable business performance.

This research magnifies valuable insights into the literature through a comprehensive model that simultaneously investigates the relationships between ESG practices, innovation orientation and green innovation. In addition, this is the first attempt to investigate the influence of ESG practices on green innovation with a moderating effect of innovation orientation, which indeed strengthens the originality of this study.

This study aims to investigate the potential positive correlation between inclusive leadership and hotel frontline employees’ (FLEs) customer stewardship (CS) behavior, using the conservation of resource theory as its foundation. It hypothesizes that role breadth self-efficacy (RBSE) acts as a mediating factor in this relationship, with employee conscientiousness serving as a significant moderating variable.

A time-lagged survey design was used, spanning over three rounds to collect data from 348 hotel FLEs and 42 managers. The analysis was conducted using structural equation modeling in Mplus version 8.6.

The study revealed a positive association between inclusive leadership and FLE CS, both directly and indirectly through RBSE. The results also showed that FLE conscientiousness moderated the direct link between inclusive leadership and RBSE, as well as the indirect link between inclusive leadership and FLE CS.

The evidence suggests that inclusive leadership behaviors among hospitality managers may elevate FLE CS behaviors, implying significant benefits for the success of hospitality organizations. Managers should focus on enhancing FLEs’ RBSE to further improve CS behaviors. In addition, by considering FLE conscientiousness, managers can craft targeted strategies to maximize the impact of inclusive leadership on CS behaviors.

This research contributes to the limited body of knowledge on the precursors of CS behavior by explaining both direct and indirect connections with inclusive leadership. Furthermore, it broadens the understanding of the conditions under which leadership most effectively shapes such behaviors.

Environmental sanctions and pressure from governments and customers can play an essential role in driving the manufacturing industry to adopt more sustainable practices and reduce their environmental impact. Thus, this study explores how pressures from customers and governments influence sustainable firm performance and customer satisfaction through green production, green creativity, green brand innovativeness and green brand image in the Chinese manufacturing industry? Further, the moderating role of green knowledge was analyzed.

640 valid responses from the Chinese manufacturing industry were collected through web-based and physical surveys and later assessed through structural equation modeling.

The findings of this study validated the direct relationship between the proposed construct. Mediation analysis found the mediating role of green brand innovativeness, green brand image green and customer satisfaction. Furthermore, the moderating impact of green knowledge was also proved.

The empirical findings of this research filled the literature gap on cleaner production and sustainable firm performance by focusing on green production, green creativity and green knowledge in the Chinese manufacturing industry context.

This study is the first to examine how big data analytics (BDA) capabilities affect green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the dynamic capability view, BDA and knowledge-sharing literature. There is a lack of studies addressing the BDA–GAC and BDA–GEO relationships and their potential impact on green innovation. Continuing the ongoing research discussion, a few studies examined the vital implications of knowledge sharing (KS) on GAC, GEO and green innovation.

The study used a cross-sectional and stratified random sampling technique to collect data through self-administered surveys among Chinese manufacturing firm employees. The study applied SmartPLS to analyze the obtained data.

The findings revealed that BDA capabilities positively influence GAC and GEO. In addition, GEO and KS positively impact green innovation. The KS recorded a positive impact on GAC and GEO. Furthermore, GAC and GEO recorded a partial mediating effect.

The study acknowledges that GAC is the backbone of a firm green entrepreneurial orientation, which needs to be aligned with BDA capabilities to anticipate future green business trends. GAC's help drives GEO's green business agenda. KS plays a strategic role in developing GAC, fostering GEO and improving green innovation.

The study highlights the necessity of aligning BDA capabilities to fit firms' GEO green business agendas. This study focuses on the role of BDA capabilities in developing firms' green dynamics capabilities (e.g. GAC), which helps GEO drive superior green business growth. KS develops GAC and boosts GEO to enhance green innovation.

The purpose of this study is to explore the associations between leadership, trustworthiness, and employee engagement during COVID-19.

In this cross-sectional, quantitative study, surveys of Sri Lankan male and female managers were conducted via standardized questionnaires. The sample size was 297 respondents. The Smart-PLS version 3.36 structural equation model analyzed the data set.

Both leadership and employee engagement and trustworthiness and employee engagement were found to have a statistically significant relationship. It has been found that leadership indirectly contributes to a higher degree of employee engagement through increased trustworthiness. According to the findings, employee engagement rises when they have the trustworthiness of the leadership in the virtual environment.

According to the findings of this study, organizations need to introduce rules to improve leadership manager roles in a virtual environment, which can improve trustworthiness and employee engagement. It also suggests that organizations should build trustworthiness between employees and leadership through a positive culture in a virtual environment that can improve employee engagement and organizational performance.

Research on leadership and trustworthiness improves employee engagement in a virtual environment is the contribution of this study.

The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of resource-based view (RBV) theory, the current study will highlight the significance of BDAC on green dynamic capabilities (GDC), supply chain agility (SCA) and green competitive advantage (GCA). Furthermore, the study examines the moderating effect of supply chain innovativeness (SCI) on the relationship between GCA and firm performance (FP).

Online survey method was employed for the data collection from the 331 managers employed in Pakistan Stock Exchange (PSX)-listed manufacturing firms. The hypothesized model was tested using partial least squares structural equation modeling (PLS-SEM) technique.

The study results indicate that BDAC has a positive influence on both GDC and SCA, leading to enhanced GCA. Furthermore, the results demonstrate that GCA significantly and positively impacts FP, and the relationship between them is positively moderated by SCI.

This study developed a novel theoretical perspective based on RBV theory and provided empirical evidence that manufacturing firms' performances are significantly influenced by BDAC, GDC and SCA. The study results provide valuable practical implications top management regarding the effectiveness of BDAC and SCA in the supply chain. The findings further highlight the significance of SCI strengthening relationship between GCA and FP.

Taking job demand-resource (JD-R) and self-determination perspective, the current study focused to see how basic need satisfaction (BNS) – as a personal demand – impacts work engagement directly and indirectly through personal resource (i.e. self-efficacy). Moreover, the aim was to test the dimension-wise impact of BNS, i.e. the need for autonomy, need for belongingness and need for competence in the aforementioned relationship.

This research is a time-lagged survey in which three-wave data of 398 white-collar employees were collected from the service and manufacturing sector of Pakistan through convenience sampling. Each wave of data collection was two months apart. The matched responses yielded an overall response rate of 66.33%. The collected responses were duly analysed using partial least squares structural equation modeling (PLS-SEM).

Results of the study confirmed all direct and indirect hypotheses encompassing the impact of the combined BNS construct on work engagement via self-efficacy. Nonetheless, in the dimension-wise analysis, the indirect impact of the need for job autonomy on work engagement was not validated. This depicted that the need for competence and relatedness are more important predictors of work engagement through the self-efficacy path.

It has been observed that prior research on work engagement was mainly focused on the role of job demands (JDs) and personal resources; however, the role of personal demands along with personal resources has little been discussed. The authors tested the total as well as the specific impact of each component of basic need on work engagement making it possible to examine the total predicting role of basic need satisfaction and the specific contribution of satisfaction of each need on work engagement.

The purpose of this paper is to study the thermal behavior of radial porous fin surrounded by water-base copper nanoparticles under the influence of radiation.

In order to optimize the response variable, the authors perform sensitivity analysis with the aid of response surface methodology (RSM). Moreover, this study enlightens the applications of artificial neural networks (ANN) for predicting the temperature gradient. The governing modeled equations are firstly non-dimensionalized and then solved with the aid of Runge–Kutta fourth order together with the shooting method in order to guess the initial conditions.

Numerical results are analyzed and presented in the form of tables and graphs. This study reveals that the temperature of the fin is decreasing as the wet porous parameter increases (m₂) and the temperature for 10% concentration of nanoparticles are higher than 5 and 1%. Physical parameters involved in the study are analyzed and processed through RSM. It is come to know that sensitivity of temperature gradient to radiative parameter (Nr) and convective parameter (Nc) is positive and negative to dimensionless ambient temperature (θ_a). Furthermore, after ANN training it can be argued that the established model can efficiently be used to predict the temperature gradient over a radial porous fin for the copper-water nanofluid flow.

To the best of our knowledge, only a few attempts have been made to analyze the thermal behavior of radial porous fin surrounded by copper-based nanofluid under the influence of radiation and convection.