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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 holistically present a systematic literature review (SLR) triangulated with bibliometric analysis on environmental, social and governance (ESG) research to synthesize and comprehensively review its evolving journey and emerging research streams.

Using R-studio software, this study carried out a retrospective quantitative bibliometric analysis through performance analysis, science mapping and network analysis, covering 261 documents published on ESG research between 2007 and 2022 in Scopus and Web of Science databases.

Performance analysis depicts the trends in publications, impactful journals and influential publications, authors and countries, while science mapping incorporates co-words and thematic analysis. Likewise, co-occurrence analysis provided four different clusters, representing ESG research linkage to other management fields along with key insights from co-citation network analysis. Additionally, the theory–context–characteristics–methods (TCCM) framework has provided valuable results in terms of widely and emerging used theories, contexts, characteristics and methodologies in ESG research.

The findings of this study’s comprehensive bibliometric analysis combined with SLR uncovered a robust roadmap for further investigation in ESG research by identifying the inherent structure and evolution of research themes. This review has not only identified the prevalent gaps in determining priorities for future research but also provides insights which not previously been captured and evaluated on this topic.

To the best of the author's knowledge, no study presents the TCCM framework in the context of bibliometric analysis of ESG research. Besides, a conceptual framework is developed that illustrates antecedents, mediators, moderators and outcomes of research on ESG practices and provides the concluded key takeaways and recommendations for potential authors intending to publish their research papers on ESG practices.

This study aims to propose a conceptual framework to examine the impact of corporate social responsibility (CSR) and green organizational culture (GOC) on green innovation with the moderating role of environmental, social and governance (ESG) disclosure in the Malaysian manufacturing industry.

The study is based on primary data to be collected from 204 manufacturing enterprises of consumers, products and services sector through a questionnaire that incorporates the five-point Likert scale. The exploratory factor analysis is proposed to be performed using SPSS 24.0 and confirmatory factor analysis is suggested to be conducted using AMOS.21 software to explore the factors and reliability of the items and to confirm the factorial structure of pertinent variables, respectively. Furthermore, partial least square structural equation modeling is proposed to investigate relationships between constructs and latent variables.

The proposed framework suggests that the comprehensive adoption of CSR and GOC with the moderating role of ESG disclosure has a significant and positive impact on green innovation.

This study provides insights into formulating strategies for enhancing green innovation and serves as a valuable resource for stakeholders for sustainable development in manufacturing enterprises.

To the best of the authors’ knowledge, regarding originality, this is the first attempt at conceptualizing the integrated framework of CSR, GOC, green innovation and ESG disclosure for collective examination that is likely to extend the existing literature. Furthermore, this study extends stakeholders and resource-based view theory by proving their utility in the perspective of CSR, GOC, green innovation and ESG disclosure to achieve environmental sustainability.

This study aims to explore the key factors that hinder technopreneur’s success.

The finalization of the most appropriate method to conduct any study is based on the nature of the research questions (Shaw, 1999; Morse and Richards, 2002). As this study is exploratory, a qualitative approach was used to collect the data. Morse and Richards (2002) have emphasized that the qualitative technique to collect is useful for in-depth assessment of the participant’s experiences, their understanding regarding the matter and their interpretation of their experiences.

Technopreneurs face four significant problems that have an impact on their business agility and competitiveness. These four factors are as follows: the entrepreneur’s skills and preparedness; their organization’s insufficient capabilities and talent to deal with the challenges; a lack of support mechanisms from relevant institutions; and, finally, the rapidly changing business environment in terms of technology and competition.

This study explores the hindrance factors through qualitative techniques faced by young technopreneurs in the context of Malaysia. This study will provide deep insight regarding the key issues facing new startups and will be helpful for policymakers.

The disruptive pandemic has badly affected supply chain operations across the globe and implementing green supply chain strategies is challenging for manufacturing firms, especially in emerging countries. Therefore, this study aims to identify the significant challenges hindering the green supply chain as a pathway towards sustainability in the post-COVID-19 era.

Fuzzy Delphi Methodology (FDM), Interpretive structural modeling (ISM) and MICMAC were applied. FDM was applied to select the most relevant challenges and later ISM and Matrices d'Impacts cross-multiplication appliqúe a classmate MICMAC were used for modeling and classifying critical challenges.

Lack of trust between firms and supply chain partners, and difficulty in transforming positive environmental attitudes into action are the significant challenges to implementing green supply chain management. Lack of communication between government and Chinese firms is the least important factor which shows that the government is trying to support firms and reduce the negative effects after the drastic impacts of COVID-19. However, COVID-19 left a draconian effect on organization’s green supply chain and it’s not easy to overcome.

None of the previous studies applied mixed methodologies of FDM, ISM and MICMAC to evaluate Green supply chain as a pathway to sustainable operations in the post-COVID-19 era. Challenging factors of green supply chain operations in COVID-19 are different from earlier studies and contribute to the literature of emerging countries.

This paper aims to examine the squeezing flow of hybrid nanofluid within the two parallel disks. The 50:50% water–ethylene glycol mixture is used as a base fluid to prepare Ag–Fe_3O_4 hybrid nanofluid. Entropy generation analysis is examined by using the second law of thermodynamics, and Darcy’s modal involves estimating the behavior of a porous medium. The influences of Viscous dissipation, Joule heating and thermal radiation in modeling are further exerted into concern.

For converting partial differential systems to ordinary systems, a transformation technique is used. For the validation part, the numerical solution is computed by embracing a fourth-order exactness program (bvp4c) and compared with the analytical solution added by the homotopy analysis method (HAM). Graphical decisions expose the values of miscellaneous-arising parameters on the velocity, temperature and local-Nusselt numbers.

Hybrid nanofluid gives significant enhancement in the rate of heat transfer compared with nanofluid. The outcomes indicate that the average Nusselt number and entropy generation are increasing functions of the magnetic field, porosity and Brinkman number. When the thermal radiation rises, the average Nusselt number diminishes and the entropy generation advances. Furthermore, combining silver and magnetite nanoparticles into the water–ethylene glycol base fluid significantly enhances entropy generation performance.

Entropy generation analysis of the magneto-hydrodynamics (MHD) fluid squeezed between two parallel disks by considering Joule heating, viscous dissipation and thermal radiation for different nanoparticles is addressed. Furthermore, an appropriate agreement is obtained in comparing the numerical results with previously published and analytical results.

The purpose of this study is to study the impacts of exponential space-dependent heat source (ESHS) and thermal radiation in Marangoni convective flow of Cross fluid. The passively controlled model is developed to exhibit the nanoparticles’ concentration on the surface.

The resulting problem under consideration is tackled by using the shooting approach.

Temperature field augments with enhancement of the thermophoretic, exponential-based space heat source (ESHS) and radiation parameters, whereas it decays with the increase of the Marangoni ratio parameter.

To the best of the authors’ knowledge, no such analysis has yet been reported.

The purpose of this paper is to clarify the effect of compressive stress on cavitation-erosion corrosion behavior of 304 stainless steel.

Compressive stresses of 60 MPa and 120 MPa were applied to 304 stainless steel through a self-designed loading device, and cavitation erosion-corrosion tests were performed using an ultrasonically vibratory apparatus. Scanning electron microscope and X-ray diffraction were used to analyze the microstructure evolution, and corrosion behavior was studied by electrochemical analysis.

The cavitation weight loss of 304 stainless steel decreased with the compressive stress. After cavitation corroded for 8 h, the weight loss for the specimen with 120 MPa compressive stress was 5.11 mg/cm², which was reduced by 56.7% from that of the specimen without loading stress (11.79 mg/cm²). The reason can be attributed to that compressive stress promoted the deformation-induced martensitic transformation during the cavitation process, which could not only provide a cushioning effect by absorbing cavitation impact energy but also improve the hardness of 304 stainless steel.

Compressive stress was found to restrain the cavitation damage on 304 stainless steel, and the corresponding mechanism was proposed.

This study aims to use a qualitative approach to explore and clarify the mechanism by which heuristic-driven biases influence the decisions and performance of individual investors actively trading on the Pakistan Stock Exchange (PSX). It also aims to identify how to overcome the negative effect of heuristic-driven biases, so that finance practitioners can avoid the expensive errors which they cause.

This study adopts an interpretative approach. Qualitative data was collected in semistructured interviews, in which the target population was asked open-ended questions. The sample consists of five brokers and/or investment strategists/advisors who maintain investors’ accounts or provide investment advice to investors on the PSX, who were selected on a convenient basis. The researchers analyzed the interview data thematically.

The results confirm that investors often use heuristics, causing several heuristic-driven biases when trading on the stock market, specifically, reliance on recognition-based heuristics, namely, alphabetical ordering of firm names, name memorability and name fluency, as well as cognitive heuristics, such as herding behavior, disposition effect, anchoring and adjustment, repetitiveness, overconfidence and availability biases. These lead investors to make suboptimal decisions relating to their investment management activities. Due to these heuristic-driven biases, investors trade excessively in the stock market, and their investment performance is adversely affected.

This study provides a practical framework to explore and clarify the mechanism by which heuristic-driven biases influence investment management activities. To the best of authors’ knowledge, the current study is the first to focus on links between heuristic-driven biases, investment decisions and performance using a qualitative approach. Furthermore, with the help of a qualitative approach, the investigators also highlight some factors causing an increased use of heuristic variables by investors and discuss practical approaches to overcoming the negative effects of heuristics factors, so that finance practitioners can avoid repeating the expensive errors which they cause, which also differentiates this study from others.

The purpose of this study is to assess the prevalence of burnout syndrome and its associated factors among medical students at Jazan University, Jazan, Kingdom of Saudi Arabia.

A cross-sectional survey was conducted among 440 randomly selected medical students at Jazan University. The questionnaire used for this study was based on the Copenhagen Burnout Inventory.

The overall prevalence of burnout was estimated at 60.2% (95% CI 55.6–64.8). The prevalence was higher for females (64.1%) than for males (56.2%) but without statistically significant differences (p > 0.05). On average, the students scored the highest averages in the personal burnout category, followed by the study-related and client-related burnout categories. In the multivariate analysis, a lower age (beta = −3.17, p = 0.026), female (beta = −0.896, p = 0.016), and having better burnout knowledge (beta = 0.710, p = 0.025) predict significantly higher personal burnout.

It is necessary to implement strategies to reduce the incidence of burnout among medical students for the sake of a better quality of life for future doctors.

There is a high prevalence of burnout among Jazan’s medical students.