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The purpose of this research is to determine how supply chain management (SCM) might be less affected by COVID-19 by using innovative technologies such as the Internet of Things (IoT), eco-friendly corporate practices and other digital advancements. It strongly emphasizes the use of technology to improve supply networks’ and Omani firms’ performance.

Using a mixed-methods research strategy, this study integrates both qualitative and quantitative approaches. It involves a survey and interviews with supply chain and IT managers from various industries in Oman to gather data and evaluate the impact of technology on SCM.

This study finds that IoT capabilities, smart technologies (STs) and green practices significantly mitigate COVID-19 impacts on SCM. The performance of the supply chain and the business are both improved by these technologies’ positive effects on integrating various supply chain elements, such as suppliers, internal processes and customer relations.

The main constraint of this study is its concentration on businesses in Oman, potentially restricting the applicability of its findings to broader contexts. Future studies could investigate similar frameworks across various geographic and industry settings.

The findings suggest that incorporating STs into SCM is crucial for enhancing operational efficiency and resilience against disruptions such as COVID-19. This offers valuable insights for managers and policymakers in adopting technology-driven strategies for SCM.

This study highlights the significant role of technology in sustaining supply chains during pandemics, thereby supporting economic stability and societal well-being. It underscores the importance of technological advancements in maintaining supply chain continuity in challenging times.

By empirically examining the effect of emerging technologies on enhancing SCM in the context of the COVID-19 pandemic, specifically in the Oman market, this research makes a unique contribution to the body of knowledge.

The study aims to investigate the firm reaction to external pressures and the subsequent transformation to green innovation (GI) and sustainability, leading to an enhanced circular supply chain performance. The research examined the effect of coercive, normative and mimetic pressures on GI within the Indian tire industry context.

The authors have designed a self-administered questionnaire and received 283 responses. Nonresponse bias analysis was conducted first before proceeding to other assumptions such as constant variance and normality. The confirmatory factor analysis was used to check the data’s integrity and reliability. The PLS-structural equation modeling (SEM) is used to validate the constructs and test the established hypotheses.

External regulatory pressures significantly impact the tire industry’s move towards GI. Normative pressures from societal expectations and industry standards, along with mimetic pressures where companies emulate best practices, both drive the industry toward sustainable initiatives. Further, a clear positive relationship emerges between GI and sustainable supply chain practices (SSCP). This shift emphasizes recycling, reusing and reducing waste and showcases the industry’s commitment to minimizing its environmental impact.

Unlike existing literature that predominantly explores SSCP, the study introduces an integrated framework that intertwines institutional pressures (IP), green innovation (GI), and SSCP to elevate circular supply chain practices (CSCP). The current study highlights the relationships and practical implications within the Indian tire industry.

The massive adoption of virtual reality (VR) applications has started since the COVID-19 pandemic, and until now, VR applications are still being used. However, there is limited research that analyses the consumer's perspective on the adoption of VR applications. Thus, this study discovers the adoption of VR applications in the hospitality sector by integrating the value-based adoption model (VAM) and VR quality.

The data were gathered through a survey of 500 respondents and evaluated through the structural equation model-partial least squares (SEM-PLS).

Employing SEM-PLS and importance-performance map analysis (IPMA), the findings revealed that VR quality and perceived value are essential determinants in the adoption of VR applications in the hospitality industry.

Practically, this study encourages the hospitality industry to create and develop high-quality VR application technology to benefit visitors. Through this study, hospitality marketing managers, governments and others concerned with the hospitality industry’s future development can create effective ways to increase the adoption of VR applications in this industry.

This study offers novel perspectives into the theory and application of VR quality and VAM in the adoption of VR applications in the hospitality industry.

Although technologies such as blockchain (BCT) hold great potential to improve global food supply chains (GFSCs), our understanding of BCT use in GFSCs remains limited. The purpose of this study is to broaden BCT discussions by exploring its benefits and challenges across the entire GFSC.

Qualitative interviews with 23 industry experts were used to identify and comprehend the nuanced issues with BCT application in GFSCs.

The study identifies 21 perceived benefits and challenges with BCT use in GFSCs, including the benefit of broader data incentives beyond BCT use and the challenge of reluctance to assume dominant roles among the GFSC actors.

While prior studies mostly focused on BCT use for traceability and food safety in the GFSC midstream, this study extends the scope to include upstream and midstream actors. It highlights socio-economic benefits for traditionally disadvantaged farmers in the upstream and normative challenges to its adoption in the GFSC midstream and downstream. It also identifies three paradoxes emerging with BCT use in the GFSCs including the paradoxes of food technology, transparency and de-centralization.

The purpose of this study is to establish a grey-entropy-catastrophe progression method (CPM) model to assess the photovoltaic (PV) industry chain resilience of Jiangsu Province in China.

First, we designed the resilience evaluation index system of such a chain from two aspects: the external environment and internal conditions. We then constructed a PV industry chain resilience evaluation model based on the grey-entropy-CPM. Finally, the feasibility and applicability of the proposed model were verified via an empirical case study analysis of Jiangsu Province in China.

As of the end of 2022, the resilience level of its PV industry chain is medium-high resilience, which indicates a high degree of adaptability to the current unpredictable and competitive market, and can respond to the uncertain impact of changes in conditions effectively and in a timely manner.

The construction of this model can provide reference ideas for related enterprises in the PV industry to analyze the resilience level of the industrial chain and solve the problem of industrial chain resilience.

Firstly, an analysis of the entire industrial chain structure of the PV industry, combined with its unique characteristics is needed to design a PV industry chain resilience evaluation index system. Second, grey relational analysis (GRA) and the entropy method were adopted to improve the importance of ranking the indicators in the evaluation of the CPM, and a resilience evaluation model based on grey-entropy-CPM was constructed.

This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.

The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.

The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.

For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.

The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.

This study aims to examine the association between women on board and business performance. It also aims to investigate the impact of corporate social responsibility (CSR) and female directors on stock prices, including the function of female directors in moderating the CSR–market performance link that ultimately provides valuable insights into the impact of gender diversity on corporate boards.

Data from US publicly listed firms between 2000 and 2018 were collected and analysed using OLS regression, median regression, M-estimator regression and MM-estimator regression at 70% and 95% efficiency. In this study, firm market value was measured through Tobin’s Q, board diversity with ISS database and CSR strength and concern with the KLD database.

The results indicated that CSR positively impacts market performance by 3.1%, female board representation positively influences market performance by 4.8% and female board members strengthen the CSR–market performance relationship by 1.0% while playing a moderating role. Overall, these studies demonstrated the significance of female boards of directors for enhancing market performance.

This study used the data of US-listed firms from 2000 to 2018. The results have contributed to the ongoing discussion about the importance of gender diversity in boards and its influence on firm success. Further research works are suggested to expand the analysis by including other countries or considering additional factors that may influence the association between CSR, board representation of women and market share.

This study is essential for investors, legislators and CSR institutions in developed countries. The favourable impact of female board presence on market performance and the enhancement of the CSR–market performance relationship highlight the necessity of encouraging gender diversity on boards of directors and CSR activities.

This study emphasises the significance of gender balance on corporate boards in solving important social challenges including climate change, resource scarcity and gender equality. Companies can actively assist in addressing global issues and improving the well-being of stakeholders by promoting gender-diverse boards and encouraging CSR efforts.

To the best of the authors’ knowledge, this study is the first study demonstrating that gender diversity on corporate boards moderates the significant association between CSR performance and profitability in the USA. It has contributed to the expanding body of information regarding the moderating influence of female directors on firm value and stronger evidence for female directors in the governance of businesses.

This study aims to examine the direct and indirect influence of electronic word of mouth (eWOM) on green cosmetics purchase intention of young Vietnamese female consumers through health concern, environmental concern and the theory of planned behavior (TPB) factors.

Data were collected from a survey of Vietnamese young female consumers that were analyzed using a partial least squares structural equation modeling.

The results reveal that eWOM has a direct effect on consumers’ purchase intention of green cosmetics. Among TPB factors, attitude was a greater influential predictor of purchase intention than subjective norms. However, the influence of perceived behavioral control on purchase intention was not supported. There were significant indirect effects of eWOM on purchase intention through the mediation of health concern, environmental concern and attitude.

Therefore, the findings of this study are relevant for marketers and managers as they provide valuable insights into understanding the motivational factors of consumers’ green cosmetics purchase intention. The results highlighted that eWOM could increase young female consumers’ environmental concern and health concern, which, in turn, influence a positive attitude toward green cosmetics. Hence, eWOM is a powerful vehicle for environmental and health messages; also, it can be an important channel of sensitization toward environmental and health issues and motivation of proenvironmental behavior and healthy lifestyle.

The study contributed to the literature by confirming the utility of the TPB model in predicting young women’s green cosmetics purchases in the context of Vietnam, an emerging market, which has largely been overlooked in the literature. The findings show that eWOM has a direct influence on green cosmetics purchase intentions of young Vietnamese female consumers and indirectly eWOM through health concern, environmental concern and two TPB factors (attitude and subjective norms).

This interdisciplinary study re-evaluates the Sungai Melaka flood mitigation project’s impact on community success in Malaysia’s UNESCO World Heritage site, broadening the definition of success considering historical and cultural significance. This study aims to revisit success metrics, focusing on the project’s influence on people’s interactions, cultural well-being, social cohesion and heritage preservation.

This study explored visitors’ reviews of their experience visiting Sungai Melaka in several data collection stages. The first data collection involved a Web survey posted on Facebook to capture diverse perspectives of the population and grasp the core strand of knowledge to focus on the second data collection, the questionnaire. The final stage involved interviews to generate rich qualitative data.

The findings of this study revealed that the impact exceeded tangible outcomes, as the project impacted people’s interactions and practices. This research assesses cultural benefits, incorporating these indicators into evaluating cultural ecosystem services by capturing local visitors’ and communities’ perceptions, preferences and behaviours. The findings found that other project success attributes include identities, capabilities and experience, further defining learning, health, economics, connection to nature and symbolism.

This research explores the meaning of project success beyond the traditional metrics by capturing success from the users’ perspectives and people’s interaction and their impact on culture and well-being. The cultural ecosystem services framework used in this study is applied to explore the interactions between people and the facility and its effect on the people.