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The purpose of this paper is to highlight the characteristic role of specialized markets and traders in the internationalization of emerging economies by examining the linkages between supply chain management (SCM) and industrial clustering in China.

Multi-method approach was employed as primary data were collected from a case study of Shaoxing textile cluster, and was supplemented with secondary data to triangulate the findings. The proposition that competitive advantages of industrial clusters facilitate effective SCM was explored.

The authors reveal that China’s cost advantage is manifested in the entire value chain. The provision of business friendly amenities as a result of synergetic benefits of vertical and horizontal integration of supply clusters promotes competitiveness of SMEs and region as a whole. Moreover, specialized markets and international traders found to play significant role in sustainable cluster development.

As with fieldwork and case studies, generalization should be drawn with care. Systematic synthesis of relevant case studies is recommended.

The study endorses the construction of local supply chains and suggests implementation of cluster strategy by focusing on environment-specific execution of triple helix model.

The article elaborates the linkages between cluster theory and SCM both within cluster and between interspersed clusters. It also explains how specialized markets and global players are enabling concentrated supply networks. The paper recommends extension of “Triple helix + 1 model” by making local community part of the underlying framework.

Pakistan lies between latitudes 24° 37′ N and longitudes 62° 75′ E, covering a total land area of 796,096km². The country shares its borders with Iran to the west, India in the southeast, Afghanistan in the northwest, and China in the north. The Arabian Sea lies to its south (UNISDR, 2005; Khan, 2004d). The country has four provinces: the Punjab, the North West Frontier Province (NWFP), Sindh, Baluchistan, and two federally administrated territories – the Federally Administered Tribal Areas (FATA) and the Northern Areas. The Northern Areas have been recently given the status of Gilgit-Baltistan province. The structure of the provisional government is still in its formation stage. In addition, the territory of Azad Jammu and Kashmir (AJK) is under the administration of the government of Pakistan. Each province or territory is further divided into administrative units known as districts (GOP, 2003; Khan, 2004d).

The study investigates how Green Human Resource Management (GHRM) influences employee green behavior and wellbeing. It specifically explores the impact of organizational-level GHRM on employees' organizational citizenship behavior towards the environment (OCBE) and subjective wellbeing, mediated by psychological contract fulfillment (PCF). The study also examines the moderating effect of environmental orientation fit.

The data were collected from two sources: managers (N = 67) and employees (N = 217) of readymade garment exporting firms in Pakistan. The analysis was conducted using HLM multilevel modeling software.

The findings indicate that PCF acts as a significant mediator in the association between GHRM, OCBE, and employee wellbeing. Furthermore, the results suggest that the positive impact of GHRM on PCF is more pronounced when there is a higher alignment with environmental orientation, compared to when the fit with environmental orientation is low.

To the authors' knowledge, this study is the first to explore the impact of organizational-level GHRM on employee-level organizational citizenship behavior towards the environment and their subjective wellbeing, particularly within the context of readymade garments. Furthermore, this research endeavors to offer managers a heightened understanding of the potential role of GHRM in fostering organizational citizenship behavior.

This study aims to examine how disruptive and incremental innovations mediate the link between corporate social responsibility (CSR) and financial performance from a dynamic capability perspective. Moreover, this study uncovers the moderating effect of business type on the CSR–innovation relationship.

The authors conduct a quantitative research design through surveying 536 managers of enterprises in Vietnam.

The findings show the crucial mediating effect of disruptive innovation on the CSR–financial performance link. The authors observe that the influence of CSR on incremental innovation is stronger for state-owned businesses.

These findings offer valuable insights for firms aiming to align their CSR strategies with financial objectives and enhance their dynamic capabilities to drive innovation in rapidly changing business environment.

The purpose of this study was to comprehend the current state of green supply chain management (GSCM) and its drivers and enablers in the pharmaceutical supply chains (PSCs).

This study developed a model consisting of the factors green drivers, green enablers and green practices. For this study, data were collected from 166 supply chain heads from 124 pharmaceutical companies operating in India. The data was empirically analysed using SmartPLS3 software.

The study revealed that in Indian PSCs, public pressure, supplier pressure and competitor pressure were the major drivers for GSCM practices and coercive pressures such as pressure from government and regulatory bodies were insignificant drivers. The results indicated that the influence of green drivers and green enablers altered with supply chain flow. Green drivers indicated higher influence at the upstream of PSCs whereas the influence of green enablers was higher at the downstream of PSCs. Furthermore, the study revealed that the factor “green enablers” was a good mediator for the relationship between “green drivers” and “GSCM practices” in PSCs.

This study was an extension work with the addition of external green drivers to the self-induced organizational activities. Further investigations can be done by including the “green barriers” construct in the conceptual model.

This research connected the institutional theory with the resource-based view to understanding the role of green drivers and green enablers in greening PSC. For managers and regulators, this study provided clear insights on how to approach different supply chain drivers and enablers to maximize the impact of GSCM practices. Moreover, the findings of this study helped in incorporating knowledge about GSCM into a framework that can be used for defining strategies for setting up a sustainable PSC for pharmaceutical products leading to the development and growth of the pharmaceuticals industry.

Most of the earlier studies on GSCM were at the firm level and some studies were at the supply chain level. To further enhance the scope of GSCM theory, this study was conducted at two different levels, first at the complete supply chain level and second at three different levels: upstream, firm-level and downstream.

This article aimed to propose and validate a roadmap to enhance the insertion of social sustainability practices in logistics activities considering the scenario of companies operating in Brazil.

The initial construction of the aforementioned roadmap was based on a detailed literature review and the fine-tuning as well as validation of it was carried out through a Delphi process developed with professionals specialized in the area of logistics and sustainability.

As main results, it is highlighted that the validated roadmap includes actions ranging from meeting and adapting legal issues related to sustainability, through the initial diagnosis of the company, motivation and awareness of the importance of social sustainability, followed by encouraging the inclusion of social sustainability practices in logistic activities, and finally, the identification of opportunities for improvement and establishment of execution plans within the organization. The phases and actions of the validated roadmap converge towards restructuring and redefinition of the organizational culture oriented towards meeting sustainable guidelines, and also contemplate the dynamics of seeking continuous improvement throughout all levels and sectors belonging to a given organization.

The originality of this study lies in the fact that the roadmap focuses on the inclusion of social sustainability practices in logistic activities, since, according to the literature, social aspects are still relegated to the background when compared to environmental and economic aspects.

The Quadrilateral Group for Security Dialogues (QUAD), comprising Japan, Australia, India, and the USA, has experienced a noteworthy escalation in both environmental depletion and economic performance over the preceding 2 decades. Consequently, it becomes crucial to outline strategies through which the QUAD can attain a harmonious equilibrium between sustainable economic growth and ecological well-being. This research endeavors to dissect the intricate relationships among trade globalization, regulatory quality, and environmental sustainability within the QUAD for the period 1990–2021. The study checks for the Pollution Haven Hypothesis (PHH), and Pollution Halo Effect Hypothesis (PHEH).

The long-run association is based on the autoregressive distributed lag (ARDL) model and bounds test approach to cointegration while divergence or convergence is studied with the help of decoupling index (DI). Results have been verified by applying serial correlation LM test, autoregressive conditional heteroskedasticity (ARCH), and cumulative sum of recursive residuals (CUSUM) tests to ensure the robustness and stability of the model.

The empirical results of this study affirm the applicability of the PHEH in the contexts of India, Japan, and the USA, whereas the PHH is validated in the case of Australia. Furthermore, the analysis reveals the existence of relative decoupling solely in the case of India. This testifies that the rate of growth of the Indian economy surpasses the rate of growth in ecological footprint (EF), indicating a relative reduction in the intensity of environmental impact per unit of economic growth.

The empirical findings of our study suggest that countries with effective regulatory systems are better positioned to control and mitigate the potential adverse environmental effects resulting from increased global trade. Thus, policymakers are prompted to reassess the development policies for sustainable economic growth that will minimize adverse environmental repercussions. The implication of the negative relation between urbanization and EF is paramount for policymakers in developing countries seeking strategies for balanced urban development that aligns with environmental sustainability.

The present study is a unique exploration of the impact of trade globalization and regulatory quality on EF, specifically on PHH/PHEH in the context of QUAD.

Drawing an inference from institutional theory and dynamic capabilities view, this study empirically examined the impact of three institutional dimensions (regulative, normative and cognitive) and green entrepreneurial orientation (GEO) on a business firm’s performance. In addition, the moderating effect of dynamic capabilities on the relationship between GEO and firm performance was also explored.

The data were collected from 527 information technology (IT) firms in Pakistan using paper–pencil questionnaires, and the hypotheses were tested using structural equation modeling.

The findings showed that the regulative and normative institutional dimensions enhance GEO and firm performance in the selected developing country. However, the cognitive institutional dimension fails to report any substantial influence on GEO and firm performance. The findings raised concerns about lower individual accountability as well as the promotion of green practices and firm performance. In addition, dynamic capabilities positively moderate the GEO influence on firm performance.

With the interplay of institutional dimensions, GEO (as mediator) and dynamic capabilities (as moderator), this study developed and tested a unique framework to understand their influence on firm performance. Specifically, we extended the literature by giving evidence that among the three institutional dimensions, only regulative and normative are considered more important because of their direct and indirect (through GEO) positive effect on firm performance. In contrast, the cognitive institutional dimension failed to report any significant direct or indirect impact on firm performance in our study.

This article examines dynamic volatility spillovers between stock index returns of four main hospitality sub-sectors in US during the coronavirus disease 2019 (COVID-19) pandemic. These are tourism and travel, hotel and lodging, recreational services and food and beverages. Volatility spillovers are explicitly used as accurate and informative proxies for risk contagion between sectors during turbulent times.

The authors employ dynamic conditional correlation-generalized autoregression heteroskedasticity (DCC-GARCH) and wavelet coherence analysis (WCA) to analyze the phenomenon. The authors’ timeframe is divided into three main sub-periods, namely the pre-pandemic, the first wave and the second wave periods.

This study’s results reveal immense negative shocks in returns of all four sub-sectors on the Black Monday (8th March 2020). Moreover, high volatility persistence was observed during both waves with an exception of tourism and travel which exhibited lower volatility persistence during the second wave. The authors discovered magnified contagion effects between tourism and travel, hotel and lodgment and recreational services during the first wave of the pandemic with tourism and travel being the main volatility transmitter. Lower magnitudes of spillovers were observed between food and beverages and other sub-sectors with a decoupling effect being evident during the second wave.

This study’s findings contribute to the contagion theory by providing evidence of disproportional volatility spillover among hospitality sub-sectors despite being exposed to similar turbulent economic conditions.

Crucial implications can be drawn from this study’s findings to assist in risk management, asset valuation and portfolio management. The importance of close monitoring, safety measures, international diversification and adequacy of liquid assets during health crises cannot be stresses enough for hospitality firms. Retail investors, speculators and asset managers can take advantage of this study’s findings to design trading strategies and hedge against risk.

A body of knowledge pertaining to effects of crises such as COVID-19 on hospitality stocks has been proliferating. Nonetheless, there is still a relative dearth of empirical literature on volatility spillover between hospitality sub-sectors especially during periods of rising economic uncertainties.

The research is geared towards studying the impact of “GDP per capita (GDP)”, “energy consumption (EC)”, “human capital (HC)” and “trade openness (TO)” on India's ecological footprint (EF) from 1997–1998 to 2019–2020.

The autoregressive distributed lag model (ARDL) bound test was used to look at the short-run and long-term coefficients and the cointegration of the variables.

The results depicted a long-run connection between the variables. The long-run results found a favourable relationship between GDP, EC and EF, indicating that economic growth through heavy reliance on fossil fuels contributes to environmental unsustainability. An inverse relationship between HC, TO and EF was also observed, indicating that education fosters pro-environmental behaviour and leads to adopting cleaner technology that contributes to environmental sustainability.

The research substantiates India's pressing requirement for sustainable development, ensuring a harmonious balance between economic performance and environmental preservation. A carefully designed policy needs to be formulated to mitigate emissions stemming from growth in India. Policymakers are urged to implement measures that promote ecologically friendly tools, utilities and transportation to curb long-term environmental degradation.

The study is novel, incorporating an exhaustive review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study further examines how India's EF is affected by its HC; the preceding literature has yet to discuss much about the connection between HC and the environment. Finally, the study employed advanced econometric techniques, namely the cointegration technique and ARDL model, to find the relationship between EF, GDP, HC, EC and TO.