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The recognition of housing as an essential requirement in enhancing the quality of life of an individual has increasingly captivated scholars’ interest, particularly within the context of sustainability. However, the identification of suitable attributes of sustainable housing to be prioritized encountered challenges due to a lack of effective approach in addressing uncertainties and stakeholders’ interests. This study attempts to identify critical attributes of sustainable housing in rural areas and explore their interrelationships.

Six dimensions and 54 criteria are proposed and validated using the expert linguistic preferences through the Fuzzy Delphi Method. The Fuzzy Decision-Making Trial Evaluation Laboratory is also applied to determine the interrelationship between those attributes.

The result demonstrates that economic benefits strongly impacted social implications for sustainable housing. The top criteria, including government participation, reduced life cycle cost, environmental protection and local authorities’ participation, are considered to assist housing stakeholders for better sustainable practices.

To the best of the authors’ knowledge, this is one of the first studies addressing the interrelationship among sustainable housing attributes through linguistic preferences in the context of rural areas.

Explore the impact of Party organization embedding on firm green governance.

The regression analysis method.

The findings show that Party organization embedding significantly enhances the green governance effects of firms, with this effect being more pronounced in environments with high-quality internal control. Moreover, the study reveals that Party organization embedding facilitates green governance through mechanisms such as reducing agency costs and optimizing management decisions. Agency costs have a negative transmission effect, while management decisions have a positive transmission effect, with the quality of internal control playing a crucial moderating role.

Most existing studies on firm green governance have focused on aspects such as the heterogeneity of management teams (Liu, 2019; Wu et al., 2019), executive green cognition (Fineman and Clarke, 1996; Huang and Wei, 2023), organizational structure and the involvement of controlling families (Bertrand and Schoar, 2006; Symeou et al., 2019), with limited attention to the unique role of Party organizations’ incentive and restraint mechanisms, supervisory power and management functions in firm green governance. Additionally, while scholars have examined the impact of political embedding in firms, including Party organization embedding as a specific form of political embedding, and find that it affects various aspects of business performance (Chang and Wong, 2004; Gu and Yang, 2023), governance quality (Li et al., 2020; Huang and Yang, 2024), agency costs (Qian, 2000; Wang and Ma, 2014), excessive management compensation (Chang and Wong, 2004; Chen et al., 2014), social externalities and audit needs (Faccio, 2006; Cheng, 2022), there is still insufficient discussion on how Party organization embedding promotes firm green governance. Particularly in the context of China’s unique system and using Chinese data, there is a need for more in-depth research on the impact of Party organization embedding on firm green governance. This paper addresses this research gap by empirical analysis.

Overall, this study has significant theoretical and practical implications. Theoretically, it enriches the literature on Party organization embedding and firm green governance, filling a gap in the intersection research of firm governance and green governance. Practically, on the one hand, this paper’s findings demonstrate that the involvement of Party organizations in firm governance plays a significant role in enhancing green governance. This supports the modernization of firm governance in China, establishes a micro-level foundation for achieving the strategic goals of “carbon peaking and carbon neutrality” and offers empirically-backed insights into green transformation for policymakers. The research also provides practical policy recommendations for strengthening Party building efforts within firms and optimizing government-business relations, thereby facilitating the deep integration of Party building with business operations. On the other hand, this study highlights that the unique feature of China’s corporate governance system, Party organization embedding, can effectively enhance green governance. This offers empirical support for leveraging the strengths of China’s firm governance model and provides valuable governance strategies for firms in other countries and regions to improve their green governance practices.

This study’s social implications are significant as it highlights the broader societal benefits that arise from integrating Party organization involvement into firm governance structures, especially within the context of green governance. By improving the green governance practices of firms, Party organization embedding helps to address pressing environmental issues such as pollution, carbon emissions and resource depletion, which ultimately contributes to healthier living environments and a more sustainable society. The emphasis on green governance supports China’s national strategy for sustainable development and demonstrates a governance model that balances economic growth with environmental stewardship. Additionally, the study underscores the role of Party organizations in fostering social responsibility, equity and cohesion by ensuring that firm decision-making aligns with both economic and social welfare goals. This model of governance provides a framework that can serve as a reference for other countries and regions looking to enhance environmental protection efforts while maintaining social stability and economic progress.

This study offers original insights by exploring the distinctive role of Party organization embedding in enhancing firm green governance within the unique context of China’s political and economic systems. Unlike previous research, which has primarily focused on conventional governance structures, this paper delves into the underexplored area of how Party organizations influence firm-level green governance. By examining the direct and indirect effects of Party organization embedding, this study expands current understanding of corporate governance models that integrate political structures, providing a novel perspective on how firms can achieve both economic and environmental objectives. The findings not only contribute to the literature on green governance but also present a valuable model for emerging economies that are pursuing sustainable development. This research thus provides a meaningful addition to the dialogue on corporate governance innovation and environmental responsibility.

This paper aims to address the challenges in hydroacoustic signal detection, signal distortion and target localization caused by baseline drift. The authors propose a combined algorithm that integrates short-time Fourier transform (STFT) detection, smoothness priors approach (SPA), attitude calibration and direction of arrival (DOA) estimation for micro-electro-mechanical system vector hydrophones.

Initially, STFT method screens target signals with baseline drift in low signal-to-noise ratio environments, facilitating easier subsequent processing. Next, SPA is applied to the screened target signal, effectively removing the baseline drift, and combined with filtering to improve the signal-to-noise ratio. Then, vector channel amplitudes are corrected using attitude correction with 2D compass data. Finally, the absolute target azimuth is estimated using the minimum variance distortion-free response beamformer.

Simulation and experimental results demonstrate that the SPA outperforms high-pass filtering in removing baseline drift and is comparable to the effectiveness of variational mode decomposition, with significantly shorter processing times, making it more suitable for real-time applications. The detection performance of the STFT method is superior to instantaneous correlation detection and sample entropy methods. The final DOA estimation achieves an accuracy within 2°, enabling precise target azimuth estimation.

To the best of the authors’ knowledge, this study is the first to apply SPA to baseline drift removal in hydroacoustic signals, significantly enhancing the efficiency and accuracy of signal processing. It demonstrates the method’s outstanding performance in the field of underwater signal processing. In addition, it confirms the reliability and feasibility of STFT for signal detection in the presence of baseline drift.

This research utilizes the Panel FMOLS (fully modified ordinary least square) and DOLS (dynamic ordinary least square) techniques to analyze the influence of tourism on the level of female employment across several sectors, including agriculture, services and industry, in Central Asia (CA) nations from 2000 to 2021. It finds a significant positive correlation between economic development, trade openness and female employment. Conversely, the increase in tourist arrivals and the urbanization process have a positive and statistically significant effect on the unemployment rate. Based on the findings of the sectoral study, it can be seen that tourism has a statistically significant positive influence on the level of women's work within the service and industrial sectors. Conversely, the association between tourism and women's employment in the agriculture sector demonstrates a statistically adverse effect. The study's results suggest that authorities should prioritize implementing initiatives aimed at enhancing tourism throughout the countries in CA.

Previous studies have mostly estimated there to be a symmetric effect in the Foreign direct investment (FDI) inflow regarding the economic growth of Central, East and Southeast European (CESEE) countries. However, for the CESEE countries, as well as for the majority of countries around the world, there has been no study that has estimated the symmetric and asymmetric effect of outward FDI on economic growth. The main objective of this study is to estimate whether the relation between outward FDI and economic growth in CESEE countries is symmetric or asymmetric.

This study includes a sample based on eight CESEE countries. The authors used the linear and non-linear autoregressive distributed lag (ARDL) model and annual data for the period from 1990 to 2020.

In the long run, in the linear ARDL model, a significant symmetrical effect due to OFDI on the economic growth of Romania and Slovenia was found, while in the non-linear ARDL model, a significant asymmetric effect of OFDI on the economic growth of Bulgaria, Poland, Romania, Russia, Slovenia and Slovakia was found. In six out of the eight countries, asymmetry was found while symmetry was found in the other two. Poorer symmetry results can be ascribed to the lack of linear model neglecting the asymmetric behaviour of the positive and negative change decomposition as part of the OFDI movement, which leads to the wrong conclusion.

This is the first study to evaluate the asymmetric effect of outward FDI on the economic growth of eight CESEE countries.

COVID-19 has dramatically changed consumer behaviour and has significantly changed all business processes. Business organisations must be able to deal with the pandemic and rapid pace-based changes to enable flexible remote purchases. In this survey, the purpose of the inventory management strategy is to be considered, and the next one is to identify the design change based on the three main factors: economic order quantity, just-in time, and supplier partnership. The model in this study was built on HCMs or hierarchical component models by placing the 3 main factors as a higher-order construct (HOC) with 11 lower-order constructs (LOCs) that compose each higher construct. The findings in this study show that Inventory Shortages, Just-in Time Delivery by Supplier (JITDS), and Suppliers’ Quality (SQ) are the most significant forming components for each construct. The findings can be used to reference the academic and practical reorganisation of inventory management strategies. By empirically investigating the relationship between inventory management strategy components and operational performance, this study contributes to the on-going scholarly discussion on the link between inventory management strategy components and operational performance.

The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited, resulting in businesses being less responsive. The digital retail landscape is undergoing a transformative revolution, driven by Industrial Revolution (IR) 4.0 technological advancements such as artificial intelligence (AI), wearables, virtual reality (VR), augmented reality (AR), and blockchain technology. This development focuses on convenience, personalisation, and emotional connections. Companies are adapting to modern consumer behaviour through various strategies, including online shopping, mobile commerce, data analytics, technology integration, user reviews, and contactless payments. The COVID-19 pandemic has accelerated this seismic shift in the retail industry, and online retail is expected to continue to grow post-pandemic, driven by these technologies. AI enhances the customer experience, wearables provide interactive engagement, VR offers immersive shopping, AR merges online and physical shopping, and blockchain ensures secure transactions in the emerging metaverse. As retail converges with the metaverse, the potential for borderless and personalised shopping experiences is enormous. Advances in VR technology could lead to interconnected virtual spaces that seamlessly connect physical and digital retail, providing immersive and personalised shopping experiences. However, challenges such as cost, learning curves, digital security, legal ambiguity, data privacy, financial risk, and ethical considerations need to be addressed through vigilant and informed consumer engagement in this evolving digital landscape.

Purpose: This study is the complex interplay among corporate social responsibility (CSR), governance, and ethics in the context of tourism management in India. It shows us how businesses engage in sustainable practices that contribute to social economics tourism.

Methodology: This research takes a multi-face approach, theoretical framework, and practice case study to indicate the relationship based on the CSR corporate governance, and business ethics. The study shows that the real case study in Jaipur and Indore.

Research limitations and implications: Given the limitations of the case study research, such as potential basis and limited generalization, this study is necessary for future empirical investigation to validate and expand upon the findings presented here.

Social implications: The chapter discusses the societal significance of business practices. It promotes greater corporate engagement in addressing social, environmental, and economic challenges by showing the positive impact of CSR initiatives on local communities.

Findings: Through case studies and empirical analysis, this chapter reveals how CSR initiatives can improve corporate governance, promote ethical business practices, and positively impact the local economy and environment. It also shows how important evidence-based decision-making matters.

Originality/value: In India's tourism management context, this chapter comprehensively examines corporate governance, business ethics, and CSR. Its usefulness provides practical insights into the practical ramifications of responsible business practices.

Encouraged by a variety of stakeholders and the benefits that could derive from corporate social responsibility (CSR), multinational corporations (MNCs) are increasingly concerned with limiting the social and environmental costs of their operations. Yet, they are often accused of not walking the talk on sustainability. Since offshoring and outsourcing became mainstream in international business, concerns have particularly emerged around MNCs’ ability to implement credible and efficient sustainability strategies along increasingly complex and dispersed global supply chains. Evidence on the effectiveness of private initiatives to socially and environmentally upgrade supplier practices remains mixed, and the different insights from the literature, siloed. This work aims to provide a survey of the literature documenting the challenges MNCs face trying to implement more sustainable policies in supplier networks located in developing countries, where sustainability standards and certifications are likely to be poorly enforced. We integrate insights from multiple disciplines, provide an overview of the existing body of research on the topic, and propose an analysis structured around three recurring themes: the policy tools available to MNCs and their limitations, the obstacles to suppliers’ compliance, and the different governance mechanisms available to MNCs to shape their suppliers’ practices. By providing a comprehensive picture of CSR policy implementation challenges, we contribute to practice and highlight potential avenues for future research.

Customer resource allocation efficiency (RAE) refers to the ability of customers to use, allocate and manage their available resource inputs to produce valuable outputs. This study draws on organizational entrainment theory (OET) to examine how the implementation of supplier digitalization affects customer RAE through supply chain entrainment.

Based on supplier and customer data disclosed by Chinese A-share listed firms from 2009 to 2022, this study uses fixed effects panel data models to empirically examine the impact of supplier digitalization on customer RAE and the mechanistic role of supply chain entrainment.

The results show that supplier digitalization significantly increases customer RAE. It improves RAE by influencing the three dimensions of supply chain entrainment (the bullwhip effect, inventory management coordination and risk management coordination).

This study provides important insights into how managers can adapt the external digital environments and maintain synchronous operations with their supply partners. Our findings demonstrate how managers can fully leverage the advantages of digitalization of their suppliers to improve their own RAE through supply chain entrainment strategies.

This study introduces the concept of supply chain entrainment to reveal how firms optimize their own resource allocation strategies and achieve efficient operations. Our research enriches the understanding of supply chain governance in the digital age and contributes to the literature on supply chain digitalization.