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The aim of this study is twofold. First, this study examines the effect of fiscal policy on sustainable development in sub-Saharan Africa (SSA). Second, this study also investigates the moderating role of information and communication technology (ICT) in fiscal policy–sustainable development nexus in SSA.

This study adopted a battery of econometric techniques such as the ordinary least square (OLS), the two-step system generalized method of moments, Driscoll and Kraay covariance matrix estimator and the dynamic panel threshold model.

This study found that fiscal policy, except for public spending on education do not promote sustainable development in SSA. However, the authors found that ICT promotes sustainable development in SSA, and that when fiscal policy interacts with ICT, the results show that ICT enhances the effectiveness of fiscal policy to promote sustainable development in SSA. Furthermore, this study uncovers the optimal levels of public spending on health and education, and public debts that engenders sustainable development in SSA. The research and policy implications are discussed.

This study assessed the role of ICT in fiscal policy–sustainable development nexus.

The hospitality industry has been debating the merits of sustainable tourism for some time, but more and more people are becoming interested in regenerative tourism. The concept of regenerative tourism goes beyond that of sustainable tourism in that it seeks to restore and regenerate both the natural environment and the communities in which it operates. The Chinese hospitality industry has been expanding at a rapid rate and has the potential to adopt practices that are associated with regenerative tourism. This chapter investigated the hospitality industry of China and the shift from sustainable tourism to regenerative tourism. Consumer expectations, government programmes, and AI are driving this shift from sustainable to regenerative tourism. Despite the challenges of transitioning tourism from sustainable to regenerative, many Chinese initiatives and programmes are helping the environment and communities.

This study aims to investigate environmental efficiency based on energy change by using energy-related or nonenergy-related variables by reckoning with months and years as decision-making units (DMUs) for a hospital under radial and nonradial models.

The non-oriented slack-based measures (SBM)-data envelopment analysis (DEA) model considering desirable and undesirable outputs has been embraced in this study, where its obtained results were compared with the results of other DEA models are output-oriented SBM-DEA and Banker, Charnes, & Cooper-DEA. For this purpose, this research has used a data set covering the 2012–2018 period for a reference hospital, which includes energy-related and nonenergy-related variables.

The results demonstrate that environmental efficiency based on energy reached the highest level in the winter months, whereas the summer months have the lowest efficiency values arising from the increasing electricity consumption due to high cooling needs. According to results of the non-oriented SBM model, the month with the highest efficiency in all periods is January with a 0.936 average efficiency score, the lowest month is August with a 0.406 value.

This paper differs from other studies related to energy and environmental efficiencies in the literature with some aspects. First, to the best of the authors’ knowledge, this study is the first one that takes into account time periods (months and years) as (DMUs for a single organization. Second, this study investigates environmental nonefficiencies, which are derived from energy uses and factors affecting energy use.

A wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have hampered efforts to obtain a clear understanding of what truly influences online self-disclosure. To address this gap, this study draws on the antecedent-privacy concern-outcome (APCO) framework in a one-stage meta-analytical structural equation modeling (one-stage MASEM) study to test a nomological online self-disclosure model that assesses the factors affecting online self-disclosure.

Using the one-stage MASEM technique, this study conducts a meta-analysis of online self-disclosure literature that comprises 130 independent samples extracted from 110 articles reported by 53,024 individuals.

The results reveal that trust, privacy concern, privacy risk and privacy benefit are the important antecedents of online self-disclosure. Privacy concern can be influenced by general privacy concern, privacy experience and privacy control. Furthermore, moderator analysis indicates that technology type has moderating effects on the links between online self-disclosure and some of its drivers.

First, with the guidance of the APCO framework, this study provides a comprehensive framework that connects the most relevant antecedents underlying online self-disclosure using one-stage MASEM. Second, this study identifies the contextual factors that influence the effectiveness of the antecedents of online self-disclosure.

This study aims to assess green food packages’ role in sustaining a restaurant’s curbside pickup service on three stages of consumer experiences: choosing a restaurant, evaluating their experiences of a recent purchase and weighing their post-consumption behavioral intentions after the recent purchase.

The service encounters framework and relevant literature guided the development of the questionnaire. A Qualtrics panel data of 314 valid questionnaires were collected and analyzed with choice experience, ordinary least squares regression and PROCESS modeling.

First, word-of-mouth (WOM) and function encounters significantly influence consumers’ first-time curbside pickup purchasing decisions. Then, service results encounter (besides distributor encounter) most significantly affects consumers’ overall curbside pickup experience. Finally, green food packages increase consumers’ shares of future purchases through their positive WOM intentions and extra efforts of revisiting the restaurant. Consumers’ perceived importance of green restaurant practices strengthens green food packages’ positive impact on extra efforts.

This study provides operational and marketing insights for restaurants to use food packages and sustain their curbside pickup service.

Besides assessing consumers’ evaluations and behavioral intentions for an off-premises restaurant service expected to stay beyond the pandemic, this research uniquely focuses on green food packages, a sustainability issue lacking research attention. The findings add new empirical insights to studies about sustainability and restaurant/food–retail operations.

This study discusses the protection of traditional villages and understand the role, policy environment and characteristics of traditional village protection. This study also constructs an analytical framework of “historical timing - policy orientation” to study the development process and policy evolution of traditional village protection in China.

This study selects the policy documents related to traditional village protection since 1980 as the research samples to explore the origin and evolution of traditional village protection in China. Then, the paper systematically combs the temporal evolution of the policy theme and orientation at each stage, which would provide a reference direction for the protection and development of traditional villages.

The interpretation of traditional village protection and its institutional background can be divided into three stages: relying on the protection system of historical and cultural towns and villages (1982–2012) and the stage of construction and improvement of traditional villages protection system (2012–2017). After 2017, traditional village protection entered a new rural revitalization journey.

This study is limited to: documents issued from 1982 to the end of 2022; Central Committee of the Communist Party of China, the State Council, and central ministries and administrations directly governing the protection of traditional villages; policies that can directly reflect the central government’s attitude towards protecting traditional villages; and excluding the documents for some particular regions and particular problems.

This study fulfills as the guidance of traditional village protection and development in different periods.

The research aims to develop an assessment framework that evaluates critical success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms.

The authors use the fuzzy-Delphi method to validate the results of a systematic literature review (SLR) that explores critical aspects. Further, the fuzzy decision-making trial and laboratory (DEMATEL) method determines the cause-and-effect link. The findings indicate that developing a Q 4.0 framework is essential for the long-term success of manufacturing companies. Utilizing the power of digital technology, data analytics and automation, manufacturing companies can benefit from the Q 4.0 framework. Product quality, operational effectiveness and overall business performance may all be enhanced by implementing the Q 4.0 transition framework.

The study highlights significant awareness of Q 4.0 in the Indian manufacturing sector that is acquired through various means such as training, experience, learning and research. However, most manufacturing industries in India still follow older quality paradigms. On the other hand, Indian manufacturing industries seem well-equipped to adopt Q 4.0, given practitioners' firm grasp of its concepts and anticipated benefits, including improved customer satisfaction, product refinement, continuous process enhancement, waste reduction and informed decision-making. Adoption hurdles involve challenges including reliable electricity access, high-speed Internet, infrastructure, a skilled workforce and financial support. The study also introduces a transition framework facilitating the shift from conventional methods to Q 4.0, aligned with the principles of the Fourth Industrial Revolution (IR).

This research exclusively examines the manufacturing sector, neglecting other fields such as medical, service, mining and construction. Additionally, there needs to be more emphasis on the Q 4.0 implementation frameworks within the scope of the study.

This may be the inaugural framework for transitioning to Q 4.0 in India's manufacturing sectors and, conceivably, other developing nations.

Employee’s innovative behavior as a team allows the organization to achieve its goals; however, team green creativity requires transformational and entrepreneurial leader support. Therefore, the study explores the impact of green transformational and entrepreneurial leadership on team innovative behavior and green new product development with the mediating role of team green creativity.

A survey was conducted to collect data from 455 employees working in the hospitality industry via a self-administered questionnaire, and hypotheses were analyzed using the partial least squares structural equation modeling PLS-SEM technique using Smart-PLS 4.0.

The results indicate that green transformational and entrepreneurial leadership styles positively and significantly affect team innovative behavior and new green product development performance. Furthermore, findings show that team green creativity partially mediates the relationship between green transformational and entrepreneurial leadership on team innovative behavior, and new green product development performance.

The results of this study provide insights to hospitality professionals pursuing the improvement of team innovative behavior and new green product development performance through team green creativity and leadership styles.

This study is useful for organizations that target new green product development performance and establish higher green innovative behavior cohesively among its team members through these robust leadership styles.

This study is the first attempt to provide a valuable contribution to the growing field of green leadership styles on team innovative behavior and new green product development performance through team green creativity.

The purpose of this study is to use the grounded theory to summarize the types of celebrity persona and to construct a theoretical model for celebrity persona on consumer purchase intention. Based on the study results, it provides better suggestions for merchants and live streamers and is an expansion of previous research on live-streaming e-commerce.

The grounded theory is recognized as the most scientific qualitative research method and is the ideal explorative method for generating theory. First, the participants were interviewed, and interview data were collected. Then the interview data were organized and analyzed. Finally, this paper summarizes the types of celebrity persona and constructes a theoretical model framework of celebrity persona on consumers' purchase intention.

The results show that the celebrity live streamer persona can be divided into two types: personalized persona and professional persona. Through emotional attachment, the celebrity's persona affects the consumer's purchase intentions. As well as, product type plays a moderating role between celebrity persona and consumer purchase intentions.

The contribution of this research is to start from the celebrity persona, link the celebrity persona with the consumer purchase intentions and expand the research scope of the celebrity persona. It opens the “black box” of the heterogeneity of celebrity live streamers' characteristics on consumer purchase intentions.

The research investigates how green bonds and Fintech contribute to advancing sustainable energy adoption in India while addressing the intricate investment risks associated with green initiatives.

This study employs a stringent approach, conducting an extensive examination of data to analyze the interplay among green bonds, Fintech, and the renewable energy industry in India.

The study unveils Fintech’s capacity to optimize financing for renewable projects in India by leveraging blockchain technology and digital platforms, enhancing accessibility and investor confidence. Additionally, it underscores the role of green bonds in fostering the development of eco-friendly energy sources.

This research offers novel insights into the dynamic relationship among green bonds, Fintech, and India’s renewable energy sector. It emphasizes the importance of adaptable regulatory frameworks in facilitating sustainability efforts and provides valuable guidance for stakeholders navigating environmental initiatives.