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As the overflow of information accelerates the pace of life, people search for opportunities to escape from their fast-paced lifestyle by engaging in slower consumption. This research empirically tested the role of slow tourism experience (STE) in improving one’s well-being.

In Study 1, 205 qualified tourists participated. Exploratory factor analysis using principal component analysis with Promax rotation in SPSS v.26 was deployed to examine scale factors. Study 2 consisted of 460 tourists to test the conceptual model using partial least squares structural equation modeling. Multi-group analysis identified statistically significant differences between path coefficients in the structural models for males and females.

Results revealed a three-dimensional STE measure: deceleration, immersion and self-reflection. STE significantly impacted positive emotions and mediated tourist engagement and subjective well-being. Gender multi-group analysis indicated STE had a positive direct impact on SWB for male tourists; however, STE positively affected SWB through tourist destination engagement for female tourists.

The study was limited to tourists who had stayed at a destination. Future research may consider the different modes or mindsets that tourists use in designing their itinerary, length of stay, type of transportation, level of investment in the environment and culture.

Practitioners can distinguish tourism activities based on gender, focusing on engaging female tourists and triggering emotions for male tourists.

This is one of the first studies to operationalize and examine STE, extending the broad-and-build theory’s relevance in slow tourism research by revealing the effects of STE on tourists’ SWB.

This study aims to examine how higher education can overcome some of the psychological barriers to pro-environmental behavior among college students by cultivating growth mindset of nature and to investigate whether, how and when growth mindset of nature can enhance pro-environmental behavior.

A three-wave survey was conducted to collect quantitative data on growth mindset of nature, connectedness with nature, pro-environment behavior and pro-environmental school climate among 283 undergraduate college students at two universities in China. This study used the Process Macro for SPSS (models 4 and 14) to reveal the effects of direct, mediating and moderated mediation.

The findings showed that growth mindset of nature positively affected students’ pro-environment behavior. Moreover, growth mindset of nature contributed to pro-environment behavior through the beneficial effects of connectedness with nature. In particular, positive pro-environmental school climate strengthens the mediating effects of connectedness with nature on the relationship between growth mindset of nature and pro-environment behavior.

Growth mindset of nature provides a vital impetus for facilitating college students’ pro-environmental behavior so that universities can incorporate sustainable development, climate change and environmental sustainability into curricula to cultivate students’ growth mindset of nature. Furthermore, educators could develop students’ connectedness with nature through environmental education by directly exposing them to nature. Finally, the pro-environmental school climate is the essential social-environmental nourishment for college students’ pro-environmental behavior.

This study advances implicit theory by introducing implicit beliefs to the environmental realm. Meanwhile, this study solves the puzzle concerning why people are aware of increasingly serious environmental issues, yet few are really engaged in pro-environmental behavior. A second contribution lies in extending the application of the pro-environmental climates into educational contexts to uncover the “black box” of how growth mindset of nature promotes college students’ pro-environmental behavior. Finally, this study enriches the literature on connectedness with nature by exploring the mediating mechanism of connectedness with nature between growth mindset of nature and pro-environmental behavior.

The paper aims to provide a decision-support model to ensure a proper use of the limited resources, financial and not, for the enhancement of the cultural heritage and comprehensive development of small towns from sustainable perspective.

The assessment model is set up using a multi-criteria method that combines elements of linear planning with a performance indicators system that may represent the complexity of the territory’s cultural identity as a result of existing cultural-historical assets.

The model reliability is tested in a case study in a Municipality in southern Italy. The case study’s findings highlight the advantages for the public/private operators, who can consciously choose which preservation and restoration projects to fund while taking into account the effects those decisions will have on the economic, social and environmental context of reference.

Due to the suggested operational approach and the selection of variables for accounting economic, social and environmental impacts by the renewal project, the research findings may not be generalizable. Therefore, it is recommended that researchers look into the suggested theories in more detail.

The study offers implications for designing a user-friendly tool to help decision-making processes from a private–public viewpoint in a reasonable allocation of financial resources among investments for cultural property asset enhancement.

The suggested operational approach provides a reliable information apparatus to depict the decision-making process under small-town development in accordance with sustainability dimensions.

This article shows that business family and family business research is dominated by reductionist and biased concepts of culture that are in sharp contrast with recent advances in anthropology and the broader social sciences that would allow for more fine-grained analyses.

Through an inbound theorizing approach, state-of-the-art anthropological and sociological concepts of culture are introduced to family business research.

The resulting interdisciplinary update unveils that prevailing concepts of culture in family business research confuse cultures with countries or nations and neglect the processual constitution of culture.

The article advocates a research agenda emphasizing the social construction and reproduction of culture as well as the need to systematically draw on findings from anthropology and sociology so as to allow for better cross-cultural comparisons in the field of family business research.

This paper aims to explore the extent, nature and communication potential of companies’ use of three popular social media platforms (Facebook, X and LinkedIn) to report on sustainability.

Qualitative methodology through the use of the netnography approach was adopted to evaluate the use of social media for sustainability communication by the Top 50 ASX companies. Content analysis of all company posts determined those with social and environmental content. A thematic analysis was performed using the global reporting initiative (GRI) framework to examine the nature of the reporting. The media richness framework was used to measure the communication potential of the social media platforms for sustainability communication.

The results indicated that the extent of sustainability posts on social media represented less than 20% of total social media posts. The nature of posts by the Top 50 ASX companies was higher on social issues than on environmental issues, which is contradictory to many previous studies. The study also found that while the social media platforms afforded high levels of media richness, most companies failed to exploit the platforms’ full potential to disseminate sustainability information.

This work provides both empirical and theoretical contributions to the ongoing debate concerning the use of social media for sustainability communication. The paper extends Lodhia et al.’s (2020) study of social media use for legitimation purposes and adapts Lodhia’s (2004) media richness framework to social media for sustainability reporting. It adds empirical insights into social media’s communication potential and value for communicating sustainability information.

The extent and nature to which organisations use social media to disclose their sustainability performance has significant practical implications for a variety of stakeholders. The results reveal to these stakeholders and the companies themselves the level of utilisation of social media along with the potential that can be harnessed. These results can potentially improve the quantity, timeliness and usability of sustainability reporting using social media platforms.

The study provides valuable evidence to increase understanding of the sustainability social media communication landscape, which organisations can potentially leverage to communicate their messages. Additionally, sustainability awareness is increased across various demographics by disseminating sustainability information to the wider public. This study will assist policy-setters in developing guidance for using social media for sustainability reporting.

This study extends existing literature, particularly the Lodhia et al. (2020) study, which has primarily focused on examining sustainability content in the media with limited exploration of the communication potential of social media platforms to communicate sustainability content.

This study aims to explore the intersection of AI-generated learning materials and active learning strategies in higher education artificial intelligence (AI) is bringing about changes and opening up new possibilities for an improved and more efficient higher education. However, the argument is that its use in education/classroom should be informed by verifiable evidence as well as best practice, which this scholarly work helps build evidence-based research to assess this technology in higher education.

Primary data was collected through structured questionnaire administered online via Google form. Based on the non-probability sampling technique, 300 higher education tutors and students across the UK were purposively targeted, out of which 218 (72.7%) response rate was achieved. Data was analyzed using descriptive statistics with the aid of Statistical Package for Social Sciences, whereby regression, correlation and Chi-square tests were conducted to determine the statistical significance, direction and strength of the relationship between the measured variables.

This study revealed that AI-generated learning materials support active learning strategies that enable students to actively engage in their learning, likewise enabling students to develop deeper understanding of their course content with significantly better knowledge retention, which is critical to the learning process. However, findings further revealed that acceptance/regular use of AI-generated learning materials is still below par across the higher education institutions, and there is major concern that the benefits may not be fully realized due to barriers to adoption.

There are limitations that future studies can improve on, especially in terms of methodology. Pragmatism is a philosophical research stance that integrates quantitative data collection with qualitative data (such as interviews) and will ask in-depth questions to gain holistic quality data for such empirical. Future studies can also improve on the research scope to allow for generalizability of findings and check for potential biases in the data collection, analysis and interpretation processes.

Despite the huge anticipation regarding how AI technology could transform teachers’ roles in higher education, concrete research into AI-generated learning materials and actual impact in facilitating active learning strategies and knowledge retention is currently lacking. This study presents theoretical models on AI acceptance in higher education and explored the Technology, Pedagogical and Content Knowledge framework to inform empirical information on how AI can support active learning strategies and students’ knowledge retention.

The purpose of this paper is to investigate the process of family equity creation and its role for transgenerational entrepreneurship.

This paper combines a systematic literature review on family equity with conceptual theory building, resulting in a model of family equity creation.

The proposed model contains three phases of equity creation that ulitmately leads to transgenerational entrepreneurship: harvesting, institutionalization (via a single family office) and reinvestment.

This paper conceptually introduces the family equity creation model, which may serve as integrative framework for future research on transgenerational value creation by entrepreneurial families. The presented findings are of relevance for family entrepreneurship scholars, entrepreneurial families, as well as for practitioners.

Drawing on crossover research and job demands-resources (JD-R) theory, this study aims to explore the transfer process on thriving at work between supervisors and subordinates and consequences for subordinate behaviors and well-being.

A series of questionnaire surveys were conducted to collect data in three time-lags and multiple sources; The final sample comprised 62 supervisors matched with 315 subordinates. A multilevel path model was specified to test the hypothesized structural relationships in our model using Mplus.

This study finds that supervisor thriving at work leads to role overload among subordinates, which in turn results in subordinate burnout and supervisor-directed deviance behavior. In addition, arising from role overload, supervisor thriving at work diminishes subordinate thriving at work.

Since supervisor thriving at work may have negative consequences for subordinates, organizations should monitor and evaluate the impact of leadership on team dynamics regularly to address any negative effects that may arise from thriving leadership.

Overall, our study shows how supervisor thriving at work exerts a negative rather than positive effect on subordinates with adverse consequences for supervisors and the organization. This dark side of workplace thriving serves as a foundation for future work.

The banking sector is more revolutionized than ever, with advanced technologies driving a seismic change in the financial industry. This study aims to understand how digital technologies influence banking sector employees and their perception of working in an era of Banking 4.0.

This study incorporated qualitative analysis to gain different insights from diverse respondents from banking industries. A purposive sampling method was adopted, and semistructured interviews were conducted, taking a sample of 72 respondents. All the transcripts were then analyzed using NVivo.

The findings focus on challenges related to understanding technology phenomena, managing changes, infrastructure, skills, competitiveness and regulatory mechanisms. This is further followed by the favorable impact of Banking 4.0 on employees and future avenues, such as innovation in financial services, work productivity, career opportunities and change management, banking 4.0 and banking 5.0, and banking 4.0 management strategies identified as the significant findings.

This study provides guidelines for Banking 4.0 provision strategy and conceptual reference toward the development of Banking 4.0. It also supports the Enhanced Access and Service Excellence 4.0 program, driven by the Indian Bank’s Association, to focus more on digitization, automation and data analytics.

The novelty of this research provides a qualitative hierarchy of significant challenges, favorable impacts and future research avenues of Banking 4.0 in the Indian banking sector.

This study addresses the gap in understanding text analytics within the service domain, focusing on new service development to provide insights into key research themes and trends in text analytics approaches to service development. It explores the benefits and challenges of implementing these approaches and identifies potential research opportunities for future service development. Importantly, this study offers insights to assist service providers to make data-driven decisions for developing new services and optimising existing ones.

This research introduces the hybrid thematic analysis with a systematic literature review (SLR-TA). It delves into the various aspects of text analytics in service development by analysing 124 research papers published from 2012 to 2023. This approach not only identifies key practical applications but also evaluates the benefits and difficulties of applying text analytics in this domain, thereby ensuring the reliability and validity of the findings.

The study highlights an increasing focus on text analytics within the service industry over the examined period. Using the SLR-TA approach, it identifies eight themes in previous studies and finds that “Service Quality” had the most research interest, comprising 42% of studies, while there was less emphasis on designing new services. The study categorises research into four types: Case, Concept, Tools and Implementation, with case studies comprising 68% of the total.

This study is groundbreaking in conducting a thorough and systematic analysis of a broad collection of articles. It provides a comprehensive view of text analytics approaches in the service sector, particularly in developing new services and service innovation. This study lays out distinct guidelines for future research and offers valuable insights to foster research recommendations.