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The purpose of this study is to discuss the United Arab Emirates’ (UAE) favorable attitude toward the financial sector’s digital transformation and the development of FinTech due to the rise of financial technology. FinTech blends innovation and technology to provide financial inclusion to stakeholders through various new products and services such metaverse and artificial intelligence.

A quantitative research approach was used to empirically validate the suggested research model by using 260 Emirates-based banking authorities and administrators’ data.

The findings indicate that FinTech adoption had a substantial impact on the competitiveness and performance of the UAE banking industry during COVID-19 times. The research indicates that adequate FinTech implementation and alignment with technology management directly influence the performance of the UAE’s banking sector in difficult times.

This study is critical because the UAE banking sector serves diverse nationalities, and its success is contingent on FinTech and its competitive edge.

This study aims to develop and validate a multidimensional scale to measure the motivating factors that lead to opportunity recognition in social entrepreneurship among higher education institute (HEI) students.

The scale was developed through two phases; in phase 1, semi-structured interviews with social entrepreneurs and aspiring students were conducted to explore themes for item generation. Phase 2 included developing and validating the scale using exploratory (EFA) and confirmatory factor analysis (CFA). The sample included HEI students (n = 300 for EFA, n = 300 for CFA) with either academic background or volunteering experiences in social entrepreneurship.

A 24-item scale is developed in the study, with six factors measuring the motivating factors influencing opportunity recognition in social entrepreneurship: life experiences, social awareness, social inclination, community development, institutional voids and natural option for a meaningful career.

The scale facilitates the development of theories and models in social entrepreneurship. The scale also enables policymakers and social entrepreneurship educators to understand the motivating factors that lead to opportunity recognition among students. It would help them to provide target-specific support to students.

To the best of the authors’ knowledge, this study is the first attempt to develop a scale that measures opportunity recognition in social entrepreneurship based on specific motivating factors. The study used the model by Yitshaki and Kropp (2016) as the conceptual framework. This study is the first attempt to triangulate the model’s findings using a quantitative methodology and through the development of a measurement scale. Besides, the scale adds value to social entrepreneurship research, which lacks empirical research on HEI students.

The aim of this paper is to explore mindfulness and self-compassion teachings and practices embedded in a leadership course and their outcome on stress regulation of doctoral-level students.

Eight valid and reliable pre-and post-assessment inventories were administered prior to the first week of class and following the completion of the doctoral-level class. The test scores were measured for improvement and for differences between various demographic groups.

The results suggest significant improvement on almost every mindfulness subscale with approximately 5–22% of the variance in subscale scores attributed to participation. Doctoral students over 40 indicated more score improvement than students under 40, and doctoral students of color indicated more significant score increases than White students.

The research involves doctoral-level students which limits generalizability to other levels of education. Based on the findings, scaling analysis should be conducted on other types of students for generalization purposes.

Institutions looking to incorporate wellness practices into curriculum can embed these types of practices into their course design.

Faculty can become more intentional in how they engage students in mindful compassion skills within their academic programs.

The paper adds a quantitative study into the literature surrounding efficacy of wellness practices in structured curriculum. Institutions looking to provide more resources to students to improve their wellness may find the model useful on their campuses, particularly for students over 40 and students of color.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

The current study aims to map the scientific output of grey literature (GL) through bibliometric approaches.

The source for data extraction is a comprehensive “indexing and abstracting” database, “Web of Science” (WOS). A lexical title search was applied to get the corpus of the study – a total of 4,599 articles were extracted for data analysis and visualisation. Further, the data were analysed by using the data analytical tools, R-studio and VOSViewer.

The findings showed that the “publications” have substantially grown up during the timeline. The most productive phase (2018–2021) resulted in 47% of articles. The prominent sources were PLOS One and NeuroImage. The highest number of papers were contributed by Haddaway and Kumar. The most relevant countries were the USA and UK.

The study is useful for researchers interested in the GL research domain. The study helps to understand the evolution of the GL to provide research support further in this area.

The present study provides a new orientation to the scholarly output of the GL. The study is rigorous and all-inclusive based on analytical operations like the research networks, collaboration and visualisation. To the best of the authors' knowledge, this manuscript is original, and no similar works have been found with the research objectives included here.

Conducting mixed methods (MM) research is one of many ways to study a research topic in the hospitality and tourism domain. This paper aims to offer a synopsis and guidelines on the application of MM research design within hospitality and tourism.

This paper summarizes the pivotal information on how to write high-quality MM research papers. In doing so, the paper draws on common practices and advice from previous books and articles as well as advice from the editor-in-chief and one of the associate editors of the International Journal of Contemporary Hospitality Management.

This study provides explanations, guidelines and examples of MM research design.

It offers specific recommendations and examples of MM research design in the hospitality and tourism field. This study concludes with a discussion of common mistakes, useful tips and a framework for the self-assessment of MM research.

This is one of the few studies providing specific guidance and recommendations on designing MM research papers in hospitality and tourism studies.

This study aims to analyze the relationship between toxic leadership and exit, prosocial voice, neglect and defensive silence. Second, this study investigates the mediating role of loyalty in these relationships.

A cross-sectional survey design with a sample of 544 individuals was used in this study.

The results suggested that toxic leadership positively influences exit, defensive silence and neglect and negatively influences prosocial voice. In addition, loyalty was found to be a partial mediator of the studied relationships.

This study addresses different theoretical debates, namely, loyalty as an attitude or behavior and its role in individuals’ responses and the relationship between silence and voice.

Neste estudo, pretendeu-se analisar a relação entre a liderança tóxica e a saída, voz prosocial, negligência e silêncio defensivo. Foi também investigado o papel mediador da lealdade nestas relações.

Foi realizado um estudo transversal com uma amostra de 544 participantes.

Os resultados sugerem que a liderança tóxica influência positivamente a saída, o silêncio defensivo e a negligência. Sugerem também uma influência negativa da liderança tóxica na voz prosocial. Adicionalmente, verificou-se que a lealdade é uma mediadora parcial nestas relações.

Este estudo aborda diferentes debates teóricos, nomeadamente a lealdade como atitude ou comportamento, o seu papel nas respostas dos indivíduos e a relação entre silêncio e voz.

En este estudio, nos proponemos analizar la relación entre el liderazgo tóxico y la salida, la voz prosocial, la negligencia y el silencio defensivo. En segundo lugar, investigamos el papel mediador de la lealtad en estas relaciones.

En este estudio se utilizó un diseño de encuesta transversal con una muestra de 544 individuos.

Los resultados sugirieron que el liderazgo tóxico influye positivamente en la salida, el silencio defensivo y la negligencia e influye negativamente en la voz prosocial. Además, la lealtad resultó ser un mediador parcial de las relaciones estudiadas.

Este estudio aborda diferentes debates teóricos, a saber, la lealtad como actitud o comportamiento y su papel en las respuestas de los individuos y la relación entre silencio y voz.

This study aims to investigate the impact of environmentally sustainable innovation practices on consumer resistance to innovation in eco-hotel enterprises and the moderating influence of value co-creation based on the service-dominant logic and innovation resistance theory.

Partial least squares structural equation modeling was used to test the study’s hypotheses on a sample of 382 eco-hotel enterprise consumers surveyed online.

Results reveal that adopting environmentally sustainable innovation practices and consumers’ participation in value co-creation can negatively influence consumer resistance to innovation. In addition, value co-creation partially moderates the influence of environmentally sustainable innovation practices on consumer resistance to innovation, implying that other variables can influence this relationship. Finally, the results showed that value co-creation is a multidimensional construct with dimensions of meaningfulness, collaboration, contribution, recognition and affective response.

This study contributes significantly to knowledge of value co-creation and innovation resistance in service ecosystems through the lens of sustainability. Incorporating value co-creation as a moderator demonstrates how to address sustainable activities to decrease consumers’ resistance to eco-hotel enterprises’ environmentally sustainable innovation practices. By empirically analyzing these relationships, this study makes various contributions and gives helpful decision-making insights.

The aim of this study is to investigate the gender inequalities in perceived stress and the influencing factors in infertile couples in Iranian society.

This cross-sectional study was conducted on infertile couples who were referring to Kurdistan Infertility Diagnosis and Treatment Medical Center in 2019. Demographic and clinical information questionnaire, Newton's Infertility perceived stress questionnaire, Rosenberg's standard self-confidence questionnaire and the multidimensional scale of social support were used. Multiple linear logistic models were also used.

A total of 560 couples (1,120 people) participated in the study. The average perceived infertility-related stress, self-esteem scores and social support and social-emotional loneliness were 173.95 ± 41.87, 13.99 ± 2.29 and 27.81 ± 7.33, respectively, which were significantly different scores across infertility cause and sex (P < 0.05). Males compared to females had lower perceived infertility-related stress (169.93 ± 42.51 vs 177.97 ± 40.86, P = 0.001) and self-esteem scores (14.33 ± 2.29 vs 13.66 ± 2.24, P < 0.001) and social support and social-emotional loneliness (32.92 ± 9.31 vs 30.94 ± 9.04, P < 0.001). The partners who reported themselves as infertile, compared significantly higher in perceived infertility-related stress than those who reported their spouse being infertile (194.24 ± 35.33 vs 141.90 ± 39.28), lower self-esteem scores (12.77 ± 2.21 vs 13.94 ± 1.56) and social support and social-emotional loneliness score (27.81 ± 7.33 vs 30.11 ± 7.70). Also, after taking potential confounders into account with increase in each score of self-esteem, 12.19 units of stress decreases (P < 0.001, 95% CI: 11.40–12.99) and with increase in each score of social support and social-emotional loneliness, 3.45 units of stress decreases (P < 0.001, 95% CI: 3.28–3.63).

There is perceived stress among infertile couples, and this rate is higher among infertile people and women. Therefore, it seems that specific intervention programs for infertile couples should be implemented based on the results of this study, and their stress levels in a way that self-esteem and support for both partners be increased and the perceived stress among women and infertile individuals be decreased.

This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.

This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.

The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.

This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.