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This study aims to identify specific factors that facilitate engagement and stay intention among Generation Z employees in the Indian banking, financial services and insurance (BFSI) context. Furthermore, using the frequency distribution of the identified factors, this study has ranked them in order of their association with stay intention.

Data were collected from 22 Gen Z employees working in the Indian private BFSI sector using unstructured interviews. Inductive content analysis was applied to identify the factors improving engagement and stay intention. Moreover, quantitative content analysis was applied to calculate the frequency distribution of the identified factors.

The study identified six prominent factors, namely, transformational leadership, employee investment practices, egalitarian practices, work-life balance, job crafting and sustainability, which significantly enhance employee engagement and stay intention among Gen Z employees. Moreover, based on the results of quantitative content analysis, it was found that transformational leadership exhibited the highest frequency in association with employee engagement and stay intention. Following this were employee involvement, egalitarian practices, work-life balance, job crafting and sustainability.

In the coming days, Generation Z will contribute to almost one-third of India’s workforce, of which the BFSI sector will be the major employer. However, the issue with this generation is their retention. Hence, the study identifies factors ensuring engagement and stay intention.

Owing to the paucity of research on stay intention as a variable of interest, this study tries to capture the perceptions of Gen Z towards factors inducing their engagement and stay intention. This study assesses intention to stay (ITS) as compared to intention to leave (ITL) as it is a proactive indicator of turnover. Lastly, this study uses a qualitative approach to identify factors influencing stay intention and engagement based on interactions with employees, which, to the best of the authors’ knowledge, no prior study has attempted.

Based on the principle of equality, individuals with disabilities have the right to equal job opportunities and career advancements and to actively participate in the economy like other members of society. This study aims to provide an integrated description of discriminatory occupational practices and behaviours that individuals with disabilities face. This study followed the descriptive analytical approach to achieve the objectives. A questionnaire was used for data collection purposes.

The target population for this study was male and female employees with disabilities working in the Jordanian Government sector for the years 2019–2022 in all governorates of Jordan. The sample method used was purposive-convenient random sampling, and the size of the sample valid for statistical analysis was n = 1,043. Using the Statistical Package for Social Sciences (v26), a number of statistical tests were conducted to infer the features of the researched phenomenon.

This study found an overall moderate level (mean = 2.76) of practices and behaviours of job discrimination against individuals with disabilities in the Jordanian public sector. All proposed practices and behaviours were at moderate levels of agreement, with the highest discriminatory behaviours being in the areas of training and learning opportunities (2.88), followed by job performance evaluation (2.84), work leave and vacation (2.75), integration and social participation (2.74), career advancement and promotion (2.73) and, last, the distribution of tasks and responsibilities (2.61). Furthermore, it was found that there are significant differences in the levels of discriminatory practices and behaviours towards people with physical disabilities, individuals with visual impairments and psychological disabilities, new employees at work and those with a low level of education. In addition, employees at higher administrative levels (manager, deputy/assistant manager and head of department/division) and workers in the southern and central governorates are exposed to the highest levels of discrimination.

Lack of data: There is often a lack of reliable and comprehensive data on employees with disabilities, making it difficult for researchers to accurately study and understand the experiences of this population. Stigma and discrimination: People with disabilities often face stigma and discrimination, which can make it challenging for researchers to engage with them and collect accurate information.

Moreover, it was found that the main agencies to which cases of discriminatory practices towards individuals with disabilities working in the Jordanian public sector are reported are the direct managers/supervisors (n = 381), the ministry to which the institution/department belongs (n = 278) and the Higher Council for the Rights of Persons with Disabilities (n = 261).

Supporting social inclusion: Employment can provide a sense of purpose, identity and social inclusion for people with disabilities, which can have a positive impact on their disabilities and overall quality of life. Improving diversity and inclusion: The inclusion of employees with disabilities can contribute to a more diverse and inclusive workplace, where all employees feel valued and respected.

This study found that discriminatory practices against employees with disabilities in the Jordanian public sector were largely because of a lack of awareness of reporting mechanisms and negative attitudes towards individuals with disabilities. This study proposes solutions such as raising awareness among non-disabled employees, implementing penalties for discriminatory behaviour and updating legislation for the rights of individuals with disabilities.

The purpose of this study is to investigate the effect of the COVID-19 pandemic on key performance metrics of accommodation properties by elaborating on the roles of business models (i.e. franchised, chain-managed and independent hotels, and the sharing economy) and state-level restrictions in the US.

The pandemic is considered a variable interference against the average daily rate, occupancy and revenue per available room, which permits the examination of the before and after effects of the pandemic. The panel data model is used to examine the effect of the recent pandemic on the accommodation sector in the USA.

The results showed that chain-managed hotels were the most adversely impacted by the COVID-19 pandemic, while independent hotels were the least adversely impacted. Interestingly, and consistent with emerging consumer needs suggested by spatial distance theory, the pandemic does not have significant negative effects on Airbnb. The adverse impact of the pandemic on hotels was exacerbated in more restrictive states, while Airbnb remained immune to regulatory differences.

This study addresses the dearth of research on the types, roles and efficacy of business models in the accommodation industry and makes important theoretical contributions to the study of business model resilience in the accommodation industry, leveraging the resource-based theory of the firm and spatial distance theory.

The findings of this study make a significant contribution to the extant literature on the resilience of business models in the accommodation industry and have important implications for hotels, Airbnb owners, accommodation brands and destination and health policymakers. They demonstrate that a lower level of corporate control and greater flexibility in brand and operational standards allow for a more effective response to business disruptions such as a global pandemic.

The intention of consumers to behave sustainably is not a reliable predictor of sustainable hospitality choices. This intention-behaviour gap represents one of the biggest challenges for marketers and environment-friendly businesses. To address this issue, this study aims to draw upon the intention-behaviour gap. The authors revise the sustainable hospitality literature to identify the limitations, to evaluate the extent to which the intention-behaviour gap is embedded in the hospitality literature and to provide practical guidance on how to move research forward in the sustainable hospitality field.

The authors adopted a five-step process to review and analyse 71 scientific papers published in 14 Hospitality Journals. The authors developed a descriptive overview of the literature showing the publications in this field over the years, the sustainability practices implemented by companies and consumers and the setting of the studies. Finally, the authors conducted a critical analysis of research in sustainable hospitality adopting the intention-behaviour gap lens.

Leveraging the descriptive overview and critical analysis, the authors offer four directions for future research to address the existing literature limitations. The authors encourage scholars to expand the scope of the research setting, investigate diverse sustainability practices, integrate existing knowledge on the intention-behaviour gap into sustainable hospitality research and combine traditional research methods with emerging technologies.

This study exposes the theoretical challenge of applying conventional behaviour theories to sustainable hospitality, prompting a call for framework re-evaluation. It offers practical insights, empowering researchers, marketers and policymakers to navigate and mitigate the intention-behaviour gap in sustainable hospitality.

The originality of this paper is underscored by its distinctive focus on the unique intention-behaviour gap within sustainable hospitality, coupled with a compelling call to re-evaluate traditional behavioural frameworks. It provides a roadmap for future research in sustainable hospitality, benefiting researchers, policymakers and marketers in promoting sustainable initiatives.

In the competitive realm of destination branding, understanding the factors that lead tourists to develop a deep emotional connection with a destination’s brand is essential. At the heart of this emotional bond lies destination brand love – an exceptionally profound sentiment transcending mere satisfaction or preference. This concept has recently garnered attention from both tourism academia and industry practice. However, there remains a void in exploring the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand. This study examines the influences of self-congruence and destination immersion on destination brand love. In addition, the linkages from the four facets of self-congruence to destination brand love via the mediating role of destination brand immersion are also scrutinized.

With data collected from 421 tourists in Vietnam, the partial least squares structural equation modeling (PLS-SEM) approach was applied to test the research model and hypotheses.

The results reveal that (1) ideal and ideal social self-congruence impact destination brand love, (2) all four facets of self-congruence impact destination brand immersion and (3) there is an indirect effect of the four facets of self-congruence on destination brand love, mediated by destination brand immersion.

The study’s findings provide evidence that destination characteristics must be symbolic of the destination brand and consistent with its image among tourists, which is essential in understanding the complex behavior of tourists. Indeed, the results indicate that facets of self-congruence significantly influence both destination brand immersion and destination brand love. Therefore, destination marketers should develop marketing strategies that emphasize personal relevance to the tourist destination to increase their sympathy and love for the destination.

Adapting self-congruence theory and the psychology of flow theory, this study presents a model that elucidates both the direct and indirect relationships among the four facets of self-congruence: destination brand immersion and destination brand love based on the aspects of congruence between tourists and destinations. From this, it helps to explore the factors and mechanisms that pave the way for tourists to develop deep affection for a destination’s brand.

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

A stated choice experiment is used to examine customer preferences for staycation package attributes. Latent class discrete choice modeling is deployed to classify customers into market segments based on their preferences. The profile of each segment is enhanced by documenting customer characteristics and consumption styles.

Six prominent market segments are identified using a combination of sociodemographics, consumption styles and staycation attribute preferences. The findings draw on consumer experiences during the COVID-19 pandemic to generate theoretical insights into preferred staycation packages. Empirically, the estimation results from the research framework and choice experimental method demonstrate that staycation market segments exhibit distinct preference structures.

Practitioners and policymakers can incorporate the findings of this study in designing and/or assessing staycation packages. This can ensure differentiated products for defined segments that resonate within local communities through positive word of mouth, thus offering prospective spillovers to visiting friends and relatives.

This is a pioneering study on preference heterogeneity from the customer perspective, with a focus on staycation markets. The findings can encourage and assist hotel sector leaders to capitalize on local market developments to achieve a more resilient hospitality business model.

Working mothers experienced dramatic changes to their daily routines during the COVID-19 pandemic. Many began to work from home as they simultaneously tried to balance work demands with tending to their children. The purpose of the current study was to examine working mothers’ experiences during the pandemic.

In order to examine working mothers’ experiences of telework during the pandemic, we conducted a focus group study. 45 working mothers participated, and they answered questions about their experiences.

Three themes emerged from the focus groups: (1) motivation shifts amongst working mothers; (2) difficulty balancing roles as mother and employee; and (3) workplace expectations and support. Many mothers reported that their overall motivation as employees had decreased and that they experienced difficulty in fully attending to their work and their child(ren)’s needs. As mothers navigated the stress of working during the pandemic, they reported varying levels of workplace support and many credited working with other parents as a primary contributor to feeling supported.

The findings from the current study add to the growing body of literature documenting the dark side of teleworking for mothers who struggled immensely with work–life balance. This study builds on past research by allowing mothers to share their experiences in their own words and offering suggestions for how organizations can support mothers in navigating these ongoing challenges as teleworking continues to remain prevalent. The narratives collected hold important implications for practices and policies to best support the needs of mothers as they continue to work and care for their children within the home.

This paper aims to examine the role of social media communication, tourist satisfaction and destination brand equity components in enhancing destination brand equity based on the Stimulus – Organism – Response (S-O-R) theory.

The conceptual model and research hypotheses were assessed using covariance-based structural equation modeling (SEM). An online survey was used to collect data from 369 domestic tourists who had traveled to Danang and knew about content related to Danang generated by either DMOs or other users on social media.

Except for the effect of DMO-generated social media communication on tourist satisfaction and the impact of destination brand awareness on destination brand loyalty, the findings confirmed the sequential causal relationships between research concepts based on the S-O-R model.

Future research should explore the proposed model based on comparisons of different nationalities to better understand the impact of cultural factors.

DMOs should associate social media with their marketing strategies to enhance destination brand equity, using cutting-edge technologies to create content and update information in a significant way to make communications by DMOs more effective. The findings especially suggest that UGC plays a vital role in improving brand equity dimensions, so DMOs could exploit UGC to engage existing customers and build relationships with potential customers. This research provides guidance for DMOs to improve their brand equity based on social media.

This study has contributed to the destination marketing literature by applying the S-O-R theory to propose a pathway for effectively increasing destination brand equity and highlight the importance of social media communication as a driver to achieve a hierarchical relationship between destination brand equity components and tourist satisfaction from stimulus to organism (e.g. cognition to affect).

The purpose of this paper is to have a deeper understanding of the nonlinear relationship between the impact of climate change on tourism development. Current studies on the effects of climate change on tourism development primarily rely on linear correlation assumptions.

Based on the New Institutional Economics theory, the institutional setting inherently motivates and ensures the growth of the tourism industry. For a precise evaluation of the nonlinear consequences of climate change on tourism, this paper concentrates on Chinese cities between 2011 and 2021, methodically analyzing the influence of climate change on tourism.

The study findings suggest that there is an “inverse U”-shaped nonlinear relationship between climate change and tourism development, initially strengthening and subsequently weakening. Based on these findings, the research further delves into how institutional contexts shape the nonlinear association between climate change and tourism growth. It was found that in a higher institutional backdrop, the “inverse U” curve tends to flatten and surpass the curve adjusted for a lesser institutional context. Upon deeper mechanism analysis, it was observed that cities with more advanced marketization, improved industrial restructuring and enhanced educational growth exhibit a more evident “inverse U”-shaped nonlinear connection between climate change and tourism evolution.

First, previous studies on climate change and tourism development largely rely on questionnaire data (Hu et al., 2022). In contrast to these studies, this paper uses dynamic panel data, which to some extent overcomes the subjectivity and difficulty of causality identification in questionnaire data, making our research conclusions more accurate and reliable. Second, this study breaks through the linear relationship hypothesis of previous literature regarding climate change and tourism development. By evaluating the nonlinear relationship of climate change to tourism development from the institutional pressure perspective, it more intricately delineates their interplay mechanism, expanding and supplementing the research literature on the relationship mechanism between climate change and tourism development. Thirdly, the conclusions of this study are beneficial for policymakers to better understand and assess the scope of climate change impacts. It also aids relevant departments in clarifying the direction of institutional environment optimization to elevate the level of tourism development when faced with adverse impacts brought about by climate change.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?