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The purpose of this paper id to investigate the influence of nationality on residents’ perceptions of the impacts of tourism, and their support for tourism development, in Abu Dhabi, United Arab Emirates (UAE).

Data were collected from self-administered questionnaires from 407 residents, representing 30 nationalities residing in Abu Dhabi.

The findings suggest differences in perceptions of the impacts of tourism between national and expatriate residents. Despite these differences, both groups reported support of tourism development.

This paper groups residents into only two groups – nationals and expatriates – which limits the explanation of findings. Tourism officials should customize strategies to reach targeted group of residents.

Extant literature examines residents’ perceptions of the impacts of tourism in homogenous groups, and little research explores the influence of nationality on residents’ perceptions. This study is the first to be conducted in Abu Dhabi – where more than 80 per cent of the population is comprised of expatriates – that identifies differences in perceptions between national and expatriate residents regarding tourism’s impacts.

The purpose of this paper is to investigate the relationship between leader–member exchange (LMX), perceived organisational support (POS) and turnover intention (TI) through the mediating effect of psychological stress in the police personnel of United Arab Emirates (UAE).

A questionnaire-based survey was used to collect data from police personnel (n=800) deployed in different positions in UAE police departments. The structural equation modelling analyses were consistent with the full and partial mediation models in which LMX, POS and PS predict TI. Specifically, several alternative models were compared to confirm the mediation effects.

The results revealed that while LMX had a direct negative effect on police force TI, POS had no indirect impact on police force TI. Furthermore, LMX did positively influence police personnel’s POS. PS acted as a full mediator between police personnel’s POS and TIs. Additionally, the direct positive effects of PS on police personnel’s TIs were confirmed.

The findings will help policymakers and practitioners to better understand the influences of the LMX, POS and PS factors on police force TI and will help in formulating strategies to minimise TI and retain talented police personnel for effective safety and law enforcement in the country.

The study contributes to the literature by being one of the first to study the LMX, POS, PS and TIs of police personnel within the context of an emerging Arab country.

While quiet quitting is not an entirely new phenomenon, no published research has examined its relationship to existing concepts from a human resource management and organizational behavior perspective. Therefore, this study is a critical reflection that aims to demonstrate the relationship of quiet quitting with concepts researchers in tourism and hospitality have extensively used to study related phenomena.

Gray literature was mobilized to capture the momentum of this new phenomenon, whereas scholarly research was reviewed to identify existing concepts associated with quiet quitting and suggest directions for theory-building and empirical research.

In its contemporary form, quiet quitting mostly resonates with younger employees, due to the drastic changes in workplaces following the COVID-19 pandemic. While quiet quitting closely resembles collective industrial action such as “work to rule” and “acting one’s wage,” it also has a psychological dimension, and can be understood through concepts such as work withdrawal, employee cynicism, and silence. Multiple theories and concepts are proposed to facilitate the conceptualization and operationalization of quiet quitting (e.g. organizational citizenship behavior, social exchange, psychological contract, organizational justice, conflict theory, equity theory, two-factor theory, job demands-resources and conservation of resources theories).

This research provides practical suggestions to managers in tourism and hospitality to prevent the occurrence of quiet quitting in the first place, as well as effectively handling it once it occurs.

Studies addressing quiet quitting are rare. This paper attempts to synthesize diverse concepts and theories associated with quiet quitting to understand its meaning, potential causes and to suggest avenues for future research.

For more than 40 years, researchers have examined an exhaustive set of attributes as price determinants in tourism and hospitality. In extending this rich research stream, this study aims to propose and empirically assess a new set of hotel attributes, namely, faith-based attributes that allow tourists to continue following the activities and rituals guided by their religions while on vacation.

Using the Bayesian quantile regression for the first time in the field of hotel pricing, the hedonic pricing models examine both internal and external faith-based attributes, namely, halal services, which cater to the needs of Muslim tourists, in a sample of 805 hotels across the top three non-Muslim country destinations (Singapore, Thailand and Japan).

By exploring the effects of faith-based (halal) attributes available in hotels located in the biggest cities of the above-mentioned destinations, this study provides evidence for the significant role of faith-based (halal) attributes in determining hospitality prices.

This study’s findings offer a resource for several implications for tourism and hospitality scholars, practitioners and policymakers, especially within the field of Muslim/halal tourism, to develop action plans and strategies.

This study is the first to introduce a novel set of faith-based hospitality attributes and empirically assess their impact on hospitality price formation. Additionally, it contributes to the hedonic pricing method by being the first to use the Bayesian quantile regression.

This study aims to delve upon customer satisfaction and service quality within small- and medium-sized hotels (SMSHs) by using a modified SERVQUAL model.

Data for the study were collected from a sample of 253 guests of varying nationalities who stayed at SMSHs of one-to-three-star ratings in the UAE. Moreover, 15 face-to-face interviews were conducted. The influence of the five dimensions of the SERVQUAL model on visitors’ satisfaction was explored using structural equation modelling.

The results indicated that three out of the five dimensions of SERVQUAL, namely, tangible, responsiveness and assurance, have significant positive impact on visitors’ satisfaction of the SMSHs Industry. The remaining two dimensions of SERVQUAL, reliability and empathy, have no significant impact on visitors’ satisfaction.

This study provides a major contribution in that it offers the potential to examine a vastly under researched area of customer satisfaction and service quality of SMSHs in a developing country.

The purpose of this paper is to examine the impact of leadership and rewards on the contribution to knowledge sharing in public organizations of the United Arab Emirates (UAE).

Data were collected from 154 employees from various organizational units of a law enforcement organization in the UAE, and structural equation modeling was used to test the proposed hypotheses.

Leadership inspiration was found to be positively effective in enhancing the contribution of knowledge sharing in terms of solving problems, increasing opportunity and improving the productivity of the workforce. Furthermore, it was found that the reward system had no impact on the contribution to knowledge sharing.

The method of data collection focused on the employees who were attending a training workshop in the department. This survey raises concerns related to non-response bias and common method bias, which describes the measurement error that is compounded by the sociability of the respondents who wanted to provide positive answers.

This research focuses on the implementation of certain practices related to knowledge sharing in public organizations. The model was constructed to assess the impact of leadership and rewards on the contribution to knowledge sharing through knowledge sharing practices as a mediation. The study is a modest attempt to assist the organizational leaders to embark on the right steps to foster knowledge sharing behavior among employees.

The study contributes to the literature on knowledge sharing, particularly on the relationship between leadership inspiration, rewards and contribution to knowledge sharing in the law enforcement organizations in the UAE.

This paper aims to investigate residents’ perceptions of tourism’s impact on their support for tourism development in Abu Dhabi, United Arab Emirates (UAE).

Data were collected using self-administered questionnaires from Abu Dhabi residents (n = 407), who represented 30 nationalities residing in the emirate. Based on social exchange theory, structural equation modeling was used to test hypotheses.

Results suggest that Abu Dhabi residents perceive the impacts of tourism positively and are more sensitive to the environmental and economic influences of tourism than the social and cultural influences.

This study was limited to Abu Dhabi residents; findings cannot be generalized to other emirates in the UAE, or other countries.

This study adds value to extant tourism literature by investigating residents’ perceptions of the influence of tourism in one of the richest cities worldwide, which aspires to be one of the fastest growing tourism destinations in the Middle East.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.

This study aims to examine the effectiveness of individual dynamic capabilities (DC) constructs and whether they had comparable effects on a company’s competitiveness in market turbulence (MT). This study used quantitative methods to determine how the DC elements, sensing, learning, integrating and coordinating, influenced competitiveness, with the moderating role of MT during a real-time crisis.

Survey data was gathered from 426 tourism small and medium-sized enterprises (TSMEs) in the United Arab Emirates and analyzed quantitatively.

The study found that not all DC constructs were equally important in promoting competitiveness. TSMEs’ survival depended more on sensing and integrating capabilities than learning and coordinating capabilities, and on how these capabilities were used by managers or owners of TSMEs. The study found no moderation effect of MT.

The generalizability of the results was hindered by the study’s focus on TSMEs in a single geographic location. The reasons for lack of proper mobilization of DCs constructs were not explored, but the data on the relative efficacy of DC constructs during a crisis significantly contributed to the literature.

This study emphasized ways that companies could improve firm competitiveness during a crisis by deploying DCs to optimize operations. The implications for research, practical aspects and limitations are presented and discussed.

With the trend of adopting and studying artificial intelligence (AI) service robots at restaurants, the authors’ understanding of how customers perceive robots differently across restaurant segments remains limited. Therefore, building upon expectancy theory, this study aims to propose a trust-based mechanism to explain customers’ support for AI-based service robots.

For cross-segment validation, data were collected from online survey participants under the scenarios of experiencing AI service robots in luxury (n = 428), fine-dining (n = 420), casual (n = 409) and quick-service (n = 410) restaurant scenarios.

In all four segments, trust in technology increased willingness to accept AI service robots, which was then positively related to customers’ support for AI-based service robots. Meanwhile, customers’ AI performance expectancy mediated the relationship between trust in technology and willingness to accept AI service robots. On the other hand, at luxury, fine-dining and casual restaurants, males perceived a stronger positive relationship between trust in technology and AI performance expectancy. No generational differences were found in the four restaurant segments between trust in technology and AI performance expectancy.

To the best of the authors’ knowledge, this study is one of the first attempts in hospitality research to examine cross-segment validation of customers’ responses to AI-based service robots in the luxury, fine-dining, casual and quick-service restaurant segments.