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The study investigates the consumer’s attitude to using artificial intelligence (AI) devices in hospitality service settings considering social influence, hedonic motivation, anthropomorphism, effort expectancy, performance expectancy and emotions.

This study employed a quantitative methodology to collect data from Bangladeshi consumers who utilized AI-enabled technologies in the hospitality sector. A total of 343 data were collected using a purposive sampling method. The SmartPLS 4.0 software was used to determine the constructs' internal consistency, reliability and validity. This study also applied the partial least squares structural equation modeling (PLS-SEM) to test the research model and hypotheses.

The finding shows that consumer attitude toward AI is influenced by social influence, hedonic motivation, anthropomorphism, performance and effort expectancy and emotions. Specifically, hedonic motivation, social influence and anthropomorphism affect performance and effort expectations, affecting consumer emotion. Moreover, emotions ultimately influenced the perceptions of hotel customers' willingness to use AI devices.

This study provides a practical understanding of issues when adopting more stringent AI-enabled devices in the hospitality sector. Managers, practitioners and decision-makers will get helpful information discussed in this article.

This study investigates the perceptions of guests' attitudes toward the use of AI devices in hospitality services. This study emphasizes the cultural context of the hospitality industry in Bangladesh, but its findings may be reflected in other areas and regions.

Language and dialect, customs and service attitudes are just a few of the characteristics that make each culture unique. Consequently, the presence of people from different cultures during a service encounter may impact service quality, as what constitutes good service quality is perceived differently across cultures. As a country with a multicultural society, culturally diverse migrants from non-English speaking backgrounds (NESB) play an increasingly important role in the Australian hospitality and accommodation sector. Within this regional context, this study aims to contribute to a more robust understanding of the influence of workforce cultural diversity on different aspects of front-desk accommodation service quality in the accommodation industry.

In this qualitative study, 31 semi-structured in-depth interviews with guests, front-desk staff and managers at service apartments in Western Australia were conducted, followed by validation interviews with five hospitality human resource management experts.

The results of the interviews suggest that cultural diversity of NESB staff affects several aspects of Australian accommodation front-desk services, including communication quality, staff-guest interaction and guest satisfaction. Findings point out that culturally diverse NESB front-desk staff may face cross-cultural communication barriers due to different foreign accents and the presence of local slang, improve guest-staff interaction and the overall guest experience in case of similar cultural backgrounds with guests and provide authentic representations of multiculturalism in Australia.

The study sheds new light on tourists’ shifting perceptions and expectations of authenticity, particularly in Australia, where cultural diversity has increased in prominence. Moreover, in the Australian accommodation service, many NESB employees who have learned American/British English have difficulty conversing with people with Australian accents, especially when Australian slang is also present.

本项定性研究针对西澳大利亚州服务公寓的客户、前台工作人员和经理进行了 31 次半结构化深度访谈, 随后对五位酒店人力资源管理专家进行了验证性访谈。

语言和方言、习俗和服务态度是能体现每种文化独特性的几个特征。因此, 在服务过程中人们文化背景的差异可能会影响服务质量, 因为不同文化对于良好服务质量的认知各不相同。澳大利亚作为一个多元文化社会的国家, 其酒店和住宿行业的发展愈发受到来自非英语背景（NESB）的多元文化移民的影响。因而, 本研究以澳大利亚为案例地有助于更深入地了解劳动力文化多样性对住宿行业前台住宿服务质量的多层面影响。

访谈结果表明, NESB 员工的文化多样性对于澳大利亚住宿前台服务的沟通质量、员工-宾客互动、以及宾客满意度等多方面都有影响。调查结果指出, 文化多元化的 NESB 前台工作人员：（1）可能由于不同的外国口音和当地俚语的存在而面临跨文化沟通障碍; （2） 接待相似文化背景的宾客时员工-宾客互动和整体宾客体验都会得到提升（3）代表澳大利亚多元文化的真实现状。

本研究为游客对原真性的看法和期望的转变提供了新的线索, 特别是在文化多样性日益突出的澳大利亚。此外, 在澳大利亚的住宿服务中, 许多学习过美式/英式英语的NESB员工很难与带有澳大利亚口音的宾客沟通, 更何况还需面对澳大利亚俚语。

El idioma y el dialecto, las costumbres y las actitudes de servicio son sólo algunas de las características que hacen que cada cultura sea única. En consecuencia, la presencia de personas de diferentes culturas durante un encuentro de servicio puede repercutir en la calidad del servicio, ya que lo que constituye una buena calidad de servicio se percibe de forma diferente en las distintas culturas. Como país con una sociedad multicultural, los inmigrantes culturalmente diversos de origen no angloparlante (NESB) desempeñan un papel cada vez más importante en el sector de la hostelería y el alojamiento en Australia. Dentro de este contexto regional, este estudio contribuye a una comprensión más sólida de la influencia de la diversidad cultural de la mano de obra en diferentes aspectos de la calidad del servicio de recepción en el sector del alojamiento.

En este estudio cualitativo se realizaron 31 entrevistas en profundidad semiestructuradas a huéspedes, personal de recepción y gerentes de apartamentos en Australia Occidental, seguidas de entrevistas de validación con cinco expertos en gestión de recursos humanos del sector de la hostelería.

Los resultados de las entrevistas sugieren que la diversidad cultural del personal de los NESB afecta a varios aspectos de los servicios de recepción de los alojamientos australianos, como la calidad de la comunicación, la interacción entre el personal y los huéspedes y la satisfacción de éstos. Los hallazgos señalan que el personal de recepción de los NESB culturalmente diverso puede (1) enfrentarse a barreras de comunicación intercultural debido a los diferentes acentos extranjeros y a la presencia de jerga local, (2) mejorar la interacción huésped-personal y la experiencia general del huésped en caso de tener antecedentes culturales similares con los huéspedes, y (3) proporcionar representaciones auténticas del multiculturalismo en Australia.

El estudio arroja nueva luz sobre las cambiantes percepciones y expectativas de autenticidad de los turistas, especialmente en Australia, donde la diversidad cultural ha cobrado mayor protagonismo. Además, en el servicio de alojamiento australiano, muchos empleados de NESB que han aprendido inglés americano/británico tienen dificultades para conversar con personas con acento australiano, sobre todo cuando también está presente la jerga australiana.

Amidst unpredictable and turbulent periods, such as the COVID-19 pandemic, service organization’s responses are required to be innovative, adaptable and resilient. The purpose of this study is to explore the utilization of both reconfiguration and transformational strategies as instruments for cultivating resilience and advancing sustainability in service organizations.

The study examines a proposed resilience model using fuzzy logic. The research also used a semantic differential scale to capture nuanced and intricate attitudes. Finally, to augment the validity of the resilience model, a measurement scale was formulated using business mathematics and expert opinions.

Although investing in resilience training can help organizations gain control and maintain their operations in times of crisis, it may not directly help service organizations understand the external turmoil, seek available resources or create adaptive remedies. Conversely, high levels of reconfiguration and transformation management vigour empower a service organization’s revolutionary, malleable vision, organizational structure and decision-making processes, welcoming talented and innovative employees to enhance capabilities during crises.

The resilience model bestows a comprehensive understanding of the pertinence of building resilience for service organizations identifying the antecedents that influence the adoption of these strategies and introduces a range of theoretical perspectives that empowers service organizations to conceptualize and plan for building resilience. The research guides service organizations to become more resilient to external shocks and adapt to changing circumstances by diversifying their offerings, optimizing their resources and adopting flexible work arrangements. The study elaborates on the enhancement of resilience, increasing innovation, improving efficiency and enhancing customer satisfaction for service organizations to remain competitive and contribute to positive social and economic outcomes through the adoption of both reconfiguration and transformational strategies.

The study also guides the service organizations to become more resilient to external shocks and adapt to changing circumstances by diversifying their offerings, optimizing their resources and adopting flexible work arrangements. Rapid innovation and business model innovation are essential components, enabling service organizations to foster a culture of innovation and remain competitive. In addition, the adoption can lead to improved financial performance, job creation and economic growth, contributing to positive social and economic impacts.

The resilience model bestows a comprehensive understanding of the pertinence of building resilience for service organizations. It identifies the antecedents that influence the adoption of these strategies and introduces a range of theoretical perspectives that empowers service organizations to conceptualize and plan for building resilience. The research also provides a foundation for further investigation into the effectiveness of these strategies and their impact on organizational performance and sustainability. By better preparing service organizations for disruptions and uncertainties, this research triggers ameliorated organizational performance and sustainability.

Within the realm of the service industry, the present investigation has undertaken the development, quantification and scrutiny of both resilience and tenacity. In addition, it has delved into the intricate dynamics surrounding the influencing factors and antecedents that bear upon resilience, elucidating their consequential impact on the operational performance and outlook of service-oriented organizations. The findings derived from this research furnish valuable insights germane to enhancing operational efficacy and surmounting impediments within the sector.

Drawing upon the stimulus-organism-response model, this study aims to explore the impact of soft aspects of service quality on revisit intention through the mechanism of perceived empathy.

For the examination of the hypothesized relationships, the study adopts structural equation modelling to analyse the data of 562 respondents (i.e. 281 family members and 281 inpatients).

The empirical results suggest that service quality increased family member empathy perception, which, in turn, improved inpatients’ revisit intentions.

Past studies have focused on the roles of overall service quality. The authors have extended the literature by examining the specific but important aspect of service quality and its effects on emotional response. Importantly, the study explains that the affective reactions of a patient’s family, fastened with perceived empathy, have a central role in influencing the patients’ subsequent reactions. Moreover, the prior studies collected the data either from hospital employees or patients. However, in the present study, the authors used a unique sample (family members as well as patients) to have a deeper understanding. Thus, the study enhances the literature on the stimuli-response (i.e. service quality – revisit intentions) relationship in the context of service marketing in general and health care in specific. Important academic and managerial contributions and recommendations for future research are discussed.

Based on the stimuli-organism-response model and relationship marketing theory, the effect of different dimensions of Servicescape (Ambience, Cleanliness, Functionality, Spatial Layout, Employee Service Quality) on Customer Satisfaction and Behavioral Intention in hospitals during the COVID-19 pandemic are considered.

The study takes a quantitative approach, applying structural equation model using partial least square structural equation modeling to test the hypotheses. A total of 360 responses were collected using questionnaires distributed to different individuals who visited private hospitals in the past two months in India.

Contradicting previous research, this study found that among servicescape dimensions, employee service quality had the maximum influence on customer satisfaction and cleanliness does not have any significant impact on customer satisfaction as hypothesized. Mediation results show that customer satisfaction has a partial mediation effect for all servicescape dimensions except ambience, as both direct and indirect effects are significant. Importance-performance map analysis was performed on the responses collected, and it was found that employee service quality is the most important dimension affecting servicescape, followed by functionality and spatial layout. Thus, health-care institutions should focus on these factors to keep their customers satisfied.

Past studies have focused on the roles of servicescape and customer satisfaction separately. The authors have extended the literature by examining the combined effects of both servicescape and customer satisfaction. The findings from the study, therefore, help in developing a deeper understanding of the literature on the behavior intention relationship in the context of health care, as well as in service marketing.

The purpose of this paper is to understand the financial opaqueness established through offshore businesses and financial secrecy through the requirements of information exchanges, and their deadly combination for facilitating money-laundering activities and tax evasion. It also puts into light some key recommendations for a country like Nepal that has been struggling to put adequate efforts into understanding financial opacity and secrecy.

This paper navigates through global issues on layering through opaque corporate structures, and mechanisms required for information exchange so as to figure out solutions and challenges to address them by developing countries like Nepal, with specific actions pertaining to Nepal.

Understanding financial opacity and secrecy is a prerequisite to tackling financial crimes. While focusing on global solutions and inherent challenges regarding such issues, concerted efforts are required to capacitate a country on contextual matters.

This work is an original work with an analysis of a global issue in an interconnected world with solutions catered to the local contexts of Nepal.

This paper explores optimal service resource management strategy, a continuous challenge for health information service to enhance service performance, optimise service resource utilisation and deliver interactive health information service.

An adaptive optimal service resource management strategy was developed considering a value co-creation model in health information service with a focus on collaborative and interactive with users. The deep reinforcement learning algorithm was embedded in the Internet of Things (IoT)-based health information service system (I-HISS) to allocate service resources by controlling service provision and service adaptation based on user engagement behaviour. The simulation experiments were conducted to evaluate the significance of the proposed algorithm under different user reactions to the health information service.

The results indicate that the proposed service resource management strategy, considering user co-creation in the service delivery, process improved both the service provider’s business revenue and users' individual benefits.

The findings may facilitate the design and implementation of health information services that can achieve a high user service experience with low service operation costs.

This study is amongst the first to propose a service resource management model in I-HISS, considering the value co-creation of the user in the service-dominant logic. The novel artificial intelligence algorithm is developed using the deep reinforcement learning method to learn the adaptive service resource management strategy. The results emphasise user engagement in the health information service process.