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Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

Building on recent smart hospitality systematic reviews and extensive literature analyses, this paper aims to explore recent developments, themes and issues within smart hospitality. It synthesises existing knowledge, extrapolating forward and contributes to the future development of smart hospitality by serving as a reference to enrich academic/industry discussions and stimulate future research.

The research examined 8 recent review articles on smart hospitality and tourism and extracted 145 articles in peer-reviewed sources from Web of Science focussed on smart hospitality. These publications supported in-depth analysis to explore the body of knowledge and develop foresight for the future of smart hospitality within business ecosystems at tourism destinations. It synthesises knowledge and provides the basis for the development of a comprehensive in-depth research agenda in smart hospitality innovations as well as the formulation of agile hospitality ecosystems.

This paper illustrates that smart hospitality introduces disruptive innovations that affect the entire hospitality ecosystem. Smart hospitality takes advantage of smart cities and smart tourism towards establishing agile business ecosystems in networked destinations. Having reviewed the existing literature, the study developed a conceptual framework and introduced a comprehensive future research agenda. This includes the drivers of smart hospitality, namely, customer-centricity, personalisation, individualisation and contextualisation; marketing-driven hospitality excellence and metaverse; as well as operation agility, asset strategy, talent management and supplier interoperation. It also identified the foundations that provide the infostructure for smart hospitality, including ambient intelligence, big data, processes and sustainability, providing the capability blocks to co-create value for all stakeholders in the hospitality ecosystem.

This study conceptualises smart hospitality as a disruptive and innovative power that will affect the competitiveness of hospitality and tourism organisations as part of a comprehensive ecosystem. It identifies the key stakeholders and explores how they can take advantage of emerging developments. This paper proposes the drivers and foundation for future research on smart hospitality. The research provides a conceptual synthesis of the literature and the concepts that have been elaborated. The foundations are effectively the infostructure that enables the drivers to add value to different stakeholders. Key issues are identified to stimulate further research on the area to support smart hospitality development and adoption.

Concerning the emergence of Industry 4.0 and the concept of “smartness”, the technology competence of hospitality practitioners that was previously neglected and overlooked should be explored. Therefore, this study aims to explore previous hospitality technology competence through a literature review and then to extend, strengthen and build a new framework of the required technology competencies for hospitality practitioners in terms of facing smartness.

To investigate the previous research on the characteristics of the required technology competencies for hospitality practitioners, this study carried out a systematic literature review (SLR) on works published from 2011 to 2020. Then, based on the SLR results, the required technology competencies for hospitality practitioners in terms of facing smartness was explored with 26 experts from the government, industry and academia. The data were analysed through thematic analysis based on the perspectives of task–technology fit, and then, the framework was constructed.

This study reconfirmed that technology competence has been neglected in the previous hospitality competence literature and that the current methods and ways of thinking cannot succeed in this smart era. Moreover, based on fundamental technology competence, a new framework with ten dimensions of technology competencies required for hospitality practitioners in terms of facing smartness was created.

This study identified the required technology competencies for hospitality practitioners, an area that has rarely been addressed in the previous literature. Moreover, specific competencies, especially those needed to face this smart era, are urgent and novel in the academic hospitality field.

面向智能时代的智能性：为酒店从业人员构建一项包含所需技术能力的理论框架

关于工业4.0的出现和“智慧”的概念, 酒店从业者的技术能力在前人研究中经常被探索和忽视。 因此, 本研究旨在通过文献回顾, 然后扩展、加强和建立酒店从业人员在面对智能方面所需的技术能力的新框架来探索以前的酒店技术能力。

为了调查之前关于酒店从业人员所需技术能力特征的研究, 本研究对 2011 年至 2020 年发表的作品进行系统文献综述 (SLR)。然后, 根据 SLR 结果, 酒店从业人员在面对来自政府、行业和学术界的 26 位专家关于智能进行了探讨。 基于任务-技术契合度 的视角, 通过主题分析和对数据进行分析, 然后构建框架。

本研究再次证实, 在以往的酒店能力文献中, 技术能力一直被忽视, 当前的方法和思维方式无法在这个智能时代取得成功。 此外, 在基础技术能力的基础上, 本研究创建了酒店从业者面对智慧所需的十个维度技术能力的新框架。

本研究确定了酒店从业人员所需的技术能力, 这是以前文献中很少涉及的领域。 此外, 特定的能力, 尤其是面对这个智能时代所需的能力, 在酒店管理的学术领域是紧迫而新颖的。

The purpose of this paper is to explore the changing nature of the relationship between service workers and their work arrangements. Building upon classical and contemporary management theories and examining current trends and disruptions in employment relationships, it proposes a dynamic and relational model applicable to the management of service work in future decades (notionally in the year 2050).

This paper introduces and develops the concept of worker–ecosystem relationship as a core construct to describe the participation and productivity of workers in the significantly transformed work environment of 2050.

This paper argues that in work ecosystems – defined as relatively self-contained and self-adjusting systems – work arrangements will evolve toward less-clearly defined employment relationships characterized by long-term social contracts, tightly defined work roles and physical proximity of workers and organizations.

A novel yet theoretically rooted construct of work ecosystems is introduced, using this new lens to predict changes in the nature of service work in 2050.

The purpose of this study is to assess the level of adjustment of the activities of health tourism and hospitality enterprises to the sustainable development criteria developed by the global sustainable tourism council.

The main research method used in this study was a diagnostic survey – an in-depth interview. This research was conducted among managers of 18 of the largest enterprises that conduct tourism and wellness activities in Polish health resorts.

The analysis of the research results indicated that only every other surveyed health resort entity implemented a sustainable development system or program. Most health resort entities undertook initiatives to support the local community in the field of education, health, sanitary safety and mitigating the negative effects of climate change. The respondents also unequivocally stated that they used good practices in promoting cultural heritage among health resort guests. Almost all of the analyzed enterprises applied solutions aimed at saving natural resources, i.e. reducing unnecessary purchases and saving electricity and water. Participation in programs to reduce greenhouse gas emissions and means of transport usage was very rarely declared.

It is recommended to include environmental issues in the business models of health tourism entities, e.g. by including them in the strategy, including mission, communicating pro-environmental goals and actions to stakeholders, and applying environmental management systems and concepts.

The research problem is a strong point of the work, as the issue of sustainable development of tourist organizations has rarely been discussed so far. Health resorts were also not considered the subject of research in this area. In this research, the authors assessed the degree of compliance of health tourism enterprises with the requirements of sustainable development, which is a contribution to the science system.

Voice assistants (VAs) empower human–computer interactions by recognising human speech and implementing commands pronounced by users. This paper aims to investigate VA-enabled interactions between hotels and guests in the hospitality context. The research positions VAs within the artificial intelligence (AI)-enabled Internet of Things (IoT) context, disrupting old practices and processes. Smart hospitality uses VAs to support effortless value cocreation for guests cost-effectively. The research examines consumer perceptions and expectations of hospitality VAs and explores VA capabilities through expert technology providers.

This empirical paper investigates the current use and future implications of VAs for hotel environments. It uses qualitative, semi-structured in-depth interviews with 7 expert hospitality VA technology providers and 21 hotel guests who have VA experience. The research adopts a demand and supply approach, addressing the VAs in hospitality holistically.

The findings illustrate the requirements from both end-users’ sides, hotels and guests, exploring VA advantages and challenges. The analysis demonstrates that VAs increasingly become digital assistants. VA technology helps hotels to improve customer service, expand operational capability and reduce costs. Although in its infancy, VA technology has made progress towards optimising hotel operations and upgrading customer service. The study proposes a speech-enabled interactions model.

This research stimulates the transformation of hospitality services by using VAs and the development of smart hospitality and tourism ecosystems. The study can benefit from further research with hotel managers, to reflect hoteliers’ points of view and investigate their perception of VAs. Further research can also explore different aspects of consumer–VA interaction in different contexts.

The paper makes a significant contribution to hospitality management and human–computer interaction best practices. It supports technology providers to reconsider how to develop suitable technology solutions towards improving their strategic competitiveness. It also explains how to use VAs cost-effectively and profitably while adding value to travellers’ experience.

VA studies are often focussed on the technology in private households, rather than in commercial or hotel spaces. This paper contributes to the emerging literature on AI and IoT in smart hospitality and explores the acceptance and operationalisation of VAs. The research contributes to the conceptualisation of VA-enabled hotel services and explores positive and negative features, as well as future prospects.

语音（数码, 虚拟或者人工智能）(VAs) 助理能够识别真人声音和系统指令声音从而为人机互动提供助力。 本研究基于酒店业已有的案例探索了酒店和客人语言支持的互动的本质。本研究探索了关于客房服务的表现和实用性的顾客认知和顾客期望。

本研究借用了定性半结构化深入访谈来收集一手数据, 调查了酒店环境中的语音助理目前的运用情况和未来影响。本研究访谈了7位酒店科技服务提供者和21位有使用个人智能扬声器经验的酒店客人。本研究以供需模型来全方位解决此项问题。

研究结论强调了从双方使用者（酒店和客人）角度考量, 并且考虑到语音仪器带来的所有的优势和挑战的重要性。基于顾客之前对这些仪器的使用经验, 本论文深入阐述了对公共空间这些语音助理的使用功能。本分析证明了由AI技术支持下, VAs 可以灵活的识别语音。VAs理解词汇内容并且也懂得词汇作为数据助手来支持智能家庭的自动化以及履行商业职责背后的意义来。酒店从业人员可以尝试运用此科技来提高用户体验, 扩展运营空间和减少成本。从访谈的数据可以证明, 尽管还在初级阶段, VAs 科技已经对酒店运营优化和晋级客户服务做出了显著的贡献和成就。本研究提出了一项介于酒店和客人之间的VA 语言支持的互动模型。

之前的研究主要针对私人使用, 而不是商业或者酒店空间。考虑到敌对环境和客人和酒店的文化差异, 旅游和酒店成为了尤其有挑战性的领域。本研究通过语音识别革新了酒店服务。本研究针对VAs接受程度和运用进行详细研究从而为酒店领域的AI和IoT提供了专业文献。本文为酒店服务中的VAs使用做出了开拓性的调查并且探讨了正面以及负面的特征和未来展望。

本研究为酒店和旅游管理补充了文献, 尤其是在酒店业人机互动领域。本研究通过语音识别技术对酒店服务的转型革新做出贡献。此项研究可以受益于以酒店管理者为视角的进一步研究。相比于收集科技设备供应方的见解, 对酒店管理者进行访谈可以提供更直接的信息来了解酒店员工对数码语音助理和对语音科技的总体接受程度。

酒店经常寻求途径来提高和客户的互动。本论文对酒店管理和人机互动领域提供了应用典例。本研究提供了酒店客人针对语音设备功能性的总体评价作为有价值的信息, 进而帮助科技提供者来重新审视针对顾客需要从而量身定制服务的策略和方式。最终, 本研究在提高行业战略竞争力层面分享了关于发展和采用此项强大有力科技的见解。

There is a lack of research proving how electronic word-of-mouth (eWOM) is a valuable source of information in the hospitality industry for developing hotels' intellectual capital. To fill this gap, this study aims to examine hotel managers' decision-making processes regarding the acceptance and management of eWOM and its impact on the Italian hotel ecosystem.

This work takes advantage of the previous contributions to present a hotel's decision-making process model regarding structural capital. It includes eWOM as a context variable and changes implemented as a dependent variable in a comprehensive model. The structural equation modelling applies to a database obtained through a survey addressed to Italian hotel managers.

The results show that eWOM plays an essential role in managers' motivations to explain hotel changes implementation. The hotel leverages eWOM information and interaction through structural, relational and human capital to enhance products, services and strategies.

This work contributes to the extant literature by providing a comprehensive framework to explain the consequences of eWOM knowledge management from the intellectual capital view in the Italian hotel ecosystem.

For practitioners, this research demonstrates how hotel managers should accept and manage eWOM knowledge through intellectual capital to make determinant decisions that improve hotel performance.

There is a scarcity of research on modelling the acceptability and management of eWOM in the hotel ecosystem from practitioners' perspectives. This work is the first attempt to determine how eWOM knowledge management boosts hotel intellectual capital and improves service innovation and performance.

Amidst ongoing digital transformation, the current paper provides a 360-degree overview of technology-adoption in Tourism and Hospitality. By combining and consolidating a wide range of sources, mainly in the tourism literature, the analysis depicts how the complex technological ecosystem often enhances or hinders the successful adoption, integration and interoperability of different technologies.

The critical review method was used to assess, analyse and synthesise existing literature in the area of digitisation in tourism and hospitality. The critical review process included a thematic analysis of the literature, where recurring themes, patterns and trends were identified towards addressing the study’s research questions.

The analysis identifies current trends, opportunities, challenges and strategies for technology adoption in tourism and hospitality, the implications for theory, practicable executive directions and avenues for further research.

The paper’s main contribution lies in its comprehensive identification, consideration and incorporation of all primary contemporary technological elements, and the ensuing development of a corresponding conceptual charting framework, which illustrates a multifaceted process with practical implications for various stakeholders, including businesses, authorities, consumers and employees.

Entrepreneurship in the rural hospitality and tourism sector (RHT) has received wide attention in the past decade. However, a systematic review on this topic is currently lacking. This study aims to track the progress of the RHT and entrepreneurship literature by examining the various thematic research areas, identifying the research gaps and forecasting avenues of future research on the topic.

This paper catalogs and synthesizes the body of literature from the year 2000–2020 using a systematic literature review methodology. After discussing a brief history of RHT and entrepreneurship, the current study presents a review of 101 research articles.

The review highlights that RHT and entrepreneurship have received relatively limited attention from entrepreneurship journals. The content analysis revealed different gaps and limitations in the understanding of entrepreneurship in RHT, including a predominance of qualitative studies with limited theoretically-grounded and generalizable empirical studies. Furthermore, a high concentration of studies is from European countries. Six main thematic research areas were identified, namely, barriers and enablers, the roles of an entrepreneur, women in RHT, influencers of firm performance, innovation and value creation and methodological commonalities. The review also advances an RHT entrepreneurship ecosystem framework to summarize the findings.

Six promising research avenues are outlined based on the six themes identified. The suggested research questions draw from allied literature on small and medium businesses, innovation, women entrepreneurship and institutions to encourage the interdisciplinary cross-pollination of ideas. The findings are summarized in a novel research framework.

Memorable customer experience (MCE) is a key factor affecting customer loyalty and revisit intention. Hospitality managers must identify factors that create MCEs. This study aims to investigate relationships among perceived coolness, customer engagement and MCE and examine the mediation effect of customer engagement.

Two samples of 434 restaurant customers and 372 hotel customers in Taiwan returned questionnaires. Hypotheses were examined by structural equation modeling.

The results demonstrated that perceived coolness positively affected customer engagement and MCE and that customer engagement positively affected MCE. Furthermore, customer engagement mediated the relationship between perceived coolness and MCE.

This study is cross-sectional, which limits causal inference. Furthermore, this study only investigated customers of Taiwanese restaurants and hotels, and the findings may not be generalizable to other industries and countries.

This study contributes to the MCE knowledge in hospitality by elucidating the association among perceived coolness, customer engagement and MCE. The findings can aid hospitality managers in developing marketing strategies, fostering customer engagement and creating MCEs.