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The rapid growth in volume and value of on-demand restaurant food delivery, accelerated by the COVID-19 pandemic, is causing a paradigm shift in the food service sector. However, there is a lack of hospitality management research into this emerging phenomenon. To address this gap, this paper defines and develops a novel conceptual model and typology and proposes a research agenda for ghost production in the context of food service.

This paper uses the Servuction model to explore, define and model the radical separation between food service production sites, points of sale and consumer interaction from the perspective of on-demand restaurant food delivery. A novel typology is developed and illustrated with eight industry examples from the UK and an accompanying cost benefit analysis. Future research priorities are identified.

In the hospitality literature, little attention has been paid to changes on-demand restaurant food delivery brings to production and business models of food service organisations, resulting in significant gaps between food service practice and theory. The knock-on effects to stakeholders include increased convenience for customers, uncertain employment status of riders and, for restaurants, striking a balance between capturing new markets and losing control of the customer. Additionally, for aggregators, there is a lack of profitability in existing models, despite holding the balance of power (and data).

The concept of “ghost production” and its associated typology is novel and offers a contribution to hospitality management literature by defining the term, scope and scale of this new phenomenon. Practical implications are proposed.

The use of artificial intelligence (AI) in the workplace is on the rise. To help advance research in this area, the authors synthesise the academic research and develop research propositions on the antecedents and consequences of AI adoption and application in the workplace to guide future research. The authors also present AI research in the socio-technical system context to provide a springboard for new research to fill the knowledge gap of the adoption and application of AI in the workplace.

This paper summarises the existing literature and builds a theoretically grounded conceptual framework on the socio-technical system theory that captures the essence of the impact of AI in the workplace.

The antecedents of AI adoption and application include personnel subsystem, technical subsystem, organisational structure subsystem and environmental factors. The consequences of AI adoption and application include individual, organisational and employment-related outcomes.

A research agenda is provided to identify and discuss future research that comprises not only insightful theoretical contributions but also practical implications. A greater understanding of AI adoption from socio-technical system perspective will enable managers and practitioners to develop effective AI adoption strategies, enhance employees' work experience and achieve competitive advantage for organisations.

Drawing on the socio-technical system theory, the proposed conceptual framework provides a comprehensive understanding of the antecedents and consequences of AI adoption and application in the work environment. The authors discuss the main contributions to theory and practice, along with potential future research directions of AI in the workplace related to three key themes at the individual, organisational and employment level.

Virtual spaces, commonly referred to as the Metaverse, are predicted to disrupt consumption patterns in tourism, hospitality and events (THE) by shifting some user experiences to a virtual world. Scholarly investigations are necessitated to aid in an understanding of virtual spaces and the implications of their consumption for THE industries. This viewpoint outlines a provisional research agenda on virtual spaces.

To inform its arguments, this viewpoint draws upon academic and grey literature surrounding the emerging topic of the Metaverse in THE industries.

The research agenda should consider four perspectives representing different actors of THE value chain, i.e. developers/suppliers, THE business professionals, customers and policymakers. The research agenda should also incorporate the wider spillover effects of consumption of virtual spaces which may stretch well beyond THE industries.

This viewpoint outlines some research directions which may aid different actors of THE value chain alongside academics in better understanding the emerging phenomenon of virtual spaces and comprehend the opportunities and challenges associated with their uptake by THE industries.

Using the Delphi technique, this paper aims to investigate how human resource experts perceive service robots will impact leadership and human resource management in the hospitality industry.

A three-stage Delphi study with hotel industry human resource experts was conducted to identify the key trends and major challenges that will emerge in the next ten years and how leaders should deal with the challenges brought about by service robot technologies.

The results show that while service robots are anticipated to increase efficiency and productivity of hotel activities, they may also pose challenges such as high costs, skill deficits and significant changes to the organizational structure and culture of hotels. Therefore, the anticipated applications and integration of robotic technology will require leaders of the future to carefully consider the balance between the roles of service robots and human employees in the guest experience and to nurture a work environment that embraces open-mindedness and change.

This is the first type of study to examine hospitality leadership and human resource management in the context of robotized hotels. This study has taken an important step to understand the leadership role in robotized hotels from a human resource perspective and brings clarity as to how robotic technology can influence leadership in the future workplace.

Although virtual worlds, such as the Metaverse, can disrupt the hospitality sector, few empirical investigations have critically evaluated the scope and scale of this disruption from an industry perspective. This study aims to rectify this knowledge gap by exploring the opportunities and challenges of the Metaverse as seen by hospitality professionals.

This is a Delphi study conducted with UK-based senior hospitality industry practitioners experienced in designing and implementing digital innovations within their organisations.

The Metaverse is most likely to be adopted by hospitality organisations willing and able to take risks, such as large and/or chain-affiliated enterprises. The Metaverse will not replace traditional hospitality services but supplement and enhance them with new layers of service. The main applications are in the context of events and experiences. The Metaverse will also provide the “try before you buy” option, revealing the opportunities to design digital twins of physical businesses. Young and technology-savvy individuals are most likely to first adopt the Metaverse. The key challenges of the adoption are attributed to the technological unpreparedness of hospitality organisations; market immaturity; inflated customer expectations; a skills gap among hospitality employees; and regulatory issues. These challenges require the engagement of various stakeholders to create an operational and monitoring framework for hospitality organisations to embrace the Metaverse.

This study highlights how the Metaverse can disrupt the hospitality industry at the level of strategic planning and business operations.

To the best of the authors’ knowledge, this is one of the first empirical investigations of the potential of the Metaverse from the viewpoint of hospitality industry practitioners.

Introduction The purpose of this monograph is to describe a practical process for the assessment of management development in organisations. This aim is achieved through the examination both of a framework for looking at management development in practice, and a specific procedure—the Management Development Audit—by which organisations may obtain data of direct use in the assessment of their management development systems, analysed in a way which will encourage recommendations and strategies for change. Although the monograph focuses specifically on the Management Development Audit, it is also intended to stimulate the reader's thinking in terms of examination and reflection upon their own management development systems. This may be best achieved by reflecting carefully upon the kinds of questions and issues to which the Management Development Audit addresses itself.

Computer‐aided design is being used for robotics at Thorn‐EMI.

Despite the variety of supply chain management (SCM) research, little attention has been given to the use of Big Data Analytics for increased information exploitation in a supply chain. The purpose of this paper is to contribute to theory development in SCM by investigating the potential impacts of Big Data Analytics on information usage in a corporate and supply chain context. As it is imperative for companies in the supply chain to have access to up-to-date, accurate, and meaningful information, the exploratory research will provide insights into the opportunities and challenges emerging from the adoption of Big Data Analytics in SCM.

Although Big Data Analytics is gaining increasing attention in management, empirical research on the topic is still scarce. Due to the limited availability of comparable material at the intersection of Big Data Analytics and SCM, the authors apply the Delphi research technique.

Portraying the emerging transition trend from a digital business environment, the presented Delphi study findings contribute to extant knowledge by identifying 43 opportunities and challenges linked to the emergence of Big Data Analytics from a corporate and supply chain perspective.

These constructs equip the research community with a first collection of aspects, which could provide the basis to tailor further research at the nexus of Big Data Analytics and SCM.

The research adds to the existing knowledge base as no empirical research has been presented so far specifically assessing opportunities and challenges on corporate and supply chain level with a special focus on the implications imposed through Big Data Analytics.

This case presents students with an opportunity to develop a set of performance metrics based on four strategic goal statements. The setting is a highly ranked U.S. MBA program. Students are given some basic, limited-but-sufficient contextual information about the school to get a sense of its heritage, avowed differentiating characteristics, and important foci.