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Article
Publication date: 5 October 2023

Yong Rao, Meijia Fang, Chao Liu and Xinying Xu

This study aims to explore a new restaurant category’s development from birth to maturity, thereby explaining the rationale for category innovation strategies.

341

Abstract

Purpose

This study aims to explore a new restaurant category’s development from birth to maturity, thereby explaining the rationale for category innovation strategies.

Design/methodology/approach

The authors conducted a qualitative case study analysis of the New Chinese-style Fusion Restaurant category’s development from birth to maturity. Thematic analysis was conducted on data collected from semi-structured interviews and textual information.

Findings

A new restaurant category’s maturation is determined by the formation of society’s shared knowledge about the category’s crucial attributes, which is an outcome of market participants’ category-related social practices. The authors develop a novel, four-stage framework for the socialized construction of this shared knowledge: a knowledge creation (KC), knowledge diffusion (KD), knowledge integration (KI) and knowledge structuralization (KS). This knowledge evolution along this KC–KD–KI–KS sequence can holistically describe the category maturation process. This framework can help understand the rationale for a restaurant category’s maturation by analyzing the interrelationships among market participants’ social practices, knowledge-related activities and market development.

Research limitations/implications

This study explains how market participants’ knowledge-related activities facilitate a new restaurant category’s maturation. This can help restaurant managers cope with increasingly homogeneous competition by applying a category-innovation strategy.

Originality/value

This study extends product categorization research on restaurants by articulating a product category’s maturation process from a knowledge perspective.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 7
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 8 February 2022

Xinying Yu, Shi Xu and Mark Ashton

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Information Technology & People, vol. 36 no. 1
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 1 August 2005

Degan Zhang, Guanping Zeng, Enyi Chen and Baopeng Zhang

Active service is one of key problems of ubiquitous computing paradigm. Context‐aware computing is helpful to carry out this service. Because the context is changing with the…

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Abstract

Active service is one of key problems of ubiquitous computing paradigm. Context‐aware computing is helpful to carry out this service. Because the context is changing with the movement or shift of the user, its uncertainty often exists. Context‐aware computing with uncertainty includes obtaining context information, forming model, fusing of aware context and managing context information. In this paper, we focus on modeling and computing of aware context information with uncertainty for making dynamic decision during seamless mobility. Our insight is to combine dynamic context‐aware computing with improved Random Set Theory (RST) and extended D‐S Evidence Theory (EDS). We re‐examine formalism of random set, argue the limitations of the direct numerical approaches, give new modeling mode based on RST for aware context and propose our computing approach of modeled aware context.In addition, we extend classic D‐S Evidence Theory after considering context’s reliability, time‐efficiency and relativity, compare relative computing methods. After enumerating experimental examples of our active space, we provide the evaluation. By comparisons, the validity of new context‐aware computing approach based on RST or EDS for ubiquitous active service with uncertainty information has been successfully tested.

Details

International Journal of Pervasive Computing and Communications, vol. 1 no. 3
Type: Research Article
ISSN: 1742-7371

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Book part
Publication date: 9 July 2024

Adel Omar, Alaa Last El-shari, Samrah Jamshaid and Gül Erkol Bayram

The hospitality industry has been debating the merits of sustainable tourism for some time, but more and more people are becoming interested in regenerative tourism. The concept…

Abstract

The hospitality industry has been debating the merits of sustainable tourism for some time, but more and more people are becoming interested in regenerative tourism. The concept of regenerative tourism goes beyond that of sustainable tourism in that it seeks to restore and regenerate both the natural environment and the communities in which it operates. The Chinese hospitality industry has been expanding at a rapid rate and has the potential to adopt practices that are associated with regenerative tourism. This chapter investigated the hospitality industry of China and the shift from sustainable tourism to regenerative tourism. Consumer expectations, government programmes, and AI are driving this shift from sustainable to regenerative tourism. Despite the challenges of transitioning tourism from sustainable to regenerative, many Chinese initiatives and programmes are helping the environment and communities.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Nangyalay Khan, Waleed Khan, Muhammad Humayun and Arab Naz

The current study is a review-based analysis combined with some case studies that focuses on establishing a link between artificial intelligence (AI) and the emerging trends of…

Abstract

The current study is a review-based analysis combined with some case studies that focuses on establishing a link between artificial intelligence (AI) and the emerging trends of regenerative tourism and green destinations. Regenerative tourism and green destinations are the new hallmark, promoting sustainability in the travel industry by restoring ecosystems and encouraging friendly practices. The incorporation of AI into sustainable tourism has a potential to revolutionize how one can approach tourism by providing customer experiences and to contribute towards a sustainable future. AI has naturally found its place in industries due to the advancements in data analysis and computing power. In the context of tourism, AI’s data-driven capabilities are discussed in the current review, to showcase how they enable recommendations for intelligent automation and efficient resource management. With the implementation of AI-powered technologies, tourism operations become more efficient, providing opportunities for sustainable development and conservation in green destinations. The integration of AI in destinations encompasses applications such as energy management, waste reduction, transportation optimization and sustainable resource management. These AI-driven solutions play an important role in minimizing the impact caused by tourism activities while conserving natural resources. Additionally, AI facilitates delivering experiences that align with eco-values through recommendation systems and virtual assistants. The chapter tackles issues related to AI such as protecting data privacy, addressing biases dealing with job displacement and ensuring cultural relevance. It emphasizes the significance of inclusive implementation of AI and explores the challenges faced when implementing AI solutions in developing regions that have limited resources.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Book part
Publication date: 9 July 2024

Shakeel Basheer, Sandeep Walia, Danish Mehraj, Sheezan Farooq and Murtaza Ahmad Reshi

The integration of tourism, artificial intelligence (AI) and travel has ushered in a new era of exploration. This book chapter delves into their interconnectedness and their…

Abstract

The integration of tourism, artificial intelligence (AI) and travel has ushered in a new era of exploration. This book chapter delves into their interconnectedness and their transformative influence on the future of tourism. Firstly, it examines the concept of the metaverse – a virtual realm that enables immersive interactions between users and their surroundings. This virtual world presents novel opportunities for the travel sector, allowing tourists to experience destinations in captivating ways, without the constraints of physical travel. AI plays a pivotal role in the advancement of tourism, processing vast amounts of data to offer personalized recommendations, streamlining travel planning and providing round-the-clock customer service through AI-powered chatbots. Additionally, AI contributes to the development of virtual tour guides, offering tailored experiences based on travellers' interests, preferences and abilities. However, the chapter also addresses the broader implications of these technologies on the tourism industry, considering potential job displacement and economic impacts on local communities. It concludes by emphasizing the importance of utilizing these innovations in a manner that benefits both travelers and localities. In summary, this chapter provides an extensive exploration of the convergence of tourism, AI and travel, shedding light on the potential for growth and innovation in the industry while acknowledging the challenges and considerations associated with the metaverse in tourism and travel.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

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Article
Publication date: 31 January 2022

Alhamzah Alnoor, Hadi Al-Abrrow, Hussam Al Halbusi, Khai Wah Khaw, XinYing Chew, Marwa Al-Maatoq and Raed Khamis Alharbi

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a…

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Abstract

Purpose

The internet creates ample opportunities to start a mobile social commerce business. The literature confirms the issue of customer trust for social commerce businesses is a challenge that must be addressed. Hence, this study aims to examine the antecedents of trust in mobile social commerce by applying linear and non-linear relationships based on partial least squares structural equation modeling and artificial neural network model.

Design/methodology/approach

This study applied a non-linear artificial neural network approach to provide a further understanding of the determinants of trust in mobile social commerce based on a non-linear and non-compensatory model. Besides, a questionnaire was distributed to 340 social commerce customers in Malaysia.

Findings

The conceptual framework for investigating trust in mobile social commerce has various advantages and contributions to predicting consumer behavior. The results of the study showed there is a positive and significant relationship between social support, presence and unified theory of acceptance and use of technology2 (UTAUT2). In addition, UTAUT2 has fully mediated the relationship between social support, presence and trust in social commerce. Finally, the results concluded the relationship between UTAUT2 and trust in social commerce would be stronger when the diffusion of innovation and innovation resistance is high and low, respectively.

Research limitations/implications

The current study provides a novel perspective on how customers can trust social m-commerce to provide real solutions to managers of encouraging e-marketing among consumers.

Practical implications

This paper shows how businesses can develop trust in social m-commerce in Malaysian markets. The findings of this study probably could be extended to other businesses in Asia or other countries. Because trust in social e-commerce has a dynamic role in consumer behavior and intention to purchase.

Originality/value

This study provided a new perspective on mobile social commerce and paid more attention to an investigation of such emerging commerce. The originality of this study is embodied by investigating an integrated model that included different theories that presented new directions of trust in mobile social commerce through social and behavioral determinants.

Details

Competitiveness Review: An International Business Journal , vol. 32 no. 3
Type: Research Article
ISSN: 1059-5422

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Book part
Publication date: 9 July 2024

Muhammad Imran Afzal, Sanaullah Al.Azhari, Rabia Kishwer and Syed Bilawal Ali Shah

The growth of sustainable tourism has emerged as a major topic of discussion on a global scale, and the hospitality industry is playing a crucial part in the achievement of this…

Abstract

The growth of sustainable tourism has emerged as a major topic of discussion on a global scale, and the hospitality industry is playing a crucial part in the achievement of this goal. The hospitality industry in China is experiencing rapid growth, and with the assistance of artificial intelligence (AI), the country may be able to realize sustainable growth in the tourism sector. Within the context of the Chinese hospitality industry, this chapter investigated the role AI plays in promoting sustainable tourism and how the Chinese government is supporting the hospitality industry in doing so. Sustainable tourism practices increase travellers' trip experiences while protecting the environment and local people; however, China could invest more in AI technology to promote sustainable tourism, which might benefit the economy, environment and society. This chapter examines AI deployment in the Chinese hotel industry and its challenges and benefits. AI technology can increase service quality, operational efficiency and hospitality operators' competitiveness, according to the authors. AI application requires careful consideration of employee training, ethics and customer privacy.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

Keywords

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Book part
Publication date: 9 July 2024

Suat Arpacı

The tourism sector is one of the fastest growing sectors in recent years according to the World Tourism Organization. In recent years, there have been an increasing number of…

Abstract

The tourism sector is one of the fastest growing sectors in recent years according to the World Tourism Organization. In recent years, there have been an increasing number of disasters and crises. There are many factors affecting the tourism sector, from natural events to human impact. Tourism sector has suffered great damage from national and global crises. The Gulf War in 1991, the tsunami disaster in 2004, the global economic crisis in 2009 and the pandemic in 2019 can be given as examples of events that negatively affected tourism. The tourism sector in the world has faced the pandemic, which is the biggest global shock in recent times. This situation reinforces the need for tourism businesses and stakeholders to be prepared for crisis and pandemic. With the globalization of the tourism industry and the world becoming more interdependent and interconnected, it is a fact that crises occurring in one part of the world can affect tourism activities in a wider area or worldwide. Since tourism is not at the top of peoples list of needs, it is one of the first plans that tourists will change and cancel as soon as they perceive a threat to themselves. Therefore, the tourism sector is highly sensitive to crises and pandemics. In the face of crisis sensitivity, the tourism sector is also very skillful in eliminating the effects of the crisis as soon as possible. In this study, the impact of crisis and pandemic on the destination in the tourism sector will be explained with examples from some crisis and pandemic cases, and the requirements of tourism enterprises for crisis and pandemic preparedness will be underlined.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

Keywords

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Book part
Publication date: 9 July 2024

Maria Ahmed Ajaz, Aiza Saeed, Ayesha Yaseen, Aleena Syed and Muthmainnah

The tourism industry is undergoing a rapid transformation brought on by artificial intelligence (AI), which is offering a wide range of benefits to both businesses and their…

Abstract

The tourism industry is undergoing a rapid transformation brought on by artificial intelligence (AI), which is offering a wide range of benefits to both businesses and their customers. Nevertheless, this technological advancement also poses a number of difficulties for which the sector will need to find solutions. This chapter investigates the effects that artificial intelligence (AI) has had on the tourism industry in Europe, with a particular focus on how the hospitality industry has reacted to the advent of this technology. Following an overview of the tourism and hospitality industries in Europe, this chapter begins with an introduction to artificial intelligence (AI) in the tourism industry. The section on the methodology describes the various approaches to research that were utilised in this study, and the section on the conclusion summarises the findings.

Details

The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Type: Book
ISBN: 978-1-83753-746-4

Keywords

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