Alhamzah Alnoor, Gül Erkol Bayram, Chew XinYing and Syed Haider Ali Shah
This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and…
Abstract
This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including AI, regenerative and green destinations, sustainable tourism, tourist motivations and expectations, good examples of smart destinations and regions, the regeneration of the tourism industry via AI, rethinking tourism activities and products, current issues in robots, self-service technology, effect of pandemic on smart destinations, sustainable gastronomy and regenerative tourism and tourism issues are discussed in the management plans of the centralisation. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after technological development of tourism and increasing interest on smart destinations from a responsible perspective, for readers with an equitable interest or involvement with the organizations in inquiry.
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Kamran Jamshed, Syed Haider Ali Shah, Fedwa Jebli and Basheer M. Al-Ghazali
The development of ‘smart destinations’ has fundamentally altered the travel and tourism sector by making trips more individualised and enhancing overall operational…
Abstract
The development of ‘smart destinations’ has fundamentally altered the travel and tourism sector by making trips more individualised and enhancing overall operational effectiveness. Using (AI) technology in the creation of smart destinations has provided the tourism industry with the opportunity to reimagine and redevelop tourism in a way that is both environmentally responsible and technologically advanced. This chapter investigates the use of AI and smart destinations in China and Hong Kong with the goals of enhancing tourist experiences, boosting environmental sustainability, and propelling economic expansion. AI and smart destinations have greatly impacted China and Hong Kong tourism. AI has improved tourism, customer service, and trip recommendations while intelligent destinations reduce carbon emissions and promote ecotourism to sustain tourism. AI and intelligent locations boost visitor satisfaction and economic growth. As the tourism industry faces future challenges, AI technology and smart destinations will be crucial to creatively and sustainably rebuild tourism. Smart locations and AI have transformed tourism by offering customised, efficient, and environmentally responsible travel experiences.
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Adel Omar, Alaa Al-shari, Syed Haider Ali Shah, Gül Erkol Bayram, Eman Zameer Rahman and Marco Valeri
Drawing on the resource-based view, ecological modernization theory and upper-echelon theory, this study aims to explore how green manufacturing practices (GMGP) affect the…
Abstract
Purpose
Drawing on the resource-based view, ecological modernization theory and upper-echelon theory, this study aims to explore how green manufacturing practices (GMGP) affect the sustainable performance of small and medium enterprises (SMEs).
Design/methodology/approach
It also examines the mediating role of green innovation (GIN) and the moderating role of managerial discretion (MD). To test the hypothesized model, the data was collected from 394 manufacturing SMEs though survey and analyzed using SPSS and AMOS (SEM).
Findings
The results provide evidence for the positive relationship between GMGP and corporate sustainable performance (CSPR), mediated by GIN. Furthermore, the presence of MD enhances the positive effect of GMGP on CSPR through GIN. Thus, this study enhances the understanding of the relationship between GMGP and CSPR, including its underlying mechanism and conditional effects.
Research limitations/implications
This study collected sample from SMEs located in Punjab province of Pakistan which represents majority of the SMEs; however, future research can take data from other province and with large sample size.
Practical implications
The findings highlight the significance of GMGP and GIN in the manufacturing sector for attaining CSPR goals. GMGP guides business leaders to be more inclined toward the energy and resource consumption as well as waste generation within their organizations which lead to improved CSPR outcomes.
Originality/value
The findings of this study make significant contributions to the existing literature, shedding light on the dynamics between GMGP and CSPR. Moreover, the study offers managerial implications for organizations aiming to enhance their sustainable performance by implementing effective GMGP.
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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.
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Eman Zameer Rahman, Shahab Aziz, Syed Bilawal Ali Shah and Andi Asrifan
This chapter examines the effect of the Regenerative Tourism Movement on the global industry and the role of Artificial Intelligence (AI) in driving sustainability and innovation…
Abstract
This chapter examines the effect of the Regenerative Tourism Movement on the global industry and the role of Artificial Intelligence (AI) in driving sustainability and innovation. The Regenerative Tourism Movement represents a paradigm shift in the tourism industry, focussing on the interconnectedness of economic, social, cultural, and environmental well-being. This approach aims to generate positive impacts on local systems by fostering partnerships, diversity in local economies, and transformative experiences for travelers. This chapter explores the key principles and nature-based solutions associated with regenerative tourism. Additionally, it delves into the role of AI in the tourism sector, highlighting its potential to enhance sustainability practices, deliver personalised experiences, and streamline operations. Various AI tools and technologies, such as data analytics, machine learning, natural language processing, computer vision, IoT integration, recommender systems, optimisation algorithms, blockchain technology, and AR/VR, are discussed in the context of regenerative tourism. This chapter concludes by outlining the benefits of AI in sustainable and regenerative tourism, emphasising reduced environmental impact, enhanced efficiency, and improved customer service. It also highlights the challenges and considerations associated with AI adoption in the tourism industry. Recommendations for the integration of AI-driven solutions and future directions for research in this field are provided, aiming to inspire further exploration and implementation of AI in regenerative tourism.
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Eman Zameer Rahman and Syed Haider Ali Shah
This chapter examines the significance of green innovation and technologies for sustainable business in Asia, focussing on the issues and challenges confronted by contemporary…
Abstract
This chapter examines the significance of green innovation and technologies for sustainable business in Asia, focussing on the issues and challenges confronted by contemporary sustainable business models. The concept of sustainable development is introduced, which seeks to minimize negative impacts on ecosystems and preserve the environment for future generations. This chapter's methodology entails a comprehensive review of existing literature and research on green innovation, green technology, and sustainable business models in Asia. The expansion of ‘green’ energy is directly proportional to the global demand for energy resources. Understanding how green innovation influences a company's capacity for sustainable development is essential for identifying the factors that influence sustainable business models and their economic consequences. Green innovation practices encompass a variety of factors, including government regulations, preferences, supplier competence, and consumer concerns. Green technologies, such as green human resource management (HRM) practices and green innovation practices, play a crucial role in attaining sustainable development by conserving energy, protecting the environment, and enhancing business efficiency. Businesses that adopt green innovation acquire a competitive edge and enhance their performance. This chapter emphasizes the importance of green innovation research and application for business stability in Asia, where sustainability and green concepts are acquiring momentum. Customer, government, and societal pressures further emphasize the significance of green innovation in businesses. For the success of ecological innovation practices, collaboration and knowledge-sharing among various stakeholders are crucial. The adoption of green innovation practices is influenced by external environmental impacts, stakeholder pressure, and organizational support. Green technology innovation, which concentrates on resource conservation, energy efficiency, and environmental protection, is crucial to the sustainability of a business. This chapter concludes by emphasizing the importance of business sustainability in achieving environmental and economic goals and assuring sustainable corporate development. Long-term success requires an understanding of the process of value creation, delivery, and capture within sustainable business models.
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Muhammad Faisal Sultan, Muhammad Nawaz Tunio, Muhammad Furquan Saleem and Mirza Kashif Baig
Sustainable development is the part of every context of life. However, these is a lack of serious attention on the concept of sustainable tourism. Therefore, issues like cultural…
Abstract
Sustainable development is the part of every context of life. However, these is a lack of serious attention on the concept of sustainable tourism. Therefore, issues like cultural disintegration, inequality of shared benefits and lack of conservation of resources for future have been evident regularly. Similar is the case of Asian market although lack of research and publication under this vein is one of the major reasons for lack of user or readers knowledge. Therefore, this chapter has been written purposively in order to discuss the concept, theories, problem as well as factors behind sustainable tourism with special focus towards the factors that are causing problem in development and managing of tourism destination. Although to make the chapter interesting and important, authors try to relate the work with hurdles in India and Pakistan. Therefore, the significance of the study has many folds as it does not only initiate further research work but also optimize policymaking and entrepreneurial activities in way that will suit and support sustainable tourism practices.
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Syed Haider Ali Shah, Nosheen Rafique, Sharjeel Saleem, Rafia Amjad and Bilal Arshad
The chapter is about the revamping of the hospitality and hotel industry in the South East Asian Region after the COVID-19 pandemic. The hotel industry contributes largely to the…
Abstract
The chapter is about the revamping of the hospitality and hotel industry in the South East Asian Region after the COVID-19 pandemic. The hotel industry contributes largely to the GDP of the economy. Therefore, the success of this industry is mandatory for the development of a country. The reconstruction of this sector depends upon the advanced techniques and practices to boost up this sector after crisis. Therefore, to implement such practices highly depends upon the highly educated and aware managers. This chapter focuses on how crisis management plan revamps this industry after the greatest destruction.