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The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action to adopt and diffuse innovation. The D&A of innovation is an inherently human activity; yet, artificially intelligent techniques can assist humans in six different ways, especially when operating in fifth generation ecosystems that are emergent, complex, and adaptive in nature.

Humans can use artificial intelligence (AI) to match solutions to problems, design for diffusion, identify key roles in social networks, reveal unintended consequences, recommend pathways for scaling that include the effects of policy, and identify trends for fast-follower strategies. The stability of the data that artificially intelligent systems rely upon will challenge performance; nevertheless, the research in this area has positioned several promising techniques where classically narrow AI systems can assist humans. As a result, human and machine interaction can accelerate the D&A of technological innovation to respond to crisis situations.

This chapter aims to highlight the existing applications and future prospects of Artificial Intelligence (AI) in the tourist business. In addition, this chapter investigates the obstacles in using AI in the Indian tourist industry.

To achieve the study's aims, both primary and secondary data are used. Using secondary sources, desk research was conducted to investigate the existing uses and future prospects of AI application in the global tourism industry. In addition, qualitative interviews with 25 executives in the Indian tourist business were undertaken to study the obstacles to using AI in the Indian tourism industry.

The research found that the applications of AI in the worldwide tourist business are extensive. Nonetheless, corporations are actively using AI-based technology to improve the customer experience via chatbots, intelligent forecasting and smart, tailored travel experiences. The qualitative interviews found that the implementation of AI technology in the Indian tourist industry is hindered by budgetary restrictions, knowledge constraints and barriers relating to human resources.

The use of AI in the tourism business may significantly improve the client experience. As a consequence, the use of AI-based chatbots and intelligent travel aides is growing exponentially. The research examined the many uses of AI in the worldwide tourist industry as well as the obstacles associated with the deployment of AI in the Indian tourism industry.

The aim of this chapter is to explore to what extent artificial intelligence (AI) could be introduced in new product development (NPD) process to support the decision making from the development to the launch of a new idea. Building on qualitative data from multiple cases from alcohol sector, the study reveals that AI could be introduced to reduce the risk of unsuccessful development and launch of a new product, supporting all the phases by systematically integrating feedbacks from the market. Specifically, AI can be used to create new recipes/flavours for alcohol drinks. Results also show that integrating AI from the idea scoping to the final product launch is feasible with the support of external stakeholders. The chapter concludes with some recommendations for theory and practice.

Purpose: To analyse the acceleration of artificial intelligence (AI) operations and robotic process automation (RPA) by comparing its market size and revenue worldwide during the pandemic and, measuring the impact of AI investment levels on jobs human resource functions, and analysing the role of AI in future work.

Design/Methodology: The archival data analysis technique is used to fetch data from sources like the Centre for Monitoring Indian Economy (CMIE), Statista, Deloitte, Mc Kinsey, Strata, Tractica, and IDC. Descriptive analysis with supporting literature has been contextually used for each objective which further establishes practical and theoretical implications of AI, intelligent process automation (IPA), and RPA in different industries during Covid-19 pandemic. This study analysed active scholarly articles from the Scopus database and presented results and findings.

Findings: The findings of the study state that emerging technologies such as AI, IPA, and RPA have a strong potential impact on market size, revenue, number of jobs, and investments levels during the pandemic. The global investment in AI is projected to witness an upsurge from 2018 to 2027, which significantly impacts the human workforce in various industries. The results of the study state that AI/RPA seems to be a crucial technological intervention, especially in times of the pandemic.

Originality/Value: This study contributes to the body of knowledge by constructing a base for understanding the pace of AI/RPA/IPA intervention and its significant impact on organisation process, structure, and people in different sectors. The timeline and forecast of this study intend to make industry consultants future to prepare to align themselves in an era of digital disruption.

The usage of AI-powered chatbots and virtual assistants facilitates seamless communication, offering instant responses to inquiries and enhancing customer satisfaction. In Japan, the hospitality industry is at the forefront of this AI-driven transformation and through collaborations with technology companies, hotels are deploying AI-powered concierge services, smart room automation, and language translation systems to cater to diverse guest needs. The integration of AI in Japan's tourism sector not only enhances operational efficiency but also showcases the country's commitment to innovation and delivering exceptional customer experiences. As Japan embraces AI in its hospitality industry, it navigates the delicate balance between leveraging technology and preserving human interaction and by combining the efficiency and accuracy of AI with the warmth and personal touch of human hospitality, Japan aims to redefine the future of tourism. Moreover, AI streamlines operations by automating repetitive tasks, optimising resource allocation, and improving efficiency in areas such as reservation management, inventory control, and demand forecasting. However, along with these benefits, there are significant challenges to consider. Privacy concerns arise as AI systems collect and process personal data, necessitating robust security measures to protect sensitive information. Ethical considerations must also be addressed, as the use of AI raises questions about transparency, bias, and accountability. Furthermore, while AI enhances efficiency, there is a concern about losing the human touch that has long been a hallmark of the hospitality industry. Balancing the benefits of AI with maintaining personalised and authentic guest experiences becomes a crucial challenge.

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.

Weapons systems and platforms guided by Artificial Intelligence can be designed for greater autonomous decision-making with less real-time human control. Their performance will depend upon independent assessments about the relative benefits, burdens, threats, and risks involved with possible action or inaction. An ethical dimension to autonomous Artificial Intelligence (aAI) is therefore inescapable. The actual performance of aAI can be morally evaluated, and the guiding heuristics to aAI decision-making could incorporate adherence to ethical norms. Who shall be rightly held responsible for what happens if and when aAI commits immoral or illegal actions? Faulting aAI after misdeeds occur is not the same as holding it morally responsible, but that does not mean that a measure of moral responsibility cannot be programmed. We propose that aAI include a “Cooperating System” for participating in the communal ethos within NSID/military organizations.