Jyoti Rana

Tourism marketers can examine their traveler's brain waves and how different stimuli affect them through using neuroscience in tourism, also referred as “neuro-tourism”. Neuro-tourism allows access to travelers' minds, giving us real-time insight into what they consciously and unconsciously feel. Neuromarketing methods such as brain–computer interface (BCI), eye tracking, galvanic skin reaction have been implemented in neuro-tourism for purposes of designing tourism products and services that increase visitors happiness and experience. Since neuro-tourism is relatively new and there are few studies on the topic, this chapter offered an indepth investigation of peer reviewed journal papers published within neuro-tourism research during the past years in order to highlight possible trends in this line of research and present implications for researchers.

Environmental Social Governance (ESG) merged with Digital Transformation has become one of the hottest research areas influenced by sustainability, technology, and business requirements. This paper aims to provide a comprehensive overview of ESG correlated with digital transformation through a systematic literature review and bibliometric analysis. Searches were conducted on the Scopus database using keywords associated with ESG, sustainability, AI, Industry 4.0, and digital keywords. Initially, 919 publications were found; after screening and eligibility assessment, 43 studies indexed in Scopus were included for final analysis. For bibliometric analysis, a three-stage thematic protocol consisting of assembling, arranging, and assessing was followed. Bibliometric analysis was performed by using Microsoft Excel, Bibliometrix (R Studio), and VOSviewer to demonstrate publication patterns, research areas, keywords with cluster analysis, research themes over time, and country-wise contribution to research.

Technological advances in artificial intelligence (AI) have transformed the beauty industry into what is now known as virtual try-on (VTO). Although current VTO technologies have prioritized improving many technological and security features, minimal research has focused on understanding how these features are distributed across and accepted by society. Nevertheless, for the beauty industry to prosper, there is a critical need to evaluate these technologies from a sociotechnical perspective by integrating end-user perceptions to inform future design. Here, we provide a novel study framework that leverages theories of Technology acceptance to understand how trust impacts end-users' behavioral intentions to use VTO. A sample of 574 VTO cosmetic users' data was analyzed via structural equation modeling. Results show that the usability facets of performance and effort expectancy and social aspects of presence and cognition impact trust.

Significant study regarding student mobility focuses on understanding what internationalization is, why it occurs and what effects it has on higher education. However, as shown in this chapter, student destinations also reflect the struggles that occur outside of campus regarding higher education and help display some of the tensions surrounding internationalization. This chapter provided details on how private colleges recruited foreign students to help boost tuition dollars. This paper also examined how race relations and inequalities can both be a product of and response to internationalization efforts. Understanding that global institutions can have agency as well when it comes to international education is important to understand.

This chapter presents a notion of the intelligence-enhanced workforce as the source of economic prosperity in the era of artificial intelligence. It creates a new model of AI-enhanced skills transformation, which combines the capabilities of a human mind, and algorithmic systems to enhance productivity and innovation. The chapter looks into the concept of reskilling, the collaboration between humans and AI, and adaptive learning ecosystems to reinvent the world of work and company performance. The chapter presents policy implications by connecting the improvement of skills to the quantifiable economic performance, thereby providing practical ideas to policy-makers, industry leaders, and educators. It ends with future research directions on the scalable workforce models and sustainable competitiveness in the rising algorithm economy.

The field of human capital management is undergoing a transformation due to generative AI that is redesigning tasks, decision making systems, and governing structures in digital organizations. The chapter constructs a mathematically based framework, which connects the levels of automation, human capital dynamics, the strength of governance, and maintenance of sustainability. It investigates the role of human-AI teamwork in the operations of performance and ESG impacts through joint productivity functionality, a modeling role based on constrained optimization, and task-level decomposition. In the analysis, the socio-technical and human capital theories are blended in an effort to explain the dynamics of adoption, leadership, and the institutional moderation. The chapter is conceptually clear and managerial with how to attain ethically controlled, sustainable, and humanistic AI transformation in modern workplaces.

The pace of AI usage among industrial systems is changing the nature of skills that are important, the organization of work, and the uniqueness of things that humans can bring to the table. This chapter presents ways of future-proofing the workforce through marrying human cognitive abilities with AI capabilities. It introduces the so-called concept of hybrid skills, a fusion of technical, interpersonal, ethical, and adaptive abilities, and the way they will be crucial in Industry 4.0/5.0 conditions. Based on the current empirical research, the chapter elucidates the new demands, gaps, and opportunities of upskilling, reskilling, and lifelong learning. Sectoral illustrations are used to look at the ways human-AI synergy enhances productivity and does not disadvantage human agency, creativity, and wellbeing.The purpose of the chapter is to give practitioners, educators, and policymakers a roadmap towards creating resilient workforces, able to continuously disruption-proof and to capitalize on the opportunities of the human-AI collaboration.

The goal of this chapter is to fill in the blanks about the purpose, significance, and potential of combining eye tracking study with AI. The main purpose of the work was to come up with a plan for how eye tracking and AI could be used together to improve marketing communication management. Our study used a structured literature review, online content analysis of eye tracking studies. Through the use of sensors and cameras that track the position and movement of the eyes while they gaze at an object, eye tracking technology helps to illustrate what is happening in a user interface by seeing and recording the movements of the subject's eyes. The system flashes infrared light into the eyes, which causes reflections on the pupil and cornea. Eye-tracking sensors record these reflections, process the data, and use algorithms to determine the user's gaze. The point of gaze provides insight into what is capturing and maintaining individual's attention by revealing where they stare on a screen or the surrounding area. As researchers and designers, this technology aids in our comprehension of how people perceive and absorb information. These days, neuromarketing is a relatively young field that is crucial to consumer research and marketing. Businesses thrive, particularly in the business world, on gaining a deeper understanding of the attitudes, emotions, and uncontrollable reactions of their potential clients. In these situations, it is highly beneficial for them to explore using AI in neuromarketing technologies as a study strategy. The findings of an eye-tracking experiment that examines how consumers respond to home service robots and their look are presented in this chapter.

This chapter aims to provide readers a insight on the growing usage of artificial intelligence in academic writing. The goal of this chapter is to take a close look at the part that Artificial Intelligence plays in Education 5.0, focusing on both its pros and cons. It talks about how AI technology is getting better, how it can be used in schools, and the change towards personalisation and adaptive learning. It also talks about the ethical issues that come up when using AI in schools.A qualitative analysis of available literature is used in the study. To do this, they need to look at case studies, business reports, and real-world evidence about how AI technologies are used and how they affect education. The study looks at many uses of AI, such as using AI algorithms to choose educational material, machine learning to grade students, and natural language processing to help people learn languages. The results show that AI makes learning a lot better by allowing personalised and adaptable learning, making students more interested, and giving them feedback that is specific to them.

This article aims to scrutinize the dynamics of scientific publications devoted to optimizing the customer journey in the retail sector through the application of artificial intelligence (AI) and determines the status of existing research on the role of AI in the retail sector. The research objective was to analyse the pool of scientific publications from the Scopus database to analyse how emerging technologies have improved customer journey (pre-purchase, purchase, post-purchase). The research employed a publication search by article title, abstract and keywords to collect the data set from the Scopus database. The selected publications were visualized using the software VOSviewer 1.6.16.0, and Biblioshiny to perform bibliometric analyses. An initial sample of 356 research articles was collected. After reading the abstract and full article, a final corpus of 149 scientific publications over two decades (1989–2021) was analysed in the study. Our findings suggest the prominence of authors and journal publishing in implementing AI in retail to automate customer journey. The results highlight how the application of AI fosters in improving the different phases of customer journey among the retailing sectors. Banking and fashion are the retailing sectors that have major applications of AI in the customer journey. Further studies should be conducted to gain deeper insights into the emerging use of AI in other sectors of the economy. It was also found from the intensive literature review that in the purchasing and decision-making phase of the customer journey, the deployment of AI is the most. This study analysed the incorporation of AI into the customer journey to highlight its impact on retailing. This study contributes to the literature by adding the lenses of AI in key management areas in retailing.