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This study explores the variables that drive the impact of artificial intelligence (AI) on the competitiveness of a tourism firm. The relationship between the variables is established using the modified total interpretive structural modelling (m-TISM) methodology. The factors are identified through literature review and expert opinion. This study investigates the hierarchical relationship between these variables.

The modified total interpretive structural modelling (m-TISM) method is used to develop a hierarchical interrelationship among variables that display direct and indirect impact. The competitiveness of a tourism firm is measured by investigating the effect of variables on the firm's financial performance.

The study identifies ten key factors essential for analysing the impact of AI on a firm's competitiveness. The m-TISM methodology gave us the hierarchical relationship between the factors and their interpretation. A theoretical TISM model has been constructed based on the hierarchy and relationship of the elements. The elements that fall in Level V are “AI Skilled Workforce”, “Infrastructure” and “Policies and Regulations”. Level IV includes the elements “AI Readiness”, “AI-Enabled Technologies” and “Digital Platforms”. Elements that fall under Level III are “Productivity” and “AI Innovation”. Level II and Level I comprise “Tourist Satisfaction” and “Financial Performance”, respectively. The levels indicate the elements' hierarchical level, with Level I the highest and Level V the lowest.

Tourism and AI scholars can analyse the given variables by including the transitive links and incorporate new variables depending upon future research. The m-TISM model constructed from literature review and expert opinion can act as a theoretical base for future studies to be conducted by researchers.

Management/Practitioners can focus on the available characteristics and capitalise on them while working on the factors lacking in their organisation to enhance their competitiveness. Entrepreneurs starting their own business can utilise the elements in understanding the ecosystem of strengthening a firm's competitiveness. They can work to improve on the aspects which are crucial and trigger the impact on competitiveness. The government and management can devise policies and strategies that encompass the essential factors that positively impact the competitiveness of the firms. The approach can then be looked at with a holistic approach to cater to the other related components of the tourism industry.

This study is the first of its kind to use the modified TISM methodology to understand the impact of AI on the competitiveness of tourism firms.

Intervention of artificial intelligence (AI) has brought up the issue of future job prospects in terms of the employability of the professionals and their readiness to harness the benefits of the AI. The purpose of this study is to recognize the implications of AI on employability by analyzing the issues in the health-care sector that if not addressed, can dampen the possibilities offered by AI intervention and its pervasiveness (Cornell University, INSEAD, and WIPO, 2019).

To get an insight on these concerns, an approach of total interpretive structural modelling, cross impact matrix multiplication applied to classification and path analysis have been used to understand the role of the critical factors influencing employability in the health-care sector.

This study primarily explores the driving-dependence power of the critical factors of the employability and displays hierarchical relationships. It also discusses measures which, if adopted, can enhance employability in the health-care sector with the intervention of AI.

Employability also has an impact on the productivity of the health-care service delivery which may provide a holistic opportunity to the management in health-care organizations to forecast the allocation and training of human resources and technological resources.

The paper attempts to analyze AI intervention and other driving factors (operational changes, customized training intervention, openness to learning, attitude toward technology, job-related skills and AI knowledge) to analyze their impact on employability with the changing needs. It establishes the hierarchical relationship among the critical factors influencing employability in the health-care sector because of the intervention of AI.

The study examines how young working women are motivated by online shopping. The study tests the relationship between Internet self-efficacy (ISE), website aesthetics, and purchase intention through perceived benefit. An investigation of the impact of perceived risk on purchase intention is also carried out.

The paper carried out a quantitative study based on a purposive sample of 180 working women from the Delhi-NCR region of India and used Structural Equation Modelling (SEM) to test hypotheses based on the extended TAM model.

Perceived benefit, website aesthetics, and ISE positively and significantly impact working women's purchase intention. The study also finds an indirect relationship between ISE and purchase intention through perceived benefit. Perceived risk has a negative and insignificant influence on working women's purchase intention for online shopping.

The study finding reflects that perceived website aesthetics fill the gap between offline and online environments. ISE makes shopping easy and increases the shopper's confidence. A mobile-optimized website with ease of navigation would increase women shoppers' conversion rates on mobile devices, leading to a favourable impact on revenue generation for online retailers.

Despite the vast literature on constructs derived from the TAM model, very few studies have researched young women consumers from an emerging economy perspective. The novelty of this research lies in identifying the factors that influence young working women's online shopping intention using smartphone through the glance of ISE and perceived aesthetics in the Indian context.

To explore building blocks of corporate value creation that can be effectively assembled by practicing managers to deconstruct corporate value creation into distinctive models (customer value creation and shareholder value creation) and stages (resource assembly and capability leverage) in the Indian Information Technology enabled Service (ITeS) industry for exploring efficiency differentials between large Indian ITeS companies.

Data envelopment analysis (DEA) technique has been used to uncover efficiency differentials in large Indian ITeS companies that represent 90% of all the ITeS companies listed in the Indian stock market and 13.9% of all companies listed in the Indian stock market, across industries.

This paper documents a nuanced understanding of interrelationships among activities that influence corporate value creation and comprehensively highlight those dominant activities that contribute to corporate value creation in an ITeS industry setting. The study demonstrates as to how companies can become more efficient in such crucial value creating components that result in superior corporate value. The explicating methodology proposed in this study can be handy for managers and can be extrapolated to other industry and national settings as well.

Deconstructing corporate value creation into granular models, customer value creation and shareholder value creation and further into two stages, being assembling resources to create capabilities and leveraging such capabilities to deliver value, this study provides hands-on value for managers in ITeS companies to create value.

Fusing the value creation and appropriation (VCA) framework, the resource-based view (RBV) and its extensions, this paper builds a robust theoretical model specification that is empirically tested.

Appendix 1: Comic Frames A At the end of the case study discussion, students will able to as follows: Explain various growth strategies as a potential unicorn with the exponential growth mindset rather than linear growth mindset through adaptation of Massive Transformative Purpose (MTP) and Moonshot Thinking (MT). Demonstrate innovative and creative plans and ideas, with the ability to scale up in the circular economy. Review and summarize the power of Collaborative Innovation (CI). Compare and contrast different ways in dealing with Hedgehog and Fox style of leadership into the business. Appendix 2: Comic Frames B At the end of the case study discussion, students will able to as follows: Act with a growth strategy as a potential unicorn with the exponential growth mindset rather than linear growth mindset through adaptation of MTP and MT. Simulate innovative and creative plans and ideas, with the ability to scale up in the circular economy. Assess and leverage the power of CI. Decide and differentiate in dealing with Hedgehog and Fox style of leadership into the business.

Ankit Tripathi, was a compassionate 22-year-old, the typical lad from New Delhi, India, who seemed driven to change the world. His elder brother Atul Tripathi, a young, creative 25-year-old, was sat there next to him, beaming with pride and gratitude. Both brothers, being mechanical engineering graduates, had experienced the advancement of technology at the cost of Mother Earth. It pained them no end. It was the reason that Atul had refused to serve as an engineer in a government institution after graduating. The parents were shocked when Ankit followed suit. The brothers were poles apart in their personality and temperament, and it was rare to see them agree on anything in this way. Yet, they agreed to disagree with their parents and ventured into becoming entrepreneurs with a purpose and passion to salvage the environment. They had a vision, but without a proper roadmap, it would certainly be a tough game. Nevertheless, they boldly embarked upon their journey and established their start-up “Uneako” in 2019. “Uneako” was a calculated risk, taking into account family resistance (parents’ attitude/perception), personal conflicts (psychological), financial limitations (resources), shallow expertise (professionalism), social concern acceptability and low awareness (environment), government regulations (legalities/approvals), conflicts between brothers (personality issues), etc. Being from a nonbusiness family, the brothers had defied the wave of obstacles and challenges in daring to start their own business, putting at stake the hard-earned money of their father, Satendra Tripathi. Amidst so much social mockery, would Atul and Ankit succumb and become a laughing stock or would they find something that they could live and die for?

Appendix 1: Comic Frames A: This case has been particularly focused on undergraduate level students pursuing business or commerce programs. Especially those studying core courses, for example, entrepreneurial and strategic management. Appendix 2: Comic Frames B: This case has been particularly focused postgraduate-early stage or higher level students pursuing business or commerce programs. Particularly those specializing in entrepreneurial and strategic management courses. Also, can be taught in the entrepreneurial or start-up workshops.

www.pewresearch.org/topics/generation-z/ Paulynice. J.P., (2019) “From Idea to Reality: An Entrepreneur’s Guide to Meaningful Business Growth” Paulynice Consulting Group. Hardy.D., (2015) “The Entrepreneur Roller Coaster: It’s Your Turn to Join The Ride” Success Publishers. Wadhwa.V., Amla.I., Salkever.A., (2020) “From Incremental to Exponential” Berrett-Koehler Publishers. Sustainable Entrepreneurship: Business Success through Sustainability edited by Christina Weidinger, Franz Fischler, René Schmidpeter, Springer 2014. Teaching notes are available for educators only.

CSS 3: Entrepreneurship.