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The objective of this research work is to study the artificial intelligence (AI)-based product benefits and problems of the agritech industry. The research variables were developed from the existing review of literature connecting to AI-based benefits and problems, and 90 samples of primary data from agritech industry managers were gathered using a survey of a well-structured research questionnaire. The statistical package of IBM-SPSS 21 was utilized to analyze the data using the statistical techniques of descriptive and inferential statistical analysis. Results show that better information for faster decision-making has been ranked as the topmost AI benefit. This implies that the executives of agritech units have a concern about the quality of decisions they make and resistance to change from employees and internal culture has been ranked as the topmost AI problem.

Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

The COVID-19 pandemic forced us not only to think but also to pause and objectively reflect on how to deal with the situation that has arisen and how to develop well-being and resilience strategies for the welfare of humanity at large. We long to be in those vicinities where we want to calm our minds in the quest for a deeper meaning of one existence. It can be a nature-based destination, a pilgrim destination or a part of a religious tour depending on one's faith, belief and orientation towards spirituality and bliss. The abundance of natural resources available in nature is the prime source of overall wellness in all parts of the world, as are the traditional Indian practices of Yoga, Ayurveda and the practices suggested by traditional holy scriptures. This chapter attempts to see the wave of spiritual gurus boosting the wellness sector associated with travelling. Gurus like Sri Sri Ravi Shankar, Sadguru Vasudev Jaggi and HH Dalai Lama are some of the international gurus who have influenced spiritual and wellness tourism to a large extent. The discourse analysis revealed that people long for spirituality for peace and wellness. It also reveals being spiritual has no fixed dimension; it varies from person to person.

Liability of foreignness (LOF) is a well-known concept in international business domain. At the core of LOF is the insight that firms face social and economic costs when they operate in foreign markets. Extant literature acknowledges that the ability of firms to overcome LOF in host locations varies; however, it does not discuss the possibility that the LOF itself could vary for different firms at the same location. We extend this literature by examining how a firm's interaction with the host and the home country environments affect the LOF that it faces in foreign markets.

We argue that there are two sources of LOF – environmentally derived LOF and firm-based LOF. The environmentally derived LOF has its source in home and host country environments. Firm-based LOF, on the contrary, derives from firm-specific characteristics including ownership structure, firm-specific resources, learning and network-based linkages such as affiliation to a business group. Furthermore, we argue that both the environmentally derived and the firm-based LOF are different for emerging market (EM) firms as compared to developed market (DM) firms. We develop testable propositions about how environment-specific and firm-specific factors affect LOF and suggest directions for future research.

This chapter aims to assess the scope of India's gastronomic tourism post-COVID-19 and discuss the utilisation of vlogs to promote India as a gastronomic destination. First, the evolution of gastronomic tourism is reviewed. Next, opportunities and challenges associated with India's gastronomic offerings, both from international and domestic tourism perspectives, are discussed. Then, the role of vlogging to position and promote India as a gastronomic destination is established. The chapter suggests recommendations for the Ministry of Tourism, Government of India on utilising vlogging to promote gastronomic tourism.

Introduction: New ideas and concepts of big data have emerged in recent years in response to the astounding growth of data in many industries. Furthermore, the phenomenal increase in the use of the internet and social media has added enormous amounts of data to conventional data processing systems. Still, it has also created challenges for traditional data processing.

Purpose: A significant characteristic of the insurance sector is critically dependent on information. This sector generates a great deal of structured and unstructured data, which traditional data processing techniques cannot handle. As compared to conventional insurance data processing and decision-making requirements, this lesson shows an analysis of data technology’s value additions.

Research methodology: The author assesses the primary use of cases for data in the insurance industry via a case study analysis. From the perspective of the insurance sector, this chapter examines the concepts, technologies, and tools of big data. A few analytical reviews by the insurance company are also provided, which justified several gains gained either through inefficient processing of massive, diverse data sets or by supporting better decisions.

Findings: This chapter demonstrates the importance of adopting new business models that allow insurers to move beyond understand and protect and become more predictive and preventative by using the tools and technologies of big data technology.

Using a life story approach, I explore Kathy Charmaz's research journey marked by her profound motivation to utilize the humanizing potential of human sciences research as she developed the constructivist version of grounded theory (CGT). The experiential and social divides that she observed since her own childhood between the ill person and medical professionals or other stakeholders remained etched in her consciousness. They generated a silently but firmly held moral responsibility toward creating humanizing spaces for the voices of ill persons as well as for people marginalized by social injustice or inequity. The ontological shift Charmaz introduced in CGT enabled recovering the heretofore silenced voices of participants from the clutches of a claimed “objective truth” in the research findings of positivist research.

In her subsequent works, Charmaz also advocated and illustrated the need to use critical reflexivity to more meaningfully understand the hierarchies within and between social worlds as well as how researcher-participant relationships often shape participants' experiences. In doing so, she also demystified the colonialist nature of qualitative research methodologies, including grounded theory (GT) approaches. In such practices, implicitly individualist ideology is used to legitimate neoliberal globalization to help sustain the geopolitical economic power of a few countries over the rest of the world.