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Introduction: The effectiveness of management faculty members depends on several factors, including self-efficacy. Albert Bandura coined the term ‘self-efficacy’, defined as ‘the capacity to do things as per one’s ability’ – the self-belief that one ‘can-do’ something.

Purpose: The study aims to discuss the effects of high and low degrees of self-efficacy. Faculty members with high-order competencies achieve higher positions, whereas those with low self-efficacy will generally have less self-belief in achieving success, translating into not progressing either at all or as quickly. There exists a need to study the levels of self-efficacy among faculty members to determine issues that create skill gaps and lead to both high and low efficacy. For better general performance, all faculty members should have high degrees of self-efficacy as it leads to high enthusiasm, increased commitment, and a capacity to dilute and address a range of challenges.

Methodology: This chapter falls under the category of a review paper. As different papers/studies have been reviewed and compared in this study, it does not need to conform to any particular methodology.

Findings: Various findings and practical implications shall be discussed in this chapter regarding self-efficacy among management faculty members. To improve youth’s future abilities by 2030, teachers ought to have higher levels of self-efficacy. Self-efficacy is imperative in accomplishing objectives, achieving results, and accomplishing educational difficulties in instructing understudies (Tumkaya, 2020).

Purpose: In addition to the liberalisation policy, big data has revolutionised the level of awareness among customers about the quality and prices of insurance products. The rationale behind this study is to underline the issues in managing product portfolios in a disruptive environment, where a sudden and unexpected situation like COVID-19 pandemic is going to challenge the traditional models and insurance covers of organisations as well as individuals.

Methodology: The study is based on secondary data. The scope of the study will only be confined to the top two general insurance companies in India based on year of registration and market share to compare their product portfolios during pre- and post-liberalisation periods ranging from 1985–1986 to 2000–2001 and 2001–2002 to 2018–2019, respectively.

Findings: There is a lack of a balanced product portfolio for fulfilling the varying needs of customers. The insurance companies needed to set up different portfolios and should provide separate covers for natural catastrophes such as floods, earthquakes, landslides, tsunami, and the occurrence of new pandemics like COVID-19.

Significance: The study highlights that the outbreak of COVID-19 and similar pandemics or global emergencies need special preparation from the insurance sector.

Introduction: Artificial intelligence (AI), the engineering of brilliant machinery, performs intelligent human intelligence tasks, such as learning and problem-solving. Insurance is a financial protection policy either for individuals or entities to reimburse losses from the insured company. The role of AI in insurance always helps enhance customer services and understand their behaviour.

Purpose: This chapter aims to determine the role of AI in the insurance industry in India. The insurance industry is expanding very fast, and to further increase its horizons, the part of the technology of AI is essential. However, this sector has initiated using AI technology and is expanding its scope to benefit the customers.

Methodology: The authors selected research papers of the last five years to review and determine how the technology changed during the period and how an increase in AI benefits the industry and facilitates delivering the best services, and understanding the customer’s needs and behaviour.

Findings: It has been found that the industry is moving very fast and adopting the AI technology methods to enhance customer services, betterment for growing India, and serve insurance services to the nation efficiently.

Purpose: The main goal of this discussion is to explain how competitiveness could be an important source of knowledge and economic power in a society, especially in the period of higher demands on knowledge, innovation and organisational base growth. Our focus of the discussion will be tourism as an important service sector economic activity in countries all over the world.

Methodology: The chapter will be conceptually based on its goal to develop the theories of competitiveness and to discuss how competitiveness influences knowledge, organisational processes and forms with a focus on tourism services.

Findings: Competitiveness in tourism depends on many factors. As an intangible source of knowledge, organisational culture processes and organisational forms generally influences tourism activity. For this reason, not only is comparative advantage important in the competitiveness concept, but also competitive advantage and the way of deploying resources play an important role.

Significance: Resources are not only based on labour, capital and land (neoclassical theory approach), but resource-advantage theory underlines the importance of financial, physical, legal, human, organisational, informational and relational capital. In this process, new processes and organisational forms must be created, as well as innovative approaches to processes and the importance of knowledge capital.

Practical Implications: New ideas about this process could be helpful for researchers and practitioners to recognise the importance of competitiveness for their work and research.