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This study is conducted with an aim to develop and validate self-talk scale for service sector employees designed to measure dimensions that are relevant for their conduct in job.

A three-phase study, which is conducted firstly, with a sample of 250 and then with another sample of 671 employees of service sector. Both factor exploration and confirmation are applied for testing the psychometric properties.

A well-developed and validated instrument comprising of 17 statements with four dimensions of self-talk, which are self-compassionate, rational, task oriented and self-regulation in social settings relevant to regulate ones job behaviour.

The instrument so developed becomes the first of its kind to be validated on organisational employees. The instrument provides an important means to estimate the cognitive process of self-talk, especially for employees working in fields that requires them to deal with people. Moreover, enabling individuals to understand the subtle nuances that take place in the mind while regulating ones behaviour. Thus, proving to be a promising instrument, as this can serve as a base for identifying the need for industrial training programmes or interventions.

The case discussion begins with an understanding of Davis’s three-circle model. It then leads toward the key resources and challenges, by system and development stage as given by Gersick et al. (1997). After understanding the family business system, the case delves into making the students understand the circumplex model of the marital and family system. This matrix talks about the flexibility in the business structure along with cohesion in the family unit. The case then gets into the discussion about succession and the new generation joining the family business and the conflicts that may arise due to the same. It might be imperative to bring out the different forms of conflict that may arise in the family and business system. Researchers have identified three forms of conflict – task, process and relationship (Mckee, Madden, Kellermans and Eddleston, 2014). As passing the baton would take place next for this business in the case, the current generation needs to look at the future growth strategy for the business. Here, the discussion refers to the exploitation and exploration matrix given by Bergfeld and Weber (2011).

This is a primary data case. The data has been collected from SK Enterprises. Interviews were conducted to arrive at the issues and challenges discussed in the case.

This case talks about the dilemma of a first-generation entrepreneur. Jatinder Agarwal was the owner of SK Enterprises, a light-engineering firm manufacturing bright bars, engine parts and ceiling fan shafts. He had set up the business in 1984. His brother, Ramesh was helping him in the business. The business had prospered and grown from a single product manufacturing workshop in 1984 to two factories manufacturing multiple light engineering products. In 2015, the business was doing well and both Jatinder and Ramesh were excited to involve their respective sons, Pranav and Sanidh in the business after completion of their education. The case is about the challenges faced by Jatinder and Ramesh with the entry of a new generation. Jatinder and Ramesh were working in the family business with an implied structure where the business was a sole proprietorship in the name of Jatinder but the decisions were taken by both the brothers collectively. With the entry of the new generation, Jatinder had to decide how to re-organize the business and avoid conflicts in the family. He also had to take a decision regarding the future course of strategy, which would help the business grow further.

This case is about the dilemmas faced by a first-generation entrepreneur. The case can be taught in an “entrepreneurship” course, in a post-graduate MBA program. This case can also be taught in a family business program as part of the course on “Understanding Family Business – Managing Paradoxes” or “Building Lasting Family Business – Synergy in Vision, Values and Strategy.” This case can also be taught as part of a “business strategy” or “human resource management” in MBA or executive MBA program in the first year.

This study aims to identify specific factors that facilitate engagement and stay intention among Generation Z employees in the Indian banking, financial services and insurance (BFSI) context. Furthermore, using the frequency distribution of the identified factors, this study has ranked them in order of their association with stay intention.

Data were collected from 22 Gen Z employees working in the Indian private BFSI sector using unstructured interviews. Inductive content analysis was applied to identify the factors improving engagement and stay intention. Moreover, quantitative content analysis was applied to calculate the frequency distribution of the identified factors.

The study identified six prominent factors, namely, transformational leadership, employee investment practices, egalitarian practices, work-life balance, job crafting and sustainability, which significantly enhance employee engagement and stay intention among Gen Z employees. Moreover, based on the results of quantitative content analysis, it was found that transformational leadership exhibited the highest frequency in association with employee engagement and stay intention. Following this were employee involvement, egalitarian practices, work-life balance, job crafting and sustainability.

In the coming days, Generation Z will contribute to almost one-third of India’s workforce, of which the BFSI sector will be the major employer. However, the issue with this generation is their retention. Hence, the study identifies factors ensuring engagement and stay intention.

Owing to the paucity of research on stay intention as a variable of interest, this study tries to capture the perceptions of Gen Z towards factors inducing their engagement and stay intention. This study assesses intention to stay (ITS) as compared to intention to leave (ITL) as it is a proactive indicator of turnover. Lastly, this study uses a qualitative approach to identify factors influencing stay intention and engagement based on interactions with employees, which, to the best of the authors’ knowledge, no prior study has attempted.

The present paper investigated a skim milk powder production plant with genuine human mistake for analyzing its performance in terms of its reliability, availability and maintainability (RAM) indices along with mean time between failure (MTBF) and expected number of failure (ENOF).

In the proposed work, the generalized fuzzy lambda–tau methodology has been used to carry out the analysis of the repairable structure using the improved arithmetic operations for generalized fuzzy numbers by considering the degree of confidence levels.

RAM indices along with MTBF and ENOF are obtained to increase the quality of skim milk powder manufacturing structures of a dairy plant with genuine human-mistake working conditions.

In the present paper, a mathematical model for a complex industrial system based on fuzzy has been developed. Finally, the results are more realistic and comprehensive for the decision-maker for farther application.

This study aims to recognize the current dynamics, prolific contributors and salient trends and propose future research directions in the area of alternative momentum investing.

The study uses a blend of electronic database and forward reference searching to ensure the incorporation of all the significant studies. With the help of the Scopus database, the present study retrieves 122 research papers published from 1999 to 2020.

The results reveal that alternative momentum investing is an emerging area in the field of momentum investing. However, this area has witnessed an exponential growth in last ten years. The study also finds that North American, West European and East Asian countries dominate in total research publications. Through network citation analysis, the study identifies five major clusters: industrial momentum, earnings momentum, 52-week high momentum, time-series momentum and risk-managed momentum.

The present review will serve as a guide for financial researchers who intend to work on alternative momentum approaches. The study proposes several unexplored research themes in alternative momentum investing on which future studies can focus.

The study embellishes the existing literature on momentum investing by contributing the first bibliometric review on alternative momentum approaches.

Given the dearth of thorough summaries in the literature, this systematic review and bibliometric analysis attempt to take a meticulous approach meant to present knowledge on the constantly developing subject of stock market volatility during crises. In outline, this study aims to map the extant literature available on stock market volatility during crisis periods.

The present study reviews 1,283 journal articles from the Scopus database published between 1994 and 2022, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 flow diagram. Bibliometric analysis through software like R studio and VOSviewer has been performed, that is, annual publication trend analysis, journal analysis, citation analysis, author influence analysis, analysis of affiliations, analysis of countries and regions, keyword analysis, thematic mapping, co-occurrence analysis, bibliographic coupling, co-citation analysis, Bradford’s law and Lotka’s law, to map the existing literature and identify the gaps.

The literature on the effects of crises on volatility in financial markets has grown in recent years. It was discovered that volatility intensified during crises. This increased volatility can be linked to COVID-19 and the global financial crisis of 2008, as both had massive effects on the world economy. Moreover, we identify specific patterns and factors contributing to increased volatility, providing valuable insights for further research and decision-making.

The present study is confined to the areas of economics, econometrics and finance, business, management and accounting and social sciences. Future studies could be conducted considering a broader perspective.

Most of the available literature has focused on the impact of some particular crises on the volatility of financial markets. The present study is not limited to some specific crises, and the suggested research directions will serve as a guide for future research.

Companies are looking for certain employability attributes and personality traits while recruiting and selecting suitable candidates for their organizations and there is a mismatch in what the higher educational institutes are grooming the graduates. There is therefore a need for proactive management of career development of students. The paper aims to discuss these issues.

This research involved an exploratory study on a database of 445 students enrolled and passed out from the five batches of two years business management course from 2012 to 2016 in a business school in India, to identify the parameters which led to generating good placement package for them. The impact of independent variables of live industry projects, communication skills, academic performance, classroom attendance and co-curricular activities on the placement package was studied using stepwise regression analysis.

The study revealed that industry projects, co-curricular activities, communication skills and academic performance were the key enablers which helped the students become industry ready and employable.

This research involved the study of effect of only four independent variables- academic performance, communication skills, participation in live industry projects and co-curricular activities on the placement package received by the students. There is a scope of extending this study by considering the effect of other variables such as educational background (graduation stream, performance in that stream, scores attained in competitive exams, etc.), family background (family income, occupation of parents and their qualification, family size, etc.), geographical background (rural, urban or semi-urban) and work experience on the final placement package received by the student.

Employability depends on a multitude of factors which can be broadly put under three categories of knowledge, skills and attitude (Khare, 2014). Universities need to work right from the first year toward developing a wider range of employability skills rather than focusing only on developing generic competencies in the students. The results of regression analysis indicate that the impact of different predictors for a good placement package vary in strength and a student needs to focus on balancing all of them in order to get a good placement. Educational institutes can replicate this study to identify the overall employability of their students.

With the increase in demand from industry for work ready graduates, there is a huge pressure on educational institutes to prepare their students for the corporate world. Such studies would help the institutes in focusing on various parameters which would ultimately assist students pursuing courses in post graduate level like business management or other master courses in getting good placements.

This study aims to ascertain the impact of perceived knowledge sharing systems on destructive and constructive deviance through employee engagement. Also, this study explores the moderating role of perceived organizational support (POS).

Data were collected from 403 entry-level IT employees. Structural equation modeling and PROCESS macro by Preacher and Hayes were used to examine the proposed hypotheses.

Results specified a significant impact of perceived knowledge sharing systems on employee engagement, which in turn, exhibited a negative relationship with a destructive and positive relationship with constructive deviance, respectively. Results revealed that employee engagement significantly mediated the relationship between perceived knowledge sharing systems and destructive and constructive deviance. Concerning moderating role of POS, it was found that at a high level of POS, the effect of knowledge sharing systems on employee engagement was significant in a positive direction and reached its highest level. Finally, for moderated mediation, results only supported the indirect effects of knowledge sharing systems on destructive deviance through employee engagement at different levels of POS.

This study infers that IT organizations must implement measures to enhance employee engagement and POS by investing in embedded knowledge sharing systems. This will not only cater to the customized needs of employees but will also reduce destructive deviance and stimulate constructive deviance.

Given a few studies integrating workplace deviance, this is the first study that proposes an integrated process model to overcome destructive and stimulate constructive deviance among IT employees by assessing the role of knowledge sharing systems as an antecedent, employee engagement as a mediator and POS as a moderating variable.

While the phenomenon of R&D offshoring has become increasingly popular, scholars have mostly focused on R&D offshore outsourcing from the point of view of the client firms, who are often from an advanced country. By examining vendor firms, in this paper the authors shift the focus to the second party in the dyadic relationship of R&D offshore outsourcing. Specifically, the authors compare vendor firms with nonvendor firms from the same emerging economy and industry to look at whether vendor firms from emerging economies can improve their innovation performance by learning from their clients. The authors also look at the role of depth and breadth of existing technological capabilities of the vendor firm in its ability to improve its innovation performance.

This study is based on firm-level data from the Indian biopharmaceutical industry between 2005 and 2016. The authors use the Heckman two-stage model to control for self-selection by firms. The authors compare the innovation performance of vendor firms with nonvendor biopharmaceutical firms (group vs nongroup analysis) as well as innovation performance across vendor firms (within group comparison).

The authors find that, compared to nonvendor firms, R&D offshore outsourcing vendor firms from emerging economies have higher innovation performance. The authors argue that this higher innovation performance among vendor firms is due to learning from their clients. Among vendor firms, the authors find that the innovation gains are contingent upon the two factors of depth and breadth of the vendor firms' technological capabilities.

This paper makes three contributions: First, the authors augment the nascent stream of research on innovation from emerging economy firms. The authors introduce a new mechanism for emerging economy firms to learn and upgrade their capabilities. Second, the authors contribute to the literature on global value chains, by showing that vendor firms are able to learn from their clients and upgrade their capabilities. Third, by examining the innovation by vendor firms, the authors contribute to the R&D offshore outsourcing, which has largely focused on the client.

The study findings have important implications for both clients and vendors. For client firms, the authors provide evidence that knowledge spillovers do happen, and R&D offshore outsourcing can turn vendors into potential competitors. This research helps firms from emerging economies by showing that becoming vendors for R&D offshore outsourcing is a viable option to learn from foreign firms and improve innovation performance. Going outside geographic boundaries may be a large hurdle for these resource-strapped, emerging economy firms. Providing offshore outsourcing services for narrow slices of R&D activities may be a starting point for these firms to upgrade their capabilities.

This paper is among the first to quantitatively study the innovation performance of vendor firms from emerging economies. The authors also contribute to the nascent literature on innovation in emerging economy firms by showing that providing R&D offshore outsourcing services to client firms from advanced countries can improve firms' innovation performance.

This book chapter examines how the evolution of the tourist and hospitality industries has been impacted by digital technologies. Digitalisation makes it possible to implement resilient infrastructure in all applications to achieve sustainability. The hospitality and tourism sector is known to be information-rich due to its diverse commercial interactions with shareholders and constant evolution of managerial processes, modification of tourist and hotel services, advancements in technology and an intensely competitive atmosphere. It has been recognised that growth of tourism and hospitality industry becomes impossible without the applications of modern digital technologies that enable integration and communication, boost service quality and transmit a sizeable amount of information. In the context of the tourism sector, the establishment of resilient infrastructure that relies on digital technologies is vital in order to obtain optimal consumer feedback pertaining to the provision of high-quality service. The utilisation of digital technology has demonstrated its capacity to enhance hospitality services through the facilitation of real-time data-driven decision-making. The objective of this study is to emphasise the importance and practical uses of the internet of things (IoT), artificial intelligence (AI), cloud computing and big data in the context of consumer quality and satisfaction. This study also addresses the significance of various technologies and their applications in attaining consumer quality and pleasure in the digital realm. Additionally, it might help company owners, managers and marketers in any field to achieve and improve high business performance by executing the right plans to use AI that fulfil the demands and expectations of both customers and staff.