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Despite a variety of theoretical and empirical studies on work engagement (WE), few have explored the role of individual-level factors. Underpinned by person-environment fit (PEF) and self-determination theory (SDT), the present study aims to pinpoint the fundamental process driving the relationship between WE and perceived fit (PF).

Using the survey method, data were collected from 263 college teachers. Confirmatory factor analysis (CFA) and structural equation modeling were applied to test the serial mediation paradigm.

The results of the study accentuate crafting as an important mediator between PF and WE. The current study does not support the mediating role of authentic living between PF and WE. Both authentic living and job crafting (JC) mediate the PF and WE relationship. Employees’ sense of congruence promotes living authentically and JC, resulting in WE.

The WE of employees is harnessed if they get an opportunity to practice authenticity. Authentic employees feel compelled to bring change to the job so that it is in alignment with their core values, thus resulting in WE. The organizations that create a culture in which the administrators allow the practice of individual-factors, namely authentic living, and JC successfully fosters WE.

The variables presented in the serial mediation model explain the underlying mechanisms between PF and WE. This is among the very few studies that explore the individual-level factors that boost individual levels of WE among teachers. Therefore, it adds to the literature on WE.

There is a link between stress experienced during adversity and negative outcomes, which demands the identification of mechanisms to minimize the harm. However, to date, these mechanisms remain unclear. This study will help us understand how to reduce the negative impact of COVID-19 stress (CS) on COVID-19 burnout (CB). The purpose of this study is to investigate the mediating role of meaning in life (MIL) in the relationship between CS and CB in the general population.

During the second wave of COVID-19 in India, 514 adults aged 18–75 years (M = 33.11 ± SD =10.42) completed the survey online. Testing of the model was conducted using the structural equation modeling technique.

Results indicated that CS had a positive impact on CB. CS explained 49% of the variance in CB. A mediation model was used to examine the relationship between CS and CB through MIL, which was also supported.

These findings explain the efficacy of MIL in reducing harm. It is imperative to promote MIL to prevent negative outcomes. Instead of treating symptoms of disorders, psychologists, mental health professionals and health-care workers should focus on prevention.

The model explains the underlying mechanisms between CS and CB. This is among the very few studies attempting to explore these variables among the general population. Therefore, it adds to the literature on ways to reduce the negative impact of stressors.

The purpose of this study was to investigate the impact of perceived workplace incivility (WPI) on psychological well-being (PWB) in teachers of higher education and to test for the moderating role of gender and organizational tenure on the relationship between perceived WPI and PWB.

Data were collected from teachers (N = 341) employed in government and private colleges through convenience sampling. A structural equation modeling technique was used for model testing.

Results showed a moderate level of perceived WPI by teachers from their colleagues or supervisors. Perceived WPI had a negative impact on PWB. Sixteen percent of the variance in PWB was explained by perceived WPI. Further, the multigroup analysis showed gender to moderate the relationship between perceived WPI and PWB, and this relationship was stronger for males than females. Organizational tenure was not a significant moderator.

These findings expand the literature on perceived WPI and suggest that stringent policies are essential in academia to minimize the incidence of WPI. Additionally, interventions are to be introduced to mitigate the negative outcomes of WPI both at the individual and organizational levels.

The study explores the role of demographic variables (gender and organizational tenure) in the relationship between perceived WPI and PWB in teachers. The empirical evidence suggests higher perceived WPI in male teachers leading to lower PWB. The organizational tenure of an employee shows no influence on the assessment of the stressor.

Purpose: Entrepreneurship is one of the best ways towards self-sufficiency and poverty alleviation for women in a country without guaranteed employment. The research contributes and provides reasons for supporting women’s entrepreneurship, as although it is well-documented that women’s entrepreneurship increases economic growth, other approaches need attention, especially those related to sustainability.

Need for the study: Women have superior emotional intelligence, resilience, and capacity to maintain a healthy work–life balance; women make better business and entrepreneurial leaders. Many businesses see encouraging women to join the workforce as a key to achieving sustainability goals. This study will provide valuable insights into the role of female entrepreneurs in driving sustainable business practices in the USA and India – rural India and urban India.

Methodology: The chapter adopts a descriptive research design methodology in conducting a thorough literature review on the evolution of women entrepreneurship in India. The case-based approach has been adopted to depict women entrepreneurs and their growth stories. The analysis is based on qualitative analysis of secondary data and primary data. This research proposes exciting revelations regarding the trend of women entrepreneurship in India and, from a global perspective, challenges women entrepreneurs face in organised and unorganised sectors in India and policies in different countries that promote women entrepreneurship towards sustainability.

Findings: Women business owners in India help the economy thrive, reduce poverty, and have a greater chance of shaping India’s destiny. This chapter looks at how entrepreneurial actions affect cultural morals and values. Women’s business growth rates vary from country to country, and this variation is influenced by the fact that countries can be broadly categorised as either developed or developing.

Strategic decision-making is a complex process and encompasses an exhaustive knowledge base, collective guidance, contemporary foresight, analytical capabilities, paradigmatic congruence, and risk assessment and optimization within mission space. Employing advanced sciences convergence and analytical methodologies, the aim of this report is to provide a set of plausible solution trajectories to complex scenarios.

Three methodologies are reported here which provide policymakers with plausible solution pathways and alternatives. The methodologies, namely: TechFARM, ADAMS, and NESTTS, involve convergence of scientific disciplines, cutting edge technologies, social dynamics, astute extraction, and principles of foresight to support the process of informed decision-making, as comprehensive tools to develop a plausible solution space and future trends.

The methodologies provided in this report provide scientific basis to trends analysis and foresight. Few selected examples are reported here indicating its practical implications. The methodologies are currently applied to and likely to be used for many applications in trends analysis for government, industry, and even academics. These applications are particularly relevant to policy-making due to their capacity for identification of emerging trends.

Being highly adaptable, these methodologies were initially generated for defense applications, but have since been applied to clean water, cyber-security, the medical sector, and environmental health and safety (EHS) and evaluating eco-toxicity of nanomaterials, to strategically address a variety of global challenges. Additionally, these methodologies support investment recommendations and implementation of policies that promise significant benefit to the public at large.

The study aims to facilitate the medical tourists visiting emerging countries for various kinds of ailments by ranking the possible destinations to avail medical treatments.

A Fuzzy Analytical Hierarchical Process (FAHP) with a mixed-method approach is applied to analyze data collected from patients and substantiate it with medical tour operators in India to gain managerial insights on the choice-making patterns of the patients.

India is a preferred emerging market location due to the low cost and high medical staff quality. India offers value for money, whereas Singapore and Thailand are preferred destinations for quality and technology.

The study will facilitate the emerging markets' governments, hospitals and medical tourists to understand the importance of various determinants responsible for availing medical treatment outside their country.

The study recommends that cost and quality care are the patients' prime focus; government policies must provide clear guidelines on what the hospitals and country environment can offer and accordingly align the marketing strategies.

This study is the first attempt to rank various factors affecting medical tourism using the FAHP approach.