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Women's empowerment is a crucial gender issue and more so in developing countries. Women's empowerment has far-reaching consequences at individual, household, societal and global levels. In this study, the authors focus on the effect of their childhood and pre-marriage conditions on the present level of empowerment in the rural setting in the southern part of India controlling for relevant variables.

This study is based on the primary data collected from 700 women in southern India's villages. The authors used chi-square to understand the bivariate association between the level of women's empowerment and their socio-economic characteristics including their pre-marriage conditions. Further, multiple regression was used to find out the association between her pre-marriage characteristics and empowerment.

The study finds a positive association between mothers' education on their daughters' empowerment. Freedom of movement during childhood also had a positive relationship with the current level of empowerment. The study finds a positive effect of self-esteem and self-efficacy on women's empowerment. The authors also found that property in their names and knowledge about their legal rights were associated with higher empowerment. Other important indicators related to higher women's empowerment are household assets and their employment.

To the best of the authors' knowledge, this study is a unique attempt to study the effect of conditions before marriage on women's empowerment, especially in the Indian context. The study looks into the relationship between childhood conditions of women in a rural set up including their parents' education and jobs, discrimination faced and upbringing conditions and their current level of empowerment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2022-0329

COVID-19 placed millions of employees under work-from-home/telework. Employers intend extending telework for the long-term, anticipating business benefits. But the benefits are impacted by employees' well-being/ill-being, which is affected by the satisfaction of psychological needs. In turn, need satisfaction is influenced by employees' personal/job attributes. As work-from-home's blended environment disrupts routines, the satisfaction of the psychological need for structure or routines was examined in this study, along with the effect of personal/job attributes.

Cross-section primary data were collected from 500 teleworking information technology employees from India and analysed using partial least squares structural equation modelling. Vigour and exhaustion represented well-being and ill-being. Telework self-efficacy, standardised job, technology assistance and supervisor social support were the determinants or personal/job attributes. Need for structure satisfaction was the mediator.

Telework self-efficacy, technology assistance and supervisor social support were positively associated with structure satisfaction. In turn, structure satisfaction was related positively with vigour and negatively with exhaustion, and thus mediated between personal/job attributes and vigour/exhaustion. Standardised job did not affect vigour, exhaustion or structure satisfaction.

Need for structure is mostly studied as a trait, with implications of greater/lesser preference for structure examined. However, this work acknowledges structure as a basic ubiquitous need. Everyone needs some structure. Hence, need for structure is researched from the novel perspective of its satisfaction. This paper also uniquely combines job demands–resources model which identifies personal/job attributes, with concepts of epistemic which posit the need for structure.

This study aims to examine the relationship between work-family conflict (WFC) and personal self-efficacy among career persistent women in India. Further, this relationship was explained with the help of the mediating role of perceived managerial support.

Survey data were collected from 510 career persistent women working in the Information Technology (IT) sector in India. The data were analyzed using structural equation modeling and mediation was tested using Process- Macro.

Findings depicted a positive relationship between WFC and professional self-efficacy demand and self-efficacy challenges. Perceived managerial support was also found to be positively related professional self-efficacy. Furthermore, perceived managerial support was found to have a significant mediating effect in WFC and professional self-efficacy relationships.

Findings of the study may enhance the understanding of WFC in emerging economies, as most of the research has been done in the western context. Findings of the study are crucial, as it highlights the relationship between WFC and professional self-efficacy in the presence of perceived managerial support. Moreover, the paper uniquely discusses the role of WFC in professional self-efficacy among career persistent women in IT sector.

The relationship between women and extreme weather events is a significant issue given differential impact, adaptation strategies and coping mechanisms for genders. However, the women’s vulnerability and its determinants remain an understudied area. The paper aims to fill this important gap in literature by focusing on women’s vulnerability during the recent floods in the rural areas of Indian state of Kerala using primary data. With a focus on identifying the socioeconomic factors associated with women’s vulnerability, this paper also makes policy suggestions to reduce their vulnerability in the face of floods in Kerala where it is becoming a recurrent phenomenon.

This study is based on the primary data collected using structured questionnaire answered exclusively by women respondents. Chi-square tests and ordered logistic regression model have been used to analyze the relation between the women’s vulnerability during floods and their socioeconomic determinants.

The analysis found that the better availability of credit to women, access to information tools and higher income for women can reduce their vulnerability when a sudden disaster strikes.

This study is unique as it focuses on rarely studied topic women’s vulnerability in the face of weather-related disaster in the rural setting, understanding their level of vulnerability and then identifying the associates of the same, this paper makes an exceptional contribution to the literature on women and environment in general.

Even after COVID-19 pandemic, several organizations intend extending work-from-home (WFH), to the extent of making it permanent for many. However, WFH's impact on productivity remains uncertain. Therefore, this paper aims to study personal and job factors determining the likelihood of amount of work done at home being same/more vis-à-vis office.

Employees' basic psychological needs and job crafting tendencies; job-related aspects of task independence, technology resources and supervisory support; and several demographic factors are examined as determinants. Firth logistic regression analysis of data from 301 Indian white-collar employees is performed.

Demographically, longer exposure to WFH, greater work experience and being a support function worker increased the likelihood of same/greater amount of work done at home. Being a woman or married reduced the likelihood, while being a manufacturing/services worker was non-significant. Among psychological needs, greater needs for autonomy and relatedness decreased and increased the likelihood of same/greater amount of work done at home, respectively. Regarding personal and job resources, job crafting to increase structural job resources and supervisor support increased the likelihood of same/greater amount of work done at home versus office.

This paper adds to the limited India-centric literature on WFH; uniquely examining influences of individual personal attributes on amount of work done by combining job demands-resources (JD-R) model and basic psychological needs theory.

This study aims to identify demographic characteristics, personal attributes and attitudes and social support factors that adversely or favourably affect the likelihood of career persistence amongst women workers of the Indian IT sector.

The research, grounded in the social cognitive career theory, analyses primary data collected from 850 women working in IT via a survey. Based on an original definition of career persistence, the sample was segregated into 427 persistent and 423 non-persistent women. Logistic regression was performed to test for the effect of various determinants on the likelihood of women being career persistent versus non-persistent.

Being married, having children, as well as high levels of belief in gender disadvantage and work–family conflict lowered the likelihood of career persistence amongst women. While being a manager, possessing high career identity, high occupational culture fit, positive psychological capital and family support boost the likelihood.

The study examines women's actual continuance in an IT career vis-à-vis exit from the workforce/IT field, rather than women's stated intent to persist/quit as previously investigated. It uses logistic regression to identify both hurdles and aids on the path of women's career persistence. The findings can help recognize women more likely to struggle, thus be a first step in targeted organizational interventions to plug a leaky talent pipeline.

Gender diversity is known to trigger creative and relationship conflicts alike, the former a boon for innovation and the latter a bane. This study aims to explore the possibility of a gender mix that is “just right” for balancing the intensities of varied forms of conflict to boost innovation in firms in India. Specifically, this paper investigated the presence of an optimal level of women as a percentage of the firm’s full-time permanent employees (Percent-Women) that maximized the firm’s likelihood of product innovation (Product–Innovation–Likelihood).

Logistic regression analyses of firm-level data of Indian establishments of varied sizes and industries from World Bank Enterprise Surveys 2014 was performed. Instrumental variable addressed the potential endogeneity of Percent-Women.

The analysis demonstrated an inverted U-shaped relationship between Product–Innovation–Likelihood and Percent-Women. Product–Innovation–Likelihood peaked when Percent-Women lay between 35% and 58%, i.e. when the firm was gender-balanced or close to it.

The finding of an optimal level of female inclusion presents to firms a defined target of gender mix to be achieved, failing to which they may be limiting their innovation potential. It compels firms to view gender diversity as a business imperative with definite implications for their long-term performance.

For India, the demonstrated relationship between workplace gender diversity and innovation brings additional reason and urgency to public initiatives, such as female literacy, for boosting female economic engagement. Innovation can power the next stage of the Indian growth story by engaging the heretofore insufficiently tapped female worker.

By demonstrating an optimal degree of female inclusion at which innovation potential peaks, the study reconciled opposing theories of diversity-driven conflicts and went beyond the commonly observed simple linear relationship between female inclusion and innovation. Further, the paper focused on India, a major developing economy with a vast female populace and growing innovation ambitions but scarcely researched for gender diversity’s role in innovation.

The study finds the determinants of women empowerment measured in terms of domestic decision-making in a developing economy perspective by considering rural women in India. Women empowerment simply means giving opportunities to women to enable them to be socially and financially independent. Empowerment of women through investment in their education and health has a positive effect on economic growth. Almost 70% of Indian population lives in rural areas. If women in these areas are educated and empowered, they can contribute to the economic growth either directly or indirectly by improving health and education of the future generations. This study indicates that an employed woman, having her own income source, higher educational level, knowledge of legal rights, higher educational level of the mother of the woman, having property in her own name, more freedom of movement during her school days, having high self-esteem and belonging to a relatively affluent background, increases domestic making power of the women, and thus empowerment. Some possible policies are suggested for developing economies.

This study tests the influence of Big Five Personality Traits (BFPTs) and demographic factors on Facebook behavior of Posting, Feature Usage, and Making Friends in India, home to the highest number of Facebook users in the world. Gen-Z is the demographic most involved in social media, thus this age group’s behavior can be most accurately gauged from Facebook habits and so it forms the basis of this study. Facebook behavior identified in this study was the outcome of an elicitation study conducted among university students. The sample survey consisted of 290 Facebook users aged between 17 and 24 years. The chapter uses factor analysis and structural equation modeling (SEM) for data analysis. Results revealed that extroverts and those open to experiences would post more. Meanwhile, the conscientious were less inclined to use features such as emoticons while those more agreeable embraced them. Women and those more neurotic would not befriend strangers. Also, posting and feature usage increased with user age. Study results highlight the potential of analyzing Facebook behavior to gauge personalities, which could benefit recruiters and marketers. Academically, this is the first study related to India where a scale for Facebook behavior is developed (namely Posting, Feature Usage, and Making Friends) and then validated for future research work.

The United Nations (UN) adopted Sustainable Development Goals (SDGs); agenda 2030 focuses on Climate Action (goal 13), targeting climate adaptability, as well as resilience, awareness and improving policy mechanisms on climate change. In order to enhance climate adaptability, climate-smart agricultural practices (CSAP) is a necessary step. CSAP is a sustainable agriculture approach with a strong focus on climate dimensions. The three pillars of climate-smart agriculture (CSA) are ‘Adaptation’: adapting to climate change; ‘Resilience’: building resilience against it and ‘Remove’: reducing carbon emissions. The new world economy uses Industry 4.0 technologies for sustainable advancement, including blockchain technology, big data analytics, artificial intelligence (AI), augmented and virtual reality, industrial Internet of Things (IoT) and services. Hence, technology plays a significant role in climate sustainable agriculture practices. This chapter shall consider three technologies consisting of IoT, AI and blockchain technology which contribute to CSAP in pre-harvesting (monitoring climate as well as fertility status, soil testing, etc.), harvesting (tilling, fertilisation, seed operations, etc.) and post-harvesting (predicting weather factors, seed varieties, etc.) periods of agriculture. All these three technologies work like the human nervous system; IoT helps in converting various information regarding demography, climate change, local agricultural needs, etc. into world data; AI works like a brain in combination with IoT, helps predict the use of climate-smart technology and blockchain, the memory part of the nervous system which deals with supply-side and ensures traceability as well as transparency for consumers as well as farmers. Hence, this chapter shall contribute to the importance of these three technologies in adopting CSAP in three stages of agriculture.