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One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

To reduce the electricity consumption in our homes, a first step is to make the user aware of it. Reading a meter once in a month is not enough, instead, it requires real-time meter reading. Smart electricity meter (SEM) is capable of providing a quick and exact meter reading in real-time at regular time intervals. SEM generates a considerable amount of household electricity consumption data in an incremental manner. However, such data has embedded load patterns and hidden information to extract and learn consumer behavior. The extracted load patterns from data clustering should be updated because consumer behaviors may be changed over time. The purpose of this study is to update the new clustering results based on the old data rather than to re-cluster all of the data from scratch.

This paper proposes an incremental clustering with nearness factor (ICNF) algorithm to update load patterns without overall daily load curve clustering.

Extensive experiments are implemented on real-world SEM data of Irish Social Science Data Archive (Ireland) data set. The results are evaluated by both accuracy measures and clustering validity indices, which indicate that proposed method is useful for using the enormous amount of smart meter data to understand customers’ electricity consumption behaviors.

ICNF can provide an efficient response for electricity consumption patterns analysis to end consumers via SEMs.

The Government of India’s National Policy of Education 2020 stipulates that in the following five years all stand-alone teacher education colleges will be required to convert to multidisciplinary higher education institutions. This calls for a complete overhaul of the country’s vast, diverse, and age-old system of teacher preparation. Evidence-based policy implementation is thus the need of the hour. This chapter attempts to aid the process by presenting insights from a comparative education research on pre-service teacher education (PSTE) of secondary school teachers at stand-alone teacher education institutions (TEIs) in the Indian city of Mumbai and university-based teacher education in the Chinese city of Hong Kong. Documentary sources, field visits, and 57 interviews form the basis of the findings. The dimensions for comparison include academic freedom and autonomy; pathways to PSTE; linkages of teacher education providers; and role and working conditions of teacher educators. The chapter deduces the core differences in teacher education at stand-alone TEIs vis-à-vis that at a university and draws out implications of shutting down the former. It concludes by laying down a road map for the effective universitization of teacher education in India that will result in genuinely improving teacher quality.

The purpose of this paper is to investigate the situation of women working as information technology (IT) professionals in different regions of India within multi-national enterprises (MNEs). The research is part of a cross-national study that compared gendered relations in the UK and Indian IT sectors. The complex roles that region, class and caste and gendered values and norms have in shaping women’s work and lives in India are discussed.

The cross-national research assumed common themes as part of a programme of in-depth interviewing and observations during site visits. The “safari method” was adopted with research conducted by a sole fieldworker with intimate knowledge of the languages and cultures of both India and the UK. The research considered intersectionality and difference and aimed to understand material structures and cultural meanings evident from the research process.

There are significant differences in organisational culture even within MNEs sharing common legislative and policy environments. The IT sector in India offers opportunities for middle- and upper-class women professionals and the cultural – including identity – barriers to working in technical areas often experienced in western countries are not replicated in India. Nevertheless, this has not meant any significant improvements in gendered relations at work and in the Indian society. There are also particular influences of regional, class and caste differences manifested in IT workplaces, contributing to inequality.

This paper adds to the understanding of the situation of women in IT sector including within MNEs giving insights into the workings of global capitalist enterprises. The research offers appreciation of the complexity of social differences and whether opening up opportunities for women professionals in India can contribute to the inclusive growth or will maintain the current patterns of inequality.