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This study aims to evaluate the impact of gender diversity on corporate boards on firms’ financial performance in the context of the Indian information and technology (IT) sector. The Companies Act 2013 brought forth mandatory provisions for the appointment of women directors for a certain class of companies. This study explores the case of board gender diversity in the Indian IT sector’s unique setting.

The study uses a fixed effect panel data regression model to achieve its objectives. Two widely used diversity measures, Blau Index and Shannon Index, have been used to enhance the robustness of the results.

The results of the study indicate an insignificant relationship between gender diversity and firms’ financial performance. Even the diversity indices portray insignificant results confirming the outcomes of the study. The study indicates that IT sector firms have not been able to leverage the benefits of board gender diversity.

The results of the study have important policy implications for the government, regulatory bodies and corporates. The outcomes point out that the benefits that could have accrued based on the diversity aspect could not be harnessed, as the women’s representation on corporate boards is extremely low. Policymakers and government shall focus on devising stringent laws so that better representation of women directors can be used for the interests of the firms.

The study is an attempt to fill the gap in the extant literature which has a scarce number of studies conducted in the unique setting of the IT sector (both in developed and developing economies). To the best of the authors’ knowledge, this is the first study on the influence of board gender diversity in the IT sector of a developing economy, backed by socio-cultural reasons.

The purpose of this paper is to investigate the relationship between consumer-based brand equity (CBBE) – conceptualized as consisting of brand awareness, perceived quality, brand associations, perceived value and brand loyalty – and market share for different brand types (global versus local) in different country groups (developed versus emerging).

This paper combines consumer–survey-based data, experts' coding and retail panel data of fast-moving consumer goods (FMCG) brands in 29 countries.

In developed countries, the relationship between each CBBE component (except for brand associations) with market share is stronger for local than global brands. In emerging countries, the relationship between each CBBE component with market share is stronger for global than local brands.

This paper contributes to better understanding the relationships between CBBE and market share by showing how CBBE components relate to market share for different brand types (global and local) in different country groups (developed and emerging). Limitations arise from constraints related to existing datasets (e.g. limited number of variables and type of product categories considered).

This paper offers insights to managers working in multinational FMCG companies, as it suggests which CBBE components relate more strongly to the global or local brands' market shares in different countries.

This paper analyzes the relationship between CBBE and market share by focusing on different brand types (global versus local) in different country groups (developed versus emerging). It does so by using a company dataset and showing correspondence with conceptualizations and measures of brand equity from the academic literature. It also considers a large set of 29 countries, extending research beyond national boundaries.

The purpose of this study is to investigate hybrid brand positioning strategies for emerging market brands based on two positioning elements: brand country-of-origin (COO) and brand globalness.

Researchers conducted two studies. In Study 1, a survey of 128 brand managers of emerging market brands were used to examine whether asymmetric positioning strategies improve brand preference more than symmetric strategies, and if so, which type of asymmetric strategies improves brand preference more. In Study 2, a consumer experiment in the USA was conducted to identify the positioning strategy for emerging market brands that improve brand preference the most.

For emerging market brands, at any given value of COO or global elements, asymmetric strategies outperform symmetric strategies in terms of brand preference. On average, the best hybrid positioning strategy is the one that highlights brand COO and de-emphasizes brand globalness.

A large body of branding literature examines COO and globalness separately without considering their co-presence in the same brand positioning strategy. Few studies that examine the joint influence of brand COO and globalness focus on established brands from developed markets and do not examine whether highlighting both brand COO and global elements equally is an effective positioning strategy for emerging market brands. This study introduces a framework to systematically examine the various combinations of COO and global elements in a brand’s positioning strategies for emerging market brands. By conducting two studies, the authors empirically test the influence of various combinations of COO and global elements on brand preference for emerging market brands from both firm and consumer perspectives.

The purpose of this paper is to identify promising themes of the papers in the special issues of Equality, Diversity and Inclusion dedicated to advancing scholarship on sex-based harassment.

A conceptual overview of the research pertaining to these themes and an analysis of the special issues papers' contributions to these themes.

Four themes that represent important but relatively neglected lines of inquiry into sex-based harassment are identified. These are (1) the psychology of harassment, (2) organizational culture and networks, (3) the invisible majority and (4) the importance of collective action.

The paper offers an expert perspective on the state of research related to sex-based harassment and four themes that are important to moving it forward.

The case on Moodcafe captures the journey of the start-up and its entrepreneurs from the beginning till the fund-raising stage. The case brings forth critical decisions that each entrepreneur or the team of co-founders have to address during their start-up journey. This short case gives opportunity to delve into two aspects mainly a) As a founder, which investor should one choose for seeking funds and what should be the terms and conditions of investment? and b) How can one review and assess the business model of a start-up?

The study aims to examine the impact of social assistance schemes introduced by the Indian government on poverty alleviation in urban slums.

To accomplish the study's objectives, primary data were collected from 585 beneficiaries of government schemes operating in India's northwestern state using a multistage sampling technique (Punjab). The exploratory factor analysis (EFA) technique reduced the total dataset to its minimum factors. Then, using second-order confirmatory factor analysis, the data's validity and reliability were determined. The data were analyzed using statistical techniques such as one-way ANOVA, t-test and structural equation modeling (SEM).

The study's findings indicate that social assistance provided by the Government of India has a direct and substantial influence on poverty alleviation in urban slums. The study demonstrates how access to basic credit financial services through social assistance programmes has improved the lives of urban poor households living in slums and assisted them in escaping poverty.

The investigation was undertaken among a few limitations. First, the in-depth investigation of the study is restricted to only the northwestern state of India solely because of limited resources and time availability. Second, the study focuses primarily on the perspectives of beneficiaries of the social assistance schemes in India. Still, it might be expanded in the future to include additional stakeholders such as bank executives, business colleagues and municipal town panchayats.

Due to policymakers' increased emphasis on poor households living in urban slums, this topic is critical for studying many issues.

The research explores gaps in social welfare schemes to direct policymakers and government authorities to take appropriate steps to aid the urban poor people in sliding out of poverty.

By examining the influence of the Indian government's social welfare schemes on poverty reduction in slums, this study contributes to the literature on public assistance schemes and poverty alleviation. This article can assist policymakers in developing nations in increasing financial capability among disadvantaged urban families on a national and international level.

The purpose of this paper is to perform a meta-bibliometric analysis of the banking service quality and to provide various research streams. Another goal is to provide future research questions to explore these areas in more detail.

The authors used three major academic databases (Scopus, ProQuest and EBSCO) from 1980–2021 and found 226 papers, where they performed the meta-bibliometric analysis by performing co-citation analysis, co-authorship analysis, cartographic analysis and content analysis.

The SERVQUAL model is the most used conceptual framework and model to study banking service quality. Structural equation modeling (SEM), followed by partial least squares SEM, is a majorly used method. There are three research streams in the literature: retail banking service quality, internet banking service quality and mobile banking service quality. Retail banking is the most studied stream, whereas mobile banking is the least studied stream. The study on banking service quality was initially conducted in developed markets, and later in emerging markets. All three streams have scope for further exploration, and hence, 44 future research questions have also been proposed.

This study has implications for bank managers, academicians and future researchers.

This study is unique in that it examines the meta-bibliometric dimensions of banking service quality and provides directions for future research for academicians and researchers.

The purpose of this study was to assess the preservative potential of Tinospora cordifolia as a novel natural preservative in muscle foods.

Chevon sausages were used as a model system and were prepared by incorporating different levels of T. cordifolia, namely, T1 (0.25 per cent), T2 (0.50 per cent) and T3 (0.75 per cent), and assessed for lipid oxidative stability and storage quality under refrigerated (4 ± 10°C) conditions.

Lipid oxidative stability showed a significant improvement as the products incorporated with T. cordifolia exhibited significantly (p = 0.001) lower thiobarbituric acid reacting substances (mg malonaldehyde/kg) in comparison to control. A significant improvement was also observed in the microbial stability as T. cordifolia-incorporated products showed significantly lower values for total plate count (log cfu/g, p = 0.001), psychrophilic count (log cfu/g, p = 0.003), yeast and mould count (log cfu/g, p = 0.02) and free fatty acid (percentage of oleic acid, p = 0.01). Significantly higher scores were observed for various sensory parameters of the treated products during storage.

Tinospora cordifolia successfully improved the lipid oxidative and microbial stability of the model meat product and may be commercially exploited as a novel preservative in muscle foods.

As the retail banking institutions are becoming more customer centric, their focus on service quality is increasing. Established service quality frameworks such as SERVQUAL and SERVPERF have been applied in the banking sector. While these models are widely accepted, they are expensive because of the need for replication across bank branches. The purpose of this paper is to propose a novel, user friendly and cost effective approach by amalgamating the traditional concept of service quality in banks (marketing base) and sentiment analysis literature (information systems base).

In this study, the main objective is to analyze user reviews to better understand the correlation between RATER dimension sentiment scores as independent variables and user overall rating (customer satisfaction) grouping in “good” and “bad” as dependent variable through development of authors’ own logistic regression model using lexicon-based sentiment analysis. The model has been developed for three largest private banks in India pertaining to three banking product categories of loans, savings and current accounts and credit cards.

The results show that the responsiveness and tangibles dimensions significantly impact the user evaluation rating. Even though the three largest private banks in India are concentrating on the tangibles dimension, not all of them are sufficiently focused on the responsiveness dimension. Additionally, customers looking for loan products are more susceptible to negative perceptions on service quality.

This study has highlighted two types of scores whereby user provided overall evaluation scores help provide validation to the sentiment scores. The developed model can be used to assess performance of a bank in comparison to its peers and to generate in depth insights on point of parity (POP) and point of difference (POD) fronts.