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Article
Publication date: 28 February 2022

Suhasini Gupta, Pradeep Kumar Sahoo and Kirtti Ranjan Paltasingh

This paper investigates the deterrence effect of development on crime against women in India. Specifically, the authors examine the deterrence effect of the composite development…

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Abstract

Purpose

This paper investigates the deterrence effect of development on crime against women in India. Specifically, the authors examine the deterrence effect of the composite development index, i.e. Human Development Index (HDI), along with other variables acting as development indicators such as women’s employment, the relative strength of women in the police force, urbanization, etc., on crimes against women.

Design/methodology/approach

This study adopts a fixed effect within-group (WG) panel regression model and pooled regression model on the data of 28 states over 20 years from 2000 to 2019. For checking the robustness of the results, the authors use the estimation from the system generalized method of moments.

Findings

The results confirm the deterrence effect of development as measured by the HDI and female labor force participation on various crimes against women. In addition, female feticide representing the socio-cultural attitude toward women turned out to be another significant determinant of almost all types of crime against women. Further, the study also finds the deterrence effect of variables such as police expenditure, the relative strength of women in the police force, urbanization and arrest rate on various crimes against women.

Originality/value

This research paper is unique because it tries to examine the deterrence hypothesis of development by taking a composite index of development, i.e. HDI and other variables at the state level in the Indian union.

Details

Journal of Business and Socio-economic Development, vol. 2 no. 1
Type: Research Article
ISSN: 2635-1374

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Article
Publication date: 6 February 2023

Mariana Namen Jatobá, João J. Ferreira, Paula Odete Fernandes and João Paulo Teixeira

This study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving…

4298

Abstract

Purpose

This study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving development in the field of human resources (HR) at the strategic and managerial level.

Design/methodology/approach

A systematic literature review (SLR) was conducted using the Scopus database, which gathered 61 articles between 2002 and 2022. The SLR process has the potential to, in addition to generating knowledge and theories, support and guide policy development and practice in many disciplines.

Findings

The results of this study allowed the author to identify three main conclusions: (a) there are four thematic clusters – (i) Strategic HR and AI, (ii) Recruitment and AI, (iii) Training and AI and (iv) Future of work; (b) there is a growing academic interest in studying the implementation of AI to develop the HR sector and (c) the application of AI stands out in the strategic HR and AI cluster as a means of achieving profit maximisation and the overall development of the organisation.

Originality/value

This study is the first SLR to present a strategic and managerial view on AI applications associated with specific HRM dimensions. The study is also the first SLR to identify key trends in the literature, drivers and obstacles to the development of AI in HRM and then place them within the landscape of positive and negative approaches in a framework. Also, as a contribution, the study has practical implications for HR managers and practitioners in adopting AI as a decision support in the area's processes.

Details

Journal of Organizational Change Management, vol. 36 no. 7
Type: Research Article
ISSN: 0953-4814

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Article
Publication date: 13 December 2022

Chandrasekaran Nagarajan, Indira A. and Ramasubramaniam M.

This study aims to analyse the structure of the Indian vaccine supply chain (SC) during the Covid-19 crisis and explore the underlying challenges at each stage in the network. It…

184

Abstract

Purpose

This study aims to analyse the structure of the Indian vaccine supply chain (SC) during the Covid-19 crisis and explore the underlying challenges at each stage in the network. It also brings out the difference in performance of various constituent states.

Design/methodology/approach

This study relied on both primary and secondary data for the analyses. For the primary data, the study gathered experts’ opinions to validate the authors’ inferences. For the secondary data, it relies on government data provided in websites.

Findings

Based on the quartile analysis and cluster analysis of the secondary data, the authors find that the constituent states responded differently during the first and second waves. This was due to the differences in SC characteristics attributed to varied demographics and administrative efficiency.

Research limitations/implications

This paper’s analyses is primarily limited to secondary information and inferences are based on them. The study has important implications for implementing the large-scale vaccination drives by government and constituent states for better coordination and last-mile delivery.

Originality/value

The contribution is unique in studying the performance of constituent states using statistical techniques, with secondary data from authentic sources. It is also unique in combining this observation with validation from experts.

Details

Journal of Global Operations and Strategic Sourcing, vol. 17 no. 2
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 4 December 2017

Sonal Agarwal, Ginni Chawla and Rupali Singh

The purpose of this study is to develop innovations in human resource (InHR) framework in the context of Indian banking industry and further develop a scale for its measurement.

770

Abstract

Purpose

The purpose of this study is to develop innovations in human resource (InHR) framework in the context of Indian banking industry and further develop a scale for its measurement.

Design/methodology/approach

A non-response bias test is conducted on a sample of 300 employees, and the assumptions of constant variance, outliers and normality are tested. Further, the InHR scale is validated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) tests.

Findings

EFA confirms the existence of five empirically distinct constructs at banking industry in India, and CFA affirms the dependability of the arrived constructs. It is concluded that the InHR framework constructs possess high reliability and validity.

Research limitations/implications

The authors duly recognize the limitations of survey-based research, the exploratory research design and the use of single method.

Practical implications

The proposed InHR scale and its constructs are an important input to guide managers and human resources (HR) policymakers to devise strategies for the Indian banking industry. Banks can also benchmark existing HR policies by applying the proposed InHR framework constructs.

Social implications

The InHR constructs provide academicians and practitioners with a better approach of understanding the InHR practices.

Originality/value

Despite the significance of Indian banking industry for the socio-economic capital, academic research focusing on this industry’s innovative practices has been limited. This study reveals originality and value by proposing an InHR framework in the context of Indian banking industry which integrates all the major innovative practices. Further a scale has been developed for its measurement.

Details

International Journal of Innovation Science, vol. 9 no. 4
Type: Research Article
ISSN: 1757-2223

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