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Article
Publication date: 28 April 2022

Avinash D. Pathardikar, Praveen Kumar Mishra and Sangeeta Sahu

This paper aims to examine the effect of procedural justice on affective commitment, through the mediating of organizational trust and job satisfaction.

Abstract

Purpose

This paper aims to examine the effect of procedural justice on affective commitment, through the mediating of organizational trust and job satisfaction.

Design/methodology/approach

Data were collected from 305 executives working in eight large cement organizations through a standardized questionnaire. Confirmatory factor analysis, structural equation modelling and mediation analysis were performed to examine the relationship.

Findings

Procedural justice significantly influenced job satisfaction and organizational trust directly. Organizational trust and job satisfaction are partially mediated by organizational justice and affective commitment. Interestingly, procedural justice does not influence affective commitment directly.

Originality/value

Procedural justice and affective commitment are crucial aspects of an organization. Limited research has been conducted linking procedural justice, organizational trust, job satisfaction and affective commitment. This study was conducted in the South Asian country of India, where power-distance prevails

Details

Journal of Asia Business Studies, vol. 17 no. 2
Type: Research Article
ISSN: 1558-7894

Keywords

Article
Publication date: 10 April 2024

Avinash D. Pathardikar, Praveen Kumar Mishra and Sangeeta Sahu

The purpose of this study is to determine the impact of distributive justice on normative commitment, both directly and indirectly through job satisfaction. Instead of integrating…

Abstract

Purpose

The purpose of this study is to determine the impact of distributive justice on normative commitment, both directly and indirectly through job satisfaction. Instead of integrating all the components of justice and commitment, distributive justice and normative commitment have been given prominence.

Design/methodology/approach

The data were collected through standardised scales from the 305 executives working in the top eight cement organisations located in the central part of the Indian subcontinent. Structural equation modelling (SEM) with bootstrapping was employed to evaluate the hypotheses.

Findings

The results proved that distributive justice helps increase normative commitment and affects job satisfaction positively. Additionally, job satisfaction acts as a mediator between distributive justice and normative commitment.

Research limitations/implications

Due to the adaptation of self-reported questionnaires, the chances of method bias cannot be completely denied. However, the Harman’s single-factor analysis was conducted to handle it. Moreover, the data were obtained from a single source, i.e. the cement industry.

Practical implications

HR practitioners may use the outcomes of this study to promote distributive justice while allocating their sources. It also helps in implementing specific strategies to improve job satisfaction and commitment.

Originality/value

The study proposed a more complex linear model that included job satisfaction as a mediator. Moreover, the study is conducted in emerging economies, which addresses the research gaps in the existing body of literature.

Details

Journal of Management Development, vol. 43 no. 3
Type: Research Article
ISSN: 0262-1711

Keywords

Article
Publication date: 29 June 2023

Praveen Kumar

This article investigated whether the executives' compensation and corporate governance attributes are aligned with stakeholders' demands for higher corporate voluntary…

Abstract

Purpose

This article investigated whether the executives' compensation and corporate governance attributes are aligned with stakeholders' demands for higher corporate voluntary disclosures. Moreover, the study also examined the moderating role of the auditor's reputation in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

Design/methodology/approach

The study used a sample of S&P BSE index constituents' 90 Indian firms for 2017–2019. The voluntary disclosure scores were fetched from the India Disclosure Index Report published by FTI Consulting. This analysis was carried out in two parts by applying four panel-data regression models in the agency and signalling theories framework. First, the study examined the association between executive compensation, board strength, composition, gender diversity, and voluntary disclosures. Second, the article investigated the moderating role of the “Big 4” in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

Findings

The willingness of executives to share private information with stakeholders depends on the compensation they receive from their employer. The higher compensation paid to executives leads to a higher “tone from the top,” which is better aligned with stakeholder interests. Further, the research also found that bigger board sizes, a higher proportion of independent and woman directors (indicators of good governance), and an auditor's reputation are associated with increased voluntary disclosure.

Research limitations/implications

The findings showed that the executives' compensation and corporate governance attributes are aligned with stakeholders' demand for higher voluntary information from firms. Moreover, the study also found that the “Big 4” play a moderating role in this direction. The choice of a reputed auditor indicates the firms' long-term positive future perspectives, which strengthens investor confidence in the financial market.

Practical implications

The study suggests that fair executive compensation can address the agency problem.

Originality/value

This research furnishes managers and different stakeholders with significant implications of executives' compensation, corporate governance, and auditor's reputation in the best interests of a firm through reducing potential risks of information asymmetry.

Details

Journal of Applied Accounting Research, vol. 25 no. 2
Type: Research Article
ISSN: 0967-5426

Keywords

Article
Publication date: 8 November 2022

Praveen Kumar Sharma and Rajeev Kumra

The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following…

Abstract

Purpose

The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following the second round of COVID-19 in India.

Design/methodology/approach

A cross-sectional study was carried out using an online questionnaire. In total, 505 individuals participated through convenience sampling. To measure anxiety, depression and stress, the Depression Anxiety Stress Scale (DASS-21), a 21-statement self-reported questionnaire, was used.

Findings

Multiple regression analyses were performed to evaluate the sociodemographic characteristics associated with depression, stress and anxiety. Results indicated salary/allowances reduction and alcohol consumption were associated with depression. Multiple regression also indicated that salary/allowances reduction, smoking status and alcohol consumption were associated with stress. In addition, this research also showed that chronic disease, salary/allowances reduction, smoking status and alcohol consumption were associated with anxiety.

Research limitations/implications

During the second COVID-19 wave in India, various individuals were affected. Anxiety, depression and stress were common among Indians after the second wave of COVID-19. Along with other actions to restrict the development of COVID-19, the Indian Government and mental health specialists must pay close attention to the inhabitants' mental health. More large-scale studies on various occupations should be conducted, and new mental health factors should be included.

Originality/value

This study provides empirical insights related the sociodemographic factors and stress, anxiety and depression.

Details

Mental Health and Social Inclusion, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-8308

Keywords

Article
Publication date: 2 October 2017

Praveen Goyal and Divesh Kumar

The purpose of this paper is to identify and rank the various barriers of the CSR implementation in Indian manufacturing companies. Further, this paper also studies interaction of…

1803

Abstract

Purpose

The purpose of this paper is to identify and rank the various barriers of the CSR implementation in Indian manufacturing companies. Further, this paper also studies interaction of different barriers.

Design/methodology/approach

The study was carried out using an interpretive structural modeling (ISM) approach to analyze the interaction among different barriers for corporate social responsibility (CSR) implementation in manufacturing companies in the Indian context.

Findings

In the present study, ten CSR implementation barriers were identified through an extensive literature review followed by the expert’s opinion. The present study outlines that lack of money and consumer’s passive attitude towards CSR are the major barriers in CSR implementation in Indian manufacturing companies. On the other hand, top management commitment, lack of knowledge about CSR and lack of skills for CSR implementation are barriers which occur due to the investment required in term of time and consumer’s passive attitude.

Originality/value

The present study is helpful to both academicians and practitioners by providing a model of CSR barriers. This study is important in the context of India which is a developing economy and this development is exerting pressure on the corporations to adopt CSR in their practices. This ISM-based model of barriers of CSR implementation in the manufacturing sector will help practitioners and managers to have enhanced knowledge about these barriers and to concentrate on important barriers to implement CSR activities in their organizations in an efficient manner.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Book part
Publication date: 13 September 2017

José Manuel Mendes

The purpose of this chapter is to analyze disaster exceptionalism in India, focusing on the case of Kosi river floods in the State of Bihar and their impact on Dalit communities…

Abstract

The purpose of this chapter is to analyze disaster exceptionalism in India, focusing on the case of Kosi river floods in the State of Bihar and their impact on Dalit communities. Data were gathered through document analysis and a qualitative approach based on interviews with national and local leaders and activists of NGOs and Dalit organizations. The main finding is that there are no second-generation social movements related to disasters in India, mainly in what concerns Dalit discrimination. The Disaster Management Act of 2005 reinforced the centralized and top-down nature of the Indian state concerning disasters. On the other hand, national Dalit organizations like National Confederation of Dalit and Adivasi Organisations (NACDAOR) and National Dalit Watch do not possess the expertise to alter the approach to disasters from a contingent and exceptional one to a more structured and long-term perspective.

The chapter shows how extreme events and permanent hazardous situations tend to increase the legitimacy of state intervention, often involving the suspension of social and economic norms, creating a state of exception, which indicates the inevitable presence of the state. The abyssal line that separates those individuals and groups that are integrated from those defined as disposable and invisible crosses through both the Global South and the little colonies of the North, reinforcing the logic of states that want to be bigger and stronger than their own citizens.

Details

Recovering from Catastrophic Disaster in Asia
Type: Book
ISBN: 978-1-78635-296-5

Keywords

Article
Publication date: 27 June 2023

Praveen Srivastava, Shelly Srivastava and Niraj Mishra

The paper aims to illuminate the relationship between attitude toward the hotel’s website (e-servicescape) and purchase intention. It proposes modeling the dimension of the…

Abstract

Purpose

The paper aims to illuminate the relationship between attitude toward the hotel’s website (e-servicescape) and purchase intention. It proposes modeling the dimension of the hotel’s website, its impact on building attitude toward the website and the relations with purchase intention. Further, the role of social risk arising from COVID-19 on the relationship between attitude and purchase intention is explored.

Design/methodology/approach

The authors conducted empirical research using an online questionnaire based on a comprehensive evaluation of prior literature. The online questionnaire has 15 questions, and data is gathered from guests who have visited the hotel’s website in the preceding year. SmartPLS was used to analyze the data. Attitude toward the website has been identified as a higher-order factor, and a two-stage embedding technique was adopted for analysis.

Findings

The paper gives empirical evidence about how different dimensions of a hotel’s website influence one’s attitude. The finding indicates that the ambience factor, i.e. how effectively a website provides a pleasant and interesting atmosphere for online visitors, is the most critical component for attitude development. Additionally, the finding reveals the negative moderating effect of social risk on the relationship between attitude and purchase intention.

Research limitations/implications

Since demographic factors play a significant role in the social-risk component, the study findings may lack generalizability. As a result, scholars are urged to do more study on the offered ideas.

Practical implications

The paper includes implications for the development of a better e-servicescape, which should incorporate the dimensions discussed in the study to entice the customers for hotel booking and can remove the fear of social risk.

Originality/value

This paper addresses an established need by examining how social risk affects the relationship between attitude toward a website and purchase intention.

Details

Consumer Behavior in Tourism and Hospitality, vol. 18 no. 3
Type: Research Article
ISSN: 2752-6666

Keywords

Book part
Publication date: 29 May 2023

Praveen Kumar, Sanjay Taneja, Ercan Özen and Satinderpal Singh

Purpose: The aim of this chapter is to provide a quantitative literature review on machine learning (ML) and artificial intelligence (AI) in the Insurance Sector.Need for the Study

Abstract

Purpose: The aim of this chapter is to provide a quantitative literature review on machine learning (ML) and artificial intelligence (AI) in the Insurance Sector.

Need for the Study: The current study maps the literature regarding AI and ML in the insurance sector through bibliometric tools to identify the significant gaps in the available literature, considerable insights that emerged, and a scientific evaluation of AI and ML in the Insurance sector.

Methodology: The VOS viewer method was used to conduct the depth and quantitative analysis of the AI and ML in Insurance. The study of 450 articles has been retrieved through the Scopus database from 2012 to 2021. The implication of performance analysis methods has helped to explore influential journals, authors, countries, Keywords, and affiliations, elevating the literature in AI and the Insurance Sector.

Finding: This study conducts an exploratory analysis and identifies the prominent authors, sources, countries, affiliations, and articles using modern bibliometric analysis (BA) tools. The geographic scattering of the study indicates that the USA and the UK have highly influential publications and contribute to AI and Insurance. East and Southern Asia countries are far behind.

Practical Implication: Furthermore, this chapter can be used as a reference paper to explore the new field of study in the insurance sector using AI. The search criteria were set in the study to limit the sample published papers/articles included in Scopus data based on the AI and ML in Insurance.

Details

Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy
Type: Book
ISBN: 978-1-80382-555-7

Keywords

Article
Publication date: 18 April 2019

Divesh Kumar, Praveen Goyal and Vinod Kumar

The purpose of this paper is to study corporate social responsibility (CSR) enablers, with special reference to Indian firms. Further, the CSR enablers have been identified and…

Abstract

Purpose

The purpose of this paper is to study corporate social responsibility (CSR) enablers, with special reference to Indian firms. Further, the CSR enablers have been identified and their ranking obtained, and interactions and interrelationships among the different enablers have also been studied.

Design/methodology/approach

The interpretive structural modeling (ISM) approach was used to evaluate the interactions among the various enablers of CSR implementation, from the perspective of Indian companies.

Findings

In the course of this paper, based on a detailed literature review, nine enablers were identified and after seeking expert opinion, eight CSR implementation enablers were shortlisted. The present study has identified that top management commitment, organizational culture and formal strategic planning are the main enablers of CSR implementation in Indian companies, whereas corporate reputation, better financial performance and customer satisfaction are the dependent enablers that have high dependence power but weak driving power.

Originality/value

The ISM-based model of CSR enablers presented in this paper will prove to be of interest to academicians and practitioners alike. While academicians will gain a better understanding of enablers of CSR implementation from the perspective of one of the fastest growing economies of the world, practitioners will gain a better understanding of CSR enablers, and their enhanced knowledge will help them to effectively implement CSR in their organizations.

Details

Journal of Modelling in Management, vol. 14 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

Content available
Book part
Publication date: 30 September 2020

Abstract

Details

Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

1 – 10 of 43