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Article
Publication date: 29 October 2021

Hari Govind Mishra, Shailesh Pandita, Aasif Ali Bhat, Ram Kumar Mishra and Sonali Sharma

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one…

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Abstract

Purpose

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

Design/methodology/approach

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

Findings

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO2) emission of the tourism sector, economic impacts of tourism and CO2 emissions and CO2 emissions and carbon tax.

Originality/value

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

Article
Publication date: 27 June 2019

Sonali Bhattacharya and Dipasha Sharma

The purpose of this study is to determine the impact of environment, social and governance (ESG) disclosure on credit ratings of companies in India.

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Abstract

Purpose

The purpose of this study is to determine the impact of environment, social and governance (ESG) disclosure on credit ratings of companies in India.

Design/methodology/approach

Firms under study are listed on the Bombay Stock Exchange (BSE) 500 and represent almost 93 per cent of the total market capitalization on BSE. This study considers a sample of 122 firms from a population of 500 to examine the relationship between ESG scores and Credit Rating. The scope of this study is confined to those firms listed on the S&P BSE 500 which have made ESG disclosures and were rated by various credit rating agencies like Crisil, ICRA and CARE. Data were sourced from Bloomberg. Ratings were given in ascending order. In the first model, credit rating was used as predicted variable; ESG score as predictor variable and market capitalization, net debt to equity, and total debt to asset as control considering the ordered nature of dependent variable in the study, ordered logistic regression was applied. It was repeated taking individual scores on environment rating, social rating and governance rating as predictors. The authors further segregated the 122 selected firms into large, medium and low capital firms and assessed separate logistic regression models taking credit rating as the predicted variable and overall ESG score as the predictor.

Findings

It was found that overall ESG performance and performance of individual components (environment, social and financial variables such as market capitalization, and debt to equity ratio) had significant positive indicators of creditworthiness as measured through credit rating. Governance score had a positive and insignificant relation with credit rating. Market capitalization was observed to have significant direct relationship with credit worthiness. On the other hand, number of independent directors in companies showed significant inverse relationship with creditworthiness. ESG significantly impacted credit rating in the desired direction only for small- and middle-level firms; for large firms which already had higher credit rating, ESG showed no effect. It was also found that credit rating itself determined significantly the extent of overall ESG reporting and disclosure of its components.

Originality/value

This is unique study that covers the aspects of ESG reports and its impact on credit rating.

Details

International Journal of Ethics and Systems, vol. 35 no. 3
Type: Research Article
ISSN: 2514-9369

Keywords

Article
Publication date: 15 August 2018

Dipasha Sharma, Sonali Bhattacharya and Shagun Thukral

This study attempts to critically assess one of the financial inclusion policy “Pradhan Mantri Jan Dhan Yojna” introduced by the government of India in 2014.

Abstract

Purpose

This study attempts to critically assess one of the financial inclusion policy “Pradhan Mantri Jan Dhan Yojna” introduced by the government of India in 2014.

Design/methodology/approach

Number of bank accounts opened (rural, urban and overall) under the policy, total balance in such account and total number of debit cards issued till October, 2017 were taken as the criterion variables. The macroeconomic indicators, infrastructure, literacy, regional dummy and percentage labour participation were taken as predictors. Finally, a State index for financial inclusion under the policy was developed through Normalized Inverse Euclidean Distance using per capita number of accounts, total balance and number of debit cards issued as the parameters.

Findings

Andaman and Nicobar, Puducherry and Chandigarh came out to be the top three State indexes for Financial Inclusion under the policy. Status of infrastructure (such as number of roads) was found to be the most significant determining factor. Other factors were labour force participation, poverty and regional disparity.

Originality/value

This paper is unique in the sense that financial inclusion policy has been assessed both through its reachability and assessment of its predictors.

Details

International Journal of Ethics and Systems, vol. 34 no. 3
Type: Research Article
ISSN: 0828-8666

Keywords

Article
Publication date: 10 April 2020

Poonam Sharma, Sonali Singh and Richa Misra

The purpose of this study is to understand consumers in the emerging wine market of India to ensure the best services. To this end, factors were identified to describe Indian wine…

Abstract

Purpose

The purpose of this study is to understand consumers in the emerging wine market of India to ensure the best services. To this end, factors were identified to describe Indian wine consumer behavior and further segments for consumers were created based on the factors identified.

Design/methodology/approach

The research design is descriptive in nature and based on primary data. Data was collected by a structured questionnaire from 232 respondents in five major cities of India (Mumbai, Delhi NCR, Bangalore, Pune and Hyderabad). The scale was mainly adopted from wine-related lifestyle approaches.

Findings

The principal component factor analysis resulted in six factors, namely, drinking ritual, consumption reason (social), consumption reason (mood, enjoyment and relaxation), consumption practice, consumption planning and quality. Cluster analysis resulted in a three-cluster solution. These clusters were named as cautious social drinker, loner regular drinker and highly engaged drinker based on the attributes possessed.

Originality/value

The segmentation of urban Indian wine consumers will be helpful for marketers to identity and describe the differences in attributes and behaviors, to create customized promotions to match the needs.

Article
Publication date: 24 October 2021

Swati Agrawal and Sonali Singh

The purpose of this study is to examine the relationship between subjective career success (SCS) and proactive career behavior as well as family support, with a focus on women…

Abstract

Purpose

The purpose of this study is to examine the relationship between subjective career success (SCS) and proactive career behavior as well as family support, with a focus on women professionals in India. The study also investigates the moderating role of perceived organizational support and marital status on these relationships.

Design/methodology/approach

The sample consists of 363 women professionals working in the information technology-enabled services industry in India. The study is cross-sectional in design.

Findings

Findings from this study posit the positive moderating role of perceived organizational support on the relationship between proactive career behavior and SCS and on the relationship between family support and SCS. As a moderator, marital status has a positive impact on the relationship between proactive career behavior and SCS but has a negative impact on the relationship between family support and SCS.

Practical implications

The results from this study will help organizations understand the predictors of career success of women employees. Another practical implication is that this study establishes knowledge of perceived organizational support, a controllable organizational factor as a moderator in positively influencing the success of women’s careers. Leaders and managers can, therefore, use organizational factors to facilitate the success of women employees.

Originality/value

This study is perhaps the first to examine the relationship between antecedents of career success for women professionals in the context of India.

Details

Gender in Management: An International Journal , vol. 37 no. 3
Type: Research Article
ISSN: 1754-2413

Keywords

Article
Publication date: 20 June 2022

Bhavya Srivastava, Shveta Singh and Sonali Jain

Amidst the backdrop of a wide array of structural developments that have revolutionized the competitive landscape of Indian commercial banking, this paper aims to empirically…

Abstract

Purpose

Amidst the backdrop of a wide array of structural developments that have revolutionized the competitive landscape of Indian commercial banking, this paper aims to empirically examine the role of two external monitoring mechanisms – competition and concentration on financial stability and further highlights the significance of bank-level heterogeneity in the nexus.

Design/methodology/approach

The study uses the Lerner index, defined through a translog specification, as a measure of market power. A system generalized method of moments technique accounts for the dynamic associations among the competition-concentration-stability nexus. The study further examines the moderating effect of ownership, size and capitalization on the nexus. The study also uses the Boone indicator and comments on the competition-bank stability relationship after controlling for bank governance.

Findings

The findings indicate that banks are less stable in a more competitive and higher concentrated environment. Exploring bank-level heterogeneity, first, the authors report that as competition increases, state-owned banks have greater incentives to undertake risky activities than private and foreign banks, which point to implicit sovereign guarantees that characterize the former. Second, the authors document an adverse influence of competition on the soundness of larger banks consistent with the “too-big-to-fail” assertion. Third, results corroborate the disciplinary role of regulatory capital and lend support to stricter capital norms under Basel III in a more competitive environment.

Originality/value

This paper is perhaps the first to capture competition and concentration in a single model; to reconcile conflicting evidence on competition-risk nexus; to shed light on the joint effect of competition and Basel accords for Indian banks.

Details

Competitiveness Review: An International Business Journal , vol. 33 no. 5
Type: Research Article
ISSN: 1059-5422

Keywords

Article
Publication date: 28 November 2022

Sonali Narbariya, Mohammad Abdul Nayeem and Ritu Gupta

This study intends to advance the research on the relationship between high-performance work systems (HPWS) and change readiness by examining the mediating role of positive…

Abstract

Purpose

This study intends to advance the research on the relationship between high-performance work systems (HPWS) and change readiness by examining the mediating role of positive employee outcomes. Therefore, the streams of strategic human resource management (SHRM) and change management are studied in the context of digital transformation in the post-COVID-19 pandemic scenario.

Design/methodology/approach

Primary responses from 409 Information Technology (IT) employees were analysed to investigate the mediating relationship between HPWS, positive employee outcomes and employee readiness to change. Researchers used statistical techniques to analyse the data, such as confirmatory factor analysis, correlations, regression and bootstrapping. In addition, sequential mediation was examined using “PROCESS Macro” and syntax for SPSS.

Findings

Results of the study revealed that implementation of HPWS through extensive training and development, performance-based appraisal and compensation, participation in decision-making, flexible work arrangements and rigorous recruitment and staffing results in enhanced employee-level outcomes. Thereby conclusively impacting their readiness to change for digital transformations.

Practical implications

This study revisits the elements of HPWS in the post-pandemic work-from-anywhere (WFA) scenario. Thus, it provides adequate indications that investment in designing bundles of change-oriented human resource (HR) practices amplifies the chances of success of a change initiative by creating a favourable mindset and attitude among IT employees in India.

Originality/value

This study is among the earliest to link two major streams of SHRM and change management by establishing HPWS as an essential antecedent of a change-related outcome by introducing multiple mediators in the sequence. This sequence provides new insights for enhancing the probability of organisational change directives succeeding.

Details

Personnel Review, vol. 51 no. 8
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 8 January 2020

Sonali Shankar, P. Vigneswara Ilavarasan, Sushil Punia and Surya Prakash Singh

Better forecasting always leads to better management and planning of the operations. The container throughput data are complex and often have multiple seasonality. This makes it…

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Abstract

Purpose

Better forecasting always leads to better management and planning of the operations. The container throughput data are complex and often have multiple seasonality. This makes it difficult to forecast accurately. The purpose of this paper is to forecast container throughput using deep learning methods and benchmark its performance over other traditional time-series methods.

Design/methodology/approach

In this study, long short-term memory (LSTM) networks are implemented to forecast container throughput. The container throughput data of the Port of Singapore are used for empirical analysis. The forecasting performance of the LSTM model is compared with seven different time-series forecasting methods, namely, autoregressive integrated moving average (ARIMA), simple exponential smoothing, Holt–Winter’s, error-trend-seasonality, trigonometric regressors (TBATS), neural network (NN) and ARIMA + NN. The relative error matrix is used to analyze the performance of the different models with respect to bias, accuracy and uncertainty.

Findings

The results showed that LSTM outperformed all other benchmark methods. From a statistical perspective, the Diebold–Mariano test is also conducted to further substantiate better forecasting performance of LSTM over other counterpart methods.

Originality/value

The proposed study is a contribution to the literature on the container throughput forecasting and adds value to the supply chain theory of forecasting. Second, this study explained the architecture of the deep-learning-based LSTM method and discussed in detail the steps to implement it.

Details

Industrial Management & Data Systems, vol. 120 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 6 November 2019

Sonali Madhusmita Mohapatra

The purpose of this paper is to investigate the linkage between exchange rate exposure and firms’ productivity in India. This study also tries to compare the effects of exchange…

Abstract

Purpose

The purpose of this paper is to investigate the linkage between exchange rate exposure and firms’ productivity in India. This study also tries to compare the effects of exchange rate exposure on the productivity of the pre- and post-financial crisis periods and also between export- and import-oriented firms.

Design/methodology/approach

By using the annual data of 232 manufacturing and service sector firms for the period of 2000-2013, this paper examines the exchange rate exposure and firms’ performance in India. In the first stage, the two-factor regression model, Adler and Dumas, is used, and in the second stage, the Levinsohn and Petrin (2003) approach is used for estimating the total factor productivity of significant firms. Finally, for examining the relationship between exchange rate exposure and productivity, the instrumental variable panel data regression model is used.

Findings

This study observes that a negative relation exists between the appreciation of exchange rate exposure and firms’ productivity. The study also reveals that the export-oriented firms make loss during exchange rate appreciation which decreases the productivity. The financial crisis has the negative impact on productivity, as well.

Originality/value

Although there are an ample number of studies which examined the effects of the exchange rate on firm’s export, growth, investment, however impact of exchange rate exposure on productivity at firm level is scanty. This study tries not only to compare the effects of exchange rate exposure on the productivity of the pre- and post-financial crisis periods but also between the export- and import-oriented firms which is another innovation of this study.

Details

Journal of Financial Economic Policy, vol. 12 no. 4
Type: Research Article
ISSN: 1757-6385

Keywords

Article
Publication date: 29 April 2021

Sonali Shankar, Sushil Punia, Surya Prakash Singh and Jingxin Dong

The literature on Maritime Transportation (MT) is experiencing a transition phase where the focus of the research is repositioning. It registered steep growth in recent years with…

Abstract

Purpose

The literature on Maritime Transportation (MT) is experiencing a transition phase where the focus of the research is repositioning. It registered steep growth in recent years with its beginning articles on the concepts of cost minimization to the current focus on achieving sustainable operational effectiveness using Information and Communication Technologies (ICTs). Thus, this becomes a right time to investigate the trajectory of research on MT.

Design/methodology/approach

The proposed study aims to explore the potential of data analytics techniques such as data mining and network analytics to reflect the trajectory of research in the maritime supply chain over time. This study identifies the eight main dimensions of the research published under maritime paradigm through network analytics. The in-depth review of these dimensions rendered us to segregate them further into sub-dimensions for the ease of understanding and interpretability. Further, the text mining is employed to extract thematic evolution of the research.

Findings

The evolved themes are completely exclusive from the conventional MT research with artificial intelligence, digital storage, waste management and biofuels emerging as contemporary themes. It is found that although there are a sufficient amount of literature on sustainable port practices but their policy implications are still underexplored. The inter-dimension research is needed to achieve the motive of economic efficiency and environmental sustainability simultaneously.

Originality/value

The study has contributed on the methodology side of conducting literature reviews. The dimensions, sub-dimensions and themes are obtained using data analytics tools and techniques. This omits the possibility of personal bias and thus making the results verifiable.

Details

Benchmarking: An International Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of 26