Search results

Herd behavior has been studied herein and tested based on primary respondents from Indian markets.

The paper expounds the empirical evidence by applying the cross-sectional absolute deviation method and reporting on herd behavior among decision-makers who are engaged in trading in the Indian stock market. Further, the study attempts to analyze the market-wide herding in the Indian stock market using 2230 daily, 470 weekly and 108 monthly observations of Nifty 50 stock returns for a period of nine years from April 1, 2009 to March 31, 2018 during the normal market conditions, extreme market conditions and in both increasing and decreasing market conditions.

In a span of a decade witnessing different market cycles, the authors’ results exhibit that there is no evidence of herding in any market condition in Indian stock market primarily due to the dominance of institutional investors and secondly because of low market participation by individual investors.

The results reveal that there is no impact of herd behavior on the stock returns in the Indian equity market during the normal market conditions. It highlights that the participation of individuals who are more prone to herding is more evident for short-run investments, contrary to long-term holdings.

The purpose of this paper is to examine the nexus among public expenditure allocated to education, educational attainment at secondary level and unemployment rate in India for the period 1987–2017.

The study employs autoregressive distributed lags (ARDL) bound testing approach suggested by Pesaran et al. (2001) to find the long-run relationship among the variables. The causal linkages are investigated through block exogeneity test based on vector error correction model.

The empirical results indicate that educational attainment proxied by gross enrolment ratio at secondary level of education negatively affects unemployment rate in long run as well as in short run. However, public expenditure on education is ineffective in influencing both educational attainment and unemployment rate.

The study is the first empirical effort to identify the causal nexus among public expenditure on education, educational attainment and unemployment in the context of India.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2019-0396

The purpose of this research is to examine the impact of perceived service quality (PSQ) on the behavioural intention (BI) of patients in Indian government hospitals. The underlying mechanism of trust and patient satisfaction (SAT) is examined as multiple mediating effect.

Data from 510 respondents were collected using structured questionnaires. Six government hospitals, namely, S.M.S. Hospital, J.L.N. Hospital, New Medical College Hospital, Maharana Bhupal Medical Hospital, Mathuradas Hospital and P.B.N. Hospital, were selected from the cities of Jaipur, Ajmer, Kota, Udaipur, Jodhpur and Bikaner, respectively. The data were collected from adult patients (>18 years old) who spent at least two nights in a government hospital between 1 October, 2020 and 30 December, 2020. PSQ formed as a reflective-formative model was analysed using the repeated indicator approach. Structural equation modelling (SEM) using SMART-PLS software was used to test the hypothesised model(s) derived deductively from literature.

The findings support the following conclusions: (1) the positive relationship between PSQ and BI is significant; (2) SAT mediates the PSQ and BI relationship; (3) trust mediates the PSQ and BI relationship; (4) the mediation effect of SAT is stronger than that of trust.

The results indicate that, in order to enhance the positive BI of patients towards government hospitals, it is necessary for the hospitals to work on strategies to enhance the service quality provided to patients. The outcome of this study will enable state government hospitals to get a better understanding of the different dimensions of service quality and will help in observing the factors that contribute to patients' satisfaction and trust in building long-term relationships by encouraging a positive BI.

There is a dearth of research in India that evaluates the relationships between the constructs PSQ, trust, BI and SAT in the context of healthcare service. This empirical study is an attempt to fill this gap by focussing on the government hospitals in India.

This paper aims to provide a bibliometric review and visualisation analysis of the literature on Sustainable Stock Indices (SSI) between January 2001 and March 2022. The purpose of performing this bibliometric analysis is to empirically report the trend, intellectual structure, knowledge development directions and identify prospective research topics in the area of SSI.

A total of 222 publications were selected after evaluating, identifying and synthesising the extensive publications using the Preferred Reporting Items for the Systematic Reviews and Meta-Analyses (PRISMA) approach. The articles were extracted from the databases of SCOPUS, Web of Science and Google Scholar. The study uses VOSviewer and RStudio software to answer four research questions.

The results signify that there has been a considerable increase in the level of research considering SSI. Further, the study shows that SSI is among the top five trending keywords in the research related to finance and environment. Most papers considered as a sample for this study are based on Dow Jones Sustainable Indices. Noteworthy, very few economies are participating in this research domain, and the significant contribution is from the developed countries.

The present review paper may assist the researchers in identifying the trending research topics in this domain. It may serve as a roadmap for several further studies in the area.

This study is unique in terms of reviewing the literature based on SSI. Further, it provides a holistic view of the current trend, global position and research hotspots of SSI, which has important implications for future research.

Today, a firm’s major concern is to know the way in which an innovation is adopted in the marketplace. The purpose of this paper is to focus on the two-stage nature of diffusion process in which the time lag between people being informed and their act of making final purchase is considered.

The paper discusses an approach based on the time lag for modeling awareness and adoption process as two separate and yet connected processes. Varying forms of time lag (constant, deterministic or random) have been considered while modeling the required framework. Furthermore, an equivalence approach has been shown between the present framework and the two well-known and established approaches of infinite queuing theory and hazard rate function.

The results are verified on sales data of two different consumer durables and it show good prediction capability of proposed models in capturing the real-life scenario. Further, the equivalence approach helps us to quantify such scenarios which were difficult to be modeled with any one particular approach. Further, the possibility of capturing different market scenarios by studying various distribution functions has been identified.

The proposed methodology is based on a two-stage adoption process. The same can be extended to a multi-stage adoption process as in today’s competitive environment. “Motivation” is one such factor that is highly important which can be considered in some later studies. In future, the authors wish to study the multi-stage adoption process considering the different forms of time lag function.

The equivalence approach discussed in the paper can help to cater the possibility of capturing different market scenarios by studying various distribution functions.

The proposed approach helps to cater the time lag between awareness and adoption process and develop different mean value functions to account for the manner in which sales are happening under different circumstances. The proposed methodical approach can also help decision makers in managing their available resources in a prudent manner.

This study aims to identify factors affecting generation Z as the early adopters of mobile commerce (m-commerce). The research seeks to explore their behavioral intention to adopt m-commerce in India with consideration of gender differences while providing empirical validation for the theory of planned behavior (TPB).

In this study, a modified TPB model has been used to explain generation Z’s intention to adopt m-commerce. The proposed model was tested using a survey method with a sample of 245 students from a private university in Northern India. Subgroup analysis was performed to find gender differences in the process of adopting m-commerce.

All three independent constructs have a positive influence on the behavioral intention of generation Z to adopt m-commerce. Further, the male subgroup has a lower beta value for attitude and higher beta value for subjective norm in comparison to the female subgroup. For perceived behavioral control, no significant difference in beta value across gender could be established.

A better understanding of generation Z behavioral intentions will be of great use to telecom companies, marketers and electronic commerce companies to formulate strategies to expedite the use of m-commerce. As gender plays an important role in attitude and subjective norms, companies are advised to target their communication tactics in accordance to gender.

To the best of the authors’ knowledge, this study is one of the first to test TPB and generation Z association in the context of m-commerce adoption in India. Data regarding the difference between the two genders has also shed light on the uniqueness of the context.

Logistics companies are compelled to improve their efficiency and the environmental performance by introducing the green concept in their operations. The main purpose of the paper is to have continuous monitoring and tracking of logistics operations to enhance the green performance.

This research uses a case study approach. It illustrates a monitoring system to digitize the logistics activities by sending real-time GPS data to the server and capture the surrounding pictures with the help of the internet of things (IoTs) based camera. Data generated through digitization is mathematically analyzed for ensuring a green logistic system. The alerts due to the halts, help in keeping a check on fuel consumption, carbon emissions and security of logistics. Performance indicators such as carbon emissions and the value of travel time saving (VTTS) are selected for the study.

The findings of the study show that the actual travel time and distances are higher than the estimated travel time and distances. It also reveals that actual travel routes with diversions involve a considerably higher amount of carbon emissions during all sample travels. The results indicate a considerable saving in terms of carbon emissions, time and cost savings by effective practices of Green Logistics in Monitoring system (MSGL). These findings can help the top management of logistics companies in formulating effective strategies for technology applications in logistic operations to ensure green performance.

The study has been carried out under certain set of conditions, which may vary depending upon the organizations. Also certain more environmental dimensions for performance monitoring can be used as a future scope of study. Further studies also need to be carried out to widen the scope of the MSGL model at a global level rather than only at local level.

Any organization which deploys transportation as part of their activity can use this MSGL model and then do the mathematical analysis to reduce the CO₂ emissions, reduce the time and extra cost. The value of this study lies in the fact that government is trying different methods and models to reduce pollution. This MSGL should be made compulsory by the government as a part of their policies for environment of the country.

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.

With growing environmental and social issues worldwide, sustainability disclosures and reporting have become a focal point of discussion. This study aims to investigate the role played by gender diversity in sustainability disclosures in the context of India, over a period of eight years.

The study devises a unique sustainability reporting quality index and employs the generalized ordered logit model, which ensures that results are parsimonious even if the assumptions under a logit model are violated.

The results suggest that with an increase in the percentage of women directors and the number of independent women directors on board, the sustainability reporting quality is likely to improve.

The results of the study shall play a significant role for the corporate houses established in India, as it encourages them to modify their directors' selection process and ensure that women are able to break the “glass ceiling” to reach the upper echelon in the firms.

The study gives an insight into the role played by women directors in sustainability reporting quality aspect, and therefore, the regulatory bodies, as well as policymakers of the Indian economy, shall formulate such regulations which can advance the presence of women on the board and in the decision-making process.

This study is among the first to investigate the relationship between gender diversity and sustainability reporting quality using the generalized ordered logit model which is an improvement over the previously used techniques. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.

This study aims to highlight the impact of introducing women directors to board committees, thereby empowering them to contribute to decision-making, and as a result, influence firms’ financial performance in an emerging economy.

This study uses a fixed-effects panel data regression model to test the impact of gender diversity on corporate boards as well as board committees on firms’ financial performance. Two widely used diversity measures, the Blau index and the Shannon index, have been used to enhance the robustness of the results.

The findings suggest that gender diversity on prominent board committees (remuneration committee and nomination committee) positively affects firms’ financial performance when measured by the market-based performance measure, but it is insignificant when measured through accounting-based performance indicator. Furthermore, the benefits of gender diversity accrue to the firms only when women are part of prominent committees and are engaged in governance mechanisms, rather than just being appointed on corporate boards as a means of tokenism.

This study is among the first to investigate the relationship between gender diversity and financial performance through the lens of committee assignments. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.