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1 – 10 of 13Varun Mahajan, Sandeep Kumar Mogha and R.K.Pavan Kumar Pannala
The main purpose of this paper is to determine the bias-corrected efficiencies and rankings of the selected hotels and restaurants (H&Rs) in India.
Abstract
Purpose
The main purpose of this paper is to determine the bias-corrected efficiencies and rankings of the selected hotels and restaurants (H&Rs) in India.
Design/methodology/approach
The data for the Indian H&R sector are collected from the Prowess database. The bootstrap data envelopment analysis (DEA) based on a constant return to scale (CRS), variable return to scale-input oriented (VRS-IP) and variable return to scale-output oriented (VRS-OP) are applied on H&Rs to obtain the bias-corrected efficiencies.
Findings
It is found that relative efficiencies using basic DEA methods of all the 45 H&Rs of India are overestimated. These efficiencies are corrected using bias correction through bootstrap DEA methods. The bounds for the efficiencies of each H&R are computed using all the adopted methods. All H&Rs are ranked using bias-corrected efficiencies, and the linear trend between ranks suggests that the H&Rs are ranked almost similarly by all the adopted methods.
Practical implications
To improve efficiency, Indian H&R companies must rethink their personnel needs by enhancing their workforce management capabilities. The government needs to extend more support to this sector by introducing a liberal legislation framework and supporting infrastructure policies.
Originality/value
There is a paucity of studies on H&Rs in India. The current study focused on measuring bias-corrected efficiencies of the selected H&Rs of India. This study is one of the few initiatives to explore bias-corrected efficiencies extensively using the bootstrap DEA method.
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Shubham Garg, Priyanka, Karam Pal Narwal and Sanjeev Kumar
The purpose of the current study is to examine the implications of the implementation of Goods and Service Tax (GST) on the revenue efficiency of the sub-national governments in…
Abstract
Purpose
The purpose of the current study is to examine the implications of the implementation of Goods and Service Tax (GST) on the revenue efficiency of the sub-national governments in India. Furthermore, the study aims to compare the revenue efficiency of the Indian states for the pre-GST and post-GST periods in India.
Design/methodology/approach
The study has used the annual revenue of value-added tax (VAT)/GST of the Indian states for the period ranging from 2012–2013 to 2020–2021 for the pre- and post-GST periods. The empirical results are based on the panel regression model for examining the implications of GST adoption on the Indian states.
Findings
The analysis shows that the implementation of GST in India has negatively impacted the revenue efficiency of the Indian states. Moreover, the results affirm that the contribution of the service sector to the state's Net State Domestic Product (NSDP), credit-deposit ratio (CDR) and outstanding net bank credit (ONBC) ratio of schedule commercial banks (SCBs) positively and states' dependency on central transfers (DCT) negatively impact the tax revenue efforts of the state governments. Furthermore, the GST adoption has a greater impact on the revenue efficiency of the minor states in comparison to major states which may widen the inter-state disparity gap as GST revenue constitutes a major share in the Own Tax Revenue (OTR) of the Indian states in aggregate.
Practical implications
The current study will act as a guide for government, policymakers and for the sitting of the fifteenth finance commission in India for future policy formulation on GST and compensation to the Indian states. Similarly, this study can be used as a base for conducting future studies on the implications of GST at the national, sub-national, and international levels.
Originality/value
Previous studies on the implications of GST are theoretical and conceptual. There is hardly any study at the national or sub-national level that has focused on the implications of GST on the revenue efficiency of the Indian states.
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The purpose of this paper is to explore how variations in management’s tone within management’s discussion and analysis (MD&A) sections of 10-K reports can serve as an indicator…
Abstract
Purpose
The purpose of this paper is to explore how variations in management’s tone within management’s discussion and analysis (MD&A) sections of 10-K reports can serve as an indicator of tax avoidance and highlight the complex relationship between such linguistic shifts and the tax avoidance decisions within firms.
Design/methodology/approach
The paper uses a textual analysis approach to identify linguistic cues in MD&A sections of 10-K filings related to tax avoidance, going beyond traditional quantitative measures. The study uses differences in negative word occurrences in MD&A to measure management’s tone change and examines various measures of tax avoidance. The sample covers the period from 1993 to 2017 and comprises all firms with 10-K filings available on EDGAR, totaling over 30,000 firm-year observations.
Findings
The findings indicate a complementary relationship between tax avoidance and other drivers of firm performance. When firms have more negative management’s tone, they are less willing to engage in tax avoidance and vice versa. The study’s approach with management’s tone change provides a different and statistically significant improvement in model fit for detecting tax avoidance.
Practical implications
This paper provides actionable insights for detecting tax avoidance through the analysis of management’s tone in corporate disclosures, offering a new tool for researchers, investors and tax authorities. It highlights the importance of linguistic cues as indicators of tax avoidance behavior, complementing traditional financial metrics.
Originality/value
The paper contributes to the literature by using management’s tone change as a time-varying factor to explain tax avoidance behavior. It uncovers a larger set of linguistic cues in MD&A that can be used to detect tax avoidance. This research provides a complementary approach to traditional quantitative tax avoidance measures and offers insights into the overall relationship between tax avoidance and firm performance, going beyond one-dimensional measures typically used in prior literature.
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Mai-Huong Vo, Ngoc-Anh Nguyen, Estelle Dauchy and Nuong Nguyen
This study aims to estimate the pass-through rate of the increases in the excise tax and TCF tax on tobacco in Vietnam. This study seeks to shed light on how the tax burden is…
Abstract
Purpose
This study aims to estimate the pass-through rate of the increases in the excise tax and TCF tax on tobacco in Vietnam. This study seeks to shed light on how the tax burden is split between consumers and producers and inform policy discussions in the country. Using panel micro-level data collected from three waves of a nationwide retailer's survey, this study provides an evidence-based pass-through estimation for tobacco tax in Vietnam and contributes to the understanding of tax policy on smoking and smoking-related issues.
Design/methodology/approach
Following increases in the excise tax and TCF tax on tobacco in 2019, the differential effect of the tax hike on the “treatment group” (domestic cigarettes) versus the “control group” (illicit cigarettes) using a difference-in-difference (DID) analysis has been studied. The study utilized unique longitudinal retailers’ data on cigarettes prices in Vietnam from 2018 to 2019 to estimate the tax pass-through rate for some of the most popular factory-made cigarette brands.
Findings
This study found evidence of an over-shifting of cigarette taxes on smokers. Specifically, it discovered that the tax increase is absorbed more by low-priced brand smokers compared to premium brand users due to (1) the limited increase in prices under a pure ad valorem system and (2) the way the Vietnamese currency is denominated. Additionally, there is evidence of cushioning to mitigate price shock on consumers as the real prices increase gradually over the period of one year after the tax change.
Originality/value
To the best of the authors’ knowledge, this study is the first to collect and analyze a unique panel micro-level data from three waves of a nationwide retailers’ survey, which captures the changes in marketing and pricing strategies of the tobacco industry in Vietnam before and after an increase in excise tax in 2019. The results of this study could be used as a reference for future policymakers in considering increasing taxes on tobacco.
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Ngatindriatun Ngatindriatun, Muhammad Alfarizi and Rafialdo Arifian
This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department…
Abstract
Purpose
This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department factors from patients’ perspectives as service consumers.
Design/methodology/approach
This research is a type of nonintervention empirical research that uses an open survey to explore the views and experiences of users of specialist medical department services. The targeted population is hospital patients included in the top five national PERSI (Indonesian Hospital Association) Award 2022 Green Hospital Category, with a total number of respondents of 572 people. This study uses the partial least square-structural equation modeling analysis method with the SmartPLS application.
Findings
Patient flow problems generally affect the quality of eco-friendly health services, except for the waiting time problem, which affects service quality. It should be understood as a top priority for patients to receive services from medical specialists without risking time as a core service aspect from the patient’s perspective. In addition, all variables in eco-friendly hospital services affect patient satisfaction, except in the case of visits to specialist medical departments, which do not affect medical support services and hospital practices that are responsive to the delivery of care services resulting from medical support services that are inseparable in integrated services as well as health care following medical ethics.
Originality/value
This study has a novelty in understanding the implications of green practice in determining patient satisfaction in medical specialist department as the epicenter of hospital services and the main object of assessment for the quality of hospital services.
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Ala' Omar Dandis, Mohammad Al Haj Eid, Denis Griffin, Robin Robin and Arnt Kyawt Ni
This study examines factors that affect customer lifetime value (CLV) in fast-food restaurants (FFRs) in Jordan. These factors are relational benefits, brand experiences, service…
Abstract
Purpose
This study examines factors that affect customer lifetime value (CLV) in fast-food restaurants (FFRs) in Jordan. These factors are relational benefits, brand experiences, service quality (SQ), satisfaction, trust and commitment.
Design/methodology/approach
An online survey was collected from a sample of 503 respondents. The authors used SPSS to test the constructs' relationships and analyse the data. SmartPLS was used to test the hypotheses.
Findings
In contrast to previous studies, not all dimensions of brand experiences and relational benefits had a significant and positive influence on relationship marketing outcomes (satisfaction, trust and commitment). On the other hand, results demonstrated that SQ had a significant and positive influence on relationship marketing outcomes. Furthermore, research reveals that satisfaction, trust and commitment significantly and positively influenced CLV.
Practical implications
Those FFRs that seek to enhance CLV should build solid and sustainable bonds with their customers. This paper concludes by stating its implications, its limitations and the opportunities available for future research.
Originality/value
This study, which is unique in the Middle East, includes essential strategies for managing customer relationship that can be universally applied to improve customer benefits and maximise the performance of businesses.
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Ricardo Matheus, Stuti Saxena and Charalampos Alexopoulos
The purpose of the study is to understand the moderating impact of perceived technological innovativeness (PTI) in terms of gender differences as far as adoption and usage of Open…
Abstract
Purpose
The purpose of the study is to understand the moderating impact of perceived technological innovativeness (PTI) in terms of gender differences as far as adoption and usage of Open Government Data (OGD) is concerned.
Design/methodology/approach
Partial least squares-structural equation modelling (PLS-SEM) methodological approach is used wherein the adapted unified theory of acceptance and use of technology (UTAUT) model is being used for estimating the research model.
Findings
PTI has been attested to have moderating impact on the UTAUT-BI relationships in select cases (SI, SQ, IQ, TR-BI). Furthermore, gender differences were observed as far as far as the PTI's moderating role on UTAUT-BI relationships were concerned.
Originality/value
While there has been ample impetus upon the OGD adoption and usage propensities underscoring the role of different variables, the present study's contribution lies in terms of understanding the moderating role of PTI as far as individual-centric analysis is concerned.
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Discount grocery stores (DGSs) are attractive food supply chain (FSC) channels because many cost-conscious Indians use them for monthly needs. Despite capacity, DGSs must address…
Abstract
Purpose
Discount grocery stores (DGSs) are attractive food supply chain (FSC) channels because many cost-conscious Indians use them for monthly needs. Despite capacity, DGSs must address customer concerns about store crowd densities and improve their COVID-19 preparedness. The purpose of this study is to learn how retail operations strategies can improve customer experience and how stores can benefit.
Design/methodology/approach
The study looked at a case study where retail operations are run more efficiently, and the customer experience is enhanced by standardizing and customizing customer transactions. The potential benefits that customers and retailers might anticipate are then statistically verified. Next, the potential benefits were examined to determine which ones from customers’ and retailers’ views should be prioritized to increase satisfaction.
Findings
The case situation analysis in the study demonstrates how DGSs can improve their retail operations to reduce customer wait times and provide greater convenience. The study also provides practitioners with potential benefits to pursue from the perspectives of retailers, customers and both retailers and customers.
Research limitations/implications
This study requires many past transactions and can be considered an extension of the current study, so it does not capture floor space and capacity improvements.
Practical implications
This research can help FSC retailers compete with upstream supply chain partners and customers in omnichannel retailing. By improving DGS retailer capacity and customer experience, this study can benefit all FSC stakeholders.
Originality/value
Although there are numerous potential benefits that practitioners can pursue, the current study suggests that practitioners focus on those that can improve retailer and customer satisfaction.
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Pedro L. Angosto-Fernández and Victoria Ferrández-Serrano
The objective of this research is to identify the economic, demographic, sanitary and even cultural factors which explain the variability in the cross-section of returns in…
Abstract
Purpose
The objective of this research is to identify the economic, demographic, sanitary and even cultural factors which explain the variability in the cross-section of returns in different markets globally during the first weeks after the outbreak of COVID-19.
Design/methodology/approach
Building on the event study methodology and using seemingly unrelated equations, the authors created several indicators on the impact of the pandemic in 75 different markets. Then, and using cross-sectional regressions robust to heteroscedasticity and using an algorithm to select independent variables from more than 30 factors, the authors determine which factors were behind the different stock market reactions to the pandemic.
Findings
Higher currency depreciation, inflation, interest rate or government deficit led to higher returns, while higher life expectancy, ageing population, GDP per capita or health spending led to the opposite effect. However, the positive effect of competitiveness and the negative effect of income inequality stand out for their statistical and economic significance.
Originality/value
This research provides a global view of investors' reaction to an extreme and unique event. Using a sample of 75 capital markets and testing the relevance of more than 30 variables from all categories, it is, to the authors' knowledge, the largest and most ambitious study of its kind.
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Abhishek Raj, Vinaytosh Mishra, Ajinkya Tanksale and Cherian Samuel
The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres…
Abstract
Purpose
The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres of society due to the expanding population and developing economy. Timely collection and processing of medical waste are extremely important due to its potential hazards. Although the problem of planning medical waste management has been addressed in developed countries, it persists in several developing countries. This research is motivated by an example of a city in India characterized by a dense population, abundant health-care facilities and a lack of planning for managing large medical waste generated daily.
Design/methodology/approach
The authors address the problem of designing the network of collection and processing facilities for medical waste and optimizing the vehicle route that collects and transfers the waste between facilities. Due to distinct topographic restrictions in the considered city, the collection and transfer process needs to be conducted in two echelons – from hospitals to collection centers using smaller vehicles and then to the processing facilities using trucks. This work addresses these two problems as a two-echelon location-routing problem.
Findings
A mixed-integer programming model is developed to minimize the cost of opening the facilities and transporting medical waste. Several managerial insights are drawn up to assist planners and decision-makers.
Originality/value
This study follows a case study approach to provide a descriptive and prescriptive approach to hospital waste management in the ancient city of Varanasi. The city has witnessed unplanned growth over the years and is densely populated. The health-care facilities in the city have a large catchment area and attract patients from neighboring districts. The situation analysis based on secondary data and unstructured interviews of the stakeholders suggests that the ad hoc approach prevails in present hospital waste management in the city.
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