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Article
Publication date: 18 December 2023

Arpit Gupta and Arya Kumar Srustidhar Chand

The purpose of this paper is to study the spillover effects of foreign direct investment (FDI) on skilled–unskilled wage inequality in the Indian manufacturing industries.

199

Abstract

Purpose

The purpose of this paper is to study the spillover effects of foreign direct investment (FDI) on skilled–unskilled wage inequality in the Indian manufacturing industries.

Design/methodology/approach

The authors show theoretically with a model of spillover that if foreign firms (receiving FDI) have a negative spillover effect on domestic firms (not receiving FDI), then the level of capital and skilled workers in the domestic firms falls down. Consequently, the authors conduct an empirical analysis by using system GMM estimation technique on the firm-level data of the Indian organised manufacturing sector.

Findings

The authors show that wage inequality worsens when there is negative spillover effects like competition spillover or skill spillover effect of FDI in India.

Originality/value

To the best of the authors’ knowledge, this is the first attempt to measure the various spillover effects of FDI on the wage inequality in the Indian manufacturing industries by using firm-level data.

Details

Indian Growth and Development Review, vol. 17 no. 1
Type: Research Article
ISSN: 1753-8254

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Article
Publication date: 7 April 2023

Devang Chhtrapati, Dharmendra Trivedi, Shanti P. Chaudhari, Arpit Sharma and Atul Bhatt

This study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive…

368

Abstract

Purpose

This study concentrates on assessing the research productivity in the domain of social media security in the past decades. The purpose of this study is to conduct a comprehensive bibliometric review on social media using various bibliometric indicators.

Design/methodology/approach

A total of 8,121 scientific publications were retrieved from Scopus database from period 1998 to 2021 using associated keyword search. This study also used VOSviewer© tool to evaluate the network visualisation.

Findings

The result of this study revealed that there is a steady growth of annual publications except for the years 2015 and 2016. A total of 8,121 scientific publications and 80,454 total citations were found with 11.2 average citations per publication. The USA, China and India were top productive countries in terms of publishing research in the field; Chinese Academy of Sciences secured top position with 126 publications in highly productive organisation in the domain. The lecture notes in computer science from Springer Nature received a highly produced title with 553 publications and 4,453 total citations. For co-occurrence of author’s keywords, network visualisation analysis revealed that “Social Media”, “Social Network”, “Security”, “Privacy” and “Trust” found maximum occurrence in the domain of social media security.

Research limitations/implications

This study provides comprehensive research status of social media security by performing a bibliometric analysis. The findings of this study will help relevant researchers to understand the research trend, pursue scientific collaborators and enhance research topic preferences.

Originality/value

The rareness of this study, detailed bibliometric analysis on the domain of social media security, is proven using numerous bibliometric indicators and application of VOSviewer in the domain.

Details

Information Discovery and Delivery, vol. 52 no. 1
Type: Research Article
ISSN: 2398-6247

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Article
Publication date: 19 July 2022

Vimal Kumar, Pratima Verma, Tsz-Chun So, Arpit Singh and Ali Al Owad

This study aims to identify key supply chain challenges and opportunities of the case of Hong Kong toy manufacturing company during the COVID-19 outbreak and develop a…

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Abstract

Purpose

This study aims to identify key supply chain challenges and opportunities of the case of Hong Kong toy manufacturing company during the COVID-19 outbreak and develop a comprehensive structural relationship to rank them.

Design/methodology/approach

In this study, a toy model company in Hong Kong is considered to discuss about what challenges and opportunities have the biggest impacts on non-necessary goods companies and how to deal with different impacts on entire supply chain flow disruption during COVID-19. A semi-structured interview with five decision-makers from the company was made to give key challenges and opportunities scores. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique is used to establish the model and rank them afterward to overcome the challenges.

Findings

From the data analysis and results, “salary of employee” and “inconvenient transportation” have emerged as top and bottom key challenges respectively. The sequence of organized challenges in the list needs to mitigate one by one in this order to improve the supply chain performance. The “client's orders’ frequency, customer management” and “supplier/partner relationship management” are identified as the top and bottom respectively to develop the opportunities.

Research limitations/implications

These key challenges and opportunities are identified as contributing attributes and provide the way to measure to improve production, profits and sustainable growth of the toy manufacturing company during a pandemic. Moreover, it helps to improve the distribution level and good planning with appropriate decision making to manage the supply chain performance considering humanitarian aspects during a pandemic outbreak.

Originality/value

The novelty of this study is to identify the key supply chain challenges and opportunities measured by the TOPSIS method to rank them and consider the case of a Hong Kong toy manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 12 no. 4
Type: Research Article
ISSN: 2042-6747

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75

Abstract

Purpose

This study aims to offer an overview of the models of clinical care of the patients with dual disorders in India.

Design/methodology/approach

All the members of the Dual Diagnosis India Network (DDIN) who shared the clinical care delivery at their center were invited to share the details of their model. In addition, an invite was also sent to those members who could not attend the online session but were interested in contributing the required information about their model. The information shared by the respondents was collated. The different models were then categorized based on their features.

Findings

Following the categorization of the clinical care services organization across different settings, five different models emerged. These were specialized dual diagnosis clinic; services for dual disorders offered as substance use disorder (SUD) treatment services within general psychiatry care; services for dual disorders in general psychiatry care; services for dual disorders offered as SUD treatment services separated from general psychiatry care; and services for dual disorders offered in general psychiatry services combined with exclusive SUD treatment services.

Originality/value

Currently, there is limited literature on models of dual disorders from the low- and middle-income countries. The authors believe that the documentation of these models from India shall be of help while setting up services for dual disorders in other health-care settings. This study can be a valuable resource for making informed choices while setting up new services.

Details

Advances in Dual Diagnosis, vol. 15 no. 4
Type: Research Article
ISSN: 1757-0972

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Article
Publication date: 14 April 2022

Abhijeet K. Digalwar and Arpit Rastogi

Environmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been…

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Abstract

Purpose

Environmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been made to make electric vehicles (EVs) feasible for commercial use. However, despite of many efforts by the Government of India, the rate of adoption of EVs in India has not been up to the mark. To bridge this gap, present study understands the social acceptability and sustainability of EVs and identifies the social factors, builds inferences from the results obtained and helps in orienting the manufacturers and decision makers towards faster adoption of the EVs.

Design/methodology/approach

The social factors responsible for the growth of EVs in India are identified by literature survey. A questionnaire has been developed for understanding the customer’s perception towards EVs. The results of the survey are analysed using the tools on descriptive statistics, structural equation model using Statistical Package for the Social Sciences and hypothesis testing and the results are validated.

Findings

The results of the study are based on three hypotheses. The findings show that although the financial and the infrastructure factors have positive impact on rate of adoption of EVs in India; the vehicle performance factors have a negative impact on EVs adoption, implying that the respondents of the survey who feel that the vehicle performance factors are the most imperative have a more passive mind-set towards the EVs adoption.

Research limitations/implications

The research work is based on the survey conducted on the pilot region of the national capital region of the country where the majority of the respondents of the survey are conventional fossil fuel vehicles (CFFV) owners. A more accurate analysis on the social factors affecting deployment of EVs in the Indian market can be done if the population of the survey consists of equal share of CFFV and EV owners from all across the nation.

Practical implications

This study will help researchers get a better understanding of the reasons for slow adoption rate of EVs in India. This paper sheds light upon the social factors responsible for the same. The Government of India can use the results of this study to understand the factors responsible for non-adoption and the recommendations for its further work on “Faster Adoption and Manufacturing of (Hybrid) and Electric Vehicles” India scheme.

Social implications

Results of the study identifies the factors that slow down the adoption rate of EVs in India. The paper suggested potential solutions for the same. Successful implementation in terms of policies and technological advancements can propel India to the top in EV market. Switching to EVs brings about a radical change in the social life of the people and can improve the social status and lifestyle of the people.

Originality/value

Existing research has not focussed much on the social aspects of EVs in India. The present work is solely the result of the strategic thinking, planning, work and implementation by the authors.

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Article
Publication date: 30 June 2023

Kevin Fagan, Xiaodi Li, Ermengarde Jabir and Victor Calanog

The authors take a historical perspective and compare office market performance metrics and CMBS loan delinquency rates over the past two years with previous downturns.

182

Abstract

Purpose

The authors take a historical perspective and compare office market performance metrics and CMBS loan delinquency rates over the past two years with previous downturns.

Design/methodology/approach

What will happen to the office sector in the post-pandemic era? we examine this question from three perspectives. First, the authors discuss the (short-term) risk of commercial real estate investment with high inflation and rising interest rates. If investors want to use CRE as an inflationary hedge, the cash flow must increase enough to counteract growing cap rates given rising interest rates.

Findings

As it turns out, the COVID-19 recession has been notably innocuous. Third, the authors focus on medical office space – an emerging investment option for the office sector.

Practical implications

The authors remain somewhat positive (or at least less downbeat) about the future of the office market based on the data they reviewed.

Originality/value

The office market is experiencing an odyssey rather than an exodus, at least in the short run. However, the authors remain cautious and they are monitoring key signs, prepared for the possibility of (r)evolutionary change in the office sector.

Details

Journal of Property Investment & Finance, vol. 41 no. 5
Type: Research Article
ISSN: 1463-578X

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Article
Publication date: 30 December 2024

Rohit Raj, Vimal Kumar, Arpit Singh and Pratima Verma

This study aims to investigate the relationship between patient satisfaction (PS) and the parameters in healthcare and supply chain management (HLSCM).

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Abstract

Purpose

This study aims to investigate the relationship between patient satisfaction (PS) and the parameters in healthcare and supply chain management (HLSCM).

Design/methodology/approach

The structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) method have been employed to identify correlation and possible configuration of causal factors that influence PS, including lack of resilience (LS), lack of visibility (LV), cost management (CM) and integration and interoperability (II).

Findings

The results from SEM confirmed that PS is highly correlated with lack of visibility, CM and II as critical parameters. Moreover, fsQCA findings state that the configuration of high levels of both resilience and lack of visibility, as well as high levels of II, are crucial for PS.

Research limitations/implications

The researchers also identified the configuration of factors that lead to low PS. The study’s results could assist healthcare providers in improving their supply chain operations, resulting in more effective and efficient healthcare service delivery and ultimately improving PS.

Originality/value

The fsQCA method used in the study provides a more nuanced understanding of the complex interplay between these factors. The inclusion of supply chain management characteristics as parameters in the evaluation of PS is a novel aspect of this research. Previous studies largely focused on more traditional factors such as physical care, waiting times and hospital amenities. By considering supply chain management factors, this study provides insights into an under-explored area of PS research, which has important implications for healthcare providers looking to improve their operations and PS.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 14 May 2024

Rohit Raj, Arpit Singh, Vimal Kumar and Pratima Verma

Recent technological advancements, often linked to Industry 4.0, require organizations to be more agile and innovative. Blockchain technology (BT) holds immense potential in…

358

Abstract

Purpose

Recent technological advancements, often linked to Industry 4.0, require organizations to be more agile and innovative. Blockchain technology (BT) holds immense potential in driving organizations to achieve efficiency and transparency in supply chains. However, there exist some insurmountable challenges associated with the adoption of BT in organizational supply chains (SC). This paper attempts to categorically identify and systematize the most influential challenges in the implementation of BT in SC.

Design/methodology/approach

This study resorts to an extensive literature review and consultations with experts in the field of supply chain management (SCM), information technology and academia to identify, categorize and prioritize the major challenges using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Combined Compromise Solution method (CoCoSo).

Findings

The top three classes of challenges revealed in this study are privacy challenges (PC), infrastructure challenges (IC) and transparency challenges (TC). Maintaining a balance between data openness and secrecy and rectification of incorrect/erroneous input are the top two challenges in the PC category, integration of BT with sustainable practices and ensuring legitimacy are the top two challenges in the IC category, and proper and correct information sharing in organizations was the top most challenge in the TC category.

Originality/value

Future scholars and industry professionals will be guided by the importance of the challenges identified in this study to develop an economical and logical approach for integrating BT to increase the efficiency and outcome of supply chains across several industrial sectors.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 8
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 20 September 2022

Arpit Singh, Vimal Kumar, Pratima Verma and Bharti Ramtiyal

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency…

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Abstract

Purpose

With increasing pressure from the government and private sectors to be more environmentally and socially responsible, sustainable supplier selection has gained enormous currency in recent times. Particularly, in the case of the construction industry, owing to a large amount of industrial wastage generated and extreme workplace conditions, it is even more important to devise strategies to mitigate the harmful consequences. The most crucial step in this regard is the selection of sustainable suppliers that acquire a pivotal position in the supply chain ecosystem. This study aims to identify indicators for three criteria such as economic, environmental and social, and prioritize them according to their level of significance for sustainable supplier selection in the Indian construction industry.

Design/methodology/approach

In this study, the best-worst method (BWM) is presented for sustainable supplier selection in Indian construction organizations. Total of 27 indicators was identified for the three criteria of the triple bottom line (TBL) approach namely economic, environmental and social. Using BWM, the most important criterion was found and subsequently, all the indicators under each criterion were ranked in order of importance.

Findings

The analysis revealed that the environmental criterion was the most important criteria in the sustainable supplier selection followed by the economic criteria. The indicators that were the most influential in the effective selection process were “Usage of recyclable raw materials for production”, “Adoption of clean and green technologies”, “Waste management” and “Periodical environmental audits” under the environmental criteria; “Efficiency”, “Cost” and “Flexibility and Scalability” from the economic criteria; and “Safety programs” and “Information disclosure” in the social criteria.

Research limitations/implications

The study provides a reference framework for the selection of sustainable suppliers in construction organizations. The findings can also be used for the assessment of suppliers' performance in the supply chains.

Originality/value

The novelty of this work lies in its attempt to model the performance of suppliers in the Indian construction supply chains.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 4
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 1 December 2022

Ankesh Mittal, Vimal Kumar, Pratima Verma and Arpit Singh

The study aims to identify organizational variables of quality 4.0 for an Indian manufacturing company in the case of digital transformation. Furthermore, the organization…

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Abstract

Purpose

The study aims to identify organizational variables of quality 4.0 for an Indian manufacturing company in the case of digital transformation. Furthermore, the organization enhances its quality 4.0 performances to its success based on the degree of relevance of these variables, insight into these variables and sub-factors to prioritize them.

Design/methodology/approach

Initially, two rounds of the survey were conducted with 11 decision-makers from the company made to receive organizational variables scores and prioritize the factors and sub-factors. Analytic Hierarchy Process (AHP) based research methodology has been proposed to assign the criterion weights and prioritize the identified variables.

Findings

The results of this AHP model demonstrate that “Committed Leadership” is recognized as the top positioned variable and most significant organizational variable, followed by Collaboration and Quality culture, which are developed at the next level. These essential organizational variables with their sub-categories' priorities are identified as contributing attributes.

Research limitations/implications

The findings facilitate quality 4.0 in the digitalization era, which take into contemplating the current state of the business. Furthermore, the understanding of variables provides insightful guidance to analyze, solve complex problems and assess the efficacy of quality 4.0 in digital transformation.

Originality/value

The novelty of this study is to pinpoint, and evaluate the responsible organizational variables and prioritize them that lead to high productivity and competitive advantage considering the AHP method.

Details

The TQM Journal, vol. 36 no. 1
Type: Research Article
ISSN: 1754-2731

Keywords

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