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Article
Publication date: 17 March 2020

Arunesh Garg and Pradeep Kumar Gupta

This study, based on the instrumental approach of the stakeholder theory, examines the firm performance of public and private sector firms in the mandatory corporate…

Abstract

Purpose

This study, based on the instrumental approach of the stakeholder theory, examines the firm performance of public and private sector firms in the mandatory corporate social responsibility (CSR) expenditure regime in India. CSR was legislated in India in the year 2014.

Design/methodology/approach

The study hypothesizes that firms which fulfill the mandatory CSR expenditure requirement will have a higher firm performance and uses one-way ANOVA and post-hoc test for analysis. Firm performance is examined with respect to firm value and market performance.

Findings

The instrumental approach of the stakeholder theory is not supported in the mandatory CSR expenditure regime in India. The public sector firms that comply with the mandatory CSR expenditure requirement have a lower firm performance. Further, the private sector firms that meet the mandatory CSR expenditure criterion do not have a significantly different firm performance than the private sector firms that do not fulfill this criterion.

Practical implications

The study indicates as to why some firms fail to meet the CSR expenditure compliance. It also gives suggestions on how regulators and government agencies can solicit the participation of the Indian firms to undertake CSR initiatives. The study further suggests how firms may reap maximum benefit from the CSR expenditure.

Originality/value

Since CSR expenditure has been made mandatory only in the year 2014 in India, hardly any study has examined firm performance in the mandatory CSR expenditure regime in India.

Details

South Asian Journal of Business Studies, vol. 9 no. 2
Type: Research Article
ISSN: 2398-628X

Keywords

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-85724-726-1

Article
Publication date: 9 March 2021

Amit Kumar Bardhan, Barnali Nag, Chandra Sekhar Mishra and Pradeep Kumar Tarei

An amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework…

Abstract

Purpose

An amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework for improving the overall performance of the microfinance institutions. A primary survey was conducted to collect real-time data from the heterogeneous stakeholders of microfinance institutions across India. The validation of the proposed framework is performed by comparing the results against the conventional method of Analytical Hierarchy Process (AHP).

Design/methodology/approach

This study identifies various dimensions and indicators for measuring the performance of Indian microfinance institutions. Additionally, the ranking and prioritisation of the performance dimensions and indicators is obtained by considering the mutual interrelation between them.

Findings

The study indicates that there exists a significant dyadic relationship between financial performance and social performance for improving the overall performance of the microfinance institutions. Governance is found to unidirectionally influence both financial and social performance. Among all the considered dimensions, financial performance of a microfinance institution is the most critical dimension for improving the overall performance. The top five performance indicators of the Indian microfinance institutions are funding source, borrowing and overhead cost, size of the firm, end-use of the money and depth of outreach.

Research limitations/implications

The study was conducted in the context of Indian microfinance institutions; hence the scope of generalisation of the results is limited. This research considers both subjective and objective aspect of the performance dimensions and indicators from the perspective of multiple stakeholders (i.e. firm, society and regulator). The integrated framework is expected to aid in improving overall performance of microfinance institutions by focusing on the most critical (high prioritised) performance indicators.

Originality/value

An integrated DEMATEL-ANP framework is used in the domain of microfinance to assess the performance dimensions. This study is unique in terms of analysing performance of microfinance institutions from the perspective of heterogeneous stakeholders.

Details

Benchmarking: An International Journal, vol. 28 no. 9
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 21 June 2022

Anchal Gupta, Rajesh Kumar Singh, K. Mathiyazhagan, Pradeep Kumar Suri and Yogesh K. Dwivedi

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

Abstract

Purpose

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

Design/methodology/approach

Service quality dimensions are identified from vast literature review. Customers who take services from LSPs were surveyed to collect data on basis of developed survey instrument. Structural Equation Modelling (SEM) is applied to test the proposed research hypotheses.

Findings

The study shows that all the five service quality constructs, i.e. “Operational Quality”, “Resource Quality”, “Information Quality”, “Personnel Contact Quality” and “Customization and Innovation Quality” have direct relationship with customer satisfaction. They also have indirect relationship with customer loyalty, implying the full mediation of customer satisfaction.

Practical implications

The results of the study suggest that the logistics service quality (LSQ) can be measured multi-dimensionally. It provides clear implications to LSPs for improvement of service quality. The present research work is expected to be useful for both, logistics service providers and the customer organizations, which take services from LSPs. LSPs can develop strategies to improve their service quality on basis of findings from this study.

Originality/value

The present research will help in extending the existing literature on service quality in context to LSPs.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 5 May 2020

Pradeep Kumar Tarei, Jitesh J. Thakkar and Barnali Nag

The purpose of this paper is to explore the relationship between various risk management strategies and risk management practices in order to design and hence enact a…

1331

Abstract

Purpose

The purpose of this paper is to explore the relationship between various risk management strategies and risk management practices in order to design and hence enact a suitable supply chain risk mitigation (RM) plan. Additionally, this study proposes a hierarchical framework to explain the mutual relationship between supply chain risk management (SCRM) practices and strategies by considering the underlying dimensions between them.

Design/methodology/approach

An amalgamation of systematic literature analysis (SLA) and correspondence analysis (CA) has been performed to develop the conceptual framework. A real-life case of Indian petroleum supply chain has been considered to validate and explain the proposed model.

Findings

The results reveal three underlying dimensions, which associate the relationship between RM strategies. They are, risk adaptability of SC managers with a variance of 34.71%, followed by resource capability of the firm and the degree of sophistication of RM practices, with variances of 27.72 and 20.35%, respectively. Risk avoidance strategy comprises of practices such as supplier evaluation, technology adaption, flexible process and information security. On the other extreme, the risk sharing strategy includes revenue sharing, insurance, collaboration, public–private partnership and so on as essential RM practices.

Research limitations/implications

The study not only focuses on the distinction between RM strategies and practices, which were used interchangeably in the prior literature, but also provides an association between the same by exploring the underlying dimensions. These underlying dimensions perform a crucial role while developing a risk management plan. This study explicitly focuses on the RM step of SCRM process. Pre and post risk mitigation phases of SCRM process, such as risk assessment and risk monitoring, are beyond the scope of the current research.

Originality/value

The paper develops a framework for mapping various RM strategies with their corresponding practices by considering the Indian petroleum supply chain as a viable case study. Various theoretical and business implications are derived in the context of the developing country.

Details

Benchmarking: An International Journal, vol. 27 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 3 July 2020

Pradeep Kumar Tarei, Jitesh J. Thakkar and Barnali Nag

The purpose of this paper is to develop a decision support system (DSS) to assist supply chain (SC) risk managers to select a suitable risk management (RM) strategy and…

Abstract

Purpose

The purpose of this paper is to develop a decision support system (DSS) to assist supply chain (SC) risk managers to select a suitable risk management (RM) strategy and expedite the implementation of corresponding RM enablers. The relationship between RM strategies and RM enablers is explored by identifying the underlying factors between them, which is further used to build the DSS.

Design/methodology/approach

The DSS is built by integrating heterogeneous techniques. A systematic review approach is employed to explore both proactive and reactive RM enablers, and they are further mapped to various RM strategies by using correspondence analysis (CA). An in-depth interview is conducted to develop the rules for constructing the decision system. A rule-based fuzzy inference system (FIS) is utilized to counteract the uncertainty involved in the decision variables. The efficacy of the proposed DSS is demonstrated by considering two conjectural scenarios in the case of Indian petroleum SC (IPSC).

Findings

The results reveal three primary underlying factors between the risk mitigation strategies viz. SC managers' preparedness to face risk, organization's resource capability to deal with risk and the sophistication of the implementation of the RM enablers; with explained variances of 37%, 29% and 22%, respectively. Risk avoidance strategy comprises of RM enablers such as supplier evaluation, technology adaption, information security, etc. Whereas, the risk-sharing strategy includes revenue sharing, insurance, collaboration, public-private-partnership, etc. as essential RM enablers. The DSS recommends risk-mitigation and risk-sharing as effective RM strategies for the IPSC under the considered scenarios.

Research limitations/implications

This paper develops a decision support framework for recommending an effective risk mitigation strategy and outranking the corresponding enablers. The study explicitly focuses on the risk mitigation step of the supply chain risk management (SCRM) process. Pre- and post-risk mitigation steps of the SCRM process, such as risk assessment and risk monitoring are beyond the scope of this research.

Originality/value

The operational procedure of the proposed DSS is explained by considering a real-life case of petroleum SC in the Indian scenario. The unique contributions of this study are presented as theoretical implications and managerial propositions in the context of a developing country.

Details

Journal of Manufacturing Technology Management, vol. 32 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 November 2021

Pradeep Kumar Tarei and Santosh Kumar

This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational…

Abstract

Purpose

This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.

Design/methodology/approach

An integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.

Findings

The results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).

Research limitations/implications

During this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.

Originality/value

The paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.

Details

Benchmarking: An International Journal, vol. 29 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 10 June 2019

Pradeep Kumar and Ajai Pratap Singh

The purpose of this paper is to present a systematic review of flexibility, to identify the gaps in theory and to propose a future research agenda.

Abstract

Purpose

The purpose of this paper is to present a systematic review of flexibility, to identify the gaps in theory and to propose a future research agenda.

Design/methodology/approach

This paper combines a systematic review and thematic analysis of scholarly articles of flexibility. The articles are analyzed to explicate the dynamics of flexibility in service operations. Thematic analysis was done using NVIVO 10.0 to identify key approaches, trends and future research agenda.

Findings

The review reveals ten different themes that highlight the future research avenues and points out that an integrative framework to assess the field of flexibility, particularly in developing countries, is largely missing in the literature. The study also provides a set of research questions to enhance its explanatory power.

Research limitations/implications

Articles that explicitly mention “flexibility” were only included, however, there may be several unexploited areas regarding the influence of different variables on flexibility. The study is based on the inductive analysis of 650 published articles on flexibility retrieved from the electronic database. The framework proposed in the study is conceptual and requires empirical testing in future research.

Originality/value

The study synthesizes the flexibility literature and contributes to a set of ten distinct themes that extricate the dynamics of flexibility. The study provides a comprehensive review of the relevant articles and identifies the theoretical gaps in the research area of service operations flexibility that can be used by academia and industry for promoting flexibility.

Details

Benchmarking: An International Journal, vol. 27 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 5 February 2018

Pradeep Kumar Tarei, Jitesh J. Thakkar and Barnali Nag

The purpose of this paper is to identify various risk and sub-risk drivers that affect the supply chain (SC) performance and to propose a framework to quantify the overall…

1301

Abstract

Purpose

The purpose of this paper is to identify various risk and sub-risk drivers that affect the supply chain (SC) performance and to propose a framework to quantify the overall SC risk index by considering the importance of each risk and sub-risk drivers and their mutual interactions.

Design/methodology/approach

A hybrid method based on decision-making trial and evaluation laboratory and analytical network process has been proposed to develop the risk quantification framework. A case study of Indian petroleum supply chain (PSC) has been illustrated to explain the proposed method.

Findings

The results of this study found that transportation/logistics (delivery system), quality of the petroleum products, crude supply, customer’s order and legal/political regulations are the most significant risk drivers of a typical PSC. It is also found that the Indian PSC possesses a risk score of 34 percent.

Research limitations/implications

The quantification of risk in operational measure provides an unblemished representation of the overall SC risk. Unlike the existing financial measure, it takes complex subjective operational effectiveness like product quality, customer satisfaction, etc., into consideration. Identifying the high-prioritized risks helps the decision and policy makers to merely focus on the most prominent risk drivers, and reduce the impact of overall SC risk. Planning a risk mitigation strategy at a given level of risk is however beyond the scope of this research.

Originality/value

The paper develops a risk quantification framework in the context of a PSC.

Details

Journal of Manufacturing Technology Management, vol. 29 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 13 July 2022

Virendra Kumar Verma, Sachin S. Kamble, L. Ganapathy and Pradeep Kumar Tarei

The purpose of this study is to identify, analyse and model the post-processing barriers of 3D-printed medical models (3DPMM) printed by fused deposition modelling to…

Abstract

Purpose

The purpose of this study is to identify, analyse and model the post-processing barriers of 3D-printed medical models (3DPMM) printed by fused deposition modelling to overcome these barriers for improved operational efficiency in the Indian context.

Design/methodology/approach

The methodology used interpretive structural modelling (ISM), cross-impact matrix multiplication applied to classification (MICMAC) analysis and decision-making trial and evaluation laboratory (DEMATEL) to understand the hierarchical and contextual relations among the barriers of the post-processing.

Findings

A total of 11 post-processing barriers were identified in this study using ISM, literature review and experts’ input. The MICMAC analysis identified support material removal, surface finishing, cleaning, inspection and issues with quality consistency as significant driving barriers for post-processing. MICMAC also identified linkage barriers as well as dependent barriers. The ISM digraph model was developed using a final reachability matrix, which would help practitioners specifically tackle post-processing barriers. Further, the DEMATEL method allows practitioners to emphasize the causal effects of post-processing barriers and guides them in overcoming these barriers.

Research limitations/implications

There may have been a few post-processing barriers that were overlooked by the Indian experts, which might have been important for other country’s perspective.

Practical implications

The presented ISM model and DEMATEL provide directions for operation managers in planning operational strategies for overcoming post-processing issues in the medical 3D-printing industry. Also, managers may formulate operational strategies based on the driving and dependence power of post-processing barriers as well as the causal effects relationships of the barriers.

Originality/value

This study contributes to identifying, analyzing and modelling the post-processing barriers of 3DPMM through a combined ISM and DEMATEL methodology, which has not yet been reviewed. This study also contributes to decision makers developing suitable strategies to overcome the post-processing barriers for improved operational efficiency.

Details

Rapid Prototyping Journal, vol. 29 no. 1
Type: Research Article
ISSN: 1355-2546

Keywords

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