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Article
Publication date: 24 December 2020

Aswin Alora and Mukesh Kumar Barua

Supply chain disruptions can have severe negative consequences on companies. However, studies measuring the financial impacts of supply chain disruptions are largely…

Abstract

Purpose

Supply chain disruptions can have severe negative consequences on companies. However, studies measuring the financial impacts of supply chain disruptions are largely confined to developed nations and large companies. Therefore, this study aims to analyze the impact of supply chain disruption on small companies in the context of an emerging nation. Further, an attempt has been made to classify supply chain disruptions and measure its impact by its type.

Design/methodology/approach

In this research, the event study on 335 supply chain disruption events for a 10 year period starting from 2009 to 2019 has been used.

Findings

The results state that the Indian small and medium companies lost −4.49% of shareholder wealth in disruption. The findings also indicate that the financial and environmental disruptions can have severe effect on shareholder wealth as compared to other category.

Research limitations/implications

The study is confined to a developing country. Considering multiple countries can provide comparative results and therefore a global consensus could be achieved.

Practical implications

The outcomes of the results help managers to plan and prioritize supply chain disruptions, regulatory authorities can plug any possible insider trading practices for small companies in the event of supply chain disruptions. Investors can plan and take prudent investing decisions based on the nature of the disruptions.

Originality/value

To the best of the knowledge, this is the first study measuring the supply chain disruption effects on smaller companies in an emerging nation. The study is also novel in incorporating financial disruptions and measuring source wise impact on shareholder wealth.

Article
Publication date: 7 October 2021

Sourabh Kumar and Mukesh Kumar Barua

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We…

Abstract

Purpose

This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.

Design/methodology/approach

A fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.

Findings

The design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.

Practical implications

The managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.

Originality/value

This paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 6
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 26 August 2021

Sourabh Kumar and Mukesh Kumar Barua

Disruptive technologies can significantly contribute to the sustainability of operations in the petroleum supply chain. The present study aims to identify the prime…

Abstract

Purpose

Disruptive technologies can significantly contribute to the sustainability of operations in the petroleum supply chain. The present study aims to identify the prime sustainable dimensions and disruptive technologies implementation in the supply chain of the petroleum industry. The authors used content analysis in the literature and experts input to explore the sustainable dimensions and disruptive technologies in the supply chain.

Design/methodology/approach

This study used a hybrid method of hesitant fuzzy set and regret theory to identify the prominent sustainability dimensions and prominent disruptive technologies. This method emphasizes the decision-makers psychological characteristics under uncertain environments.

Findings

The result indicates that social responsibility, labor practices, safety and technical standards hold the most prominent sustainable dimensions in the petroleum supply chain. Further, the result also depicts that when consider an equal degree of regret and rejoice, artificial intelligence and big data could significantly enhance operations sustainability in the petroleum industry.

Research limitations/implications

This study considers only 11 sustainable dimensions and 43 sustainable factors, whereas other dimensions and factors could also be considered in future research. The research uses hesitant fussy set and regret set theory to identify the prominent sustainable dimensions and disruptive technologies, whereas other multiple-criteria decision-making (MCDM) techniques can also be used.

Originality/value

To the best of the authors’ knowledge, this is the first paper to explore the sustainable dimensions (environmental, social and economic) and disruptive technologies in the supply chain of the petroleum industry. This research intended to guide the practitioners, policymakers and academicians to emphasize their effort toward sustainable operations supply chain management.

Details

Benchmarking: An International Journal, vol. 29 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 3 April 2018

Mukesh Kumar, K.S. Sujit and Vincent Charles

The purpose of this paper is to propose the microeconomics concept of elasticity to estimate the SERVQUAL gap elasticity to derive important insights for service providers…

Abstract

Purpose

The purpose of this paper is to propose the microeconomics concept of elasticity to estimate the SERVQUAL gap elasticity to derive important insights for service providers to develop the right strategies to bridge the overall gap in service.

Design/methodology/approach

The dimensions of SERVQUAL adopted from Parasuraman et al. (1988) and Kumar et al. (2009) are first verified for their unidimensionality using structural equation modeling and reliability in the context of United Arab Emirates banking industry. Furthermore, the technique of dominance analysis is used to derive the relative importance of dimensions for different groups of banks. Finally, the stepwise log-linear regression models are used to estimate the gap elasticity to measure the responsiveness of the overall SERVQUAL gap to a change in customers’ perception on different dimension.

Findings

The results reveal that the dimension which is prioritized as the most important dimension need not to be the one to be targeted under the resource constraint to react faster to the changes of customers’ banking behavior.

Originality/value

This is probably the first attempt to examine the service quality through gap elasticity. This method is especially useful when the traditional approach to measure relative importance of critical factors fails to clearly discriminate between two or more dimensions, which, in turn, may lead to failure in decision making to choose the right strategies to bridge the overall gap in the service.

Details

International Journal of Quality & Reliability Management, vol. 35 no. 4
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 2 August 2022

Seema Rani and Mukesh Kumar

Community detection is a significant research field in the study of social networks and analysis because of its tremendous applicability in multiple domains such as…

Abstract

Purpose

Community detection is a significant research field in the study of social networks and analysis because of its tremendous applicability in multiple domains such as recommendation systems, link prediction and information diffusion. The majority of the present community detection methods considers either node information only or edge information only, but not both, which can result in loss of important information regarding network structures. In real-world social networks such as Facebook and Twitter, there are many heterogeneous aspects of the entities that connect them together such as different type of interactions occurring, which are difficult to study with the help of homogeneous network structures. The purpose of this study is to explore multilayer network design to capture these heterogeneous aspects by combining different modalities of interactions in single network.

Design/methodology/approach

In this work, multilayer network model is designed while taking into account node information as well as edge information. Existing community detection algorithms are applied on the designed multilayer network to find the densely connected nodes. Community scoring functions and partition comparison are used to further analyze the community structures. In addition to this, analytic hierarchical processing-technique for order preference by similarity to ideal solution (AHP-TOPSIS)-based framework is proposed for selection of an optimal community detection algorithm.

Findings

In the absence of reliable ground-truth communities, it becomes hard to perform evaluation of generated network communities. To overcome this problem, in this paper, various community scoring functions are computed and studied for different community detection methods.

Research limitations/implications

In this study, evaluation criteria are considered to be independent. The authors observed that the criteria used are having some interdependencies, which could not be captured by the AHP method. Therefore, in future, analytic network process may be explored to capture these interdependencies among the decision attributes.

Practical implications

Proposed ranking can be used to improve the search strategy of algorithms to decrease the search time of the best fitting one according to the case study. The suggested study ranks existing community detection algorithms to find the most appropriate one.

Social implications

Community detection is useful in many applications such as recommendation systems, health care, politics, economics, e-commerce, social media and communication network.

Originality/value

Ranking of the community detection algorithms is performed using community scoring functions as well as AHP-TOPSIS methods.

Details

International Journal of Web Information Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 6 August 2020

Mukesh Kumar, Joginder Singh, Sunil Kumar and Aakansha

The purpose of this paper is to design and analyze a robust numerical method for a coupled system of singularly perturbed parabolic delay partial differential equations (PDEs).

Abstract

Purpose

The purpose of this paper is to design and analyze a robust numerical method for a coupled system of singularly perturbed parabolic delay partial differential equations (PDEs).

Design/methodology/approach

Some a priori bounds on the regular and layer parts of the solution and their derivatives are derived. Based on these a priori bounds, appropriate layer adapted meshes of Shishkin and generalized Shishkin types are defined in the spatial direction. After that, the problem is discretized using an implicit Euler scheme on a uniform mesh in the time direction and the central difference scheme on layer adapted meshes of Shishkin and generalized Shishkin types in the spatial direction.

Findings

The method is proved to be robust convergent of almost second-order in space and first-order in time. Numerical results are presented to support the theoretical error bounds.

Originality/value

A coupled system of singularly perturbed parabolic delay PDEs is considered and some a priori bounds are derived. A numerical method is developed for the problem, where appropriate layer adapted Shishkin and generalized Shishkin meshes are considered. Error analysis of the method is given for both Shishkin and generalized Shishkin meshes.

Details

Engineering Computations, vol. 38 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 21 July 2022

Mukesh Kumar and Sukanta Das

This paper aims to suggest a parameter independent and simple speed estimator for primary field-oriented control of a promising electro-mechanical energy conversion device…

Abstract

Purpose

This paper aims to suggest a parameter independent and simple speed estimator for primary field-oriented control of a promising electro-mechanical energy conversion device in the form of brushless doubly-fed reluctance machine (BDFRM) drive.

Design/methodology/approach

The speed estimation algorithm, in this context, is formulated using a modified secondary winding active power (mPs)-based model reference adaptive system (MRAS). The performance of the proposed estimator is verified through computer aided MATLAB simulation study, compared with conventional active power-based MRAS and further supported with experimental validation using a 1.6 kW BDFRM prototype run by a dSPACE-1103 controller.

Findings

The formulation of mPs-MRAS is insensitive to any machine parameters and does not involve any integration/differentiation terms. Thus, any deviation therein does not hinder the performance of the mPs-MRAS-based speed estimator. The proposed speed estimator shows stable behavior for variable speed-constant load torque operation in all the four quadrants.

Originality/value

The formulation of mPs-MRAS is insensitive to any machine parameter and does not involve any integration/differentiation terms.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 3 June 2022

Mukesh Kumar Singh and Vikas Gupta

This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the…

Abstract

Purpose

This study aims to empirically analyze the significance of various knowledge management (KM) elements to the environment in a military organization and establish the efficacy of performance indicators of civil organizations for a military organization.

Design/methodology/approach

The research methodology includes the development of a research model based on a comprehensive literature review. A sample of 454 Indian Air Force Veterans was obtained and structural equation modeling (SEM) analysis using statistical package for the social sciences (SPSS) analysis of moment structures (AMOS) was conducted to test the hypotheses. The study first employed exploratory factor analysis (EFA) for redefining the theoretical constructs and then confirmatory factor analysis (CFA) to test the hypotheses.

Findings

The study empirically establishes the significance of various KM elements on the knowledge environment that creates, stores, transfers and applies knowledge to achieve military objectives. Findings indicate the complexity of KM in a military setup while applying the performance measures used in the civil organization.

Research limitations/implications

The study expects to expand the scope of the KM literature to the militaries of developing countries and provide a methodology to the leaders and practitioners in the military organizations, and to study the available KM practices, models and tools in the civil world.

Originality/value

To the best of the authors’ knowledge, the present research is one of the first to generate empirical insights into a knowledge environment in military organizations and test its relation with parameters used in civil organizations. The paper would significantly contribute to the underexplored area of KM in military organizations and infuse a theoretical rigor into the KM literature.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 9 January 2020

Mukesh Kumar, Chandan Parsad, Umesh Kumar Bamel, Sanjeev Prashar and Archana Parashar

This paper aims to report the results of an experiment undertaken to investigate the effect of country of origin (COO) in shielding the company’s image and retaining the…

Abstract

Purpose

This paper aims to report the results of an experiment undertaken to investigate the effect of country of origin (COO) in shielding the company’s image and retaining the trust and supportive behavioural intentions when it faces a crisis and the interactive effect of COO and the company’s pre-crisis reputation in shielding the company’s image.

Design/methodology/approach

A quasi-experimental study was undertaken to test the proposed hypotheses. Specifically, a two (pre-crisis reputation: low versus high) × two (country of origin: Indian versus Non-Indian) between-subjects factorial experimental design is configured and operationalized.

Findings

The results demonstrate that COO of a company fails to protect trust and supportive behaviour on its own, but, in the presence of a high pre-crisis reputation, it shields trust in the company more effectively. However, the interaction of COO and reputation does not induce supportive behaviour for the company during a crisis.

Originality/value

The findings of this research may help organizations to enhance trust/supportive behaviour toward their brand/company using attributes such as COO and pre-crisis reputation of the company.

Details

International Journal of Organizational Analysis, vol. 28 no. 4
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 6 November 2018

Chandrasekaran Padmavathy, Seonjeong (Ally) Lee, Murugan Pattusamy, Mukesh Kumar Dey and Murali Swapana

Mobile instant messaging (MIM) applications have grown profusely worldwide in recent years in tandem with increased smartphone usage. The purpose of this paper is to…

Abstract

Purpose

Mobile instant messaging (MIM) applications have grown profusely worldwide in recent years in tandem with increased smartphone usage. The purpose of this paper is to examine the relationships among perceived benefits, personality traits, MIM satisfaction, and social capital responses.

Design/methodology/approach

This paper uses partial least squares-SEM to investigate proposed hypotheses based on a sample of 1,519 WhatsApp users.

Findings

The results indicate that perceived benefits of MIM and personality traits have a positive influence on MIM satisfaction; and MIM satisfaction in turn has a positive effect on users’ social capital responses. MIM satisfaction partially mediates the relationships between perceived benefits, traits, and social capital. Additionally, the results indicate positive significant effect of Gen X and Y on social capital among other control variables.

Research limitations/implications

This study contributes to the growing body of knowledge on MIM. The results also provide important implications for MIM application developers and instigate future research in the MIM platform.

Originality/value

This study is the first attempt in integrating perceived benefits, personality traits, and social capital in MIM literature.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 30 no. 5
Type: Research Article
ISSN: 1355-5855

Keywords

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