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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.

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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

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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

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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

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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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Article
Publication date: 7 November 2016

Ekaterina Yatskovskaya, Jagjit Singh Srai and Mukesh Kumar

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local…

Abstract

Purpose

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.

Design/methodology/approach

The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.

Findings

Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.

Research limitations/implications

The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.

Practical implications

For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.

Originality/value

A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.

Details

Journal of Advances in Management Research, vol. 13 no. 3
Type: Research Article
ISSN: 0972-7981

Keywords

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Article
Publication date: 3 January 2017

Rashid Mehmood, Royston Meriton, Gary Graham, Patrick Hennelly and Mukesh Kumar

The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is…

Abstract

Purpose

The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model.

Design/methodology/approach

A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services.

Findings

This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers.

Research limitations/implications

The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities.

Practical implications

The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO2 footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013).

Social implications

The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system.

Originality/value

Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

Details

International Journal of Operations & Production Management, vol. 37 no. 1
Type: Research Article
ISSN: 0144-3577

Keywords

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Article
Publication date: 3 June 2020

Ravinder Singh, Akshay Katyal, Mukesh Kumar, Kirti Singh and Deepak Bhola

Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In…

Abstract

Purpose

Sonar sensor-based mobile robot mapping is an efficient and low cost technique for the application such as localization, autonomous navigation, SLAM and path planning. In multi-robots system, numbers of sonar sensors are used and the sound waves from sonar are interacting with the sound wave of other sonar causes wave interference. Because of wave interference, the generated sonar grid maps get distorted which resulted in decreasing the reliability of mobile robot’s navigation in the generated grid maps. This research study focus in removing the effect of wave interfaces in the sonar mapping to achieve robust navigation of mobile robot.

Design/methodology/approach

The wrong perception (occupancy grid map) of the environment due to cross talk/wave interference is eliminated by randomized the triggering time of sonar by varying the delay/sleep time of each sonar sensor. A software-based approach randomized triggering technique (RTT) is design in laboratory virtual instrument engineering workbench (LabVIEW) that randomized the triggering time of the sonar sensor to eliminate the effect of wave interference/cross talk when multiple sonar are placed in face-forward directions.

Findings

To check the reliability of the RTT technique, various real-world experiments are perform and it is experimentally obtained that 64.8% improvement in terms of probabilities in the generated occupancy grid map has been attained when compared with the conventional approaches.

Originality/value

This proposed RTT technique maybe implementing for SLAM, reliable autonomous navigation, optimal path planning, efficient robotics vision, consistent multi-robotic system, etc.

Details

World Journal of Engineering, vol. 17 no. 4
Type: Research Article
ISSN: 1708-5284

Keywords

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Article
Publication date: 2 July 2018

Himanshu Gupta and Mukesh Kumar Barua

Innovation is a prerequisite for economic and technological growth of any organization. Identifying enablers of innovation can help managers accelerate the process of…

Abstract

Purpose

Innovation is a prerequisite for economic and technological growth of any organization. Identifying enablers of innovation can help managers accelerate the process of economic growth. The purpose of this paper is to identify the prominent enablers of innovation in small and medium enterprises (SMEs) that can help overhauling organizations and benefit them economically.

Design/methodology/approach

A comprehensive literature review and expert’s opinions have been applied to identify enablers of innovation. A case of automotive component supplier is considered for conducting the research. A coalescence of Grey and DEMATEL methodologies has been incorporated to first rank the enablers of innovation based on their importance and then identify the causal relationship among these enablers by characterizing enablers into causal and effect groups.

Findings

A few important enablers, namely, entrepreneur traits, knowledge management, resources for innovation, and linkage capabilities, have been identified as prominent enablers for successful innovation in SMEs.

Practical implications

This paper identifies enablers of innovation in SMEs and the causal relationship between these enablers. The identified enablers and the causal relationship between these enablers will help managers of small organizations in selecting the enablers that need to be focused on, which, in turn, can drive other enablers of innovation, thus saving time and resources of the organizations.

Originality/value

This paper uses a novel Grey–DEMATEL methodology to identify the causal relationship among enablers and also contributes to the literature on innovation by identifying enablers of innovation in SMEs.

Details

Benchmarking: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 3 February 2021

Roman Schumacher, Rob Glew, Naoum Tsolakis and Mukesh Kumar

The purpose of this paper is to investigate strategies to manage product recalls where shortages are a critical threat, with impacts such as loss of life. The authors aim…

Abstract

Purpose

The purpose of this paper is to investigate strategies to manage product recalls where shortages are a critical threat, with impacts such as loss of life. The authors aim to identify key supply chain strategies and opportunities for theoretical advancement by taking a resilience perspective on temporary supply chain design.

Design/methodology/approach

First, the authors conducted an impact event analysis of product recalls by exploring the RAPEX database and official statements of individual country regulators. Second, the authors conducted an exploratory case study with the Cambridge University Hospitals on Personal Protective Equipment to explore product recall risks, utilising an action research methodology.

Findings

Additional processes, mainly testing, can compensate for the risks that may arise from temporary supply chains, where changes in location and product design are not possible due to the immediate nature of demand caused by COVID-19 pandemic. This finding reflects on the resilience of designing and implementing temporary supply chains from the perspective of product, process and location.

Research limitations/implications

This paper does not employ an in-depth multiple case study methodology. However, the authors argue that the role of institutional actors in global supply chains and its implications on product safety needs to be empirically studied in order to expand existing supply chain management theories to cover resilience in emerging, mature and temporary supply chain.

Practical implications

Managers can learn from the Cambridge University Hospitals case study that a downstream quality inspection system can be deployed to manage product quality and safety risks where recalls are not an option, such as during critical situations in the COVID-19 pandemic.

Social implications

The authors’ observations suggest that governments may be socially responsible for implementing rigorous mechanisms to manage product recall risks that compromise consumer safety.

Originality/value

The authors’ study is uniquely designed and studies various specific phenomena of product recalls risks in COVID-19. The unique design features include a dynamic and recent database analysis involving a product, process and location centric perspective complemented with a Cambridge University Hospitals case study.

Details

Continuity & Resilience Review, vol. 3 no. 1
Type: Research Article
ISSN: 2516-7502

Keywords

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