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Article
Publication date: 13 March 2017

Avinash Panwar, Bimal Nepal, Rakesh Jain, Ajay P.S. Rathore and Andrew Lyons

The purpose of this paper is to investigate the impact of lean practices on performance improvement of process industries in India.

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Abstract

Purpose

The purpose of this paper is to investigate the impact of lean practices on performance improvement of process industries in India.

Design/methodology/approach

Based on a survey of Indian process industries, this paper proposes two sets of hypothesis to examine if there is any statistically significant impact of lean practices on certain specific performance metrics. First, the sample is classified into two classes of process industries: the adopters of lean and those who have not yet adopted the lean practices in their manufacturing operations. Then statistical tests are conducted to measure the differences in the level of performance between the two classes of Indian process industries with respect to nine performance measures. The survey results are augmented by two in-depth case studies. Case studies include one from lean adopter firms (a refinery) and another from the firms that have not yet adopted the lean practices (a primary metal manufacturing unit).

Findings

A survey result of 121 Indian process industries shows that adoption of lean practices results in a positive impact on inventory control, waste elimination, cost reduction, productivity, and quality improvement in process industries. On the other hand, based on the sample data on Indian process industries, no statistically significant improvement could be found on the lot size or space utilization between lean adopters and their counterparts.

Practical implications

This research provides guidance to the managers on how adoption of lean practices results in better performance in process industries in several operational areas.

Originality/value

To the knowledge, this study is the first attempt to analyze the impact of lean practices on a set of specific performance metrics in Indian process industry. Although this study focuses on the Indian process industry, the authors believe that findings of the research can inform other practitioners and researchers who are considering implementing lean in process industry sector in other developing countries like India.

Details

Industrial Management & Data Systems, vol. 117 no. 2
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 3 August 2021

Pratima Verma, Vimal Kumar, Ankesh Mittal, Bhawana Rathore, Ajay Jha and Muhammad Sabbir Rahman

This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis…

1080

Abstract

Purpose

This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success.

Design/methodology/approach

A fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria.

Findings

The effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority.

Research limitations/implications

The outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance.

Originality/value

Big data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE.

Details

The TQM Journal, vol. 35 no. 1
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 14 August 2017

Surya Prakash, Gunjan Soni and Ajay Pal Singh Rathore

The purpose of this paper is to assist a manufacturing firm in designing the closed-loop supply chain network under risks that are affecting its supply quality and logistics…

792

Abstract

Purpose

The purpose of this paper is to assist a manufacturing firm in designing the closed-loop supply chain network under risks that are affecting its supply quality and logistics operations. The modeling approach adopted aims at the embedding supply chain risks in a closed-loop supply chain (CLSC) network design process and suggests optimal supply chain configuration and risk mitigation strategies.

Design/methodology/approach

The method proposes a closed-loop supply chain network and identifies the network parameter and variables required for closing the loop. Mixed-integer-linear-programming-based mathematical modeling approach is used to formulate the research problem. The solutions and test results are obtained from CPLEX solver.

Findings

The outcomes of the proposed model were demonstrated through a case study conducted in an Indian hospital furniture manufacturing firm. The modern supply chain is mapped to make it closed loop, and potential risks in its supply chain are identified. The supply chain network of the firm is redesigned through embedding risk in the modeling process. It was found that companies can be in great profit if they follow closed-loop practices and simultaneously keep a check on risks as well. The cost of making the supply chain risk averse was found to be insignificant.

Practical implications

Although the study was conducted in a practical case situation, the obtained results are not indiscriminate to the other circumstances. However, the approach followed and proposed methodology can be applied to many industries once a firm decides to redesign its supply chain for closing its loop or model under risks.

Originality/value

By using the identified CLSC parameters and applying the proposed network design methodology, a firm can design/redesign their supply chain network to counter the risk and accordingly come up with planned mitigation strategies to achieve a certain degree of robustness.

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Article
Publication date: 20 July 2023

Bharti Ramtiyal, Paras Garg, Shubha Johari, Ajay Pal Singh Rathore and Abhilash Thakrey

Sustainable manufacturing practices are excessively being practised in the industry today. The impact on sustainability is ever more visible to the stakeholders because of faster…

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Abstract

Purpose

Sustainable manufacturing practices are excessively being practised in the industry today. The impact on sustainability is ever more visible to the stakeholders because of faster and more efficient communication due to social media and the internet. This paper aims to study the impact of greenwashing by corporations and the stakeholders’ environmental concerns on consumers’ sustainable purchase behaviour.

Design/methodology/approach

The relationships between the impression of “greenwash”, sustainable purchasing behaviour, green word-of-mouth and green brand loyalty were investigated in this quantitative study. Participants who made up a representative sample filled out written surveys. The variables of interest were evaluated using scales that have undergone validation. Structural equation modelling was used in mediation analysis to investigate the mediating impacts of green word-of-mouth and green brand loyalty. The goal of the study was to offer empirical proof of how these factors affected consumers’ choices for sustainable products.

Findings

Analysis of the mediating relationship of perceived customer effectiveness in the relationship between environmental concern and sustainable purchase behaviour has been studied.

Research limitations/implications

This study implicates that a company that primarily markets basic green and sustainable products or services must invest in informing people about environmental concerns and that by proper practices, a lot of the harm to the environment can be reduced.

Originality/value

Corporate greenwashing, also called false greening, has received much public attention recently. The unethical practices by the corporations, which previously majorly went unnoticed, have also recently gained a lot of visibility. This paper is one of the early attempts towards establishing the effect of corporate greenwashing on sustainable consumer behaviour.

Details

Journal of Global Operations and Strategic Sourcing, vol. 17 no. 1
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 29 July 2020

Riju Jakhar, Deepak Verma, Ajay Pal Singh Rathore and Divesh Kumar

Visual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This study…

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Abstract

Purpose

Visual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This study blends fuzzy numbers and Analytical Hierarchy Process to create a fuzzy evaluation model prioritizing the relative weights of visual merchandising dimensions of online fashion apparel store. This study will help the fashion retailers in creating more engaging and informative online stores leading to subsequent increase in online retail sales.

Design/methodology/approach

Visual merchandising dimensions and sub dimensions used by retailers for online stores were identified through review of literature and discussion with experts. Twenty experts were interviewed and their responses captured. The responses were analyzed using Fuzzy AHP technique resulting in prioritizing the dimensions according to the weight. For testing the stability of the results, sensitivity analysis was conducted.

Findings

Four key dimensions and sixteen sub dimensions were extracted. Weights were calculated using FAHP. “Pictorial Presentation” has the highest weight followed closely by “Product Information” dimension. Amongst the sub-dimensions “Number of Product Images” scored highest followed by “Product Presentation mode”. “Alterable Background” scored the least weight.

Originality/value

Previous studies have identified Online Visual Merchandising dimensions and have also studied the impact of some of these dimensions on consumer buying behavior, but the relative significance has not been determined yet. This study fills the gap.

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Article
Publication date: 2 June 2023

Devesh Kumar, Gunjan Soni, Yigit Kazancoglu and Ajay Pal Singh Rathore

This research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants.

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Abstract

Purpose

This research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants.

Design/methodology/approach

This research surveys while contributing to the academic grasp of supply chain reliability (SCR) concepts. The study found 45 peer-reviewed publications using a structured survey technique with a four-step filtering process. The filtering process includes data reduction processes such as an evaluation of abstract and conclusion. The filtered study focuses on SCR and its determinants.

Findings

One of the major findings is that most of the study has focused on mathematical and conceptual studies. Also, this study provides the answer to a question like how can reliability be better accepted and evolved within the SC after finding the determinants of SCR.

Originality/value

The observed methodological gap in understanding and development of SCR was identified and classified into three categories: mathematical, conceptual and empirical studies (case studies and survey’s mainly). This research will aid academics in developing and understanding the determinants of SCR.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 9
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 6 February 2017

Surya Prakash, Gunjan Soni and Ajay Pal Singh Rathore

The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM…

3389

Abstract

Purpose

The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM literature seems to require studies that utilize risk typology, sources of risk, etc. for reviewing the topic. The purpose of this paper is to bridge the gap by synthesizing the information obtained from 343 articles across 85 journals. This study also presents a critical analysis of the content of SCRM in a structured manner to identify the directions for future research.

Design/methodology/approach

A systematic literature review (SLR) was devised and adopted, which involved the selection, classification, and evaluation of 343 research articles published over a period of 11 years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of the risk management process (RMP).

Findings

The analysis of extant literature shows that there is a marked rise in research in the SCRM area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain (SC) operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that the manufacturing sector is most affected by risks and highly investigated by researchers.

Practical implications

A complete process for SCRM based on risk stratification, objectives of risk management, and RMP will be a guiding model for firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools, and techniques to address the risks in modern SC operations.

Originality/value

An SLR and risk-based content classification of SCRM literature were performed. To identify, locate, select, and analyze the SCRM literature, a structured and systematic process was adopted with some very rarely used methods such as two levels of search keywords, and strings were formulated to locate the most relevant articles in major academic databases.

Details

Journal of Advances in Management Research, vol. 14 no. 1
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 6 February 2017

Surya Prakash, Gunjan Soni, Ajay Pal Singh Rathore and Shubhender Singh

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies…

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Abstract

Purpose

The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies. It is achieved by understanding the dynamics between various risks in perishable food supply chain and modeling them using interpretive structural modeling (ISM).

Design/methodology/approach

Four categories and 17 types of risk are established from literature and conducting brainstorming sessions with managers/engineers in Indian dairy firms. A methodology is proposed using ISM, risk priority number and risk mitigation number to prioritize risk mitigation strategy decisions for the dairy industry.

Findings

For a perishable food supply chain, risk positioned at lower levels (levels 1 or 2) in the hierarchy should be targeted first, while formulating mitigation strategies. To investigate further, risk- enabling factors which are identified for an Indian dairy firm for these levels 1 and 2 risks and mitigation strategy prioritization show that supplier side risks are more dominant followed by market risks and process risks.

Research limitations/implications

This proposed methodology has not been statistically validated or empirically tested, and factors taken are in the Indian context, but the authors believe that the study is highly relevant to other markets as well because the ISM-based analysis is for generic perishable food supply chain environment.

Practical implications

This study provides a useful approach to managers/decision makers to identify, analyze and prioritize risk in the supply chain. It also provides insights into the mutual relationships of supply chain risks which would help them to focus on the effective risk mitigation strategies formulation. The study provides the insights to benchmark and risk management in the dairy industry environment with priority considerations.

Originality/value

This paper provides an integrated approach to identifying, quantify, analyze, evaluate and mitigate the risks of perishable food (in the dairy environment) in the Indian context.

Details

Benchmarking: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 July 2024

Purnima Singh and Ajai Pal Sharma

In the course of worldwide COVID-19, the phenomenon of corporate social responsibility (CSR) gained more importance and publicity. Many organizations made a significant…

795

Abstract

Purpose

In the course of worldwide COVID-19, the phenomenon of corporate social responsibility (CSR) gained more importance and publicity. Many organizations made a significant contribution in dealing with the crisis situation and even increased their spending on the welfare activities. This study aims to evaluate the attitude of community, especially young generation, towards the CSR undertaken by the organization during the pandemic period.

Design/methodology/approach

Descriptive research design has been employed using purposive sampling for data collection through a structured questionnaire. A sample of 550 was taken, and pilot survey was conducted among 100 respondents before administering it at full scale. A model has been proposed and tested by using structural equation modelling in AMOS.

Findings

The results of the study show that compulsory provisions of CSR have enhanced the trust of community and made the organizations more responsive towards philanthropic, legal, ethical and economic responsibility. The respondents were found to be aware about the welfare activities carried out by the organizations and developed a positive attitude towards them.

Research limitations/implications

First, the study is limited to examining the attitude of community towards CSR, especially young generation. Second, it is difficult to say whether outcomes of this study can be generalized for such other potential global crisis. Third, the study is based on the Carroll’s “CSR Pyramid” framework when other such frameworks and approaches could be available to analyse the impact of COVID-19-related CSR initiatives. Last, this study has been conducted only in the state of Maharashtra, and results may not be applicable to other states as well other countries.

Practical implications

The findings of the study may help the organizations to plan their activities in line with the amendments made time to time. This shall also help the regulating agencies to monitor and catch the wrongdoers and take appropriate action. Findings of such studies, based on public opinion, can also help the governments to make further amendments, time to time, in related acts. It can also be said that with the involvement of public/society, more transparency can be brought in the functioning of the organizations, especially in the context of CSR.

Social implications

Earlier, most of the organizations were falsely recording the CSR expenditure in their balance sheets without actually spending it, but the amendment in act has made it compulsory for the organizations to follow it honestly. The pandemic period gave an opportunity to the society to evaluate the organizations on these parameters and to make their opinion about them in real time. Therefore, it is concluded that pandemic has created awareness in the society and significantly influenced their attitude about CSR activities. This shall also help the organizations feel a pressure in future while planning and implementing the activities under CSR.

Originality/value

The results of the study show contribution of the corporate towards social welfare during pandemic. The results would help the policymakers to monitor the execution of practices more closely and organizations to execute their strategies in a more effective manner.

Details

IIMT Journal of Management, vol. 1 no. 2
Type: Research Article
ISSN: 2976-7261

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Article
Publication date: 29 February 2008

Rakesh Jain, Om Prakash Yadav and Ajay Pal Singh Rathore

The purpose of this paper is to examine the propagation of benchmarking concepts among Indian manufacturing companies after liberalization of Indian economy.

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Abstract

Purpose

The purpose of this paper is to examine the propagation of benchmarking concepts among Indian manufacturing companies after liberalization of Indian economy.

Design/methodology/approach

To determine the propagation of benchmarking concepts in the Indian manufacturing sector, first, a postal survey was conducted on 500 Indian manufacturing companies. Only 97 companies participated in the survey. Subsequently, interviews with 20 managers of six manufacturing companies were undertaken.

Findings

Research showed that benchmarking in Indian manufacturing sector is still in the nascent stage, but there is a positive attitude towards adoption of benchmarking concepts. The industry sectors, which typically show above average levels of benchmarking activity, are motor vehicle, electric and electronic industries. By contrast, it is the process sectors, which record the lowest incidences of benchmarking. Identification of suitable benchmarking partner was considered to be the most important problem among Indian manufacturing companies.

Research limitations/implications

A limitation of research is the number of respondents, which precludes the generalization of findings.

Practical implications

The study can help managers of manufacturing companies understand the problems and inhibitors to successful benchmarking.

Originality/value

The paper provides an attempt to find out propagation of benchmarking concepts in Indian context. The paper should be of interest to those researching or managing in the Indian manufacturing sector. This is one of the first studies on dissemination of benchmarking in developing countries and should encourage further research in these countries.

Details

Benchmarking: An International Journal, vol. 15 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

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