Analysing the synergic power of inhibitors of an Indian telecom supply chain

Pramod, V.R.; Banwet, D.K.

doi:10.1504/ijbex.2013.054721

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…ISM has been used by researchers to analyze industrial issues. Pramod and Banwet (2013) analyze the dynamics between various lean implementation challenges. ISM has been used by Kumar and Kant (2013) to understand enablers of supplier selection.…”

Section: Proposed Research Methodologymentioning

confidence: 99%

“…Each step is relevant and related to the previous step and cannot be bypassed. The authors have used their experience and also referred to various papers on ISM (Pramod and Banwet, 2013;Attri et al, 2012 and2013a, b;Malone, 1975;Janes, 1988;George, 1980, etc. ) to list out each step articulately and as specific as possible to help researchers to easily understand ISM:…”

Section: Steps In Ismmentioning

confidence: 99%

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Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

Poduval¹,

Pramod²,

Raj

2015

International Journal of Quality &Amp; Reliability Management

113

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Purpose – The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM. Design/methodology/approach – The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors. Findings – Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers. Practical implications – By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner. Originality/value – Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.

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Section: Proposed Research Methodologymentioning

confidence: 99%

Section: Steps In Ismmentioning

confidence: 99%

Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

Poduval¹,

Pramod²,

Raj

2015

International Journal of Quality &Amp; Reliability Management

113

View full text Add to dashboard Cite

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“…We followed well-established guidelines for conducting ISM (Poduval et al, 2015;Pramod & Banwet, 2013;Attri et al, 2012;Sushil, 2012). In ISM, each stage is related to the previous stage and cannot be omitted.…”

Section: Interpretive Structural Modelingmentioning

confidence: 99%

The Corruption Formation Process in Iranian Football

Mansouri

Boroujerdi

Dickson

et al. 2022

Physical Culture and Sport. Studies and Research

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This study investigates the corruption formation process in Iranian football. Data was collected using library studies as well as 18 in-depth and semi-structured interviews with football industry stakeholders. The research data were analyzed through the coding process in three stages: open, pivotal and selective. Grounded Theory was used to determine the initial list of corruption causes. Then, interpretive structural modeling and MICMAC analysis were utilized. Having analyzed the data, the researchers classified the variables into four different levels, and after MICMAC analysis, we divided the variables into two groups of independent and dependent variables. None of the variables were included in the group of autonomous and linkage variables. The results showed that at the highest level, corrupt governance of football (including weak football federation statutes, government control of football, and weak governance in football) was the most influential factor. At the third level, the key factor was structural dysfunction which was underpinned by both weak management and supervision in football. At the second level, defective agreements and monitoring (consisting of weak rules and regulations and inefficient national and club contracts) was significant. At the first level, financial dysfunction (including money laundering and economic and financial factors), bias and opportunism (by journalists and agents), and corruption of human resources (comprising coercion and nurturing corrupt forces) were influential. The findings showed that the managerial level has a major role in preventing corruption.

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FISM for analysing the interrelationships between customer receptivity aspects

Pramod¹,

Banwet

2014

IJBEX

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Analysing the synergic power of inhibitors of an Indian telecom supply chain

Cited by 5 publications

References 31 publications

Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

The Corruption Formation Process in Iranian Football

FISM for analysing the interrelationships between customer receptivity aspects

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