Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach

Katiyar, Rajesh; Barua, Mukesh Kumar; Meena, Purushottam L.

doi:10.1177/0972150917713283

Cited by 39 publications

(31 citation statements)

References 52 publications

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“…The process of SC performance management provides the control to manage the complexity of SC ensuring the objectives are achieved and SC is well managed. ISM has been used by researchers [38,73,58] to study the interaction between the variables and barriers for the SC performance management. [29] used ISM to explore how lean, green and resilient practices influence on SC performance…”

Section: B Sc Performance Managementmentioning

confidence: 99%

Interpretive Structural Modelling (ISM) Methodology and its application in Supply Chain Research

Wankhade*¹,

Kundu²

2020

IJITEE

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The horizon of the supply chain (SC) in the business in increasing continuously and becoming complex with its expanding role, which is result of technological advancement, ever increasing customer expectation, regulatory compliances and changing business models. Researchers used various methods to understand SC complexity and decipher the factors impacting the SC processes and concepts. Interpretive Structural Modelling (ISM) is one of the methods which is widely used in literature to transforms complex and abstract business phenomenon or vaguely defined business processes into clearly articulated, visual, structured models. This method includes interactive technique which helps to structure and build the comprehensive systematic model for set of different but related elements. The objective of this paper is to review the literature on ISM as methodology for understanding the complexity of SC challenges, issues, barriers and enablers of various processes or functions and their classifications based on SC processes using a structured approach. This study further elaborates the process for modelling structure and presented ISM as a modelling approach by elaborating steps and important features. Discussion and managerial implications of using and extending ISM in SC are provided to conclude the review.

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Section: B Sc Performance Managementmentioning

confidence: 99%

Interpretive Structural Modelling (ISM) Methodology and its application in Supply Chain Research

Wankhade*¹,

Kundu²

2020

IJITEE

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“…ISM is used in the various areas of SC such as supplier selection processes (Kumar et al, 2015;Dalvi and Kant, 2018;Thakkar et al, 2007;Mandal and Deshmukh, 1994), SC performance management (Katiyar et al, 2017;Shinbin et al, 2017;Charan et al, 2008), SC collaboration (Ramesh et al, 2008;Singh et al, 2016), SC agility (Sharma and Bhat, 2014;Shokrzadeh and Mirtaghizadeh, 2017;Agarwal et al, 2007), SC risk management (Chaudhuri et al, 2016), humanitarian SC (Vashisht and Ahamad, 2012;Yadav and Barve, 2015), green SC Shibin et al, 2016) and sustainability in SC (Movahedipour et al, 2017;Kumar and Rahman, 2017). Considering the wide acceptance and suitability of methodology we have used the ISM to analyse and model the enablers of SC agility and further used the MICMAC process to explore the driving power, dependence to analyse the driver power and the dependence power of these enablers.…”

Section: Interpretive Structural Modellingmentioning

confidence: 99%

“…In order to create required capabilities in the SC, top management commitment (TMC) is must. There are many studies which support the TMC requirement for successful implementation of various SC practices (Gorane and Kant, 2013;Malviya and Kant, 2017;Ramesh et al, 2008), role of TMC in competency development (Hitt et al, 2015), achieving sustainable SC performance (Shinbin et al, 2017;Zhu and Sarkis, 2004;Katiyar et al, 2017) and bringing innovation is SC (Chen and Popovich, 2003). TMC also moderates the relationship between SC visibility and SC agility (Dubey et al, 2018).…”

Section: Top Management Commitmentmentioning

confidence: 99%

Modelling the enablers to explore the driving power, dependence and strategic importance in achieving SC agility

Wankhade

Kundu

2020

IJVCM

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The environment in which supply chain (SC) operate keeps changing and so does the SC, making uncertainty as it's trait. SC agility is the key attribute which defines the capability to respond efficiently and effectively to such changes in order to achieve desired performance and achieve sustainable source of competitive advantage. The purpose of this study is to identify the enablers to achieve agility in automotive aftermarket SC and further modelling these enablers to understand their driving power, dependence and strategic importance. In phased approach, this article defines the various attributes of the automotive aftermarket SC which impacts its agility based on literature review and expert interviews and establishes interaction among the variables. Interpretive structural modelling (ISM) is used to present a hierarchy-based model and the mutual relationships among these enablers. ISM is supported with MICMAC analysis to determine the driving and dependence power among variables. Based on the results from the model of ISM, this paper also proposes the conceptual model and poses hypothesis for achieving SC agility and its impact on SC performance. In concluding remarks, paper provides commentary on the managerial implications, limitation of the current study along with future research directions.

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“…Despite the existence of the numerous approaches and models for SC PM, there remain many challenges to overcome. These include huge amounts of data to be analysed for evaluation, lack of alignment between tactic, strategic and operational measures, lack of defined of metrics, the absence of a balanced approach (Katiyar et al, 2017;Bai and Sarkis, 2012;Adel El-Baz, 2011;Bhagwat and Sharma, 2007;Akyuz and Erkan, 2010). Overall, these difficulties in developing standards for PM can be traced to various measurement taxonomies: which management level to measure; tangible versus intangible measures; variations in collection and reporting; organizations' location along the SC; and functional differentiation within organizations (Hervani et al, 2005).…”

Section: Supply Chain Performance Measurementmentioning

confidence: 99%

Measurement challenges of supply chain performance in complex shipping environments

Panayides

Borch

Henk

2018

MABR

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Purpose Logistics service performance measurement (PM) is a fundamental activity pertaining to the achievement of logistics goals and the improvement of services. The choice of logistics PM criteria depends on stakeholder goals and expectations, including logistics service providers, customers and government and regulatory institutions. PM is especially challenging in areas where high values are at stake, several actors are involved and uncertainty about cause-and-effect relations is high. This paper aims to examine the measurement of performance in offshore oil and gas logistics, which has unique characteristics such as a supply chain (SC) exposed to a harsh environment, the presence of several independent carriers and a highly specialised and costly set of vessels involved in long-distance transport legs. Design/methodology/approach The study is designed as a multiple case study of two Norwegian shipping companies and two international oil and gas companies. Data were collected from several parts of the offshore service SC in several Arctic oil and gas fields. Findings This paper sheds light on the performance of the SC and presents key performance indicators for logistics operations. It concludes that the measurement of SC performance must be context-specific and emphasis needs to be placed on the degree of uncertainty and inter-dependency related to the SC in question. Originality/value The study suggests a list of context-specific key performance indicators for offshore logistics with a special emphasis on the peculiarities of a harsh operational environment.

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Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach

Cited by 39 publications

References 52 publications

Interpretive Structural Modelling (ISM) Methodology and its application in Supply Chain Research

Interpretive Structural Modelling (ISM) Methodology and its application in Supply Chain Research

Modelling the enablers to explore the driving power, dependence and strategic importance in achieving SC agility

Measurement challenges of supply chain performance in complex shipping environments

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