Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis

Dewangan, Devendra Kumar; Agrawal, Rajat; Sharma, Vinay

doi:10.1016/j.sbspro.2015.03.200

Cited by 96 publications

(48 citation statements)

References 66 publications

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“…It is evident from Table 3 that the technological factor is the most dominant factor responsible for nine drivers (D1, D2, D3, D4, D6.D9, D10, D11, and D12) of global manufacturing competitiveness. This is also in line with Dewangan et al (2015) who have identified" Technological Opportunities" as one of the enablers for achieving competitiveness of Indian manufacturing.…”

Section: Pest Analysissupporting

confidence: 85%

Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective

Deshmukh

Haleem

2020

JGBC

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COVID-19 pandemic has created a colossal disruption all over the globe, especially in Europe, the USA, China, India, and many developed economies. The production supply chains have been massively disturbed. It is estimated that a significant number of Fortune 1000 firms have been severely affected by the pandemic. Manufacturing companies operating in and through India are also affected by COVID-19. However, COVID-19 also offers an opportunity to revisit the competitiveness of Indian manufacturing. Traditionally, India's manufacturing growth has been based mostly on its domestic market. The disruptions due to COVID-19 are likely to offer new models of working and at the same time, opportunities to build capabilities and explore new international markets. The paper gives a perspective on Indian manufacturing involving various stakeholders such as industry associations, professional bodies, academic institutes, and industry to tackle the issue of enhancing manufacturing competitiveness. In a post-COVID-19, India will have to decide a mix of conventional manufacturing facilities, the automated special purpose, and industry 4.0. One perspective is to have an increased level of automation and implementation of Industry 4.0, with localized skills and global aspirations and another view is to have traditional manufacturing facilities that can ramp up its capabilities to satisfy increased demand of products. This paper presents a conceptual framework to assess Indian manufacturing.

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Section: Pest Analysissupporting

confidence: 85%

Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective

Deshmukh

Haleem

2020

JGBC

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“…ISM, as an appropriate analytical technique, is also helpful in identifying internal relationships between different variables. It can also be used in prioritising and analysing the effect of one factor on other factors (Attri et al., 2013; Dewangan et al., 2015). MICMAC analysis completes the interpretive-structural model by calculating the drive and dependent power of players (Dewangan et al., 2015).…”

Section: Methodsmentioning

confidence: 99%

Tears and smiles in the urban protests against local decisions: searching for footprint of power in urban management (Evidence from Tehran)

Moghaddam

Rafieian

2019

Heliyon

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To achieve plural power in the urban planning scene, two distinguished parties, including both official and unofficial, should be able to interact with each other. In the absence of participation in the planning and decision-making processes, protests are a way for unofficial parties to force the government to reconsider their plans. The present research investigates the chain of power in respond to urban protests by analysing two case studies from the City of Tehran. The main research question concerned how city authorities in Tehran responded to the citizens' demands by establishing whether, through powerful organisation of the city, people can change the governance trends of city authorities, or if their demands remain ignored or only slightly slowed down the execution of the plans. This study applied Interpretive Structural Modelling (ISM) for analysing relations between different players (Citizens, Government, Institutions, Guilds etc.) and illustrating the structure of power in both cases. The input data includes interviews and facts from published newspapers and after calculating data with ISM, MICMAC analysis employed to explain the drive power and dependence power of players. According to the results of interpretive structural modelling, citizens' demands in both cases had only a marginal effect on the governance trends of city authorities. The results also showed that citizens were on the bottom of the power hierarchy to see their demands met.

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“…Moreover this technique can also be implemented on multiple risk factors there by finding relationship among them. Also as an improvement to the current work we could even use ISM and fuzzy MICMAC technique [8]. Fuzzy logic deals with imprecision and the data available regarding floods and similar other natural disasters are imprecise in nature.…”

Section: Conclusion and Future Scopementioning

confidence: 99%

Identification and Prioritization of Flood Conditioning Factors using ISM and MICMAC Technique

2019

IJITEE

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Floods can be considered as one of the most devastating natural hazard in developing and developed countries around the world. Apart from physical damage and financial loss, floods results in tremendous loss of human lives. Current risk assessment methods are not efficacious due to lack of analysis of the flood causing factors. There are enormous factors causing flood. The paper aims to apply a structural modeling technique for flood conditioning factors identification and prioritization by establishing a relation among them. The paper presents a framework for various flood conditioning factors. The framework uses Interpretive Structural Modeling (ISM) for modeling. Further matrice d’impacts croises-multiplication appliequé à un classement (MICMAC) [17] method is applied to recognize both direct and indirect relationship between factors and access the most prioritized flood conditioning factor. Their relationship among the factors is established, which would help in effective risk mitigation management

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Enablers for Competitiveness of Indian Manufacturing Sector: An ISM-Fuzzy MICMAC Analysis

Cited by 96 publications

References 66 publications

Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective

Framework for Manufacturing in Post-COVID-19 World Order: An Indian Perspective

Tears and smiles in the urban protests against local decisions: searching for footprint of power in urban management (Evidence from Tehran)

Identification and Prioritization of Flood Conditioning Factors using ISM and MICMAC Technique

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