Competitiveness of Electronics manufacturing industry in India: an ISM–fuzzy MICMAC and AHP approach

2018 ◽  
Vol 22 (1) ◽  
pp. 88-116 ◽  
Author(s):  
Manoj Kumar Singh ◽  
Harish Kumar ◽  
M.P. Gupta ◽  
Jitendra Madaan
Keyword(s):  
Manufacturing Industry ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Electronics Manufacturing ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Industry Level ◽  
Fuzzy Micmac ◽  
The Government ◽  
Practical Implications

PurposeThe purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context. Design/methodology/approachThis study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI. FindingsThis study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power. Research limitations/implicationsThe study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies. Practical implicationsThe lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives. Originality/valueThis paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

Total Interpretive Structural Modeling (TISM): approach and application

2017 ◽  
Vol 14 (2) ◽  
pp. 162-181 ◽  
Author(s):  
J. Jena ◽  
Sumati Sidharth ◽  
Lakshman S. Thakur ◽  
Devendra Kumar Pathak ◽  
V.C. Pandey
Keyword(s):  
Design Methodology ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Mutual Dependence ◽  
Step Procedure ◽  
Power And Dependence ◽  
Practical Implications

Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

The aftermath of COVID-19 pandemic period: barriers in implementation of social distancing at workplace

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kashif Abbass ◽  
Abdul Aziz Khan Niazi ◽  
Tehmina Fiaz Qazi ◽  
Abdul Basit ◽  
Huaming Song
Keyword(s):  
Health Workers ◽  
Matrix Multiplication ◽  
Review Of Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Employees With Disabilities ◽  
Data Collection And Analysis ◽  
Research Findings ◽  
Practical Implications

PurposeThe study aims to investigate the barriers in implementing social distancing at the workplace as an aftermath of the COVID-19 pandemic period.Design/methodology/approachStudy design consists of a review of literature, data collection and analysis. It encompasses identification, verification and analysis of the relationships among the barriers. Data have been collected from a panel of experts on matrix-type questionnaires from workplaces. Interpretive structural modeling (ISM) augmented with “Matrice d' Impacts Croise's Multiplication Appliquée a UN Classement (Cross Impact Matrix Multiplication Applied to Classification)” (MICMAC) for structural analysis.FindingsThe literature has identified twenty major barriers to implementing social distancing at the workplace. The research findings reveal/show that the barrier “matter of disrespect” occupies the bottom level in the ISM model. Therefore, it is the most critical barrier; whereas, employees with disabilities and “herding culture” are crucial as they occupy the next lowest level, therefore, are crucial. Moreover, there are ten barriers positioned in the middle of the model having moderate-severe effects, and seven falls on the top level of the model having relatively less severe effects. Results of MICMAC affirm and avow the results of ISM.Research limitations/implicationsThe study will have profound theoretical and practical implications for stakeholders since it provides lot of new useful and valuable information, gives relational insights and determines priorities subject to usual limitations of survey research.Originality/valueIt is an original attempt to make some sense of practicability of social distancing for stakeholders including policymakers, frontline health workers and public at large.

Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis

2019 ◽  
Vol 36 (7) ◽  
pp. 1159-1180 ◽  
Author(s):  
Nishant Mukesh Agrawal
Keyword(s):  
Manufacturing Industry ◽  
Structural Modeling ◽  
Total Quality ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Practical Applications ◽  
Micmac Analysis ◽  
Significant Relationships ◽  
Quality Principles ◽  
Quality Framework

Purpose The purpose of this paper is to study the 14 principles of Edwards Deming and create significant relationships between them. No research has been reported on the implementation of Total Quality Management (TQM) using Deming’s 14 principles. To fill this gap, Interpretive Structural Modeling (ISM) and MICMAC analysis have been developed to understand mutual interactions among variables and find both the dependence and driving power of these variables. Design/methodology/approach The research paper discusses a blend of practical applications and introduces a theoretical framework. An ISM-based methodology is used to study and examine interactions between identified variables, while MICMAC analysis is used to identify the dependence and driving power. Findings This research utilizes Deming’s 14 quality principles, with experts from academia and industry consulted to identify contextual relationships among variables. The result shows that the stated principles “take action to accomplish the transformation,” “institute training,” “encourage education to employees” and “institute leadership” are strategic requirements, while “drive out fear,” “break down barrier between staff areas” and “eliminate numerical quotas” are tactical requirements. “Adopt the new philosophy,” “create constancy in improvement of product and service” and “cease dependence on mass inspections” are operational requirements for TQM applications. Originality/value An ISM-based quality framework, dependence power and driving power of variables using MICMAC analysis have been recommended to the service and manufacturing industry as a new focus area in the implementation of TQM.

Application of total interpretive structural modeling for analyzing factors of additive manufacturing and industry 4.0 integration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Ashok Wankhede ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Structural Model ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Influential Factors ◽  
Time Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration. Design/methodology/approach AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor. Findings The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively. Research limitations/implications In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies. Practical implications The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption. Originality/value The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.

Exploring and establishing the barriers to sustainable humanitarian supply chains using fuzzy interpretive structural modeling and fuzzy MICMAC analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haidar Abbas ◽  
Zainab Asim ◽  
Zuhaib Ahmed ◽  
Sanyo Moosa
Keyword(s):  
Structural Modeling ◽  
The Body ◽  
The Other ◽  
Performance Measurement System ◽  
Future Research ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Solutions ◽  
Practical Implications

Purpose The continual onset of natural and manmade disasters propels the humanitarian supply chain (HSC) efforts (by organizations, groups and individuals) to always be on a stand-by mode with more and more sustainable solutions. Despite all the sincere and coordinated efforts from all the humanitarian agents and bodies, the likely sustainable outputs are hampered by certain barriers (impediments) which exist at different levels of the HSCs. A better understanding of such barriers and their mutual relationship is deemed helpful in improving the outcomes of humanitarian efforts. Thus, the purpose of this paper is to explore, refine, establish and classify these barriers which thwart the sustainable efforts of the HSCs individually as well as collectively. Design/methodology/approach An extensive literature review is conducted to identify these barriers which were followed by soliciting the experts’ inputs to update, refine and retain the contextually relevant ones. The opinions about the nine identified and refined barriers are taken from eight experts based in the Northern India who are having at least five years of experience in humanitarian operations. Fuzzy interpretive structural modeling (FISM) is used to examine and establish a hierarchical relationship among these barriers, whereas fuzzy Matrice d’impacts croisés multiplication appliquée á un classment analysis is carried out to further classify these barriers into dependent, autonomous, linkage and dependent barriers. Findings The analysis led to the formation of a FISM model where the operational challenges affecting the performance occupy the topmost position in the hierarchy. The results reveal that inconsistent motives, coordination and communication and operational challenges affecting the performance are the dependent, poor strategic planning, capacity-related challenges and poor performance measurement system are the autonomous, and financial challenges, locational challenges and lack of proper awareness are the independent barriers. Research limitations/implications The focus of the researchers was to study and examine these barriers to sustainable HSCs with special reference to the epidemics and pandemics (especially COVID-19), and it sheds light particularly arising during and post disaster phases. Practical implications The structural model contributed by this study is expected to be meaningful for practitioners besides enriching the body of literature. In the context of pandemics, it distinguishes itself from the other available frameworks. Social implications As this research has been carried out in the context of the novel COVID-19, the framework is expected to assist policymakers in comprehending the issues impeding the sustainability of noble humanitarian efforts. Thus, ultimately it is expected to contribute to the ultimate cause of society at large. Originality/value This research endeavor distinguishes itself from the other accessible published resources in terms of the specific context, the methodological approach and the nature of respondents. This paper concludes with the practical implications and directions for future research.

Sustainable industry 4.0 – an exploratory study for uncovering the drivers for integration

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
N. Harikannan ◽  
S. Vinodh ◽  
Anand Gurumurthy
Keyword(s):  
Industry 4.0 ◽  
Structural Model ◽  
Public Awareness ◽  
Sustainable Manufacturing ◽  
Matrix Multiplication ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Societal Pressure ◽  
Practical Implications

Purpose The concept of sustainable manufacturing has been adopted by manufacturing organizations to develop eco-friendlier products and processes. In recent times, industries are progressing toward Industry 4.0 (I4.0). Guided with smart intelligent devices, I4.0 can possibly decrease excess production, material movement and consumption of energy. If so, it is hypothesized that there is a good synergy between I4.0 and sustainability, which warrants an integrated approach for implementation. This amalgamation is termed as “Sustainable industry 4.0.” Hence, this paper aims to systematically identify and analyze the drivers for this integration. Design/methodology/approach This paper presents the analysis of 20 drivers identified from literature review for simultaneous deployment of I4.0 and sustainable manufacturing. Interpretive structural modeling (ISM) is used to derive the structural model for analyzing the causal association between drivers. Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis is being performed to group the drivers. Findings The results showed that the dominant drivers derived are societal pressure and public awareness (D18), government policies on support I4.0 (D12), top management involvement and support (D15) and government promotions and regulations (D16). Also, the MICMAC analysis revealed many driving, dependent, linkage and autonomous drivers. Research limitations/implications The opinion from experts with combined expertise on I4.0 and sustainability was obtained. The respondent size could be increased in future studies. Practical implications The study has been done based on inputs from industry practitioners. Managerial and practical implications are presented. ISM shows that the drivers for deploying sustainable I4.0 are highly inter-related. It also reveals the pre-requisites for each level of the drivers. Originality/value The idea of analyzing the drivers for sustainable I4.0 is the original contribution of the authors.

An analysis of barriers for plastic recycling in the Indian plastic industry

2017 ◽  
Vol 24 (2) ◽  
pp. 415-430 ◽  
Author(s):  
Suchismita Satapathy
Keyword(s):  
Design Methodology ◽  
Structural Modeling ◽  
Plastic Waste ◽  
Recycling Process ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
New Model ◽  
Plastic Recycling ◽  
Plastic Industry ◽  
Practical Implications

Purpose The purpose of this paper is to develop a new model in which the interrelationship between the barriers can be determined that hinder the implementation of effective recycling processes in the plastic sectors of India. Design/methodology/approach Today manufacturers do not want their input to be deemed waste and subsequently be discarded, so their efforts and resources have been channeled into the development of efficient recycling methods. However, there are several barriers hindering the implementation of effective and efficient recycling. In this paper several of the most influential barriers are taken into consideration and implemented in the interpretive structural modeling. Findings The results divided the barriers into four clusters and identified the weak and strong barriers and implemented relationships between them. Research limitations/implications Globally plastic waste has been steadily increasing. Recycling plastic has received much attention because many companies are using it as a strategic tool to serve their customers and to generate good revenue, but there is a lack of effective recycling units in India. The work of this paper and its results will be helpful in the implementation of an effective and efficient recycling unit for the plastic sector. Practical implications The recycling process can be improved by avoiding barriers of PLASTIC recycling. Originality/value In this paper, the plastic industries of India are studied and analyzed, and the barriers are found.

Analysis of barriers to women entrepreneurship through ISM and MICMAC

2018 ◽  
Vol 12 (3) ◽  
pp. 346-373 ◽  
Author(s):  
Kumari Amrita Tripathi ◽  
Saumya Singh
Keyword(s):  
Small And Medium Enterprises ◽  
Matrix Multiplication ◽  
Negative Attitude ◽  
Causal Relationships ◽  
Female Entrepreneurship ◽  
Interpretive Structural Modeling ◽  
Indian Women ◽  
Content Type ◽  
The Government ◽  
Medium Enterprises

PurposeThis paper aims to study the impediments and difficulties that prevent Indian women from becoming entrepreneurs.Design/methodology/approachData were obtained through a survey involving 15 experts. Based on the feedback provided by the experts, ten relevant barriers in the context of Indian micro small and medium enterprises (MSMEs) were chosen. A structured questionnaire was used to gather data. These ten barriers create obstruction for Indian women as entrepreneurs. These barriers were ranked, and causal relationships among them established using interpretive structural modeling andMatrice d’Impacts croises-multiplication appliqúean classment(cross-impact matrix multiplication applied to classification) (ISM–MICMAC) approach.FindingsThis study identifies, on the basis of extant literature and experts’ opinion, ten barriers to female entrepreneurship. These barriers were ranked, and causal relationships among them established using the ISM–MICMAC approach. On the basis of ranking, women can move forward in MSMEs after removing these obstacles and it will have good results.Research limitations/implicationsIn this research, with literature reviews and experts opinion, ten barriers have been identified for women’s entrepreneurship and have been used to build the model.Practical implicationsTo bring Indian women forward in the field of entrepreneurship, both the society and the government should work together, and efforts should be made to overcome the obstacles coming in the way of entrepreneurs.Social implicationsFemale entrepreneurship in India faces many problems including negative attitude of authorities and society toward women. The society and authorities have no format or model for Indian women to move forward in the entrepreneurship sector.Originality/valueThis study seeks to identify, on the basis of a thorough review of literature and expert opinion, major barriers to female entrepreneurship in the context of Indian MSMEs.

The nexus between the increasing involvement of youth in betting games and unemployment: the Nigerian perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gbemi Oladipo Olaore ◽  
Bimbo Onaolapo Adejare ◽  
Ekpenyong Ekpenyong Udofia
Keyword(s):  
Structural Equation ◽  
Family Income ◽  
Equation Model ◽  
Content Type ◽  
Global Industry ◽  
Youth Involvement ◽  
Technology Advancement ◽  
Confirmatory Factor ◽  
The Government ◽  
Practical Implications

Purpose Betting games have become a global industry worth billions of dollars providing employment to millions and contributing to the gross domestic product (GDP) of several countries. While there are debates and controversies surrounding betting games discourse, a growing body of literature shows that it has been exacerbated by growing unemployment rates. This paper aims to examine the nexus between the increasing involvement of youth in betting games and unemployment from the Nigerian perspective. Design/methodology/approach The study adopts simple random and stratified sampling techniques to select participants for the study. Three hypotheses were tested for this study and confirmatory factor analysis (CFA) and structural equation model (SEM) was used to test the hypotheses. Findings The three hypotheses tested in this study were coined from previous literature. The study established a direct link between technology advancement, promises of winning big coupled with bonuses while unemployment was not significant to youth involvement in betting games. The study also showed that playing betting games provides another source of income to the youth, who are already engaged in one form of work or another. Finally, youth involvement in betting games has created awareness regarding different sports in the world, while contributing to Nigeria’s economy. Practical implications As betting games centre as a business in Nigeria has contributed substantially and positively to unemployment in Nigeria; the Government of Nigeria are encouraged to streamline and regulate the activities of the sector such that they can contribute significantly to the country GDP and provide employment opportunities to the youths. Originality/value The research shows that the reason why betting games have a massive turnaround of youths in Nigeria is not majorly because of unemployment but as another means to a substantial financial individual/family income. Thus, Nigerian youths see betting games as an avenue to make more money. The study is the first of its kind to examine the nexus between betting games, technology and unemployment hence, its contribution to knowledge.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

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