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.

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.

A new model for knowledge management

2015 ◽  
Vol 31 (6) ◽  
pp. 42-44
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Knowledge Economy ◽  
Design Methodology ◽  
Reading Time ◽  
Market Forces ◽  
Content Type ◽  
New Model ◽  
Pertinent Information ◽  
Practical Implications

Purpose – This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach – This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings – We are, as we are constantly reminded, in a knowledge economy, and as such are liable to succumb to different market forces and variations than in previous paradigms. However if this is true, there is a central irony to our development of business activities in this area, in that there seems to be somewhat of a vacuum of knowledge about the knowledge economy. Practical implications – The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value – The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Modeling the enablers of sourcing risks faced by startups in COVID-19 era

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aswathy Sreenivasan ◽  
M. Suresh
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
The Other ◽  
Interpretive Structural Modeling ◽  
Demand And Supply ◽  
Content Type ◽  
Expert Opinions ◽  
Formidable Challenge ◽  
Supplier Risk ◽  
Practical Implications

Purpose Startups across all sectors are affected by the COVID-19 pandemic and are facing a formidable challenge in terms of marketing and operations. Most of the startups have experienced a downturn in demand and supply due to COVID-19 led disturbances in sourcing networks. This paper aims to identify, analyze and categorize the significant risks influencing sourcing operations in startups during the COVID-19 era in India, using the total interpretive structural modeling (TISM) approach. Design/methodology/approach Eight enablers were identified through literature review and expert opinions from various startups in India. This study adopted the TISM approach to analyze the inter-relationships between the enablers. Multiplication Applied to Classification (MICMAC) analysis was used to rank the sourcing risk enablers and classify them as autonomous, independent, linkage and dependent enablers. Findings The results indicate “insufficient fund” as the most critical enabler. Network issues and employee flexibility risk were among the other critical enablers that have a high driving power. Supplier risk, quality risk and demand risk were found to have highly dependent on other enablers for implementation. Research limitations/implications This study mainly focuses on the sourcing risks in startup operations in India. This study can be extended to many other countries. Practical implications This study will help startup industry managers and practitioners understand the interactions of enablers and identify critical enablers to mitigate risks in startup sourcing operations in the COVID-19 era. Originality/value The present study identifies the sourcing risk enablers in the COVID-19 era. It is the first attempt to analyze the interrelationship among sourcing risks in startups using the TISM approach.

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.

Identifying Industry 4.0 IoT enablers by integrated PCA-ISM-DEMATEL approach

2019 ◽  
Vol 57 (8) ◽  
pp. 1784-1817 ◽  
Author(s):  
Shubhangini Rajput ◽  
Surya Prakash Singh
Keyword(s):  
Industry 4.0 ◽  
Design Methodology ◽  
Principal Component ◽  
Integrated Approach ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Effective Implementation ◽  
Network Capability ◽  
First Time ◽  
Practical Implications

Purpose The purpose of this paper is to identify, analyze and model Internet of Things (IoT) enablers essential for the success of Industry 4.0. Design/methodology/approach IoT enablers for Industry 4.0 are identified from literature and inferable discussions with industry experts. Three different techniques namely, principal component analysis (PCA), interpretive structural modeling (ISM) and decision making trial and evaluation laboratory (DEMATEL) are applied to model IoT enablers. In addition to this, DEMATEL is also applied under two different situations representing the behavioral characteristic of experts involved. These are termed as optimistic (maximum) and pessimistic (minimum). Findings The integrated approach of PCA-ISM-DEMATEL shows that IoT ecosystem and IoT Big Data are the most influential or driving IoT enablers. These two enablers have been identified as the pillars for Industry 4.0. On the other side, IoT interchangeability, consumer IoT, IoT robustness and IoT interface and network capability have also been identified as the most dependent enablers for Industry 4.0. Practical implications The findings enable the industry practitioners to select the most appropriate driving enablers for an effective implementation of Industry 4.0. Originality/value The integrated approach-based hierarchical model and cause-effect relationship among IoT enablers are proposed which is a novel initiative for Industry 4.0. Moreover, two different variants of DEMATEL namely, pessimistic and optimistic are applied first time.

New fraud star theory and behavioural sciences

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vicente Humberto Monteverde
Keyword(s):  
Design Methodology ◽  
Social Implications ◽  
Social Implication ◽  
Content Type ◽  
Academic Field ◽  
New Model ◽  
Model Based ◽  
The Social ◽  
Behavioural Sciences ◽  
Practical Implications

Purpose The purpose of this paper is to establish the theory of the fraud star and the formulation of its microeconomic model, based on the behavioural sciences. Design/methodology/approach The methodology is a practical exploration, first in the convergence of the economics of fraud and the behavioural sciences, based on these tools, formulating the new theory of the star of fraud and formulating its microeconomic model. Findings The paper concludes with a new model of the fraud star theory and its microeconomic modelling. Take into account the new theory of the fraud star of this article. Research limitations/implications There are no limitations in the model. Practical implications The practical implications are to apply the new fraud star theory and calculate your income, in different scenarios. Social implications The social implication is to know the income for the crime of fraud, according to the level of regulations, control and effective punishment. Originality/value The present work is original; there is no new theory of the fraud star, nor its microeconomic model, and it does not exist in the academic field, only in this work.

Exploring the effects of workforce level on supply chain job satisfaction and industry commitment

2017 ◽  
Vol 28 (4) ◽  
pp. 1294-1318 ◽  
Author(s):  
Michael J. Maloni ◽  
Stacy M. Campbell ◽  
David M. Gligor ◽  
Christina R. Scherrer ◽  
Elizabeth M. Boyd
Keyword(s):  
Job Satisfaction ◽  
Supply Chain ◽  
Survey Data ◽  
Design Methodology ◽  
Structural Modeling ◽  
Value Drivers ◽  
Content Type ◽  
Practitioner Survey ◽  
Person Organization Fit ◽  
Practical Implications

Purpose Despite a pervasive workforce shortage, existing research has provided limited guidance about job satisfaction and commitment of the supply chain workforce. Moreover, few studies explore the effects of workforce level on such satisfaction and commitment. The paper aims to discuss this issue. Design/methodology/approach To address this gap, the authors apply person-organization fit theory to study the critical work value drivers of supply chain job satisfaction and industry commitment across workforce levels through structural modeling of practitioner survey data. Findings Job satisfaction and industry commitment are impacted differently across workforce levels, particularly for executives, suggesting the potential for conflicts in the workplace and that a “one size fits all” approach for recruitment and retention will be ineffective. Practical implications The results reveal how proactive organizations can not only hire and retain the best people but also help employees at different workforce levels understand one another’s motivations, empowering these organizations to become employers of choice. Originality/value This study is among the first empirical papers to directly address the labor shortage in supply chain. It also strikes new ground by assessing differences in work values across workforce levels.

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.

A new model for Islamic cooperative mortgage of housing finance

2019 ◽  
Vol 12 (4) ◽  
pp. 708-721
Author(s):  
Aslina Nasir ◽  
Lazim Abdullah
Keyword(s):  
Low Income ◽  
Design Methodology ◽  
Housing Finance ◽  
Initial Amount ◽  
Middle Income ◽  
Content Type ◽  
New Model ◽  
Home Mortgage ◽  
Practical Implications ◽  
Low And Middle Income

Purpose This study aims to propose a new model of Islamic cooperative mortgage of housing finance (ICOM) to provide a lower monthly initial amount with a longer tenure for the low- and middle-income members. This model is developed to ease the burden on borrowers concerning the high initial down payment (ID). Design/methodology/approach The ICOM model is a no-interest mortgage and is developed based on the cooperative home mortgage model by Ebrahim (2009). The model is verified using numerical examples to ensure its feasibility to produce lower monthly initial amounts and compared to the cooperative home mortgage. Findings From the numerical example, the ICOM model shows a lower monthly initial amount with a longer tenure compared to the cooperative home mortgage. The monthly payment is also lower than the cooperative home mortgage. Research limitations/implications The authors compare their model with Ebrahim’s (2009) cooperative home mortgage because of a constraint of limited previous studies on housing finance. Therefore, this model is developed by considering the unaffordability of the initial down payment among low-income borrowers. As this model introduces a lower monthly initial amount, the authors expect it can reduce the unaffordability problem of high initial down payment. Practical implications The authors also expect that a lower monthly initial amount with a longer tenure can ease the burden among the low-income borrowers by reducing their consumption on housing. Originality/value This paper provides a non-interest Islamic cooperative mortgage and lower monthly initial amount with a longer tenure for the low- and middle-income borrowers.

Inter-partner dynamics and joint venture competitiveness: a fuzzy TISM approach

2019 ◽  
Vol 26 (1) ◽  
pp. 97-116 ◽  
Author(s):  
Nisha Bamel ◽  
Sanjay Dhir ◽  
Sushil Sushil
Keyword(s):  
Design Methodology ◽  
Joint Venture ◽  
Outcome Variable ◽  
Strategic Flexibility ◽  
Collaborative Communication ◽  
Interpretive Structural Modeling ◽  
Policy Makers ◽  
Successive Pair ◽  
Content Type ◽  
Practical Implications

Purpose The purpose of this paper is to identify the inter-partner dynamics-based enablers of joint venture (JV) competitiveness. In addition, this paper models the interactions among identified enablers/factors to project the strength of their relationship with JV competitiveness. Design/methodology/approach ISM- and total interpretive structural modeling (TISM)-based fuzzy TISM approach has been used to examine the interactions and strength of interactions among identified enablers of JV competitiveness. Findings The analysis concludes that inter-partner dynamics-based enablers, such as partner fit, power symmetry and trust, have strong driving power and low dependence power and are at the lowest level of hierarchy in fuzzy TISM model. Variables like collaborative communication, organizational learning and absorptive capacity are linkage variables and they have high dependence as well as driving power and they lie in the second level of fuzzy TISM hierarchy. Strategic flexibility is found to have high dependence power and has weak driving power. The outcome variable JV competitiveness found to have zero driving power and highest dependence power. Practical implications The findings have implications for practitioners and policy makers. JVs may achieve competitiveness by managing identified enablers (inter-partner dynamics). Originality/value Present paper is one among the few efforts that address the issue of JV competitiveness (post-formation of JV). Methodologically also, this study is one among few initial efforts of using modified fuzzy TISM to explore and understand the linkage among enablers and outcome variables. Modified fuzzy TISM process carries out transitivity checks along with the successive pair-wise comparisons and simplifies the fuzzy TISM approach.

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