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.

Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS)

2019 ◽  
Vol 26 (2) ◽  
pp. 498-529 ◽  
Author(s):  
Rahul Sindhwani ◽  
Varinder Kumar Mittal ◽  
Punj Lata Singh ◽  
Ankur Aggarwal ◽  
Nishant Gautam
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Top Managers ◽  
Discrete Manner ◽  
Practical Implications

Purpose Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis. Design/methodology/approach This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts. Findings An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power. Research limitations/implications The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry. Practical implications The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers. Originality/value A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

Expert cues: how expert reviewers are perceived online

2020 ◽  
Vol 30 (4/5) ◽  
pp. 531-556 ◽  
Author(s):  
Anna Naujoks ◽  
Martin Benkenstein
Keyword(s):  
Design Methodology ◽  
Online Reviews ◽  
The Other ◽  
Future Research ◽  
Review Author ◽  
Content Type ◽  
Source Expertise ◽  
Different Types ◽  
Practical Implications

PurposeThe purpose of this paper is to explore different types of source expertise and how they influence perceived message quality. Consumers face the challenge to identify valuable online reviews. Source expertise as a signal of message quality can be displayed differently, depending on website layout, operator and review author.Design/methodology/approachTwo scenario-based experiments were conducted questioning 135 and 275 participants. They investigate the effect of different types of expert reviewers on perceived message quality and also examine the interplay of source expertise and source trustworthiness.FindingsThe findings reveal that the different types of expert reviewers differ in perceived expertise and their impact on perceived message quality. Claims of expertise induce the highest perceived expertise compared to the other expert types and non-experts, but are perceived as less trustworthy.Research limitations/implicationsFuture research should examine the influence of the expert types across different product and service categories and could also include moderating influences that reflect how consumers process expert cues differently.Practical implicationsCues that signal high expertise and high trustworthiness are likely to deliver the most valuable online reviews. This should be incorporated in the website's layout to help consumers find valuable information.Originality/valueThe approach of this research is novel in that it undertakes comparisons between three types of expert cues and non-experts. It also addresses the interplay of source expertise and trustworthiness and examines the effect on message quality.

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.

Understanding determinants of social networking service fatigue: an interpretive structural modeling approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lin Xiao ◽  
Ting Pan ◽  
Jian Mou ◽  
Lihua Huang
Keyword(s):  
Social Networking ◽  
Impression Management ◽  
Structural Model ◽  
Structural Modeling ◽  
Extensive Literature ◽  
Privacy Concern ◽  
Social Networking Service ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Factors Influencing

PurposeThe purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.Design/methodology/approachA total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.FindingsThe results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.Originality/valueThis study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.

Analysis of the barriers in implementing environmental management system by interpretive structural modeling approach

2017 ◽  
Vol 40 (12) ◽  
pp. 1316-1335 ◽  
Author(s):  
Fan Yang ◽  
Xiongfei Zhang
Keyword(s):  
Environmental Management ◽  
Management System ◽  
Panel Discussion ◽  
Structural Modeling ◽  
Environmental Management System ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Textile And Apparel ◽  
Apparel Companies

Purpose This paper aims to identify the most influential barriers for environmental management system (EMS) adoption and determine the interactions of these factors in the context of Chinese textile and apparel industries. Design/methodology/approach The study has conducted two different research phases, namely, the identification of 13 barriers from the extensive literature available and expert panel discussion and using interpretive structural modeling (ISM) to investigate the complex relationships among these barriers and partition the barriers into a hierarchical structure to facilitate strategic analysis. Findings The obtained result demonstrates that insufficient information about customer’s demand is the most influential barrier. Furthermore, by analyzing the interrelationships among the barriers, management will become more aware of the barriers’ relative importance and focus on the barriers with stronger influence. Originality/value This work may help practitioners, academicians and regulators to focus their efforts toward implementation of EMS on various levels in business, especially for these textile and apparel companies operating in China.

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.

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.

Back to the future: historical nostalgia and the potentials for Islamic marketing research

2018 ◽  
Vol 9 (3) ◽  
pp. 673-682 ◽  
Author(s):  
Noha M. El-Bassiouny ◽  
Nada Zahran
Keyword(s):  
Marketing Research ◽  
Future Research ◽  
Extensive Literature ◽  
Islamic Philosophy ◽  
Content Type ◽  
Islamic History ◽  
Life And Death ◽  
History Of ◽  
Future Research Directions ◽  
Practical Implications

Purpose The purpose of this paper is to draw Islamic marketing researchers’ attention to the potentials that historical nostalgia has for Islamic marketing research. Design/methodology/approach The paper is conceptual in its approach, drawing on extensive literature review on the origins of nostalgia in general and historical nostalgia in specific. The paper also draws on the Holy Qur’an and Islamic marketing research. Findings The paper shows that the Islamic philosophy for life and death establishes continuity between the history of the believers in the mundane life and their accountability and, hence, prosperity in the transcendent afterlife (the hereafter). This has connotations for Islamic marketing research. Future research directions are, therefore, stipulated. Research limitations/implications The research has implications for Islamic marketing research that draws on Islamic history and civilization. Practical implications The research has practical implications toward Islamic marketing researchers who draw on Islamic history, culture and civilization in designing marketing appeals. Originality/value The paper is the first to draw attention to the potential overlap between historical nostalgia, and therefore nostalgia proneness and Islamic marketing research domains.

Modeling lean manufacturing success

2018 ◽  
Vol 13 (4) ◽  
pp. 908-931 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi ◽  
Dalila Benedita Machado Martins Fontes ◽  
Ng Tan Ching
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Human Resources Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

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.

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