SOCIAL MEDIA AND SUSTAINABLE BEHAVIOR: A DECISION MAKING FRAMEWORK USING INTERPRETIVE STRUCTURAL MODELING(ISM)

2021 ◽  
Vol 14 (8) ◽  
pp. 68-80
Author(s):  
Vijay Kumar Jain ◽  
Vikas Arya ◽  
Preeti Sharma
Keyword(s):  
Sustainable Consumption ◽  
Structural Modeling ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Green Consumption ◽  
High Resource ◽  
Use Of Resources ◽  
Product Choices ◽  
Consumption Activity ◽  
The Relationship

The growing population and consumer income have led to more consumption activity globally. The increased consumption requires further extraction of resources and pressure on existing resources. The damage effects are reflected in global warming, environmental pollution, and decreased flora fauna. In addition, human activities are perennially damaging the environment. High resource extraction and consumption activity require a more prudent use of resources and product choices. This study attempts to identify and prioritize the potential drivers for sustainable consumption through the Interpretive Structural Modeling (ISM) approach. ISM helps to obtain qualitative data instead of quantifiable factors resulting from modeling. Thirteen drivers of sustainable consumption were finalized after extensive literature review and expert’s consultation. Thirty respondents were sampled to collect data. The relationship between drivers was further established. Incentives, Labeling and Values Norms were the most important drivers of sustainable consumption. The study's findings would help policymakers to develop strategies to promote sustainable consumer practices among millennials. Adopting sustainable consumption would promote green consumption, improve the environment and save valuable resources.

Factors affecting strategic plan implementation using interpretive structural modeling (ISM)

2018 ◽  
Vol 31 (5) ◽  
pp. 406-414 ◽  
Author(s):  
Mohammadkarim Bahadori ◽  
Ehsan Teymourzadeh ◽  
Hamidreza Tajik ◽  
Ramin Ravangard ◽  
Mehdi Raadabadi ◽  
...  
Keyword(s):  
Strategic Planning ◽  
Planning Process ◽  
Strategic Plan ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Plan Implementation ◽  
Content Type ◽  
Factors Affecting ◽  
Strategic Planning Process ◽  
The Relationship

PurposeStrategic planning is the best tool for managers seeking an informed presence and participation in the market without surrendering to changes. Strategic planning enables managers to achieve their organizational goals and objectives. Hospital goals, such as improving service quality and increasing patient satisfaction cannot be achieved if agreed strategies are not implemented. The purpose of this paper is to investigate the factors affecting strategic plan implementation in one teaching hospital using interpretive structural modeling (ISM).Design/methodology/approachThe authors used a descriptive study involving experts and senior managers; 16 were selected as the study sample using a purposive sampling method. Data were collected using a questionnaire designed and prepared based on previous studies. Data were analyzed using ISM.FindingsFive main factors affected strategic plan implementation. Although all five variables and factors are top level, “senior manager awareness and participation in the strategic planning process” and “creating and maintaining team participation in the strategic planning process” had maximum drive power. “Organizational structure effects on the strategic planning process” and “Organizational culture effects on the strategic planning process” had maximum dependence power.Practical implicationsIdentifying factors affecting strategic plan implementation is a basis for healthcare quality improvement by analyzing the relationship among factors and overcoming the barriers.Originality/valueThe authors used ISM to analyze the relationship between factors affecting strategic plan implementation.

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.

Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM)

2015 ◽  
Vol 32 (3) ◽  
pp. 308-331 ◽  
Author(s):  
Prasanth S. Poduval ◽  
V. R. Pramod ◽  
Jagathy Raj V. P.
Keyword(s):  
Action Plan ◽  
Structural Modeling ◽  
Total Productive Maintenance ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Organization Management ◽  
Inhibiting Factors ◽  
Quality Of Products ◽  
The Relationship

Purpose – The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM. Design/methodology/approach – The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors. Findings – Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers. Practical implications – By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner. Originality/value – Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.

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.

scholarly journals Integration of Interpretive Structural Modeling with Fuzzy Bayesian Network for Risk Assessment of Tunnel Collapse

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Leping He ◽  
Tao Tang ◽  
Qijun Hu ◽  
Qijie Cai ◽  
Zhijun Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Analysis ◽  
Bayesian Network ◽  
Risk Model ◽  
Multicriteria Decision Making ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Construction Risk ◽  
Tunnel Collapse ◽  
The Relationship

Frequent collapse accidents in tunnels are associated with many construction risk factors, and the interrelationship among these risk factors is complex and ambiguous. This study’s aim is to clarify the relationship among risk factors to reduce the tunnel collapse risk. A multicriteria decision-making method is proposed by combining interpretive structural modeling (ISM) and fuzzy Bayesian network (FBN). ISM is used to determine the hierarchical relationships among risk factors. FBN quantitatively analyzes the strength of the interaction among risk factors and conducts risk analysis. The ISM-FBN method contains three steps: (1) drawing the ISM-directed graph; (2) obtaining the probability of the FBN nodes; and (3) using GeNle to implement risk analysis. The proposed method is also used to assess the collapse risk and detect the critical factors in the Canglongxia Tunnel, China. This method’s tunnel collapse risk model can provide managers with clear risk information and better realize project management.

Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty

2018 ◽  
Vol 118 (2) ◽  
pp. 432-462 ◽  
Author(s):  
Liang Wang ◽  
Li Ma ◽  
Kuo-Jui Wu ◽  
Anthony S.F. Chiu ◽  
Sarayut Nathaphan
Keyword(s):  
Theoretical Basis ◽  
Corporate Sustainability ◽  
Structural Modeling ◽  
Management Style ◽  
Bottom Line ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Construction Firms ◽  
Use Of Resources ◽  
Responsible Consumption

Purpose The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing the understanding of responsible consumption and production (RCP) in academic and industrial fields. Design/methodology/approach An integration of fuzzy set theory and ISM is proposed to maintain a higher level of consistency and reduce the uncertainty inherent in expert responses. Findings RCP can be categorized into seven levels, which represent the driving power from higher to lower. The top aspect is management style; the remaining aspects are stakeholder management, regulation compliance, efficiency improvement, sustainable awareness, sustainable production and social responsibility. Research limitations/implications This study attempts to integrate the triple bottom line (TBL) concept and corporate sustainability to develop a significant framework for evaluating RCP. Although the proposed aspects and criteria can be used to evaluate the Chinese construction industry, these may be insufficient for other industries. In addition, further discussion regarding important aspects and criteria is required to complete the theoretical basis. Practical implications The results indicate that the top two criteria are establishing transparent communication channels and promoting managerial attitudes and behavior, which are followed by technology capabilities, organizational culture and stakeholder engagement. These five criteria play important roles when implementing RCP practices among Chinese construction firms. Originality/value This study is the first to discuss RCP via an integration of the TBL concept and corporate sustainability. The framework developed herein provides a precise guideline for Chinese construction firms to improve their performance, and it also promotes the efficient use of resources via sustainable practices.

scholarly journals Presenting a model for evaluating the performance of financial accelerators of companies accepted on the Iranian Stock

2021 ◽  
Vol 9 (SPE1) ◽  
Author(s):  
Mojtaba Moradpour ◽  
Abbasali Poraghajan ◽  
Mohammadmehdi Abbasian Feredoni
Keyword(s):  
Mixed Method ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
The Relationship

This study was conducted using a mixed method (qualitative-quantitative) in which 21 variables of the model were extracted in the qualitative section and interviews were conducted with 19 experts and determining the relationship between variables to achieve the model in the quantitative part based on interpretive structural modeling (ISM).

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 of Cloud Computing Enablers Using MICMAC Analysis and TISM

2019 ◽  
pp. 876-888 ◽  
Author(s):  
Nitin Chawla ◽  
Deepak Kumar
Keyword(s):  
Cloud Computing ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Relationship Matrix ◽  
Interpretive Structural Modeling ◽  
Micmac Analysis ◽  
Business Efficiency ◽  
It Departments ◽  
Power And Dependence ◽  
The Relationship

This article describes how Cloud Computing is not just a buzzword but a shift from IT departments to the outsourcing vendors without impacting business efficiency. Some organizations are moving towards cloud computing but many have resistance to adopting cloud computing due to limitations in knowledge and awareness of the classifying elements, which effect decisions on the acceptance of cloud computing. Therefore, this article has focused on accumulating the elements, which can act as enablers, by reviewing existing literature and studies from both professional and academic viewpoints. All the identified enablers have been structurally modeled to develop the relationship matrix and establish the driving power and dependence power of every element. This is done by employing Total Interpretive Structural Modeling (TISM) and Cross Impact Matrix Multiplication Applied to Classification (MICMAC) analysis.

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