Interpretive Structural Modeling Analysis Research Articles

Exploring the complex interplay of barriers confronting women entrepreneurs: an interpretive structural modelling analysis

Exploring the complex interplay of barriers confronting women entrepreneurs: an interpretive structural modelling analysis

Exploring the complex interplay of barriers confronting women entrepreneurs: an interpretive structural modelling analysis

Exploring the complex interplay of barriers confronting women entrepreneurs: an interpretive structural modelling analysis

World Cultural Heritage Designated Impacts in Jatiluwih Agritourism, Bali, Indonesia

Purpose: This research examined the economic and socio-cultural impacts on the villages of Jatiluwih in Bali after the listing of subak as World Cultural Heritage. In addition, this study also aims to identify the constraints encountered by the Operations Management and establish management programs in managing Jatiluwih Tourist Attraction as part of World Cultural Heritage. Theoretical framework: Tourism, as a product, cannot be exported but imports the consumers to consume the product in the exporting country. Therefore, tourism cannot exist in separation from the host community. When planning for tourism, local regional and national governments should be aware of the pressures on the physical and social environment caused by the inflow of tourists. Host communities also need to be aware that tourism is likely to cause a wide range of impacts. Design/methodology/approach: This study used qualitative methods supported by quantitative data through Interpretive Structural Modeling (ISM) analysis. Data collection techniques used were observation, interviews, document studies, and focus group discussion. Findings: This study contributes a concise analysis of the various impacts, due to the growth of tourism, on the local community living within the World Cultural Heritage, such as increased in income, changes in personal relationships, modernization of agriculture, and the readiness of the society to move into social organizations. Increasing the number of tourism jobs while simultaneously maintaining World Cultural Heritage properties were significant challenges faced by Operations Management of Jatiluwih Tourist Attraction. Research, Practical & Social implications: By analyzing tourism impacts around the World Cultural Heritage, one could realize the benefits acquired by the local community. Originality/value: This research examines the constraints encountered by World Cultural Heritage site based on tourism impacts by applying Interpretive Structural Modeling analysis.

Establishing the root causes of unsafe behaviors among construction workers: an integrative interpretive structural modeling analysis

There has been a significant decline in worker productivity at construction sites globally owing to the increase in accidents and fatalities due to unsafe behavior among workers. Although many studies have explored the incidence of unsafe behaviors among construction workers, limited studies have attempted to evaluate the causal factors and to determine the root causes. An integrative interpretive structural modeling analysis of the interrelationships that exist between these causal factors established from relevant literature was conducted in this study to determine the root factors hence bridging this gap. Fifteen causal factors were identified through literature review, and the nature of interrelationships between them was determined using interpretive structural modeling (ISM) and a Cross-impact matrix multiplication applied to classification (MICMAC) analysis. Data was obtained from a purposively selected cohort of experts using semi-structured interviews. The emergent data was subsequently analyzed using the ISM and MICMAC analysis to ascertain the interrelationships between the causal factors. The results of the study showed that age, sleep quality, degree of interaction and workers’ skillsets were the root causes of unsafe behavior among construction workers. Besides engendering the establishment of the root causes of unsafe behavior among construction workers, the results of this study will facilitate the prioritization of appropriate solutions for tackling the menace.

An Expanded Interpretive Structural Modeling Analysis of the Barriers to Integrated Flood Risk Management Adaptation in Metro Manila

The implementation of integrated flood risk management (IFRM) is still in its infancy in both developed and developing countries, yet some countries have already encountered barriers to IFRM adaptation. The interrelationships between these barriers need to be determined and analyzed systematically, as such an analysis is the groundwork for decision-making when devising solutions to overcome the barriers. Interpretive Structural Modeling (ISM) is a popular and systematic method for analyzing the interrelationship between variables in broad study areas. This study applies the proposed expanded ISM (Ex-ISM) approach to comprehensively analyze the interrelationships between the barriers to IFRM in Metro Manila. Ex-ISM enhances conventional ISM in that the symbolism is modified to explicitly show the contextual interrelationships, the step for hierarchy assignment is simplified, and the diagram shows all of the interrelationships that allow a comprehensive analysis. The results obtained using the Ex-ISM method do not deviate from those yielded by the conventional ISM method, but the Ex-ISM method allows an easy assignment of hierarchy, and it shows not only the direct but also the indirect interrelationships to provide a comprehensive analysis of the relationships between the barriers.

Analysing the Antecedents of Entrepreneurial Bootstrapping and Bricolage: A Modified Total Interpretive Structural Modelling and MICMAC Approach

This article seeks to systematically identify and model antecedents of entrepreneurial bootstrapping and bricolage to determine and interpret the relationships and hierarchy between them. Entrepreneurial bootstrapping and bricolage are key dynamic capabilities that help entrepreneurs access, accumulate and enhance resources to adapt to scarce business environments. The article employs a modified total interpretive structural modelling analysis to determine hierarchical inter-relationships between the antecedents and a Matrice d’ Impacts Croises Multiplication Applique An Classment analysis to understand their driving and dependence powers. The results highlight that founder characteristics and human capital are placed at the lower levels, making them critical driving elements of the model along with environmental hostility and resource constraints. Entrepreneurial orientation, slack, external financial capital and entrepreneurial frugality are dependent variables, with social capital as a linkage variable. This study will guide entrepreneurs trying to implement resourcefulness behaviours to respond to the coronavirus disease-2019 crisis by prioritising driving antecedents to impact the dependent factors further.

Analysis of Obstacles in Implementing The Finished Banknotes Business Model (A Case Study on Banknotes Printing in Indonesia)

The company changes its business model to respond to changes in its business environment. In the banknotes printing industry in Indonesia, the business model used to date is Perum Peruri as a banknote printing service provider, while Bank Indonesia is both a consumer and a banknote paper provider. Bank Indonesia has planned to change the banknotes printing business model from printing services to finished banknotes or end-to-end processes. This study aimed to analyze the constraints while implementing the finished banknotes business model by Perum Peruri. Nine obstacles were identified based on the literature researched and discussions with five experts from the banknotes printing industry, Bank Indonesia as a consumer and regulator, the Ministry of State-Owned Enterprises, and the Indonesian Printing Security Association. Interpretive structural modeling analysis is used to measure the strength of the relationship between constraints, develop hierarchical levels, classify and rank each of these constraints. It was found that limited working capital, dependence on supplies of banknotes from abroad, the complexity of procuring banknotes, and barriers to accessing banking, were the main obstacles. The solution is that Perum Peruri must improve its capabilities and get support from Bank Indonesia and the Ministry of SOEs.

Sustainability Factors Affecting the Implementation of Design for Dis-Assembly and Re-Manufacturing Principles in the Automobile Sector Using ISM

With the automobile sector pacing the tracks among their competitors to lead the market and adopting eco-friendly technologies, a much economic and vital field of making use of the manufactured product beyond its useful life span is widely neglected. This paper throws light on the necessity for implementing and highlights the various reasons for which these guidelines have not come to the attention of the responsible organizations including law making agencies, automobile manufacturers and as well the consumers. An interpretive structural modelling analysis is made to point out ten driving factors in consultation with various experts from the relevant fields and the results provide guidance to how far the idea of design for dis-assembly and re-manufacturing has sought the world for the sustainability of the automobile manufacturers in the industry, for the days to come.

How Corporate Social Responsibility and External Stakeholder Concerns Affect Green Supply Chain Cooperation among Manufacturers: An Interpretive Structural Modeling Analysis

The past decade saw an increasing development and improvement of green supply chain, but the environmental performances cannot be achieved by single enterprises. Therefore, it is necessary to find out the influencing factors that hinder the cooperation of green supply chain, so as to make full use of these influencing factors to improve environmental performance. In consultation with supply chain management practitioners and academics, this paper establishes a set of 19 influencing factors for green supply chain cooperation among Chinese manufacturers The corporate social responsibility as internal effect and external stakeholder concern as external effect is considered in this study and the interpreted structural model (ISM) method is used to analyze the interaction among these influencing factors and its impact on green supply chain cooperation. This study aims to identify the most significant impacts on environmental issues with supply chain partners and to understand how these impacts can help improve the environmental performance throughout the supply chain.

The effects of supply chain collaboration on green innovation performance:An interpretive structural modeling analysis

In previous research, interrelationships between green innovation and supply chain collaboration (SCC) are under-explored. This study explores the effects of SCC on green innovation performance and considers supply chain collaborative drivers as a crucial part of green innovation strategy. We construct a conceptual model containing a set of 17 drivers on the implementation of green innovation and analyze the contextual relationships between these drivers using an interpretive structural modeling (ISM) method to identify the driving and dependence powers in green innovation within the context of SCC. The model is validated on a case study involving an automobile firm in southwestern China. The study reveals that the relationships between supply chain partners have a very high influence on green innovation performance. SCC should be deemed as a core component in green innovation strategies. In addition, environmental regulations, top management commitment and social recognition are among high driving and dependence powers. We have confirmed the significance of SCC enablers for green innovation and identified several specific attributes through research. To further improve the value of this study, theoretical and managerial implications are discussed.

Institutional strengthening as an anticipatory measure for dengue virus transmission to reduce the incidence of dengue fever

This paper aimed to prove whether it is necessary to support institutional strengthening to reduce dengue fever cases. This study used the Interpretative Structural Modeling Analysis (ISM) model, which was used to analyze complex matters of a system through patterns designed using graphics. This analysis model was conducted through the stages, namely (1) compiling a structural interaction matrix, (2) collecting a reachability matrix table, (3) compiling a power-dependent matrix driver, and (4) composing a structural model of each sub-element. The result showed that 2 out of 10 sub-elements had DP value equal to 1.00, which were the growth of sectoral-centric attitudes and weak inter-institutional commitment. While among institutions, there were three of 11 institutions that play a crucial role in reducing DHF, namely the Office of Health, Community health centers, and hospitals (DP=1.00). It can be concluded that strengthening the institutional system can help in reducing cases of dengue hemorrhagic fever (DHF).

Institutional development of coconut agribusiness in North Sulawesi Province

The purpose of this study is to identify the conditions and institutional role of coconut agribusiness in North Sulawesi; formulate a strategy model for institutional development of coconut agribusiness in North Sulawesi Province. The study was conducted in the highest coconut producing area in North Sulawesi with qualitative methods supported by quantitative data through the use of Structural Conduct Performance (SCP) analysis and Interpretative Structural Modeling analysis. The technique for determining informants is purposive sampling. The grand theory in this research is institutional theory and agribusiness theory. The coconut agribusiness institution in North Sulawesi identified several types that play a role, namely: farmer groups, transportation businesses, universities, banks, cooperatives, field extension workers (ppl), collectors, middlemen, industries, wholesalers and village regulations. Strategies and programs for developing coconut agribusiness institutions in North Sulawesi that refer to the role of tertiary institutions as key sub-elements of the institutional elements involved: a. Training for farmers and institutions involved in coconut agribusiness; b. Provision of experts in running a coconut agribusiness business unit; c. Assistance in each coconut agribusiness business unit.

Making the case for institutional support on designing agroforestry technology models for rehabilitating critical lands

Land and forest management practices in developing countries have resulted in millions of hectares of degraded lands. This is caused by policy implementation unable to synergize between conservation-ecological goals, and the economic needs of farmer households. This study aims to showcase a model for bringing together economic and ecological interests more closely in line with one another. Furthermore, the study also presents an institutional structure of a program that could help to establish agroforestry-based land rehabilitation policies. The research employed includes a combination of Farming Income Analysis and Interpretative Structural Modeling Analysis. The results show that farming income, when employing agroforestry technology is higher than non-agroforestry approaches. Furthermore, agroforestry technology supports critical land rehabilitation and provides conditions for longer term sustainability. Therefore, a programmatic institutional approach is needed to support these dual goals. We identify that a programmatic approach would include: (1) applying conditions of an agroforestry system as a holistic structured unit, (2) improvement of farmer knowledge and skills, (3) increasing the role and capacity of relevant institutions, (4) improving coordination between sectors, (5) developing conservation agriculture systems, (6) improving bureaucratic support systems, and (7) strengthening control and supervision functions. These elements imply that implementation of agroforestry technology requires institutional support in designing policy for critical land rehabilitation, of which would have significant economic and ecological outcomes on critical lands.

Constructing Governance Framework of a Green and Smart Port

Developing a green and smart port is a significant progress in the specific application of energy conservation and emission reduction as well as intelligent technologies in global ports and maritime shipping sectors. The paper aims to analyze the inherent relationships among different structural factors and proposes specific countermeasures and governance policies for green and smart port construction. It uses interpretive structural modeling analysis to divide the factors into different levels, and draws a model map of green and smart port construction structure. The research result contributes to providing a theoretical basis for governments to formulate a green and smart port policies and establishing effective method systems and technical means for the port industry and stakeholders to leverage intelligent port technologies for the port development.

Sustainability for Small and Medium Enterprises: An Interpretive Structural Modeling Approach

Sustainability symbolises an equitable world with responsible governments, businesses and people striving to protect the natural environment and social equity, at the same time not compromising their quest for economic growth. This empirical study on the sustainability scenario in SMEs is undertaken in Coimbatore district, Tamil Nadu, South India. The sample for the study consisted of 220 SMEs drawn from the members of CODISSIA. This pioneering empirical research has identified the mutual influences amongst the drivers of sustainability. These variables were identified based on a literature review and a survey conducted among small and medium enterprises. The interpretive structural modelling analysis has been used to identify the interrelationships amongst the identified variables. Further, a MICMAC analysis was used to classify the variables as driver variables, linkage variables, autonomous variables and dependent variables. The results of the study provide insights on the appropriate factors that drive sustainability practices.

Fuzzy approach to eco-innovation for enhancing business functions: a case study in China

PurposeAlthough sustainability is a popular topic in the past decade, there is a lack of research to identify the driving factors for developing countries. The purpose of this paper is to investigate the driving factors for achieving eco-innovation.Design/methodology/approachAn in-depth case study is employed to address the objective outlined above. A Chinese company with more than 1,200 employees was selected to address the research question.FindingsBy fuzzy decision-making trial and evaluation laboratory and interpretive structural modelling analysis, the driving factors for eco-innovation are identified, and the priority of different factors has also been extracted.Originality/valueThis is among the first studies to carry similar analysis regarding eco-innovation. More specifically, this is perhaps the first study to take this approach and to analyse this topic in a developing country.

Prioritizing BIM Capabilities of an Organization: An Interpretive Structural Modeling Analysis

The Indian Architectural Engineering and Construction sector is grappling with the adoption of BIM as is evident from a relatively low level of adoption. While there have been sufficient number of successful (and unsuccessful) project level implementations of BIM in India, the maturity level of the overall industry and its constituents remains relatively low. One of the challenges faced, especially at the organizational level, is an understanding and development of the organization's BIM capabilities. These capabilities need attention in terms of their effectiveness and hierarchy of implementation in order to overcome the challenges of adoption and increasing maturity levels in BIM usage. The inability to identify crucial BIM capabilities is one of the primary barriers to ineffective BIM implementation and slow adoption in India. The aim of this study is to investigate the dynamics of different BIM capabilities and to understand how these capabilities can be represented as a set of interrelated elements by adopting Interpretive Structure Modeling (ISM) technique Accordingly, a clear understanding regarding the nature of each BIM capability is developed that will help the organizations to plan the strategic implementation of BIM on any project and gain systematic, logical and productive results. Through the three-phased study, it was concluded that BIM capabilities namely visualization, energy and environment analysis, structural analysis, MEP system modelling, constructability analysis, and BIM for as-built were found to be the independent BIM capabilities having strong driving power but weak dependence power. Facilities management is a dependent BIM capability with weak driving power but strong dependence power. This study provides a roadmap to BIM implementers by highlighting the driving and dependence power of each BIM capability which is deemed useful for enhanced delivery of construction projects. Significant theoretical and practical implications are envisioned for both researchers and project managers through the findings of this study.

Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis

In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the “Matrice d’Impacts Croisés Multiplication Appliquée à un Classement” (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed.

KEY FACTORS IN INSTITUTIONAL DEVELOPMENT OF AGROFORESTRY ON PRIVATE LANDS

The aims of this study to determine the key factors in the institutional development of agroforestr y in the community land. Research was conducted in Majenang District, Cilacap Regency, Central Java Province during April to December 2014. Data were analyzed by using Inter pretative Structural Modeling analysis. The results showed that there were three main elements in the institutional development of agroforestr y, namely the main obstacle element, the main program and lead actors. Based on this research, it was concluded that the key factors that must be considered in the institutional development of agroforestr y among other, policy support, availability of agroforestr y technology package, as well as optimization of the involvement of the Cilacap Forestr y and Plantation Service Office, as well as research institutions/ university . Therefore, both central and local governments are advised to give priority to the management of the key factors in the agroforestry institutional development.

Strategies to Accelerate Manufacturing Growth in India: A System Dynamics–Interpretive Structural Modelling Analysis

The stagnant manufacturing sectoral share in India’s gross domestic product (GDP) needs an in-depth understanding, analysis and recommendation for growth. Taking manufacturing to a higher growth trajectory has now become a necessity for India’s prosperity. The 2011 National Planning Commission’s (NMP) objective of 25 per cent contribution by manufacturing to India’s GDP by 2025, though challenging, needs an urgent focus. This article utilizes system dynamics (SD)-based simulation for three futuristic economic scenarios to assess the achievability of the NMP targets. The article also provides an understanding of a few critical issues of the manufacturing sector using the causal loop diagram approach of SD. The article also applies the interpretive structural modelling approach to 19 factors identified from the literature, which impact the manufacturing sector. Nine driving factors have been identified for accelerating the manufacturing sector: Technology, labour Reforms, Infrastructural and energy reforms, Good Governance, quality Education and Resource management (TRIGGER). The four dependent factors identified are Domestic value addition, Macroeconomic health, manufacturing Investment and Green-field projects (DMIG).