Interpretive Structural Modeling Method Research Articles

Strategy to Decrease Counterproductive Work Behavior: Implementation of Interpretive Structural Modeling

This study aims to analyze the determinant factors of Counterproductive Work Behavior (CWB) to make plan strategies for overcoming Counterproductive Work Behavior. This research used the Interpretative Structural Modeling (ISM) method. The ISM method is able to show the interrelationships between existing elements. This method can be developed to plan strategic human resource management policies related to CWB. The strategy for managing human resources related to CWB in automotive companies in Bekasi is carried out according to the level of importance based on a problem. The results showed that it is necessary to overcome Counterproductive Work Behavior by handling job stress (Task demands, Role demands, Family problems, and Economic problems) and role ambiguity (Clarity of Responsibilities, Clarity of goals, and Clarity of roles and scope of work).

Strategy Analysis for Implementing Rice Transplanter Planting Machine Technology in Rice Farming Using the Interpretive Structural Modeling (ISM) Method in South Sulawesi

Indonesia has several rice producing centers, one of which is Sidrap Regency which is located in South Sulawesi with the support of a rice transplanter technology system. This research aims to analyze the factors inhibiting the implementation of rice transplanter rice planting machine innovation and strategies for implementing the use of this planting machine. This research uses descriptive analysis by creating frequency tables and percentages from primary data results obtained through interviews with respondents. Likert scale to measure farmers' responses to the dissemination of the Rice Transplanter rice planting machine innovation in Sidrap Regency and the ISM method was used to develop a strategy for implementing the dissemination of agricultural innovation to support agricultural development in Sidrap Regency. The research results show that the factors inhibiting the implementation of Rice Transplanter machine innovation are farmers' lack of skills in using rice transplanter, limited rice transplanter, facilities in farmer groups, lack of rice transplanter service providers and lack of farmer staff, motivation to use rice planting tools. The strategy for implementing rice transplanter innovation is through training in implementing rice transplanter innovation, increasing farmers' interest in using rice transplanters, providing rice transplanter facilities and strengthening institutions.

Implementation of blockchain – IoT-based integrated architecture in green supply chain

PurposeDigital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.Design/methodology/approachAfter a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.FindingsThis paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.Research limitations/implicationsThe focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.Practical implicationsThe transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.Social implicationsGreen supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.Originality/valueWe have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

Developing a cognitive model of solid geometry based on Interpretive Structural Modeling method

With the advancement of science and artificial intelligence, education is experiencing significant innovation. The adaptive learning system is emerging as a promising approach to achieving personalized learning. The cognitive model plays a crucial role as the fundamental rationale behind the adaptive learning system. Currently, there is no uniform and highly operational method for constructing cognitive models. This study adopts Interpretive Structural Modeling (ISM) as the foundational approach for constructing a cognitive model of solid geometry. Based on literature and expert opinions, 17 cognitive attributes of high school solid geometry were identified. Subsequently, a questionnaire survey involving 40 experts was conducted to establish the contextual relationships among these attributes. Applying the ISM method resulted in a seven-level model. This model was then revised based on expert opinions to create the final cognitive model, revealing three primary paths within the domain of high school solid geometry.This paper contends that the use of the ISM method for constructing cognitive models is effective and objective. The resulting cognitive model unveils the content structure of high school solid geometry, and provides an innovative perspective on the construction of cognitive models.

Analysis of Actor, Needs, Constraints, and Action Plans for the Development of Traditional Game Cultural Tourism Attraction in the Tourism Villages of Durensari, Trenggalek and Kampung Dolanan Borobudur, Magelang

The purpose of this study is to analyze and find out the actors, needs, constraints, and action plans for the development of traditional game cultural tourist attractions in the Tourist Villages of Durensari, Trenggalek, and Kampung Dolanan Borobudur, Magelang. This analysis is needed to provide direction to stakeholders as the basis for a comprehensive, effective, and efficient strategic plan supporting the development of traditional game cultural tourism attractions. This research employs case studies, the purposive approach of selecting respondents, and the qualitative descriptive method. Data collection methods encompass observation, interviews, documentation, and filling out questionnaires. The analysis method is the ISM (Interpretive Structural Modeling) method supported by ISM Expert software. According to this study, the factors that most strongly propel and impact the growth of traditional game tourism attractions are (1) the actor element, namely the tourist attraction manager; (2) elements of need, namely publication and promotion; (3) element of constraints, namely limited government facilitation; and (4) element of action plans, namely networking and collaboration. These main elements should be a reference in developing traditional game tourism attractions in the Tourist Village Durensari and Kampung Dolanan Borobudur. Keywords: Cultural Tourism Attraction, Actor, Constraints, Needs, Action, Traditional Game, Tourism Village.

Growth-accelerating factors of green finance for green growth: a study using TISM

PurposeThe objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.Design/methodology/approachAround nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.FindingsThe findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.Research limitations/implicationsThis study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.Originality/valueThe study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

Equipment Fault Propagation Path Identification Based on Unstable Points Detection

To prevent industrial fault propagation, it is important to clarify the relationship between industrial system components and identify the fault propagation path efficiently and timely, aiming at the problems in fault propagation path identification, this paper presents an equipment fault propagation analysis approach based on unstable points identification to solve such issues. First, the fault propagation diagram is created by analyzing the industrial complex system components. Second, to address the issues of traditional Interpretative Structural Modeling (ISM), the Bilateral Rotation Interpretative Structural Modeling (BRISM) method is proposed to stratify the components and detect the unstable points. Finally, the fault propagation graph is analyzed using the PageRank algorithm to update the unstable points and edge weights between different nodes to identify the fault propagation paths. The results indicate that the proposed method can effectively identify fault propagation paths between components and can be applied to various industrial systems.

Hambatan Kontraktor Dalam Penerapan Konsep Green Construction Di Surabaya

The level of carbon dioxide or global warming continues to increase in the world. It becomes one of the strongest reasons for providers of construction goods and services to apply the concept of green construction. The application of the green construction concept is still a new thing, and not all components of the green construction concept have been well implemented by contractors. In applying the concept, several obstacles have occurred. This study identified the most dominant obstacles experienced by contractors in implementing the green construction concept, especially in Surabaya. Primary data were collected and then processed through the interpretive structural modeling method to find the most dominant obstacles. Twelve obstacles spread over five levels were found in this research, namely: lack of best practices and lessons learned, lack of understanding of green construction, difficulty in getting certificates, lack of awareness of the green construction benefits, feeling no need to implement green construction, no guidelines, procedural constraints, lack of government socialization, limited availability of green land, lack of alternative materials, limited availability of environmentally friendly materials, and difficulty in obtaining environmentally friendly materials. According to the respondents, the most dominant obstacles included the absence of a guideline and the lack of socialization from the government.

Problems of Productive Waqf Management in Indonesia using ISM Delphi

Waqf has a contribution to the country's economic development, if the waqf land is managed productively it will become a very large asset for the people and can be used for public welfare. However, at present the potential for waqf has not been used optimally in Indonesia. There are many factors that cause suboptimal management of waqf, therefore the author tries to analyze the management of productive waqf in Indonesia seen from 2 elements: problem elements, and institutional/stakeholder elements. The method used is the Interpretive Structural Modeling (ISM) method and the Delphi method. The results of this study of elements of problems which are the highest ranks are the less of educational or public understanding of waqf, less of public trust in Nazhir institutions and weak political will of authority holders. Then the highest rank of the related institutional elements are BWI, Ministry of Religious Affair, and DSN-MUI.

Indonesia Islamic Bank Development: An Interpretive Structural Modeling (ISM)

This research is aim to identify the priority factors that being barrier to develop Islamic bank in Indonesia using Interpretive Structural Modeling (ISM) method. Here is also offered some solutions for the problems identified. ISM is an advanced planning methodology used to identify, analyze and summarize various relationship among factors that define a problem, model or issue. The development of Islamic bank in Indonesia with ISM framework is divided into three criteria: (1) Strategy or foundation required within the framework of developing Islamic banks, and (2) Stakeholders or actors involved in the development of Islamic banks in Indonesia. Result show that the core strategies or foundations that’s needed in framework of Islamic banking development in Indonesia are: The improvement of public literation and preference, Strengthening and align ruling and supervision, Strengthening policy synergy between the stakeholders and Improvement quality and quantity of human resources, information system & technology and other infrastructures.

Modeling the Strategic Enablers of Financial Sustainability in Saudi Higher Education Institutions Using an Integrated Decision-Making Trial and Evaluation Laboratory–Interpretive Structural Modeling Approach

Ensuring financial sustainability is paramount for higher education institutions (HEIs) to maintain financial viability and accomplish their strategic objectives by efficiently managing and utilizing resources. Studying strategic enablers’ interconnections and influences on each other is essential to forming a profound understanding and guiding the execution of initiatives linked to achieving financial sustainability plans. The main objective of this research study is to construct a model and analyze the strategic enablers of financial sustainability in HEIs and their associated dimensions. An integrated modeling approach was followed based on the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. Input data collected from experts with specialist experience in financial sustainability in HEIs were used in the modeling. The overarching finding is that starting with the development of regulations and legislation-related systems leads to good governance practices, enabling the achievement of financial sustainability in HEIs. The developed model unpacks the complex relationships among the enablers and their dimensions. It reveals their cause-and-effect relationship classifications, ranks based on relative importance weights, dependence and driving powers classifications, relationship directions, and interpretive structure. It provides an overarching view of the interconnected network that acts as a roadmap to achieving financial sustainability in HEIs.

Evaluation of Land Use Efficiency in Tehran’s Expansion between 1986 and 2021: Developing an Assessment Framework Using DEMATEL and Interpretive Structural Modeling Methods

Evaluation of Land Use Efficiency in Tehran’s Expansion between 1986 and 2021: Developing an Assessment Framework Using DEMATEL and Interpretive Structural Modeling Methods

How Does Psychological Empowerment Affect Knowledge Management Improvement in Organizations? A Study of Cause-and-Effect Relationship Using the Fuzzy DEMATEL Method

The present article aims to investigate the cause-and-effect relationship between the employees’ psychological empowerment (PE) and dimensions of knowledge management (KM) in an oil company, using the fuzzy decision-making trial and evaluation laboratory method. The study population consists of oil company experts. The sample size is determined based on the theoretical saturation limit. The present findings show that PE is the strongest causative factor with significant effects on knowledge creation (KC) and knowledge dissemination (KD). Among the KM dimensions, the most influential factors are the dimensions of KC, knowledge application, and knowledge capture (KCA). Of all KM dimensions, knowledge refinement is the most influential. The KC, in addition to being the most important dimension of KM affected by PE, is also found to influence all other dimensions of KM; this indicates its key role as a starting point in the process of KM. Considering the reciprocal effects of PE and the two dimensions of KM (KC and KD), it is important to pay attention to KC when developing a KM system. Importantly, the present findings show that PE and KM have an interdependent interaction. In other words, not only by improving the employees’ PE, the organizations can accelerate the KM process, but also by improving the KM systems, they may increase their employees’ PE. Based on the sensitivity analyses, our proposed method is as efficient as the available methods, such as interpretive structural modeling and Bayesian best-worst method.

Strategy of Organik Agriculture Development in West Sumatra

This study reviews the development of organic farming, especially in the paddy field sector, since the introduction of Organic Agriculture Certification (SPO) in 2010. The method used The research was conducted using a qualitative approach and using the Interpretative Structural Modeling (ISM) method, while the population used for the research is in the areas of Agam Regency and Padang Pariaman Regency, West Sumatra as well as a sample of farmer groups/individual farmers in Agam Regency and Padang Pariaman Regency who have obtained SPO certification. The results of an analysis of organic farming in Agam Regency and Padang Pariaman Regency, West Sumatra, focus on paddy fields for several farmer groups that have been certified until 2023. This study details the growth of organic farming in West Sumatra and strategies to support sustainability in the region. Efforts such as SLAPO, PPO, and organic certification are supported by the Organic Task Force and LSO. The strategy analysis involved coordination between Provincial and Regency governments, strengthening farmer groups, active incentives, production subsidies, and wholesaler partnerships. The ISM method is used to identify priorities, including government coordination and improvement of field officers and farmers.

Development of a Model for Data-Driven Decision Making: Critical Skills for School Leaders

Data may equip school leaders with the information they need to make crucial changes that will enhance the education system in the future although the usage of data may not be able to resolve every issue. However, proper data utilization can advise the right conclusion. Therefore, this study aims to design and develop an experiential narrative-based model for school leaders in data-driven decision-making (DDDM). The model has been designed and developed using the Design and Development Research (DDR) approach, which involves three phases: the need analysis phase, the design and development phase, and the usability evaluation phase. However, the researcher only focuses on this paper in the second phase. The design and development process began with a literature study, followed by approval and consensus from a 9-expert panel. The model was designed using the Nominal Group Technique (NGT) technique and developed using the Interpretive Structural Modelling (ISM) method. The design and development phase revealed that 13 DDDM competency components had been generated through the expert panel's opinions and agreement. Overall, based on the experiential narrative of the experts in this study, the model is appropriate for usage and implementation. As a result, the empirically established and verified model has the potential to enhance school leaders' knowledge, skills, and attitudes toward data-driven decision-making.

Vulnerability Assessment for Port Logistics System Based on DEMATEL-ISM-BWM

In order to identify and assess the vulnerability of the port logistics system itself, this paper further improves the methodology on the basis of previous studies by using the Deterministic Experimentation and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods to study the correlation between the vulnerability factors of the port logistics system, and the best-worst method (BWM) to identify the key vulnerability points of the system. The results of the study showed that in terms of the correlation between the factors, port consolidation capacity and average arrival time are the most direct factors affecting the vulnerability of the port logistics system, and the strength of government regulation and coordination and the level of port management are important indirect factors affecting the vulnerability of the port logistics system. This paper also found that port loading and unloading facilities and natural disasters are the main vulnerabilities affecting the port logistics system itself. Port enterprises should focus on reducing the vulnerability of the system by strengthening the above aspects. The model constructed in this paper can also be applied to future research on the resilience and sustainability of port logistics.

An analysis of barriers to the implementation of smart grid technology in Pakistan

The share of renewables in the energy mix of Pakistan has gradually been increasing over the past few years, and the generated electricity is sufficient to cater to consumer electricity demands. However, almost one-third of the population still lacks electricity because of inefficiencies in transmission and distribution systems. To address this, the government introduced smart grid projects that were ineffective. Therefore, for the successful implementation of the Smart grid technology in Pakistan, it is important to know the barriers to implementing the technology in Pakistan and determine their interrelationship with each other. This research aims to identify Pakistan-specific smart grid implementation barriers through a mixed-methods approach involving a literature review and expert surveys based on the Delphi method to identify barriers and determine their interlinkages. Nine barriers are identified: state monopoly, lack of public awareness, lack of relevant regulations and policies, organizational barriers, financial constraints, market uncertainty, a dearth of technical human resources, lack of modernized grid infrastructure, and data management issues. This is followed by developing a hierarchical model in consultation with Pakistan's Energy sector experts using the Interpretive Structural Modeling (ISM) method. The driving and dependence powers of the identified barriers are determined by using MICMAC analysis. The result shows that the nine barriers are interlinked at five hierarchical levels. These are: ‘state monopoly’, and ‘lack of public awareness (level five)’, ‘lack of relevant regulations and policies (level four)’, ‘organizational barriers (level-three)’, ‘market uncertainty and financial barriers (level-two)’, and ‘lack of modernized grid infrastructure’, ‘a dearth of technical human resources’, and ‘data management issues (level-one)’. From this, we draw the conclusion that since the barriers with high driving power are influencing those with less driving power, the identified barriers may be addressed sequentially starting from level-five for the successful implementation of the Smart grid technology in Pakistan. The existing literature on the Smart Grid Implementation barriers in Pakistan lacks a determination of the interlinkages between barriers. Therefore, the findings of this research will help the energy sector stakeholders in Pakistan understand the nature of the barriers hindering smart grid technology implementation and enable them to devise effective energy policies while simultaneously adopting intelligent implementation and operational strategies. Insights reported in this study could also be useful for policymakers and stakeholders from other developing countries with socioeconomic and political contexts similar to Pakistan. Further investigations on the findings of this study may be performed using the Analytical Hierarchical Process method to quantify the weights of barriers identified in this research, and Structural Equation Modeling may be used to check the validity of the hierarchical model developed in this study.

A hybrid STAMP-fuzzy DEMATEL-ISM approach for analyzing the factors influencing building collapse accidents in China.

To explore the factors influencing recent construction collapse accidents, this study utilizes a sample of 355 reports on building collapse accidents from 2012 to 2022. The investigation employs the systems-theoretic accident modeling and processes (STAMP) model to retrieve 22 key causal factors of accidents from the physical, operational, managerial, and supervisory layers. Subsequently, an improved decision-making trial and evaluation laboratory (DEMATEL)-interpretive structural modeling (ISM) method is used to analyze the relationships and strengths of these influencing factors, providing a comprehensive understanding of the logical connections between the causes of building collapse accidents. The results indicate that the deep-rooted causes of building collapse accidents are primarily lax safety management at the enterprise level and the exchange of interests at the government regulatory level, which in turn affect workers at the operational level and the physical aspects of accidents on-site. Furthermore, integrating the STAMP model and the triangular fuzzy DEMATEL-ISM model overcomes the limitations of the traditional STAMP model, allowing for a more focused identification of key factors.

Critical factors for implementing collection target responsibility in e-waste collection in China: A DEMATEL-ISM analysis

The Collection Target Responsibility (CTR) is the direction for the proper management of e-waste reuse and recycling. Despite its potential, the CTR policy is still in its infancy in China and faces significant challenges to its effective implementation. There are a few studies that have systematically identified and analyzed the factors that influence the application of CTR to e-waste collection systems in China. This study proposes a comprehensive process that considers collection targets and behaviors to develop the critical factors (CFs) involved in e-waste collection under CTR by participants including government, manufacturers and recyclers. The Decision-making Trial and Evaluation Laboratory and Interpretative Structural Modeling (DEMATEL-ISM) method was applied to analyze these CFs. The findings show that the development of policy and regulation is the root factor influencing the implementation of CTR in China, both in terms of collection targets and behaviors. Incentives and regulation of government, collection channels, and benefits of manufacturers and recyclers are important CFs that participants consider when adopting CTR and should be prioritized. This study not only contributes to the literature on e-waste collection under CTR, but also provides valuable insights for decision-makers to improve the performance of e-waste collection practices.

Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain

Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and processes of the agricultural production chain. However, there are no suitable frameworks aimed at creating strategies to overcome the barriers that hinder agriculture 4.0. In developing countries, discussions about this scenario are less comprehensive and require more attention. This is the case of Brazil, one of the major players in agribusiness in the world, which has great potential to expand the reach of agriculture 4.0. The objective of this research is to propose a framework to manage the barriers to the introduction of agriculture 4.0 to the agricultural production chain in the southern region of Brazil. Twenty-five barriers were selected through a Systematic Literature Review (SLR). The barriers were validated through the perception of farmers, and a confirmatory factor analysis was adopted in the validation process. Next, specialists in the field developed contextual relationships between the barriers. The Interpretive Structural Modeling (ISM) method was applied, as well as the Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) analysis, which allowed identifying the barriers of agriculture 4.0 that have a high driving power and those that are dependent. The proposed framework shows the hierarchy between the barriers of agriculture 4.0, highlighting their different relationships and thus highlighting which ones should be prioritized for a more successful implementation. This study provides a better understanding of the existing literature on the barriers of agriculture 4.0 and identifies the practical implications that affect its implementation. It is hoped that this study will serve as a guide to the implementation of agriculture 4.0 by helping to direct the efforts towards the removal of the most important barriers.