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... ISM is also a SOR method that is utilized to analyze complex systems and comprehend the hierarchical relationships between factors [22]. Similarly, to DEMATEL, ISM can visualize the interdependencies and interrelationships between its components using the system thinking methodology. ...
... It aids in identifying which elements exert direct influence on others and which elements serve as intermediaries or movers within the system. By delineating the relationships and dependencies between system components, ISM can provide a systematic approach to decision making [22]. ...
... ISM technique also has some disadvantages. It requires identifying relationships, constructing hierarchies, and analyzing dependencies, which can be difficult and timeconsuming to implement, particularly for large and intricate systems [22]. Simplifying and generalizing complex systems can result in omissions and the loss of crucial details. ...
In this paper, we propose a novel approach to the development of green public policies. We emphasize the significance of the system of systems (SoSs) methodology, which concentrates on understanding and managing complex systems by contemplating their interdependencies and interactions as a single integrated system. Based on this perspective, we consider green public policy as a system interacting with the energy, health, pollutants, and economic systems of the SoSs. As a method of systematic structural analysis, we use both decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) techniques to understand the relationships between the systems listed above. We provide a literature review on the application of these soft operation research (SOR) techniques. We note that SOR methods are suitable for the formulation of effective public policies. Using an example, we demonstrate the primary advantage of DEMATEL and ISM, which is the establishment of easily comprehendible causal relationships between the systems in the SoSs.
... To accomplish these goals, a set of sentimental factors were discerned from literature support, and the nine most crucial sentimental factors were identified after rounds of continuous expert opinion. The study employs the ISM technique (Attri et al., 2013) to examine the interactions among these factors and the analytical hierarchy process (AHP) technique (Zahedi, 1986) which is used for ranking the identified factors. The ISM technique is utilised in tandem with Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis to assess the driving and dependent power of the factors (Fore and Mbohwa, 2015;. ...
... The primary objective is to discern the most influential sentimental factors that shape cryptocurrency prices. To achieve this objective, the research leverages the ISM technique (Attri et al., 2013). It is used to scrutinise the interactions among these factors, aiming for a more profound and refined comprehension of these intricate team-level constructs (Kaur et al., 2016). ...
... For an in-depth exploration of the ISM and MICMAC methodologies, refer to the works of Sushil (2012), Attri et al. (2013), Janes (1988), Chander et al. (2013) and Bux et al. (2020). 4.3.2 ...
Purpose
Cryptocurrency, an emerging asset class, is a virtual form of currency that uses cryptography for security and operates on decentralised networks based on blockchain technology. It offers both challenges and opportunities for investors, particularly in terms of diversification, risk management and potential returns. Considering this, the present study attempts to investigate the sentimental factors influencing cryptocurrency while unravelling the intricate interplay among these factors.
Design/methodology/approach
To achieve this, interpretive structure modelling (ISM) identifies the hierarchical model of critical sentimental factors, while Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) explores their dependency and driving power. Analytic hierarchy process (AHP) is adopted to rank the drivers.
Findings
Findings reveal that the pandemic, war, religiosity and economic uncertainty are top-level factors dominantly shaping cryptocurrency trends. Simultaneously, Google Search Trends and Herding emerge as the most dependent factors, influenced by sentiments that emerged from other factors.
Practical implications
The study unpacks implications, acknowledges limitations and proposes avenues for future research.
Originality/value
By exploring the interactive interrelationships among identified sentimental factors through ISM-MICMAC analysis and ranking via the AHP, this paper will have a great influence while contributing towards this evolving field.
... This paper will identify some of the Critical Success Factors (CSFs) for the cyclone in Bangladesh and make a hierarchy giving priority to the essential factor through ISM (Interpretive Structural Modelling) approach. This approach was initially introduced by Warfield (Attri et al., 2013). It assists individuals in establishing complex relationships between multiple elements given in a complicated situation (Warfield, 1974). ...
... ISM depends on the collaboration of different phases of learning where a set of distinguished straight and secondarily relevant/apposite substances is formed into an all-inclusive systemic model (Attri, Dev and Sharma, 2013). This model indirectly conveys perceptions and words with a complex structure of an issue or problem (Attri et al., 2013). ...
... ISM depends on the collaboration of different phases of learning where a set of distinguished straight and secondarily relevant/apposite substances is formed into an all-inclusive systemic model (Attri, Dev and Sharma, 2013). This model indirectly conveys perceptions and words with a complex structure of an issue or problem (Attri et al., 2013). ...
Cyclones are a common hazard in Bangladesh's coastal region, urging humanitarian responses to overcome the adverse events. However, it depends on some success factors. A group of Critical Success Factors (CSFs) has been discerned through rigorous literature reviews and expert opinions. Then the contextual relations of those CSFs have been established through Interpretive Structural Modelling (ISM). Simultaneously, Cross-impact Matrix Multiplication Applied to Classification (MICMAC) analysis has also been applied to reveal the autonomous and dependent values of the factors. It has been observed that strategic planning and contribution from the Information and Communications Technology (ICT) sector lead to the hierarchical tree. Thus, the Humanitarian Supply Chain's (HSC) success in cyclone depends on these factors. The findings demonstrate that proper planning with the amalgamation of ICT can ensure an effective HSC for the cyclone in Bangladesh.
... The ISM approach offers several advantages over other similar methodologies. Firstly, it enables the systematic analysis of the contextual relationships among the identified variables, considering both direct and indirect influences [5]. Secondly, ISM provides a visual representation of the complex interrelationships through a hierarchical digraph, facilitating a clearer understanding of the system Resource Efficiency (C11) Strategies like eco-design, process optimization and industrial symbiosis that improve material or energy productivity enable companies to capture economic gains from circular models as it hinges on advancing resource efficiency across production. ...
... Intersection Set Level 1 1, 3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 2 1,2,3,4,5,6,9,10,11,12,13,14,15,16, 2, 2, IV 3 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 4 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 5 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 6 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 7 1,3,4,5,6,7,9,10,11,12,13,14,15,16,7,8 7 IV 8 1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,8 8 V 9 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16, III 10 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 11 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 12 12,14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,16,12, II 13 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 14 14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,14,15,I 15 14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,14,15,I 16 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16, III ...
... Intersection Set Level 1 1, 3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 2 1,2,3,4,5,6,9,10,11,12,13,14,15,16, 2, 2, IV 3 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 4 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 5 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 6 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 7 1,3,4,5,6,7,9,10,11,12,13,14,15,16,7,8 7 IV 8 1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,8 8 V 9 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16, III 10 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 11 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 12 12,14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,16,12, II 13 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16,III 14 14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,14,15,I 15 14,15,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,14,15,I 16 1,3,4,5,6,9,10,11,12,13,14,15,16,1,2,3,4,5,6,7,8,9,10,11,13,16,1,3,4,5,6,9,10,11,13,16, III ...
The biosphere, which supports humankind, has undergone extraordinary change in the past fifty years. The world’s economy and life on earth are both in danger because of our existing economic paradigm, which is dependent on fossil fuels and addicted to growth at all costs. This calls for the creation of a new economic structure; therefore, the current study aims to identify the key drivers promoting adoption of circular bio-economy. A total of sixteen key drivers have been identified based on literature and expert’s opinions. Interpretive structural modelling (ISM) has been used to analyse the data. The results indicate waste reduction, price competitiveness and cost efficiency are the most important driver promoting adoption of circular bio economy. The findings of the study will help in encouraging circular bioeconomy which improves resource efficiency, thereby, lessening demand on limited resources and allays fears about scarcity. Furthermore, the circular bioeconomy will aid in crafting policies to mitigate climate change by lowering dependency on fossil fuels and promoting bio-based products and energy sources.
... It involves using drawings and mathematical equations to solve complex problems [32,33] and is suitable for using visual representations to explain complex systems in an easily understandable way [34]. ISM requires specifying the relationship of each directly and indirectly related element, indicating the primary connection and overall relationship of these elements [35]. ...
... The next step involves converting the SSIM into a reachability matrix (RM) and examining the transmission values, which leads to a complete matrix model. The structural model called ISM is then decomposed and extracted [35]. ...
Background: The increasing global focus on sustainability has made Green Supply Chain Management (GSCM) a critical strategy for businesses to balance environmental responsibility with operational efficiency. Despite its benefits, GSCM adoption in developing countries faces significant challenges. This study addresses the gap by investigating these barriers within the Thai context, providing actionable insights for policymakers and businesses. Methods: A mixed-methods approach was employed, including a survey of 480 business owners, executives, and supply chain employees, and expert analysis using Interpretive Structural Modeling (ISM). The ISM technique was used to determine the relationships and hierarchy among key barriers to GSCM implementation. Results: The findings reveal that weak legal frameworks, insufficient supplier engagement, and a lack of social responsibility are the most significant barriers. Secondary factors, such as low consumer demand and minimal competitive pressure, exacerbate these challenges. The ISM analysis highlighted the cascading effects of foundational barriers on other dimensions of GSCM adoption. Conclusions: Strengthening environmental regulations, promoting supplier collaboration, and embedding sustainability in corporate culture are key to overcoming GSCM barriers to sustainably enhance Thailand’s competitiveness.
... Modelling applied to the data set follows classical stepwise procedure of ISM devised by Warfield, 1973 enumerated by Attri et al., 2013and Thakkar et al., 2008and used by Niazi et al., 2019a. As a first step, a Structural Self-Interaction Matrix-SSIM (Table-2) is prepared by aggregating the opinion of experts using rule 'minority gives way to majority'. ...
... Un-customized contingency plans V V X V X X V Table 2 into initial reachability matrix (Table 3) by applying the classical rules used in ISM procedures (Attri et al., 2013;Thakkar et al., 2008). ...
... On the other hand, to understand the relationships between factors, structural models are potential candidates. These models' category includes interpretive structural model (ISM), decision-making trial and evaluation laboratory (DEMATEL), and structural equation modeling (SEM) (Attri et al., 2013;Lin, 2013;Nachtigall et al., 2003). Particularly, ISM is a technique based on a computer to structure a set of elements that have both indirect and direct relationships with each other into a comprehensive systematic model (Watson, 1978). ...
... Particularly, ISM is a technique based on a computer to structure a set of elements that have both indirect and direct relationships with each other into a comprehensive systematic model (Watson, 1978). However, this transition of ISM is unclear and less efficient (Attri et al., 2013). SEM is known as a model that presents the relationship between latent variables by a path graph using arrows (Schumacker & Lomax, 2004). ...
The current study proposes a new approach that is a combination of methods: fuzzy and decision-making trial and evaluation laboratory (DEMATEL) and distance-based approximation (DBA) so that decision-makers can determine the relationship structures between criteria, how the criteria affect each other, and the weight of each criterion. From that, managers can quickly and easily evaluate and select the best alternative. A previous study using DEMATEL and grey relational analysis (GRA) is presented as an example. Data from this previous study are used to present the implementation process and results of the proposed method and simultaneously show the results of the current problem solved by the fuzzy DEMATEL – TOPPSIS (technique for order of preference by similarity to ideal solution) method. The comparison of results between three methods including DEMATEL – GRA, fuzzy DEMATEL – TOPPSIS, and fuzzy DEMATEL – DBA is performed to demonstrate the efficiency of the proposed method. The results show that there is a slight difference in weights between fuzzy DEMATEL and DEMATEL but the error is extremely low. In addition, the correlation of results between methods is very high. Particularly, correlation coefficients between fuzzy DEMATEL and DEMATEL, between fuzzy DEMATEL – TOPPSIS and fuzzy DEMATEL – BDA, and between DEMATEL – GRA and fuzzy DEMATEL – BDA are 0.99, 0.95, and 0.78 respectively. Finally, all three methods suggest alternative 4 as the best option.
... On the other hand, to understand the relationships between factors, structural models are potential candidates. These models' category includes interpretive structural model (ISM), decision-making trial and evaluation laboratory (DEMATEL), and structural equation modeling (SEM) (Attri et al. 2013;Lin 2013;Nachtigall et al. 2003). Particularly, ISM is a technique based on a computer to structure a set of elements that have both indirect and direct relationships with each other into a comprehensive systematic model (Watson 1978). ...
... Particularly, ISM is a technique based on a computer to structure a set of elements that have both indirect and direct relationships with each other into a comprehensive systematic model (Watson 1978). However, this transition of ISM is unclear and less efficient (Attri et al. 2013). SEM is known as a model that presents the relationship between latent variables by a path graph using arrows (Schumacker and Lomax 2004). ...
The current study proposes a new approach that is a combination of methods: fuzzy and decision-making trial and evaluation laboratory (DEMATEL) and distance-based approximation (DBA) so that decision-makers can determine the relationship structures between criteria, how the criteria affect each other, and the weight of each criterion. From that, managers can quickly and easily evaluate and select the best alternative. A previous study using DEMATEL and grey relational analysis (GRA) is presented as an example. Data from this previous study are used to present the implementation process and results of the proposed method and simultaneously show the results of the current problem solved by the fuzzy DEMATEL—TOPPSIS (technique for order of preference by similarity to ideal solution) method. The comparison of results between three methods including DEMATEL—GRA, fuzzy DEMATEL—TOPPSIS, and fuzzy DEMATEL—DBA is performed to demonstrate the efficiency of the proposed method. The results show that there is a slight difference in weights between fuzzy DEMATEL and DEMATEL but the error is extremely low. In addition, the correlation of results between methods is very high. Particularly, correlation coefficients between fuzzy DEMATEL and DEMATEL, between fuzzy DEMATEL—TOPPSIS and fuzzy DEMATEL—BDA, and between DEMATEL—GRA and fuzzy DEMATEL—BDA are 0.99, 0.95, and 0.78 respectively. Finally, all three methods suggest alternative 4 as the best option.
... AI procurement involves numerous interconnected factors, making it challenging to identify their relative importance and relationships. ISM provides a structured methodology for systematically analyzing pairwise comparisons of these CSFs, leading to a more comprehensive understanding [74]. By continuously refining the ISM model, it becomes possible to pinpoint CSFs that exert substantial influence on other factors, alongside dependent CSFs that are profoundly impacted by these influential factors [74]. ...
... ISM provides a structured methodology for systematically analyzing pairwise comparisons of these CSFs, leading to a more comprehensive understanding [74]. By continuously refining the ISM model, it becomes possible to pinpoint CSFs that exert substantial influence on other factors, alongside dependent CSFs that are profoundly impacted by these influential factors [74]. This categorization helps prioritize efforts and resources during AI procurement. ...
This study investigates the critical success factors (CSFs) influencing the procurement of artificial intelligence (AI) systems within the United Arab Emirates (UAE) public sector. While AI holds immense potential to enhance public service delivery, its successful integration hinges on critical factors. This research utilizes Interpretive Structural Modeling (ISM) to analyze the CSFs impacting AI procurement within the UAE public sector. Through ISM, a structural model is developed to highlight the interrelationships between these CSFs and their influence on the procurement process, outlining the key elements for successful AI procurement within the UAE public sector. Based on the literature review and expert validation from the UAE public sector, ten CSFs were identified. This study found that clear needs assessment is the most influential CSF, while the long-term value of AI systems or services is the least influential. This study provides policymakers and public sector leaders with valuable insights, enabling them to formulate effective strategies to optimize the procurement process and establish a strong foundation for AI adoption. Finally, this will lead to an improved and more efficient public service delivery in the UAE.
... No knowledge of the underlying process is required in ISM, expert participants simply need to possess enough understanding of the process to be able to respond to the series of relational queries. The method provides an ordered and directional framework for complex problems (Attri et al., 2013). ISM offers a systematic process to structural modelling that develops a visual representation of inherent complexity using interconnected matrices and hierarchical model to describe the interrelationships Kapse et al., 2018). ...
The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods and practices within higher education (HE). The widespread adoption of GenAI tools and processes highlights an ongoing change to existing perceptions of the role of humans and machines. Academics have expressed concerns relating to: academic integrity, undermining critical thinking, lowering of academic standards and the threat to existing academic models. This study presents a mixed methods approach to developing valuable insight to the key underlying challenges impacting GenAI adoption within HE. The results highlight many of the key challenges impacting decision makers in the formation of policy and strategic direction. The findings identify significant interdependencies between the key underlying challenges associated with GenAI adoption in HE. We further discuss the implications in the findings of the high levels of driving power of the factors: (i) perceived risks from Large Language Model training and learning; (ii) the reliability of GenAI outputs in the context of impact on creativity and decision making; (iii) the impact from poor levels of GenAI platform regulation. We posit this research as offering new insight and perspective on the changing landscape of HE through the widespread adoption of GenAI.
... In 1974, Warfield presented the idea of using ISM to analyse complicated socioeconomic systems [111]. ISM helps in creating an understanding of the intricate connections among the numerous components of a complicated scenario [13]. Numerous scholars advised applying the ISM methodology to impose direction and order on the intricate relationships between any system's variables [94]. ...
The concept of a circular supply chain is becoming increasingly important in view of rising environmental concerns. Because traditional linear supply chains based on the "take, make, dispose" concept contribute significantly to resource depletion, waste generation, and environmental damage, implementing a circular supply chain can help organisations reduce their environmental impact, improve resource efficiency, and contribute to a more sustainable future. The objective of the current study is to identify the factors affecting implementation of the circular supply chain in India, examine the ways in which these factors interact, and finally rank them. A total of seventeen drivers were identified based on literature and expert opinions. Data was analysed using hybrid methodology combining Fuzzy Delphi Method, ISM technique and AHP approach. The findings show that environmental regulation (F1), climate change (F3), and green production processes (F2) are the most important and essential factors for creating circular supply chains. According to the study's conclusions, the industry will be encouraged to adopt a circular supply chain, which has major benefits for both businesses and society. By showcasing a dedication to sustainability and drawing in eco-aware clients and investors, a company's reputation can be enhanced by implementing a circular supply chain. A circular supply chain significantly reduces the amount of waste sent to landfills and incinerators, as well as the exploitation of natural resources, from an environmental standpoint.
... ISM combines scientific and lay perspectives to create graphical representations of system composition and structure, facilitating communication between technical experts and the public [67]. ISM is therefore intended for use when systematic and logical thinking is required to approach a complex issue under consideration [67,68]. Based on the literature reviewed for ISM applications, the procedure of the ISM approach is depicted in six steps (see Table 3). ...
... In this study, using the DEMATEL technique, direct influence scoreswhich represent the intensity and direction of these linkswere generated to obtain thorough knowledge of the relationships between the selected enablers (Wang et al., 2012). Next, an ISM digraph was constructed, and enabler weights were determined (Attri et al., 2013). MICMAC analysis was subsequently used to assess the driving and reliant abilities of the facilitators and classify their relevance (Singh et al., 2019). ...
Purpose
This study aims to seek and identify key enablers influencing the integration of deconstruction and carbon finance to improve sustainable and resilient construction in the Industry 5.0 era and then examines how these enablers relate to one another and rank, classify and prioritize them appropriately.
Design/methodology/approach
This study adopts the Integrated Decision-Making Trial and Evaluation Laboratory-Interpretive Structural Modeling-Matrice d’impacts Croises Multiplication Appliquee a un Classment (DEMATEL-ISM-MICMAC) methodology.
Findings
The key enablers are the circular economy approach with closed-loop material flow, prioritizing material recovery and reuse, and structuring carbon credits for affordability.
Research limitations/implications
The construction industry can advance toward environmentally friendly, sustainable building techniques and help achieve the larger objectives of carbon neutrality and environmental preservation by adopting the study’s guiding principles.
Practical implications
This study implies switching to circular rather than linear economic methods. It is still unrealistic to achieve zero carbon emissions, which is why carbon finance is important because it allows companies to trade carbon credits and encourages negative carbon activities and to structure and trade carbon credits affordably so that businesses of all sizes can participate. To extend the lives of current materials and reduce waste, it is imperative to maximize their reuse and minimize their disposal.
Originality/value
The novelty of this research lies in introducing carbon trade finance concepts to the construction sector, particularly focusing on the deconstruction phase, to enhance sustainability and resilience in construction practices in the Industry 5.0 era.
... ISM combines words; digraphs; and discrete mathematics for structuring complex phenomena [69] . The methodology entails five major steps, namely developing structural self-interaction matrix (SSIM), initial reachability matrix, final reachability matrix, partitioning of levels, and Matriced' Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analysis [70,71] , which were followed to develop an ISM-based model for the barriers to EMS implementation in this study. ...
Construction organizations in developing nations constantly lag in embracing changes in innovation, environmental sustainability, and safety, amongst others. Their contributions to environmental degradation, resulting in health-related consequences for construction stakeholders, are also alarming. Implementing environmental management tools such as environmental management systems (EMS) is often advocated to address the negative environmental impacts of construction organizations. Construction firms in developed nations have embraced EMS and implemented it to enhance construction business, environmental performance, and construction workers’ health, while similar evidence is not recorded in developing nations. Therefore, this study investigated the barriers to EMS implementation through a survey of construction professionals in the Nigerian construction industry. 106 valid data were analyzed using factor analysis, Cronbach’s alpha test, and fuzzy synthetic evaluation (FSE). The results of the factor analysis revealed four groups of barriers to EMS implementation, which are prioritized in the order of knowledge-related, stakeholders-related, process-related, and cultural-related barriers with FSE. The relationships between the four classes of barriers were determined using interpretive structural modelling (ISM) in which “knowledge-related barriers” are indicated as the core barrier to EMS implementation. To address the barriers to EMS implementation, organizing training, providing the needed resources for environmental education, collaborating with construction stakeholders, providing a reward system, and others were recommended. This study contributes theoretically and practically to environmental-related discourses in the construction industry. Theoretically, utilizing FSE provides an interesting insight that acknowledges the unique challenges of developing nations in the domain. Practically, this study gives an actionable focus for construction stakeholders to domesticate EMS within the local construction environment, thereby improving knowledge of the importance of environmental sustainability and pro-environmental behaviors.
... If I = j, meaning the diagonal of the matrix, the entry in the initial reachability matrix is set to 1 [26]. ...
Current production and distribution models in agriculture primarily operate based on the 'linear economy' approach. This means that after the exploitation of natural resources and the production of the final product, a significant portion of these resources and products, now contaminated or turned into waste, exit the economic cycle. The circular economy approach in agriculture seeks to reuse waste products and depleted inputs, thereby reducing the intensity of resource exploitation and taking a step towards sustainable agriculture. However, applying circular economy concepts in agriculture across different regions, especially in developing countries like Iran, can encounter various obstacles and challenges. The present study aims to identify and analyze these obstacles and challenges in the agriculture sector of Kurdistan Province, one of Iran’s key agricultural regions. For this purpose, after reviewing the literature and gathering expert opinions from the province's agrarian elites, 16 challenging factors were identified as potential barriers to expanding the circular economy in Kurdistan Province. These were examined and analyzed using the Interpretive Structural Modeling (ISM) approach. The required data were collected via a questionnaire in the spring of 2024. The research findings indicate that among the 16 factors analyzed, the key variables are the second, first, and third factors—namely, the illiteracy and low literacy rates among farmers, traditional and subsistence farming, and the small size and fragmentation of agricultural lands in Kurdistan Province. According to the experts and specialists interviewed, addressing these variables can significantly influence others, reducing the barriers and challenges facing the circular agricultural economy and the sustainable development of agriculture in Kurdistan Province.
... The FRM in Table A4 illustrates each barrier's driving power and dependence. Here, driving power is defined as the sum of all variables that a barrier can affect, and dependence is defined as the sum of all variables that can cause a barrier to come about (Attri et al., 2013). We will use these driving and dependent powers for MICMAC analysis in another section of this type of study. ...
Purpose
Despite their significant economic impact, small and medium-sized enterprises (SMEs) remain underrepresented in public procurement. While previous research has identified the barriers facing SMEs in public procurement markets, a knowledge gap still exists on how these barriers influence one another in a specific context.
Design/methodology/approach
This study developed a hierarchical structural model that reveals the contextual interrelationships between 14 notable barriers to SME involvement in public procurement, based on evidence from the publicly funded healthcare sector in the UK. The data were analyzed using interpretive structural modeling (ISM) and matrix impact of cross-multiplication applied to categorization (MICMAC).
Findings
The results systematically classify barriers based on their hierarchical relationships, offering a robust theoretical foundation for understanding their nature and interconnections.
Practical implications
The findings can help scholars, government administrators and politicians in government-funded healthcare systems determine the most influential barriers to SME involvement and their causes, enabling them to build viable remedies.
Originality/value
This is the first empirical study to examine the relationship between the barriers to SMEs' public health procurement, using evidence from the public health procurement context.
... ISM first divides the system into various subsystems (factors, elements) and then analyzes the factors and their direct binary relationships. This conceptual model is mapped into a directed graph, and the system's structure is revealed through Boolean logic operations, presented in a hierarchical directed topological graph without losing the system's overall function (Attri et al., 2013). Compared to tables, words, and mathematical formulas, ISM presents conclusions in a hierarchical topology diagram, offering an intuitive display. ...
Climate change is significantly and enduringly impacting global agricultural supply chains (ASCs), underscoring the urgent need to enhance their climate resilience. This study aims to identify key strategies for building agricultural supply chain resilience (ASCRes) in the context of climate change and their interrelationships. Through a comprehensive literature review and expert consultations, a framework of 12 strategies was developed. Using survey data from 312 Chinese ASC companies, BP-DEMATEL-ISM and PLS-SEM methods were employed to conduct causal analysis and factor level evaluation. The results indicate that “diversification of agricultural products and supply chain (SC) networks,” “Agriculture 4.0 and digital transformation,” and “taking proactive climate action” are critical strategies to enhance ASCRes in the context of climate change. These findings can provide theoretical basis for farmers, ASC companies, and governments to cope with the impact of climate change, so as to build more robust ASC systems.
... A powerful tool used to identify driving power (influential) and dependence power (influenced) is a quantitative method called Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (MICMAC). Both Attri et al. (2013) and Saxena et al. (1990) agree that MICMAC analysis is a significant tool for in-depth analysis of a system. The method defines the level of power and dependency by analysing the interrelation among the drivers. ...
To cope with massive development, many urban and surrounding rural areas have been agglomerated into a greater metropolitan area, aiming for regional economic development. Many of these metropolitan areas have experienced a dramatic increase in impacted area and economic loss from annual flooding. The issues and challenges emerging from transboundary river flood risk management have become a major concern for the Jakarta metropolitan area with a long river basin crossing several administrative jurisdictions. Previous studies have addressed the challenges of flood risk, but they have tended to overlook transboundary issues and power sharing. To tackle future flood events, this paper aims to unveil transboundary challenges and power sharing in flood management, learning from Ciliwung River. As the longest river basin crossing cities and regencies of Greater Jakarta, the complexity of Ciliwung flood risk management was driven by flood variables triggered not only by natural, physical, and socioeconomic factors, but also by transboundary challenges and power sharing. A total of 13 significant transboundary flood drivers were identified from the literature, policy, and practices. Using Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (MICMAC), a power–dependency model, several strategic key flood drivers were further recognized based on key stakeholders' perspectives obtained from in-depth interviews and focus group discussions (FGDs). Findings of the study show that a lack of control of spatial plans and weak stakeholder coordination–cooperation are found to be the priority key flood drivers for risk reduction intervention. Finally, this study contributes to the literature on governance of flood risk management by emphasizing the need for a coordinated and integrated approach to mitigate flood risks that extend beyond administrative boundaries, enhancing overall resilience and sustainability.
... Participants assign priority ratings to each idea. The final stage of the workshop aims to convert idea statements into objectives, which are then used to construct an interpretive structural model to reveal connections between different aspects of the issue [52]. ...
Background
In many parts of the world, men who have sex with men and transgender individuals face criminalization and discrimination. As a result, they are less likely to seek medical help, despite experiencing higher rates of HIV/AIDS, mental health issues, and other health problems. Reaching key populations (KPs) with essential testing, care, and treatment services can be challenging, as they often have a higher likelihood of contracting and spreading the virus. They have limited access to antiretroviral (ARV) therapy (ART) services, which means that KPs may continue to serve as reservoirs for new HIV infections if they do not receive effective HIV programming. This ongoing issue complicates efforts to control the epidemic. Therefore, modeling a digital health system to track ARV medication access and use is crucial. This paper advocates for the use of digital interventions to manage the health of KPs in underserved regions, using Nigeria as a case study.
Objective
This study aims to assess digital health interventions for monitoring medication and consultations among transgender people in underserved communities. It also sought to determine whether a system exists that could support ART adherence in Nigeria. Additionally, the study evaluated design strategies to address privacy and confidentiality concerns, aiming to reduce nonadherence to ARV medications among KPs in Nigeria.
Methods
A qualitative approach was adopted for this research, involving a thematic analysis of information collected from interviews with clinicians and other health practitioners who work directly with these communities, as well as from an interactive (virtual) workshop.
Results
The findings from the thematic analysis indicate a need to increase attendance at ART therapy sessions through the implementation of an intensive care web app. Unlike previous solutions, this study highlights the importance of incorporating a reminder feature that integrates with an in-app telemedicine consultancy platform. This platform would facilitate discussions about client challenges, such as adverse drug effects, counseling sessions with clinical psychologists, and the impact of identity discrimination on mental health. Other data-driven health needs identified in the study are unique drug request nodes, client-led viral load calculators, remote requests, and drug delivery features within the web app. Participants also emphasized the importance of monitoring medication compliance and incorporating user feedback mechanisms, such as ratings and encouragement symbols (eg, stars, checkmarks), to motivate adherence.
Conclusions
The study concludes that technology-driven solutions could enhance ART adherence and reduce HIV transmission among transgender people. It also recommends that local governments and international organizations collaborate and invest in health management services that prioritize health needs over identity.
... Participants then assign a priority rating to each idea. The goal of the workshop's final stage is to turn idea statements into objectives, which will be used to build an interpretive structural model (ISM) to reveal connections between various aspects of the issue (Attri et al. 2013). ...
This research evaluates the usability of the ECHO Early Warning System (E-EWS), a cybersecurity information-sharing platform developed under the EU's H2020 Research and Innovation Programme. The study aims to identify potential usability challenges and propose improvements to enhance the user experience. A mixed-methods approach is employed, integrating the System Usability Scale (SUS), NASA Task Load Index (TLX), Interactive Management (IM), and Cognitive Walkthrough (CW) techniques to assess user satisfaction, workload, and system functionality. Findings indicate moderate usability with areas needing improvement, such as domain input validation, interface clarity, and task simplification. The study concludes with actionable recommendations to optimize the system's design for better usability and effectiveness, thereby supporting the E-EWS in its mission to facilitate efficient cyber threat information exchange among trusted partners.
... Interpretive Structural Modelling (ISM) has gained attention in human resource research for its ability to provide a comprehensive understanding of how systems work and how different factors interact [45][46][47]. However, [48] and [25] have highlighted limitations in ISM, prompting us to explore alternative approaches. To address these limitations and contribute to existing literature, we propose using Total Interpretive Structural Modelling (TISM) as an extension [21,25]. ...
BACKGROUND: Existing literature lacks in-depth analyses and identification of barriers to implementing HR practices that affect employee health and well-being, especially during and after the pandemic. Moreover, existing studies primarily focus on large organizations with generic HR contexts. Therefore, this research contributes by evaluating the contextual relationship between barriers to implementing pandemic Human Resource Management (HRM) practices in Indian manufacturing SMEs. OBJECTIVE: The post-pandemic landscape has necessitated a reevaluation of Human Resource (HR) practices, particularly in terms of employee health and well-being while balancing organizational performance goals. This study seeks to identify and evaluate the significant barriers hindering the implementation of re-designed HR policies, focusing on Small and Medium-sized Enterprises (SMEs) in the manufacturing sector in developing countries during and after the pandemic transition. METHODS: The study initially identified ten barriers through a thorough literature review, which was then validated by experts. Subsequently, the interrelationships among these barriers were explored, and their structural hierarchy was established using the Total Interpretive Structural Modelling (TISM) approach. Additionally, a MICMAC (Matriced Impact Croises Multiplication Applique) analysis was performed to assess the driving-dependence power of each barrier. RESULTS: “Manager’s resistance to change” and “employee’s resistance to change” were found to be highly dependent on the other identified barriers. Among these, “lack of skilled managers at affordable costs” and “implementation expenses of new normal HRM practices” emerged as the most critical barriers, with the potential to impact all other barriers in the implementation of re-designed policies. CONCLUSIONS: The study helps owners of manufacturing SMEs and managers to understand the significant barriers to implementing HR policies, particularly in frequent pandemic situations for enhancing employees’ health and well-being while ensuring organizational performance. The planned framework might make it easier for practitioners and decision-makers to comprehend how the various implementation barriers relate to one another. The study’s focus on Indian manufacturing SMEs limits the generalizability of findings to other contexts. Reliance on expert opinions introduces bias, and further validation through empirical research is needed.
Sumberdaya wilayah pesisir dan laut Teluk Depapre khususnya di Kampung Tablasufa sangat besar dan beragam potensinya yang dapat dioptimalkan bagi peningkatan kesejahteraan masyarakat. Di sisi lain, sumberdaya tersebut sudah mulai terdegradasi dengan berbagai persoalan yang sangat kompleks. Oleh karena itu, sumberdaya tersebut memerlukan pengelolaan yang lestari dan berkelanjutan. Tujuan kegiatan ini adalah memberikan penyuluhan dan pelatihan kepada Pemerintah Kampung dan stakeholder dalam mengenali potensi sumberdaya pesisir dan laut yang dimiliki, isu dan permasalahan serta membantu menyusun rencana strategis pengelolaan terpadu dan berkelanjutan. Sebagai lembaga di tingkat lokal yang memiliki peran dan tanggung jawab dalam menyusun rencana strategis kampung, pemerintahan kampung diharapkan dapat memahami dan menyusun rencana strategis pengelolaan pesisir dan laut terpadu dan berkelanjutan. Materi yang diberikan antara lain pengenalan isu dan permasalahan pengelolaan sumberdaya pesisir dan laut, teknik identifikasi kondisi internal (kekuatan dan kelemahan) dan ekternal (peluang dan ancaman). Kegiatan ini pada dasarnya adalah penerapan pengelolaan pesisir terpadu yang melibatkan Aparat Pemerintahan Kampung dan masyarakat dalam pengelolaan sumberdaya pesisir dan laut.
Perairan pantai utara Papua memiliki potensi kawasan terumbu karang, namun ironisnya pada beberapa tempat telah mengalami kerusakan sehingga perlu direhabilitasi dengan melakukan transplantasi. Pelaksanaan kegiatan ini dilakukan dengan pendekatan partisipatif, dimana penyuluhan dilakukan dalam kelas dan praktek di lapangan dengan melibatkan mitra. Kemampuan mitra dalam melakukan transplantasi karang secara mandiri. Kegiatan ini dilakukan selama 6 bulan mulai dari persiapan, sosialisasi dan transplantasi. Kegiatan ini akan melibatkan sebanyak 15 peserta yang berasal dari lembaga pemerhati lingkungan dan lembaga terkait seperti perwakilan Lantamal X, WWF ID, Dinas Kelautan dan Perikanan Provinsi Papua, Dinas Perikanan Kota Jayapura, Mollo Dive Community, Rumah Bakau, Octopus Diving Club, Pusat Studi Sumber Daya Kelautan dan Perikanan Universitas Cenderawasih. Materi pelatihan yang disampaikan sangat menarik karena 1) mudah dipahami karena menggunakan bahasa yang mudah dipahami; 2) sangat baik karena didisertai dengan gambar dan video-video yang menarik; 3) sangat bermanfaat karena sesuai dengan kondisi di lapangan; dan 4) cukup lengkap karena disajikan secara rinci. Selain itu, kegiatan ini kegiatan ini telah menjadi berita pada berbagai media seperti media cetak SKH Cenderawasih Pos, media online Tempo Witness dan Betahita.
As the intensity of flood disasters in old communities continues to escalate, the resilience of flood disaster response networks (FDRNs) is under growing threat. Addressing this pressing challenge, this study develops an enhanced framework integrating Dynamic Network Analysis (DNA) and Interpretive Structural Model (ISM) to systematically elucidate the factors and mechanisms that influence FDRN resilience. This framework first employed DNA to conceptualize the complex flood disaster response as the ‘A-T-R-I’ dynamic network, delineating interrelationships among stakeholders, tasks, resources, and information. Subsequently, ISM was utilized to analyze the
mechanisms that affect FDRN resilience. Validation of this framework through a case study of the Y community in Xuzhou City of China led to the development of a five-level ISM model, clarifying the interconnections between 10 critical FDRN nodes and 12 determinants of the FDRN resilience. Moreover, strategies for enhancing FDRNs resilience were provided, and the advantages of the enhanced DNA-ISM framework were highlighted. Overall, this study not only enriches the knowledge system of community resilience but also offers actionable guidance for decisionmakers to develop resilient flood response networks, highlighting a globally applicable framework to enhance community resilience against flood disasters.
The last mile is often subjected to unique challenges such as congested urban areas, unpredictable customer availability and the need for personalized services. To address these complexities, and to be competitive in the market, companies are increasingly turning towards innovative solutions. One such innovative solution is crowdshipping (CS). The concept of CS was first introduced by Walmart in 2013, where store customers may act as crowdshippers and fulfill the demands of online retailers or shops by transporting packages on their way home with guaranteed compensation. To understand the factors influencing CS and its potential to motivate logistics firms for delivery, this research work determines the 20 key sustainable and resilient factors affecting the adoption of CS in the e‐commerce logistics sector. Furthermore, the Neutrosophic Best‐Worst Method (NBWM) is employed to prioritize these factors, followed by the application of Neutrosophic Interpretive Structural Modeling (NISM) with cross‐impact matrix multiplication applied to classification (MICMAC) analysis to assess the interrelationships amongst the factors. The results of the NBWM reveal that technology for the successful implementation of CS, rating and reward system, delivery cost–time efficiency, CO 2 emissions and service quality are the top five highly weighted factors. The results of NISM dictate the technology for the successful implementation of CS, integration of CS with the mainstream (operations research models), government interventions and the usage of back‐up drivers as the factors with the highest driving power. The proposed NBWM and NISM give direction to practitioners and policy managers in planning sustainable and resilient strategies for addressing CS implementation factors in the e‐commerce logistics sector. Further, competent strategies can be developed by the managers based on the prioritization and the driving and dependence power of CS adoption factors.
Abstract
Ergonomic problems have increased at a considerable rate in manufacturing industries. Failure to practice ergonomic principles and workplace design are the main causes. Poor ergonomic awareness and failure to monitor ergonomic practices magnify the problem in developing countries. Different barriers to ergonomics implementation cause ignorance of ergonomics/human factors and affect employee safety and productivity. This study intends to evaluate ergonomic implementation barriers in Ethiopian apparel industries. Five hundred apparel industries from industry parks and other apparel industries in and around the capital were selected through judgmental sampling techniques. Data were analyzed using covariance-based structural equation modeling (CB-SEM) using AMOS version 21. Ergonomic awareness, lack of resources, management commitment and unsupportive organizational culture hinder ergonomic implementations. This study provides insight for policymakers and manufacturing industries to make decisions about ergonomics implementation.
Keywords: ergonomics, implementation barriers, workplace discomfort, accidents awareness
Access to capital for farmers requires the intermediation function of Islamic financing amidst high business risks. The research aims to identify the appropriate construction of Islamic financing products in the agricultural sector to increase access to capital in the agricultural sector in Indonesia. The research method uses the Interpretative Structural Modeling (ISM) Analysis model. The study of Islamic agricultural financing was carried out with 3 structural elements namely purposes, constraints and policy recommendations. The findings of the research results establish 3 policy clusters. First, the construction of a parallel greeting contract model between Islamic Banking, Rice Mills, and Agents in the Warehouse Receipt System scheme. Second, strengthening farmers' access to Islamic financial institutions and adjusting Sharia financial contracts in farming capital at the central and regional levels. Third, Islamic Cooperative microfinance institutions and financial arrangements for Islamic financing in the agricultural sector. This research recommendation provides valuable insights and practical solutions for implementing Islamic financial products with an agribusiness system approach based on feasibility studies of financial arrangements and risk mitigation for agricultural financing.
Objective
To identify the principal factors influencing the implementation of high‐value healthcare performance evaluation and to examine the interrelationships among these factors.
Background
Value‐based health care (VBHC) is gaining momentum as a model that focuses on improving patient outcomes. However, there is still a lack of understanding of the multifaceted factors that contribute to its successful implementation.
Design
Theoretical modelling and mixed research methods.
Methods
First, this study constructed a framework of influencing factors on the implementation of VBHC performance evaluation based on the Technology‐Organization‐Environment model. Second, a representative set of influencing factors for healthcare performance evaluation was identified. The implementation of performance evaluation was identified based on a literature analysis and a case study in China. Finally, experts were invited to assess the relevance of the aforementioned influencing factors, and the collected data were analysed using Interpretative Structural Model. The PRISMA‐ScR checklist guided the reporting of this study.
Results
We initially constructed the theory framework with the objective of categorising and summarising the influential factors and potential problems revealed in the implementation of patient VBHC performance evaluation in general hospitals. Subsequently, 15 key factors were identified through interviews with 10 experts. Then, a six‐level hierarchy was developed to construct a visual structure diagram, the purpose of which was to clarify the hierarchy of roles of each influencing factor. Finally, we categorise the influencing factors into four clusters based on their driving power and dependency within the system.
Conclusion
The insights from this research will assist hospital managers in identifying and prioritising the key factors that influence high‐value healthcare performance.
Relevance to Clinical Practice
This study provides a reliable pathway reference for clinical and nursing performance value enhancement and provides important insights into resource allocation and decision‐making for clinical practitioners.
Patient or Public Contribution
No patient or public contribution.
Purpose
Carbon emissions trading is an effective instrument in reducing greenhouse gas emissions. There is a notable scarcity of comprehensive reviews on the modelling techniques within carbon trading research in construction.
Design/methodology/approach
This paper reviews 68 relevant articles published in 19 peer-reviewed journals using systematic search. Scientometric analysis and content analysis are undertaken.
Findings
Generally, China was the largest contributor to carbon trading research using quantitative models (representing 36% of the total articles). From the results, the modelling techniques identified were multi-objective grasshopper optimisation algorithm; system dynamics; interpretive structural modelling; multi-agent-based model; decision-support model; multi-objective chaotic sine cosine algorithm; optimised backpropagation neural network; sequential panel selection method; Granger causality test; and impulse response analysis. Moreover, the advantages and disadvantages of these techniques were identified. System dynamics was recommended as the most suitable modelling technique for carbon trading in construction.
Originality/value
This study is significant, and through this review paper, practitioners can easily be more familiar with the significant modelling techniques, and this will motivate them to better understand their uses.
Following the aftermath of the COVID‐19 pandemic, small and medium‐sized enterprises (SMEs) have faced growing challenges that underscore the critical need for enhanced organizational resilience. This study aims to bridge the gap in resilience research by offering a structured and practical decision‐support tool to enhance the resilience of SMEs. Adopting a multiple‐criteria decision analysis (MCDA) approach, combining value‐focused thinking (VFT), and interpretative structural modeling (ISM), the study identifies and prioritizes key initiatives and factors affecting SME resilience. Specifically, using a constructivist, process‐oriented methodology, we engaged an expert panel from diverse sectors, including technology, manufacturing, and services, to collaboratively develop a group cognitive map and an interpretive model that guide resilience‐building efforts. The findings highlight a hierarchy of resilience determinants, offering actionable insights for SME managers to structure and implement targeted resilience‐enhancing strategies. The originality of this study lies in its dynamic decision‐support approach, tailored specifically for SMEs, which is particularly relevant in today's volatile, post‐pandemic business environment. The results provide a significant contribution to the field by addressing critical gaps in SME resilience research and offering practical tools for organizational planning.
This study is a comprehensive examination of the complex challenges that encumber the adoption of Industry 4.0 in the Indian dairy sector. Using De-matel and Interpretive Structural Modelling (ISM), it identifies and analyses the hierarchical influence of various barriers. These barriers, such as unfamiliarity with Industry 4.0 technologies, high implementation costs, resistance to change, a shortage of skilled labour, cybersecurity risks, integration and compatibility issues, unclear return on investment, lack of standardisation, and the complexity of implementing Industry 4.0 solutions are not simple issues to be addressed individually. They are interconnected, with knowledge and comprehension gaps being foundational. The ISM technique reveals top-level barriers such as insufficient government support and policies and the complexity of managing Industry 4.0 solutions. The study concludes that a comprehensive strategy is needed to address these interrelated obstacles to facilitate Industry 4.0 adoption in the dairy industry, underscoring the complexity and urgency of the issue.
One of the important issues in the field of safety management is effective human error prevention education for on-site staff. Currently, many sites not only provide basic human error response training such as confirmation and thorough implementation of basic actions, but also various education methods such as work improvement that takes human factors into consideration, active follow-up with team members, and communication methods that lead to accurate reporting, contact, and consultation. However, the effectiveness of such human error prevention education has only been measured qualitatively.Therefore, this study focused on the engagement of workers and examined a method to multifacetedly evaluate each trainee's attitude toward safety activities before and after the course, including the individual characteristics of the workers (personality such as personality analysis). A questionnaire was designed with work engagement, personal engagement, burnout, employee engagement, psychological safety, personality (Big Five theory), and attributes (job type, position, years of experience) as basic parameters, and a model was created using machine learning to evaluate the following four main factors based on the answers. The four main factors are: (i) loyalty to work, (ii) desire for growth, (iii) desire to contribute to the company, and (iv) sense of happiness (well-being). These indicators were evaluated on a 10-point scale. The effectiveness of the method for measuring the effectiveness of on-site human error prevention training based on the employee engagement index obtained in this study was verified through a survey at several hospitals in Japan. However, there are cases where the effectiveness measurement is unclear, and we are currently continuing to improve the accuracy by expanding the data.
Este documento presenta el componente metodológico asociado al proyecto en desarrollo : El Factor Cultural en la Gestión Ambiental de la Universidad Sergio Arboleda, desarrollado por la alianza investigativa de investigadores (as) de la Línea marino costera y portuaria del grupo de investigación Joaquín Aarón Manjarres , adscrito a la Escuela de Derecho de la seccional Santa Marta , y del Grupo de investigación del Instituto de Estudios y Servicios Ambientales IDEASA de la sede Bogotá. El objetivo de dicho proyecto es: Analizar de qué manera la presencia de diferenciales en la cultura ambiental de la Universidad Sergio Arboleda campus Santa marta y Bogotá, se constituye en una variable que incide en la eficaz implementación de sus políticas ambientales, a fin de generar lecciones aprendidas que orienten la incorporación de dicha variable en sus procesos de gestión ambiental y en la de contextos universitarios similares.
Purpose
The purpose of this study is to systematically dissect strategies against the challenges stalling digital transformation (DT) in the UK higher education (HE) sector. It addresses the challenges impeding DT’s incorporation and offers a blueprint for fostering innovation and efficiency within academic institutions.
Design/methodology/approach
Using a systematic literature review, the research integrates a nuanced literature review with interpretive structural modelling (ISM). Through meticulous ISM analysis, including sensitivity analysis and level partitioning, a robust framework is developed to pinpoint and interrelate DT challenges.
Findings
This investigation delineates a spectrum of impediments to DT in HE, most notably the need for more digital understanding among educators, intensified by inadequate support and resources. The findings reveal that the effective integration of DT is hindered by factors such as insufficient educator digital skills, resistance to technology and the continuous evolution of digital infrastructure.
Practical implications
The study’s findings and the developed level partitioning diagram offer invaluable insight into how DT must be integrated into the curriculum to enhance HE. Additionally, it could further lead to research within digital infrastructure and how learning needs to be facilitated for students in HE.
Originality/value
This study breaks new ground by systematically illuminating the centrality of the educator skill gap. By contributing insights into the educator skill gap, it proposes a unique analytical model that underscores actionable pathways for advancing DT initiatives in HE institutions.
In response to the ever-evolving business environment, industries have adopted flexible systems throughout their supply chains as a critical strategy for survival and growth. This study aims to identify the key factors of supply chain flexibility, review the interpretive structural modeling (ISM) method, and propose a new leveling rule. The proposed rule considers not only the influence and dependence of elements but also the weight of factors, enhancing the accuracy of results and allowing for more precise interpretations. Through a literature review and content analysis, twelve supply chain flexibility factors were identified. The Delphi method, conducted over three rounds, was used to localize these factors in the automotive spare parts manufacturing industry. Data were collected via a questionnaire, with the statistical population consisting of specialists, managers, and experts in the studied system. The ISM method was employed to design the structural model, where key factors were initially leveled using the existing rule, followed by the proposed rule. Ultimately, the key factors were categorized into four groups using the dependence-influence diagram. The results revealed that demand management and product flexibility were the most influential factors in the automotive spare parts supply chain. It is recommended that industry managers focus on these factors. Additionally, while both leveling rules produced identical results, the proposed rule frees decision-makers from many of the time-consuming, error-prone tasks involved in structuring complex systems.
ResearchGate has not been able to resolve any references for this publication.