Exploring opportunities and challenges of Blockchain-Based Electronic Medical records by Peyman Akhavan, Ebrahim Mahmoudzadeh, Maedeh Rahimi, Lila Rajabion

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Research on the Risk Factors and Promotion Strategies of BIM Application in China by Chao Tang, Chuxiong Shen, Shuai Han, Yufeng Zhang, Yuchen Gan

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Interpretive structural modelling of critical success factor for lean product lifecycle management in industry 4.0 by Nada El Faydy, Laila El Abbadi

“…The objective of our study is to examine the correlation between Lean/Industry 4.0 and PLM/I4.0 and to present an implementation model using the ISM (Interpretive Structural Modelling of Critical Success Factor) method of Lean-PLM in Industry 4.0. …”
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Study on Development Risk of Overseas Transportation Infrastructure under the New Form Based on Interpretive Structure Model by Liang Ou, Chongsen Ma, Yun Chen, Jing Zhang

“…This paper constructs the risk influencing factor model of overseas transportation infrastructure development risk in the new form from six aspects, that is, decision-making risk, design and planning risk, construction risk, operation risk, government risk, and force majeure, and uses the interpretative structure model and fuzzy comprehensive evaluation method. …”
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An AI-ISM Methodology for Structural Modeling of Sustainable Supply Chain Management Drivers by Reza Roshanpour, Mohammadreza Parsanejad, Mir Saman Pishvaee

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The Geometry of Concepts: Sparse Autoencoder Feature Structure by Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark

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Identifying the Soft Components of Digital Transformation and Designing the Model Resulting from them with the Method of Theme Analysis and Interpretive Structural Modeling by yasaman modaresi, Mir Ali Seyyed Naghavi, Habib Rood Saz, Iman Raeesi Vanani

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Designing a Model of Intangible Causes of Bankruptcy by TISM by Marzieh Mazaheri, leyla Safdarian, Mahnam Molaei

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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

“…This study addresses these concerns through a novel causal artificial intelligence framework employing structural causal models (SCMs) to interpret PM2.5 dynamics. …”
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The open sharing operation mechanism of health data in the digital healthcare era: A study based on grounded theory and interpretative structural modeling method by Xinping Huang, Siyuan Zhu, Zheng Lv, Qianwen Zhou, Tianqi Kou

“…Methods Innovatively employing grounded theory, this study meticulously examines the critical elements that influence health data sharing and provides a comprehensive explanation of its operational mechanisms through the Interpretive Structural Modeling – Cross-Impact Matrix Multiplication Applied to Classification model, delves into the operational mechanisms from three perspectives: the interest-driven and coordinated actions of multiple stakeholders, the open flow and secure sharing of the data ontology, and the internal support and external guarantees provided by the environmental context. …”
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Data Interpretation in Structural Health Monitoring: Toward a Universal Language by Magda Ruiz, Óscar Gualdrón, José A. Peral Mondaza, Luis Eduardo Mujica Delgado

“…Structural Health Monitoring (SHM) relies on the effective communication between sensors and diagnostic systems, yet data interpretation remains inconsistent and subjective. …”
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Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

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Network modeling of the intellectual competence structure by Yana I. Sipovskaya

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Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

“…The interpretability of machine learning reveals associations between input features and predicted physical properties in models, which are essential for discovering new materials. …”
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The method to develop classifi ers based on geometrical interpretation of data structure by М. N. Nessonova

“…The method allows developing mathematical models of algorithms for computing estimates. It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.…”
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An Interpretive Structural Model of Factors Influencing Successful Sports Customer Relationship Management: Drivers of CRM within the sports industry by Sajjad Pashaie, Geoff Dickson, Monika Piątkowska, Hamed Golmohammadi

“…To demonstrate the structural modeling of the identified drivers, we utilized a combined approach of the "Matrix of Crossed Impact Multiplications Applied to a Classification" (MICMAC) analysis and the Interpretive Structural Modeling (ISM) method, categorizing the drivers based on their driving and dependence power.Findings: The primary discovery is that a prompt response to customer complaints emerges as the most impactful driver in Sports Customer Relationship Management (SCRM), revealing a somewhat unstable SCRM system likely to undergo significant changes in the future. …”
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Structural Tectonic Scheme Creation Based on Seismic-Gravity Models and Isostasy Usage: Ural Case by Martyshko Petr, Ladovskii Igor, Byzov Denis, Tsidaev Aleksandr

“…Such separation of the mantle helps to diminish discrepancy between model and observed fields. In 3D case we suggest a method, which can be used to construct tectonic structure maps with information about approximate depth and height of each tectonic block.…”
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Measuring community resilience of flash floods using a multilevel interpretive structure model: Quantification and time-varying responses by Ming Zhong, Feng Ling, Weichen Zhong, Qian Zhang

“…This study carries out a research on disaster resilience and time-varying effects from the perspective of flash flood, and proposes a multidisciplinary integrated approach: (1) A multilevel interpretive structure model of the influencing factors of community resilience based on coupling decision mathematical model was constructed to analyze the differential influencing factors of community resilience; (2) The information diffusion method was used to quantitatively analyze and rank the community resilience of flash flood disasters; (3) Rand Index was used to quantitatively estimate the magnitude of community resilience and analyze the characteristics of its time-varying effect curve. …”
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Hubungan antar Hambatan Green Supply Chain Management (GSCM) pada Industri Kelapa Sawit di Indonesia by Rangga Primadasa, Dina Tauhida

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Emergency scenario modeling for the analysis of dynamic risks in business parks by Rodríguez Pillaga Renán Teodoro, Víctor A. Bañuls

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