Compiling the strategy plan using a hybrid of BSC – ISM by Mahboobeh Kazemi

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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

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Interpretative structural modeling for implementing the pelagic fish habitat suitability model in Palabuhanratu Bay and Its surroundings, West Java, Indonesia by Gilar Budi Pratama, Prihatin Ika Wahyuningrum, Mustaruddin Mustaruddin, Yeni Herdiyeni, Ronny Irawan Wahju, Tri Wiji Nurani

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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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A Model for Creating and Implementing Ambidextrous Innovation in Iranian Banking by Vahid Khashei Varnamkhasti, Sajad Farsi

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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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Barriers to Building Information Modeling (BIM) Implementation in Late-Adopting EU Countries: The Case of Portugal by Miguel Pereira Lourenço, Amílcar Arantes, António Aguiar Costa

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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

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Dynamic Mechanism of High Quality Development of National Fitness Public Service: An Analysis Based on Interpretative Structural Model by liang Deng, ZongQian Yang, LiZhen Shi, XiaoLing Huang

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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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Modelling Success Factors for Sustainable Growth of the Handicraft Industry in Extreme Weather Region by Vivek Balyan, Patanjal Kumar, Meghna Rathee

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Strategic Development of Point-to-Point Green Shipping Corridors: A Case Study Using the Interpretive Structural Modelling and Micmac Framework by Marijan Brubnjak, Alen Jugović, Miljen Sirotić, Goran Kolarić

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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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Strategy for Strengthening Arabica Coffee Agribusiness Institutions Through an Interpretative Structural Modelling Approach in South Sulawesi, Indonesia by Irmayani, Darmawan Salman, Abdul Azis Ambar, Ammang Latifah, Rafiah Nur, Muhammad Amri Rahman, Masnur

“…The analysis used is Interpretative Structural Modeling to analyze institutional relationships and identify strategic points for policy intervention to increase Arabica coffee production.  …”
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Factors affecting the adoption of industry 4.0 technologies in circular economy: interpretive structure modelling (ISM) approach for future sustainability by Rakesh Kumar, Vinay Kandpal

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Application of information technology in transportation operation: A benchmarking approach by ISM MICMAC analysis by Santosh Kumar, Sandeep Varshneya

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Circular economy: The future nexus for sustainable and resilient supply chains? by Maria Concetta Carissimi, Hameem Bin Hameed, Alessandro Creazza

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Exploring factors shaping consumer behaviour towards circular fashion: a focus on Generations Y and Z by Aya Abdelmeguid, Mohamed Afy-Shararah, Konstantinos Salonitis

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Designing Model and Levelization of the Factors Affecting Companies’ Green Financing through Banking System by Abbasali Sheikh, Parviz Saeidi, Ebrahim Abbasi, Arash Naderian

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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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