Turkish adaptation and validation of the ethical decision-making competence scale by Sema Üstündağ, Nihan Durgu, Eda Özge Yazgan

“…Structural validity was analyzed using principal component analysis and confirmatory factor analysis, while internal consistency was assessed with Cronbach’s alpha. …”
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RaViT-AE: Unsupervised Anomaly Detection for Intelligent Cultural Heritage Monitoring Using Region-Attentive ViT Autoencoder by Dohyung Kwon, Jeongmin Yu

“…Additionally, the introduction of F-SSIM loss facilitates effective model learning by considering both structural similarities and high-level semantic differences between original and reconstructed images. …”
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Factors Influencing Generation Z’s Mobile Banking Adoption in Indonesia: Integrating UTAUT and DOI Theories by Pepi Lutfiyanah, Salsabila Hermanto Putri, Wiwit Sulistyowati

“…This study investigates the factors influencing the intention to use ‘mobile banking’ among Generation Z in Indonesia by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Diffusion of Innovation (DOI) theory. Data was collected from 301 Generation Z respondents, 78.4% of whom were female, using non-probability sampling techniques and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). …”
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Investigating the Adoption of Metaverse-Based Immersive Learning in TESOL by Saja Wardat, Mohammed Akour

“…The present study explores the effects of constructs such as Perceived ease of use (PEU), Perceived usefulness (PUS), Attitude (ATT), Subjective norm (SBN) and Perceived behavioural control (PBC) on students' Intention to Use Metaverse (IUM) in TESOL context. Data collected from 736 university students in Jordan were analyzed using structural equation modelling (SEM) with a combined Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) framework. …”
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Motivation in rural math education within general and special education settings by Haidee A. Jackson, Angela Starrett, Bryndle Bottoms

“…Structural analyses demonstrated intrinsic value significantly predicted math effort (β = 0.219) and STEM aspirations (OR = 1.45) only for students without IEPs, while no motivational constructs predicted outcomes for IEP students despite their stronger baseline expectancies. …”
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A PLS-SEM for ERP Adoption Readiness in Government Organizations: A TOEPP Conceptual Model by R. Wahjoe Witjaksono, Tri Kuntoro Priyambodo, Mardhani Riasetiawan

“…Based on data from 268 local government employees, the findings show that the five TOEPP constructs have a significant effect on ERP readiness. …”
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Building a triadic model of technology, motivation, and engagement: a mixed-methods study of AI teaching assistants in design theory education by Anlan Wang, Xingting Wu

“…Results from Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) show that communication quality, perceived competence, task-technology fit, and school support are key predictors of engagement. …”
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Private Sector Hospitals' Response to Changes in Demand for Health Insurance in Arab Countries by Vivian Nasiruddin

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A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…However, China is a large coal mining country, and some railways inevitably pass through the coal mining influence areas, seriously threatening the structural health of the railways. The probability integral method (PIM) is an official prediction model for mining subsidence in China, while it is difficult to accurately predict the subsidence boundary of a mining area, and cannot scientifically and accurately evaluate the impact of coal mining on the deformation of coal transportation railways passing through the boundary, lacking effective guidance for railway protection. …”
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Bridging gaps in InsurTech and e-commerce integration: Insights from Saudi Arabia by Laith Khrais

“…Structural equation modeling revealed that application programming interfaces (β = 0.78, p = 0.020), artificial intelligence (β = 0.70, p = 0.025), and real-time risk assessment (β = 0.62, p = 0.030) significantly facilitate integration, while cybersecurity vulnerabilities (β = 0.57, p = 0.035), outdated infrastructure (β = 0.54, p = 0.040), and regulatory misalignment (β = 0.57, p = 0.035) pose major barriers. …”
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Examining the impact of job crafting, work-life balance, and procrastination on performance enhancement by Dorothea Wahyu Ariani

“…The relationship model was tested using structural equation modeling with a two-step approach. …”
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RECYCLING LOCAL INDUSTRIAL WASTES FOR PRODUCTION OF GREEN CONSTRUCTION MATERIALS by Alaa El-Din Sharkawi

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The Taliban Strategic Model of the Second State Building in Afghanistan by Abdolreza Alishahi, Neda Hasanpuor, Karam Sina

“…Quantitatively, to evaluate the model, a researcher-made questionnaire with available sampling method was distributed among 90 people from the samples. The data were analyzed in the qualitative part with the qualitative method of database theory and MAXQDA10 software, and in the quantitative part with the method of structural equations, partial least squares algorithm with SMART PLS software. …”
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The mediating role of organisational commitment on the relationship between succession planning practices and business performance by William Makumbe, Aida Kamupini, Leon Jackson

“…Research design, approach and method: This study adheres to the positivist paradigm and employs a quantitative approach. Data were systematically collected from 250 participants and analysed using Structural Equation Modelling. …”
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Shared cognitive impairments and aetiology in ADHD symptoms and reading difficulties. by Celeste H M Cheung, Alexis C Frazier-Wood, Philip Asherson, Fruhling Rijsdijk, Jonna Kuntsi

“…<h4>Methods</h4>We performed multivariate structural equation modelling analyses on parent and teacher ratings on the ADHD symptom domains of inattention and hyperactivity, parent ratings on RD, and cognitive data on response inhibition (commission errors, CE), reaction time variability (RTV), verbal short-term memory (STM), working memory (WM) and choice impulsivity, from a population sample of 1312 twins aged 7-10 years.…”
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Effects of perceived value dimensions on customer brand loyalty towards luxury cars by E.P. Femina, P. Santhi

“…The construct measurements have been adopted from previous research studies. Structural equation modeling with the partial least square (PLS) technique was used to analyze the measurements and conceptual model. …”
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AUDIT ATTRIBUTES AND FINANCIAL REPORTING QUALITY OF NIGERIAN DEPOSIT MONEY BANKS: THE MODERATING EFFECT OF GOING CONCERN by Johnson Kolawole OLOWOOKERE, Fatima Imike MBAH, Bolarinwa Rotimi FERUKE, Blessing Onyi AKINDE

“…An ex-post facto research design was employed on a population consisting of 23 banks. 13 banks were purposively selected for a period 10 years ranging from 2013-2022. Data used for this study was analyzed using descriptive statistics and structural equation modeling. …”
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Cultivating knowledge: the adoption experience of learning management systems in agricultural higher education by Seyed Mohammad Javad Sobhani, Omid Jamshidi, Zahra Fozouni Ardekani

“…This study analyzed survey data collected from agricultural students in Iran (N = 385) using structural equation modeling (SEM).ResultsThe findings indicate that the technological context of LMSs significantly influences both perceived usefulness and perceived ease of use, while the environmental context only affects perceived usefulness. …”
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Effects of SNSs use and social intelligence on users’ subjective well-being by Thac Dang-Van, Wong Ming Wong, Thinh Truong Vu

“…Design/methodology/approach – This study utilizes multivariate techniques, including SPSS and partial least squares structural equation modeling with SmartPLS software, to analyze data from a sample of 299 users across various SNSs in Vietnam. …”
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An analytical approach to assessing the spatial equity and allocation of healthcare resources in Shanghai by Hong-Yan Li, Jing Guo, Chuang-Hao Yang

“…These findings offer valuable insights for promoting the structural optimization and spatial distribution of healthcare resources in Shanghai.…”
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