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Closing the Loop: An Empirical Investigation of Causality in IT Business Value
Published 2017“…We analyze seven years of panel data from 1,223 healthcare firms and present empirical evidence supporting our hypothesis. …”
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Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science
Published 2016“…At the turn of the century, however, it was clear that huge challenges—and new opportunities— lied ahead: the digital communication technologies, and their associated data deluge, began to nurture those models with empirical significance. …”
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Muslim Consumers’ Food Safety Behaviour and Religious Commitment: An Empirical Study in the UAE Context
Published 2023“…The collected data were analysed using the PLS-SEM software package. …”
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Dynamic properties of language anxiety
Published 2020“…In essence, language anxiety (LA) is part of a continuous complex system in which each state evolves from a previous one. …”
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Factors Influencing SMEs’ Adoption of Cloud Computing Services in Lebanon: An Empirical Analysis Using TOE and Contextual Theory
Published 2020“…A model is proposed, and data collected from 139 respondents working in SMEs in Lebanon and analyzed using confirmatory factor analysis and logistic regression in SPSS provide strong support for the model. …”
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Shifting global dynamics: an empirical analysis of BRICS + expansion and its economic, trade, and military implications in the context of the G7
Published 2024“…This paper analyzes the BRICS + and the G7 groups of countries, using long-term empirical data, to assess economic, trade and military metrics. …”
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Realizing opportunities: the influence of FinTech on the success of MENA banks
Published 2025“…The sample comprised 63 banks during the past 14 years (2010–2023). …”
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Digital transformation and its multidimensional impact on sustainable business performance: evidence from a meta-analytic review
Published 2025“…A total of 153 effect sizes from 44 empirical studies, comprising 17,284 observations, were analyzed using Comprehensive Meta-Analysis software and a random-effects model. …”
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What are artificial intelligence literacy and competency? A comprehensive framework to support them
Published 2024“…We also identify five effective learning experiences to foster abilities and confidences, and suggest five future research directions: prompt engineering, data literacy, algorithmic literacy, self-reflective mindset, and empirical research.…”
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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
Published 2024“…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …”
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Reimaging Public-Private Partnership Model as Hybrid: South Africa Viewpoint
Published 2021“…The research adopted a two-pronged qualitative data collection approach, utilizing semi structured interviews as well as case studies to obtain empirical evidence that was compared to secondary data on how PPP practices in South Africa can be enhanced. …”
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An investigation into the Impact of Operational Readiness Factors on the Success of Airports Projects in the UAE
Published 2017“…Statistical tools of SPSS/AMOS are employed to analyse the quantitative data collected from the questionnaire. In particular, statistical analysis was undertaken vi V7.0 Operational Readiness along with Structural Equation Modelling (SEM). …”
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Examining the Factors Influencing Autonomous Vehicle Use and its Impact on Environmental Sustainability in UAE using a Hybrid SEM-ANN Approach
Published 2024“…The systematic review analysed empirical studies published in the timeframe from January 2013 to January 2023, focusing on AVs adoption. …”
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A Multi-Dimensional Scale for Measuring Undergraduates Interest in STEM Disciplines
Published 2024“…To develop this scale, the study employs a cross-sectional quantitative design. The data collection process involved two phases for developing and validating the scale. …”
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The effect of stakeholder integration on open innovation in construction projects
Published 2017“…To ensure the validity, triangulation of three methods of data collection was obtained and rich and thick description of the three cases was provided. …”
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The Impact of Knowledge Sharing on Employee Retention
Published 2022“…This research contributes to the discussion of the complex issue of employee retention in developing countries such as Lebanon and the middle east. …”
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masterThesis
