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Elaheh Yadegaridehkordi

Researcher at Information Technology University

Publications -  61
Citations -  1962

Elaheh Yadegaridehkordi is an academic researcher from Information Technology University. The author has contributed to research in topics: Computer science & Technology acceptance model. The author has an hindex of 19, co-authored 45 publications receiving 930 citations. Previous affiliations of Elaheh Yadegaridehkordi include National University of Malaysia & Universiti Teknologi Malaysia.

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Investigating influence of green innovation on sustainability performance: A case on Malaysian hotel industry

TL;DR: In this article, the authors investigated the factors influencing the adoption of green innovation, and its potential effects on the performance of the hotel industry, and determined the two factors of environmental and economic performance were determined to have the strongest influence, affecting green innovation procedures positively and significantly.
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Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels

TL;DR: In this article, the authors identify the important factors for hotel selection based on previous travelers' reviews on TripAdvisor and develop a new method for the use of Multi-Criteria Decision-Making (MCDM) and soft computing approaches.
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Affective computing in education: A systematic review and future research

TL;DR: A review of the literature on affective computing in education by selecting articles published from 2010 to 2017 is presented and recommendations for future research directions are provided to help researchers, policymakers and practitioners in the education sector to apply Affective computing technology more effectively and to expand educational practices.
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Big data adoption: State of the art and research challenges

TL;DR: According to the findings, Technology–Organization–Environment and Diffusion of Innovations are the most popular theoretical models used for big data adoption in various domains and forty-two factors in technology, organization, environment, and innovation that have a significant influence onbig data adoption are revealed.
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Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach

TL;DR: In this paper, a study aimed to identify and rank the significant factors influencing adoption of big data and in turn to predict the influence of big Data adoption on manufacturing companies' performance using a hybrid approach of decision-making trial and evaluation laboratory (DEMATEL)- adaptive neuro-fuzzy inference systems (ANFIS).