Industrial Design / Endüstriyel Tasarım

Permanent URI for this collectionhttps://hdl.handle.net/11147/22

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Author: search.filters.author.Daim, Tuğrul U.Start date: 2020

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  • Article
    Citation - WoS: 17
    Citation - Scopus: 22
    Exploring the Factors Influencing Big Data Technology Acceptance
    (Institute of Electrical and Electronics Engineers Inc., 2023) Rahman, Nayem; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.; Başoğlu, Ahmet Nuri; 02.04. Department of Industrial Design; 02. Faculty of Architecture; 01. Izmir Institute of Technology
    Big Data has received great attention in academic literature and industry papers. Most of the experiments and studies focused on publishing results of big data technologies development, machine learning algorithms, and data analytics. To the best of our knowledge, there is not yet any comprehensive empirical study in the academic literature on big data technology acceptance. The statistical results of this model provide a compelling explanation of the relationships among the antecedent variables and the dependent variables. The analysis of the structural model reveals that the hypothesis tests are significant for 8 out of 12 path relationships. IEEE
  • Article
    Citation - WoS: 52
    Citation - Scopus: 61
    Factors Influencing Student Information Technology Adoption
    (Institute of Electrical and Electronics Engineers, 2023) VanDerSchaaf, Hans P.; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.; Başoğlu, Ahmet Nuri; 02.04. Department of Industrial Design; 02. Faculty of Architecture; 01. Izmir Institute of Technology
    Innovating service delivery in higher education by leveraging technology is central to supporting goals of transforming higher education to center on the needs of today's students. Aligned with these goals, this article identifies key determinants of student information technology adoption. Using a mixed-methods and empirical approach based on the Unified Theory of Acceptance and Use of Technology (UTAUT), a web-based survey was administered to undergraduate students at a public university in the Western United States to learn about their experiences with a web-based digital services platform (native mobile app and website), that aids students in accessing services and resources critical to maintaining their enrollment. Structural Equation Modeling, including Principal Components Analysis, was used to analyze 1841 valid survey responses and derive statistical results. The findings suggest that effort expectancy and social influence stand out as critical influences on behavioral intention to adopt the software for accessing university services, and new to UTAUT, that social influence and a students’ basic technology skills are significant determinants of effort expectancy. This article makes unique contributions to the research literature. It applies UTAUT to a higher education context to help explain the critical determinants of the adoption of software for accessing university services. It also provides insights for how UTAUT can be applied in the university setting and offers suggestions for enhancing UTAUT. IEEE
  • Article
    Citation - WoS: 51
    Citation - Scopus: 75
    Augmented Reality Technology Adoption: Case of a Mobile Application in Turkey
    (Elsevier, 2021) Yavuz, Merve; Başoğlu, Ahmet Nuri; Çorbacıoğlu, Eda; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.; Shaygan, Amir; 02.04. Department of Industrial Design; 02. Faculty of Architecture; 01. Izmir Institute of Technology
    With the increasing use of smart devices, augmented reality (AR) technology has become widespread in mobile devices. As with user interaction technologies, there are factors affecting the use of applications in mobile augmented reality (MAR) applications. In this study, the factors affecting the use of mobile augmented reality in Turkey are investigated. Although AR and MAR are generally investigated during the research period, “Augment”, the application, was used in the survey and interview parts of the research study. The interview consists of three different parts in addition to a quantitative experimental study. More than hundred variables were obtained from articles and interviews which 22 of them were selected. The results showed that the two most important factors that influence usage of MAR applications are security and privacy. These two are followed by ease of learning, visual quality of the application 3D model, and ease of use in importance, respectively. It is recommended that designers and application developers consider these five variables when designing or developing a MAR application. © 2021 Elsevier Ltd