Industrial Design / Endüstriyel Tasarım
Permanent URI for this collectionhttps://hdl.handle.net/11147/22
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Article Citation - WoS: 17Citation - Scopus: 22Exploring the Factors Influencing Big Data Technology Acceptance(Institute of Electrical and Electronics Engineers Inc., 2023) Rahman, Nayem; Daim, Tuğrul U.; Başoğlu, Ahmet NuriBig 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. IEEEArticle Citation - WoS: 52Citation - Scopus: 61Factors Influencing Student Information Technology Adoption(Institute of Electrical and Electronics Engineers, 2023) VanDerSchaaf, Hans P.; Daim, Tuğrul U.; Başoğlu, Ahmet NuriInnovating 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. IEEEArticle Citation - WoS: 41Citation - Scopus: 65Adoption Factors of Electronic Health Record Systems(Elsevier Ltd., 2019) Spatar, Daria; Kök, Orhun; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.The main goal of the study is to investigate the factors that affect adoption of EHR systems. The adoption has been looked at through four lenses: users' satisfaction, impact on quality of care, infusion and diffusion of the technology. The study incorporates the results of the most important studies in the field. The findings of the research allow decision-makers to select an EHR that better suits needs of the users, to choose a strategy to avoid users' resistance and lack of support. The study offers a comprehensive framework that can be used in different settings, i.e. small and large clinics, developing and developed countries, etc. Also it contributes to the state of knowledge, as it provides an extensive analysis of the factors, both system- and user-related, that affect user adoption and proves applicability of TAM in the healthcare settings.Article Citation - WoS: 49Citation - Scopus: 52What Will It Take To Adopt Smart Glasses: a Consumer Choice Based Review?(Elsevier Ltd., 2017) Başoğlu, Ahmet Nuri; Ok, Ali Emre; Daim, Tuğrul U.Wearable technologies have become a reality already. Their impact in some fields has already been seen. We explore the factors which are important and help the adoption of these technologies. Specifically we study the adoption factors of smart glasses. Technology adoption process depends on preferences and needs of people who use the systems under study. We explore these phenomenon through two frameworks: Product Characteristics and User Intention Characteristics. The purpose of the first framework is to examine the effects of smart glass design features; Stand-alone device, field of view, interaction, price, and display resolution on user preference through an experimental study and we use conjoint analysis. The second framework explore many more factors such as self-efficacy, anxiety, involvement, risk-task characteristics, enjoyment, usefulness, ease of use, attitude and intention. A web survey supplemented by visual aids was used.Article Citation - WoS: 6Citation - Scopus: 7A Study on the Relationship Between Task, Information, and Individual Performance(Elsevier Ltd., 2016) Çayır, Sinan; Başoğlu, Ahmet Nuri; Daim, Tuğrul U.The goal of this study was to find an abstract model that would address the relationship between information and task and thus lead to better business performance. The relationships among information, task, and performance are analyzed in the natural environment against job-related beliefs and technology. The final instrument was applied to professionals mainly from the Finance and Information and Communication Technology (ICT) sectors. Statistical analyses were used to quantify the relationships. The goal of the study was also to develop a model of task information fit (TIF). Results indicate that the tool has been successful and models the underlying structure between system characteristics, task characteristics, information characteristics, and their impact on perceived business success to some degree. A reduced TIF model was targeted to discover the relation between task characteristics, information characteristics, and their effect on business performance on a per-item basis. The correlations between the items supported the proposed relations.