Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Access Right: Open AccessAuthor: search.filters.author.Başoğlu, Ahmet Nuri

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Now showing 1 - 10 of 11
  • Conference Object
    Individual Adaptation Determinants and Themes for Environmental Resilience
    (IEEE, 2022) Kaplan, Gizem; Çorbacıoğlu, Eda; Başoğlu, Ahmet Nuri
    It is now an accepted fact that climate change is an event with increasing consequences and that we humans must do something about it. At this stage, the adaptation of individuals plays a key role. In this study, we searched for various behavioral theories and variables for our future study. With an S-question in-depth interview (7 people for sample size) and a survey of 68 actions (77 people for sample size), we investigated what subjects people tend to make changes in their daily lives. As a result, it has emerged that the tendency is to change the vehicles used in transportation. And the majority of the participants think that the partners who need to take action regarding the climate crisis are the service providers (states, NGOs, industry, and companies) rather than the consumers (individuals).
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 3
    Assessment of Human-Robot Interaction Between Householders and Robotic Vacuum Cleaners
    (IEEE, 2022) Yapıcı, Nur Beril; Tuğlular, Tuğkan; Başoğlu, Ahmet Nuri
    The study presented in this paper investigates the application of the Hybrid Model, which is the combination of the two strategies of the Built-to-Order Model and the Dynamic Eco-strategy Explorer Model, to robotic vacuum cleaners. The Hybrid Model aims to switch the market power from seller-driven perception to buyer-driven one by creating an individual perspective from the eye of users rather than traditional customer segmentation. The human-centered approach established theoretically has been tested with a determined procedure that includes prototyping, testing, and evaluating the proposed customization system for robotic vacuum cleaners to increase the interaction degree with purchasers. In this case, robotic vacuum cleaners have been chosen to implement and assess the hypothesis. Firstly, the successful prototyping of the Hybrid Model requires well customer analysis and habits determination to build well-constructed and coherent interaction between the purchaser and the robot. We utilized a content analysis of robotic vacuum cleaners and elaborative, conventional interviews with early adopters and early majority of this technology in Turkey to establish credible scenarios and product options during the phases of the Hybrid Model practice. The results of the interview were discussed, and the evaluations have been reported.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Application of Human-Robot Interaction Features To Design and Purchase Processes of Home Robots
    (Springer, 2021) Yapıcı, Nur Beril; Tuğlular, Tuğkan; Başoğlu, Ahmet Nuri
    Production of home robots, such as robotic vacuum cleaners, currently focuses more on the technology and its engineering than the needs of people and their interaction with robots. An observation supporting this view is that the home robots are not customizable. In other words, buyers cannot select the features and built their home robots to order. Stemmed from this observation, the paper proposes an approach that starts with a classification of features of home robots. This classification concerns robot interaction with humans and the environment, a home in our case. Following the classification, the proposed approach utilizes a new hybrid model based on a built-to-order model and dynamic eco-strategy explorer model, enabling designers to develop a production line and buyers to customize their home robots with the classified features. Finally, we applied the proposed approach to robotic vacuum cleaners. We developed a feature model for robotic vacuum cleaners, from which we formed a common uses scenario model.
  • 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; Daim, Tuğrul U.; Başoğlu, Ahmet Nuri
    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.; Daim, Tuğrul U.; Başoğlu, Ahmet Nuri
    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: 41
    Citation - Scopus: 65
    Adoption 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: 49
    Citation - Scopus: 52
    What 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.
  • Conference Object
    Citation - WoS: 1
    Design Study of a Medical Device
    (Institute of Electrical and Electronics Engineers Inc., 2017) Taşkın, Burcu; Başoğlu, Ahmet Nuri
    For the new product design in the medical industry, the designer's role is to identify requirements of product by focusing on the target need, demand and market supply. This research aims to explore the main problems of existing crutches in the medical industry with two phases; to identify the crutch design requirements by research and to define market position involving financial analysis with three economic scenarios. Therefore, the study based on a research with reutilize multiple techniques for walking aid design requirements through needs and demands, aims to discuss the collected data from different perspectives of medical experts, medical store owners and crutch users to create design criteria.
  • Conference Object
    Citation - WoS: 8
    Citation - Scopus: 10
    Exploring Adoption of Smart Glasses: Applications in Medical Industry
    (Institute of Electrical and Electronics Engineers Inc., 2017) Göken, Müge; Başoğlu, Ahmet Nuri; Dabic, Marina
    This research is a study exploring the utilization of smart glasses by physicians and their adoption to these products in medical industry. Although varied smart glasses were examined in the process by literature review, in whole work M100 was used as a physical product. In this research study, three research methods were applied. These are semi-structured in-depth interview, expert focus group work and experimental study 95 constructs were extracted from literature review and interviews by physicians. Approximately 40 most significant constructs were selected by physicians in the expert focus group work. At the end, 75 physicians answered a survey related with these 40 constructs. Furthermore, these constructs include the most significant design inputs of smart glasses for the expert group. The survey included approximately 50 questions. According to survey and results of multiple regression analyses; it is revealed that compatibility, ease of reminding, speech recognition and ease of use affect usefulness positively. Moreover, ease of learning, ease of medical education, external influence and privacy affect ease of use positively too. In addition, usefulness, ease of use affect attitude and attitude affects intention. To sum up, designers should focus on these design inputs at the first stage of product development process of smart glasses for physicians.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 7
    A 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.