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DİRSEHAN, TAŞKIN

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DİRSEHAN

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TAŞKIN

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Now showing 1 - 4 of 4
  • PublicationOpen Access
    Modeling indices using partial least squares: How to determine the optimum weights?
    (2022-01-01) DİRSEHAN, TAŞKIN; DİRSEHAN T., Henseler J.
    © 2022, The Author(s).Indices are often used to model theoretical concepts in economics and finance. Beyond the econometric models used to test the relationships between these variables, partial least squares path modeling (PLS-PM) allows the study of complex models, but it is an estimator that is still in its infancy in economics and finance research. Thus, the use of PLS-PM for composite analysis needs to be explored further. As one such attempt, this paper is focused on the determination of the indices’ optimum weights. For this purpose, the effects of the market potential index (MPI) on foreign direct investment (FDI) and gross domestic product (GDP) were analysed by implementing different weighting schemes. The assessment of the model shows that PLS Mode B leads to better model fit.
  • PublicationOpen Access
    Smart city technologies from the perspective of technology acceptance
    (2022-09-01) DİRSEHAN, TAŞKIN; DİRSEHAN T., van Zoonen L.
    Most studies in the literature aim to discuss and examine the technologies in smart cities. Much less is known about the dynamics of their acceptance by citizens. Therefore, we conducted a systematic literature review of studies examining the acceptance of smart city technologies (SCTs), focussing particularly on Technology User Acceptance Models (TAM). Using a novel framework of SCTs based on the technology visibility and citizen interaction, we categorise them as individual-based explicit SCTs, collective-purpose explicit SCTs, digitising SCTs, and infrastructure SCTs. We assess that studies about citizen acceptation of SCTs have been mainly focussed on individual technologies. Also, the review shows that the field is nascent and fragmented, and that a wide variety of variables have been used to predict the adoption of individual-based explicit SCTs, with the classic ones of TAM (perceived use and perceived usefulness) unmistakably being relevant in the smart city context as well. As a result of the fragmentation of the field, our review was not yet able to identify generalisable knowledge about the acceptance of the smart city and its technologies by citizens. We end with some suggestions for future research approaches and designs.
  • Publication
    Role of mobile food-ordering applications in developing restaurants' brand satisfaction and loyalty in the pandemic period
    (ELSEVIER SCI LTD, 2021) DİRSEHAN, TAŞKIN; Dirsehan, Taskin; Cankat, Ece
    Retailers and their supply-chain partners should reconsider their competitive advantages in today's technologyenhanced environment and search for opportunities to collaborate. Mobile applications have emerged as a special form of e-commerce that provide convenience for consumers by saving time and effort. In the pandemic days, people prefer using mobile applications in particular to order food from restaurants and protect themselves from COVID-19. Even though there are many previous studies regarding mobile application usage, they have investigated the antecedents of mobile app adoption. Today, consumers already have adopted them, yet there is a need to understand the outcomes of mobile application usage, especially for mobile food-ordering apps (MFOAs). To fill this gap, this study first positions the MFOAs among other mobile food applications regarding their business models. Then, a structural model was developed and tested by focusing on the outcomes of MFOA usage. A survey of 217 participants was conducted, and the data were analyzed using partial least squares path modeling (PLS-PM). The main contribution of the results is the finding that MFOA satisfaction plays a critical role in developing restaurants' brand satisfaction and loyalty. Thus, brands should cooperate with MFOA providers.
  • Publication
    Examination of trust and sustainability concerns in autonomous vehicle adoption
    (ELSEVIER SCI LTD, 2020) DİRSEHAN, TAŞKIN; Dirsehan, Taskin; Can, Ceren
    The latest developments regarding autonomous vehicles (AVs) have drawn the attention of tech-savvy individuals and marketers. AVs are expected to cause a major change in the markets of vehicle selling, transportation and logistics. Therefore, it is crucial to understand consumer acceptance so that the companies in these markets can develop their penetration strategies accordingly and technology companies can shape their technology development strategies. This study aims to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns. This was achieved by expanding the technology acceptance model (TAM). A survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM). The results confirmed previous technology acceptance models by showing the relationships between perceived usefulness, perceived ease of use, and behavioral intention. Moreover, the direct and indirect effects of trust on behavioral intention were also shown. This study provides evidence to extend the TAM to the adoption of AVs by uncovering individuals' sustainability concerns.