Identification of adopter categories for online banking in Turkey

Kavak, Bahtışen; Demirsoy, Canan

doi:10.1080/02642060902764228

Cited by 13 publications

(6 citation statements)

References 31 publications

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“…They found out that male participants were more innovative than the female participants. This finding is also consistent with the findings of Kavak and Demirsoy (2009) and Kilicer (2011). Kavak and Demirsoy (2009) investigated demographic and lifestyle characteristics of adopters of online banking services in Turkey.…”

Section: Discussionsupporting

confidence: 93%

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Rogers’ Diffusion of Innovation Model in Action: Individual Innovativeness Profiles of Pre-service Teachers in Turkey / Rogersov model difuzije inovacije u praksi: pojedinačni profili inovativnosti budućih nastavnika u Turskoj

Yüksel

2015

Croatian Journal of Education

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The purpose of the study was to determine adopter categories and individual innovativeness levels of pre-service teachers. Four hundred and twenty pre-service teachers from five different departments participated in the study. The application of Rogers' adopter measurement scale revealed that early pre-service teachers dominated the group of participants in the study. The study also revealed that department and gender of the participants made a significant difference in their innovativeness level. The majority of female participants were early majority whereas the majority of male participants were early adopters. The analysis showed that male participants were highly innovative as opposed to female participants. The study indicated that unlike Rogers' bell shaped, normal distribution of the adopter categories, the distribution in this study was positively skewed. The results support the idea that pre-service teachers, especially in some departments, need change in their perception of innovation. Evidence also suggests that Rogers' model of innovation decision process should be taken into consideration while planning the course objectives.

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Section: Discussionsupporting

confidence: 93%

“…This finding is also consistent with the findings of Kavak and Demirsoy (2009) and Kilicer (2011). Kavak and Demirsoy (2009) investigated demographic and lifestyle characteristics of adopters of online banking services in Turkey. They reported that male participants showed a higher tendency to accept innovations than female participants.…”

Section: Discussionsupporting

confidence: 93%

Rogers’ Diffusion of Innovation Model in Action: Individual Innovativeness Profiles of Pre-service Teachers in Turkey / Rogersov model difuzije inovacije u praksi: pojedinačni profili inovativnosti budućih nastavnika u Turskoj

Yüksel

2015

Croatian Journal of Education

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“…We also note that the B2B context and process innovations are overrepresented in the empirical setting of the medical, health and pharmaceutical sector as well as the agriculture and farming sector. Atkin et al, 1998Bergstrom and Hoglund, 2014Boyd and Mason, 1999Chiyangwa and Alexander, 2015Cho and Koo, 2012Evanschitzky et al, 2015Jin, 2013Kah et al, 2016Kauffman and Techatassanasoontorn, 2009Kavak and Demirsoy, 2009Lee, 2014Lin and Wu, 2013Loogma et al, 2012Moldovan et al, 2015Park and Yoon, 2005Sawng et al, 2013Stafford, 2003Svensson, 2014 Our second grouping strategy employed an inductive approach to allow the emergence of a generic set of variable categories. Repeated iterations between the data and the diffusion of innovations theory led us to propose four groups of variablessociodemographic, personality, behavioural, and resources -which essentially define the characteristics of the adopting unit, in other words, the individual.…”

Section: Resultsmentioning

confidence: 99%

Innovators and Early Adopters in the Diffusion of Innovations: A Literature Review

Dedehayir

Ortt

Riverola

et al. 2019

Digital Disruptive Innovation

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Despite accounting for a very small percentage of the population that adopts an innovation, the 'innovators' and 'early adopters'-representing the two earliest groups of individuals to acquire the new product or service-play a crucial role in the dissemination of the innovation to larger market segments. The objective of this paper is to understand the characteristics of these individuals that positively influence their decisions to adopt innovations. We argue that awareness of these traits will enable firms to attain speedier uptake of their offerings while aiding policymakers achieve quicker and wider proliferation of new technologies intended for societal benefit. We undertake a review of the literature studying the diffusion of innovations, and show future directions that this framework should take to analyse the adoption lifecycle.

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“…z. B. Porter & Donthu, 2006;Siyal, Chowdhry & Rajput, 2006;Weijters et al, 2007;Shin, 2009;Kavak & Demirsoy, 2009;Putzke et al, 2010) oder das Einkommen (Siyal et al, 2006;Shin, 2009;Putzke et al, 2010;Shih, 2013;Shin et al, 2018).…”

Section: Einfluss Des Chronologischen Alters Auf Die Adoption Technologischerunclassified

Der Einfluss des wahrgenommenen Alterns auf die Akzeptanz von Smart-Home-Technologien : Wirkung der Future Time Perspective auf das Technology Acceptance Model

Eichner¹

2021

Schriften Aus Der Fakultät Sozial- Und Wirtschaftswissenschaften Der Otto-Friedrich-Universität Bamberg

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Die bis dato eher verhaltene Nachfrage nach Smart-Home-Systemen gibt Anlass zu der Frage nach den maßgeblichen Adoptionsbarrieren. In Anbetracht des potentiellen Nutzens dieser Technologien für das Leben der Bewohner – besonders auch im fortschreitenden Alter – besteht darüber hinaus Forschungsbedarf, ob und in welcher Art sich das Alter(n) auf die Technologieakzeptanz auswirkt. Insbesondere sind auf subjektiver Wahrnehmung basierende Alterskonstrukte bisher kaum im Zusammenhang mit der Technologieadoption untersucht worden. Die Arbeit befasst sich mit den Determinanten der Akzeptanz von Smart-Home-Anwendungen seitens potentieller Übernehmer anhand populärer Theorien und Modelle zum individuellen Adoptionsverhalten und mit Blick auf die Einflusswirkung des chronologischen Alters bzw. des subjektiv empfundenen Alterns. Das gewählte Untersuchungsmodell basiert auf dem in der wissenschaftlichen Forschung weit verbreiteten und empirisch bewährten Technology Acceptance Model (Davis, Bagozzi & Warshaw, 1989). Zusätzlich werden alternativ externe Variablen in Form des chronologischen Alters bzw. der Future Time Perspective (Carstensen & Lang, 1996) einbezogen, um insbesondere die Wirkung auf den wahrgenommenen Nutzwert und die empfundene Einfachheit der Nutzung von Hausautomatisierung zu untersuchen. Betrachtetet werden zudem Mediator- und Moderatoreffekte hinsichtlich der nachgelagerten Einstellungsbildung und Übernahmeintention. Die Ergebnisse stützen die Hypothese, dass die subjektive Future Time Perspective (mit Blick auf die im Leben verbleibenden Möglichkeiten) einen größeren Erklärungsbeitrag zur individuellen Adoption von Smart Home-Systemen leisten kann als das chronologische Alter. The currently rather restrained demand for smart home systems raises the question of relevant adoption barriers. Given the technology’s potential benefits for residents’ lives, particularly with advancing age, there is a need to understand how age(ing) affects the acceptance of technology. Especially perceived age constructs have hardly been studied in technology adoption. The thesis investigates the determinants of smart home technology acceptance by potential adopters using popular theories and models of individual adoption behavior and moreover paying particular attention to the influence of chronological and perceived age. The research model is based on the widely used and empirically validated Technology Acceptance Model (Davis, Bagozzi & Warshaw, 1989), but integrates additional external variables to explore how chronological age and the Future Time Perspective (Carstensen & Lang, 1996) affect determining factors of home automatization acceptance. The effect on perceived usefulness and perceived ease of use is considered as well as mediator- and moderator-effects regarding downstream attitude formation and behavioral intention. The results support the hypothesis that the subjective future time perspective (focusing on opportunities remaining in life) has greater explanatory power for the individual adoption of smart home systems than chronological age.

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Identification of adopter categories for online banking in Turkey

Cited by 13 publications

References 31 publications

Rogers’ Diffusion of Innovation Model in Action: Individual Innovativeness Profiles of Pre-service Teachers in Turkey / Rogersov model difuzije inovacije u praksi: pojedinačni profili inovativnosti budućih nastavnika u Turskoj

Rogers’ Diffusion of Innovation Model in Action: Individual Innovativeness Profiles of Pre-service Teachers in Turkey / Rogersov model difuzije inovacije u praksi: pojedinačni profili inovativnosti budućih nastavnika u Turskoj

Innovators and Early Adopters in the Diffusion of Innovations: A Literature Review

Der Einfluss des wahrgenommenen Alterns auf die Akzeptanz von Smart-Home-Technologien : Wirkung der Future Time Perspective auf das Technology Acceptance Model

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