Technology agreement theories are mainly met on measuring the consumer adaption of new technologies. Those science acceptance believes were using to measure online buying intention by researchers. It maybe seen those hypotheses were directly focused on mechanics components while rejecting retailer, customer, medium and most additional macro characteristic engaged accompanying online buying. Hence, it is mandatory to study the capability to use electronics acceptance hypotheses to measure online purchasing goal. Main technology acceptance hypotheses were critically judged by considering their context used, concept and process adjustment with online buying to identify the uniqueness of each model.Results of the Evaluation habitual the technology agreement theories were directly used to measure science acceptance behaviour in an administrative context. Further it was confirmed the distinctnesses in contexts, theoretical ideas and processes between the peasant in an organization and online services. Finally, evaluation was habitual, and technology acceptance believes were directly used to measure technology agreement behaviour in an organizational circumstances. When comparing the worker in an organisational circumstances to the online services in online purchasing, skilled was a distinction in circumstances, concept, process, and theoretical facets. Therefore, it is impossible to directly measure connected to the internet purchasing goal using those technology agreement theories. Similarly, Innovation Diffusion Theory (IDT), the Unified hypothesis of acceptance and use of technology (UTAUT2) and the hypothesis of Reason Action (TRA) cannot be used measure online buying because individual customers were engaged with new electronics such as an connected to the internet game or email, and TRA requires a extreme level of volitional control. Therefore, it is essential to build a global model that evaluates connected to the internet purchasing while maximising the theoretical bases of earlier science acceptance.
Author(s) Details:
G. P. H. Kandambi,
Department of Information Systems, Faculty of
Management Studies, Rajarata University of Sri Lanka, Mihintale, Sri Lanka.
W.
M. J. I. Wijayanayaka,
Department
of Industrial Management, Faculty of Science, University of Kelaniya, Dalugama,
Sri Lanka.
Please see the link here: https://stm.bookpi.org/CABEF-V10/article/view/9635
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