Factors Affecting the Intention to Use the Intelligent Personal Assistant
Chan-Woo Kim (chanwoo_kk@naver.com) and
Chang-Kyo Suh (ck@knu.ac.kr)
Additional contact information
Chan-Woo Kim: Kyungpook National University
Chang-Kyo Suh: Kyungpook National University
No 5807971, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Abstract:
An intelligent personal assistant (IPA) is a software agent that assists people to perform basic tasks or services for an individual, usually providing information via natural language. In spite of the versatile capabilities of the IPA to answer a user's simple information-based queries such as the weather and driving directions, the limited actual usage rates for the IPA services are reported so far. In this research, to evaluate the factors affecting the intention to use the IPA we develop the empirical model based on the technology acceptance model (TAM), innovation diffusion theory, and IS success model. Then, we collect the questionnaires from the actual users of the IPAs. Finally, the structural equation model validates the causal relationship between the constructs of the model. The major findings and suggestion for further research will be discussed in the conference in details.
Keywords: IPA; TAM; Innovation Diffusion Theory; IS Success Model (search for similar items in EconPapers)
JEL-codes: M10 M15 (search for similar items in EconPapers)
Pages: 1 page
Date: 2017-10
New Economics Papers: this item is included in nep-pay
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Published in Proceedings of the Proceedings of the 33rd International Academic Conference, Vienna, Oct 2017, pages 192-192
Downloads: (external link)
https://iises.net/proceedings/33rd-international-a ... =58&iid=035&rid=7971 First version, 2017
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:5807971
Access Statistics for this paper
More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova (iises@iises.net).