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User Acceptance of 'Smart Products' : An Empirical Investigation

ISBN
978-1-4467-9236-0
Type
conference paper
Date Issued
2011-02-16
Author(s)
Mayer, Peter  
;
Volland, Dirk  
;
Thiesse, Frederic
;
Fleisch, Elgar  
Editor(s)
Bernstein, Abraham
Schwabe, Gerhard
Abstract
Smart Products pose a new class of IT artifacts based on sensors, ID-tags, haptic user interfaces, and other technologies usually subsumed under the notion of 'ubiquitous computing'. Such devices differ in many ways from traditional computers, e.g., with regard to their physical shape, computing power, and interaction paradigms. While a substantial body of literature already exists on underlying technological design challenges, only few researchers have attempted to quantitatively explore factors influencing user acceptance of Smart Products. Against this background, the present study is concerned with the use of Smart Products in a kitchen environment. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), we develop and empirically test a structural model of technology acceptance including five moderating factors. Our results indicate high overall acceptance of the proposed scenarios, corroborate the applicability of the UTAUT model for smart home environments, and confirm significant effects for two moderators
Language
English
Keywords
smart products
user acceptance
UTAUT
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
WI 2.011 Proceedings
Publisher
Lulu
Publisher place
Zürich
Volume
2
Start page
1063
End page
1072
Pages
10
Event Title
10th International Conference on Wirtschaftsinformatik (WI 2011)
Event Location
Zürich
Event Date
16.-18.02.2011
Official URL
http://www.zora.uzh.ch/60516/1/20120227114121_merlin-id_2354.pdf
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/94503
Subject(s)

information managemen...

Division(s)

ITEM - Institute of T...

Eprints ID
145231
File(s)
Thumbnail Image
Name

User Acceptance of 'Smart Products'_ An Empirical Investigation.pdf

Size

455.53 KB

Format

Adobe PDF

Checksum (MD5)

cc263ec43ec80a151e32108b910f6649

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