DocumentCode
1804222
Title
Implementation Intentions Explain How a Behavior Becomes Habitual: The Use of Online Newspapers
Author
Pahnila, Seppo ; Siponen, Mikko
Author_Institution
Dept. of Inf. Process. Sci., Univ. of Oulu, Oulu, Finland
fYear
2010
fDate
5-8 Jan. 2010
Firstpage
1
Lastpage
11
Abstract
The use of information technology (IT) has received much attention in the information systems (IS) literature. The large number of studies on IT adoption and technology acceptance has focused on intentional behavior, applying theories such as the Theory of Reasoned Action (TRA) and the Technology Acceptance Model (TAM). In recent years, technology acceptance models have been extended to cover habitual behavior. To our understanding, the current IS research on habits, despite its other merits, does not explain how a behavior becomes a habitual behavior. To this end, it is suggested in the psychological literature that the Theory of Implementation Intention explains this. That is, the psychological literature suggests that implementation intention leads to habitual behavior. In this study, we explored whether this applies to the use of online newspapers. Empirical results (N = 57) obtained through Structural Equation Modeling (SEM) suggest that implementation intention has a significant impact on self-report habits. Hence, our results show that intention leads to habit. This is a new contribution in IS, given that previous research in IS does not explain how behavior becomes habitual. Furthermore, our results show that prior behavior has a strongly significant effect on self-report habits and an insignificant effect on actual behavior (reading online newspapers). In addition, self-report habits were found to have a strong and significant effect on actual behavior.
Keywords
electronic publishing; information systems; information technology; psychology; habitual behavior; implementation intention theory; information systems; information technology; intentional behavior; online newspapers; psychology; reasoned action theory; structural equation modeling; technology acceptance model; Equations; Information processing; Information systems; Information technology; Numerical analysis; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2010 43rd Hawaii International Conference on
Conference_Location
Honolulu, HI
ISSN
1530-1605
Print_ISBN
978-1-4244-5509-6
Electronic_ISBN
1530-1605
Type
conf
DOI
10.1109/HICSS.2010.222
Filename
5428577
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