Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective
Chulmo Koo and
Namho Chung
Technological Forecasting and Social Change, 2014, vol. 88, issue C, 140-155
Abstract:
The purpose of this study is to examine the determinants of Smart Green IT adoption behavior. As opposed to IT adoption behavior, Smart Green IT adoption behavior has several distinct characteristics that are not typically found in general technologies. This study introduces self-determination theory to explain the causal relationship between users' motivations and Smart Green IT adoption behavior. The results show that eco-technological knowledge has a positive and significant impact on intrinsic motivation, integrated regulation, identified regulation, and introjected regulation. Intrinsic motivation has a positive and significant effect on four extrinsic motivations. Although the direct effect of intrinsic motivation on attitude was not significant, it did exert an effect on attitude that was mediated by identified regulation and external regulation. Our findings also show that two extrinsic motivations were significant. Attitude toward Smart Green IT use behavior was the primary predictor of continuous intention to use Smart Green IT. The effects of social influence and external regulations on continuous intention to use Smart Green IT were also significant.
Keywords: Smart Green IT behavior; Self-determination theory; Motivation; Smart device; Eco-technological knowledge; Social influence (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004016251400225X
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:88:y:2014:i:c:p:140-155
DOI: 10.1016/j.techfore.2014.06.025
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().