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Explaining and Predicting Older Adult’ Continuance Intention toward SNSs: An Extension of the Expectation–Confirmation Model

Wei Liu
School of Information Technology, Jiangxi Key Laboratory of Data and Knowledge Engineering, Institute of Information Resources Management, Jiangxi University of Finance & Economics, Nanchang 360013, P. R. China
Abstract—Due to the rapid growth of social net services (SNSs), research into SNSs continuance has recently emerged as an important issue in information systems. This study develops an integrated model designed to predict older adults’ continuance behavior toward SNSs based on the expectation-confirmation model (ECM), the task technology fit (TTF) and the theory of planned behavior (TPB). The hypothesized model is validated empirically using a sample collected from 232 older adults who had prior experience with SNSs and was tested against the proposed research model using structure equation modeling. Analysis results demonstrate that satisfaction has the most significant effect on older adults’ continuance intention, followed by perceived usefulness and ttf. Furthermore, the two components of the TPB, subject norm and perceived behavioral control, also have a significant impact on SNSs continuance intention. Overall, this study provides evidence that an integrated model has a better explanatory power of older adults’ SNSs continuance compared to either model considered alone.

Index Terms—SNS, older adults, continuance intention, adoption model

Cite: Wei Liu, "Explaining and Predicting Older Adult’ Continuance Intention toward SNSs: An Extension of the Expectation–Confirmation Model," Lecture Notes on Information Theory, Vol. 2, No. 3, pp. 254-258, September 2014. doi: 10.12720/lnit.2.3.254-258
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