Predicting electronic service continuance with a decomposed theory of planned behaviour

By Meng Hsiang Hsu, Chao-Min Chiu. Behavior and Information Technology, 2004

472 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ec9d56a57ef634f4e011212193f7a5c5ae08e0a5

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

In Sociology and Political Science

Citations in the corpus

An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model (2010, background): “Many researchers have suggested that subjective norm is shaped by both interpersonal and external sources’ influences (Hsu & Chiu, 2004).”
Predicting consumer intentions to shop online: An empirical test of competing theories (2007, methodology): “For example, intention-based models, including the technology acceptance model (TAM) [5] [6], the theory of planned behavior (TPB) [7] [8], and the decomposed TPB model [9], have used to understand the determinants of consumer intentions to use Internet services [10] [11] [12] [13] [14] [15].”
Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective (2013, background): “…attention and is still extensively adopted in the prediction of IT usage, the theory has rarely applied in the context of continuance IT usage [35,36], and more speci ﬁ cally within the context of this research; i.e. the intentions for continuance participation and engagement in Facebook as…”
Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006, background): “, self-efficacy and/or outcome expectations, and computer use and Internet behaviors [23,40,39,50].”
Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information (2014, background): “…primary distinction between actual behavior and perceived behavior is that, given a sufﬁcient degree of actual control over the behavior, people are expected to carry out their intentions when obligatory opportunities and resources such as time, money, and skills are available (Hsu and Chiu 2004).”
A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior (2006, methodology): “Many studies (e.g., Mathieson, 1991; Liao et al., 1999; Venkatesh et al., 2000; Hsu and Chiu, 2004a) have replicated and investigated these three constructs and agreed that they are valid in explaining individual intention to use various ITs.”
The Relationship among Product Risk, Perceived Satisfaction and Purchase Intentions for Online Shopping (2020, background): “In this regard, due to the fact that perceived risk plays an important role in affecting the e-services adoption decision of users (Hsu & Chiu, 2004), they have focused on how perceptions of risk could moderate the usability influence.”
The role of task-technology fit as users' motivation to continue information system use (2009, background): “The third group consists of studies trying to integrate the originally proposed IS continuance theory (PAM) with complementary theoretical perspectives (e.g., Hsu & Chiu, 2004; Hsu, Chiu, & Ju, 2004; Mellarkod, Appan, & Browne, 2005; Liao, Chen, & Yen, 2007).”
Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, background): “…Use Intention H5 H6 H1 H3 H4 H7H2 H8 H9 H10 H11 H12 H13 D ow nl oa de d by M r A ri es S us an to A t 0 8: 51 1 0 M ay 2 01 6 (P T ) expectations and post-purchase performance after using the products or services based on experience (Oliver, 1980; Hsu and Chiu, 2004).”
The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology (2009, unknown): “Previous research supports such a positive relationship between intrinsic motivation and satisfaction (Meng-Hsiang & Chao-Min, 2004; Wirtz & Bateson, 1999).”
Understanding e-learning continuance intention in the workplace: A self-determination theory perspective (2008, methodology): “For example, subjective norm (Bhattacherjee, 2000; Taylor & Todd, 1995a; Venkatesh & Davis, 2000), perceived credibility (Ong et al., 2004), perceived risk (Hsu & Chiu, 2004a) and computing support and training (Venkatesh & Davis, 2000).”
The role of perceived user-interface design in continued usage intention of self-paced e-learning tools (2009, unknown): “Many recent longitudinal studies have employed TAM to examine post-adoption intention and/or behavior, too (e.g., Chen, Gillenson, & Sherrel, 2002; Hsu & Chiu, 2004; Karahanna, Straub, & Chervany, 1999 Brown, 2001; Venkatesh & Davis, 2000).”
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006, background): “ Hsu and Chiu (2004b) modelled post-purchase communications as interpersonal and external influences to predict electronic service continuance.”