Search

AbstractThe rise of live streaming learning attracts online learners, but research on e-learners’ post-adoption behavior and community relationships remains inconclusive. Departing from traditional explanations using flow theory to interpret behavioral patterns, this study draws inspiration from IT mindfulness, conceptualizing it as a second-order construct, interpreting e-learners’ abilities in dealing with technology, encompassing the understanding of potential technological applications in dynamic environments and the exploration and utilization of new IT functionalities. This study proposes an IT mindfulness-commitment model based on social exchange and social cognitive theory to elucidate the dedication-constraint relationship between e-learners and community members and further investigate the postadoption outcomes triggered by the commitment process in the context of live streaming learning. The results of PLS-SEM use a sample of 252 e-learners who had experienced the online live streaming courses. The results indicate that the commitment relationship of perceived dedication and constraint has positive effects on continuance intention and trying innovation at the post-adoption stage and is influenced by IT mindfulness and its two antecedents: virtual competency and social identity. We draw on these findings to offer implications for researchers and practitioners. [ABSTRACT FROM AUTHOR]

IntroductionLive stream-watching has become increasingly popular worldwide. Consumers are found to watch streams in a continuous manner. Despite its popularity, there has been limited research investigating why consumers continue to watch streams. Previously, the expectation-confirmation theory (ECT) has been widely adopted to explain users’ continuance intention. However, most current ECT-based models are theoretically incomplete, since they only consider the importance of perceived benefits without considering users’ costs and sacrifices. In this paper, we propose a value-based continuance intention model (called V-ECM), and use it to investigate factors influencing consumers’ continuance intention to watch streams.MethodsOur hypotheses were tested using an online survey of 1,220 consumers with continuance stream-watching experiences.ResultsResults indicate that perceived value, a process of an overall assessment between users’ perceived benefits and perceived sacrifices, is proved to be a better variable than perceived benefits in determining consumers’ continuance watching intention. Also, compared with other ECT-based models, V-ECM is a more comprehensive model to explain and predict consumers’ continuance intention.DiscussionV-ECM theoretically extends ECT-based studies, and it has potential to explain and predict other continuance intentions in online or technology-related contexts. In addition, this paper also discusses practical implications for live streaming platforms with regards to their design, functions and marketing.

This study proposes a conceptual framework for innovation post-adoption behavior. The model emphasizes that innovation discontinuance is not the end of the innovation diffusion process but one of the stages. The post-adoption process is portrayed in a manner analogous to Rogers's innovation adoption process, but depending on the type of discontinuance—intermittent or permanent—the respective decision-making process could be quite different. For intermittent discontinuers, the movement through different stages is cyclical, involving multiple stages: pre-evaluation, evaluation, preparation, discontinuance, post-action, and readoption. To provide support for the applicability of this framework, this study compares the post-adoption behavior between Twitter intermittent discontinuers and permanent discontinuers (N = 253). Survey results show that permanent discontinuers are more likely to seek and try out alternative SNSs, whereas intermittent discontinuers are more likely to search for solutions to reduce disturbance. Also, this study argues that Twitter readoption could be a planned or unplanned action. However, this readoption is generally a temporary decision to fulfill short-term needs and gratifications. It does not generate continuance commitment and loyalty to the platform. • The post-adoption decision-making process could be understood as a "disturbance-coping process.". • Permanent discontinuers are more likely to seek alternative SNSs; intermittent discontinuers are likely seeking solutions. • There are two levels of coping techniques: (1) reducing usage and taking breaks; (2) deactivating and deleting accounts. • Twitter readoption could be planned or unplanned, but neither generates continuance commitment. [ABSTRACT FROM AUTHOR]

Little is known about how older adults use and perceive mobile technology after their initial adoption. This study investigated older adults' post-adoption usage behavior and user perceptions regarding advanced mobile technologies. It also examined the relationships among usage behavior, user perceptions, user characteristics, and technology features. Specifically, user characteristics of demographic factors and user capabilities were examined using self-report and performance measurements. Technology features, usage behavior, and user perceptions were investigated using semi-structured interviews. The results indicated that for post-adoption behavior, older adults were still in the early adoption stage. They generally demonstrated positive attitudes toward mobile technologies but also reported the complexity of technologies. User characteristics, such as age, and capability of processing speed and attention, significantly influenced older adults' post-adoption usage behavior. Decreased visual abilities were observed to be critical factors related to older adults' perceived usefulness and perceived efficiency of mobile technologies. Technology features also presented some noteworthy problems that influenced older adults' perceived usability, particularly regarding navigation problems and icon design. This study provides a detailed understanding of how older adults use and perceive mobile technologies in the post-adoption phase from the perspectives of user characteristics and technology features to encourage further adoption. [ABSTRACT FROM AUTHOR]

Earlier mobile game studies have largely focused on the pre-adoption phase while ignoring the post-adoption behaviors. Additionally, while the intrinsic factor of enjoyment is often considered important in affecting game play, little research has attempted to understand its drivers. To fill these gaps, we examine the role of enjoyment as a motive for continual mobile game use, and the key antecedents of enjoyment. Applying our two-dimensional classification of artifact-related attributes, we adopt game design attributes of challenge, variety, novelty, and design aesthetics; and playability attributes of ease of use, and interactivity, and measure their impact on enjoyment, and its effect on continuance intention. The model is tested against 207 actual users of various mobile games. Structural equation modeling (SEM) is employed for data analysis. The findings put ease of use, novelty, design aesthetic, and challenge under the spotlight. We conclude that continual mobile game use is strongly driven by enjoyment, which in turn is primarily driven by the system's capacity of regeneration and visually attractive and easy-to-use interface. The implications are discussed in the paper. [ABSTRACT FROM AUTHOR]

Abstract: The post-adoption behaviors of online service users are critical performance factors for online service providers. To fill an academic gap that persists regarding bloggers’ switching behavior across online service substitutes, this empirical study investigates which factors affect bloggers who switch social network sites, in an attempt to understand specifically how push, pull, and mooring factors shape their switching intentions. The data to test the hypotheses come from an online survey of 319 bloggers, analyzed using partial least squares techniques. The results confirm positive influences of push and pull effects, a negative influence of mooring effects, and an interactive effect of push and mooring on switching intentions. The push–pull–mooring framework thus is a useful tool for comprehending the competing forces that influence the use of online service substitutes. In particular, perceptions of weak connections and writing anxiety push bloggers away, whereas relative enjoyment and usefulness pull bloggers to social network sites; switching cost and past experience also inhibit a change. These findings offer key insights and implications for the competitive strategy choices of online service providers. [Copyright &y& Elsevier]

The diffusion of information technology (IT) in healthcare systems to support clinical processes makes the evaluation of physician and nurse post-adoption an important challenge for clinical information systems (CIS). This paper examines the relationships between the determinants of success of a CIS based on an expectation-confirmation paradigm in a cross-sectional survey performed at the Sherbrooke University Hospital (CHUS). 32.2% (161) of physicians and 27.1% (352) of nurses responded to the survey questionnaires. Results suggested that physician and nurse satisfaction is determined differently according to post-adoption expectations: compatibility, confirmation of expectations, usefulness, ease of use, and support. The best predictor of physician satisfaction was perceived usefulness (r=.25, p=.0003) whereas for nurses it was ease of use (r=.18, p=.0003). Confirmation of expectations was strongly associated with each post-adoption expectation and positions its importance in CIS design and redesign. This study draws attention to the differences between physician and nurse perceptions of information technology and emphasizes post-adoption evaluation to measure CIS success. Physicians and nurses post-adoption expectations were key factors to warn again potential discontinuance. [ABSTRACT FROM AUTHOR]

Sustained website traffic through consumers' patronage at the post-adoption stages is known as a key to the survival of an online service provider. Although a firm's survival depends much on repeated use, whether or not a firm survives is also influenced by a variety of other behavioral outcomes that include, but are not limited to, word-of-mouth, willingness to pay, and inattentiveness to alternatives. Whereas post-adoption research has recently paid attention to repeated use, the information systems field still lacks a systematic investigation into other behavioral outcomes that transcend mere usage. In an attempt to extend the horizons of post-adoption research, we develop and test a model that explains post-adoption behaviors in the context of online services. First, drawing on a dual model of relationship maintenance in consumer behavior research, we propose a conceptual framework to study and explain online consumer behavior. In particular, our model predicts that two contrasting mechanisms, that is, dedication and constraint, are the main drivers of post-adoption phenomena (i.e., consumers' post-adoption reactions to online services--beliefs, attitudes, intentions, and behaviors). We empirically test the proposed dual model through the use of data collected from 510 users of online portals. The results of structural equation modeling analysis indicate that, as expected, the dedication- and constraint- based mechanisms simultaneously, yet differentially, determine online consumer behavior. In general, our findings suggest that it is essential in examining the complex nature of post-adoption phenomena to take into account the interplay of the dedication- and constraint-based mechanisms. [ABSTRACT FROM AUTHOR]

This paper investigates factors affecting the, post-adoption behavior of first-Her supply chain members within the U.S. automotive industry toward a new information technology. This paper examined a specialized information technology known as the collaborative visibility network (CVN) used within the U.S. automotive industry that provides enhanced part-level visibility to Its supply chain affiliates. Using existing research on innovation diffusion, this paper examines cognitive and experiential antecedents of post-adoption behavior. A model grounded in innovation diffusion theory, social learning theory, and the technology acceptance model is proposed and tested. Field interviews followed by a mail survey were used to collect data from 515 first-tier supply chain users of CVN. A structural equation model tested the hypothesized relationships to support the proposed model. Results confirmed the majority of the hypotheses. The opportunity to experiment, training effectiveness, prior experience with a similar technology, and prior technological knowledge have an effect on perceived ease of use and perceived usefulness, which ultimately affect technology performance. Implications of this study along with suggestions for future research are provided. [ABSTRACT FROM AUTHOR]