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  • × author_ss:"Lee, M.K.O."
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  1. Cheung, C.M.K.; Lee, M.K.O.: ¬The structure of Web-based information systems satisfaction : testing of competing models (2008) 0.00
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    Abstract
    User satisfaction has become one of the most important measures of the success or effectiveness of information systems (IS). In the current study, the dimensionality of Web-based information systems (WIS) satisfaction was first examined. Two composite latent variable models with factor-order structures were then empirically tested and compared to describe the relationships among observable variables concerned with WIS satisfaction. Using data from a sample of 515 university students, a third-order composite latent variable model was retained based on statistical and theoretical criteria. At the third-order level, WIS satisfaction is determined by two second-order constructs: Web information satisfaction and Web system satisfaction. Web information satisfaction is determined by understandability, reliability, and usefulness, while Web system satisfaction is determined by access, usability, and navigation. Overall, the model provides a good fit to the data and is theoretically valid, reflecting logical consistency. Implications of the current investigation for practice and research are provided.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.10, S.1617-1630
  2. Cheung, C.M.K.; Liu, I.L.B.; Lee, M.K.O.: How online social interactions influence customer information contribution behavior in online social shopping communities : a social learning theory perspective (2015) 0.00
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    Abstract
    Online social shopping communities are transforming the way customers communicate and exchange product information with others. To date, the issue of customer participation in online social shopping communities has become an important but underexplored research area in the academic literature. In this study, we examined how online social interactions affect customer information contribution behavior. We also explored the moderating role of customer reputation in the relationship between observational learning and reinforcement learning as well as customer information contribution behavior. Analyses of panel data from 6,121 customers in an online social fashion platform revealed that they are significant factors affecting customer information contribution behavior and that reinforcement learning exhibits a stronger effect than observational learning. The results also showed that customer reputation has a significant negative moderating effect on the relationship between observational learning and customer information contribution behavior. This study not only enriched our theoretical understanding of information contribution behavior but also provided guidelines for online social shopping community administrators to better design their community features.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2511-2521
  3. Cheung, C.M.K.; Lee, M.K.O.: User satisfaction with an internet-based portal : an asymmetric and nonlinear approach (2009) 0.00
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    Abstract
    Past research in information systems (IS) user satisfaction primarily adopted a conventional key-driver analysis approach assuming that independent variables symmetrically and linearly affect user satisfaction. However, recent studies suggest that relationships in IS satisfaction models are more complex. Relying solely on symmetric and linear models runs the risk of systemically misestimating the impact of independent variables on user satisfaction. Building upon previous work, we empirically tested the asymmetric and nonlinear IS user satisfaction model in the context of Internet-based portals. Results show that negative perceived performance on three of the four information-quality attributes have greater impacts on overall satisfaction than do positive perceived performance. In addition, user satisfaction appears to display diminishing sensitivity to information quality in the domain of negative perceived performance but not in positive perceived performance. We expect that this study will generate interest in this new but important area of research.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.1, S.111-122
  4. Liu, I.L.B.; Cheung, C.M.K.; Lee, M.K.O.: User satisfaction with microblogging : information dissemination versus social networking (2016) 0.00
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    Abstract
    Microblogging is growing in popularity and significance. Although many researchers have attempted to explain why and how people use this new medium, previous studies have produced relatively inconclusive results. For instance, in most of these studies, microblogging has been considered a social networking activity; however, quantitative analyses of microblogging usage have shown that people use microblogging as an information-broadcasting platform. In this study, we identified the factors that drive microblogging and which of them lead to user satisfaction. We developed a theoretical framework and then empirically validated the factors and the emergent mechanisms (value evaluation processes). We empirically tested our research model using a sample of 230 microbloggers, and the results showed that content and technology gratifications are the two key factors that drive user satisfaction with microblogging. That is, it is the value of information dissemination rather than social networking that makes people feel satisfied with the use of microblogging. We believe that this study will generate interest among researchers in social media. The results also provide platform administrators with insights into how people use microblogging and why they are satisfied with the technology.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.1, S.56-70
  5. Teo, H.-H.; Wang, X.; Wei, K.-K.; Sia, C.-L.; Lee, M.K.O.: Organizational learning capacity and attitude toward complex technological innovations : an empirical study (2006) 0.00
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    Abstract
    Recent studies have found organizational learning capacity to be a key factor in influencing organizational assimilation and exploitation of knowledge-intensive innovations. Despite its increasing importance, the impact of organizational learning capacity an technology assimilation is not well understood. Distilling from extant works an organizational learning and technology assimilation, this study identifies four components of organizational learning capacity, namely, systems orientation, organizational climate for learning orientation, knowledge acquisition and utilization orientation, and information sharing and dissemination orientation. The authors subject these components to structural equation modeling analyses to better understand their structure and dimensionality. The analyses strongly support the proposed four major dimensions underlying organizational learning capacity. Organizational learning capacity, as a higher-order factor, has a significant impact an attitude towards organizational adoption of knowledge-intensive innovations. Implications for practice and research are discussed.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.2, S.264-279
  6. Cheung, C.M.K.; Lee, M.K.O.: Understanding consumer trust in Internet shopping : a multidisciplinary approach (2006) 0.00
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    Abstract
    The importance of trust in building and maintaining consumer relationships in the online environment is widely accepted in the Information Systems literature. A key challenge for researchers is to identify antecedent variables that engender consumer trust in Internet shopping. This paper adopts a multidisciplinary approach and develops an integrative model of consumer trust in Internet shopping through synthesizing the three diverse trust literatures. The social psychological perspective guides us to include perceived trustworthiness of Internet merchants as the key determinant of consumer trust in Internet shopping. The sociological viewpoint suggests the inclusion of legal framework and third-party recognition in the research model. The views of personality theorists postulate a direct effect of propensity to trust on consumer trust in Internet shopping. The results of this study provide strong support for the research model and research hypotheses, and the high explanatory power illustrates the complementarity of the three streams of research on trust. This paper contributes to the conceptual and empirical understanding of consumer trust in Internet shopping. Implications of this study are noteworthy for both researchers and practitioners.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.479-492
  7. Lee, M.K.O.; Cheung, C.M.K.; Chen, Z.: Understanding user acceptance of multimedia messaging services : an empirical study (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.2066-2077
  8. Cheung, C.M.K.; Lee, M.K.O.; Lee, Z.W.Y.: Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processes (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1357-1374
  9. Wang, C.; Zhou, R.; Lee, M.K.O.: Can loyalty be pursued and achieved? : an extended RFD model to understand and predict user loyalty to mobile apps (2021) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.7, S.824-838