(Q56900479)

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Predicting continuance in online communities: model development and empirical test

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Predicting continuance in online communities: model development and empirical test (English)

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author name string

Xiao-Ling Jin

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1

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Matthew K.O. Lee

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2

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Christy M.K. Cheung

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3

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publication date

July 2010

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published in

Behaviour & Information Technology

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volume

29

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issue

4

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page(s)

383-394

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cites work

Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value

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21 January 2018

Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures

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Architectural criteria for website evaluation – conceptual framework and empirical validation

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21 January 2018

Predicting electronic service continuance with a decomposed theory of planned behaviour

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21 January 2018

Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation

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Customer Satisfaction with Electronic Service Encounters

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A three-component conceptualization of organizational commitment

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21 January 2018

Affective, Continuance, and Normative Commitment to the Organization: A Meta-analysis of Antecedents, Correlates, and Consequences

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21 January 2018

A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions

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21 January 2018

Sociability and usability in online communities: Determining and measuring success

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21 January 2018

A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

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21 January 2018

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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21 January 2018

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DOI

10.1080/01449290903398190

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DBLP publication ID

journals/behaviourIT/JinLC10

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DBLP Dataset 2021-01-02

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28 January 2021

(Q56900479)

Predicting continuance in online communities: model development and empirical test

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