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A study of the intention–action gap in knowledge sharing practices

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  • Feng‐Yang Kuo
  • Mei‐Lien Young

Abstract

Recently, several researchers have questioned the predicting power of intention to actual system usage (Burton‐Jones & Straub, 2006; Jasperson, Carter, & Zmud, 2005; Kim & Malhotra, 2005; Kim, Malhotra, & Narasimhan, 2005; Limayem & Hirt, 2003). In this article, we report a study that investigates the gap between intention and usage by observing an Internet‐based knowledge management system, SCTNet, from the perspective of volitional control. Relying on the theory of planned behavior and the theory of action control, we investigate four types of volitional control mechanisms that may impact people's knowledge‐sharing practices. Our results show that in knowledge‐management‐based knowledge sharing, people do not always perform in a manner consistent with their espoused beliefs. This intention–action inconsistency can be explained by perceived self‐efficacy, but not by intention and controllability. In addition, a person's action/state orientation moderates his or her enactment of intention toward knowledge sharing into behaviors. The main theoretical implication of this study is that the study of knowledge‐management‐based knowledge sharing has to go beyond intention to include the investigation of both the actual behaviors of knowledge sharing and the volitional control constructs that predict these behaviors. Furthermore, previous research has shown that the environment interacts reciprocally with individuals' psychological control mechanisms in regulating their behaviors. Thus, the management must focus on the social and cultural attributes of organizational settings that may strengthen people's volitional control in practicing knowledge sharing.

Suggested Citation

  • Feng‐Yang Kuo & Mei‐Lien Young, 2008. "A study of the intention–action gap in knowledge sharing practices," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1224-1237, June.
  • Handle: RePEc:bla:jamist:v:59:y:2008:i:8:p:1224-1237
    DOI: 10.1002/asi.20816
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    Cited by:

    1. Lindner, Max, 2021. "Sustainable Food Consumption of German Millennials: Exploring the "Attitude Behavior Gap"," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 424-467.
    2. Van Dong Phung & Igor Hawryszkiewycz & Daniel Chandran & Binh Minh Ha, 2019. "Promoting Knowledge Sharing Amongst Academics: A Case Study from Vietnam," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-25, September.
    3. Nguyen, Tuyet-Mai & Nham, Phong Tuan & Hoang, Viet Ngu, 2018. "The theory of planned behavior and knowledge sharing: A systematic review and meta-analytic structural equation modelling," MPRA Paper 106892, University Library of Munich, Germany, revised 20 Dec 2018.
    4. Youngseek Kim & Ayoung Yoon, 2017. "Scientists' data reuse behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2709-2719, December.
    5. Muhammad Usman & Gulnaz Hameed & Abdul Saboor & Lal K. Almas & Muhammad Hanif, 2021. "R&D Innovation Adoption, Climatic Sensitivity, and Absorptive Ability Contribution for Agriculture TFP Growth in Pakistan," Agriculture, MDPI, vol. 11(12), pages 1-18, November.
    6. Giulia Sonetti & Martin Brown & Emanuele Naboni, 2019. "About the Triggering of UN Sustainable Development Goals and Regenerative Sustainability in Higher Education," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    7. Yeji Shin & Seoyong Kim & Sohee Kim, 2022. "Searching for New Human Behavior Model in the Climate Change Age: Analyzing the Impact of Risk Perception and Government Factors on Intention–Action Consistency in Particulate Matter Mitigation," IJERPH, MDPI, vol. 19(17), pages 1-26, September.
    8. Zhu, Yu-Qian, 2016. "Solving knowledge sharing disparity: The role of team identification, organizational identification, and in-group bias," International Journal of Information Management, Elsevier, vol. 36(6), pages 1174-1183.

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