IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v46y2012i5p1479-1491.html
   My bibliography  Save this article

The factors impact of knowledge sharing intentions: the theory of reasoned action perspective

Author

Listed:
  • Ming-Tien Tsai
  • Kun-Shiang Chen
  • Jui-Lin Chien

Abstract

No abstract is available for this item.

Suggested Citation

  • Ming-Tien Tsai & Kun-Shiang Chen & Jui-Lin Chien, 2012. "The factors impact of knowledge sharing intentions: the theory of reasoned action perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1479-1491, August.
  • Handle: RePEc:spr:qualqt:v:46:y:2012:i:5:p:1479-1491
    DOI: 10.1007/s11135-011-9462-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9462-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-011-9462-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sheng-Wuu Joe & Shin-Yi Lin & Chou-Kang Chiu, 2010. "Modeling the unethical intention of software piracy: a qualitative integration of network externalities and information cascades," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(1), pages 191-198, January.
    2. Fraedrich, John Paul & Ferrell, O. C., 1992. "The impact of perceived risk and moral philosophy type on ethical decision making in business organizations," Journal of Business Research, Elsevier, vol. 24(4), pages 283-295, June.
    3. Akaah, Ishmael P., 1997. "Influence of Deontological and Teleological Factors on Research Ethics Evaluations," Journal of Business Research, Elsevier, vol. 39(2), pages 71-80, June.
    4. Gee W. Bock & Young-Gul Kim, 2002. "Breaking the Myths of Rewards: An Exploratory Study of Attitudes about Knowledge Sharing," Information Resources Management Journal (IRMJ), IGI Global, vol. 15(2), pages 14-21, April.
    5. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. KhalifAbdi Maalim & Peterson Obara Magutu & James Mauti Mose, 2019. "E-Procurement Strategies And Supply Chain Performance Of Private Hospitals In Nairobi, Kenya," Noble International Journal of Social Sciences Research, Noble Academic Publsiher, vol. 4(11), pages 145-156, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    2. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    3. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    4. Eung-Suk Park & ByungYong Hwang & Kyungwan Ko & Daecheol Kim, 2017. "Consumer Acceptance Analysis of the Home Energy Management System," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    5. Song, Jinzhu & Drennan, Judy C. & Andrews, Lynda M., 2012. "Exploring regional differences in Chinese consumer acceptance of new mobile technology: A qualitative study," Australasian marketing journal, Elsevier, vol. 20(1), pages 80-88.
    6. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    7. Hasnan Baber & N M Baki Billah, 2022. "Fintech and Islamic Banks - an integrative model approach to predict the intentions," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 24(2), pages 24-45, December.
    8. T. G. Saji & Deepa Paul, 2018. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model," Metamorphosis: A Journal of Management Research, , vol. 17(2), pages 111-119, December.
    9. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.
    10. repec:dau:papers:123456789/13000 is not listed on IDEAS
    11. Chang, Yung-Chi & Enkhjargal, Uguumur & Huang, Chen-I & Lin, Wen-Ling & Ho, Chi-Ming, 2020. "Factors Affecting the Internet Banking Adoption," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 54(3), pages 117-131.
    12. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    13. Diaz, Michelle Chandler & Loraas, Tina, 2010. "Learning new uses of technology while on an audit engagement: Contextualizing general models to advance pragmatic understanding," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 61-77.
    14. Brown, Susan A. & Venkatesh, Viswanath & Kuruzovich, Jason & Massey, Anne P., 2008. "Expectation confirmation: An examination of three competing models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 105(1), pages 52-66, January.
    15. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    16. Agarwal, Reeti & Rastogi, Sanjay & Mehrotra, Ankit, 2009. "Customers’ perspectives regarding e-banking in an emerging economy," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 340-351.
    17. Kim, Hyo-Jeong & Mannino, Michael & Nieschwietz, Robert J., 2009. "Information technology acceptance in the internal audit profession: Impact of technology features and complexity," International Journal of Accounting Information Systems, Elsevier, vol. 10(4), pages 214-228.
    18. Ching-Wei Ho & Yu-Bing Wang & Neil Y. Yen, 2015. "Does Environmental Sustainability Play a Role in the Adoption of Smart Card Technology at Universities in Taiwan: An Integration of TAM and TRA," Sustainability, MDPI, vol. 7(8), pages 1-16, August.
    19. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    20. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    21. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:46:y:2012:i:5:p:1479-1491. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.