IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v4y2014i3p2158244014541780.html
   My bibliography  Save this article

Proactive Assessment for Collaboration Success

Author

Listed:
  • Teresa L. Ju
  • Yao Chin Lin
  • Nhu-Hang Ha

Abstract

This study describes a government–academia–industry joint training project that produces Vietnamese midlevel technical managers. To ensure collaboration success, a proactive assessment methodology was developed as a supplement to the conventional project management practices. In the postproject feedback, the funding agencies acknowledged that the project fulfilled its contractual obligations and achieved its objectives. The implementing university was pleased as it broke ground in this type of collaboration in Taiwan. The industrial partners, however, were not so sure about the effectiveness of this collaborative training endeavor because there were many skirmishes between company supervisors and Vietnamese interns caused by the interns’ self-interested perception and expectation. Consequently, a theoretical framework for predicting internship acceptance and preventing unfavorable perceptions was proposed to strengthen the proactive assessment methodology. Collaboration research, funding agencies, academia, and industry could all benefit from this study.

Suggested Citation

  • Teresa L. Ju & Yao Chin Lin & Nhu-Hang Ha, 2014. "Proactive Assessment for Collaboration Success," SAGE Open, , vol. 4(3), pages 21582440145, July.
    • Handle: RePEc:sae:sagope:v:4:y:2014:i:3:p:2158244014541780
    DOI: 10.1177/2158244014541780
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2158244014541780
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2158244014541780?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
    ---><---

    References listed on IDEAS

    as
    1. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    2. 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.
    3. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    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. Schnaubelt, Matthias & Fischer, Thomas G. & Krauss, Christopher, 2020. "Separating the signal from the noise – Financial machine learning for Twitter," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).

    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. Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
    2. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    3. Yoon, Junghyun & Lee, Hee Yong & Dinwoodie, John, 2015. "Competitiveness of container terminal operating companies in South Korea and the industry–university–government network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 1-14.
    4. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    5. Marius Băban & Călin Florin Băban & Tudor Mitran, 2023. "Universities as an External Knowledge Source for Industry: Investigating the Antecedents’ Impact on the Importance Perception of Their Collaboration in Open Innovation Using an Ordinal Regression-Neur," Mathematics, MDPI, vol. 11(7), pages 1-23, March.
    6. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    7. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    8. Mario Coccia, 2003. "Scale Of Technology Magnitude For Measuring The Spatial Attract Of Technology Transfer," CERIS Working Paper 200304, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    9. Edurne Magro Montero & Mari Jose Aranguren & Mikel Navarro, 2011. "Smart Specialisation Strategies: The Case of the Basque Country," Working Papers 2011R07, Orkestra - Basque Institute of Competitiveness.
    10. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    11. Agnieszka Kuś & Dorota Grego-Planer, 2021. "A Model of Innovation Activity in Small Enterprises in the Context of Selected Financial Factors: The Example of the Renewable Energy Sector," Energies, MDPI, vol. 14(10), pages 1-17, May.
    12. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    13. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    14. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    15. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    16. Roberto Iorio & Sandrine Labory & Francesco Rentocchini, 2014. "Academics’ Motivations and Depth and Breadth of Knowledge Transfer Activities," Working Papers 1401, c.MET-05 - Centro Interuniversitario di Economia Applicata alle Politiche per L'industria, lo Sviluppo locale e l'Internazionalizzazione.
    17. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    18. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    19. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    20. Filippova, Irina & Unknown, Unknown, 2013. "Кластерные Стратегии И Кластерные Инициативы: Перспективы И Факторы Эффективной Кластеризации [Cluster strategy and cluster initiatives: prospects and factors of effective clustering]," MPRA Paper 49949, University Library of Munich, Germany.

    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:sae:sagope:v:4:y:2014:i:3:p:2158244014541780. 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: SAGE Publications (email available below). General contact details of provider: .

    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.