IDEAS home Printed from https://ideas.repec.org/a/wly/jnlaaa/v2014y2014i1n418104.html

Interorganizational Knowledge Division Decision Model Based on Cooperative Innovation of Supply Chain System

Author

Listed:
  • Wei Zhang
  • Qingpu Zhang
  • Guangdong Wu

Abstract

Within interorganizational cooperative innovation of construction supply chain system, the achievement of project value‐adding could be reflected by several factors, such as project‐based organizational effect level, and the relationship between project cooperative innovation objectives. In this paper, based on the assumption of equal cooperation between project‐based organizations, we selected the knowledge cooperation between the owner and contractor in construction supply chain system as research object. From the perspective of maximizing project value‐adding and the relationship of effort cost between knowledge input and innovation stage in consideration, we established the knowledge collaborative incentive model for interorganizational cooperative innovation of construction supply chain system and proposed the first‐order and second‐order approaches. Then we conducted the digital simulation and example analysis, its results showed that if the owner has the capability to achieve project value‐adding in knowledge cooperation, he would adopt a part commissioned way. Otherwise, a fully commissioned way would be better.

Suggested Citation

  • Wei Zhang & Qingpu Zhang & Guangdong Wu, 2014. "Interorganizational Knowledge Division Decision Model Based on Cooperative Innovation of Supply Chain System," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:418104
    DOI: 10.1155/2014/418104
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2014/418104
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/418104?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. Shen Yin & Steven Ding & Adel Abandan Sari & Haiyang Hao, 2013. "Data-driven monitoring for stochastic systems and its application on batch process," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(7), pages 1366-1376.
    2. Gavious, Arieh & Rabinowitz, Gad, 2003. "Optimal knowledge outsourcing model," Omega, Elsevier, vol. 31(6), pages 451-457, December.
    3. Renzl, Birgit, 2008. "Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation," Omega, Elsevier, vol. 36(2), pages 206-220, April.
    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. Ming Li & Guangdong Wu, 2014. "Robust Optimization for Time‐Cost Tradeoff Problem in Construction Projects," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

    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. M. Max Evans & Ilja Frissen & Anthony K. P. Wensley, 2018. "Organisational Information and Knowledge Sharing: Uncovering Mediating Effects of Perceived Trustworthiness Using the PROCESS Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-29, March.
    2. Jin Li & Liu Yang, 2014. "Finite‐Time Terminal Sliding Mode Tracking Control for Piezoelectric Actuators," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    3. Hyeon Gyu Jeon & Kun Chang Lee, 2020. "Emotional Factors Affecting Knowledge Sharing Intentions in the Context of Competitive Knowledge Network," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    4. Maria Obeso & Maria Sarabia, 2018. "Knowledge and Enterprises in Developing Countries: Evidences from Chile," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 854-870, September.
    5. Matzler, Kurt & Mueller, Julia, 2011. "Antecedents of knowledge sharing - Examining the influence of learning and performance orientation," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 317-329, June.
    6. Y. D. Song & Qian Cao & Xiaoqiang Du & Hamid Reza Karimi, 2013. "Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    7. Dah-Kwei Liou & Wen-Hai Chih & Li-Chun Hsu & Chia-Yi Huang, 2016. "Investigating information sharing behavior: the mediating roles of the desire to share information in virtual communities," Information Systems and e-Business Management, Springer, vol. 14(2), pages 187-216, May.
    8. Yuehjen E. Shao & Chia-Ding Hou, 2013. "Hybrid Artificial Neural Networks Modeling for Faults Identification of a Stochastic Multivariate Process," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    9. Hyo Min Seo & Min Cheol Kim & Kyungro Chang & Taehee Kim, 2016. "Influence Of Interpersonal Trust On Innovative Behaviour Of Service Workers: Mediating Effects Of Knowledge Sharing," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-21, February.
    10. Jiangyuan Mei & Jian Hou & Hamid Reza Karimi & Jiarao Huang, 2014. "A Novel Data‐Driven Fault Diagnosis Algorithm Using Multivariate Dynamic Time Warping Measure," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    11. Weili Xiong & Wei Zhang & Dengfeng Liu & Baoguo Xu, 2014. "Fuzzy Pruning Based LS‐SVM Modeling Development for a Fermentation Process," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    12. Teodora Diana Corsatea, 2010. "Measuring science: Spatial investigation of academic opportunities in Belgium," Papers in Regional Science, Wiley Blackwell, vol. 89(2), pages 373-387, June.
    13. Dhruba Kumar Gautam & Resam Lal Poudel & Surya Bahadur G.C., 2025. "Collaborative Culture and Higher Education Institutions’ Performance: Does Knowledge Management Process Mediates?," SAGE Open, , vol. 15(3), pages 21582440251, September.
    14. Zhilin Liu & Lutao Liu & Jun Zhang, 2014. "Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    15. Cheng, Jao-Hong, 2011. "Inter-organizational relationships and knowledge sharing in green supply chains—Moderating by relational benefits and guanxi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 837-849.
    16. Joanna Radomska & Przemysław Wołczek & Letycja Sołoducho-Pelc & Susana Silva, 2019. "The Impact of Trust on the Approach to Management—A Case Study of Creative Industries," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    17. Vlajčić, Davor & Caputo, Andrea & Marzi, Giacomo & Dabić, Marina, 2019. "Expatriates managers’ cultural intelligence as promoter of knowledge transfer in multinational companies," Journal of Business Research, Elsevier, vol. 94(C), pages 367-377.
    18. Bin Li & Wei Pang & Yuhao Liu & Xiangchun Yu & Anan Du & Yecheng Zhang & Zhezhou Yu, 2014. "Building Recognition on Subregion’s Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    19. Yuping Qin & Hamid Reza Karimi & Dan Li & Shuxian Lun & Aihua Zhang, 2014. "A Mahalanobis Hyperellipsoidal Learning Machine Class Incremental Learning Algorithm," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    20. Yan Zhao & Tieyan Zhang & Dan Zhao & Fucai You & Miao Li, 2014. "Robust Stability Criteria of Roesser‐Type Discrete‐Time Two‐Dimensional Systems with Parameter Uncertainties," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).

    More about this item

    Statistics

    Access and download statistics

    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:wly:jnlaaa:v:2014:y:2014:i:1:n:418104. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/4058 .

    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.