IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v10y2016i6p105.html
   My bibliography  Save this article

Identify and Prioritize the Key Success Factors in the Establishment of Crowdsourced Systems

Author

Listed:
  • Ali Bonyadi Naeini
  • Amin Reza Atashkar

Abstract

This study sought to determine the key factors affecting the success of crowdsourcing. In this study, both exploratory and confirmatory examined and finally, structural equation modeling was used to validate the proposed model. In this study, we tried to investigate key elements in the organization, the conceptual framework for the relationship between these factors be addressed. This study aimed to evaluate the identification and prioritization of the key success factors in the establishment of crowdsourcing was used in the automotive industry and purpose of the survey and questionnaires were used. The population in this study, car industry executives. As expressed in the research evaluation experts has been used. To investigate the relationship for each of the relationships shown in the model, the model analysis of Amos Software was used. The findings of this research to the development of crowdsourcing to help organizations, because it has tried to provide empirical evidence and in accordance with the terms of the Iranian executive model, the model organizations in order to be able to managers and planners given the circumstances and the amount of resources and organizational priorities of the development and implementation of projects of crowdsourcing to take better decisions.

Suggested Citation

  • Ali Bonyadi Naeini & Amin Reza Atashkar, 2016. "Identify and Prioritize the Key Success Factors in the Establishment of Crowdsourced Systems," Modern Applied Science, Canadian Center of Science and Education, vol. 10(6), pages 105-105, June.
    • Handle: RePEc:ibn:masjnl:v:10:y:2016:i:6:p:105
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/58945/31554
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/58945
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Platts, K. W. & Probert, D. R. & Canez, L., 2002. "Make vs. buy decisions: A process incorporating multi-attribute decision-making," International Journal of Production Economics, Elsevier, vol. 77(3), pages 247-257, June.
    2. Lakhal, Salem & Martel, Alain & Kettani, Ossama & Oral, Muhittin, 2001. "On the optimization of supply chain networking decisions," European Journal of Operational Research, Elsevier, vol. 129(2), pages 259-270, March.
    Full references (including those not matched with items on IDEAS)

    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. Yucai Wu & Jiguang Wang & Changhong Li, 2019. "Decisions of Supply Chain Considering Chain-to-Chain Competition and Service Negative Spillover Effect," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    2. Elise M. Stevens & Andrea C. Villanti & Glenn Leshner & Theodore L. Wagener & Brittney Keller-Hamilton & Darren Mays, 2021. "Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling," IJERPH, MDPI, vol. 18(22), pages 1-12, November.
    3. Djurdjica Stojanović & Svetlana Nikoličić & Milica Miličić, 2011. "Transport Fleet Sizing By Using Make And Buy Decision-Making," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(190), pages 77-102, July – Se.
    4. Wang, Juite & Shu, Yun-Feng, 2007. "A possibilistic decision model for new product supply chain design," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1044-1061, March.
    5. Z. Aytan Ediz & M. Atilla Öner & Y. Can Erdem & Nesimi Kaplan, 2018. "A Model for Make-or-Buy Decisions in Engineering Design Services Sector: A Case Study from Turkey," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-27, August.
    6. Kerbache, Laoucine & MacGregor Smith, James, 2004. "Queueing networks and the topological design of supply chain systems," International Journal of Production Economics, Elsevier, vol. 91(3), pages 251-272, October.
    7. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    8. Kabak, Özgür & Ülengin, Füsun, 2011. "Possibilistic linear-programming approach for supply chain networking decisions," European Journal of Operational Research, Elsevier, vol. 209(3), pages 253-264, March.
    9. Lakhal, Salem Y., 2006. "An operational profit sharing and transfer pricing model for network-manufacturing companies," European Journal of Operational Research, Elsevier, vol. 175(1), pages 543-565, November.
    10. Vila, Didier & Martel, Alain & Beauregard, Robert, 2006. "Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry," International Journal of Production Economics, Elsevier, vol. 102(2), pages 358-378, August.
    11. Zhaobo Chen & Chunxian Teng & Ding Zhang & Jiayi Sun, 2016. "Modelling inter-supply chain competition with resource limitation and demand disruption," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(7), pages 1644-1658, May.
    12. Yao, Jianming & Liu, Liwen, 2009. "Optimization analysis of supply chain scheduling in mass customization," International Journal of Production Economics, Elsevier, vol. 117(1), pages 197-211, January.
    13. Zhang, Ding, 2006. "A network economic model for supply chain versus supply chain competition," Omega, Elsevier, vol. 34(3), pages 283-295, June.
    14. Akanle, O.M. & Zhang, D.Z., 2008. "Agent-based model for optimising supply-chain configurations," International Journal of Production Economics, Elsevier, vol. 115(2), pages 444-460, October.
    15. Cordeau, Jean-François & Laporte, Gilbert & Pasin, Federico, 2008. "An iterated local search heuristic for the logistics network design problem with single assignment," International Journal of Production Economics, Elsevier, vol. 113(2), pages 626-640, June.
    16. Yucai Wu & Jiguang Wang & Lu Chen, 2021. "Optimization and Decision of Supply Chain Considering Negative Spillover Effect and Service Competition," Sustainability, MDPI, vol. 13(4), pages 1-20, February.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:10:y:2016:i:6:p:105. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.