IDEAS home Printed from https://ideas.repec.org/a/ids/ijicbm/v12y2016i1p128-140.html
   My bibliography  Save this article

Collaborative and open innovation: supply chain planning as an effective source

Author

Listed:
  • Rajeev Mukundan
  • Sam Thomas

Abstract

The importance of innovation to business is well-recognised. Collaborations, both internal to the firm and external, are a main source of innovation in firms. Inter-departmental collaboration is an important driver of innovation, while external collaboration facilitates open innovation. Building a collaborative network exclusively to achieve innovation can be expensive. Supply chain management in firms requires both inter-departmental collaboration, and external collaboration with other firms in the supply chain. This paper investigates whether this collaboration can be harnessed to generate innovations. Through conceptual arguments, the paper concludes that firms stand to gain in their innovation efforts by leveraging the supply chain collaborations. To achieve this, alignment of supply chain managers with innovation champions in the firm has to be facilitated and supported by the top management. While potential cost savings can be realised by leveraging existing supply chain relationships, other practical implications have also been outlined. Continued empirical studies are suggested to further evolve this stream of research.

Suggested Citation

  • Rajeev Mukundan & Sam Thomas, 2016. "Collaborative and open innovation: supply chain planning as an effective source," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 128-140.
  • Handle: RePEc:ids:ijicbm:v:12:y:2016:i:1:p:128-140
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=73396
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    2. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    3. Cuijpers, Maarten & Guenter, Hannes & Hussinger, Katrin, 2011. "Costs and benefits of inter-departmental innovation collaboration," Research Policy, Elsevier, vol. 40(4), pages 565-575, May.
    4. Wong, Christina W.Y. & Wong, Chee Yew & Boon-itt, Sakun, 2013. "The combined effects of internal and external supply chain integration on product innovation," International Journal of Production Economics, Elsevier, vol. 146(2), pages 566-574.
    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. Weihua Liu & Siyu Wang & Jingkun Wang, 2023. "Evaluation method of path selection for smart supply chain innovation," Annals of Operations Research, Springer, vol. 322(1), pages 167-193, March.
    2. Mo Li & Hua Dong & Haochen Yu & Xiaoqi Sun & Huijuan Zhao, 2023. "Evolutionary Game and Simulation of Collaborative Green Innovation in Supply Chain under Digital Enablement," Sustainability, MDPI, vol. 15(4), pages 1-17, February.

    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. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael & Önkal, Dilek, 2019. "Judgmental adjustments through supply integration for strategic partnerships in food chains," Omega, Elsevier, vol. 87(C), pages 20-33.
    2. Hill, Craig A. & Zhang, G. Peter & Miller, Keith E., 2018. "Collaborative planning, forecasting, and replenishment & firm performance: An empirical evaluation," International Journal of Production Economics, Elsevier, vol. 196(C), pages 12-23.
    3. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    4. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    5. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    6. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    7. Aghion, Philippe & Akcigit, Ufuk & Lequien, Matthieu & Stantcheva, Stefanie, 2017. "Tax simplicity and heterogeneous learning," LSE Research Online Documents on Economics 86613, London School of Economics and Political Science, LSE Library.
    8. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    9. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    10. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.
    11. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    12. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    13. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    14. Samuel J Gershman, 2015. "A Unifying Probabilistic View of Associative Learning," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-20, November.
    15. Jing Wang & Yuchen Zhang & Mark Goh, 2018. "Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    16. Arun Advani, 2022. "Who does and doesn't pay taxes?," Fiscal Studies, John Wiley & Sons, vol. 43(1), pages 5-22, March.
    17. Steve Fortin & Ahmad Hammami & Michel Magnan, 2021. "Re‐exploring Fair Value Accounting and Value Relevance: An Examination of Underlying Securities," Abacus, Accounting Foundation, University of Sydney, vol. 57(2), pages 220-250, June.
    18. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    19. Prajogo, Daniel & Toy, Jordan & Bhattacharya, Ananya & Oke, Adegoke & Cheng, T.C.E., 2018. "The relationships between information management, process management and operational performance: Internal and external contexts," International Journal of Production Economics, Elsevier, vol. 199(C), pages 95-103.
    20. Jacobs, Mattis & Kurtz, Christian & Simon, Judith & Böhmann, Tilo, 2021. "Value Sensitive Design and power in socio-technical ecosystems," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(3), pages 1-26.

    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:ids:ijicbm:v:12:y:2016:i:1:p:128-140. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=235 .

    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.