IDEAS home Printed from https://ideas.repec.org/a/gam/jadmsc/v13y2023i9p198-d1233857.html
   My bibliography  Save this article

Exploring the Potential of Open Innovation for Co-Creation in Entrepreneurship: A Systematic Literature Review

Author

Listed:
  • May Portuguez-Castro

    (Departamento Académico de Posgrado en Negocios, CENTRUM Católica Graduate Business School, Lima 15023, Peru
    Departamento Académico de Posgrado en Negocios, Pontificia Universidad Católica del Perú, Lima 15088, Peru)

Abstract

In recent years, the concept of open innovation has garnered interest among companies due to its potential for generating new models and practices. This study aimed to explore the potential of open innovation for co-creation in entrepreneurship. To achieve this, a systematic literature review (SLR) was conducted, analyzing 53 scientific articles from the Scopus and Web of Science (WOS) databases. The analysis focused on the characteristics related to co-creation and open innovation, the actors involved in these processes, the strategies employed, and the benefits and challenges encountered. The results revealed that: (a) co-creation and open innovation activities enable entrepreneurs to expand their knowledge base through collaboration with diverse stakeholders; (b) the strategies implemented by entrepreneurs have been beneficial in promoting innovation and the creation of shared value, particularly in the development of technologies and new markets; (c) despite recognizing the importance of this collaboration, there are still challenges to be addressed to maximize the advantages of co-creation and open innovation, such as resource scarcity and collaboration skills. Therefore, this study aimed to provide value to entrepreneurs, organizations supporting entrepreneurship, decision-makers, and the community at large in designing programs and mechanisms that foster co-creation and open innovation competencies.

Suggested Citation

  • May Portuguez-Castro, 2023. "Exploring the Potential of Open Innovation for Co-Creation in Entrepreneurship: A Systematic Literature Review," Administrative Sciences, MDPI, vol. 13(9), pages 1-18, September.
  • Handle: RePEc:gam:jadmsc:v:13:y:2023:i:9:p:198-:d:1233857
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-3387/13/9/198/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-3387/13/9/198/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Secundo, Giustina & Del Vecchio, Pasquale & Simeone, Luca & Schiuma, Giovanni, 2020. "Creativity and stakeholders' engagement in open innovation: Design for knowledge translation in technology-intensive enterprises," Journal of Business Research, Elsevier, vol. 119(C), pages 272-282.
    2. Saura, Jose Ramon & Palacios-Marqués, Daniel & Ribeiro-Soriano, Domingo, 2023. "Exploring the boundaries of open innovation: Evidence from social media mining," Technovation, Elsevier, vol. 119(C).
    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. Rishi Kant Kumar & Srinivas Subbarao Pasumarti & Ronnie Joshe Figueiredo & Rana Singh & Sachi Rana & Kumod Kumar & Prashant Kumar, 2024. "Innovation dynamics within the entrepreneurial ecosystem: a content analysis-based literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    2. Mir Satar & Sager Alharthi & Muzaffar Asad & Amer Alenazy & Muhammad Uzair Asif, 2024. "The Moderating Role of Entrepreneurial Networking between Entrepreneurial Alertness and the Success of Entrepreneurial Firms," Sustainability, MDPI, vol. 16(11), pages 1-19, May.

    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. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. María García de Blanes Sebastián & José Ramón Sarmiento Guede & Alberto Azuara Grande & David Juárez-Varón, 2024. "Analysis of factors influencing attitude and intention to use electric vehicles for a sustainable future," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1347-1368, August.
    3. Montserrat Jiménez-Partearroyo & Ana Medina-López & Sudhir Rana, 2024. "Business intelligence and business analytics in tourism: insights through Gioia methodology," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 2287-2321, September.
    4. Lyulyov, Oleksii & Pimonenko, Tetyana & Saura, Jose Ramon & Barbosa, Belem, 2024. "How do e-governance and e-business drive sustainable development goals?," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    5. S. Lacárcel, Francisco Javier & González-Padilla, P. & Matos, Nelson & B. Correia, Marisol, 2024. "Bibliometric measurement of the resource curse and its implication for sustainable development," Resources Policy, Elsevier, vol. 89(C).
    6. Chen, Ting & Xiong, Yu, 2024. "Product positioning of low-carbon products based on blockchain-enabled product communities," Technovation, Elsevier, vol. 132(C).
    7. Hao Jing & Guimin Qu & Ning Qi, 2023. "Influence of Entrepreneurial Orientation on Open Innovation of Military-Civilian Integration Enterprises in China: The Mediating Effect of Organization Legitimacy," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    8. David B. Audretsch & Maksim Belitski & Rosa Caiazza & Farzana Chowdhury & Matthias Menter, 2023. "Entrepreneurial growth, value creation and new technologies," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1535-1551, October.
    9. Ballerini, Jacopo & Ključnikov, Aleksandr & Juárez-Varón, David & Bresciani, Stefano, 2024. "The e-commerce platform conundrum: How manufacturers' leanings affect their internationalization," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    10. Cui, Xiling & Zhu, Zhongshan & Liu, Libo & Zhou, Qiang & Liu, Qiang, 2024. "Anomaly detection in consumer review analytics for idea generation in product innovation: Comparing machine learning and deep learning techniques," Technovation, Elsevier, vol. 134(C).
    11. Hui Gao & Suming Wu, 2023. "The Influence of Ambidextrous Knowledge Search on Technological Innovation: The Mediating Role of Knowledge Base," SAGE Open, , vol. 13(4), pages 21582440231, December.
    12. Vasi, Melissa & Sansone, Giuliano & English, Vincent, 2024. "Exogenous crises and SMEs resilience: The Dynamic Open Innovation Funnel," Technovation, Elsevier, vol. 129(C).
    13. Ladu, Luana & Koch, Claudia & Asna Ashari, Parsa & Blind, Knut & Castka, Pavel, 2024. "Technology adoption and digital maturity in the conformity assessment industry: Empirical evidence from an international study," Technology in Society, Elsevier, vol. 77(C).
    14. Cottafava, Dario & Ascione, Grazia Sveva & Corazza, Laura & Dhir, Amandeep, 2022. "Sustainable development goals research in higher education institutions: An interdisciplinarity assessment through an entropy-based indicator," Journal of Business Research, Elsevier, vol. 151(C), pages 138-155.
    15. Chen, Xin & Guo, Shuojia & Xiong, Jie & Ye, Zhuxin, 2023. "Customer engagement, dependence and loyalty: An empirical study of Chinese customers in multitouch service encounters," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    16. Juan J. Lull & Roberto Cervelló-Royo & José Luis Galdón, 2024. "Crossroads between Big Data and entrepreneurship: current key trends," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 2763-2790, December.
    17. Lacárcel, Francisco Javier S. & Huete, Raquel & Zerva, Konstantina, 2024. "Decoding digital nomad destination decisions through user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    18. Suder, Marcin & Gurgul, Henryk & Barbosa, Belem & Machno, Artur & Lach, Łukasz, 2024. "Effectiveness of ATM withdrawal forecasting methods under different market conditions," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    19. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    20. Hua Tang, 2022. "The Effect of ESG Performance on Corporate Innovation in China: The Mediating Role of Financial Constraints and Agency Cost," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

    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:gam:jadmsc:v:13:y:2023:i:9:p:198-:d:1233857. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.