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Performance Effects of Exploratory and Exploitative Innovation Strategies and the Moderating Role of External Innovation Partners

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  • Daniel K. Schamberger
  • Nina J. Cleven
  • Malte Brettel

Abstract

In today's dynamic environment, the involvement of external partners in the innovation process is frequently assumed to be a panacea to cut costs while improving outcomes. In this study, we scrutinize how different collaboration types influence the effects of exploitative and exploratory innovation strategies on new product development (NPD) performance. For our analyses, we draw on a survey comprising a sample of 254 technology-based German firms. Our findings indicate that exploitative strategies are best pursued without comprehensive external collaborations, while the involvement of several partners in a balanced approach is most promising for exploratory strategies. Joint exploration with competitors, in particular, shows the highest effects on NPD performance. The paper discusses the findings and provides several implications for future research.

Suggested Citation

  • Daniel K. Schamberger & Nina J. Cleven & Malte Brettel, 2013. "Performance Effects of Exploratory and Exploitative Innovation Strategies and the Moderating Role of External Innovation Partners," Industry and Innovation, Taylor & Francis Journals, vol. 20(4), pages 336-356, May.
    • Handle: RePEc:taf:indinn:v:20:y:2013:i:4:p:336-356
    DOI: 10.1080/13662716.2013.805928
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    Citations

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    Cited by:

    1. Nourhene BLIBECH & Sarra Berraies, 2018. "The impact of CEO' duality and board's size and independence on firms’ innovation and financial performance," E3 Journal of Business Management and Economics., E3 Journals, vol. 9(1), pages 022-029.
    2. Stephanie Lange & Marcus Wagner, 2021. "The influence of exploratory versus exploitative acquisitions on innovation output in the biotechnology industry," Small Business Economics, Springer, vol. 56(2), pages 659-680, February.
    3. Yang, Miaomiao & Wang, Juanru & Zhang, Xiaodi, 2021. "Boundary-spanning search and sustainable competitive advantage: The mediating roles of exploratory and exploitative innovations," Journal of Business Research, Elsevier, vol. 127(C), pages 290-299.
    4. Salem AlAbri & Seyedeh Khadijeh Taghizadeh & Golam Mostafa Khan & Syed Abidur Rahman, 2022. "Exploratory innovation, exploitative innovation and operational performance: influence of informal social relations in environmental competitiveness," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1223-1244, June.
    5. Belitski, Maksim & Rejeb, Nada, 2022. "Does open customer innovation model hold for family firms?," Journal of Business Research, Elsevier, vol. 145(C), pages 334-346.
    6. Stefan, Ioana & Bengtsson, Lars, 2017. "Unravelling appropriability mechanisms and openness depth effects on firm performance across stages in the innovation process," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 252-260.
    7. Sarra Berraies & Belgacem Bchini, 2019. "Effect Of Leadership Styles On Financial Performance: Mediating Roles Of Exploitative And Exploratory Innovations Case Of Knowledge-Intensive Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(03), pages 1-33, April.
    8. Audretsch, David Bruce & Belitski, Maksim & Guerrero, Maribel, 2022. "The dynamic contribution of innovation ecosystems to schumpeterian firms: A multi-level analysis," Journal of Business Research, Elsevier, vol. 144(C), pages 975-986.
    9. Luigi Cantone & Pierpaolo Testa & Svend Hollensen & Giuseppe Fabio Cantone, 2019. "Outsourcing New Product Development Fostered By Disruptive Technological Innovation: A Decision-Making Model," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-45, January.
    10. Wang, Xinyi & Zeng, Deming & Dai, Haiwen & Zhu, You, 2020. "Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

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