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Success factors of innovations

Author

Listed:
  • Sterenn Lucas
  • Louis-Georges Soler
  • Etienne Rouvin
Abstract
The French seafood sector is currently confronted with increasing competition from imported products, price fluctuations and new challenges such as environmental issues. In the face of these issues, producers may not be able to meet consumer expectations, and new products intended to boost growth in the seafood sector may not succeed. To clarify the drivers of competitiveness in the seafood sector, a greater understanding of the success factors behind seafood innovation is needed. We use an original database obtained from the merger of two databases. We combine Mintel’s Global New Products Database, which identifies new products launched in France in 2010, 2011 and 2012, with consumption data spanning 2010 to 2014 from a household panel (Kantar). The data allow us to track the quantities of 246 new products purchased in the year after their launch. We run an ordered logit model to measure the impact of product, marketing and market variables on the probability of a product becoming successful. We identify three possibilities: success, i.e., the product is still on the market one year after its launch with an increased quantity; stagnation, i.e., the product is still on the market one year after its launch with a decreased quantity; and failure, i.e., the product is no longer on the market at all a year after its launch. We also run a Cox proportional hazards model with the products’ time on the market as the dependent variable. The model estimates the time that elapses before the product disappears. The results show that three kinds of factors influence competitiveness: firm characteristics (size, specialization), market economic situation and, to a lesser extent, the marketing process.

Suggested Citation

  • Sterenn Lucas & Louis-Georges Soler & Etienne Rouvin, 2020. "Success factors of innovations," Working Papers SMART 20-04, INRAE UMR SMART.
    • Handle: RePEc:rae:wpaper:202004
    as

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    File URL: https://ageconsearch.umn.edu/record/302471
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    References listed on IDEAS

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    1. Czarnitzki, Dirk & Hanel, Petr & Rosa, Julio Miguel, 2011. "Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms," Research Policy, Elsevier, vol. 40(2), pages 217-229, March.
    2. Johnston, Robert J. & Roheim, Cathy A., 2006. "A Battle of Taste and Environmental Convictions for Ecolabeled Seafood: A Contingent Ranking Experiment," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-18, August.
    3. Carsten Eckel & J. Peter Neary, 2010. "Multi-Product Firms and Flexible Manufacturing in the Global Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(1), pages 188-217.
    4. Thomas Astebro & John L. Michela, 2005. "Predictors of the Survival of Innovations," Post-Print hal-00476886, HAL.
    5. Buesa, Mikel & Heijs, Joost & Baumert, Thomas, 2010. "The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach," Research Policy, Elsevier, vol. 39(6), pages 722-735, July.
    6. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    7. Frédéric Salladarré & Dorothée Brécard & Sterenn Lucas & Pierrick Ollivier, 2016. "Are French consumers ready to pay a premium for eco-labeled seafood products? A contingent valuation estimation with heterogeneous anchoring," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 247-258, March.
    8. Tomlinson, Philip R., 2010. "Co-operative ties and innovation: Some new evidence for UK manufacturing," Research Policy, Elsevier, vol. 39(6), pages 762-775, July.
    9. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    10. Menrad, K., 2004. "Innovations in the food industry in Germany," Research Policy, Elsevier, vol. 33(6-7), pages 845-878, September.
    11. Brécard, Dorothée & Hlaimi, Boubaker & Lucas, Sterenn & Perraudeau, Yves & Salladarré, Frédéric, 2009. "Determinants of demand for green products: An application to eco-label demand for fish in Europe," Ecological Economics, Elsevier, vol. 69(1), pages 115-125, November.
    12. Delre, S.A. & Jager, W. & Bijmolt, T.H.A. & Janssen, M.A., 2007. "Targeting and timing promotional activities: An agent-based model for the takeoff of new products," Journal of Business Research, Elsevier, vol. 60(8), pages 826-835, August.
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    More about this item

    Keywords

    Innovation; measurement of success; seafood sector; ordered logit model; Cox model;
    All these keywords.

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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