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Effects of innovation management system standardization on firms: evidence from text mining annual reports

Author

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  • Gaizka Garechana

    (University of the Basque Country UPV/EHU)

  • Rosa Río-Belver

    (University of the Basque Country UPV/EHU)

  • Iñaki Bildosola

    (University of the Basque Country UPV/EHU)

  • Marisela Rodríguez Salvador

    (Tecnológico de Monterrey)

Abstract

Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

Suggested Citation

  • Gaizka Garechana & Rosa Río-Belver & Iñaki Bildosola & Marisela Rodríguez Salvador, 2017. "Effects of innovation management system standardization on firms: evidence from text mining annual reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1987-1999, June.
    • Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2345-7
    DOI: 10.1007/s11192-017-2345-7
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    References listed on IDEAS

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    Cited by:

    1. Georgia Boskou & Efstathios Kirkos & Charalambos Spathis, 2018. "Assessing Internal Audit with Text Mining," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-22, June.
    2. René Lezama-Nicolás & Marisela Rodríguez-Salvador & Rosa Río-Belver & Iñaki Bildosola, 2018. "A bibliometric method for assessing technological maturity: the case of additive manufacturing," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1425-1452, December.
    3. Sabrina L. Woltmann & Lars Alkærsig, 2018. "Tracing university–industry knowledge transfer through a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 449-472, October.
    4. Hongjun Guan & Zhen Zhang & Aiwu Zhao & Jinyuan Jia & Shuang Guan, 2019. "Research on Innovation Behavior and Performance of New Generation Entrepreneur Based on Grounded Theory," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    5. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    6. Parvez Alam Khan & Satirenjit Kaur Johl & Shireenjit K. Johl, 2021. "Does adoption of ISO 56002‐2019 and green innovation reporting enhance the firm sustainable development goal performance? An emerging paradigm," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2922-2936, November.
    7. M-Chukri Idris & Alptekin Durmuşoğlu, 2021. "Innovation Management Systems and Standards: A Systematic Literature Review and Guidance for Future Research," Sustainability, MDPI, vol. 13(15), pages 1-31, July.
    8. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    9. Marisela Rodríguez-Salvador & Rosa María Rio-Belver & Gaizka Garechana-Anacabe, 2017. "Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: The case of 3D bioprinting," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-22, June.

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