IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v111y2017i3d10.1007_s11192-017-2345-7.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2345-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-017-2345-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Xin Ying Qiu & Padmini Srinivasan & Yong Hu, 2014. "Supervised learning models to predict firm performance with annual reports: An empirical study," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 400-413, February.
    2. Dirk Libaers & Diana Hicks & Alan L. Porter, 2016. "A taxonomy of small firm technology commercialization," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(3), pages 371-405.
    3. Terziovski, Milé & Guerrero, Jose-Luis, 2014. "ISO 9000 quality system certification and its impact on product and process innovation performance," International Journal of Production Economics, Elsevier, vol. 158(C), pages 197-207.
    4. Abdullah Gök & Alec Waterworth & Philip Shapira, 2015. "Use of web mining in studying innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 653-671, January.
    5. Eitan Naveh & Miriam Erez, 2004. "Innovation and Attention to Detail in the Quality Improvement Paradigm," Management Science, INFORMS, vol. 50(11), pages 1576-1586, November.
    6. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    7. Balakrishnan, Ramji & Qiu, Xin Ying & Srinivasan, Padmini, 2010. "On the predictive ability of narrative disclosures in annual reports," European Journal of Operational Research, Elsevier, vol. 202(3), pages 789-801, May.
    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. 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.

    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. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    2. Gehan A. Mousa & Elsayed A. H. Elamir & Khaled Hussainey, 2022. "Using machine learning methods to predict financial performance: Does disclosure tone matter?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 19(1), pages 93-112, March.
    3. Younès El Manzani & Mohamed Larbi Sidmou & Jean-Jack Cegarra, 2018. "Does IS0 9001 quality management system support product innovation? An analysis from the sociotechnical systems theory," Post-Print hal-03080217, HAL.
    4. Jajja, Muhammad Shakeel Sadiq & Asif, Muhammad & Montabon, Frank & Chatha, Kamran Ali, 2020. "The indirect effect of social responsibility standards on organizational performance in apparel supply chains: A developing country perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).
    5. Tsai, Ming-Feng & Wang, Chuan-Ju, 2017. "On the risk prediction and analysis of soft information in finance reports," European Journal of Operational Research, Elsevier, vol. 257(1), pages 243-250.
    6. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    7. Gow, Ian D. & Kaplan, Steven N. & Larcker, David F. & Zakolyukina, Anastasia A., 2016. "CEO Personality and Firm Policies," Research Papers 3444, Stanford University, Graduate School of Business.
    8. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2020. "The interconnectedness of the economic content in the speeches of the US Presidents," Papers 2002.07880, arXiv.org.
    9. Agarwal, Arvind & Gupta, Aparna & Kumar, Arun & Tamilselvam, Srikanth G., 2019. "Learning risk culture of banks using news analytics," European Journal of Operational Research, Elsevier, vol. 277(2), pages 770-783.
    10. L. M. Daphne Yiu & Hugo K. S. Lam & Andy C. L. Yeung & T. C. E. Cheng, 2020. "Enhancing the Financial Returns of R&D Investments through Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1658-1678, July.
    11. Manders, Basak & de Vries, Henk J. & Blind, Knut, 2016. "ISO 9001 and product innovation: A literature review and research framework," Technovation, Elsevier, vol. 48, pages 41-55.
    12. Katsafados, Apostolos G. & Androutsopoulos, Ion & Chalkidis, Ilias & Fergadiotis, Manos & Leledakis, George N. & Pyrgiotakis, Emmanouil G., 2020. "Textual Information and IPO Underpricing: A Machine Learning Approach," MPRA Paper 103813, University Library of Munich, Germany.
    13. Sipos, Norbert & Lukovszki, Lívia & Rideg, András, 2022. "A kisvállalati termék- vagy szolgáltatásinnováció erőforrás-alapú megközelítése [A resource-based view of small business product/service innovation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 929-961.
    14. Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2021. "The interconnectedness of the economic content in the speeches of the US Presidents," Annals of Operations Research, Springer, vol. 299(1), pages 593-615, April.
    15. Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024. "Machine learning in bank merger prediction: A text-based approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
    16. Clougherty, Joseph A. & Grajek, Michał, 2023. "Decertification in quality-management standards by incrementally and radically innovative organizations," Research Policy, Elsevier, vol. 52(1).
    17. Ullah, Barkat, 2022. "The impact of quality certification on SME innovation and the role of institutions," Research in International Business and Finance, Elsevier, vol. 62(C).
    18. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
    19. Drori, Netanel & Hashai, Niron & Clougherty, Joseph A., 2023. "Fire and ice: The incompatible impact of industry-wide domestic patents and international standards on firm internationalization," International Business Review, Elsevier, vol. 32(5).
    20. Peter M. Clarkson & Jordan Ponn & Gordon D. Richardson & Frank Rudzicz & Albert Tsang & Jingjing Wang, 2020. "A Textual Analysis of US Corporate Social Responsibility Reports," Abacus, Accounting Foundation, University of Sydney, vol. 56(1), pages 3-34, 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:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2345-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.