IDEAS home Printed from https://ideas.repec.org/a/spr/snbeco/v3y2023i9d10.1007_s43546-023-00554-w.html
   My bibliography  Save this article

Impact of business management and data utilization on process innovation in the Japanese wholesale industry

Author

Listed:
  • Hidemichi Fujii

    (Kyushu University)

  • Satoshi Washio

    (InfoCom Research, Inc.)

  • Akihiko Shinozaki

    (Kyushu University)

Abstract

This study empirically analyzes how business management and data utilization efforts affect innovation behavior in the Japanese wholesale industry using individual data from a survey of business establishments. The analysis covered 2954 valid responses from business establishments to a questionnaire survey conducted in FY 2018. The study revealed that in the wholesale industry overall, process innovation was more actively implemented in establishments with higher levels of organizational management structure development, frequency of feedback through data use, and degree of data utilization. Analysis by sector revealed that the impact of business management and data use on innovation behavior varied across sectors. It also revealed that business management and data use did not have a significant relationship with innovation behavior in the textile and clothing wholesale sector, which handles products that are easily influenced by trends and temperatures in a complex supply chain.

Suggested Citation

  • Hidemichi Fujii & Satoshi Washio & Akihiko Shinozaki, 2023. "Impact of business management and data utilization on process innovation in the Japanese wholesale industry," SN Business & Economics, Springer, vol. 3(9), pages 1-21, September.
    • Handle: RePEc:spr:snbeco:v:3:y:2023:i:9:d:10.1007_s43546-023-00554-w
    DOI: 10.1007/s43546-023-00554-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43546-023-00554-w
    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/s43546-023-00554-w?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. Nicholas Bloom & Erik Brynjolfsson & Lucia Foster & Ron Jarmin & Megha Patnaik & Itay Saporta-Eksten & John Van Reenen, 2019. "What Drives Differences in Management Practices?," American Economic Review, American Economic Association, vol. 109(5), pages 1648-1683, May.
    Full references (including those not matched with items on IDEAS)

    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. Vallés, Javier & Salas Fumás, Vicente & San Juan, Lucio, 2022. "Corporate economic profits in the euro area: The relevance of cost competitive advantage," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 569-585.
    2. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    3. Alex Coad & Agustí Segarra-Blasco & Mercedes Teruel, 2021. "A bit of basic, a bit of applied? R&D strategies and firm performance," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1758-1783, December.
    4. Kambayashi, Ryo & Ohyama, Atsushi & Hori, Nobuko, 2021. "Management practices and productivity in Japan: Evidence from six industries in JP MOPS," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    5. Bloom, Nick & Manova, Kalina & Teng Sun, Stephen & Van Reenen, John & Yu, Zhihong, 2018. "Managing trade: evidence from China and the US," LSE Research Online Documents on Economics 88703, London School of Economics and Political Science, LSE Library.
    6. Christopher Cornwell & Ian M. Schmutte & Daniela Scur, 2021. "Building a Productive Workforce: The Role of Structured Management Practices," Management Science, INFORMS, vol. 67(12), pages 7308-7321, December.
    7. Bilicka, Katarzyna & Scur, Daniela, 2024. "Organizational capacity and profit shifting," Journal of Public Economics, Elsevier, vol. 238(C).
    8. Pierre Lortie, 2019. "Nurturing Global Growth Companies: Time For A New Policy Toolkit," SPP Research Papers, The School of Public Policy, University of Calgary, vol. 12(27), September.
    9. Katarzyna A. Bilicka & André Seidel, 2022. "Measuring Firm Activity from Outer Space," NBER Working Papers 29945, National Bureau of Economic Research, Inc.
    10. Philippe Aghion & Nicholas Bloom & Brian Lucking & Raffaella Sadun & John Van Reenen, 2021. "Turbulence, Firm Decentralization, and Growth in Bad Times," American Economic Journal: Applied Economics, American Economic Association, vol. 13(1), pages 133-169, January.
    11. Guo, Yuchen Mo & Falck, Oliver & Langer, Christina & Lindlacher, Valentin & Wiederhold, Simon, 2024. "Training, Automation, and Wages: Worker-Level Evidence," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302366, Verein für Socialpolitik / German Economic Association.
    12. Guido Friebel & Matthias Heinz & Mitchell Hoffman & Nick Zubanov, 2023. "What Do Employee Referral Programs Do? Measuring the Direct and Overall Effects of a Management Practice," Journal of Political Economy, University of Chicago Press, vol. 131(3), pages 633-686.
    13. Jacopo Ponticelli & Qiping Xu & Stefan Zeume, 2023. "Temperature and Local Industry Concentration," Working Papers 23-51, Center for Economic Studies, U.S. Census Bureau.
    14. Jo, Ara & Miftakhova, Alena, 2024. "How constant is constant elasticity of substitution? Endogenous substitution between clean and dirty energy," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    15. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    16. Jin, Zhangfeng, 2021. "The Legacies of the Soviet Influence in the 1950s: China's 156 Major Industrial Projects," GLO Discussion Paper Series 932, Global Labor Organization (GLO).
    17. (Jianqiu) Bai, John & Mkrtchyan, Anahit, 2023. "What do outside CEOs really do? Evidence from plant-level data," Journal of Financial Economics, Elsevier, vol. 147(1), pages 27-48.
    18. Tomiura, Eiichi & Kumanomido, Hiroshi, 2023. "Impacts of inter-firm relations on the adoption of remote work: Evidence from a survey in Japan during the COVID-19 pandemic," Japan and the World Economy, Elsevier, vol. 68(C).
    19. Jacquelyn Pless, 2022. "To Starve or to Stoke? Understanding Whether Divestment versus Investment Can Steer (Green) Innovation," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 2, pages 107-147, National Bureau of Economic Research, Inc.
    20. Manav Raj & Robert Seamans, 2018. "Artificial Intelligence, Labor, Productivity, and the Need for Firm-Level Data," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 553-565, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Process innovation; Data utilization; Management and organizational practices survey; Wholesale industry; Japan;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

    Statistics

    Access and download statistics

    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:snbeco:v:3:y:2023:i:9:d:10.1007_s43546-023-00554-w. 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.