IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v26y2024i5d10.1007_s10796-021-10220-x.html
   My bibliography  Save this article

Implementing Vertical Integration in the Industry 4.0 Journey: Which Factors Influence the Process of Information Systems Adoption?

Author

Listed:
  • Verônica Maurer Tabim

    (Universidade Federal do Rio Grande do Sul)

  • Néstor Fabián Ayala

    (Universidade Federal do Rio Grande do Sul)

  • Alejandro G. Frank

    (Universidade Federal do Rio Grande do Sul)

Abstract

One of the key principles of Industry 4.0 is the implementation of vertical integration, which considers the integration of information systems from different hierarchical levels in a company to support decision-making with real-time data flows. Companies face challenges when they want to implement vertical integration, which is not trivial due to the risks inherent to the decision stages of adoption. We investigate the main factors influencing the different stages of adoption of vertical integration to provide a clearer view of what managers should consider at each stage. We adopt a multi-case study approach based on the investigation of ten companies that followed this adoption process. We develop a framework with 22 factors deployed in the three stages of decision (knowledge, persuasion, and final decision) and three main dimensions of analysis: technology, organization, and environment. We analyze the potential tensions between these factors and show how managers should balance such factors during the decision stages.

Suggested Citation

  • Verônica Maurer Tabim & Néstor Fabián Ayala & Alejandro G. Frank, 2024. "Implementing Vertical Integration in the Industry 4.0 Journey: Which Factors Influence the Process of Information Systems Adoption?," Information Systems Frontiers, Springer, vol. 26(5), pages 1615-1632, October.
  • Handle: RePEc:spr:infosf:v:26:y:2024:i:5:d:10.1007_s10796-021-10220-x
    DOI: 10.1007/s10796-021-10220-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-021-10220-x
    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/s10796-021-10220-x?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. Maduku, Daniel K. & Mpinganjira, Mercy & Duh, Helen, 2016. "Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework," International Journal of Information Management, Elsevier, vol. 36(5), pages 711-723.
    2. Jaqueline Iaksch & Ederson Fernandes & Milton Borsato, 2021. "Digitalization and Big data in smart farming – a review," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(2), pages 333-349, April.
    3. Marcon, Arthur & Ribeiro, Jose Luis Duarte, 2021. "How do startups manage external resources in innovation ecosystems? A resource perspective of startups’ lifecycle," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Janssen, Marijn & Weerakkody, Vishanth & Ismagilova, Elvira & Sivarajah, Uthayasankar & Irani, Zahir, 2020. "A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors," International Journal of Information Management, Elsevier, vol. 50(C), pages 302-309.
    5. Saghiri, Soroosh & Wilding, Richard, 2021. "On the effectiveness of supplier development programs: The role of supply-side moderators," Technovation, Elsevier, vol. 103(C).
    6. Oliveira, Tiago & Martins, Ricardo & Sarker, Saonee & Thomas, Manoj & Popovič, Aleš, 2019. "Understanding SaaS adoption: The moderating impact of the environment context," International Journal of Information Management, Elsevier, vol. 49(C), pages 1-12.
    7. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    8. Ramzi El-Haddadeh, 2020. "Digital Innovation Dynamics Influence on Organisational Adoption: The Case of Cloud Computing Services," Information Systems Frontiers, Springer, vol. 22(4), pages 985-999, August.
    9. Yeo, Benjamin & Grant, Delvin, 2018. "Predicting service industry performance using decision tree analysis," International Journal of Information Management, Elsevier, vol. 38(1), pages 288-300.
    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. Ravi Seethamraju & Angela Hecimovic, 2023. "Adoption of artificial intelligence in auditing: An exploratory study," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 780-800, November.
    2. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    3. Michal Gluszak & Remigiusz Gawlik & Malgorzata Zieba, 2019. "Smart and Green Buildings Features in the Decision-Making Hierarchy of Office Space Tenants: An Analytic Hierarchy Process Study," Administrative Sciences, MDPI, vol. 9(3), pages 1-16, July.
    4. Raffaele Fabio Ciriello & Alexandra Cecilie Gjøl Torbensen & Magnus Rotvit Perlt Hansen & Christoph Müller-Bloch, 2023. "Blockchain-based digital rights management systems: Design principles for the music industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    5. Maciej Urbaniak & Piotr Rogala & Piotr Kafel, 2023. "Expectations of manufacturing companies regarding future priorities of improvement actions taken by their suppliers," Operations Management Research, Springer, vol. 16(1), pages 296-310, March.
    6. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    8. Ismael Cristofer Baierle & Francisco Tardelli da Silva & Ricardo Gonçalves de Faria Correa & Jones Luís Schaefer & Matheus Becker Da Costa & Guilherme Brittes Benitez & Elpidio Oscar Benitez Nara, 2022. "Competitiveness of Food Industry in the Era of Digital Transformation towards Agriculture 4.0," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    9. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    10. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    11. Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    12. Saumyaranjan Sahoo & Ashwani Kumar & Sachin Kumar Mangla & Anurag Tiwari, 2024. "Industry 4.0 adoption and eco‐product innovation capability—Understanding the role of supply chain integration," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 8798-8814, December.
    13. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
    14. Mykola Odrekhivskyi & Orysya Pshyk-Kovalska & Volodymyr Zhezhukha & Iryna Ivanochko, 2022. "Intelligent Management of Enterprise Business Processes," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    15. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    16. Johannes Sedlmeir & Jonathan Lautenschlager & Gilbert Fridgen & Nils Urbach, 2022. "The transparency challenge of blockchain in organizations," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1779-1794, September.
    17. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    18. Siqing Shan & Xin Wen & Yigang Wei & Zijin Wang & Yong Chen, 2020. "Intelligent manufacturing in industry 4.0: A case study of Sany heavy industry," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 679-690, July.
    19. Natália Barbosa, 2024. "Artificial Intelligence and exporting performance:Firm-level evidence from Portugal," GEE Papers 183, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Sep 2024.
    20. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).

    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:infosf:v:26:y:2024:i:5:d:10.1007_s10796-021-10220-x. 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.