IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v67y2025i1d10.1007_s12599-024-00910-6.html
   My bibliography  Save this article

Navigating the New Frontier of Information Systems Engineering

Author

Listed:
  • Christoph Rosenkranz

    (University of Cologne)

  • Viktoria Stray

    (University of Oslo)

  • Manuel Wiesche

    (TU Dortmund University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christoph Rosenkranz & Viktoria Stray & Manuel Wiesche, 2025. "Navigating the New Frontier of Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(1), pages 1-5, February.
    • Handle: RePEc:spr:binfse:v:67:y:2025:i:1:d:10.1007_s12599-024-00910-6
    DOI: 10.1007/s12599-024-00910-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-024-00910-6
    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/s12599-024-00910-6?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. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
    2. Likoebe M. Maruping & Sabine Matook, 2020. "The evolution of software development orchestration: current state and an agenda for future research," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(5), pages 443-457, September.
    3. Anna Wiedemann & Manuel Wiesche & Heiko Gewald & Helmut Krcmar, 2020. "Understanding how DevOps aligns development and operations: a tripartite model of intra-IT alignment," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(5), pages 458-473, September.
    4. Nils Urbach & Frederik Ahlemann & Tilo Böhmann & Paul Drews & Walter Brenner & Florian Schaudel & Reinhard Schütte, 2019. "The Impact of Digitalization on the IT Department," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(1), pages 123-131, February.
    5. Holger Karl & Dennis Kundisch & Friedhelm Meyer auf der Heide & Heike Wehrheim, 2020. "A Case for a New IT Ecosystem: On-The-Fly Computing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 467-481, December.
    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. Christoph Rosenkranz & Viktoria Stray & Manuel Wiesche, 2023. "Call for Papers, Issue 1/2025," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 483-486, August.
    2. Jan-Hendrik Schmidt & Sebastian Clemens Bartsch & Martin Adam & Alexander Benlian, 2025. "Elevating Developers’ Accountability Awareness in AI Systems Development," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(1), pages 109-135, February.
    3. Sabine Matook & Yazhu Maggie Wang & Micheal Axelsen, 2025. "Experiential Learning for Citizen Developers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 67(1), pages 7-30, February.
    4. Samuli Laato & Matti Mäntymäki & A. K.M. Najmul Islam & Sami Hyrynsalmi & Teemu Birkstedt, 2023. "Trends and Trajectories in the Software Industry: implications for the future of work," Information Systems Frontiers, Springer, vol. 25(2), pages 929-944, April.
    5. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    6. Mostafa Bigdeli & Mahsa Akbari, 2024. "Machine-learning-based Classification of Customers’ Behavioural Model in Instagram," Paradigm, , vol. 28(2), pages 223-240, December.
    7. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    8. Najla Alharbi & Bashayer Alkalifah & Ghaida Alqarawi & Murad A. Rassam, 2024. "Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection," Future Internet, MDPI, vol. 16(10), pages 1-22, October.
    9. Rui Ma & Jia Wang & Wei Zhao & Hongjie Guo & Dongnan Dai & Yuliang Yun & Li Li & Fengqi Hao & Jinqiang Bai & Dexin Ma, 2022. "Identification of Maize Seed Varieties Using MobileNetV2 with Improved Attention Mechanism CBAM," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
    10. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
    11. Cheng Yang & Fuhao Sun & Yujie Zou & Zhipeng Lv & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Haoyang Cui, 2024. "A Survey of Photovoltaic Panel Overlay and Fault Detection Methods," Energies, MDPI, vol. 17(4), pages 1-37, February.
    12. Hong, Jichao & Li, Kerui & Liang, Fengwei & Yang, Haixu & Zhang, Chi & Yang, Qianqian & Wang, Jiegang, 2024. "A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks," Energy, Elsevier, vol. 289(C).
    13. Shuai Sang & Lu Li, 2024. "A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism," Mathematics, MDPI, vol. 12(7), pages 1-20, March.
    14. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
    15. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
    16. Lisa Gussek & Manuel Wiesche, 2023. "IT Professionals in the Gig Economy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(5), pages 555-575, October.
    17. Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
    18. Junwei Zhou & Yanguo Fan & Qingchun Guan & Guangyue Feng, 2024. "Research on Drought Monitoring Based on Deep Learning: A Case Study of the Huang-Huai-Hai Region in China," Land, MDPI, vol. 13(5), pages 1-20, May.
    19. Daniel Fürstenau & Hannes Rothe & Matthias Sandner, 2021. "Leaving the Shadow: A Configurational Approach to Explain Post-identification Outcomes of Shadow IT Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 97-111, April.
    20. Benjamin Mueller & Nils Urbach, 2021. "Understanding strategy assessment in IS management," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1245-1273, December.

    More about this item

    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:binfse:v:67:y:2025:i:1:d:10.1007_s12599-024-00910-6. 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.