IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v64y2022i6d10.1007_s12599-022-00777-5.html
   My bibliography  Save this article

Call for Papers, Issue 5/2024

Author

Listed:
  • Thomas Grisold

    (University of Liechtenstein)

  • Christian Janiesch

    (TU Dortmund University)

  • Maximilian Röglinger

    (University of Bayreuth)

  • Moe Thandar Wynn

    (Queensland University of Technology)

Abstract

No abstract is available for this item.

Suggested Citation

  • Thomas Grisold & Christian Janiesch & Maximilian Röglinger & Moe Thandar Wynn, 2022. "Call for Papers, Issue 5/2024," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 841-843, December.
    • Handle: RePEc:spr:binfse:v:64:y:2022:i:6:d:10.1007_s12599-022-00777-5
    DOI: 10.1007/s12599-022-00777-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-022-00777-5
    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/s12599-022-00777-5?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. Georgi Dimov Kerpedzhiev & Ulrich Matthias König & Maximilian Röglinger & Michael Rosemann, 2021. "An Exploration into Future Business Process Management Capabilities in View of Digitalization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 83-96, April.
    2. Abayomi Baiyere & Hannu Salmela & Tommi Tapanainen, 2020. "Digital transformation and the new logics of business process management," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(3), pages 238-259, May.
    3. Christian Janiesch & Marcus Fischer & Axel Winkelmann & Valentin Nentwich, 2019. "Specifying autonomy in the Internet of Things: the autonomy model and notation," Information Systems and e-Business Management, Springer, vol. 17(1), pages 159-194, March.
    4. Michael Rosemann & Jan Brocke, 2015. "The Six Core Elements of Business Process Management," International Handbooks on Information Systems, in: Jan vom Brocke & Michael Rosemann (ed.), Handbook on Business Process Management 1, edition 2, pages 105-122, Springer.
    5. Katharina Dittrich & Stéphane Guérard & David Seidl, 2016. "Talking About Routines: The Role of Reflective Talk in Routine Change," Organization Science, INFORMS, vol. 27(3), pages 678-697, June.
    6. 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.
    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. Jonathan Brock & Katharina Brennig & Bernd Löhr & Christian Bartelheimer & Sebastian Enzberg & Roman Dumitrescu, 2024. "Improving Process Mining Maturity – From Intentions to Actions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 585-605, October.
    2. Paola Lara Machado & Montijn Ven & Banu Aysolmaz & Oktay Turetken & Jan Brocke, 2024. "Navigating Business Model Redesign: The Compass Method for Identifying Changes to the Operating Model," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 607-638, October.
    3. Tobias Wuttke & Thomas Haskamp & Michael Perscheid & Falk Uebernickel, 2024. "Building the Processes Behind the Product: How Digital Ventures Create Business Processes That Support Their Growth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 565-583, October.
    4. 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.
    5. Gilstrap, J. Bruce & Hart, Timothy A., 2020. "How employee behaviors effect organizational change and stability," Journal of Business Research, Elsevier, vol. 109(C), pages 120-131.
    6. Carolina Rojas-Córdova & Amanda J. Williamson & Julio A. Pertuze & Gustavo Calvo, 2023. "Why one strategy does not fit all: a systematic review on exploration–exploitation in different organizational archetypes," Review of Managerial Science, Springer, vol. 17(7), pages 2251-2295, October.
    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. Gajendra Liyanaarachchi & Giampaolo Viglia & Fidan Kurtaliqi, 2024. "Addressing challenges of digital transformation with modified blockchain," Post-Print hal-04440365, HAL.
    11. Christof Weinhardt & Hans-Gert Gräbe & Ralf Laue & Thomas Grisold & Steven Groß & Katharina Stelzl & Jan vom Brocke & Jan Mendling & Maximilian Röglinger & Michael Rosemann, 2023. "Statements on the Contribution by Grisold et al. from Issue 2/2022," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(2), pages 229-232, April.
    12. 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.
    13. Hadi Al-Abrrow & Jaber Ali & Alhamzah Alnoor, 2022. "Multilevel Influence of Routine Redesigning, Legitimacy and Functional Affordance on Sustainability Accounting: Mediating Role of Organizational Sense-making," Global Business Review, International Management Institute, vol. 23(2), pages 287-312, April.
    14. Thomas Grisold & Christian Janiesch & Maximilian Röglinger & Moe Thandar Wynn, 2024. "Managing Dynamics in and Around Business Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 533-540, October.
    15. 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.
    16. Martin Lehnert & Alexander Linhart & Maximilian Röglinger, 2016. "Value-based process project portfolio management: integrated planning of BPM capability development and process improvement," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 377-419, August.
    17. Yunsi Chen & Sumin Hu & Haoqiang Wu, 2023. "The Digital Economy, Green Technology Innovation, and Agricultural Green Total Factor Productivity," Agriculture, MDPI, vol. 13(10), pages 1-15, October.
    18. 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).
    19. 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.
    20. 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.

    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:64:y:2022:i:6:d:10.1007_s12599-022-00777-5. 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.