IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/135656.html
   My bibliography  Save this paper

Artificial intelligence and machine learning

Author

Listed:
  • Kühl, Niklas
  • Schemmer, Max
  • Goutier, Marc
  • Satzger, Gerhard

Abstract

No abstract is available for this item.

Suggested Citation

  • Kühl, Niklas & Schemmer, Max & Goutier, Marc & Satzger, Gerhard, 2022. "Artificial intelligence and machine learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 135656, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:135656
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/135656/
    as

    Download full text from publisher

    File URL: https://link.springer.com/article/10.1007/s12525-022-00598-0
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kühl, N. & Mühlthaler, M. & Goutier, Marc, 2020. "Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130106, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    3. Niklas Kühl & Marius Mühlthaler & Marc Goutier, 2020. "Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 351-367, June.
    4. Ritchie, Stephen G., 1990. "A Knowledge- Based Decision Support Architecture for Advanced Traffic Management," University of California Transportation Center, Working Papers qt9818b161, University of California Transportation Center.
    5. Ritchie, Stephen G., 1990. "A Knowledge-Based Decision Support Architecture for Advanced Traffic Management," University of California Transportation Center, Working Papers qt7qv4w8kj, University of California Transportation Center.
    6. Robin Hirt & Niklas Kühl & Gerhard Satzger, 2019. "Cognitive computing for customer profiling: meta classification for gender prediction," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 93-106, March.
    7. Andreas Hein & Jörg Weking & Maximilian Schreieck & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2019. "Value co-creation practices in business-to-business platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 503-518, September.
    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. 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.
    2. Rainer Alt, 2022. "Electronic Markets on AI and standardization," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1795-1805, December.
    3. Goutier, Marc & Diebel, Christopher & Adam, Martin & Benlian, Alexander, 2024. "Proactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 142985, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    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. Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
    2. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    3. Bielli, Maurizio & Reverberi, Pierfrancesco, 1996. "New operations research and artificial intelligence approaches to traffic engineering problems," European Journal of Operational Research, Elsevier, vol. 92(3), pages 550-572, August.
    4. Prosser, Neil A. & Ritchie, Stephen G., 1992. "Real-Time Knowledge-Based Integration Of Freeway Surveillance Data," University of California Transportation Center, Working Papers qt3j5655n7, University of California Transportation Center.
    5. S. Aly & I. Vrana, 2006. "Integrating multiple fuzzy expert systems under restricting requirements," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 52(4), pages 187-196.
    6. Akhtar Ali Shah, S. & Kim, Hojung & Baek, Seungkirl & Chang, Hyunho & Ahn, Byung Ha, 2008. "System architecture of a decision support system for freeway incident management in Republic of Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 799-810, June.
    7. Kullak, Franziska S. & Baier, Daniel & Woratschek, Herbert, 2023. "How do customers meet their needs in in-store and online fashion shopping? A comparative study based on the jobs-to-be-done theory," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    8. Andreas J. Steur & Fabian Fritzsche & Mischa Seiter, 2022. "It’s all about the text: An experimental investigation of inconsistent reviews on restaurant booking platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1187-1220, September.
    9. Konstantinos Sikelis & George E. Tsekouras & Konstantinos Kotis, 2021. "Ontology-Based Feature Selection: A Survey," Future Internet, MDPI, vol. 13(6), pages 1-28, June.
    10. Sanaz Ghorbanloo & Sajjad Shokouhyar, 2023. "Consumers' attitude footprint on sustainable development in developed and developing countries: a case study in the electronic industry," Operations Management Research, Springer, vol. 16(3), pages 1444-1475, September.
    11. Ritchie, Stephen G. & Prosser, Neil A., 1992. "A Real-Time Expert System Approach To Freeway Incident Management," University of California Transportation Center, Working Papers qt432020jq, University of California Transportation Center.
    12. Best, Bernadette & Miller, Kristel & McAdam, Rodney & Maalaoui, Adnane, 2022. "Business model innovation within SPOs: Exploring the antecedents and mechanisms facilitating multi-level value co-creation within a value-network," Journal of Business Research, Elsevier, vol. 141(C), pages 475-494.
    13. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
    14. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    15. NANDINI Widya & GUSTOMO Aurik & SUSHANDOYO Dedy, 2021. "Exploring The Relationship Between Worker S Adaptive Performance And Co-Creation Process In Indonesia S Creative Industry," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 73(2), pages 62-80, May.
    16. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
    17. Mikko Hänninen & Anssi Smedlund, 2021. "Same Old Song with a Different Melody: The Paradox of Market Reach and Financial Performance on Digital Platforms," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1832-1868, November.
    18. 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.
    19. Shen, Lei & Sun, Wanqin & Parida, Vinit, 2023. "Consolidating digital servitization research: A systematic review, integrative framework, and future research directions," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. Nicole Bulawa & Frank Jacob, 2022. "More than a snapshot: dynamic value-in-use emergence in e-services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2471-2489, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dar:wpaper:135656. 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: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    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.