IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v30y2020i2d10.1007_s12525-019-00351-0.html
   My bibliography  Save this article

Supporting customer-oriented marketing with artificial intelligence: automatically quantifying customer needs from social media

Author

Listed:
  • Niklas Kühl

    (Karlsruhe Service Research Institute (KSRI))

  • Marius Mühlthaler

    (Karlsruhe Service Research Institute (KSRI))

  • Marc Goutier

    (Karlsruhe Service Research Institute (KSRI))

Abstract

The elicitation and monitoring of customer needs is an important task for businesses, allowing them to design customer-centric products and services and control marketing activities. While there are different approaches available, most lack in automation, scalability and monitoring capabilities. In this work, we demonstrate the feasibility towards an automated prioritization and quantification of customer needs from social media data. To do so, we apply a supervised machine learning approach on the example of previously labeled Twitter data from the domain of e-mobility. We descriptively code over 1000 German tweets and build eight distinct classification models, so that a resulting artifact can independently determine the probabilities of a tweet containing each of the eight previously defined needs. To increase the scope of application, we deploy the machine learning models as part of a web service for public use. The resulting artifact can provide valuable insights for need elicitation and monitoring when analyzing user-generated content on a large scale.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:elmark:v:30:y:2020:i:2:d:10.1007_s12525-019-00351-0
    DOI: 10.1007/s12525-019-00351-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-019-00351-0
    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/s12525-019-00351-0?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. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    2. Kvaløy, Ola & Nieken, Petra & Schöttner, Anja, 2015. "Hidden benefits of reward: A field experiment on motivation and monetary incentives," European Economic Review, Elsevier, vol. 76(C), pages 188-199.
    3. Stefan Stieglitz & Linh Dang-Xuan & Axel Bruns & Christoph Neuberger, 2014. "Social Media Analytics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 89-96, April.
    4. Richard Cuthbertson & Peder Inge Furseth & Stephen J. Ezell, 2015. "Innovating in a Service-Driven Economy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-40903-4, September.
    5. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    6. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    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. 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.
    2. 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).
    3. Konstantinos Sikelis & George E. Tsekouras & Konstantinos Kotis, 2021. "Ontology-Based Feature Selection: A Survey," Future Internet, MDPI, vol. 13(6), pages 1-28, June.
    4. 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.
    5. 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.
    6. Ahmadi, Sadra & Shokouhyar, Sajjad & Amerioun, Motahare & Salehi Tabrizi, Neda, 2024. "A social media analytics-based approach to customer-centric reverse logistics management of electronic devices: A case study on notebooks," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    7. 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.
    8. 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.
    9. Philipp Ebel & Matthias Söllner & Jan Marco Leimeister & Kevin Crowston & Gert-Jan Vreede, 2021. "Hybrid intelligence in business networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 313-318, June.
    10. 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).

    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. Piller, Frank & Vossen, Alexander & Ihl, Christoph, 2012. "From Social Media to Social Product Development: The Impact of Social Media on Co-Creation of Innovation," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 66(1), pages 7-27.
    2. Beier, Michael & Früh, Sebastian, 2018. "Nutzung von Social Media Plattformen durch Schweizer Spitäler - Eigene Accounts, Nutzungsintensitäten und Reichweiten," EconStor Research Reports 184655, ZBW - Leibniz Information Centre for Economics.
    3. Vasile-Daniel Păvăloaia & Elena-Mădălina Teodor & Doina Fotache & Magdalena Danileţ, 2019. "Opinion Mining on Social Media Data: Sentiment Analysis of User Preferences," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
    4. Shiwei Shen & Marios Sotiriadis & Qing Zhou, 2020. "Could Smart Tourists Be Sustainable and Responsible as Well? The Contribution of Social Networking Sites to Improving Their Sustainable and Responsible Behavior," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    5. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    6. Reilly, Anne H. & Hynan, Katherine A., 2014. "Corporate communication, sustainability, and social media: It's not easy (really) being green," Business Horizons, Elsevier, vol. 57(6), pages 747-758.
    7. TANASE, George Cosmin, 2017. "Managing the Brand and Communication in Social Media," Romanian Distribution Committee Magazine, Romanian Distribution Committee, vol. 8(2), pages 20-22, June.
    8. Saridakis, George & Benson, Vladlena & Ezingeard, Jean-Noel & Tennakoon, Hemamali, 2016. "Individual information security, user behaviour and cyber victimisation: An empirical study of social networking users," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 320-330.
    9. Wilert Puriwat & Suchart Tripopsakul, 2021. "Explaining Social Media Adoption for a Business Purpose: An Application of the UTAUT Model," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    10. Chen, Yan, 2018. "Blockchain tokens and the potential democratization of entrepreneurship and innovation," Business Horizons, Elsevier, vol. 61(4), pages 567-575.
    11. Elena Casprini & Alberto Di Minin, 2015. "How are companies facing the social media (r)evolution?," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2015(2), pages 67-86.
    12. Baccarella, Christian V. & Wagner, Timm F. & Kietzmann, Jan H. & McCarthy, Ian P., 2018. "Social media? It's serious! Understanding the dark side of social media," European Management Journal, Elsevier, vol. 36(4), pages 431-438.
    13. Fraccastoro, Sara & Gabrielsson, Mika & Pullins, Ellen Bolman, 2021. "The integrated use of social media, digital, and traditional communication tools in the B2B sales process of international SMEs," International Business Review, Elsevier, vol. 30(4).
    14. Ziad Abdelmoety & Spiros Gounaris, 2015. "Exporting B2B Solutions: The Impact and Contribution of Using Social Media," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 1(1), pages 23-40, January.
    15. Mohammad Tipu Sultan & Farzana Sharmin & Alina Badulescu & Darie Gavrilut & Ke Xue, 2021. "Social Media-Based Content towards Image Formation: A New Approach to the Selection of Sustainable Destinations," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    16. Cartwright, Severina & Davies, Iain & Archer-Brown, Chris, 2021. "Managing relationships on social media in business-to-business organisations," Journal of Business Research, Elsevier, vol. 125(C), pages 120-134.
    17. Luyi Qiu & Aro I & Timothy J. Lee & Jinok Susanna Kim, 2021. "How Sustainable Social Media Advertising Affect Visitors’ Decision to Attend a Festival Event?," Sustainability, MDPI, vol. 13(17), pages 1-16, August.
    18. Drago Ruzic & Antun Bilos & Filip Radulovic, 2018. "Preliminary Study Of Personal Marketing In The Digital Environment: Attributes And Perception Of Internet Users In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 27(1), pages 209-229, june.
    19. Berthon, Pierre R. & Pitt, Leyland F. & Plangger, Kirk & Shapiro, Daniel, 2012. "Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy," Business Horizons, Elsevier, vol. 55(3), pages 261-271.
    20. Fraccastoro, Sara & Gabrielsson, Mika & Chetty, Sylvie, 2021. "Social Media Firm Specific Advantages as Enablers of Network Embeddedness of International Entrepreneurial Ventures," Journal of World Business, Elsevier, vol. 56(3).

    More about this item

    Keywords

    Customer needs; Supervised machine learning; Twitter; Web services; E-mobility; Social information Systems; Marketing;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:elmark:v:30:y:2020:i:2:d:10.1007_s12525-019-00351-0. 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.