Skip to main content
Top
Published in:
Cover of the book

2022 | OriginalPaper | Chapter

1. Künstliche Intelligenz als der Katalysator für die Modernisierung des Marketings

Authors : Marko Sarstedt, Bernhard Wecke

Published in: Skalierung von KI im Marketing und die neue Rolle des CMO

Publisher: Springer Fachmedien Wiesbaden

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Zusammenfassung

Die Marketingwelt hat sich in den letzten Jahren grundlegend gewandelt. Dieser Wandel erfordert von vielen Unternehmen eine umfassende Erneuerung ihrer Marketingstrategie, -organisation, -kompetenzen und -abläufe. Der Einsatz von Verfahren der Künstlichen Intelligenz (KI) kann hierbei eine zentrale Rolle einnehmen, erfordert aber einen gesamtunternehmerischen Veränderungsprozess der vom CMO orchestriert werden muss. Dieses Kapitel beschreibt wesentliche Aspekte dieses Veränderungsprozesses und zeigt auf, wie KI den Prozess unterstützen kann. Neben einer kurzen Definition von KI wird deren Funktionsweise und Relevanz am Beispiel eines Chatbots beschrieben.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Alsheiabni, S., Messom, C., & Cheung, Y. (2019). Factors inhibiting the adoption of artificial factors inhibiting the adoption of artificial intelligence at organizational-level: A preliminary investigation. Proceedings of the 25th Americas Conference on Information Systems, Paper 2. Alsheiabni, S., Messom, C., & Cheung, Y. (2019). Factors inhibiting the adoption of artificial factors inhibiting the adoption of artificial intelligence at organizational-level: A preliminary investigation. Proceedings of the 25th Americas Conference on Information Systems, Paper 2.
go back to reference Barsky, N. (2021). Starbucks just set two digital transformation marks that cannot be ignored. Forbes, 16, 2021. Barsky, N. (2021). Starbucks just set two digital transformation marks that cannot be ignored. Forbes, 16, 2021.
go back to reference de Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51(August), 91–105.CrossRef de Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K.-U., & von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51(August), 91–105.CrossRef
go back to reference Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.CrossRef Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.CrossRef
go back to reference Dhanesh, G. S. (2020). Who cares about organizational purpose and corporate social responsibility, and how can organizations adapt? A hypermodern perspective. Business Horizons, 63(4), 585–594.CrossRef Dhanesh, G. S. (2020). Who cares about organizational purpose and corporate social responsibility, and how can organizations adapt? A hypermodern perspective. Business Horizons, 63(4), 585–594.CrossRef
go back to reference Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2020). Capturing marketing information to fuel growth. Journal of Marketing, 85(1), 163–183. Du, R. Y., Netzer, O., Schweidel, D. A., & Mitra, D. (2020). Capturing marketing information to fuel growth. Journal of Marketing, 85(1), 163–183.
go back to reference Hair, J. F., & Sarstedt, M. (2021). Data, measurement, and causal inferences in machine learning: Opportunities and challenges for marketing. Journal of Marketing Theory and Practice, 29(1), 65–77.CrossRef Hair, J. F., & Sarstedt, M. (2021). Data, measurement, and causal inferences in machine learning: Opportunities and challenges for marketing. Journal of Marketing Theory and Practice, 29(1), 65–77.CrossRef
go back to reference Homburg, C., Vomberg, A., Enke, M., & Grimm, P. H. (2015). The loss of the marketing department’s influence: Is it really happening? And why worry? Journal of the Academy of Marketing Science, 43(1), 1–13.CrossRef Homburg, C., Vomberg, A., Enke, M., & Grimm, P. H. (2015). The loss of the marketing department’s influence: Is it really happening? And why worry? Journal of the Academy of Marketing Science, 43(1), 1–13.CrossRef
go back to reference Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI. Strategy and leadership when algorithms and networks run the world. Harvard Business Review Press. Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI. Strategy and leadership when algorithms and networks run the world. Harvard Business Review Press.
go back to reference Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.CrossRef Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55.CrossRef
go back to reference Kalaignanam, K., Tuli, K. R., Kushwaha, T., Lee, L., & Gal, D. (2021). Marketing agility: The concept, antecedents, and a research agenda. Journal of Marketing, 85(1), 35–58.CrossRef Kalaignanam, K., Tuli, K. R., Kushwaha, T., Lee, L., & Gal, D. (2021). Marketing agility: The concept, antecedents, and a research agenda. Journal of Marketing, 85(1), 35–58.CrossRef
go back to reference Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.CrossRef Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.CrossRef
go back to reference Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50.CrossRef Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50.CrossRef
go back to reference Kumar, V. (2018). Transformative marketing: The next 20 years. Journal of Marketing, 82(4), 1–12.CrossRef Kumar, V. (2018). Transformative marketing: The next 20 years. Journal of Marketing, 82(4), 1–12.CrossRef
go back to reference Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155.CrossRef Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45(2), 135–155.CrossRef
go back to reference Müller-Stewens, B., Müller-Stewens, G., & Müller-Stewens, J. (2020). Der Chief Marketing Officer. In M. Bruhn, C. Burmann, & M. Kirchgeorg (Hrsg.), Marketing Weiterdenken (S. 555–574). Springer Gabler.CrossRef Müller-Stewens, B., Müller-Stewens, G., & Müller-Stewens, J. (2020). Der Chief Marketing Officer. In M. Bruhn, C. Burmann, & M. Kirchgeorg (Hrsg.), Marketing Weiterdenken (S. 555–574). Springer Gabler.CrossRef
go back to reference Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156–185.CrossRef Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156–185.CrossRef
go back to reference Rai, A. (2020). Explainable AI: From black box to glass box. Journal of the Academy of Marketing Science, 48(1), 137–141.CrossRef Rai, A. (2020). Explainable AI: From black box to glass box. Journal of the Academy of Marketing Science, 48(1), 137–141.CrossRef
go back to reference Raithel, A., Sarstedt, M., Scharf, S., & Schwaiger, M. (2012). On the value relevance of customer satisfaction. Multiple drivers and multiple markets. Journal of the Academy of Marketing Science, 40(4), 509–525.CrossRef Raithel, A., Sarstedt, M., Scharf, S., & Schwaiger, M. (2012). On the value relevance of customer satisfaction. Multiple drivers and multiple markets. Journal of the Academy of Marketing Science, 40(4), 509–525.CrossRef
go back to reference Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence. MIT Sloan Management Review, 59(1), 1–23. Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence. MIT Sloan Management Review, 59(1), 1–23.
go back to reference Sleep, S., & Hulland, J. (2019). Is big data driving cooperation in the c-suite? The evolving relationship between the chief marketing officer and chief information officer. Journal of Strategic Marketing, 27(8), 666–678.CrossRef Sleep, S., & Hulland, J. (2019). Is big data driving cooperation in the c-suite? The evolving relationship between the chief marketing officer and chief information officer. Journal of Strategic Marketing, 27(8), 666–678.CrossRef
go back to reference Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42.CrossRef Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15–42.CrossRef
go back to reference Verhoef, P. C., & Leeflang, P. S. H. (2009). Understanding the marketing department’s influence within the firm. Journal of Marketing, 73(2), 14–37.CrossRef Verhoef, P. C., & Leeflang, P. S. H. (2009). Understanding the marketing department’s influence within the firm. Journal of Marketing, 73(2), 14–37.CrossRef
go back to reference Wecke, B. (2022). Künstliche Intelligenz in Marketingorganisationen. Eine Mehrfallstudie zur Identifikation von Barrieren und Einflussfaktoren bei der Einführung und Nutzung Künstlicher Intelligenz. Dissertation, Magdeburg. Wecke, B. (2022). Künstliche Intelligenz in Marketingorganisationen. Eine Mehrfallstudie zur Identifikation von Barrieren und Einflussfaktoren bei der Einführung und Nutzung Künstlicher Intelligenz. Dissertation, Magdeburg.
Metadata
Title
Künstliche Intelligenz als der Katalysator für die Modernisierung des Marketings
Authors
Marko Sarstedt
Bernhard Wecke
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-658-37864-6_1