Abstract
Based on the theory that both manual and cognitive tasks can be replaced by Artificial Intelligence, this study explores, using a qualitative research method, the impact of Artificial Intelligence (AI) in Digital Marketing. An analysis of interviews with 15 experts from different industries related to Marketing and AI shows that AI have impact in Marketing processes and the impact will be bigger in the future. The study reinforces that many of the manual and repetitive tasks of a marketer’s life can already be replaced by AI, and the use of machines working together with humans are the key to better marketing results. The challenges and ethical aspects that lead to a slow or non-adoption of AI have been addressed, and one of the major obstacles is that humans aren’t yet confident in technology and, they are not yet ready for this cultural change. Based on these findings, business decision-makers and managers need to prepare their companies and employees for the implementation of AI in Marketing.
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References
PRNewswire, Despite the Buzz, Consumers Lack Awareness of the Broad Capabilities of AI (2018). https://www.prnewswire.com/news-releases/despite-the-buzz-consumers-lackawareness-of-the-broad-capabilities-of-ai-300458237.html. Accessed 12 Apr 2019
Makridakis, S.: The forthcoming Artificial Intelligence (AI) revolution: its impact on society and firms. Futures 90, 46–60 (2017). https://doi.org/10.1016/j.futures.2017.03.006
Kietzmann, J., Paschen, J., Treen, E.: Artificial intelligence in advertising: how marketers can leverage artificial intelligence along the consumer journey. J. Advertising Res. 58(3), 263–267 (2018). https://doi.org/10.2501/JAR-2018-035
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Pearson Education Limited, London (2016). https://doi.org/10.1016/j.artint.2011.01.005
Siau, K.L., Yang, Y.: Impact of artificial intelligence, robotics, and machine learning on sales and marketing. In: Twelve Annual Midwest Association for Information Systems Conference, pp. 18–19 (2017)
Eden, A., Steinhart, E., Pearce, D., Moor, J.: Singularity Hypotheses: An Overview. Springer, Heidelberg (2012). http://dx.doi.org/10.1007/978-3-642-32560-1_1
Rosenberg, D.: How marketers can start integrating AI in their work. Harvard Bus. Rev. (2018)
Chui, M., Manyika, J., Miremadi, M., Henke, N., Chung, R., Nel, P., Malhotra, S.: Notes from the AI Frontier: Insights from Hundred Uses of Cases. McKinsey & Company (2018)
Ramaswamy, S.: How companies are already using AI. Harvard Bus. Rev. 14, 2017 (2017)
Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., Spira, M.: Artificial intelligence in business gets real. MIT Sloan Manag. Rev. 60280 (2018)
Domingos, P.: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Penguin Books LDA, London (2015)
Beaudin, L., Downey, S., Hartsoe, A., Renaud, C., Voorhees, J.: Breaking the marketing mold with machine learning. MIT Technol. Rev. Insights (2018)
Gallo, A.: The value of keeping the right customers. Harvard Bus. Rev. 29 (2014)
Severino, A.J.: Metodologia do trabalho científico. Cortez Editora (2007)
Rumelt, R.: Good Strategy, Bad Strategy. Profile Books, London (2011)
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Ribeiro, T., Reis, J.L. (2020). Artificial Intelligence Applied to Digital Marketing. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_15
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DOI: https://doi.org/10.1007/978-3-030-45691-7_15
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