The influence of big data and artificial intelligence tools in marketing 4.0
DOI:
https://doi.org/10.33448/rsd-v10i5.15296Keywords:
Artificial intelligence; Big data; Marketing.Abstract
The suitability of artificial intelligence and big data in marketing 4.0 made the approach to marketing innovative, contributing to increased sales, competitive advantage, increased ROI, process optimization, advanced customization for customers and delivering innovative experiences for customers. The objective of the study was to present information about the fourth industrial revolution, the impact of big data on business, artificial intelligence and its subfields and, finally, marketing 4.0. In this qualitative review, the articles were selected from the Scielo and Google Scholar databases, and books were also selected for the development of the work. As a final result, emphasis was placed on how artificial intelligence and big data tools revolutionized marketing.
References
Artero, A. O. (2009). Inteligência artificial teórica e prática. 45. Livraria da Física.
Barbosa, J. S., Silva, D. B., Oliveira, D. C. & Jesus, D. C. (2021). A proteção de dados e segurança da informação na pandemia COVID-19: contexto nacional, 10(2), e 40510212557, Research, Society and Development.
Bismas, A., & Roy, M. (2015). Green products: Na exploratory study on the consumer behaviour in emerging economies of the East. Journal of Cleaner Production, 87, 463-468.
Bohle, S. (2018). “Plutchnik”: artificial intelligence chatbot for searching NCBIdatabases. Journal of the Medical LibraryAssociation: JMLA, 106(4).
Bulian, B. S. & Alencar, C. A. (2021). A importância da big data para a compreensão dos hábitos de compra dos consumidores, aumentando as vantagens competitivas no comércio varejista. https://www.nucleodoconhecimento.com.br/administracao/big-data-comercio-varejista.
Castells, M. (2005). A sociedade em rede: a era da informação – economia, sociedade e cultura. 1(8), Paz e Terra.
Costa. M. N. A. & Pagani, M. (2019). Quarta Revolução Industrial e o Futuro do Trabalho. https://juslaboris.tst.jus.br/bitstream/handle /20.500.12178/167897/2019_costa_marcelo_4a_revolucao.pdf?sequence=1&isAllowed=y.
Donnelly, C., Simmons, G., Armstrong, G., & Fearne, A. (2015). Digital loyalty card ‘big data’ and small business marketing: Formal versus informal or complementary? Intenational Small Business Journal, 33(4), 422-442.
Dunn, L. (2015). Globalization and consumer:What marketer needs to know. The Neumann Business Review, 16-30.
Gandomi, A. & Haider, M. (2015. Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management. 35(2), 137-144.
Gil, A. C. (2008). Métodos e Técnicas de Pesquisa Social. (6a ed.), Atlas.
Hoffman, D. L., Praveen, K. K., & Thomas, P. N. (2010). The Right Consumers for Better Concepts: Identifying and Using Consumers High in Emergent Nature to Further Develop New Product Concepts, Journal of Marketing Research.
Jarek, K., & Mazurek, G. (2019). Marketing and Artificial Intelligence. Central European Business Review, 8(2), 46–55. https://doi.org/10.18267/j.cebr.213
Kaplan, R. & Norton, D.P. (2004). Mapas estratégicos – Balance Scorecard: convertendo ativos intangíveis em resultados tangíveis. Elsevier.
Kotler, P. (2016). Marketing 4.0 – Moving from traditional to digital. Hoboken (Livro eletrônico). John Wiley, Inc.
Kotler, P., Kartajaya, H. & Setiawan, I. (2017). Marketing 4.0: moving from traditional to digital. Ed Wiley.
Kotler, P., & Keller, K. L. (2013). A framework for marketing managementPrentice Hall.
Kurkovsky, S., & Harihar, K. (2006). Using ubiquitous computing in interactive mobile marketing. Personal and Ubiquitous Computing, 10(4),227-240.
Madeira, A. C. M., Neves, B. C. & Branco, D. J. B. C. (2020). O Uso da Inteligência Artificial Aplicada ao Marketing Digital: Exploração das Vulnerabilidades do Usuário-Consumidor. Journal of Digital Media and Interaction. 3(8). 95-111.
Mapelli, A.; Giongo, M. & Carnevale, R. (2018). Os impactos das novas tecnologias do direito e na sociedade. 233. Editora: Deviant Ltda. Erechim.
Mayer-Schonberger, V. & Cukier, K. (2014). Big data: a revolution that will transform how we live, work, and think. first mariner books.
McAfee, A, Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data. The management revolution. Harvard Bus Ver, 90(10), 61-67.
Mendes, L. S. & Mattiuzzo, M. (2019). Discriminação algorítmica: conceito, fundamento legal e tipologia. 16(90), 39-64. Revista Direito Público. Porto Alegre.
Maduro, S. (2018). Inteligência Artificial Aplicada a Negócios. Revista Inteligência Competitiva. 8(3).
Russell, S. & Norvig, P. (2013). Inteligência Artificial. Tradução de Regina de Regina Célia Simile. (3a ed.),, Elsevier.
Sashi, C. M. (2012). Customer engagement, buyer-seller relationship, and social media. Management Decision, 50(2), 253-272.
Schwab, K. (2016). A Quarta Revolução Industrial. Editora Edipro. Edições Profissionais Ltda.
Schwab, K. (2019). Aplicando a Quarta Revolução Industrial. Prefácios de Satya Nadella, João Doria; Tradução: Daniel Moreira Miranda. Edipro, Título original: Shaping the fourt Industrial Revolution.
Shiraishi, G. de F.; Yoda, F. S. & Lourenço, V. C. (2020). Para o high-tech ser high touch – um estudo exploratório com chatbots, 22(1), Rio de Janeiro.
Transformação Digital. Página Inicial. (2018). .
Turben, E., King, D., Lee, J. K., Liang, T. P, & Turban, D. C. (2015). Overview of Eletronic Commerce. In Eletronic Commerce 3-49. Springer International Publishing.
Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1-17.
Vassileva, B. (2017). Marketing 4.0: How Technologies transform marketing organization. Obuda University e-Bulletin, 7(1), 47.
Vortigo. (2017). 5 aplicações de inteligência artificial nas empresas. http://blog.vortigo.com.br/5-aplicacoes-de-inteligencia-artificial-nas-empresas/.
Wolfgang, H. (2019). Inteligência Artificial Como Oportunidade para a Regulação Jurídica. 16(90). Revista Direito Público.
Wortmann, F., & Fluchter, K. (2015). Internet of thing. Business & Information Systems Engineering, 57(3),221-224.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Danihanne Borges e Silva; Daniela Cabral de Oliveira; Dilça Cabral de Jesus
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.