Yenni Paola Rivero Salinas, Francy Johanna Mestizo Sosa, Jhony Alexander Barrera Liévano, Jesús Enrique Beltrán Virgüez. "Artificial Intelligence and Marketing in Companies: A Systematic Review" International Research Journal of Economics and Management Studies, Vol. 4, No. 3, pp. 55-67, 2025.
Various sources indicate that companies today face numerous challenges regarding using and integrating technology and Artificial Intelligence (AI) into their business processes. Given the current potential of AI to support various business processes and considering that marketing is a fundamental pillar for the sustainability and longevity of organizations, this research aims to determine the contribution of artificial intelligence to the development of marketing in companies. To achieve this, a systematic literature review and a bibliometric analysis were conducted based on research documents indexed in SCOPUS. The findings reveal that AI contributes to companies' marketing processes by optimizing operations, developing strategy, enhancing brand image, expanding market reach, and optimizing financial resources. Its role in fostering innovation and supporting decision-making processes within organizations has also been identified.
[1] Alqahtani K.M. (2023). Evaluation of Enterprise Management Value Chain: Value Co-Creation in the Era of Artificial Intelligence. Journal of Logistics, Informatics and Service Science, 4(10), 267-280
[2] Akbari M.; Foroudi P.; Zaman Fashami R.; Mahavarpour N.; Khodayari M. (2022). Let us talk about something: The evolution of e-WOM from the past to the future. Journal of Business Research, 0(149), 663-689
[3] Akter S.; Sultana S.; Mariani M.; Wamba S.F.; Spanaki K.; Dwivedi Y.K. (2023). Advancing algorithmic bias management capabilities in AI-driven marketing analytics research. Industrial Marketing Management, 0(114), 243-261
[4] Alonso, I., & Carrió, A. (2019). Aplicaciones de la inteligencia artificial a los mercados financieros. Papeles de economía española, (162), 148-175.
[5] Alnoor, A., Wah, K. K., & Hassan, A. (2022). Artificial Neural Networks and Structural Equation Modeling. Springer, Singapore.
[6] Alt R.; Ehmke J.F.; Haux R.; Henke T.; Mattfeld D.C.; Oberweis A.; Paech B.; Winter A. (2019). Towards customer-induced service orchestration - requirements for the next step of customer orientation. Electronic Markets, 1(29), 79-91
[7] Amerirad B.; Cattaneo M.; Kenett R.S.; Luciano E. (2023). Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies. Risks, 1(11), 0-0
[8] Amjad T.; Abdul Rani S.H.B.; Sa'atar S.B. (2020). Entrepreneurship development and pedagogical gaps in entrepreneurial marketing education. International Journal of Management Education, 2(18), 0-0
[9] Arumugam, T., Arun, R., Natarajan, S., Thoti, K. K., Shanthi, P., & Kommuri, U. K. (2024). Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it. In Data-Driven Intelligent Business Sustainability (pp. 60-74). IGI Global.
[10] Barón López, E. Y. (2017). Fundamentos de mercadeo. Fundación Universitaria del Área Andina.
[11] Baycur G.; Delen E.; Kayişkan D. (2022). Digital conflicts in marketing and sales. Conflict Management in Digital Business. New Strategy and Approach, 0(0), 43-61
[12] Bekiş T.; Asiltürk A. (2023). Artificial intelligence technologies' utilization in human resources management affects employee behavior. Organizational Behavior in the Digital World, 0(0), 251-270
[13] Bezuidenhout C.; Heffernan T.; Abbas R.; Mehmet M. (2023). The impact of Artificial Intelligence on the marketing practices of Professional Services Firms. Journal of Marketing Theory and Practice, 4(31), 516-537
[14] Bhardwaj A. (2022). Artificial intelligence and e-business. The Future of E-Commerce, 0(0), 45-64
[15] Bramley, I., Goode, A., Anderson, L., & Mary, E. (2018). Researching in-store, at home: Using virtual reality within quantitative surveys. International Journal of Market Research, 60(4), 344-351
[16] Boden, M. A. (2017). Inteligência artificial. Turner.
[17] Ceballos-Parra, P.J.; W. A. Sarache y D.M. Gómez (2018). Un Análisis Bibliométrico de las Tendencias en Logística Humanitaria. Información Tecnológica, 29(1), 91-104
[18] Campbell C.; Sands S.; Ferraro C.; Tsao H.-Y.J.; Mavrommatis A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 2(63), 227-243
[19] Carlisle S.; Ivanov S.; Dijkmans C. (2023). The digital skills divide: evidence from the European tourism industry. Journal of Tourism Futures, 2(9), 240-266
[20] Chen Y. (2023). Comparing content marketing strategies of digital brands using machine learning. Humanities and Social Sciences Communications, 1(10), 0-0
[21] Chintalapati S.; Pandey S.K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 1(64), 38-68
[22] David Cáceres, J. (2023). La Inteligencia Artificial y sus implicaciones en el marketing. Palermo Business Review, (27).
[23] De Bernardi P.; Azucar D.; Forliano C.; Franco M. (2020). Innovative and sustainable food business models. Contributions to Management Science, 0(0), 189-221
[24] Dekkers, O. M., Vandenbroucke, J. P., Cevallos, M., Renehan, A. G., Altman, D. G., & Egger, M. (2019). COSMOS-E: guidance on conducting systematic reviews and meta-analyses of observational studies of etiology. PLoS medicine, 16(2), e1002742.
[25] Dwivedi R.; Nerur S.; Balijepally V. (2023). Exploring artificial intelligence and big data scholarship in information systems: A citation, bibliographic coupling, and co-word analysis. International Journal of Information Management Data Insights, 2(3), 0-0
[26] Dwivedi Y.K.; Ismagilova E.; Hughes D.L.; Carlson J.; Filieri R.; Jacobson J.; Jain V.; Karjaluoto H.; Kefi H.; Krishen A.S.; Kumar V.; Rahman M.M.; Raman R.; Rauschnabel P.A.; Rowley J.; Salo J.; Tran G.A.; Wang Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 0(59), 0-0
[27] De Oliveira, P. V. S., de Freitas Santos, L., & Ferreira, M. P. (2024). Inteligência artificial na automação de processos industriais e seus impactos. Revista de Economía Mackenzie, 21(1), 162-182.
[28] Eckert C.; Neunsinger C.; Osterrieder K. (2022). Managing customer satisfaction: digital applications for insurance companies. Geneva Papers on Risk and Insurance: Issues and Practice, 3(47), 569-602
[29] Esch P.V.; Cui Y.; Jain S.P. (2021). Stimulating or Intimidating: The Effect of AI-Enabled In-Store Communication on Consumer Patronage Likelihood. Journal of Advertising, 1(50), 63-80
[30] Farooqui, M. (2023). The benefits of marketing analytics and challenges. In Handbook of big data research methods (pp. 52-71). Edward Elgar Publishing.
[31] Forero S, C, (2006). Fundamentos de mercadeo/ Ecoe Ediciones
[32] Filieri R.; D’Amico E.; Destefanis A.; Paolucci E.; Raguseo E. (2021). Artificial intelligence (AI) for tourism: a European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 11(33), 4099-4125
[33] Gao L.; Li G.; Tsai F.; Gao C.; Zhu M.; Qu X. (2023). The impact of artificial intelligence stimuli on customer engagement and value co-creation: the moderating role of customer ability readiness. Journal of Research in Interactive Marketing, 2(17), 317-333
[34] Garg P.; Gupta N.; Agarwal M. (2023). Role of Artificial Intelligence in Supply Chain Management. Data Analytics and Business Intelligence. Computational Frameworks, Practices, and Applications, 0(0), 47-61
[35] Gast, I.; K. Schildkamp y J.T. van der Veen, Team-Based Professional Development Interventions in Higher Education: A Systematic Review, doi: /10.3102/0034654317704306, Review of Educational Research, 87(4), 736–767 (2017).
[36] Granados Ferreira, J. (2022). Análisis de la inteligencia artificial en las relaciones laborales. Revista CES Derecho, 13(1), 111-132.
[37] Groß M. (2021). Yes, AI Can: The Artificial Intelligence Gold Rush Between Optimistic HR Software Providers, Skeptical HR Managers, and Corporate Ethical Virtues. Management for Professionals, 0(Part F454), 191-225
[38] Gupta S.; Justy T.; Kamboj S.; Kumar A.; Kristoffersen E. (2021). Big data and firm marketing performance: Findings from knowledge-based view. Technological Forecasting and Social Change, 0(171), 0-0
[39] Han R.; Lam H.K.S.; Zhan Y.; Wang Y.; Dwivedi Y.K.; Tan K.H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management and Data Systems, 12(121), 2467-2497
[40] Hermann E. (2022). Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective. Journal of Business Ethics, 1(179), 43-61
[41] Jamaluddin Z.; Rahmat A.K. (2022). Artificial Intelligence Technology in Travel, Tourism and Hospitality: Current and Future Developments. Technology Application in Aviation, Tourism and Hospitality. Recent Developments and Emerging Issues, 0(0), 169-177
[42] Jayasundara C.C. (2022). Prediction of Marketing by the Consumer Analytics. Big Data Analytics. Digital Marketing and Decision-Making, 0(0), 77-118
[43] Khanam, F., Ullah, M., & Al-Zadid, M. O. (2023). Factors Shaping the Patterns of Online Shopping Behavior. In Encyclopedia of Data Science and Machine Learning (pp. 1127-1142). IGI Global.
[44] Kaperonis S. (2023). How Artificial Intelligence (AI) transforms the user experience in digital marketing. The Use of Artificial Intelligence in Digital Marketing. Competitive Strategies and Tactics, 0(0), 117-141
[45] Kashyap R.; Dwesar R. (2021). Artificial Intelligence in Marketing. Artificial Intelligence and Machine Learning in Business Management: Concepts, Challenges, and Case Studies, 0(0), 1-14
[46] Keegan B.J.; Canhoto A.I.; Yen D.A.-W. (2022). Power negotiation on the tango dancefloor: The adoption of AI in B2B marketing. Industrial Marketing Management, 0(100), 36-48
[47] Kemer E.; Tyagi P.K. (2023). Application of artificial intelligence and robotics in tourism and hospitality marketing. Embracing Business Sustainability Through Innovation and Creativity in the Service Sector, 0(0), 125-140
[48] Kumar D.M.; Kumar M.; Govindarajo N.S.; Nanda I. (2022). Business Intelligence and Branding. Business Intelligence and Human Resource Management: Concept, Cases, and Practical Applications, 0(0), 95-121
[49] Kushwaha A.K.; Kar A.K.; Dwivedi Y.K. (2021). Big data applications in emerging management disciplines: A literature review using text mining. International Journal of Information Management Data Insights, 2(1), 0-0
[50] Kyung N.; Kwon H.E. (2022). Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations. Production and Operations Management, 0(0), 0-0
[51] Leszkiewicz A.; Hormann T.; Krafft M. (2022). SMART BUSINESS AND THE SOCIAL VALUE OF AI. Advanced Series in Management, 0(28), 19-34
[52] Lee Y.-I.; Trim P.R.J. (2022). Enhancing Marketing Provision through Increased Online Safety That Imbues Consumer Confidence: Coupling AI and ML with the AIDA Model. Big Data and Cognitive Computing, 3(6), 0-0
[53] Li S., Peng G., Xing F., Zhang J.; Zhang B. (2021). Value co-creation in industrial AI: The interactive role of B2B supplier, customer and technology provider. Industrial Marketing Management, 0(98), 105-114
[54] Ljepava N. (2022). AI-Enabled Marketing Solutions in Marketing Decision Making: AI Application in Different Stages of Marketing Process. TEM Journal, 3(11), 1308-1315
[55] Lulandala E.E. (2022). Social media advertising Concept, contemporary trends, and implications. Digital Marketing Outreach: the Future of Marketing Practices, 0(0), 171-186
[56] Mikalef P.; Islam N.; Parida V.; Singh H.; Altwaijry N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research, 0(164), 0-0
[57] Micu A.; Capatina A.; Cristea D.S.; Munteanu D.; Micu A.-E.; Sarpe D.A. (2022). An on-site customer profiling and hyper-personalization system prototype based on a deep learning approach is assessed. Technological Forecasting and Social Change, 0(174), 0-0
[58] Molenaar, C. (2022). Demand-driven business strategy: Digital transformation and business model innovation. Routledge.
[59] Moon S.; Iacobucci D. (2022). Social Media Analytics and its Applications in Marketing. Foundations and Trends in Marketing, 4(15), 213-292
[60] Moro Visconti, R. (2020). The valuation of digital intangibles. Technology, marketing and the Internet.
[61] Moradi M.; Dass M. (2022). Applications of artificial intelligence in B2B marketing: Challenges and future directions. Industrial Marketing Management, 0(107), 300-314
[62] Mukherjee A.; Rajendran S.D.; Wahab S.N. (2022). Technology Strategy in Boosting Halal Tourism Activities. Technology Application in Aviation, Tourism and Hospitality. Recent Developments and Emerging Issues, 0(0), 41-56
[63] Munna, A. S., Shaikh, M. S. I., & Kazi, B. U. (2023). Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence. IGI Global.
[64] Murphy L.; Perales F.; Gopal A.; Gyurdieva Y.; Gueorguiev V.; Shandilya P. (2022). Time for marketing to embrace reinforcement learning. Journal of Digital and Social Media Marketing, 2(10), 135-142
[65] Nesterenko V.; Miskiewicz R.; Abazov R. (2023). MARKETING COMMUNICATIONS IN THE ERA OF DIGITAL TRANSFORMATION. Virtual Economics, 1(6), 57-70
[66] Nigam B.; Mehra N.; Niranjanamurthy M. (2022). Self-diagnosis in healthcare systems using AI chatbots. IoT and AI Technologies for Sustainable Living: A Practical Handbook, 0(0), 79-91
[67] Nosova S.S.; Bondarev S.A.; Fadeicheva G.V. (2023). THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE AS A FACTOR OF ECONOMIC GROWTH IN THE CONTEXT OF DIGITALIZATION. Advances in Research on Russian Business and Management, 0(2023), 73-82
[68] Nuseir M.T.; Refae G.E. (2022). The role of artificial intelligence, marketing strategies, and organizational capabilities in organizational performance: The moderating role of organizational behavior. Uncertain Supply Chain Management, 4(10), 1457-1466
[69] Öberg C. (2023). Neuroscience in business-to-business marketing research: A literature review, co-citation analysis and research agenda. Industrial Marketing Management, 0(113), 168-179
[70] Padigar M.; Pupovac L.; Sinha A.; Srivastava R. (2022). The effect of marketing department power on investor responses to AI-embedded new product innovations announcements. Journal of the Academy of Marketing Science, 6(50), 1277-1298
[71] Park S.; Choi W.J.; Shin D. (2021). Who Makes You More Disappointed? The Effect of Avatar Presentation, Company Market Status, and Agent Identity on Customers’ Perceived Service Quality and Satisfaction of Online Chatting Services. Asia Marketing Journal, 3(23), 36-47
[72] Pereira, J. (2015). Liderazgo y Mercadeo. com. Recuperado el, 22.
[73] Pérez León, E. V., & Rojas Arevalo, D. I. (2019). Impacto de la inteligencia artificial en las empresas con un enfoque global. Universidad Peruana de Ciencias Aplicadas (UPC), Lima, Perú.
[74] Petrescu M.; Krishen A.S.; Kachen S.; Gironda J.T. (2022). AI-based innovation in B2B marketing: An interdisciplinary framework incorporating academic and practitioner perspectives. Industrial Marketing Management, 0(103), 61-72
[75] Pinto, J. E. M. (2013). Principios de marketing. Ediciones de la U.
[76] PRISMA (2020). PRISMA translations policy. Disponible en: http:// www.prisma-statement.org/Translations/TranslationsPolicy.aspx. Consultado 7/12/2023.
[77] Puntoni S.; Reczek R.W.; Giesler M.; Botti S. (2021). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 1(85), 131-151
[78] Ramšak M. (2022). Wearable Technology and Wine. Contributions to Management Science, 0(0), 23-25
[79] Richet J.-L. (2022). How cybercriminal communities grow and change: An investigation of ad-fraud communities. Technological Forecasting and Social Change, 0(174), 0-0
[80] Rosa A.; Bento T.; Pereira L.; da Costa R.L.; Dias Á.; Gonçalves R. (2022). Gaining competitive advantage through artificial intelligence adoption. International Journal of Electronic Business, 4(17), 386-406
[81] Rouhiainen, L. (2018). Inteligencia artificial. Alienta Editorial
[82] Saddy, A. (2024). Curso de Direito Administrativo Brasileiro-Volume 3. CEEJ.
[83] Savytska N.; Babenko V.; Chmil H.; Priadko O.; Bubenets I. (2023). Digitalization of Business Development Marketing Tools in the B2C Market. Journal of Information Technology Management, 1(15), 124-134
[84] Sharma R.; Kumar A.; Chuah C. (2021). Turning the black box into a glass box: An explainable machine learning approach for understanding hospitality customer. International Journal of Information Management Data Insights, 2(1), 0-0
[85] Sestino A.; De Mauro A. (2022). Leveraging Artificial Intelligence in Business: Implications, Applications and Methods. Technology Analysis and Strategic Management, 1(34), 16-29
[86] Schiessl D.; Dias H.B.A.; Korelo J.C. (2022). Artificial intelligence in marketing: a network analysis and future agenda. Journal of Marketing Analytics, 3(10), 207-218
[87] Steinhoff L.; Arli D.; Weaven S.; Kozlenkova I.V. (2019). Online relationship marketing. Journal of the Academy of Marketing Science, 3(47), 369-393
[88] Silva E.S.; Bonetti F. (2021). Digital humans in fashion: Will consumers interact? Journal of Retailing and Consumer Services, 0(60), 0-0
[89] Sutrisno; Fachrunnisa O.; Widodo (2022). THE EFFECTIVENESS OF DIRECTING OPTIONAL ACTIVITIES AS CAPITAL FOR SMALL AND MEDIUM ENTERPRISES BASED ON DIGITALIZATION IN THE CRISIS. International Journal of Professional Business Review, 2(7), 0-0
[90] Tohidi A.; Mousavi S.; Dourandish A.; Alizadeh P. (2023). Organic food market segmentation is based on the neo-behavioristic theory of consumer behavior. British Food Journal, 3(125), 810-831
[91] Todorova-Ekmekci M.; Bogdanova G.; Todorov T. (2022). Analysis and Evaluation of New Digital Media Usage, Impact and Presence. TEM Journal, 2(11), 651-657
[92] Uysal E.; Alavi S.; Bezençon V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 6(50), 1153-1175
[93] Volkmar G.; Fischer P.M.; Reinecke S. (2022). Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management. Journal of Business Research, 0(149), 599-614
[94] Wang X.; Lin X.; Shao B. (2022). How does artificial intelligence create business agility/Evidence from chatbots? International Journal of Information Management, 0(66), 0-0
[95] Wang Z.; Yuan R.; Luo J.; Liu M.J.; Yannopoulou N. (2023). Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers. Journal of Business Research, 0(165), 0-0
[96] Wirtz J.; Kowalkowski C. (2023). Putting the “service” into B2B marketing: key developments in service research and their relevance for B2B. Journal of Business and Industrial Marketing, 2(38), 272-289
[97] Xiang, Z., Fuchs, M., Gretzel, U., & Höpken, W. (Eds.). (2022). Handbook of e-Tourism. Switzerland: Springer.
[98] Yang C.; Hu J. (2022). When do consumers prefer AI-enabled customer service? What is the interaction effect of brand personality and service provision type on brand attitudes and purchase intentions? Journal of Brand Management, 2(29), 167-189
[99] Yepes-Nuñez, J. J., Urrutia, G., Romero-Garcia, M., & Alonso-Fernandez, S. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista espanola de cardiologia, 74(9), 790-799.
[100] Zumstein D.; Brauer C.; Zelic A. (2022). Benefits, challenges and future developments in digital analytics in German-speaking countries: An empirical analysis. Applied Marketing Analytics, 3(7), 246-259
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