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The future of marketing

Citations

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Cited by:

  1. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
  2. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system," Journal of Business Research, Elsevier, vol. 150(C), pages 437-450.
  3. Denisa-Roxana BOTEA-MUNTEAN & Daniela MARINICĂ & Adrian Ionuț MOȘESCU & Brîndușa BÎRSAN & Daniela Maria STANCIU (FRĂȚILĂ) & Paul COSMOVICI & Ștefan-Claudiu CĂESCU, 2024. "Trend Analysis: How Consumer Demand is Changing Marketing Practices," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 47-59, March.
  4. Nicoleta ISAC & Medina JAKUPAJ & Ava VATANDOOST, 2024. "Neuroscience Integration In Marketing: Leveraging Biosensors For Consumer Insights And Enhanced Customer Interactions," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 23(2), pages 21-30.
  5. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2021. "Why doesn't our value creation payoff: Unpacking customer analytics-driven value creation capability to sustain competitive advantage," Journal of Business Research, Elsevier, vol. 131(C), pages 287-296.
  6. Hu, Peng & Gong, Yeming & Lu, Yaobin & Ding, Amy Wenxuan, 2023. "Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 109-127.
  7. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
  8. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
  9. Trojanowski Mariusz & Barmentloo Edyta, 2025. "Convergence of marketing technologies and artificial intelligence: a bibliometric review (1987-2025)," Engineering Management in Production and Services, Sciendo, vol. 17(4), pages 29-51.
  10. Giannis Theofanous & Alkis Thrassou & Naziyet Uzunboylu, 2024. "Digital Inclusivity: Advancing Accessible Tourism via Sustainable E-Commerce and Marketing Strategies," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
  11. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
  12. Stephen L. Vargo & Linda Peters & Hans Kjellberg & Kaisa Koskela-Huotari & Suvi Nenonen & Francesco Polese & Debora Sarno & Claudia Vaughan, 2023. "Emergence in marketing: an institutional and ecosystem framework," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 2-22, January.
  13. Iyer, Pooja & Bright, Laura F., 2024. "Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners," Journal of Business Research, Elsevier, vol. 180(C).
  14. Lena Bjørlo & Øystein Moen & Mark Pasquine, 2021. "The Role of Consumer Autonomy in Developing Sustainable AI: A Conceptual Framework," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
  15. Achrol, Ravi S. & Kotler, Philip, 2022. "Distributed marketing networks: The fourth industrial revolution," Journal of Business Research, Elsevier, vol. 150(C), pages 515-527.
  16. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
  17. Herhausen, Dennis & Bernritter, Stefan F. & Ngai, Eric W.T. & Kumar, Ajay & Delen, Dursun, 2024. "Machine learning in marketing: Recent progress and future research directions," Journal of Business Research, Elsevier, vol. 170(C).
  18. Anna-Sophia Christ & K. Valerie Carl & Christian Kurtz & Lara Lobschat & Benjamin Mueller & Markus P. Zimmer, 2025. "Taking Digital Responsibility for Data: Toward a Governance Model for User-Generated Data," Schmalenbach Journal of Business Research, Springer, vol. 77(3), pages 527-556, September.
  19. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
  20. Paluch, Stefanie & Wirtz, Jochen, 2020. "Artificial Intelligence and Robots in the Service Encounter," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(1), pages 3-8.
  21. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
  22. Herman Donner & Michael Steep, 2021. "Monetizing the IoT Revolution," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
  23. Rokonuzzaman, Md & Kim, Kyoungmi (Kate) & Dugar, Kranti Kumar & Fox, Jennine, 2022. "What makes an object smart? Conceptualization, development, and validation of a scale to measure the Smartness of a Thing (SoT)," Journal of Business Research, Elsevier, vol. 141(C), pages 337-354.
  24. Enrique Marinao-Artigas & Karla Barajas-Portas, 2021. "A Cross-Destination Analysis of Country Image: A Key Factor of Tourism Marketing," Sustainability, MDPI, vol. 13(17), pages 1-20, August.
  25. Gallin, Steffie & Portes, Audrey, 2024. "Online shopping: How can algorithm performance expectancy enhance impulse buying?," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  26. Aimé, Isabelle & Berger-Remy, Fabienne & Laporte, Marie-Eve, 2022. "The brand, the persona and the algorithm: How datafication is reconfiguring marketing work☆," Journal of Business Research, Elsevier, vol. 145(C), pages 814-827.
  27. Young Woong Park & Glenn B. Voss & Zannie Giraud Voss, 2023. "Advancing customer diversity, equity, and inclusion: Measurement, stakeholder influence, and the role of marketing," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 174-197, January.
  28. Nancy M. P. Bocken & Laura Niessen & Maike Gossen & Ankita Das & Maria Zielińska, 2025. "Marketing in the anthropocene: A future agenda for research and practice," AMS Review, Springer;Academy of Marketing Science, vol. 15(1), pages 23-47, June.
  29. Erik Hermann & Gizem Yalcin Williams & Stefano Puntoni, 2024. "Deploying artificial intelligence in services to AID vulnerable consumers," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1431-1451, October.
  30. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
  31. Donthu, Naveen & Reinartz, Werner & Kumar, Satish & Pattnaik, Debidutta, 2021. "A retrospective review of the first 35 years of the International Journal of Research in Marketing," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 232-269.
  32. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  33. Christopher P. Blocker & Kenneth C. Manning & Carlos A. Trujillo, 2023. "Beyond radical affordability in the base of the pyramid: The role of consumer self‐confidence in product acceptance," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 619-647, January.
  34. Ana-Maria Urdea & Cristinel Petrișor Constantin, 2021. "Experts’ Perspective on the Development of Experiential Marketing Strategy: Implementation Steps, Benefits, and Challenges," JRFM, MDPI, vol. 14(10), pages 1-15, October.
  35. Pedersen, Carsten Lund, 2023. "The paradoxical marketer: Interpretations, illustrations, and implications," Business Horizons, Elsevier, vol. 66(6), pages 765-776.
  36. Rahman, Syed Mahmudur & Carlson, Jamie & Gudergan, Siegfried P. & Wetzels, Martin & Grewal, Dhruv, 2025. "How do omnichannel customer experiences affect customer engagement? Theory and empirical validation," Journal of Business Research, Elsevier, vol. 189(C).
  37. Yao, Alex, 2023. "Uncovering heterogeneous prestige effect in luxury consumption: Insights from the Chinese luxury market," Journal of Business Research, Elsevier, vol. 168(C).
  38. Nordin, Fredrik & Ravald, Annika, 2023. "The making of marketing decisions in modern marketing environments," Journal of Business Research, Elsevier, vol. 162(C).
  39. Martin Haupt & Jan Freidank & Alexander Haas, 2025. "Consumer responses to human-AI collaboration at organizational frontlines: strategies to escape algorithm aversion in content creation," Review of Managerial Science, Springer, vol. 19(2), pages 377-413, February.
  40. Scholdra, Thomas P. & Wichmann, Julian R.K. & Reinartz, Werner J., 2023. "Reimagining personalization in the physical store," Journal of Retailing, Elsevier, vol. 99(4), pages 563-579.
  41. Hoekstra, Janny C. & Leeflang, Peter S.H., 2023. "Thriving through turbulence," European Management Journal, Elsevier, vol. 41(5), pages 730-743.
  42. Meng Qi & Zulhamri Abdullah & Baiyu Zhou & Saiful Nujaimi Abdul Rahman, 2025. "Bibliometric analysis of Integrated Marketing Communications (2015–2024): knowledge structures, emerging themes, and future perspectives," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
  43. Minjun Kim, 2023. "Connecting artificial intelligence to value creation in services: mechanism and implications," Service Business, Springer;Pan-Pacific Business Association, vol. 17(4), pages 851-878, December.
  44. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
  45. Marta Nai Ruscone & Daniel Fernández & Antonio D’Ambrosio, 2024. "Copula-Based Non-Metric Unfolding on Augmented Data Matrix," Journal of Classification, Springer;The Classification Society, vol. 41(3), pages 678-697, November.
  46. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
  47. Hera Octavian Dumitru, 2024. "Algorithmic Creativity: Evolution And Marketing Perspectives," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(26), pages 1-12.
  48. Zihayat, Morteza & Ayanso, Anteneh & Davoudi, Heidar & Kargar, Mehdi & Mengesha, Nigussie, 2021. "Leveraging non-respondent data in customer satisfaction modeling," Journal of Business Research, Elsevier, vol. 135(C), pages 112-126.
  49. Bamberger, Boas & Reinartz, Werner & Ulaga, Wolfgang, 2025. "Navigating the future of B2B marketing: The transformative impact of the industrial metaverse," Journal of Business Research, Elsevier, vol. 188(C).
  50. Mitrega, Maciej & Klézl, Vojtěch & Spáčil, Vojtěch, 2022. "Systematic review on customer citizenship behavior: Clarifying the domain and future research agenda," Journal of Business Research, Elsevier, vol. 140(C), pages 25-39.
  51. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
  52. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Skare, 2024. "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1736-1770, March.
  53. Feng Ji & Yonghua Zhou & Hongjian Zhang & Guiqing Cheng & Qubo Luo, 2025. "Navigating the Digital Odyssey: AI-Driven Business Models in Industry 4.0," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5714-5757, March.
  54. Mohit Tyagi & Nomesh B. Bolia, 2025. "Integrating revenue management and targeted advertising strategies to improve resource allocation in the restaurant industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(4), pages 368-379, August.
  55. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
  56. FUCIU Mircea, 2020. "New Marketing Tendencies In The Romanian Wine Industry," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(1), pages 31-39, April.
  57. Jansen, Thomas & Moura, Francisco Tigre, 2024. "WOM, eWOM and WOMachine: The evolution of consumer recommendations through a systematic review of 194 studies," IU Discussion Papers - Marketing & Communication 3 (Juni 2024), IU International University of Applied Sciences.
  58. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
  59. Srikrishna Chintalapati & Shivendra Kumar Pandey, 2025. "Factors driving the adoption of AI-powered marketing in financial services: a practitioner field study," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 52(1), pages 17-36, March.
  60. van Heerde, Harald J. & Dekimpe, Marnik G., 2024. "Household and retail panel data in retailing research: Time for a renaissance?," Journal of Retailing, Elsevier, vol. 100(1), pages 104-113.
  61. Lutz, Bernhard & Pröllochs, Nicolas & Neumann, Dirk, 2022. "Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation," Journal of Business Research, Elsevier, vol. 144(C), pages 888-901.
  62. Wierenga, Berend, 2021. "The study of important marketing issues in an evolving field," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 18-28.
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