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The future of marketing

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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. 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.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. 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).
  8. 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.
  9. 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.
  10. 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.
  11. 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).
  12. 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.
  13. Pedersen, Carsten Lund, 2023. "The paradoxical marketer: Interpretations, illustrations, and implications," Business Horizons, Elsevier, vol. 66(6), pages 765-776.
  14. Yao, Alex, 2023. "Uncovering heterogeneous prestige effect in luxury consumption: Insights from the Chinese luxury market," Journal of Business Research, Elsevier, vol. 168(C).
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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).
  25. 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.
  26. Achrol, Ravi S. & Kotler, Philip, 2022. "Distributed marketing networks: The fourth industrial revolution," Journal of Business Research, Elsevier, vol. 150(C), pages 515-527.
  27. 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.
  28. 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.
  29. 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.
  30. Herman Donner & Michael Steep, 2021. "Monetizing the IoT Revolution," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Nordin, Fredrik & Ravald, Annika, 2023. "The making of marketing decisions in modern marketing environments," Journal of Business Research, Elsevier, vol. 162(C).
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
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