The Omnipresence of Marketing: A Literature Review on Ubiquitous Marketing Strategies
DOI:
https://doi.org/10.70716/reswara.v4i3.574Keywords:
marketing strategy, personalization, SMEs, systematic bibliometric literature review, ubiquitous marketingAbstract
This study is conducted to identify and synthesize the key success factors for implementing a Ubiquitous Marketing (UM) strategy in an increasingly dynamic, technology-driven, and digitalized competitive environment. The study applies a Systematic Bibliometric Literature Review (SBLR) using the SCOPUS database, focusing on publications in Business, Management, and Accounting from 2020 to 2025. A stringent screening process employing the keywords “Context” and “Personalized” as the core elements of UM yields a final set of 30 publications for analysis. The bibliometric results indicate that, although annual publication volumes fluctuate, the overall scholarly quality in this area is strong, with 68% of the selected works published in Q1 journals. The screened literature also demonstrates substantial academic influence, reflected in 394 total citations and an h-index of 13. The thematic synthesis highlights personalization as the central pillar of UM, increasingly enabled by the integration of artificial intelligence, big data, and machine learning to support ultra-personalization. At the same time, the literature emphasizes ethical and implementation challenges, particularly those related to data privacy, transparency, and security, which are essential to sustaining consumer trust. This study contributes a structured theoretical basis for understanding and operationalizing Ubiquitous Marketing (UM), clarifying the role of context and personalization, and outlining the key opportunities and constraints that shape successful implementation.
References
Al Haj Eid, M., Abu Hashesh, M., Sharabati, A.-A. A., Khraiwish, A., Al-Haddad, S., & Abusaimeh, H. (2024). Conceptualizing Ethical AI-Enabled Marketing: Current State and Agenda for Future Research. https://doi.org/10.20944/preprints202404.0786.v1
Al-Ahmed, H., Alshaketheep, K., Mansour, A., AlHamad, A., Alshurideh, M., Al Zeer, I., & Deeb, A. (2025). Exploring the Effectiveness of Personalized Marketing Strategies in E-commerce Platforms (pp. 567–579). https://doi.org/10.1007/978-3-031-95280-7_53
Alalwan, A. A., Algharabat, R. S., Baabdullah, A. M., Rana, N. P., Qasem, Z., & Dwivedi, Y. K. (2020). Examining the impact of mobile interactivity on customer engagement in the context of mobile shopping. Journal of Enterprise Information Management, 33(3), 627–653. https://doi.org/10.1108/JEIM-07-2019-0194
Alam, A. (2025). Ethical Challenges and Bias in AI-Driven Marketing (pp. 55–102). https://doi.org/10.4018/979-8-3373-4327-3.ch003
Alexiou, T., & Kameas, A. (2025). Context-Driven Service Provisioning for Ubiquitous Systems. Procedia Computer Science, 257, 15–22. https://doi.org/10.1016/j.procs.2025.03.005
Algasawneh, J., Hammadi, N. Q., Alma’abreh, S., Alkhawajah, N., Alqsass, M., Alfalayeh, G. A., & Najjar, A. (2025). The Ethical Dimensions in Digital Marketing: Navigating Data Privacy and Personalization. 2025 3rd International Conference on Cyber Resilience (ICCR), 1–7. https://doi.org/10.1109/ICCR67387.2025.11292175
Anwar, A., Thongpapanl, N., & Ashraf, A. R. (2021). Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage. Journal of Strategic Marketing, 29(8), 722–742. https://doi.org/10.1080/0965254X.2020.1786847
Batta, A., Pahuja, P., & Sharma, R. (2025). Exploring the Future of AI in Marketing and the Evolution of Consumer Insight Analysis (pp. 51–70). https://doi.org/10.4018/979-8-3373-3476-9.ch003
Beke, F. T., Eggers, F., & Verhoef, P. C. (2018). Consumer Informational Privacy: Current Knowledge and Research Directions. Foundations and Trends® in Marketing, 11(1), 1–71. https://doi.org/10.1561/1700000057
Belvedere, V., & Tunisini, A. (2020). Getting the Most from Omnichannel Management Strategy: Special Session: Best Articles from the Italian Marketing Association: An Abstract (pp. 185–186). https://doi.org/10.1007/978-3-030-42545-6_51
Bleier, A., Goldfarb, A., & Tucker, C. (2020). Consumer privacy and the future of data-based innovation and marketing. International Journal of Research in Marketing, 37(3), 466–480. https://doi.org/10.1016/j.ijresmar.2020.03.006
Bozkurt, S., Uğursoy, A. S., & Meral, S. P. (2024). The Impact of Personalized Messages and Designs on Consumer Experiences and Marketing Communications in Technology (pp. 135–164). https://doi.org/10.4018/979-8-3693-4318-0.ch007
Castelli, L., Salvador, A., Sartorato, P., & Olmedo, E. (2025). The AI Revolution in SMEs: Intelligent Personalization and Segmentation in Digital Marketing (pp. 143–156). https://doi.org/10.1007/978-3-032-05730-3_9
Chakranarayan, V. (2025). Hyper-Personalization in E-commerce Through AI and Big Data (pp. 129–138). https://doi.org/10.1007/978-3-031-96530-2_12
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022). Personalization in personalized marketing: Trends and ways forward. In Psychology and Marketing (Vol. 39, Number 8, pp. 1529–1562). John Wiley and Sons Inc. https://doi.org/10.1002/mar.21670
Chatterjee, S., Ghosh, S., & Chaudhuri, R. (2020). Adoption of Ubiquitous Customer Relationship Management (uCRM) in Enterprise: Leadership Support and Technological Competence as Moderators. Journal of Relationship Marketing, 19(2), 75–92. https://doi.org/10.1080/15332667.2019.1664870
Chhibber, R., & Chadha, C. (2020). Adoption of Localization in E-commerce (pp. 419–432). https://doi.org/10.1007/978-981-15-0372-6_34
Cioppi, M., Curina, I., Francioni, B., & Savelli, E. (2023). Digital transformation and marketing: a systematic and thematic literature review. Italian Journal of Marketing. https://doi.org/10.1007/s43039-023-00067-2
Darmody, A., & Zwick, D. (2020). Manipulate to empower: Hyper-relevance and the contradictions of marketing in the age of surveillance capitalism. Big Data and Society, 7(1). https://doi.org/10.1177/2053951720904112
Duralia, O. (2022). Consumer Behavior and Competition-Factors of a Successful Marketing Strategy. Studies in Business and Economics, 17(3), 70–79. https://doi.org/10.2478/sbe-2022-0046
Eriksson, C. I., & Åkesson, M. (2008). Ubiquitous advertising challenges. Proceedings - 7th International Conference on Mobile Business, ICMB 2008, Creativity and Convergence, 9–18. https://doi.org/10.1109/ICMB.2008.19
Fitri, Z. A., Ahmadi, F., Islam, M. A., Ponnampalam, E. N., Dunshea, F. R., & Suleria, H. A. R. (2025). A Systematic Review of Extraction Methods, Phytochemicals, and Food Applications of Moringa oleifera Leaves Using PRISMA Methodology. In Food Science and Nutrition (Vol. 13, Number 4). John Wiley and Sons Inc. https://doi.org/10.1002/fsn3.70138
Fjellström, D., Osarenkhoe, A., Pettersson, T., & Tadesse, D. (2020). The Role of Digitalization in SMEs’ Strategy Development: The Case of Sweden (pp. 65–88). https://doi.org/10.1007/978-3-030-45831-7_4
Garg, N., Gupta, K., Chelikani, H., & Ravada, P. (2024). The Evolution of Personalization From Traditional Marketing to AI Computing (pp. 415–444). https://doi.org/10.4018/979-8-3693-6552-6.ch019
Goldenberg, D. (2021). Putting the Role of Personalization into Context. SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2631–2632. https://doi.org/10.1145/3404835.3464929
Guinea, A. S., Seeliger, A., Pejović, V., Naeem, U., Scholl, P. M., Mihale-Wilson, C., Lascio, E. Di, Azam, M. A., Kuo, P. Y., Mühlhäuser, M., & Meurisch, C. (2019). UPA’19: 4th international workshop on ubiquitous personal assistance. UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 1099–1101. https://doi.org/10.1145/3341162.3347755
Guo, Y., Chen, Y., & Singh, S. K. (2025). Cross-border platforms’ coupling of artificial intelligence adoption and strategic agility for upgraded ESMEs’ global value chains: international marketing capability perspectives. International Marketing Review, 42(6), 1250–1283. https://doi.org/10.1108/IMR-10-2024-0418
Hallinger, P., & Kovačević, J. (2023). Applying bibliometric review methods in education: rationale, definitions, analytical techniques, and illustrations. In International Encyclopedia of Education(Fourth Edition) (pp. 546–556). Elsevier. https://doi.org/10.1016/B978-0-12-818630-5.05070-3
Hassan El-Annan, S., & Hassoun, R. (2024). Enhancing Consumer Trust Through Transparent Data Practices and Ethical Data Management in Business (pp. 105–148). https://doi.org/10.4018/979-8-3693-8357-5.ch005
Hawary, S. I. S. Al, & Obiadat, A. A. (2021). Does mobile marketing affect customer loyalty in Jordan. International Journal of Business Excellence, 23(2), 226. https://doi.org/10.1504/IJBEX.2021.113446
Huang, H., & Liu, S. Q. (2020). “Donate to help combat COVID-19!” How typeface affects the effectiveness of CSR marketing? International Journal of Contemporary Hospitality Management, 32(10), 3315–3333. https://doi.org/10.1108/IJCHM-05-2020-0462
Kannan, P. K., & Li, H. “Alice.” (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. https://doi.org/10.1016/j.ijresmar.2016.11.006
Khaw, T. Y., Amran, A., & Teoh, A. P. (2024). Factors influencing ESG performance: A bibliometric analysis, systematic literature review, and future research directions. Journal of Cleaner Production, 448, 141430. https://doi.org/10.1016/j.jclepro.2024.141430
Kobets, D., Terentieva, N., Shkvyria, N., Lysytsia, N., & Siemak, I. (2024). Digitalization and its Impact on the Development of Contemporary Marketing Strategies. In Economic Affairs (New Delhi) (Vol. 69, Number 2, pp. 1021–1040). AESSRA. https://doi.org/10.46852/0424-2513.3.2024.26
Kumar, R. (2025). Bibliometric Analysis: Comprehensive Insights into Tools, Techniques, Applications, and Solutions for Research Excellence. Spectrum of Engineering and Management Sciences, 3(1), 45–62. https://doi.org/10.31181/sems31202535k
Kushnarevych, A., & Kollárová, D. (2023). Development of Artificial Intelligence as a Breakthrough for Personalization in Marketing. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 1–6. https://doi.org/10.1109/ICECCME57830.2023.10252550
Le Dinh, T., Vu, M. C., & Tran, G. T. C. (2025). Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications. In Information (Switzerland) (Vol. 16, Number 5). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/info16050415
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
Li, K., Lau, B. P. L., Yuan, X., Ni, W., Guizani, M., & Yuen, C. (2023). Toward Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities. IEEE Internet of Things Journal, 10(24), 21855–21872. https://doi.org/10.1109/JIOT.2023.3302159
Loussaief, A., Cheng, E. Y.-L., Lin, M. Y.-C., & Cheng, J. M.-S. (2023). Location-Based Proximity Marketing: An Interactive Marketing Perspective. In The Palgrave Handbook of Interactive Marketing (pp. 753–782). Springer International Publishing. https://doi.org/10.1007/978-3-031-14961-0_33
Lubbe, W., Ham-Baloyi, W. ten, & Smit, K. (2020). The integrative literature review as a research method: A demonstration review of research on neurodevelopmental supportive care in preterm infants. Journal of Neonatal Nursing, 26(6), 308–315. https://doi.org/10.1016/j.jnn.2020.04.006
Mafuratidze, N., Wait, M., & Struweg, I. (2025). Defining Marketing in the Digital Age: An Opportunity to Advance Marketing Thought and Practice. Qualitative Report, 30(9), 4320–4344. https://doi.org/10.46743/2160-3715/2025.7679
Margulis, A., Boeck, H., & Laroche, M. (2020). Connecting with consumers using ubiquitous technology: A new model to forecast consumer reaction. Journal of Business Research, 121, 448–460. https://doi.org/10.1016/j.jbusres.2019.04.019
McGuigan, L., & Manzerolle, V. (2015). “All the world’s a shopping cart”: Theorizing the political economy of ubiquitous media and markets. New Media and Society, 17(11), 1830–1848. https://doi.org/10.1177/1461444814535191
Mollay, M., Sharma, D., Anawade, P., & Parlikar, C. (2026). The Impact of Privacy Regulations on Digital Marketing Practices: A Descriptive Study (pp. 81–90). https://doi.org/10.1007/978-981-96-7520-3_8
Muhlbauer, A., Zelinsky, T., & Kanhere, S. S. (2016). Platform zero: a step closer to ubiquitous computing. Concurrency and Computation: Practice and Experience, 28(3), 688–706. https://doi.org/10.1002/cpe.3366
Muis, I., Adhi, T. M., & Kamalia, R. F. (2024). THE IMPACT OF DIGITAL MARKETING AND INNOVATION ON MARKETING PERFORMANCE IS INFLUENCED THROUGH THE DEVELOPMENT OF A COMPETITIVE ADVANTAGE. Revista de Gestao Social e Ambiental, 18(8). https://doi.org/10.24857/rgsa.v18n8-081
Oe, H., & Nguyễn, H. (2021). Opportunities, challenges, and the future of cruise ship tourism: beyond COVID-19 with ubiquitous information sharing and decision-making. International Journal of Management and Decision Making, 20(3), 221. https://doi.org/10.1504/IJMDM.2021.116025
Passas, I. (2024). Bibliometric Analysis: The Main Steps. Encyclopedia, 4(2), 0. https://doi.org/10.3390/encyclopedia4020065
Pérez del Castillo, T., Díaz Soloaga, P., & McColl, J. (2020). Lifestyle branding as a brand-oriented positioning strategy: Insights from Spanish fashion consultants. Journal of Global Fashion Marketing, 11(4), 361–379. https://doi.org/10.1080/20932685.2020.1791727
Rahayu, T. A., Purnamasari, V. F. W., Rizky, M. A., Rahyadi, I., & Mani, L. (2025). Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing. Paper Asia, 41(1), 81–92. https://doi.org/10.59953/paperasia.v41i1b.313
Rao, S., & Moon, K. (2021). Literature Search for Systematic Reviews. In Principles and Practice of Systematic Reviews and Meta-Analysis (pp. 11–31). Springer International Publishing. https://doi.org/10.1007/978-3-030-71921-0_2
Safa, M., Naga Raju, M., Devendrappa, D. M., & Ashwini, A. N. (2025). Advances in Ubiquitous Computing: Integrating Location and Activity Sensing for Intelligent Services. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 16(1), 609–623. https://doi.org/10.58346/JOWUA.2025.I1.036
Setor, T. (2021). Information System-Marketing Manager Dyad Presence in Top Management Teams: A Study on Demographic Diversity, Power Disparity and Organizational Performance. SIGMIS-CPR 2021 - Proceedings of the 2021 Computers and People Research Conference, 61–62. https://doi.org/10.1145/3458026.3462149
Shirdi, A., Naruka, D., Bisi, B., & Jonnalagadda, A. K. (2025). Low-Cost AI Solutions for Behavioral Segmentation in Small Business Marketing. 2025 International Conference on Computing Technologies (ICOCT), 1–6. https://doi.org/10.1109/ICOCT64433.2025.11118844
Singh, M., Kushwah, J. S., Pawar, M. T., Sharma, R., Shrivastava, S., & Bhutani, M. (2025). Leveraging Machine Learning for Real-Time Loyalty Program Optimization (pp. 263–292). https://doi.org/10.4018/979-8-3693-8769-6.ch010
Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2020). Artificial Intelligence in Business: From Research and Innovation to Market Deployment. Procedia Computer Science, 167, 2200–2210. https://doi.org/10.1016/j.procs.2020.03.272
Sun, J. (2020). Ubiquitous Computing Capabilities and User-System Interaction Readiness: An Activity Perspective. Information Systems Frontiers, 22(1), 259–271. https://doi.org/10.1007/s10796-018-9866-3
Taneja, N. K. (2025). Personalization in Air Travel. Routledge. https://doi.org/10.4324/9781003665939
Tran, T. P., Blanchflower, T. M., & Lin, C.-W. (Wilson). (2024). Examining the effects of Facebook’s personalized advertisements on brand love. Journal of Marketing Theory and Practice, 32(1), 61–80. https://doi.org/10.1080/10696679.2022.2096637
Valdez Mendia, J. M., & Flores-Cuautle, J. J. A. (2022). Toward customer hyper-personalization experience — A data-driven approach. Cogent Business and Management, 9(1). https://doi.org/10.1080/23311975.2022.2041384
Vazirani, K., & Jaiwant, S. V. (2025). Mimicking Technology in Creating and Optimising Marketing Value, Customer Experience, Retention and Loyalty. In Marketing 5.0 (pp. 203–219). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83797-815-120251015
Wang, L., Jing, Z., Li, H., Li, C., & Su, Y. (2025). The Influence of AI-Driven Personalization in Social Media Marketing on Consumer Purchase Decisions and Behavior. International Journal of Accounting and Economics Studies, 12(5), 438–444. https://doi.org/10.14419/dcggbj32
Wijethilak, H. P. G. D., Singh, S. K., & Dhand, S. (2024). AI for Personalizing Customer Interactions (pp. 221–244). https://doi.org/10.4018/979-8-3373-0219-5.ch011
Xie, R., Ahmadi, F., Islam, M. A., Dunshea, F. R., Suleria, H. A. R., & Ponnampalam, E. N. (2025). A Systematic Review Using the PRISMA Methodology on Nutrients and Antioxidant Capacity in Moringa (Moringa oleifera Lam.) and Its Applications in the Food Industry. In Food Reviews International (Vol. 41, Number 8, pp. 2308–2324). Taylor and Francis Ltd. https://doi.org/10.1080/87559129.2025.2473673
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