Abstract
Fundamental shifts in marketing such as e-commerce and trading platforms make cutting-edge technologies a strategic priority for business and marketing leaders, although companies and firms found difficulty achieving their full potential, as a company culture-resistant marketing approach. The most important cutting-edge technologies (also known as key new-age technologies) as artificial intelligence, blockchain, the internet of things, and machine learning are expected to support many aspects of marketing such as meeting customer expectations and contact, recommendation of products, and identifying customer behavior and needs. However, the growing bodies of knowledge in cutting-edge technology research may disengage or disorient people who aim to integrate effectively those technologies in their business models based on their company strategy and needs because lack of systematization and categorization of massive information in the field may lead to irrelevant content retrieval, wasting time, and failure to identify the state of the art of those technologies. To address the systematic knowledge gaps in the field, this paper reports on a systematic mapping study that identified a recommended portfolio of 22 papers in the years 2017–2022, each proposing their own sets of applications and important research contributions in these four new-age technologies. The papers that were extracted from relevant and important databases through a systematic filtering process are the result of reviewing entirely, analyzing, and categorizing candidate studies to answer the research questions. This work also provides the current state of the art on using cutting-edge technologies in marketing illustrated by a taxonomy. The findings highlighted artificial intelligence technologies as the most common category of using cutting-edge technologies in marketing. Finally, the study also presents major implications for the marketing community and future research agenda in the field.
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References
Petrescu, M., Krishen, A.S., Kachen, S., Gironda, J.T.: AI-based innovation in B2B marketing: an interdisciplinary framework incorporating academic and practitioner perspectives. Ind. Mark. Manag. 103, 61–72 (2022)
Kopalle, P.K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., Rindfleisch, A.: Examining artificial intelligence (AI) technologies in marketing via a global lens: current trends and future research opportunities. Int. J. Res. Mark. 39(2), 522–540 (2022)
Haleem, A., Javaid, M., Qadri, M.A., Singh, R.P., Suman, R.: Artificial intelligence (AI) applications for marketing: a literature-based study. Int. J. Intell. Netw. (2022)
van Esch, P., Stewart Black, J.: Artificial intelligence (AI): revolutionizing digital marketing. Australas. Mark. J. 29(3), 199–203 (2021)
Stallone, V., Wetzels, M., Klaas, M.: Applications of blockchain technology in marketing systematic review of marketing technology companies. Blockchain Res. Appl. 100023 (2021)
Lannquist, A.: Blockchain in an enterprise: How companies are using blockchain today. Blockchain at Berkeley (2018). https://blockchainatberkeley.blog/a-snapshot-ofblockchain-in-enterprise-d140a511e5fd
Lemos, C., Ramos, R.F., Moro, S., Oliveira, P.M.: Stick or twist—the rise of blockchain applications in marketing management. Sustainability 14(7), 4172 (2022)
Antoniadis, I., Kontsas, S., Spinthiropoulos, K.: Blockchain applications in marketing. . In: Proceedings of the 7th ICCMI (2019)
Petit, O., Velasco, C., Spence, C.: Digital sensory marketing: integrating new technologies into the multisensory online experience. J. Interact. Mark. 45, 42–61 (2019)
Marasco, A., Buonincontri, P., van Niekerk, M., Orlowski, M., Okumus, F.: Exploring the role of next-generation virtual technologies in destination marketing. J. Destin. Mark. Manag. 9, 138–148 (2018)
Kumar, V., Ramachandran, D., Kumar, B.: Influence of new-age technologies on marketing: a research agenda. J. Bus. Res. 125, 864–877 (2021)
Ma, L., Sun, B.: Machine learning and AI in marketing–Connecting computing power to human insights. Int. J. Res. Mark. 37(3), 481–504 (2020)
Terho, H., Mero, J., Siutla, L., Jaakkola, E.: Digital content marketing in business markets: activities, consequences, and contingencies along the customer journey. Ind. Mark. Manag. 105, 294–310 (2022)
Alarcón, C.N., Sepúlveda, A.U., Valenzuela-Fernández, L., Gil-Lafuente, J.: Systematic mapping on social media and its business relation. Eur. Res. Manag. Bus. Econ. 24(2), 104–113 (2018)
Thaha, A.R., Maulina, E., Muftiadi, R.A., Alexandri, M.B.: Digital marketing and SMEs: a systematic mapping study. Libr. Philos. Pract. (e-journal), 5113 (2021)
Balaji, M.S., Roy, S.K.: Value co-creation with the Internet of things technology in the retail industry. J. Mark. Manag. 33(1–2), 7–31 (2017)
Mehralian, M.M.: Effect of internet of things on marketing performance: the mediating role of entrepreneurship orientation. In: 25th Iranian Conference on Business Development and Digital Transformation (2022)
Ajayi, S., Loureiro, S.M.C., Langaro, D.: Internet of things and consumer engagement on retail: state-of-the-art and future directions. Eur. Med. J. Bus. (2022). (ahead-of-print)
Dlamini, N.N., Johnston, K.: The use, benefits, and challenges of using the Internet of Things (IoT) in retail businesses: a literature review. In: 2016 International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 430–436). IEEE, November 2016
Nguyen, B., Simkin, L.: The Internet of Things (IoT) and marketing: the state of play, future trends and the implications for marketing. J. Mark. Manag. 33(1–2), 1–6 (2017)
Malik, R.: Retail and internet of things: a digital transformation. In: Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology, pp. 251–260. IGI Global (2022)
Eshbayev, O.A., Mirzaliev, S.M., Rozikov, R.U., Kuzikulova, D.M., Shakirova, G.A.: NLP and ML-based approach of increasing the efficiency of environmental management operations and engineering practices. In: IOP Conference Series: Earth and Environmental Science, vol. 1045, no. 1, p. 012058. IOP Publishing, June 2022
Abubakar, A., Abdullah, H.H.: Building marketing intelligence capability with the internet of things for competitiveness: empirical evidence of selected retail companies in Oman. J. Glob. Bus. Adv. 14(6), 750–767 (2021)
Miskiewicz, R.: Internet of things in marketing: bibliometric analysis (2020)
Avezimbetovich Sharipov, K., Alisherovna Abdurashidova, N.: Benchmarking strategy for industrial enterprise development. In: Proceedings of the 5th International Conference on Future Networks & Distributed Systems, pp. 318–322, December 2021
Ikramov, M., Eshmatov, S., Samadov, A., Imomova, G., Boboerova, M.: Management marketing strategy for formation of local brand of milk and dairy products in the digital economy. Revista geintec-gestao inovacao e tecnologias 11(2), 443–466 (2021)
Mirzaliev, S.M., Homidov, H.H., Sharipov, K.A., Kholikova, N.A.: Perspectives of use of agricultural drones in Uzbekistan. In: IOP Conference Series: Earth and Environmental Science, vol. 1045, no. 1, p. 012147. IOP Publishing, June 2022
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Sharipov, K., Abdurashidova, N., Valiyeva, A., Tuychieva, V., Kholmatova, M., Minarova, M. (2023). A Systematic Mapping Study of Using the Cutting-Edge Technologies in Marketing: The State of the Art of Four Key New-Age Technologies. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_33
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