English
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Parole chiave

marketing automation
digitalization
heuristics
entrepreneurship

Come citare

Guercini, S. (2026). English. Piccola Impresa Small Business, (2). https://doi.org/10.14596/pisb.6232

Abstract

Purpose. This editorial sets out some reflections and arguments on the impact of marketing automation (MA) on the role of entrepreneurial marketers and on the marketing content of the entrepreneurial roles in small firms.

Design/methodology/approach. The relevant literature covers the role of artificial intelligence (AI) in marketing, which we examine here specifically in relation to MA, understood not only in its more established sense of operational and routine activities, but also in those aspects of strategic marketing and decision-making that carry greater importance and added value. In addition to the literature, we draw on the findings of surveys and studies carried out with consultants specialising in MA and small businesses operating as international traders and in digital advertising.

Findings. The relationship between the use of AI in MA is integrated in hybrid forms with the role of the human element. Competences become fundamental – not only those to be acquired, but also those to be preserved in a context of integration with AI. The argument under discussion is that AI does not conflict with heuristic models of decision-making, but rather establishes a complex relationship with them – a relationship that can give rise to paradoxes and opportunities.

Practical and Social implications. The integration of MA is a topical business issue, with some companies – including small ones – embarking on significant exploration and learning initiatives, at least in certain sectors that are more exposed to technology and international markets. A key issue is that of the competences to be developed and maintained.

Originality of the study. The study is original in that it offers some previously unpublished reflections on the relationship between AI, MA and heuristic decision-making processes, putting forward a number of hypotheses which could be the subject of future research.

https://doi.org/10.14596/pisb.6232
PDF (English)

Riferimenti bibliografici

Biegel, B. (2009). The current view and outlook for the future of marketing automation. Journal of Direct, Data and Digital Marketing Practice, 10(3), 201-213. https://doi.org/10.1057/dddmp.2008.37

Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110-134. https://doi.org/10.1177/1536504219865226

Bucklin, R., Lehmann, D., & Little, J. (1998). From decision support to decision automation: A 2020 vision. Marketing Letters, 9(3), 235-246. https://doi.org/10.1023/A:1008047504898

Carson, D. J. (1985). The evolution of marketing in small firms. European Journal of Marketing, 19(5), 7-16. https://doi.org/10.1108/EUM0000000004739

Fisher, D., & Fleming, P. (2026). Competing with smart machines: the dark side of ‘conjoined agency’ in contemporary organizations. Organization Studies, 47(5), 713-737. https://doi.org/10.1177/01708406251391972

Gigerenzer, G. (2022). How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms. MIT Press. https://lccn.loc.gov/2021035121

Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451-482. https://doi.org/10.1146/annurev-psych-120709-145346

Guercini, S., & Lechner, C. (2023). Competence Attrition: A linguistic theory of the effects of external competence acquisition for organizations. Organization Theory, 4(2), 26317877231180890. https://doi.org/10.1177/26317877231180890

Guercini, S., & Sestino, A. (2026). Bridging Artificial Intelligence and Marketing Automation: Toward the Hybrid Intelligence Marketing System Paradigm. Micro & Macro Marketing, 35(2), 223-233. https://doi.org/10.1431/120967

Guercini, S. (2012). Processi euristici e marketing imprenditoriale. Piccola Impresa/Small Business, n. 3, 9-29. https://doi.org/10.14596/pisb.30

Guercini, S., Milanesi, M., & Sorrentino, A. (2026). Lo stato della marketing automation e dell’intelligenza artificiale nelle imprese italiane (The state of marketing automation and artificial intelligence in the Italian firms), research report in collaboration with Floox SRL Benefit company.

Guercini, S. (2022). Scope of heuristics and digitalization: the case of marketing automation. Mind & Society, 21(2), 151-164. https://doi.org/10.1007/s11299-022-00291-x

Guercini, S. (2023a). Marketing automation and the scope of marketers' heuristics. Management Decision, 61(13), 295-320. https://doi.org/10.1108/MD-07-2022-0909

Guercini, S. (2023b). Marketing automation and decision making: the role of heuristics and AI in marketing. Edward Elgar Publishing. http://dxdoi.org/10.4337/9781035312870

Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50. https://doi.org/10.1007/s11747-020-00749-9

Katsikopoulos, K. V., Simsek, O., Buckmann, M., & Gigerenzer, G. (2020). Classification in the wild: The science and art of transparent decision making. MIT Press. https://lccn.loc.gov/2020015193

Kazansky, B., & Milan, S. (2021). “Bodies not templates”: Contesting dominating algorithmic imaginaries. New Media & Society, 23(2), 363–381. https://doi.org/10.1177/1461444820929316

Klein, G. A. (1998). Sources of power: How people make decisions. MIT press. https://lccn.loc.gov/2017006485

Kozinets, R. V., & Gretzel, U. (2021). Commentary: Artificial intelligence: The marketer’s dilemma. Journal of Marketing, 85(1), 156-159. https://doi.org/10.1177/0022242920972933

Little, J. D. (2001). Marketing automation on the internet. In 5th Invitational Choice Symposium, June, 1-5.. https://www.andrew.cmu.edu/user/alm3/presentations

Marewski, J. N., Katsikopoulos, K. V., & Guercini, S. (2024). Simon’s scissors: meta-heuristics for decision-makers. Management Decision, 62(13), 283-308. https://doi.org/10.1108/MD-06-2023-1073

Mero, J., Tarkiainen, A., & Tobon, J. (2020). Effectual and causal reasoning in the adoption of marketing automation. Industrial Marketing Management, 86, 212-222. https://doi.org/10.1016/j.indmarman.2019.12.008

Miller, J. (2013). The definitive guide to marketing automation. [ebook] Creative director, Marketo. https://cdn.website-editor.net/25dd89c80efb48d88c2c233155dfc479/files/uploaded/The-Definitive-Guide-to-Marketing-Automation2.pdf

Morgan, N. A., Jayachandran, S., Hulland, J., Kumar, B., Katsikeas, C., & Somosi, A. (2022). Marketing performance assessment and accountability: Process and outcomes. International Journal of Research in Marketing, 39(2), 462-481. https://doi.org/10.1016/j.ijresmar.2021.10.008

Murray, A., Rhymer, J., & Sirmon, D. G. (2021). Humans and technology: Forms of conjoined agency in organizations. Academy of Management Review, 46(3), 552–571. https://doi.org/10.5465/amr.2019.0186

Pagani, M., & Wind, Y. (2025). Unlocking marketing creativity using artificial intelligence. Journal of Interactive Marketing, 60(1), 1-24. https://doi.org/10.1177/10949968241265855

Pamungkas, B. A. (2023). Marketing Automation in Academic Literature: A Systematic Analysis of its Definitions and Categories. Journal of Organization and Business, 1(2). https://doi.org/10.52644/m9e86y14

Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of marketing, 85(1), 131-151. https://doi.org/10.1177/0022242920953847

Rezazade Mehrizi, M. H. (2023). Pre-framing an emerging technology before it is deployed at work: The case of artificial intelligence and radiology. Journal of Computer-Mediated Communication, 28(4). https://doi.org/10.1093/jcmc/zmad029

Sarasvathy, S. D. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26(2), 243-263. https://doi.org/10.5465/amr.2001.4378020

Świeczak, W. (2013). Marketing automation processes as a way to improve contemporary marketing of a company. Marketing Instytucji Naukowych i Badawczych, (3 (9)), 71-84. https://doi.org/10.14611/minib.09.03.2013.06

Thaler, R. H., & Sunstein, C. R. (2003). Nudge: Improving decisions about health, wealth, and happiness. Penguin. with the https://doi.org/10.1257/000282803321947001

Van Bruggen, G. H., & Wierenga, B. (2010). Marketing decision making and decision support: Challenges and perspectives for successful marketing management support systems. Foundations and Trends® in Marketing, 4(4), 209-332. https://doi.org/10.1561/1700000022

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Copyright (c) 2026 Simone Guercini