Information technology consulting start-ups in emerging markets faced considerable challenges in establishing market visibility against well-established competitors, particularly because of limited marketing resources. Although digital marketing and artificial intelligence were increasingly presented as potential solutions, limited empirical evidence had documented their adoption within this sector and context. This study examined how a Tunisian information technology consulting start-up perceived and used digital marketing and artificial intelligence to strengthen its competitive position. Nine semi-structured interviews were conducted with members of the management team, clients, and a prospective client of a company anonymized as AlphaTech Consulting. The interview data were supplemented by a review of the relevant literature and analyzed using the thematic analysis approach proposed by Braun and Clarke. Thematic saturation was reached after the eighth interview. Five principal themes emerged. First, limited digital visibility was perceived as a major competitive constraint. Second, search engine optimization and the production of expert content were regarded as the most sustainable mechanisms for improving visibility. Third, artificial intelligence tools increased the volume, consistency, and frequency of marketing activities without requiring substantial additional resources, although systematic editorial oversight remained necessary. Fourth, a clear tension emerged between automated interactions and the relationship-based requirements of business-to-business consulting. Consequently, the company differentiated between activities managed through digital tools and those requiring direct consultant involvement. Fifth, customer data governance was viewed not merely as a regulatory obligation but also as an important indicator of credibility and trustworthiness. Based on these findings, ten managerial recommendations were developed across three implementation horizons. The study contributed to the literature on artificial intelligence adoption in the marketing practices of business-to-business service-oriented small and medium-sized enterprises in emerging markets by proposing a sequential hybridization model that combined automation with human interaction. The limitations associated with the single-case study design were also acknowledged.
Global IT Services Market Revenue 2023–2028. (accessed on 01 June 2024) Available online: https://www.statista.com.
Ministry of Communication Technologies and Digital Transformation. (2023). Annual report on the state of ICT in Tunisia; Ministry of Communication Technologies and Digital Transformation: Tunis, Tunisia.
World Bank. (2023). Report on the digital transformation in North Africa; World Bank: Washington D.C., USA.
Insider Intelligence. Global Digital Ad Spending 2024. (accessed on 01 June 2024) Available online: https://www.insiderintelligence.com.
The State of AI in 2023: Generative AI's Breakout Year. (accessed on 01 June 2024) Available online: https://www.mckinsey.com.
Chaffey, D.; Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation, and Practice, 7th ed.; Pearson: London, UK.
Kannan, P.K.; Li, H.A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34, 22–45. https://doi.org/10.1016/j.ijresmar.2016.11.006.
Järvinen, J.; Taiminen, H. (2016). Harnessing marketing automation for B2B content marketing. Industrial Marketing Management, 54, 164–175. https://doi.org/10.1016/j.indmarman.2015.07.002.
Huang, M.H.; Rust, R.T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30–50. https://doi.org/10.1007/s11747-020-00749-9.
Dwivedi, Y.K.; Kshetri, N.; Hughes, L.; et al. (2023). "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.
Sheth, J.N. (2011). Impact of emerging markets on marketing: Rethinking existing perspectives and practices. Journal of Marketing, 75, 166–182. https://doi.org/10.1509/jmkg.75.4.166.
Sharma, A. (1997). Professional as agent: Knowledge asymmetry in agency exchange. Academy of Management Review, 22, 758–798. https://doi.org/10.5465/amr.1997.9708210725.
Akerlof, G.A. (1970). The market for 'lemons': Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84, 488–500. https://doi.org/10.2307/1879431.
Tyagi, G.; Verma, R.K.; Sharma, A. (2025). SMEs and artificial intelligence in Oman: A case of the insurance sector. Issues in Information Systems, 26, 472–483. https://doi.org/10.48009/3_iis_2025_138.
Enshassi, M.; Nathan, R.J.; Soekmawati; Ismail, H. (2025). Unveiling barriers and drivers of AI adoption for digital marketing in Malaysian SMEs. Journal of Open Innovation: Technology, Market, and Complexity, 11, 100519. https://doi.org/10.1016/j.joitmc.2025.100519.
Bashir, T.; Zhongfu, T.; Sadiq, B.; Naseem, A. (2024). How AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value. Frontiers in Artificial Intelligence, 7, 1451228. https://doi.org/10.3389/frai.2024.1451228.
Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87, 355–374. https://doi.org/10.2307/1882010.
Heskett, J. (2020). Components of effective digital marketing. Marketing Science, 39, 201–215.
Royle, J.; Laing, A. (2014). The digital marketing skills gap: Developing a digital marketer model for the communication industries. International Journal of Information Management, 34, 65–73. https://doi.org/10.1016/j.ijinfomgt.2013.11.008.
Taiminen, H.M.; Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22, 633–651. https://doi.org/10.1108/JSBED-05-2013-0073.
Berman, R.; Katona, Z. (2013). The role of search engine optimization in search marketing. Marketing Science, 32, 644–651. https://doi.org/10.1287/mksc.2013.0787.
Tavoletti, E.; Kazakov, D.; Dao, M. (2022). Business models in consulting: A systematic review. Journal of Management Consulting, 33, 44–67.
de Man, A.P.; Luvison, D.; de Leeuw, T. (2016). Business models in management consulting. Journal of Strategic Management, 9, 463–480.
Richter, M.; Schröder, S. (2006). Knowledge management in IT consulting firms. Journal of Information Technology Consulting, 18, 302–318.
Kumar, S.; Patel, V.; Mehta, R. (2022). NLP in AI content generation for marketing. Journal of Artificial Intelligence Applications, 7, 55–71.
Choudhury, A.; Singh, R.; Kumar, M. (2023). Predictive analytics in retail marketing. International Journal of AI in Marketing, 5, 12–29.
Syam, N.; Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and AI in sales research and practice. Industrial Marketing Management, 69, 135–146. https://doi.org/10.1016/j.indmarman.2017.12.019.
Goldfarb, A.; Tucker, C. (2011). Privacy regulation and online advertising. Management Science, 57, 57–71. https://doi.org/10.1287/mnsc.1100.1246.
Busch, O. (Ed.) (2016). Programmatic Advertising: The Successful Transformation to Automated, Data-Driven Marketing in Real-Time; Springer: Berlin, Germany.
Gnewuch, U.; Morana, S.; Maedche, A. (2017). Towards designing cooperative and social conversational agents for customer service. Proceedings of the 38th International Conference on Information Systems, Seoul, South Korea.
Harrison, M. (2023). Chatbots and customer satisfaction in B2B services. Journal of Digital Customer Experience, 4, 18–35.
Ryan, B. (2020). Workflow automation in digital marketing. Journal of Marketing Automation, 6, 88–104.
Soto-Acosta, P.; Popa, S.; Palacios-Marqués, D. (2016). E-business, organizational innovation and firm performance in manufacturing SMEs: An empirical study in Spain. Technological and Economic Development of Economy, 22, 885–904. https://doi.org/10.3846/20294913.2015.1074126.
Erevelles, S.; Fukawa, N.; Swayne, L. (2016). Big data consumer analytics and the transformation of marketing. Journal of Business Research, 69, 897–904. https://doi.org/10.1016/j.jbusres.2015.07.001.
De Keyser, A.; Köcher, S.; Alkire, L.; et al. (2019). Frontline service technology infusion: Conceptual archetypes and future research directions. Journal of Service Management, 30, 156–183. https://doi.org/10.1108/JOSM-03-2018-0082.
Luo, X.; Tong, S.; Fang, Z.; Qu, Z. (2021). Frontiers: Machines vs. humans: The impact of AI chatbot disclosure on customer purchases. Marketing Science, 38, 937–947. https://doi.org/10.1287/mksc.2021.1294.
Denzin, N.K.; Lincoln, Y.S. (2018). The SAGE Handbook of Qualitative Research, 5th ed.; SAGE Publications: Thousand Oaks, USA.
Yin, R.K. (2018). Case Study Research and Applications: Design and Methods, 6th ed.; SAGE Publications: Thousand Oaks, USA.
Lincoln, Y.S.; Guba, E.G. (1985). Naturalistic Inquiry; SAGE Publications: Beverly Hills, USA.
Braun, V.; Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101. https://doi.org/10.1191/1478088706qp063oa.
Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology, 2nd ed.; SAGE Publications: Thousand Oaks, USA.
Williams, D.; Garcia, H. (2022). AI and the competitive advantage for startups. Journal of Innovation and Technology, 9, 100–118.
Wirtz, J.; Patterson, P.G.; Kunz, W.H.; et al. (2018). Brave new world: Service robots in the frontline. Journal of Service Management, 29, 907–931. https://doi.org/10.1108/JOSM-04-2018-0119.
Kirmani, A.; Rao, A.R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of Marketing, 64, 66–79. https://doi.org/10.1509/jmkg.64.2.66.17995.
Martin, K.D.; Murphy, P.E. (2017). The role of data privacy in marketing. Journal of the Academy of Marketing Science, 45, 135–155. https://doi.org/10.1007/s11747-016-0495-4.
Moorman, C.; Day, G.S. (2016). Organizing for marketing excellence. Journal of Marketing, 80, 6–35. https://doi.org/10.1509/jm.15.0423.
Silverman, D. (2013). Doing Qualitative Research, 4th ed.; SAGE Publications: London, UK.
SUBMITTED: 24 June 2026
ACCEPTED: 26 July 2026
PUBLISHED:
30 July 2026
SUBMITTED to ACCEPTED: 33 days
DOI:
https://doi.org/10.53623/jdmc.v6i2.1274