Barriers to the Integration of Artificial Intelligence in Algerian Startups
Keywords:
Artificial Intelligence, Technology Adoption, Startups, Emerging Economies, Innovation BarriersAbstract
Despite the potential of Artificial Intelligence (AI), its integration within Algerian startups remains limited. This study aims to identify and categorise the primary barriers hindering AI adoption in this emerging ecosystem. Using a qualitative methodology, we conducted semi-structured interviews with 21 Algerian startup managers. The findings reveal a complex interplay of interconnected technical, financial, human capital, and institutional barriers that create mutually reinforcing cycles. These results extend the Technology-Organization-Environment (TOE) framework by highlighting the systemic nature of these challenges. Addressing these compounded obstacles through holistic, ecosystem-level interventions is crucial for unlocking AI’s transformative potential.
References
Abadli, R., Kooli, C., & Otmani, A. (2020). Entrepreneurial culture and promotion of exporting in algerian smes: Perception, reality and challenges. International Journal of Entrepreneurship and Small Business, 41(2), 227.
Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100218.
Ade-Ibijola, A., & Okonkwo, C. (2023). Artificial intelligence in africa: Emerging challenges. Social and Cultural Studies of Robots and AI, 101-117.
Ahmi, A., Saidin, S. Z., & Abdullah, A. (2014). It adoption by internal auditors in public sector: A conceptual study. Procedia - Social and Behavioral Sciences, 164, 591-599.
Alam, M. Z., Hu, W., Kaium, A., Hoque, R., & Alam, M. M. D. (2020). Understanding the determinants of mhealth apps adoption in bangladesh: A sem-neural network approach. Technology in Society, 61, 101255.
Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial intelligence adoption : AI-readiness at firm-level. Proceedings of PACIS2018 : Pacific Asia Conference in Information Systems (PACIS), 37. https://research.monash.edu/en/publications/artificial-intelligence-adoption-ai-readiness-at-firm-level.
Amankwah-Amoah, J., & Lu, Y. (2022). Harnessing ai for business development: A review of drivers and challenges in africa. Production Planning & Control, 35(13), 1551-1560.
Ameur, N. D., & Bengabou, H. K. (2024). Analysis of the start-up ecosystem in Algeria: Opportunities and challenges. Institut Cedimes.
Aouissi, Warda, & Hamra, Y. (2025). Assessment of the Startup Ecosystem in Algeria based on the Global Startup Ecosystem Index (GSEI): An Analytical Study. Journal of Economic Papers, 16(1), 86-100. https://asjp.cerist.dz/en/article/267066.
Ardito, L., Filieri, R., Raguseo, E., & Vitari, C. (2024). Artificial intelligence adoption and revenue growth in European SMEs: Synergies with IoT and big data analytics. Internet Research.
Baiocco, S., Leoni, L., & Paniccia, P. M. A. (2023). Entrepreneurship for sustainable development: Co-evolutionary evidence from the tourism sector. Journal of Small Business and Enterprise Development, 30(7), 1521‑1546.
Baker, J. (2011). The technology–organization–environment framework. Integrated Series in Information Systems, 231-245.
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(1).
Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, Elsevier, 57(C).
Budhwar, P. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on chatgpt. Human Resource Management Journal, 33(3), 606-659.
Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2021). Does data-driven culture impact innovation and performance of a firm? an empirical examination. Annals of Operations Research, 333(2-3), 601-626.
Dalton, J. (2025). Answer to the letter to the editor of T. Tanaka et al. concerning “patients on antidepressants are more likely to be discharged to inpatient rehabilitation after lumbar fusion” by J. Dalton et al. European Spine Journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319.
Deira, A. (2022). Les startups à l’ère des nouvelles technologies : état des lieux des startups numériques en Algérie [Startups in the era of new technologies: state of play of digital startups in Algeria]. The Journal of the New Economy, 13(2), 857-876. https://asjp.cerist.dz/en/article/200937.
Dwivedi, Y. K., Rana, N. P., & Jeyaraj, A. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21, 719–734.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719‑734.
Esfandiari, E. (2024). Obstacles to the development of the use of artificial intelligence from the point of view of physicians working in selected aja medical centers: A qualitative content analysis study. Jundishapur Journal of Chronic Disease Care, 14(1).
Fereday, J., & Muir-Cochrane, E. (2006). Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development. International Journal of Qualitative Methods, 5(1), 80-92.
Fèvres, J. (2012). Everett M. Rogers, diffusion of innovations. Essais, 1, 135-137.
Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in smes. Journal of Industrial Information Integration, 16, 100107.
Handoko, L. B., Riantono, E. I., & Sunarto, W. F. (2021). Determinants affecting intention of use of big data analytics on remote audits: Toe framework approach. 2021 7th International Conference on Education and Training Technologies, 53-59.
Hinane El-Kadi, T. (2024). Learning along the digital silk road? technology transfer, power, and chinese ict corporations in north africa. The Information Society, 40(2), 136-153.
Jouiet, I., & Ghaleb, N. E. A. E. (2025). Barriers to the integration of artificial intelligence in public sector internal audit in Morocco: An exploratory study. Edelweiss Applied Science and Technology, 9(5), 1291‑1302.
Kadi, M. (2020). Factors influencing the export commitment of smes: Algerian case. Palgrave Studies of Internationalization in Emerging Markets, 59-85.
Kallio, H., Pietilä, A. M., Johnson, M., & Kangasniemi, M. (2016). Systematic methodological review: developing a framework for a qualitative semi-structured interview guide. Journal of advanced nursing, 72(12), 2954–2965.
Khanfar, A. A. (2024). Determinants of artificial intelligence adoption: Research themes and future directions. Information Technology and Management.
Khelil, S. (2022). Analyse de l’écosystème des startups en Algérie (Etat des lieux et Perspectives) [Analysis of the Startup Ecosystem in Algeria (State of Play and Perspectives)]. The Journal of Development and Prospecting for Research and Studies, 7(1), 293-310. https://asjp.cerist.dz/en/article/191143.
Kouah, K. (2025). Digital Transformation And Its Impact On The Performance Of Banks In Algeria During The Period 2013-2023.
Kozlowski, S. W. J., & Ilgen, D. R. (2006). Enhancing the Effectiveness of Work Groups and Teams. Psychological Science in the Public Interest, 7(3), 77-124.
Kraus, S. (2021). Digital transformation: An overview of the current state of the art of research. Sage Open, 11(3).
Lee, S. M., Lee, D., & Kim, Y. S. (2019). The quality management ecosystem for predictive maintenance in the industry 4.0 era. International Journal of Quality Innovation, 5(1).
Makulilo, A. B. (2020). The long arm of gdpr in africa: Reflection on data privacy law reform and practice in mauritius. The International Journal of Human Rights, 25(1), 117-146.
Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies. Qualitative Health Research, 26(13), 1753-1760.
Martins, M. M. R. (2024). Startup guide to ai: Integrating technology for business success. International Journal of Scientific Research and Management (IJSRM), 12(6), 1264-1274.
Mehdaoui, A. (2024). Unveiling barriers and challenges of ai technology integration in education: Assessing teachers’ perceptions, readiness and anticipated resistance. Futurity Education, 4(4), 95-108.
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434.
Mili, K. (2025). From code to quality: How ai is transforming quality management in algerian startups. International Journal of Innovative Research and Scientific Studies, 8(1), 1770-1776.
Necib, A. (2024). Le développement des startups en Algérie [The development of startups in Algeria]. Revue des Economies financières bancaires et de management, 13(1), 602-611. https://asjp.cerist.dz/en/article/244843.
Neumann, O., Guirguis, K., & Steiner, R. (2022). Exploring artificial intelligence adoption in public organizations: A comparative case study. Public Management Review, 26(1), 114-141.
Nyberg, A. J., Schleicher, D. J., Bell, B. S., Boon, C., Cappelli, P., Collings, D. G., Dalle Molle, J. E., Feuerriegel, S., Gerhart, B., Jeong, Y., Korsgaard, M. A., Minbaeva, D., Ployhart, R. E., Tambe, P., Weller, I., Wright, P. M., & Yakubovich, V. (2025). A Brave New World of Human Resources Research: Navigating Perils and Identifying Grand Challenges of the GenAI Revolution. Journal of Management, 51(6), 2677-2718.
Oldemeyer, L., Jede, A., & Teuteberg, F. (2024). Investigation of artificial intelligence in smes: A systematic review of the state of the art and the main implementation challenges. Management Review Quarterly, 75(2), 1185-1227.
P. C., L. (2024). The application of ai in new start-ups. Advances in Finance, Accounting, and Economics, 171-184.
Restrepo-Morales, J. A. (2024). Breaking the digitalization barrier for smes: A fuzzy logic approach to overcoming challenges in business transformation. Journal of Innovation and Entrepreneurship, 13(1).
Richey, R. G. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics, 44(4), 532-549.
Rogers, E. M. (2004). A Prospective and Retrospective Look at the Diffusion Model. Journal of Health Communication, 9(sup. 1), 13–19.
Ryan, F., Coughlan, M. J., & Cronin, P. (2009). Interviewing in qualitative research: The one-to-one interview. International journal of therapy and rehabilitation, 16, 309-314.
Saadé, R. G. (2007). Dimensions of perceived usefulness: Toward enhanced assessment. Decision Sciences Journal of Innovative Education, 5(2), 289-310.
Schwaeke, J. (2024). The new normal: The status quo of ai adoption in smes. Journal of Small Business Management, 63(3), 1297-1331.
Singh, R. P. (2020). Current challenges and barriers to real-world artificial intelligence adoption for the healthcare system, provider, and the patient. Association for Research in Vision and Ophthalmology (ARVO).
StartupBlink. (n. d.). The Startup Ecosystem of Algeria—Rankings, Startups, and Insights. https://www.startupblink.com/startup-ecosystem/algeria.
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157.
Uriarte, S. (2025). Artificial intelligence technologies and entrepreneurship: A hybrid literature review. Review of Managerial Science.
Van der Vlist, F., Helmond, A., & Ferrari, F. (2024). Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence. Big Data & Society, 11(1).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478.
Yang, J., Blount, Y., & Amrollahi, A. (2024). Artificial intelligence adoption in a professional service industry: A multiple case study. Technological Forecasting and Social Change, 201, 123251.
Yuwono, T., Suroso, A., & Novandari, W. (2024). Information and communication technology in smes: A systematic literature review. Journal of Innovation and Entrepreneurship, 13(1).
Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on ai dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11(1).
Zhou, Y. (2025). Untitled. Journal of Environmental Health Science & Engineering, 23(2), 28.
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