Journals / Uluslararası Anadolu Sosyal Bilimler Dergisi / 2024 / Cilt: 8 Sayı: 4

UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs

KOBİ'LER BAĞLAMINDA YAPAY ZEKANIN ROLÜNÜN ANLAŞILMASI

Ayça Kübra Hızarcı(DOKUZ EYLÜL ÜNİVERSİTESİ, İŞLETME FAKÜLTESİ)0000-0002-8386-9136
Alara Tarier(DOKUZ EYLÜL ÜNİVERSİTESİ, İŞLETME FAKÜLTESİ)0000-0002-4810-7451
Özge Özgen(DOKUZ EYLÜL ÜNİVERSİTESİ, İŞLETME FAKÜLTESİ)0000-0002-1328-3658
Gülüzar Kurt Gümüş(DOKUZ EYLÜL ÜNİVERSİTESİ, İŞLETME FAKÜLTESİ)0000-0002-9016-285X
Pages
970–995
Publication Date
2024-12-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study provides a systematic review of the literature on the operationalization of artificial intelligence (AI) within small and medium-sized enterprises (SMEs), aiming to develop an integrated conceptual framework for understanding AI adoption.
📊
Key Findings & Data:AI adoption yields diverse outcomes, including enhanced operational efficiency, improved customer engagement, and greater innovation, but these vary based on industry, firm size, and resource capacity.
💡
Conclusion & Impact:The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zeka · Küçük ve Orta Ölçekli İşletmeler (KOBİ · Yapay Zeka Adaptasyonu

Abstract

This study provides a systematic review of the literature on the operationalization of artificial intelligence (AI) within small and medium-sized enterprises (SMEs), aiming to develop an integrated conceptual framework for understanding AI adoption. The findings indicate that Technological readiness plays a pivotal role, with SMEs requiring knowledge of AI applications, methods, and capabilities to adopt AI effectively. AI adoption yields diverse outcomes, including enhanced operational efficiency, improved customer engagement, and greater innovation, but these vary based on industry, firm size, and resource capacity. The study emphasizes that AI is not a unitary concept but a multi-dimensional construct, with operationalization requiring alignment with organizational dynamic capabilities. This review offers a framework for understanding AI adoption, helping to bridge fragmented findings in the literature.

Özet

Bu çalışma, yapay zeka adaptasyonunu anlamak için entegre bir kavramsal çerçeve geliştirmeyi amaçlayarak, küçük ve orta ölçekli işletmelerde (KOBİ'ler) yapay zeka adaptasyonu kavramının operasyonel hale getirilmesine ilişkin literatürün sistematik bir incelemesini sunmaktadır. Bulgular, teknolojik hazırlığın çok önemli bir rol oynadığını ve KOBİ'lerin yapay zekayı etkin bir şekilde benimsemek için yapay zeka uygulamaları, yöntemleri ve yetenekleri hakkında bilgi sahibi olmaları gerektiğini göstermektedir. Yapay zekanın benimsenmesi, gelişmiş operasyonel verimlilik, daha fazla müşteri katılımı ve inovasyon kapsamında ilerleme dahil olmak üzere çeşitli sonuçlar doğurmaktadır. Ancak söz konusu sonuçlar, sektöre, firma büyüklüğüne ve kaynak kapasitesine göre değişmektedir. Çalışma, yapay zekanın üniter bir kavram değil, çok boyutlu bir yapı olduğunu ve operasyonelleştirmenin organizasyonel dinamik yetkinliklerle uyum gerektirdiğini vurgulamaktadır. Bu çalışma, yapay zekanın KOBİ’lerde adaptasyonunu anlamak için bir çerçeve sunmakta, literatürdeki parçalı bulgular arasında köprü kurmaya yardımcı olmaktadır ve KOBİ bağlamında gelecekteki araştırma ve uygulamalara rehberlik etmektedir.

🔖

Cite This Article

Hızarcı, A. K., Tarier, A., Özgen, Ö., Gümüş, G. K. (2024). UNDERSTANDING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF SMEs. Uluslararası Anadolu Sosyal Bilimler Dergisi, Cilt: 8 Sayı: 4, 970–995. https://doi.org/10.47525/ulasbid.1572700

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References (84)

  1. Abollado, J. R., Shehab, E., & Bamforth, P. (2017). Challenges and benefits of digital workflow implementation in aerospace manufacturing engineering. Procedia CIRP, 60, 80-85. https://doi.org/10.1016/j.procir.2017.02.044
  2. Abrokwah-Larbi, K., & Awuku-Larbi, Y. (2023). The impact of artificial intelligence in marketing on the performance of business organizations: evidence from SMEs in an emerging economy. Journal of Entrepreneurship in Emerging Economies. https://doi.org/10.1108/jeee-07-2022-0207
  3. Ågerfalk, P. J. (2020). Artificial intelligence as digital agency. European Journal of Information Systems, 29(1), 1–8. https://doi.org/10.1080/0960085X.2020.1721947
  4. Aghion, P., Akcigit, U., Bergeaud, A., Blundell, R., & Hémous, D. (2019). Innovation and top income inequality. The Review of Economic Studies, 86(1), 1-45. https://doi.org/10.1093/restud/rdy027
  5. Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Exploring the impact of artificial intelligence: Prediction versus judgment. Information Economics and Policy, 47, 1-6. https://doi.org/10.1016/j.infoecopol.2019.05.001
  6. Ahuja, G., & Morris Lampert, C. (2001). Entrepreneurship in the large corporation: A longitudinal study of how established firms create breakthrough inventions. Strategic management journal, 22(6‐7), 521-543. https://doi.org/10.1002/smj.176
  7. Alsheibani, S. A., Cheung, Y., Messom, C. H., & Alhosni, M. (2020, August). Winning AI Strategy: Six-Steps to Create Value from Artificial Intelligence. In AMCIS (Vol. 11).
  8. Baabdullah, A. M., Alalwan, A. A., Slade, E. L., Raman, R., & Khatatneh, K. F. (2021). SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices. Industrial Marketing Management, 98, 255–270. https://doi.org/10.1016/j.indmarman.2021.09.003
  9. Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S.,. & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102. https://doi.org/10.1257/jep.31.4.73
  10. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120. https://doi.org/10.1177/01492063910170010
  11. Basri, W. (2020). Examining the Impact of Artificial Intelligence (AI)-Assisted Social Media Marketing on the Performance of Small and Medium Enterprises: Toward Effective Business Management in the Saudi Arabian Context. International Journal of Computational Intelligence Systems, 13(1), 142. https://doi.org/10.2991/ijcis.d.200127.002
  12. Bedell-Pearce, J. (2018). Safe digital transformation for SMEs. Network Security, 2018(11), 6-7. https://doi.org/10.1016/S1353-4858(18)30110-7
  13. Bianchini, M. & V. Michalkova (2019), "Data Analytics in SMEs: Trends and Policies", OECD SME and Entrepreneurship Papers, No. 15, OECD Publishing, Paris. https://doi.org/10.1787/1de6c6a7-en.
  14. Chakraborty, D., & Biswas, W. (2019). Evaluating the impact of human resource planning programs in addressing the strategic goal of the firm: An organizational perspective. Journal of advances in management research, 16(5), 659-682. https://doi.org/10.1108/JAMR-01-2019-0007
  15. Chatterjee, S., Chaudhuri, R., Vrontis, D., & Basile, G. (2022). Digital transformation and entrepreneurship process in SMEs of India: a moderating role of adoption of AI-CRM capability and strategic planning. Journal of Strategy and Management, 15(3), 416–433. https://doi.org/10.1108/jsma-02-2021-0049
  16. Cheng, B., Lin, H., & Kong, Y. (2023). Challenge or hindrance? How and when organizational artificial intelligence adoption influences employee job crafting. Journal of Business Research, 164, 113987, 1-10. https://doi.org/10.1016/j.jbusres.2023.113987
  17. Cockburn, I. M., Henderson, R., & Stern, S. (2019). 4. The impact of artificial intelligence on innovation: An exploratory analysis. In The economics of artificial intelligence (pp. 115-148). University of Chicago Press. https://doi.org/10.7208/9780226613475-006
  18. Damioli, G., Van Roy, V., & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Economic Review, 11(1), 1–25. https://doi.org/10.1007/s40821-020-00172-8
  19. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116. https://blockqai.com/wp-content/uploads/2021/01/analytics-hbr-ai-for-the-real-world.pdf
  20. Denicolai, S., Zucchella, A., & Magnani, G. (2021). Internationalization, digitalization, and sustainability: Are SMEs ready? A survey on synergies and substituting effects among growth paths. Technological Forecasting and Social Change, 166, 120650. https://doi.org/10.1016/j.techfore.2021.120650
  21. Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024). Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises. International Journal of Production Research, 62(15), 5417-5456. https://doi.org/10.1080/00207543.2023.2179859
  22. Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International journal of information management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
  23. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T.,. & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  24. Fonseka, K., Jaharadak, A. A., & Raman, M. (2022). Impact of E-commerce adoption on business performance of SMEs in Sri Lanka; moderating role of artificial intelligence. International Journal of Social Economics, 49(10), 1518–1531. https://doi.org/10.1108/ijse-12-2021-0752
  25. Grashof, N., & Kopka, A. (2023). Artificial intelligence and radical innovation: an opportunity for all companies?. Small Business Economics, 61(2), 771-797. https://doi.org/10.1007/s11187-022-00698-3 Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
  26. Hansen, E. B., & Bøgh, S. (2021). Artificial intelligence and internet of things in small and medium-sized enterprises: A survey. Journal of Manufacturing Systems, 58, 362-372. https://doi.org/10.1016/j.jmsy.2020.08.009
  27. Helfat, C. E., & Peteraf, M. A. (2003). The dynamic resource‐based view: Capability lifecycles. Strategic management journal, 24(10), 997-1010. https://doi.org/10.1186/s12911-022-01917-3
  28. Helfat, C. E. (2009). Understanding dynamic capabilities: Progress along a developmental path. Strategic Organization, 7(1), 91-102. https://doi.org/10.1177/1476127008100133
  29. Helfat, C. E., & Winter, S. G. (2011). Untangling dynamic and operational capabilities: Strategy for the (N) ever‐changing world. Strategic management journal, 32(11), 1243-1250. https://doi.org/10.1002/smj.955
  30. Hess, T., Matt, C., Benlian, A., & Wiesböck, F. (2020). Options for Formulating a Digital Transformation Strategy. In Routledge eBooks (pp. 151–173). https://doi.org/10.4324/9780429286797-7
  31. Hibban, M. & Dr. Abhishek. (2024). Innovation management among the Indian small and medium-sized enterprises focusing on artificial intelligence: Opportunities and the way forward. Indian Journal of Commerce and Management Studies, 15(2), 10–17. Retrieved from https://www.ijcms.in/index.php/ijcms/article/view/667
  32. Huang, M. H., & Rust, R. T. (2022). A framework for collaborative artificial intelligence in marketing. Journal of Retailing, 98(2), 209-223. https://doi.org/10.1016/j.jretai.2021.03.001
  33. Iansiti, M., & Lakhani, K. R. (2020). From disruption to collision: The new competitive dynamics. MIT Sloan Management Review, 61(3), 34-39. https://www.proquest.com/openview/40406f4f48e46a7908da7ed32cc36fe5/1?pq-origsite=gscholar&cbl=26142
  34. Ibarra-Morales, L. E., Blanco-Jimenez, M., & Hurtado-Bringas, B. A. (2020). Internationalization of industrial small-medium enterprises in an emerging country. Academia Revista Latinoamericana de Administracion, 33(1), 71-94. https://doi.org/10.1108/ARLA-10-2018-0223
  35. Jalil, M. F., Lynch, P., Marikan, D. A. B. A., & Isa, A. H. B. M. (2024). The influential role of artificial intelligence (AI) adoption in digital value creation for small and medium enterprises (SMEs): does technological orientation mediate this relationship?. AI & SOCIETY, 1-22. https://doi.org/10.1007/s00146-024-01969-1
  36. Kumar, M., Raut, R. D., Mangla, S. K., Ferraris, A., & Choubey, V. K. (2022). The adoption of artificial intelligence powered workforce management for effective revenue growth of micro, small, and medium scale enterprises (MSMEs). Production Planning & Control, 1–17. https://doi.org/10.1080/09537287.2022.2131620
  37. Kopka, A., & Fornahl, D. (2023). Artificial intelligence and firm growth — catch-up processes of SMEs through integrating AI into their knowledge bases. Small Business Economics, 62(1), 63–85. https://doi.org/10.1007/s11187-023-00754-6
  38. Krkač, K. (2019). Corporate social irresponsibility: humans vs artificial intelligence. Social Responsibility Journal, 15(6), 786-802. https://doi.org/10.1108/SRJ-09-2018-0219
  39. Lada, S., Chekima, B., Karim, M. R. A., Fabeil, N. F., Ayub, M. S., Amirul, S. M.,. & Zaki, H. O. (2023). Determining factors related to artificial intelligence (AI) adoption among Malaysia's small and medium-sized businesses. Journal of Open Innovation: Technology, Market, and Complexity, 9(4), 100144. https://doi.org/10.1016/j.joitmc.2023.100144
  40. Lee, Y. Y., & Falahat, M. (2019). The impact of digitalization and resources on gaining competitive advantage in international markets: Mediating role of marketing, innovation and learning capabilities. Technology Innovation Management Review, 9(11). http://doi.org/10.22215/timreview/1281
  41. Lemos, S. I., Ferreira, F. A., Zopounidis, C., Galariotis, E., & Ferreira, N. C. (2022). Artificial intelligence and change management in small and medium-sized enterprises: an analysis of dynamics within adaptation initiatives. Annals of Operations Research, 1-27. https://doi.org/10.1007/s10479-022-05159-4
  42. Liñán, F., Paul, J. & Fayolle. (2020). A. SMEs and entrepreneurship in the era of globalization: advances and theoretical approaches. Small Bus Econ 55, 695–703. https://doi.org/10.1007/s11187-019-00180-7
  43. Lu, X., Wijayaratna, K., Huang, Y., & Qiu, A. (2022). AI-enabled opportunities and transformation challenges for SMEs in the post-pandemic era: a review and research agenda. Frontiers in Public Health, 10, 885067. https://doi.org/10.3389/fpubh.2022.885067
  44. Mamedov, O., Tumanyan, Y., Ishchenko-Padukova, O., & Movchan, I. (2018). Sustainable economic development and post-economy of artificial intelligence. Entrep. Sustain, (2018), 6. https://doi.org/10.9770/jesi.2018.6.2(37)
  45. Matt, C., Hess, T. & Benlian, A. (2015). Digital Transformation Strategies. Bus Inf Syst Eng 57, 339–343. https://doi.org/10.1007/s12599-015-0401-5
  46. McKinsey (2024 May), The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai#/, (Access date: 12.08.2024)
  47. Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106, 213-228. https://doi.org/10.1007/s11192-015-1765-5
  48. Murgai, A. (2018). Transforming Digital Marketing with Artificial Intelligence. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), VII(IV), 259-262.
  49. Nadi, A. H., Ahshan, K. A., Rahman, S., & Sofin, M. R. (2024). The Role of Artificial Intelligence in Business Management: The Future of Small and Medium-Sized Enterprise. In Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship (pp. 117-133). IGI Global. https://10.4018/979-8-3693-1842-3.ch008
  50. Nagy, M., Lăzăroiu, G., & Valaskova, K. (2023). Machine intelligence and autonomous robotic technologies in the corporate context of SMEs: Deep learning and virtual simulation algorithms, cyber-physical production networks, and Industry 4.0-based manufacturing systems. Applied Sciences, 13(3), 1681. https://doi.org/10.3390/app13031681
  51. Ng, S. C., Sweeney, J. C., & Plewa, C. (2019). Managing customer resource endowments and deficiencies for value cocreation: complex relational services. Journal of Service Research, 22(2), 156-172. https://doi.org/10.1177/1094670518812195
  52. OECD. (2019). Strengthening SMEs and Entrepreneurship for Productivity and Inclusive Growth. OECD Studies on SMEs and Entrepreneurship. https://www.oecd.org/en/publications/2019/07/strengthening-smes-and-entrepreneurship-for-productivity-and-inclusive-growth_fe146d56.html, (Access date: 10.08.2024)
  53. 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, 1-43. https://doi.org/10.1007/s11301-024-00405-4
  54. Palas, J. U., Sorwar, G., Hoque, M. R., & Sivabalan, A. (2022). Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model. BMC medical informatics and decision making, 22(1), 191. https://doi.org/10.1186/s12911-022-01917-3
  55. Paul, J., & Mas, E. (2019). Toward a 7-P framework for international marketing. Journal of Strategic Marketing, 28(8), 681–701. https://doi.org/10.1080/0965254x.2019.1569111
  56. Peretz-Andersson, E., Tabares, S., Mikalef, P., & Parida, V. (2024). Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach. International Journal of Information Management, 77, 102781. https://doi.org/10.1016/j.ijinfomgt.2024.102781
  57. Polas, M. R. H., Jahanshahi, A. A., Kabir, A. I., Sohel-Uz-Zaman, A. S. M., Osman, A. R., & Karim, R. (2022). Artificial intelligence, blockchain technology, and risk-taking behavior in the 4.0 IR Metaverse Era: evidence from Bangladesh-based SMEs. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 168. https://doi.org/10.3390/joitmc8030168
  58. Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (2018). Artificial intelligence in business gets real. MIT Sloan Management Review. https://sloanreview.mit.edu/projects/artificial-intelligence-in-business-gets-real/
  59. Rashidirad, M., & Salimian, H. (2020). SMEs’ dynamic capabilities and value creation: the mediating role of competitive strategy. European Business Review, 32(4), 591-613. https://doi.org/10.1108/EBR-06-2019-0113
  60. Roux, M., Chowdhury, S., Kumar Dey, P., Vann Yaroson, E., Pereira, V., & Abadie, A. (2023). Small and medium-sized enterprises as technology innovation intermediaries in sustainable business ecosystem: interplay between AI adoption, low carbon management and resilience. Annals of Operations Research, 1-50. https://doi.org/10.1007/s10479-023-05760-1
  61. Sanders, N. R., Boone, T., Ganeshan, R., & Wood, J. D. (2019). Sustainable supply chains in the age of AI and digitization: research challenges and opportunities. Journal of Business logistics, 40(3), 229-240. https://doi.org/10.1111/jbl.12224
  62. Schönberger, M. (2023). Artificial intelligence for small and medium-sized enterprises: identifying key applications and challenges. Journal of Business Management, 21, 89-112. https://doi.org/10.32025/JBM23004
  63. Selenko, E., Bankins, S., Shoss, M., Warburton, J., & Restubog, S. L. D. (2022). Artificial Intelligence and the Future of Work: A Functional-Identity Perspective. Current Directions in Psychological Science, 31(3), 272–279. https://doi.org/10.1177/09637214221091823
  64. Sharma, S., Singh, G., Islam, N., & Dhir, A. (2024). Why Do SMEs Adopt Artificial Intelligence-Based Chatbots?. IEEE Transactions on Engineering Management, 71, 1773–1786. https://doi.org/10.1109/tem.2022.3203469
  65. Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021). How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research, 134, 574-587.https://doi.org/10.1016/j.jbusres.2021.05.009 Sotamaa, T., Reiman, A., & Kauppila, O. (2024). Manufacturing SME risk management in the era of digitalisation and artificial intelligence: a systematic literature review. Continuity & Resilience Review. https://doi.org/10.1108/CRR-12-2023-0022 Srinivasan, S., & Hanssens, D. M. (2009). Marketing and Firm Value: Metrics, methods, findings, and future directions. Journal of Marketing Research, 46(3), 293–312. https://doi.org/10.1509/jmkr.46.3.293
  66. Srinivasan, A., & Venkatraman, N. (2018). Entrepreneurship in digital platforms: A network‐centric view. Strategic Entrepreneurship Journal, 12(1), 54-71. https://doi.org/10.1002/sej.1272
  67. Subramaniam, M., Iyer, B., & Venkatraman, V. (2019). Competing in digital ecosystems. Business Horizons, 62(1), 83-94. https://doi.org/10.1016/j.bushor.2018.08.013
  68. Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640
  69. Ulrich, P., Frank, V., & Buettner, R. (2023). Artificial intelligence in small and medium-sized family firms: An empirical study on the impact of family influence. Corporate Governance and Organizational Behavior Review, 7(1), 72–80. https://doi.org/10.22495/cgobrv7i1p7
  70. Verma, S., Sahu, S. P., & Sahu, T. P. (2023). Stock Market Forecasting with Different Input Indicators using Machine Learning and Deep Learning Techniques: A Review. Engineering Letters, 31(1).
  71. Wamba-Taguimdje, S. L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020).
  72. Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893–1924. https://doi.org/10.1108/bpmj-10-2019-0411
  73. Wang, J., Lu, Y., Fan, S., Hu, P. & Wang, B. (2022), "How to survive in the age of artificial intelligence? Exploring the intelligent transformations of SMEs in central China". International Journal of Emerging Markets, 17(4), 1143-1162. https://doi.org/10.1108/IJOEM-06-2021-0985
  74. Wang, K.-L., Sun, T., & Xu, R. (2023). The impact of artificial intelligence on total factor productivity: Empirical evidence from China’s manufacturing enterprises. Economic Change and Restructuring, 56(2), 1113–1146. https://doi.org/10.1007/s10644-022- 09467-4
  75. Wang, J. (2024). Using artificial intelligence to analyze SME e-commerce utilization and growth strategies. Journal of Computational Methods in Sciences and Engineering, 24(1), 611-621. https://10.3233/JCM-226933
  76. Wei, R., & Pardo, C. (2022). Artificial intelligence and SMEs: How can B2B SMEs leverage AI platforms to integrate AI technologies?. Industrial Marketing Management, 107, 466–483. https://doi.org/10.1016/j.indmarman.2022.10.008
  77. World Bank. (2020). Small and Medium Enterprises (SMEs) Finance. https://www.worldbank.org/en/topic/smefinance, (Access date: 12.08.2024)
  78. Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., & Perrault, R. (2021). The AI index 2021 annual report. arXiv preprint arXiv:2103.06312. https://doi.org/10.48550/arXiv.2103.06312
  79. Banerjee, A., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S.,. & Walton, M. (2017). From proof of concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73-102. https://doi.org/10.1257/jep.31.4.73
  80. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T.,. & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  81. Lada, S., Chekima, B., Karim, M. R. A., Fabeil, N. F., Ayub, M. S., Amirul, S. M.,. & Zaki, H. O. (2023). Determining factors related to artificial intelligence (AI) adoption among Malaysia's small and medium-sized businesses. Journal of Open Innovation: Technology, Market, and Complexity, 9(4), 100144. https://doi.org/10.1016/j.joitmc.2023.100144
  82. McKinsey (2024 May), The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai#/, (Access date: 12.08.2024)
  83. OECD. (2019). Strengthening SMEs and Entrepreneurship for Productivity and Inclusive Growth. OECD Studies on SMEs and Entrepreneurship. https://www.oecd.org/en/publications/2019/07/strengthening-smes-and-entrepreneurship-for-productivity-and-inclusive-growth_fe146d56.html, (Access date: 10.08.2024)
  84. World Bank. (2020). Small and Medium Enterprises (SMEs) Finance. https://www.worldbank.org/en/topic/smefinance, (Access date: 12.08.2024)