Commercialisation of artificial intelligence: a research on entrepreneurial companies with challenges and opportunities
| dc.contributor.author | Güner Gültekin, Duygu | |
| dc.contributor.author | Pınarbaşı, Fatih | |
| dc.contributor.author | Yazıcı, Merve | |
| dc.contributor.author | Adıgüzel, Zafer | |
| dc.date.accessioned | 2025-06-11T11:39:10Z | |
| dc.date.available | 2025-06-11T11:39:10Z | |
| dc.date.issued | 2025 | |
| dc.department | İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, İşletme Bölümü | |
| dc.department | İstanbul Medipol Üniversitesi, İletişim Fakültesi | |
| dc.description.abstract | Purpose: The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives. Design/methodology/approach: Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure. Findings: Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital. Research limitations/implications: Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures. Practical implications: It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation. Originality/value: This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry. | |
| dc.identifier.citation | Güner Gültekin, D., Pınarbaşı, F., Yazıcı, M. ve Adıgüzel, Z. (2025). Commercialisation of artificial intelligence: a research on entrepreneurial companies with challenges and opportunities. Business Process Management Journal, 31(2), 605-630. http://dx.doi.org/10.1108/BPMJ-10-2023-0836 | |
| dc.identifier.doi | 10.1108/BPMJ-10-2023-0836 | |
| dc.identifier.endpage | 630 | |
| dc.identifier.issn | 1463-7154 | |
| dc.identifier.issn | 1758-4116 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-105001075465 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 605 | |
| dc.identifier.uri | http://dx.doi.org/10.1108/BPMJ-10-2023-0836 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/12944 | |
| dc.identifier.volume | 31 | |
| dc.identifier.wos | WOS:001304913200001 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Güner Gültekin, Duygu | |
| dc.institutionauthor | Pınarbaşı, Fatih | |
| dc.institutionauthor | Yazıcı, Merve | |
| dc.institutionauthorid | 0000-0001-9050-9414 | |
| dc.institutionauthorid | 0000-0001-9005-0324 | |
| dc.institutionauthorid | 0000-0002-3893-1084 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Business Process Management Journal | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Business Model | |
| dc.subject | Commercialisation | |
| dc.subject | Entrepreneurship | |
| dc.title | Commercialisation of artificial intelligence: a research on entrepreneurial companies with challenges and opportunities | |
| dc.type | Article |
