Commercialisation of artificial intelligence: a research on entrepreneurial companies with challenges and opportunities

IF 4.5 3区 管理学 Q1 BUSINESS Business Process Management Journal Pub Date : 2024-09-06 DOI:10.1108/bpmj-10-2023-0836
Duygu Güner Gültekin, Fatih Pinarbasi, Merve Yazici, Zafer Adiguzel
{"title":"Commercialisation of artificial intelligence: a research on entrepreneurial companies with challenges and opportunities","authors":"Duygu Güner Gültekin, Fatih Pinarbasi, Merve Yazici, Zafer Adiguzel","doi":"10.1108/bpmj-10-2023-0836","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":47964,"journal":{"name":"Business Process Management Journal","volume":"7 1","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Process Management Journal","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/bpmj-10-2023-0836","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能的商业化:对面临挑战和机遇的创业公司的研究
目的本研究论文的目的是通过分析成功商业化所需的基本资源和流程、图尔基耶人工智能计划的当代挑战和机遇以及这些计划所采用的各种模式和方法,为文献做出贡献。使用 MAXQDA20 软件工具对所有 10 个访谈进行了分析。研究结果根据研究结果,外部因素对市场未来的增长机会有重大影响。扩大客户群、获得国际认可和确保融资是成功的关键。然而,研究结果也揭示了相对年轻的本地生态系统所面临的挑战。一个主要的批评是缺乏对精炼产品营销和销售活动的支持。要解决这个问题,向有需要的人提供经济激励和知识转让至关重要。研究局限性/意义由于研究只针对建立并成功商业化人工智能导向型企业的创业者,考虑到这种有限的情况,建议未来的研究在广泛的样本群体中进行。此外,为克服幸存者偏差,建议后继研究将失败的商业化尝试纳入人工智能企业。创业者通常会借鉴自己之前的经验或观察行业趋势。鉴于国内市场可用的金融资源有限,以及土耳其品牌在吸引外国投资者方面面临的挑战,企业家们倾向于依靠内部方法进行商业化。研究内容包括对商业模式、商业化方法、机遇和挑战的定性分析。数据来自对该行业企业家的访谈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.60
自引率
9.80%
发文量
58
期刊介绍: Business processes are a fundamental building block of organizational success. Even though effectively managing business process is a key activity for business prosperity, there remain considerable gaps in understanding how to drive efficiency through a process approach. Building a clear and deep understanding of the range process, how they function, and how to manage them is the major challenge facing modern business. Business Process Management Journal (BPMJ) examines how a variety of business processes intrinsic to organizational efficiency and effectiveness are integrated and managed for competitive success. BPMJ builds a deep appreciation of how to manage business processes effectively by disseminating best practice. Coverage includes: BPM in eBusiness, eCommerce and eGovernment Web-based enterprise application integration eBPM, ERP, CRM, ASP & SCM Knowledge management and learning organization Methodologies, techniques and tools of business process modeling, analysis and design Techniques of moving from one-shot business process re-engineering to continuous improvement Best practices in BPM Performance management Tools and techniques of change management BPM case studies.
期刊最新文献
Research on the evaluation and enhancement strategies of manufacturing clustered supply chain synergies Big data analytics adoption success: value chain process-level perspective A holistic empirical approach to marketing activities and performance interaction in banking industry: the mediating role of customer-based brand equity Managing supply chain disruptions in pharmaceutical distribution: the roles of disruption orientation and mitigation strategies SME supply chain resilience in disruptive times: the effects of supply chain robustness, access to government assistance and disruption intensity
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1