Stand-alone or run together: artificial intelligence as an enabler for other technologies

Ignat Kulkov, Julia Kulkova, Daniele Leone, René Rohrbeck, Loick Menvielle
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Abstract

Purpose

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Design/methodology/approach

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

Findings

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

Originality/value

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

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独立或一起运行:人工智能作为其他技术的推动者
本研究的目的是研究人工智能(AI)在医疗保健行业转型中的作用,重点是人工智能如何促进创业和价值创造。这项研究还旨在探索将人工智能与云计算、区块链、物联网、增材制造和5G等其他技术结合在医疗保健行业的潜力。设计/方法/方法选择探索性定性方法来分析来自美国、欧盟、亚洲和南美的22个案例研究。数据来源为公共和专业播客平台。研究结果表明,结合技术可以为技术企业家创造竞争优势,并实现从简单的消费设备到可操作的医疗保健应用的转变。本研究的结果确定了三个主要的创业领域:1。分析,包括裁员、患者预测和决策支持;2. 安全,包括防范网络攻击和发现非典型案例;3. 性能优化,除了减少医疗程序的时间和成本外,还包括员工培训、降低资本成本和开拓新市场。独创性/价值本研究展示了如何将人工智能与其他技术结合起来,在医疗保健行业共同创造价值。本研究在研究结果的基础上提出了“人工智能促进者-人工智能成就者”的概念框架,并为技术创业和技术管理的学术文献提供了若干理论贡献,并提出了具有实际意义的行业建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.20
自引率
16.40%
发文量
94
期刊介绍: The International Journal of Entrepreneurial Behavior & Research (IJEBR) has a unique focus on publishing original research related to the human and social dynamics of entrepreneurship, and entrepreneurial management in small and growing organizations. The journal has an international perspective on entrepreneurship and publishes conceptual papers and empirical studies which bring together issues of interest to academic researchers and educators, policy-makers and practitioners worldwide.The editorial team encourages high-quality submissions which advance the study of human and behavioural dimensions of entrepreneurship and smaller organizations. Examples of topics which illustrate the scope of the journal are provided below. Topicality Nascent entrepreneurship and new venture creation Management development and learning in smaller businesses Enterprise and entrepreneurship education, learning and careers Entrepreneurial psychology and cognition Management and transition in smaller, growing and family-owned enterprises Corporate entrepreneurship and venturing Entrepreneurial teams, management and organizations Social, sustainable and informal entrepreneurship National and international policy, historical and cultural studies in entrepreneurship Gender, minority and ethnic entrepreneurship Innovative research methods and theoretical development in entrepreneurship Resourcing and managing innovation in entrepreneurial ventures.
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