Ignat Kulkov, Julia Kulkova, Daniele Leone, René Rohrbeck, Loick Menvielle
{"title":"独立或一起运行:人工智能作为其他技术的推动者","authors":"Ignat Kulkov, Julia Kulkova, Daniele Leone, René Rohrbeck, Loick Menvielle","doi":"10.1108/ijebr-02-2023-0169","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":51425,"journal":{"name":"International Journal of Entrepreneurial Behavior & Research","volume":"24 8","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stand-alone or run together: artificial intelligence as an enabler for other technologies\",\"authors\":\"Ignat Kulkov, Julia Kulkova, Daniele Leone, René Rohrbeck, Loick Menvielle\",\"doi\":\"10.1108/ijebr-02-2023-0169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>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.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>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.</p><!--/ Abstract__block -->\",\"PeriodicalId\":51425,\"journal\":{\"name\":\"International Journal of Entrepreneurial Behavior & Research\",\"volume\":\"24 8\",\"pages\":\"\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2023-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Entrepreneurial Behavior & Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/ijebr-02-2023-0169\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Entrepreneurial Behavior & Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijebr-02-2023-0169","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Stand-alone or run together: artificial intelligence as an enabler for other technologies
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.
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.