Artificial Intelligence and the Great Reset: Impacts and Perspectives for Italian SMEs Business Model Innovation

IF 2.3 4区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Systems Pub Date : 2024-08-28 DOI:10.3390/systems12090330

Valerio Muto, Simone Luongo, Martina Percuoco, Mario Tani

{"title":"Artificial Intelligence and the Great Reset: Impacts and Perspectives for Italian SMEs Business Model Innovation","authors":"Valerio Muto, Simone Luongo, Martina Percuoco, Mario Tani","doi":"10.3390/systems12090330","DOIUrl":null,"url":null,"abstract":"The rise of artificial intelligence is fundamentally transforming the competitive landscape across various sectors, offering visionary enterprises new pathways to innovation development and to get a competitive edge. AI leverages data, analysis, and observations to perform tasks without hard coding, and benefits from self-learning and continuous improvement. We use Systems Thinking to frame how managers may adopt and integrate AI in business activities. We also investigate the motivations driving entrepreneurs to adopt AI solutions, and how they may impact on sustainable business model innovation, by administering a questionnaire to a sample of innovative Italian SMEs to get a comprehensive overview of the dynamics influencing AI adoption in business. This study sheds light on the intricate relationship between technology, sustainability, and corporate innovation. It offers both valuable insights for future research and for strategic managerial decisions on AI integration. Furthermore, it helps the development of innovative, sustainable business models in the evolving landscape of the Great Reset.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"10 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.3390/systems12090330","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

The rise of artificial intelligence is fundamentally transforming the competitive landscape across various sectors, offering visionary enterprises new pathways to innovation development and to get a competitive edge. AI leverages data, analysis, and observations to perform tasks without hard coding, and benefits from self-learning and continuous improvement. We use Systems Thinking to frame how managers may adopt and integrate AI in business activities. We also investigate the motivations driving entrepreneurs to adopt AI solutions, and how they may impact on sustainable business model innovation, by administering a questionnaire to a sample of innovative Italian SMEs to get a comprehensive overview of the dynamics influencing AI adoption in business. This study sheds light on the intricate relationship between technology, sustainability, and corporate innovation. It offers both valuable insights for future research and for strategic managerial decisions on AI integration. Furthermore, it helps the development of innovative, sustainable business models in the evolving landscape of the Great Reset.

查看原文本刊更多论文

人工智能与大重启：意大利中小型企业商业模式创新的影响和前景

人工智能的兴起正在从根本上改变各行各业的竞争格局，为有远见的企业提供了创新发展和获得竞争优势的新途径。人工智能利用数据、分析和观察来执行任务，无需进行硬编码，并受益于自我学习和持续改进。我们运用系统思维来构建管理者如何在商业活动中采用和整合人工智能的框架。我们还调查了推动企业家采用人工智能解决方案的动机，以及这些动机如何对可持续的商业模式创新产生影响，具体方法是对意大利创新型中小企业进行抽样问卷调查，以全面了解影响企业采用人工智能的动态因素。这项研究揭示了技术、可持续性和企业创新之间错综复杂的关系。它为未来的研究和有关人工智能整合的战略管理决策提供了宝贵的见解。此外，它还有助于在 "大重启 "的不断演变中开发创新、可持续的商业模式。

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分钟内获得全文求助全文

来源期刊