Business model innovation and creativity impact on entrepreneurship development: An empirical study

IF 0.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Web Intelligence Pub Date : 2024-05-15 DOI:10.3233/web-230006

Vazakas Anastasios

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引用次数: 0

Abstract

Creative ideas are introduced to the market by business owners, and inventiveness creates new demands that cause existing markets to be disrupted and new ones to be created, which are then destroyed by even more innovative goods or services. In this rsesearch work, an empirical study is undertaken to gather information about business model innovation and creativity as well as Entrepreneurship development in Greek SMEs. Using the stratum sample size determination formula, a valid sample of 257 people influenced the study. SEM and the F-test were used in the research’s data analysis. The findings of the study demonstrate that entrepreneurship has a significant connection between business model innovation & creativity and digital capabilities. The test results also indicate that digital capabilities have a favorable impact on the business model innovation & creativity. They also found that the creativity and innovation of business models have a favorable impact on entrepreneurs’ business survival. However, the creativity and innovation of business models have no favorable impact on entrepreneurs’ business performance and reputation.

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商业模式创新和创意对创业发展的影响：实证研究

企业主将创意引入市场，创造性产生新的需求，从而扰乱现有市场，创造新的市场，然后被更具创新性的商品或服务所摧毁。在这项研究工作中，我们开展了一项实证研究，以收集有关希腊中小企业商业模式创新和创造力以及企业家精神发展的信息。利用分层抽样规模确定公式，257 人的有效样本对研究产生了影响。研究数据分析采用了 SEM 和 F 检验。研究结果表明，创业在商业模式创新与创造力和数字化能力之间有着重要的联系。检验结果还表明，数字化能力对商业模式创新与创造力具有有利影响。他们还发现，商业模式的创意和创新对创业者的企业生存有有利影响。但是，商业模式的创造性和创新性对企业家的商业绩效和声誉没有有利影响。

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

Web Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Web Intelligence (WI) is an official journal of the Web Intelligence Consortium (WIC), an international organization dedicated to promoting collaborative scientific research and industrial development in the era of Web intelligence. WI seeks to collaborate with major societies and international conferences in the field. WI is a peer-reviewed journal, which publishes four issues a year, in both online and print form. WI aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with Collective Intelligence, Data Science, Human-Centric Computing, Knowledge Management, and Network Science. It is committed to publishing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of technologies based on Web intelligence. The journal features high-quality, original research papers (including state-of-the-art reviews), brief papers, and letters in all theoretical and technology areas that make up the field of WI. The papers should clearly focus on some of the following areas of interest: a. Collective Intelligence[...] b. Data Science[...] c. Human-Centric Computing[...] d. Knowledge Management[...] e. Network Science[...]

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