Trends of using artificial intelligence in measuring innovation potential

IF 0.9 Q4 ENGINEERING, INDUSTRIAL

Management and Production Engineering Review Pub Date : 2023-11-06 DOI:10.24425/mper.2019.129564

Miklós Gubán, Richárd Kása, Dávid Takács, Mihai-Constantin Avornicului

引用次数: 6

Abstract

Received: 11 October 2018 Abstract Accepted: 12 April 2019 The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company’s innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry’s large companies and built an adaptive neuro fuzzy inference system.

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使用人工智能来衡量创新潜力的趋势

摘要接收时间:2019年4月12日随着经济增长与创新的紧密联系，企业可持续发展管理的学术研究日趋成熟。在本文中，我们将展示我们的研究项目，旨在建立一个基于人工智能的神经模糊推理系统，能够近似公司的创新绩效，从而获得可持续创新潜力。为此，我们以匈牙利加工业大公司为实证样本，构建了自适应神经模糊推理系统。

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

Management and Production Engineering Review ENGINEERING, INDUSTRIAL-

CiteScore

2.80

自引率

21.40%

发文量

期刊介绍： Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.