Examination of The Relationship Between Sustainable Industry 4.0 and Business Performance

被引:10
作者
Olah, Judit [1 ,2 ]
Novotna, Andrea [3 ]
Sarihasan, Imran [4 ]
Erdei, Edina [5 ]
Popp, Jozsef [2 ,6 ]
机构
[1] John von Neumann Univ, Hungarian Natl Bank Res Ctr, H-6000 Kecskemet, Hungary
[2] Univ Johannesburg, Coll Business & Econ, Dept Publ Management & Governance, ZA-2006 Johannesburg, South Africa
[3] Inst Technol & Business Ceske Budejovice, Res Dept Econ & Nat Resources Management, Okruzni 517-10, Ceske Budejovice 37001, Czech Republic
[4] Polish Acad Sci, Inst Philosophy & Sociol IFISPAN, Warsaw, Poland
[5] Univ Debrecen, Fac Econ & Business, H-4032 Debrecen, Hungary
[6] John von Neumann Univ, Hungarian Acad Sci, Hungarian Natl Bank Res Ctr, H-6000 Kecskemet, Hungary
关键词
circular economy; sustainability factors; competitiveness; Industry; 4; 0; tools; risk factors; SERVICES; SYSTEMS; MODELS; SECTOR;
D O I
10.7441/joc.2022.04.02
中图分类号
F [经济];
学科分类号
02 ;
摘要
A circular economy recycles previously manufactured products at the end of their lifecycle with minimal or zero waste generation and the use of additional new resources. The priorities of the recycling system include waste minimisation, reuse, remanufacturing and improvement. Innovative methods can therefore be integrated into factories to ensure waste is used to feed energy systems, rather than them exacerbating deforestation. As part of the research presented in this paper, we examined the impact of sustainability factors within Hungarian food companies, Industry 4.0 tools, as well as other factors that support or hinder business performance. The article aims to present the tools used for evaluating the efficacy and competitiveness of the business models of Hungarian food companies within the context of Industry 4.0.The questionnaire survey was conducted between 2019 and 2020, during which data were collected from 276 food companies. The data were subsequently analysed using a broad range of statistical methods, including Cronbach's alpha index, factor analysis, K-mean clustering, one-way analysis of variance, cross-tabulation analysis, significance-effect matrix, Fornell-Larcker criterion, composition reliability index, and for the PLS path analysis, mean explained variance index, heterotrait-monotrait ratio, and predictive relevance. Researching sustainability factors is a means by which to strike a balance between economic, social and ecological factors so that a company can be efficient, effective and functional at the same time. Sustainable Industry 4.0 is an area of research that has yet to be explored by food companies.
引用
收藏
页码:25 / 43
页数:19
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