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10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022 ; : 185-190, 2022.
Article in English | Scopus | ID: covidwho-2136208

ABSTRACT

Industrial Internet of Things and Industry 4.0 have been increasingly prevalent in the manufacturing sector since the mid-2010s, and the COVID19 pandemic has only strengthened this trend. However, there is a wide variation between companies in the degree of industrial digitalization adopted and the deployment context. This is particularly relevant in the case of the industrial maintenance sector, one of the business segments with the highest potential for digitization. This paper analyses the work environment by looking at the differences in the digitalization experiences of large domestically owned and international companies according to maintenance professionals in Hungary. The benefits and challenges of implementing Industry 4.0 will be examined, highlighting the differences between various types of companies. © 2022 IEEE.

2.
1st International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021 ; 1485 CCIS:372-384, 2021.
Article in English | Scopus | ID: covidwho-1565282

ABSTRACT

The COVID-19 pandemic has had a very strong negative impact on the world’s economies and small and medium-sized companies have not been the exception. To mitigate the impact, it is necessary for small and medium enterprises (SMEs) to develop contingency plans, based on their reality. This research, by its design is of a causal descriptive type and its objective is to determine, based on the appreciation that those responsible for SMEs in sectors related to agriculture, commerce, industry, services, information, and communication technologies (ICTs) and other technological services, which is their situation in the face of the COVID-19 crisis and measure its affectations degree. In the methodological analysis, a sample of 376 SME’s was used, from a population of 11,670 companies officially registered in the Santa Elena province. Statistical processes of correlational hypothesis tests such as Pearson and Chi-square were applied for a probabilistic trend analysis between explanatory variables logit models and for geospatial references, a multicriteria analysis of raster and vectors throughout the province. The main results are that SME’s have been severely affected by the pandemic in two out of every three companies, with high losses in their income, decreased sales and production capacity, limitations in supply chains, lack of accessibility to tools of telecommuting. In addition, 8 out of 10 companies project that the negative effects of Covid-19 will continue to impact their business in the next 12 to 16 months. And that financial and non-financial supports at the state level have been insufficient or non-existent in some cases. © 2021, Springer Nature Switzerland AG.

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