How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy

The open data (OD) performance expectancy is a critical factor for the user technology acceptance models for future implementation OD in Industry 4.0, and to have an impact in area of Society 5.0. The purpose of this article is identifying trends and key words (leading terms) in promoting ODs for th...

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Main Authors: Anna Sołtysik-Piorunkiewicz, Iwona Zdonek
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/2/917
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spelling doaj-30866d9b8b5c4f4da5430576750174872021-01-19T00:02:11ZengMDPI AGSustainability2071-10502021-01-011391791710.3390/su13020917How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance ExpectancyAnna Sołtysik-Piorunkiewicz0Iwona Zdonek1Department of Informatics, College of Informatics and Communication, University of Economics in Katowice, 1 Maja Str. 50, 40-287 Katowice, PolandDepartment of Organization and Management, Institute of Economy and Informatics, Silesian University of Technology, Akademicka Str. 2A, 44-100 Gliwice, PolandThe open data (OD) performance expectancy is a critical factor for the user technology acceptance models for future implementation OD in Industry 4.0, and to have an impact in area of Society 5.0. The purpose of this article is identifying trends and key words (leading terms) in promoting ODs for their use in Industry 4.0 and Society 5.0. We are also looking for leaders in Europe in promoting the use of OD in the context of Industry 4.0 and Society 5.0. The research methodology includes methods such as: analyses based on text mining, visualization techniques, and multidimensional cluster analyses with correlation analyses. The dataset covered 288 digital products and services based on OD. The timeframe covers the period January 2018–January 2020, and the research focuses on European issues. The research is focused on texts promoting the digital OD products and services, with the most popular being applications, websites and platforms. The main direction in presenting the benefits of their use is related to promoting them as tools to provide real time information on public issues, primarily in areas such as transport, education, culture and sport, economics and finance and health. The main types of OD are geodata and those specified as national and local. Additionally, the geographical area in Europe-dominating countries, and the key terms promoting product and services in context of OD performance expectancy in Western Europe, Northern Europe, Southern Europe and Eastern Europe, were found.https://www.mdpi.com/2071-1050/13/2/917open data performance expectancySociety 5.0Industry 4.0text miningcluster analysisvisualization
collection DOAJ
language English
format Article
sources DOAJ
author Anna Sołtysik-Piorunkiewicz
Iwona Zdonek
spellingShingle Anna Sołtysik-Piorunkiewicz
Iwona Zdonek
How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
Sustainability
open data performance expectancy
Society 5.0
Industry 4.0
text mining
cluster analysis
visualization
author_facet Anna Sołtysik-Piorunkiewicz
Iwona Zdonek
author_sort Anna Sołtysik-Piorunkiewicz
title How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
title_short How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
title_full How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
title_fullStr How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
title_full_unstemmed How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy
title_sort how society 5.0 and industry 4.0 ideas shape the open data performance expectancy
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-01-01
description The open data (OD) performance expectancy is a critical factor for the user technology acceptance models for future implementation OD in Industry 4.0, and to have an impact in area of Society 5.0. The purpose of this article is identifying trends and key words (leading terms) in promoting ODs for their use in Industry 4.0 and Society 5.0. We are also looking for leaders in Europe in promoting the use of OD in the context of Industry 4.0 and Society 5.0. The research methodology includes methods such as: analyses based on text mining, visualization techniques, and multidimensional cluster analyses with correlation analyses. The dataset covered 288 digital products and services based on OD. The timeframe covers the period January 2018–January 2020, and the research focuses on European issues. The research is focused on texts promoting the digital OD products and services, with the most popular being applications, websites and platforms. The main direction in presenting the benefits of their use is related to promoting them as tools to provide real time information on public issues, primarily in areas such as transport, education, culture and sport, economics and finance and health. The main types of OD are geodata and those specified as national and local. Additionally, the geographical area in Europe-dominating countries, and the key terms promoting product and services in context of OD performance expectancy in Western Europe, Northern Europe, Southern Europe and Eastern Europe, were found.
topic open data performance expectancy
Society 5.0
Industry 4.0
text mining
cluster analysis
visualization
url https://www.mdpi.com/2071-1050/13/2/917
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