The New Role of Cloud Technologies in Management Information Systems Implementation Methodology

Morawiec, Patryk; Sołtysik-Piorunkiewicz, Anna

doi:10.1007/978-3-030-63092-8_29

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Big data analytics showed the additional impact of Industry 4.0 [69]. The cloud computing technologies show the impact on the process of the implementation of the management information system in Industry 4.0 as well [70]. The cyber-physical infrastructure of Industry 4.0 is one of the crucial topics of research interest [71,72], especially intelligent transportation, smart manufacturing, regional care, smart food-chain [64,[73][74][75] and care-giving and medical treatment [64].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Robotics [51,55] Equal opportunities for all people, integration of innovative technologies and society [51] Human-centered society [51,64,75] Imagination and creativity of people [51,56] Information, information platforms [46] Internet of things [55] Innovation as a driving force for new business and services [51] Open innovation [52] Regulatory of laws towards implementation of new technologies [56] "Society of imagination" [55] Sustainable Development: Sustainable Development Goals (SDGs), Dimensions of Sustainability [51-53] Super smart society [51,54] Actuators [62,63] Automated Guided Vehicles [65] Adaptive robotics [66,67] Additive manufacturing [68] Big Data analytics [69] Cloud technologies [65,70] Cyber Industry Network [57] Cyber-physical infrastructure embedded systems [71,72] Cybersecurity [76,77] Digital factory [80] Hybrid production [65] Industrial internet-communication and networking [65] Internet of things [81] Mobile technologies [80] Radio-frequency identification (RFID) and Real-time locating system (RTLS) technologies [58] Sensors [63,64] Simulations [59] Smart factory [65,78], SmartFactory…”

Section: Literature Reviewmentioning

confidence: 99%

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

Sołtysik-Piorunkiewicz

Zdonek

2021

Sustainability

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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.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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

Sołtysik-Piorunkiewicz

Zdonek

2021

Sustainability

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Cloud Based Business Process Modeling Environment – The Systematic Literature Review

Sołtysik-Piorunkiewicz

Morawiec

2021

Recent Challenges in Intelligent Information and Database Systems

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Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology

Morawiec

Sołtysik-Piorunkiewicz

2022

Sustainability

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The aim of the paper is to present the new factors of ERP (Enterprise Resource Planning system) implementation related to the usage of cloud-based and blockchain information technology and to discover potential possibilities of using cloud computing, big data, and blockchain technologies in the methodology of ERP implementation. The article covers the characteristics of the current implementation methodologies and also discusses how these technologies can be adopted in the implementation process. During the study, a literature review was carried out and survey-based interviews with project managers were performed. Previous studies examined in the literature review have some limitations. Most of them are focused on ERP performance in the cloud or measure success factors of ERP implementation. A research gap exists regarding the impact of technologies in the implementation process and the results of this process. The research shed some light on cloud computing and blockchain in ERP implementation. The conclusions are as follows: (1) Some methods of sustainable methods of ERP implementation with the use of cloud technologies, blockchain, and big data have been examined in research studies, but there is still a lack of publications with in-depth analyses of the impact of blockchain on ERP implementation success. (2) The practitioners recommended the new technologies based on cloud computing and big data in the process of ERP implementation, and more knowledge about blockchain would have a positive impact on the success of sustainable ERP implementation as well as on the willingness to adopt the new technologies.

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The New Role of Cloud Technologies in Management Information Systems Implementation Methodology

Cited by 4 publications

References 8 publications

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

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

Cloud Based Business Process Modeling Environment – The Systematic Literature Review

Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology

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