Pub Date : 2022-01-01DOI: 10.1007/978-3-031-08965-7
{"title":"Enterprise Information Systems: 23rd International Conference, ICEIS 2021, Virtual Event, April 26–28, 2021, Revised Selected Papers","authors":"","doi":"10.1007/978-3-031-08965-7","DOIUrl":"https://doi.org/10.1007/978-3-031-08965-7","url":null,"abstract":"","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50986471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-05DOI: 10.1080/17517575.2021.2008512
Z. Bi, Bin Chen, Lida Xu, Chong Wu, C. Malott, M. Chamberlin, T. Enterline
ABSTRACT Industry 4.0 provides an ideal platform to support a direct interaction of humans and machines in adapting changes and uncertainties in system operations. However, a physical human-machine interaction must assure security and safety. The safety requirements of collaborative manufacturing are explored and the techniques to assure safety in different collaboration modes are investigated to identify the challenges of safety assurance of human–machine collaborations in shared workspaces. In addition, system-level safety requirements of collaborative manufacturing are discussed to reveal the importance of sustaining similar safety levels for all system components and tools in developing an integrated collaborative system.
{"title":"Security and safety assurance of collaborative manufacturing in industry 4.0","authors":"Z. Bi, Bin Chen, Lida Xu, Chong Wu, C. Malott, M. Chamberlin, T. Enterline","doi":"10.1080/17517575.2021.2008512","DOIUrl":"https://doi.org/10.1080/17517575.2021.2008512","url":null,"abstract":"ABSTRACT Industry 4.0 provides an ideal platform to support a direct interaction of humans and machines in adapting changes and uncertainties in system operations. However, a physical human-machine interaction must assure security and safety. The safety requirements of collaborative manufacturing are explored and the techniques to assure safety in different collaboration modes are investigated to identify the challenges of safety assurance of human–machine collaborations in shared workspaces. In addition, system-level safety requirements of collaborative manufacturing are discussed to reveal the importance of sustaining similar safety levels for all system components and tools in developing an integrated collaborative system.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42993969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 10.1080/17517575.2021.2008514
Xiaoting Dai, Jie Zhang, Victor Chang
ABSTRACT We propose an agent-based artificial stock market to investigate the influences of social networks on financial markets. It contains four types of traders whose information sets and trading strategies are different. The application of artificial intelligence is employed in informed and uninformed traders’behaviour and heterogeneity. When information is exogenous, social networks result in higher volatility and trading volume and lower price distortion and bid-ask spread. When information is endogenous, the influences are reversed. The reason is that social networks harm information production after traders tend to rely on information from communication, instead of spending a cost on it..
{"title":"Impacts of social networks in an agent-based artificial stock market","authors":"Xiaoting Dai, Jie Zhang, Victor Chang","doi":"10.1080/17517575.2021.2008514","DOIUrl":"https://doi.org/10.1080/17517575.2021.2008514","url":null,"abstract":"ABSTRACT We propose an agent-based artificial stock market to investigate the influences of social networks on financial markets. It contains four types of traders whose information sets and trading strategies are different. The application of artificial intelligence is employed in informed and uninformed traders’behaviour and heterogeneity. When information is exogenous, social networks result in higher volatility and trading volume and lower price distortion and bid-ask spread. When information is endogenous, the influences are reversed. The reason is that social networks harm information production after traders tend to rely on information from communication, instead of spending a cost on it..","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45322759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-30DOI: 10.1080/17517575.2021.2008515
Sheng Tong, Jie Yang, Haohua Zong
ABSTRACT Complex equipment has the characteristics of diverse feature types, complex internal structures, and timing information coupling. This paper realizes a complex gated recurrent unit (GRU) network that contains monotonicity-Las Vegas wrapper based feature selection and accelerated GRU based RUL prediction. By eliminating useless data and noise data, the input data volume of the prediction model is reduced, and the efficiency and accuracy of the RUL prediction for complex equipment are effectively improved. The experimental results show our method can predict the RUL of complex equipment more efficiently and increase the prediction accuracy of GRU by 18.3%.
{"title":"A prediction model for complex equipment remaining useful life using gated recurrent unit complex networks","authors":"Sheng Tong, Jie Yang, Haohua Zong","doi":"10.1080/17517575.2021.2008515","DOIUrl":"https://doi.org/10.1080/17517575.2021.2008515","url":null,"abstract":"ABSTRACT Complex equipment has the characteristics of diverse feature types, complex internal structures, and timing information coupling. This paper realizes a complex gated recurrent unit (GRU) network that contains monotonicity-Las Vegas wrapper based feature selection and accelerated GRU based RUL prediction. By eliminating useless data and noise data, the input data volume of the prediction model is reduced, and the efficiency and accuracy of the RUL prediction for complex equipment are effectively improved. The experimental results show our method can predict the RUL of complex equipment more efficiently and increase the prediction accuracy of GRU by 18.3%.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49543327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-29DOI: 10.1080/17517575.2021.2005149
Amjad Fayoumi, P. Loucopoulos
ABSTRACT The development of modern intelligent systems poses numerous challenges in their strategic alignment and their effectiveness to a greater extent. Enterprise modelling emerged as a significant paradigm for holistic and systematic enterprise analysis and design. We develop a multi-view approach based on enterprise modelling and simulation that bridges the strategy execution gap between talent acquisition processes and the underlying intelligent information systems design. The approach integrates a set of techniques and tools that are rooted in the conceptual modelling paradigm. We demonstrate the value of the proposed approach in a case study, and then discuss its practical and theoretical implications.
{"title":"Bridging the Strategy Execution Gap of Designing Intelligent Talent Acquisition Systems Using Enterprise Modelling and Simulation","authors":"Amjad Fayoumi, P. Loucopoulos","doi":"10.1080/17517575.2021.2005149","DOIUrl":"https://doi.org/10.1080/17517575.2021.2005149","url":null,"abstract":"ABSTRACT The development of modern intelligent systems poses numerous challenges in their strategic alignment and their effectiveness to a greater extent. Enterprise modelling emerged as a significant paradigm for holistic and systematic enterprise analysis and design. We develop a multi-view approach based on enterprise modelling and simulation that bridges the strategy execution gap between talent acquisition processes and the underlying intelligent information systems design. The approach integrates a set of techniques and tools that are rooted in the conceptual modelling paradigm. We demonstrate the value of the proposed approach in a case study, and then discuss its practical and theoretical implications.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47172602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1080/17517575.2021.1986862
Judith Wewerka, M. Reichert
ABSTRACT Robotic Process Automation (RPA) deals with the automation of rule-based process tasks to increase process efficiency and to reduce process costs. Due to the utmost importance of business process automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of aSystematic Mapping Study (SMS). In this SMS, 63 publications are identified and analysed. From the SMS findings, aframework for systematically analysing, and comparing RPA works is derived. The discovered thematic clusters suggest further investigations to develop amore elaborated structural research approach for RPA.
{"title":"Robotic process automation - a systematic mapping study and classification framework","authors":"Judith Wewerka, M. Reichert","doi":"10.1080/17517575.2021.1986862","DOIUrl":"https://doi.org/10.1080/17517575.2021.1986862","url":null,"abstract":"ABSTRACT Robotic Process Automation (RPA) deals with the automation of rule-based process tasks to increase process efficiency and to reduce process costs. Due to the utmost importance of business process automation in industry, RPA attracts increasing attention in the scientific field as well. This paper presents the state-of-the-art in the RPA field by means of aSystematic Mapping Study (SMS). In this SMS, 63 publications are identified and analysed. From the SMS findings, aframework for systematically analysing, and comparing RPA works is derived. The discovered thematic clusters suggest further investigations to develop amore elaborated structural research approach for RPA.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43549755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-09DOI: 10.1080/17517575.2021.1971773
A. Mollajan, S. Iranmanesh, R. Tavakkoli-Moghaddam
ABSTRACT To achieve a good architecture for information flow in a contract capable of withstanding environmental disruptive events, the present study employs systems engineering approaches and proposes a reliable design for the architecture by modularising the concerned architecture. The study argues that the ‘modularisation’ can avoid propagation of damage(s) from one component to another. The authors present a methodology for designing a reliable architecture for information flow in a contract by utilizing design structure matrix (DSM) methodology and axiomatic design theory (ADT). Results from the application of the method showed that modularisation was increased and the overall reliability was significantly enhanced
{"title":"A systems approach to improve reliability of a contract by Modularising contract’s information flow architecture: a new contribution to risk mitigation in projects management","authors":"A. Mollajan, S. Iranmanesh, R. Tavakkoli-Moghaddam","doi":"10.1080/17517575.2021.1971773","DOIUrl":"https://doi.org/10.1080/17517575.2021.1971773","url":null,"abstract":"ABSTRACT To achieve a good architecture for information flow in a contract capable of withstanding environmental disruptive events, the present study employs systems engineering approaches and proposes a reliable design for the architecture by modularising the concerned architecture. The study argues that the ‘modularisation’ can avoid propagation of damage(s) from one component to another. The authors present a methodology for designing a reliable architecture for information flow in a contract by utilizing design structure matrix (DSM) methodology and axiomatic design theory (ADT). Results from the application of the method showed that modularisation was increased and the overall reliability was significantly enhanced","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43501905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-08DOI: 10.1080/17517575.2021.1998641
C. K. H. Lee, K. Wu
ABSTRACT The COVID-19 pandemic has hastened the adoption of autonomous vehicles (AVs) to minimise human-to-human contact. Yet, prior investigations suggest that AVs are accident-prone when they behave differently from humans. It is necessary to design an autonomous vehicle system (AVS) that can take human behaviour into account. This study capitalises on the wealth of data from traffic accidents caused by humans and discovers association rules to improve AVSs. Findings show that fatal accidents likely co-occur with “right near”, “head on” or “lane side swipe” scenarios. They provide important implications for designing traffic scenarios that are critical for training an AVS.
{"title":"Making autonomous vehicle systems human-like: lessons learned from accident experiences in traffic","authors":"C. K. H. Lee, K. Wu","doi":"10.1080/17517575.2021.1998641","DOIUrl":"https://doi.org/10.1080/17517575.2021.1998641","url":null,"abstract":"ABSTRACT The COVID-19 pandemic has hastened the adoption of autonomous vehicles (AVs) to minimise human-to-human contact. Yet, prior investigations suggest that AVs are accident-prone when they behave differently from humans. It is necessary to design an autonomous vehicle system (AVS) that can take human behaviour into account. This study capitalises on the wealth of data from traffic accidents caused by humans and discovers association rules to improve AVSs. Findings show that fatal accidents likely co-occur with “right near”, “head on” or “lane side swipe” scenarios. They provide important implications for designing traffic scenarios that are critical for training an AVS.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49197398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-27DOI: 10.1080/17517575.2021.1995783
Praveen Ranjan Srivastava, Z. Zhang, Prajwal Eachempati
ABSTRACT The paper undertakes a bibliometric study to analyse and identify emerging themes for future research in blockchain technology, focusing on agriculture and supply chain management domains. A sample of 1322 articles from Web of Science for 2015–2020 is the basis of the study. The publications are grouped into five clusters, of which Cluster 1 is consistently dominant in the Information Systems publication landscape. Clusters 2, 3, and 4 are evolving, and topics with scant coverage are primarily in Cluster 5, indicating saturation in the area of interdisciplinary studies. The results provide valuable insights for potential contributors and global audiences.
{"title":"Blockchain technology and its applications in agriculture and supply chain management: a retrospective overview and analysis","authors":"Praveen Ranjan Srivastava, Z. Zhang, Prajwal Eachempati","doi":"10.1080/17517575.2021.1995783","DOIUrl":"https://doi.org/10.1080/17517575.2021.1995783","url":null,"abstract":"ABSTRACT The paper undertakes a bibliometric study to analyse and identify emerging themes for future research in blockchain technology, focusing on agriculture and supply chain management domains. A sample of 1322 articles from Web of Science for 2015–2020 is the basis of the study. The publications are grouped into five clusters, of which Cluster 1 is consistently dominant in the Information Systems publication landscape. Clusters 2, 3, and 4 are evolving, and topics with scant coverage are primarily in Cluster 5, indicating saturation in the area of interdisciplinary studies. The results provide valuable insights for potential contributors and global audiences.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49187073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT Aiming at high computation time in the process of cloud virtual machine anomaly detection, a C-t-SNE algorithm suitable for cloud is proposed. The algorithm classifies the virtual machines according to the different tasks, constructs the projection space according to the relevant parameters of the cloud virtual machines. Before dimensionality reduction, comparison datasets are extracted from each cloud virtual machine according to the relationship between the cloud virtual machine and the task. In the process of dimensionality reduction, all cloud virtual machines are replaced by comparison datasets, so as to reduce the number of data comparison and the calculation time.
{"title":"Improved t-SNE in Anomaly Detection of Cloud Virtual Machine","authors":"Fu Zhuang, Guoyuan Lin, Huanye He, Yifan Zhang, Yonggang Li, Hao Gu","doi":"10.1080/17517575.2021.1995784","DOIUrl":"https://doi.org/10.1080/17517575.2021.1995784","url":null,"abstract":"ABSTRACT Aiming at high computation time in the process of cloud virtual machine anomaly detection, a C-t-SNE algorithm suitable for cloud is proposed. The algorithm classifies the virtual machines according to the different tasks, constructs the projection space according to the relevant parameters of the cloud virtual machines. Before dimensionality reduction, comparison datasets are extracted from each cloud virtual machine according to the relationship between the cloud virtual machine and the task. In the process of dimensionality reduction, all cloud virtual machines are replaced by comparison datasets, so as to reduce the number of data comparison and the calculation time.","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49504004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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