The Internet of Things (IoT) enables continuous monitoring of phenomena based on sensing devices as well as analytics opportunities in smart environments. Complex Event Processing (CEP) comprises a set of techniques for making sense of the behavior of a monitored system by deriving higher level knowledge from lower level system events. Business Process Management (BPM) attempts to model processes and ensures that executed processes con-form with a predefined sequence. In IoT scenarios frequently a large number of events has to be analyzed in real-time to allow an instant response. While BPM reaches its limits in such situ-ations, CEP is able to analyze and process high volume streams of data in real-time. The evaluation and execution of rules and models of both paradigms are currently based on separate formalisms and are frequently implemented in heterogeneous systems. The presented paper integrates both domains by proposing an execution approach for multi-perspective declarative process process models completely based on CEP. The efficiency of the combined paradigms is validated in an implemented demonstration with simulated and real-life sensor data.
{"title":"Execution of Multi-Perspective Declarative Process Models Using Complex Event Processing","authors":"Niklas Ruhkamp, Stefan Schönig","doi":"10.52825/bis.v1i.51","DOIUrl":"https://doi.org/10.52825/bis.v1i.51","url":null,"abstract":"The Internet of Things (IoT) enables continuous monitoring of phenomena based on sensing devices as well as analytics opportunities in smart environments. Complex Event Processing (CEP) comprises a set of techniques for making sense of the behavior of a monitored system by deriving higher level knowledge from lower level system events. Business Process Management (BPM) attempts to model processes and ensures that executed processes con-form with a predefined sequence. In IoT scenarios frequently a large number of events has to be analyzed in real-time to allow an instant response. While BPM reaches its limits in such situ-ations, CEP is able to analyze and process high volume streams of data in real-time. The evaluation and execution of rules and models of both paradigms are currently based on separate formalisms and are frequently implemented in heterogeneous systems. The presented paper integrates both domains by proposing an execution approach for multi-perspective declarative process process models completely based on CEP. The efficiency of the combined paradigms is validated in an implemented demonstration with simulated and real-life sensor data.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82677435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"24th International Conference on Business Information Systems Preface","authors":"W. Abramowicz, S. Auer","doi":"10.52825/bis.v1i.70","DOIUrl":"https://doi.org/10.52825/bis.v1i.70","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90239091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lutfan Lazuardi, Guardian Yoki Sanjaya, P. B. Ali, Renova Glorya Montesori Siahaan, Lia Achmad, H. Wulandari
: Introduction : Maternal and child health (MCH) is a global priority as health care innovation continues to evolve, including the use of information and communication technology. Studies showed that interoperable information systems can improve the quality of health services and at the same time facilitate the integration of data for the purpose of monitoring and evaluating the performance of health services, especially MCH. Aims : This study aims to identify various maternal and child health information systems used in Indonesia and opportunity of interoperability between systems to support continuum of care services. Methodology: Qualitative descriptive research was conducted in Yogyakarta Province from November to December 2020. This study assessed MCH applications that have been used in public and private primary health care, hospitals, health offices and in the community by identifying their functions and mapped data elements used by each application to assess potential interoperability between systems. The online focus group discussions with various application providers was conducted to explore the challenges of interoperability between digital systems. Results and Discussion : There were 18 maternal and child health information systems have been developed by the government (central and local), health facilities and private sector. The initiation of interoperability between systems has not yet occurred, except to support regular reporting at the health office and Ministry of Health level. Interoperability between information systems required efforts to improve information technology facilities and infrastructure, development of health data standards, strengthening governance and regulation and utilization of data as an effort to monitor, evaluation and continuity of interoperability between systems to support the digitalization of services and routine reporting. Conclusions and Recommendations : Digitalization of MCH services in Indonesia has the opportunity to support the continuum of care through an interoperable system. However, several enabler factors need to be prepared to support interoperability between information systems.
{"title":"Interoperability of Health Digitalization Case Study on Use of Information Technology for Maternal and Child Health Services in Indonesia","authors":"Lutfan Lazuardi, Guardian Yoki Sanjaya, P. B. Ali, Renova Glorya Montesori Siahaan, Lia Achmad, H. Wulandari","doi":"10.52825/bis.v1i.53","DOIUrl":"https://doi.org/10.52825/bis.v1i.53","url":null,"abstract":": Introduction : Maternal and child health (MCH) is a global priority as health care innovation continues to evolve, including the use of information and communication technology. Studies showed that interoperable information systems can improve the quality of health services and at the same time facilitate the integration of data for the purpose of monitoring and evaluating the performance of health services, especially MCH. Aims : This study aims to identify various maternal and child health information systems used in Indonesia and opportunity of interoperability between systems to support continuum of care services. Methodology: Qualitative descriptive research was conducted in Yogyakarta Province from November to December 2020. This study assessed MCH applications that have been used in public and private primary health care, hospitals, health offices and in the community by identifying their functions and mapped data elements used by each application to assess potential interoperability between systems. The online focus group discussions with various application providers was conducted to explore the challenges of interoperability between digital systems. Results and Discussion : There were 18 maternal and child health information systems have been developed by the government (central and local), health facilities and private sector. The initiation of interoperability between systems has not yet occurred, except to support regular reporting at the health office and Ministry of Health level. Interoperability between information systems required efforts to improve information technology facilities and infrastructure, development of health data standards, strengthening governance and regulation and utilization of data as an effort to monitor, evaluation and continuity of interoperability between systems to support the digitalization of services and routine reporting. Conclusions and Recommendations : Digitalization of MCH services in Indonesia has the opportunity to support the continuum of care through an interoperable system. However, several enabler factors need to be prepared to support interoperability between information systems.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86535532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Flotyński, P. Sobocinski, Sergiusz Strykowski, Dominik Strugala, P. Buń, F. Górski, K. Walczak
Domain-specific knowledge representation is an essential element of efficient management of professional training. Formal and powerful knowledge representation for training systems can be built upon the semantic web standards, which enable reasoning and complex queries against the content. Virtual reality training is currently used in multiple domains, in particular, if the activities are potentially dangerous for the trainees or require advanced skills or expensive equipment. However, the available methods and tools for creating VR training systems do not use knowledge representation. Therefore, creation, modification and management of training scenarios is problematic for domain experts without expertise in programming and computer graphics. In this paper, we propose an approach to creating semantic virtual training scenarios, in which users’ activities, mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We have verified the approach by developing a user-friendly editor of VR training scenarios for electrical operators of high-voltage installations.
{"title":"Semantic Representation of Domain Knowledge for Professional VR Training","authors":"J. Flotyński, P. Sobocinski, Sergiusz Strykowski, Dominik Strugala, P. Buń, F. Górski, K. Walczak","doi":"10.52825/bis.v1i.64","DOIUrl":"https://doi.org/10.52825/bis.v1i.64","url":null,"abstract":"Domain-specific knowledge representation is an essential element of efficient management of professional training. Formal and powerful knowledge representation for training systems can be built upon the semantic web standards, which enable reasoning and complex queries against the content. Virtual reality training is currently used in multiple domains, in particular, if the activities are potentially dangerous for the trainees or require advanced skills or expensive equipment. However, the available methods and tools for creating VR training systems do not use knowledge representation. Therefore, creation, modification and management of training scenarios is problematic for domain experts without expertise in programming and computer graphics. In this paper, we propose an approach to creating semantic virtual training scenarios, in which users’ activities, mistakes as well as equipment and its possible errors are represented using domain knowledge understandable to domain experts. We have verified the approach by developing a user-friendly editor of VR training scenarios for electrical operators of high-voltage installations.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88954629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Tkachenko, O. Tkachenko, O. Tkachenko, M. Proskurina, I. Parkhomenko
The article discusses an ontological approach to solving the problem of forming state policy of economic development of cultural and creative industries and the corresponding intellectual-information management systems. The purpose of this article is to develop an effective toolkit (based on ontologies) for making optimal decisions in the field of state regulation of the cultural and creative industries, taking into account the dynamic factors of the external environment. The ontological approach considered in the article assumes the presence of three levels of models: meta-ontology, models of subject areas of cultural and creative industries and models of making appropriate management decisions on the formation of economic development policy of cultural and creative industries. The novelty of the proposed approach lies in the purposeful nature of ontological modeling of such complex system as the state policy of economic development of cultural and creative industries. The system under consideration has certain goals, tasks, resources, processes, factors of influence, risks and other characteristics. These characteristics include, in particular, the structure of the model, the ability to highlight the essential objects of real relations of the considered subject areas, the ability to represent knowledge for the joint work of specialists in computer modeling, the processing of expert knowledge and the generation of management decisions within the framework of the corresponding intellectual-information systems.
{"title":"Ontological Modeling of the State Economic Development Policy for Cultural Industries","authors":"K. Tkachenko, O. Tkachenko, O. Tkachenko, M. Proskurina, I. Parkhomenko","doi":"10.52825/bis.v1i.63","DOIUrl":"https://doi.org/10.52825/bis.v1i.63","url":null,"abstract":"The article discusses an ontological approach to solving the problem of forming state policy of economic development of cultural and creative industries and the corresponding intellectual-information management systems. The purpose of this article is to develop an effective toolkit (based on ontologies) for making optimal decisions in the field of state regulation of the cultural and creative industries, taking into account the dynamic factors of the external environment. The ontological approach considered in the article assumes the presence of three levels of models: meta-ontology, models of subject areas of cultural and creative industries and models of making appropriate management decisions on the formation of economic development policy of cultural and creative industries. The novelty of the proposed approach lies in the purposeful nature of ontological modeling of such complex system as the state policy of economic development of cultural and creative industries. The system under consideration has certain goals, tasks, resources, processes, factors of influence, risks and other characteristics. These characteristics include, in particular, the structure of the model, the ability to highlight the essential objects of real relations of the considered subject areas, the ability to represent knowledge for the joint work of specialists in computer modeling, the processing of expert knowledge and the generation of management decisions within the framework of the corresponding intellectual-information systems.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87173887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ziboud Van Veldhoven, Vedavyas Etikala, Alexandre Goossens, J. Vanthienen
Digital transformation is the rapidly expanding research field dealing with the increased impact of digital technologies on both business and society. Due to the large number of papers and the semantic ambiguity surrounding the terminology, covering such a broad topic is difficult. To help researchers gain a better understanding of the knowledge structure of the research field, we conduct a scoping review using scientometrics. We searched for publications dealing with digital transformation on both Scopus and Web of Science. We downloaded their bibliometric data and thoroughly merged and cleaned it using lemmatization and stemmatization. This dataset was analyzed using VOSviewer to create co-author networks and co-word occurrence graphs of the titles, abstracts, and keywords. We also visualized the growth of the research field and retrieved the top conferences and journals based on the number of papers and the number of citations. K-means clustering was performed on the abstracts and keywords to find similar research focuses. These findings highlight the broad scope of the research field, the ambiguity of the terminology, the lack of collaboration, and the absence of research into the impact of digital transformation on society. Moving forward, more research needs to be done to establish the boundaries of digital transformation and to investigate the importance of society in this phenomenon.
数字化转型是一个快速发展的研究领域，涉及数字技术对商业和社会的日益增长的影响。由于大量的论文和围绕术语的语义歧义，覆盖如此广泛的主题是困难的。为了帮助研究人员更好地了解研究领域的知识结构，我们使用科学计量学进行了范围评估。我们在Scopus和Web of Science上搜索了有关数字化转型的出版物。我们下载了他们的文献计量学数据，并使用词源化和词源化进行了彻底的合并和整理。使用VOSviewer对该数据集进行分析，以创建标题、摘要和关键词的合著者网络和共词出现图。我们还可视化了研究领域的增长，并根据论文数量和引用次数检索了顶级会议和期刊。对摘要和关键词进行K-means聚类，寻找相似的研究重点。这些发现突出了研究领域的广泛范围、术语的模糊性、缺乏合作以及缺乏对数字化转型对社会影响的研究。展望未来，需要做更多的研究来建立数字化转型的边界，并调查社会在这一现象中的重要性。
{"title":"A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis","authors":"Ziboud Van Veldhoven, Vedavyas Etikala, Alexandre Goossens, J. Vanthienen","doi":"10.52825/bis.v1i.49","DOIUrl":"https://doi.org/10.52825/bis.v1i.49","url":null,"abstract":"Digital transformation is the rapidly expanding research field dealing with the increased impact of digital technologies on both business and society. Due to the large number of papers and the semantic ambiguity surrounding the terminology, covering such a broad topic is difficult. To help researchers gain a better understanding of the knowledge structure of the research field, we conduct a scoping review using scientometrics. We searched for publications dealing with digital transformation on both Scopus and Web of Science. We downloaded their bibliometric data and thoroughly merged and cleaned it using lemmatization and stemmatization. This dataset was analyzed using VOSviewer to create co-author networks and co-word occurrence graphs of the titles, abstracts, and keywords. We also visualized the growth of the research field and retrieved the top conferences and journals based on the number of papers and the number of citations. K-means clustering was performed on the abstracts and keywords to find similar research focuses. These findings highlight the broad scope of the research field, the ambiguity of the terminology, the lack of collaboration, and the absence of research into the impact of digital transformation on society. Moving forward, more research needs to be done to establish the boundaries of digital transformation and to investigate the importance of society in this phenomenon.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85093728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_12
D. Staegemann, Hannes Feuersenger, M. Volk, P. Liedtke, Hans-Knud Arndt, K. Turowski
{"title":"Investigating the Incorporation of Big Data in Management Information Systems","authors":"D. Staegemann, Hannes Feuersenger, M. Volk, P. Liedtke, Hans-Knud Arndt, K. Turowski","doi":"10.1007/978-3-031-04216-4_12","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_12","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84070318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tight and competitive market situations pose a serious challenge to enterprises in the manufacturing industry domain. Competing in the use of data analytics to enhance products and processes requires additional resources to deal with the complexity. On the contrary, the possibilities afforded by digitization and data analysis-based approaches make for a valuable asset. In this paper we suggest a guideline to a systematic course of action for the data-based creation of holistic insight. Building an overlaying corpus of knowledge accelerates the learning curve within specific projects as well as across projects by exceeding the project-specific view towards an integrated approach.
{"title":"Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects","authors":"Dorothea Schneider, Wibke Kusturica","doi":"10.52825/bis.v1i.56","DOIUrl":"https://doi.org/10.52825/bis.v1i.56","url":null,"abstract":"Tight and competitive market situations pose a serious challenge to enterprises in the manufacturing industry domain. Competing in the use of data analytics to enhance products and processes requires additional resources to deal with the complexity. On the contrary, the possibilities afforded by digitization and data analysis-based approaches make for a valuable asset. In this paper we suggest a guideline to a systematic course of action for the data-based creation of holistic insight. Building an overlaying corpus of knowledge accelerates the learning curve within specific projects as well as across projects by exceeding the project-specific view towards an integrated approach.","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88143548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_24
Henning D. Richter, Birger Lantow
{"title":"IT-Service Value Modeling: A Systematic Literature Analysis","authors":"Henning D. Richter, Birger Lantow","doi":"10.1007/978-3-031-04216-4_24","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_24","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88157296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1007/978-3-031-04216-4_8
M. Ahmed, Marco Gilardi, Keshav Dahal, D. Finch
{"title":"Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt","authors":"M. Ahmed, Marco Gilardi, Keshav Dahal, D. Finch","doi":"10.1007/978-3-031-04216-4_8","DOIUrl":"https://doi.org/10.1007/978-3-031-04216-4_8","url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":null,"pages":null},"PeriodicalIF":7.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84887635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：