Business & Information Systems Engineering最新文献_第6页

Execution of Multi-Perspective Declarative Process Models Using Complex Event Processing 使用复杂事件处理执行多角度声明性过程模型

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.52825/bis.v1i.51

Niklas Ruhkamp, Stefan Schönig

{"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":"1 1","pages":"95-104"},"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}

引用次数: 0

A Meta-review of Blockchain Adoption Literature in Supply Chain 供应链中区块链采用文献元综述

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.1007/978-3-031-04216-4_32

F. Sunmola, Patrick R. Burgess, A. Tan

引用次数: 1

Development of the Information Security Management System Standard for Public Sector Organisations in Estonia 爱沙尼亚公共部门组织信息安全管理体系标准的制定

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.52825/bis.v1i.43

M. Seeba, Raimundas Matulevičius, Ilmar Toom

引用次数: 1

Influence of Augmented Reality on Consumer Behaviour in Online Retailing 增强现实技术对网上零售消费者行为的影响

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.1007/978-3-031-04216-4_14

Jan Schmidt, Christopher Reichstein, Ralf-Christian Härting

引用次数: 1

Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects 迈向在数据分析项目中提供总体知识建设的指导方针

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.52825/bis.v1i.56

Dorothea Schneider, Wibke Kusturica

引用次数: 2

IT-Service Value Modeling: A Systematic Literature Analysis it服务价值建模:系统文献分析

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.1007/978-3-031-04216-4_24

Henning D. Richter, Birger Lantow

引用次数: 1

Successful Project Completion During the COVID-19 Pandemic - A Lesson Learnt 2019冠状病毒病大流行期间成功完成项目——一个经验教训

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.1007/978-3-031-04216-4_8

M. Ahmed, Marco Gilardi, Keshav Dahal, D. Finch

引用次数: 0

Investigating the Incorporation of Big Data in Management Information Systems 研究大数据在管理信息系统中的应用

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.1007/978-3-031-04216-4_12

D. Staegemann, Hannes Feuersenger, M. Volk, P. Liedtke, Hans-Knud Arndt, K. Turowski

引用次数: 1

Ontological Modeling of the State Economic Development Policy for Cultural Industries 国家文化产业经济发展政策的本体论建模

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.52825/bis.v1i.63

K. Tkachenko, O. Tkachenko, O. Tkachenko, M. Proskurina, I. Parkhomenko

{"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":"38 1","pages":"127-137"},"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}

引用次数: 0

A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis 利用科学计量分析对数字化转型文献进行范围审查

IF 7.9 3区管理学

Business & Information Systems Engineering Pub Date : 2021-01-01 DOI: 10.52825/bis.v1i.49

Ziboud Van Veldhoven, Vedavyas Etikala, Alexandre Goossens, J. Vanthienen

{"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":"38 1","pages":"281-292"},"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}

引用次数: 3