Pub Date : 2018-10-31DOI: 10.7250/csimq.2018-16.02
Dierk Jugel
Enterprise Architectures consist of a multitude of architecture elements, which relate in manifold ways to each other. Due to the high number of relationships between these elements, architectural analysis mechanisms are essential for all stakeholders to keep track and to work out relevant model characteristics. In practice EAs are often analyzed using visualizations by hand. However, the visualizations are often static and there are only few interaction possibilities. As a result, new visualizations have to be created or configured by experts if information demands change. In addition, hardly any tools are used for analysis of complex model characteristics. In this article we introduce an extended conceptualization of the architecture description that defines the structure of interactive visualizations and the integration of further tools to flexibly respond to the information demands of stakeholders. In addition, we develop a so-called Architecture Cockpit that realizes the extended conceptualization in a prototype. At the end we demonstrate and evaluate our approach through a practical test in a company in the finance and insurance industry.
{"title":"Modeling Interactive Enterprise Architecture Visualizations: An Extended Architecture Description","authors":"Dierk Jugel","doi":"10.7250/csimq.2018-16.02","DOIUrl":"https://doi.org/10.7250/csimq.2018-16.02","url":null,"abstract":"Enterprise Architectures consist of a multitude of architecture elements, which relate in manifold ways to each other. Due to the high number of relationships between these elements, architectural analysis mechanisms are essential for all stakeholders to keep track and to work out relevant model characteristics. In practice EAs are often analyzed using visualizations by hand. However, the visualizations are often static and there are only few interaction possibilities. As a result, new visualizations have to be created or configured by experts if information demands change. In addition, hardly any tools are used for analysis of complex model characteristics. In this article we introduce an extended conceptualization of the architecture description that defines the structure of interactive visualizations and the integration of further tools to flexibly respond to the information demands of stakeholders. In addition, we develop a so-called Architecture Cockpit that realizes the extended conceptualization in a prototype. At the end we demonstrate and evaluate our approach through a practical test in a company in the finance and insurance industry.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115679697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-31DOI: 10.7250/csimq.2018-16.01
Danny Oldenhave, J. Sauren, T. V. D. Weide, S. Hoppenbrouwers
Introducing new technology within an organization requires a change in its employees' ways of working and thinking. Such a change is necessary to increase the adoption of the technology. The main issue is that employees do not sufficiently grow with innovation being promoted. When a change program is initiated, often it focuses on a short-term change, whereas a more sustainable change in behavior is necessary to fully adopt the technology. This article concerns the validation and evaluation of a design method called Persuasive and Motivational Design (PMD). PMD is a design tool aiming to bring about a sustainable behavior changes during the development of Information Systems. It is constructed using existing psychological methods and models. We used a survey amongst first users and the case of a significant application to get both a qualitative and quantitative evaluation of our method. Our conclusion is that PMD is a promising technique. Furthermore, the results of this evaluation indicate some ways to further refine and improve our method.
{"title":"Evaluating the Persuasive and Motivational Design Method: Supporting Design for Sustainable Behavior Change","authors":"Danny Oldenhave, J. Sauren, T. V. D. Weide, S. Hoppenbrouwers","doi":"10.7250/csimq.2018-16.01","DOIUrl":"https://doi.org/10.7250/csimq.2018-16.01","url":null,"abstract":"Introducing new technology within an organization requires a change in its employees' ways of working and thinking. Such a change is necessary to increase the adoption of the technology. The main issue is that employees do not sufficiently grow with innovation being promoted. When a change program is initiated, often it focuses on a short-term change, whereas a more sustainable change in behavior is necessary to fully adopt the technology. This article concerns the validation and evaluation of a design method called Persuasive and Motivational Design (PMD). PMD is a design tool aiming to bring about a sustainable behavior changes during the development of Information Systems. It is constructed using existing psychological methods and models. We used a survey amongst first users and the case of a significant application to get both a qualitative and quantitative evaluation of our method. Our conclusion is that PMD is a promising technique. Furthermore, the results of this evaluation indicate some ways to further refine and improve our method.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123422364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-31DOI: 10.7250/csimq.2018-16.03
I. Bider, P. Johannesson, E. Perjons
Though the concept of shared spaces had been known in Groupware and Computer Supported Cooperative Work (CSCW) for quite a while, it did not become popular until the arrival of the Internet and social software. Implicitly, the concept of shared spaces has penetrated many IT-areas, including the area of Business Process Management. Though shared spaces are used in many systems and tools, like Google Drive and Projectplace, there is a lack of research investigating this usage in a generic way. The article aims to fill this gap by introducing a generic model of a Business Process Support (BPS) system based on shared space that supports the comparison, analysis and design of BPS systems. In addition, the article goes in more details on one design issue – the structuring of shared spaces. This is done by analyzing and comparing two different BPS systems that exploit the concept of shared spaces, though implicitly. These systems use different approaches to shared space structuring. The first one organizes the information by grouping similar types of items without regard to the flow of activities in a business process, while the other organizes the information around groups of activities that are usually completed as a block. Which model to choose in a particular situation depends on the characteristics of the business process and its participants. In order to facilitate this choice, the article offers a number of guidelines derived from the experience of using the two BPS systems in practice. The article also discusses in what circumstances BPS systems with shared spaces are preferable to traditional workflow BPS systems.
{"title":"Structured Shared Spaces as a Basis for Building Business Process Support Systems: A Generic Model and Analysis of Examples","authors":"I. Bider, P. Johannesson, E. Perjons","doi":"10.7250/csimq.2018-16.03","DOIUrl":"https://doi.org/10.7250/csimq.2018-16.03","url":null,"abstract":"Though the concept of shared spaces had been known in Groupware and Computer Supported Cooperative Work (CSCW) for quite a while, it did not become popular until the arrival of the Internet and social software. Implicitly, the concept of shared spaces has penetrated many IT-areas, including the area of Business Process Management. Though shared spaces are used in many systems and tools, like Google Drive and Projectplace, there is a lack of research investigating this usage in a generic way. The article aims to fill this gap by introducing a generic model of a Business Process Support (BPS) system based on shared space that supports the comparison, analysis and design of BPS systems. In addition, the article goes in more details on one design issue – the structuring of shared spaces. This is done by analyzing and comparing two different BPS systems that exploit the concept of shared spaces, though implicitly. These systems use different approaches to shared space structuring. The first one organizes the information by grouping similar types of items without regard to the flow of activities in a business process, while the other organizes the information around groups of activities that are usually completed as a block. Which model to choose in a particular situation depends on the characteristics of the business process and its participants. In order to facilitate this choice, the article offers a number of guidelines derived from the experience of using the two BPS systems in practice. The article also discusses in what circumstances BPS systems with shared spaces are preferable to traditional workflow BPS systems.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129776258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-31DOI: 10.7250/csimq.2018-16.00
P. Forbrig
The 16th issue of CSIMQ presents four articles that cover a wide range of research topics. The topics of this issue start with psychological aspects of sustainable behavior change within organizations while new technologies are introduced into a company. The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. The goal of these algorithms is the identification of different notations of references that refer to the same real-world object. This entity resolution is also called dedublication. Additionally, an approach for modelling enterprise architecture visualizations is discussed. It is used to specify and develop an architecture cockpit for a company from the financial sector. Within the range of topics is also a paper about the concepts of shared spaces as basis for building business process support systems. In the paper, a generic model is suggested that supports the comparison, analysis, and design of business process support systems.
{"title":"Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 16 of CSIMQ","authors":"P. Forbrig","doi":"10.7250/csimq.2018-16.00","DOIUrl":"https://doi.org/10.7250/csimq.2018-16.00","url":null,"abstract":"The 16th issue of CSIMQ presents four articles that cover a wide range of research topics. The topics of this issue start with psychological aspects of sustainable behavior change within organizations while new technologies are introduced into a company. The range of topics ends with the discussion of specific algorithms that allow entity clustering for Big Data analysis. The goal of these algorithms is the identification of different notations of references that refer to the same real-world object. This entity resolution is also called dedublication. Additionally, an approach for modelling enterprise architecture visualizations is discussed. It is used to specify and develop an architecture cockpit for a company from the financial sector. Within the range of topics is also a paper about the concepts of shared spaces as basis for building business process support systems. In the paper, a generic model is suggested that supports the comparison, analysis, and design of business process support systems.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116796206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-31DOI: 10.7250/csimq.2018-16.04
A. Saeedi, Markus Nentwig, E. Peukert, E. Rahm
Entity resolution identifies semantically equivalent entities, e.g. describing the same product or customer. It is especially challenging for Big Data applications where large volumes of data from many sources have to be matched and integrated. We therefore introduce a scalable entity resolution framework called FAMER (FAst Multi-source Entity Resolution system) that is based on Apache Flink for distributed execution and that can holistically match entities from multiple sources. For the latter purpose, FAMER includes multiple clustering schemes that group matching entities from different sources within clusters. In addition to previously known clustering schemes FAMER includes new approaches tailored to multi-source entity resolution. We perform a detailed comparative evaluation of eight clustering schemes for different real-life and synthetically generated datasets. The evaluation considers both the match quality as well as the scalability for different numbers of machines and data sizes.
{"title":"Scalable Matching and Clustering of Entities with FAMER","authors":"A. Saeedi, Markus Nentwig, E. Peukert, E. Rahm","doi":"10.7250/csimq.2018-16.04","DOIUrl":"https://doi.org/10.7250/csimq.2018-16.04","url":null,"abstract":"Entity resolution identifies semantically equivalent entities, e.g. describing the same product or customer. It is especially challenging for Big Data applications where large volumes of data from many sources have to be matched and integrated. We therefore introduce a scalable entity resolution framework called FAMER (FAst Multi-source Entity Resolution system) that is based on Apache Flink for distributed execution and that can holistically match entities from multiple sources. For the latter purpose, FAMER includes multiple clustering schemes that group matching entities from different sources within clusters. In addition to previously known clustering schemes FAMER includes new approaches tailored to multi-source entity resolution. We perform a detailed comparative evaluation of eight clustering schemes for different real-life and synthetically generated datasets. The evaluation considers both the match quality as well as the scalability for different numbers of machines and data sizes.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-31DOI: 10.7250/csimq.2018-15.04
Eva Hoos, Pascal Hirmer, B. Mitschang
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this article, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario. This article is a revised and selected version of the previous work.
{"title":"Automated Creation and Provisioning of Decision Information Packages for the Smart Factory","authors":"Eva Hoos, Pascal Hirmer, B. Mitschang","doi":"10.7250/csimq.2018-15.04","DOIUrl":"https://doi.org/10.7250/csimq.2018-15.04","url":null,"abstract":"In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this article, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario. This article is a revised and selected version of the previous work.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134196030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-31DOI: 10.7250/csimq.2018-15.03
F. Tulinayo, Theo van der Weide, Patrick van Bommel
With the increasing need for data-based decision making, social systems and the ecosystems; practitioners and decision makers need guidance in their decision making, as is offered by data-based models and a systematic generation of simulation tools. Overtly, relations between data and practice have been under-conceptualized. Data modelers and decision makers tend to lack a mutual understanding of each other’s knowledge systems which has led to huge knowledge gaps. Assimilation of modeling methods therefore is vital. Modeling methods use a specific way of thinking, rules and directions on how to model different aspects of systems. These rules and directions are what we refer to as constructs. Conceptualizing model relations and formulations requires significant domain knowledge and understanding of the constructs. In this article, we use the decomposition mechanism to better conceptualize and understand the System Dynamics (SD) model behavior, and show how using a natural language based domain modeling method (Object-Role Modeling, ORM) helps in dealing with complex SD models. Through applying the decomposition mechanism, we are able to better understand the underlying concepts of the stock and flow diagram and update behaviors of ORM objects. To achieve this, we use examples and an SD model derived from a case “Intrapartum process in Ugandan hospitals” to study the object behaviors. The main results of this article include: a theoretical founding of integrating ORM with SD; quantitative analysis at the level of ORM reasoning; and transformation rules from ORM into SD.
{"title":"Decomposition and Conceptualization to Support System Dynamics Behavior Modeling","authors":"F. Tulinayo, Theo van der Weide, Patrick van Bommel","doi":"10.7250/csimq.2018-15.03","DOIUrl":"https://doi.org/10.7250/csimq.2018-15.03","url":null,"abstract":"With the increasing need for data-based decision making, social systems and the ecosystems; practitioners and decision makers need guidance in their decision making, as is offered by data-based models and a systematic generation of simulation tools. Overtly, relations between data and practice have been under-conceptualized. Data modelers and decision makers tend to lack a mutual understanding of each other’s knowledge systems which has led to huge knowledge gaps. Assimilation of modeling methods therefore is vital. Modeling methods use a specific way of thinking, rules and directions on how to model different aspects of systems. These rules and directions are what we refer to as constructs. Conceptualizing model relations and formulations requires significant domain knowledge and understanding of the constructs. In this article, we use the decomposition mechanism to better conceptualize and understand the System Dynamics (SD) model behavior, and show how using a natural language based domain modeling method (Object-Role Modeling, ORM) helps in dealing with complex SD models. Through applying the decomposition mechanism, we are able to better understand the underlying concepts of the stock and flow diagram and update behaviors of ORM objects. To achieve this, we use examples and an SD model derived from a case “Intrapartum process in Ugandan hospitals” to study the object behaviors. The main results of this article include: a theoretical founding of integrating ORM with SD; quantitative analysis at the level of ORM reasoning; and transformation rules from ORM into SD.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115306172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-31DOI: 10.7250/csimq.2018-15.02
A. Jalali
Separation of cross-cutting concerns is an important issue in business process management, where Aspect-Oriented Business Process Modeling (AO-BPM) aims to support this separation through a new form of encapsulation technique. Although different researchers have investigated how these models can be designed to support separation of non-retroactive cross-cutting concerns, there is no study that defines the separation of retroactive ones. The lack of a unified definition of the syntax and the operational semantics for these models hinders their enactment in practice as well. As a result, the perceived usefulness and usability of these approaches have not yet been investigated so far. Thus, this article fills this gap by formalizing an AO-BPM language and the semantics that can support enactment of such models. The semantics is validated through the state-space analysis technique, and the feasibility of the implementation is also demonstrated. The perceived usefulness and easy to use of the AO-BPM is evaluated by applying the Technology Acceptance Model during a workshop session. The result shows that participants perceived the approach usable and easy to use.
{"title":"Weaving of Aspects in Business Process Management","authors":"A. Jalali","doi":"10.7250/csimq.2018-15.02","DOIUrl":"https://doi.org/10.7250/csimq.2018-15.02","url":null,"abstract":"Separation of cross-cutting concerns is an important issue in business process management, where Aspect-Oriented Business Process Modeling (AO-BPM) aims to support this separation through a new form of encapsulation technique. Although different researchers have investigated how these models can be designed to support separation of non-retroactive cross-cutting concerns, there is no study that defines the separation of retroactive ones. The lack of a unified definition of the syntax and the operational semantics for these models hinders their enactment in practice as well. As a result, the perceived usefulness and usability of these approaches have not yet been investigated so far. Thus, this article fills this gap by formalizing an AO-BPM language and the semantics that can support enactment of such models. The semantics is validated through the state-space analysis technique, and the feasibility of the implementation is also demonstrated. The perceived usefulness and easy to use of the AO-BPM is evaluated by applying the Technology Acceptance Model during a workshop session. The result shows that participants perceived the approach usable and easy to use.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-31DOI: 10.7250/csimq.2018-15.05
Jevgeni Marenkov, T. Robal, A. Kalja
The diversity of smartphones and tablet computers has become an integral part of modern life. An essential requirement for web application development is following web usability guidelines, while designing web user interface (UI). Even a minor change in UI could lead to usability problems. Empirical evaluation methods like interviews and questionnaires with user-tests and card sorting are effective in finding such problems. Nevertheless, there are multiple obstacles preventing the application of these methods especially for evaluating minor UI changes, for instance, due to the time and human-resources they require, and the amount of data to be processed. The purpose of this current publication is to present Guideliner – a tool for implementation-time automatic evaluation of web UI conformance to predefined usability guidelines. The main contribution of the presented solution is enabling immediate cost-efficient and automated web UI evaluation that conforms to available and set standards.
{"title":"Design-Time Web Usability Evaluation with Guideliner","authors":"Jevgeni Marenkov, T. Robal, A. Kalja","doi":"10.7250/csimq.2018-15.05","DOIUrl":"https://doi.org/10.7250/csimq.2018-15.05","url":null,"abstract":"The diversity of smartphones and tablet computers has become an integral part of modern life. An essential requirement for web application development is following web usability guidelines, while designing web user interface (UI). Even a minor change in UI could lead to usability problems. Empirical evaluation methods like interviews and questionnaires with user-tests and card sorting are effective in finding such problems. Nevertheless, there are multiple obstacles preventing the application of these methods especially for evaluating minor UI changes, for instance, due to the time and human-resources they require, and the amount of data to be processed. The purpose of this current publication is to present Guideliner – a tool for implementation-time automatic evaluation of web UI conformance to predefined usability guidelines. The main contribution of the presented solution is enabling immediate cost-efficient and automated web UI evaluation that conforms to available and set standards.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117206996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-07-31DOI: 10.7250/csimq.2018-15.00
P. Forbrig
The 15th issue of CSIMQ presents articles discussing management and modeling aspects of informatics research. The provided models and their application help to understand the domains under discussion. The models range from socio-technical models over business process models to models of usable graphical interfaces. Readers might find a lot of interesting aspects in this broad spectrum of management and modeling research. The published articles support management and modeling of complex systems in different ways on different levels of abstraction. The research results reflected in the articles can help to fill knowledge gaps and facilitate decision making in project management, business process management, very complex domain analysis, and data-intensive cyber-physical systems engineering.
{"title":"Selected Topics in Management and Modeling of Complex Systems: Editorial Introduction to Issue 15 of CSIMQ","authors":"P. Forbrig","doi":"10.7250/csimq.2018-15.00","DOIUrl":"https://doi.org/10.7250/csimq.2018-15.00","url":null,"abstract":"The 15th issue of CSIMQ presents articles discussing management and modeling aspects of informatics research. The provided models and their application help to understand the domains under discussion. The models range from socio-technical models over business process models to models of usable graphical interfaces. Readers might find a lot of interesting aspects in this broad spectrum of management and modeling research. The published articles support management and modeling of complex systems in different ways on different levels of abstraction. The research results reflected in the articles can help to fill knowledge gaps and facilitate decision making in project management, business process management, very complex domain analysis, and data-intensive cyber-physical systems engineering.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122345837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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