Pub Date : 2020-07-31DOI: 10.7250/csimq.2020-23.02
Tomasz Granosik, Elzbieta Lewanska
County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.
{"title":"Automatic Detection of County Lines Criminal Scheme","authors":"Tomasz Granosik, Elzbieta Lewanska","doi":"10.7250/csimq.2020-23.02","DOIUrl":"https://doi.org/10.7250/csimq.2020-23.02","url":null,"abstract":"County lines are a new type of criminal activity in the UK in which young people are being forced to participate in drug dealing. This article presents an application of an unsupervised machine learning technique to detect such cases among a bank’s clients, using financial and spatial data. It proposes and presents a system for detecting county lines crime schemes and uses the example of integrating spatial analysis into financial crime detection. The initial results will be a base for further research.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123859773","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 : 2020-07-31DOI: 10.7250/csimq.2020-23.04
Tekin Evrim Ozmermer
If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinusoidal Neural Networks (SNNs). The motivation to develop SNNs is to design an artificial neural network (ANN) algorithm that can learn faster. A short review of the history of biological neurons helps to identify components that should be redesigned in ANNs. After the components are identified, a new neural network algorithm called SNN is proposed. Experiments are conducted to show the practical results of the algorithm. According to the experiments, the proposed neural network can reach high accuracy rates faster than the standard neural networks, while an interesting generalization capacity is obtained for the developed algorithm. Even though the promising results are achieved, further research is necessary to test if SNNs are capable of learning faster than existing algorithms in real-life cases.
{"title":"Sinusoidal Neural Networks: Towards ANN that Learns Faster","authors":"Tekin Evrim Ozmermer","doi":"10.7250/csimq.2020-23.04","DOIUrl":"https://doi.org/10.7250/csimq.2020-23.04","url":null,"abstract":"If everything is a signal and combination of signals, everything can be represented with Fourier representations. Then, is it possible to represent a signal with a conditional dependency to input data? This research is devoted to the development of Sinusoidal Neural Networks (SNNs). The motivation to develop SNNs is to design an artificial neural network (ANN) algorithm that can learn faster. A short review of the history of biological neurons helps to identify components that should be redesigned in ANNs. After the components are identified, a new neural network algorithm called SNN is proposed. Experiments are conducted to show the practical results of the algorithm. According to the experiments, the proposed neural network can reach high accuracy rates faster than the standard neural networks, while an interesting generalization capacity is obtained for the developed algorithm. Even though the promising results are achieved, further research is necessary to test if SNNs are capable of learning faster than existing algorithms in real-life cases.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124189091","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 : 2020-07-31DOI: 10.7250/csimq.2020-23.01
M. Nakayama, Öykü Isik, N. Sutcliffe, S. Olbrich
Business intelligence (BI) has attracted considerable attention in recent years. Despite the hype, BI frequently suffers from broad definitions, unrealistic expectations, and the incongruities of IT needs between headquarters and local business units. We report the findings of a case study at a large international manufacturing firm headquartered in the EU. The firm wants to transform itself from a conservative firm with traditional values to a more entrepreneurial and nimble organization with its supply chains driven by Industry 4.0 and the Internet of Things (IoT). The firm is going through its transformation, focusing on the BI system. Our observations suggest that firms consider BI to be the enabler of change management rather than simply technical tools that extend the traditional systems environment.
{"title":"Grassroots Business Intelligence as an Enabler of Change Management: A Case Study at a Large Global Manufacturing Firm","authors":"M. Nakayama, Öykü Isik, N. Sutcliffe, S. Olbrich","doi":"10.7250/csimq.2020-23.01","DOIUrl":"https://doi.org/10.7250/csimq.2020-23.01","url":null,"abstract":"Business intelligence (BI) has attracted considerable attention in recent years. Despite the hype, BI frequently suffers from broad definitions, unrealistic expectations, and the incongruities of IT needs between headquarters and local business units. We report the findings of a case study at a large international manufacturing firm headquartered in the EU. The firm wants to transform itself from a conservative firm with traditional values to a more entrepreneurial and nimble organization with its supply chains driven by Industry 4.0 and the Internet of Things (IoT). The firm is going through its transformation, focusing on the BI system. Our observations suggest that firms consider BI to be the enabler of change management rather than simply technical tools that extend the traditional systems environment.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126132963","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 : 2020-07-31DOI: 10.7250/csimq.2020-23.05
D. Staegemann, M. Volk, Christopher Daase, K. Turowski
Big data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern technologies in a multitude of application scenarios. As a result, big data has gained an important role for many businesses. However, as of today, the developed solutions are oftentimes perceived as completed products, without considering that the application in highly dynamic environments might benefit from a deviation of this approach. Relevant data sources as well as the questions that are supposed to be answered by their analysis may change rapidly and so do subsequently the requirements regarding the functionalities of the system. To our knowledge, while big data itself is a prominent topic, fields of application that are likely to evolve in a short period of time and the resulting consequences were not specifically investigated until now. Therefore, this research aims to overcome this paucity by clarifying the relation between dynamic business environments and big data analytics (BDA), sensitizing researchers and practitioners for future big data engineering activities. Apart from a thorough literature review, expert interviews are conducted that evaluate the made inferences regarding dynamic and stable influencing factors, the influence of dynamic environments on BDA applications as well as possible countermeasures. The ascertained insights are condensed into a proposal for decision making, facilitating the alignment of BDA and business needs in dynamic business environments.
{"title":"Discussing Relations Between Dynamic Business Environments and Big Data Analytics","authors":"D. Staegemann, M. Volk, Christopher Daase, K. Turowski","doi":"10.7250/csimq.2020-23.05","DOIUrl":"https://doi.org/10.7250/csimq.2020-23.05","url":null,"abstract":"Big data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern technologies in a multitude of application scenarios. As a result, big data has gained an important role for many businesses. However, as of today, the developed solutions are oftentimes perceived as completed products, without considering that the application in highly dynamic environments might benefit from a deviation of this approach. Relevant data sources as well as the questions that are supposed to be answered by their analysis may change rapidly and so do subsequently the requirements regarding the functionalities of the system. To our knowledge, while big data itself is a prominent topic, fields of application that are likely to evolve in a short period of time and the resulting consequences were not specifically investigated until now. Therefore, this research aims to overcome this paucity by clarifying the relation between dynamic business environments and big data analytics (BDA), sensitizing researchers and practitioners for future big data engineering activities. Apart from a thorough literature review, expert interviews are conducted that evaluate the made inferences regarding dynamic and stable influencing factors, the influence of dynamic environments on BDA applications as well as possible countermeasures. The ascertained insights are condensed into a proposal for decision making, facilitating the alignment of BDA and business needs in dynamic business environments.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114170382","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 : 2020-07-31DOI: 10.7250/csimq.2020-23.03
S. Srinivas, A. Gill, T. Roach
In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation.
{"title":"Analytics-Enabled Adaptive Business Architecture Modeling","authors":"S. Srinivas, A. Gill, T. Roach","doi":"10.7250/csimq.2020-23.03","DOIUrl":"https://doi.org/10.7250/csimq.2020-23.03","url":null,"abstract":"In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132015869","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 : 2020-04-29DOI: 10.7250/csimq.2020-22.04
Mikko Rajanen, Dorina Rajanen
Usability covers the breadth and depth of the rich interaction of users and technology in the socio-technical context. Though the concept of usability is well established, the integration of usability thinking in system development is challenging, partly due to the difficulty in understanding the importance of usability and justifying the costs incurred by usability work. This article aims to bring forth three fundamental attributes of usability that originate in classical architecture design, namely, utilitas , firmitas , and venustas . We provide a model of conceptualizing usability as speculum mundi , a lens through which the impacts of interaction at all levels of the organization and society can be identified by drawing parallels between the Vitruvian design principles and the paradigms of usability conceptualization. We restate the importance of the concept of usability in the context of socio-technical systems.
{"title":"Usability as Speculum Mundi: A Core Concept in Socio-technical Systems Development","authors":"Mikko Rajanen, Dorina Rajanen","doi":"10.7250/csimq.2020-22.04","DOIUrl":"https://doi.org/10.7250/csimq.2020-22.04","url":null,"abstract":"Usability covers the breadth and depth of the rich interaction of users and technology in the socio-technical context. Though the concept of usability is well established, the integration of usability thinking in system development is challenging, partly due to the difficulty in understanding the importance of usability and justifying the costs incurred by usability work. This article aims to bring forth three fundamental attributes of usability that originate in classical architecture design, namely, utilitas , firmitas , and venustas . We provide a model of conceptualizing usability as speculum mundi , a lens through which the impacts of interaction at all levels of the organization and society can be identified by drawing parallels between the Vitruvian design principles and the paradigms of usability conceptualization. We restate the importance of the concept of usability in the context of socio-technical systems.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131412668","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 : 2020-04-29DOI: 10.7250/csimq.2020-22.05
I. Bider, E. Perjons, P. Johannesson
The article is devoted to developing a methodological support for planning Design Science (DS) research projects. More exactly, it is aimed at developing a classification of a particular kind of cycles, inherent to DS research projects, and guidelines on how to choose the next cycle in a specific project. The classification and guidelines are based on results from an analysis of DS literature and a reflective analysis of our own research practice. As far as own research practice is concerned, two DS projects have been analyzed in detail. The analysis revealed that though both projects included cycles, the nature of these cycles was different. In the first project, cycles concerned finding a better problem to solve, while in the second project, cycles concerned finding a better solution for more or less the same problem. Both projects concern developing methodologies in the area of socio-technical systems, and the guidelines on how to choose the next cycle have special provisions related to such systems. In conclusion, the article presents examples of other projects that followed the suggested guidelines and discusses the difference of the suggested approach from other approaches to conduct DS research projects.
{"title":"Just Finished a Cycle of a Design Science Research Project: What's Next?","authors":"I. Bider, E. Perjons, P. Johannesson","doi":"10.7250/csimq.2020-22.05","DOIUrl":"https://doi.org/10.7250/csimq.2020-22.05","url":null,"abstract":"The article is devoted to developing a methodological support for planning Design Science (DS) research projects. More exactly, it is aimed at developing a classification of a particular kind of cycles, inherent to DS research projects, and guidelines on how to choose the next cycle in a specific project. The classification and guidelines are based on results from an analysis of DS literature and a reflective analysis of our own research practice. As far as own research practice is concerned, two DS projects have been analyzed in detail. The analysis revealed that though both projects included cycles, the nature of these cycles was different. In the first project, cycles concerned finding a better problem to solve, while in the second project, cycles concerned finding a better solution for more or less the same problem. Both projects concern developing methodologies in the area of socio-technical systems, and the guidelines on how to choose the next cycle have special provisions related to such systems. In conclusion, the article presents examples of other projects that followed the suggested guidelines and discusses the difference of the suggested approach from other approaches to conduct DS research projects.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278911","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 : 2020-04-29DOI: 10.7250/csimq.2020-22.02
I. Bider, Gil Regev, E. Perjons
The article links two seemingly different fundamental theoretical concepts of autopoiesis and homeostasis and tries to apply them to the realm of socio-technical systems with the use of the Fractal Enterprise Model (FEM). Autopoiesis is the property of a system that constantly reproduces itself. Homeostasis describes a way a complex system constantly maintains its identity while adapting to changes in its internal and external environment. To be able to use FEM for this task, the original version of FEM has been extended by adding special elements for representing the system's context – part of the environment to which the system is structurally coupled. The approach taken in this article differs from other works in the same field in having the focus on the “body” (concrete elements being reproduced) of the socio-technical system, as well as on identifying concrete processes that reproduce the system, and demonstrating concrete ways of how a specific system adapts or can adapt to the perturbations in the environment (i.e. internal and external disturbances that affect the system).
{"title":"Using Enterprise Models to Explain and Discuss Autopoiesis and Homeostasis in Socio-technical Systems","authors":"I. Bider, Gil Regev, E. Perjons","doi":"10.7250/csimq.2020-22.02","DOIUrl":"https://doi.org/10.7250/csimq.2020-22.02","url":null,"abstract":"The article links two seemingly different fundamental theoretical concepts of autopoiesis and homeostasis and tries to apply them to the realm of socio-technical systems with the use of the Fractal Enterprise Model (FEM). Autopoiesis is the property of a system that constantly reproduces itself. Homeostasis describes a way a complex system constantly maintains its identity while adapting to changes in its internal and external environment. To be able to use FEM for this task, the original version of FEM has been extended by adding special elements for representing the system's context – part of the environment to which the system is structurally coupled. The approach taken in this article differs from other works in the same field in having the focus on the “body” (concrete elements being reproduced) of the socio-technical system, as well as on identifying concrete processes that reproduce the system, and demonstrating concrete ways of how a specific system adapts or can adapt to the perturbations in the environment (i.e. internal and external disturbances that affect the system).","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116884674","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 : 2020-04-29DOI: 10.7250/csimq.2020-22.03
Lars Taxén
Socio-technical Systems theory sees an organizational work system as comprised of two distinct subsystems – a technical and a social one – that influence each other. Together, these subsystems determine the performance of the work system. Alternative socio-technical trends, such as sociomateriality, understand the social and material as non-existent before they are related. A problematic feature of both approaches is the downplaying of the individual, which is either subsumed under the social or only cursorily treated. To this end, an alternative approach for socio-technical systems thinking is proposed, based on the premise that the individual and social are distinct phenomena, however dialectically constituting each other in everyday activities. We illustrate the central idea of the approach with an example from the telecom industry. Further, we discuss theoretical and practical implications of the approach to be elaborated in future research. In conclusion, we provide a theoretical foundation for advancing socio-technical systems thinking in which the individual is on par with the social and the technical.
{"title":"Reviving the Individual in Socio-technical Systems Thinking","authors":"Lars Taxén","doi":"10.7250/csimq.2020-22.03","DOIUrl":"https://doi.org/10.7250/csimq.2020-22.03","url":null,"abstract":"Socio-technical Systems theory sees an organizational work system as comprised of two distinct subsystems – a technical and a social one – that influence each other. Together, these subsystems determine the performance of the work system. Alternative socio-technical trends, such as sociomateriality, understand the social and material as non-existent before they are related. A problematic feature of both approaches is the downplaying of the individual, which is either subsumed under the social or only cursorily treated. To this end, an alternative approach for socio-technical systems thinking is proposed, based on the premise that the individual and social are distinct phenomena, however dialectically constituting each other in everyday activities. We illustrate the central idea of the approach with an example from the telecom industry. Further, we discuss theoretical and practical implications of the approach to be elaborated in future research. In conclusion, we provide a theoretical foundation for advancing socio-technical systems thinking in which the individual is on par with the social and the technical.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116977881","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 : 2020-04-29DOI: 10.7250/csimq.2020-22.01
M. Jelonek, Thomas Herrmann, Michael Ksoll, Nina Altmann
Developing information systems and collaboration support in the field of intensive home care is faced with challenging conditions of empirical work for requirements elicitation. On the one hand, the huge variety of aspects and situation-related characteristics require a deliberate analysis and close interaction with caregivers and relatives to identify the needs and constraints of technical support. On the other hand, the relevant places are hardly accessible. To be able to visit and observe the clients in situ, consent is needed by the caregiver, the client, and the relatives living with them, and a high level of privacy and confidentiality has to be maintained. Based on an ethnographical data gathering and analysis, this article provides a comprehensive categorization that characterizes the work of caregivers in intensive home, to make the work of information system designers in this field more efficient: activities, interpersonal interaction, documentation, qualification, interaction with technology, client autonomy, history of medical records, and feedback on intensive home care. Finally, these categories are compared with related work of socio-technical design of health care information systems.
{"title":"Ethnographically Derived Socio-technical Analysis for Information System Support in Intensive Home Care","authors":"M. Jelonek, Thomas Herrmann, Michael Ksoll, Nina Altmann","doi":"10.7250/csimq.2020-22.01","DOIUrl":"https://doi.org/10.7250/csimq.2020-22.01","url":null,"abstract":"Developing information systems and collaboration support in the field of intensive home care is faced with challenging conditions of empirical work for requirements elicitation. On the one hand, the huge variety of aspects and situation-related characteristics require a deliberate analysis and close interaction with caregivers and relatives to identify the needs and constraints of technical support. On the other hand, the relevant places are hardly accessible. To be able to visit and observe the clients in situ, consent is needed by the caregiver, the client, and the relatives living with them, and a high level of privacy and confidentiality has to be maintained. Based on an ethnographical data gathering and analysis, this article provides a comprehensive categorization that characterizes the work of caregivers in intensive home, to make the work of information system designers in this field more efficient: activities, interpersonal interaction, documentation, qualification, interaction with technology, client autonomy, history of medical records, and feedback on intensive home care. Finally, these categories are compared with related work of socio-technical design of health care information systems.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117085441","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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