Pub Date : 2016-09-01DOI: 10.1109/EDOCW.2016.7584374
Stephen Air, U. Franke, J. Lapalme
This paper gives a brief overview of the 11th Workshop on Trends in Enterprise Architecture Research (TEAR) held at EDOC 2016. The paper introduces the Workshop research topics and presents the accepted papers.
{"title":"Message from the TEAR 2016 Workshop Chairs","authors":"Stephen Air, U. Franke, J. Lapalme","doi":"10.1109/EDOCW.2016.7584374","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584374","url":null,"abstract":"This paper gives a brief overview of the 11th Workshop on Trends in Enterprise Architecture Research (TEAR) held at EDOC 2016. The paper introduces the Workshop research topics and presents the accepted papers.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199978","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584385
E. Kushnareva, I. Rychkova, B. L. Grand
Knowledge and experience of a case manager re- mains a key success factor for Case Management Processes (CMPs). When a number of influential parameters is high, a number of possible scenarios grows significantly. Automated guidance in scenario evaluation and activity planning would be of a great help. In our previous work, we defined the statecharts semantics for visualisation and simulation of CMP scenarios. In this work, we formalise the state- oriented models with higraphs: higraphs provide mathematical foundation for statecharts and eventually enable a wide panoply of algorithms for process analysis and optimisation. We show how a statecharts diagram can be transformed into higraph and analysed at run-time with graph algorithms. In particular, we take an example of the Shortest Path algorithm and show how this algorithm can be used in order to guide the case manager suggesting her the best process scenario. Compared to BPM approaches, a state-oriented process scenario does not specify concrete activities but only the objectives and constraints to be met. Thus, our approach does not prescribe but describe an activity to be executed next. The manager can define an activity that fit the description "on the fly", based on her experience and intuition.
{"title":"Semantics of Higraphs for Process Modeling and Analysis","authors":"E. Kushnareva, I. Rychkova, B. L. Grand","doi":"10.1109/EDOCW.2016.7584385","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584385","url":null,"abstract":"Knowledge and experience of a case manager re- mains a key success factor for Case Management Processes (CMPs). When a number of influential parameters is high, a number of possible scenarios grows significantly. Automated guidance in scenario evaluation and activity planning would be of a great help. In our previous work, we defined the statecharts semantics for visualisation and simulation of CMP scenarios. In this work, we formalise the state- oriented models with higraphs: higraphs provide mathematical foundation for statecharts and eventually enable a wide panoply of algorithms for process analysis and optimisation. We show how a statecharts diagram can be transformed into higraph and analysed at run-time with graph algorithms. In particular, we take an example of the Shortest Path algorithm and show how this algorithm can be used in order to guide the case manager suggesting her the best process scenario. Compared to BPM approaches, a state-oriented process scenario does not specify concrete activities but only the objectives and constraints to be met. Thus, our approach does not prescribe but describe an activity to be executed next. The manager can define an activity that fit the description \"on the fly\", based on her experience and intuition.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128129155","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584377
Maximilian Brosius
Enterprise architecture management (EAM) is a prominent discipline that aims at guiding decisions in local information systems (IS) investments toward organization-wide objectives. Due to shortcomings resulting from the guidance of EAM as a strong hierarchical, top-down driven coordination practice, scholars have recently introduced the concept of architectural thinking. Complementary to top-down driven coordination, architectural thinking aims at local decisionmakers for applying collectivistic considerations in their decisions and hence guiding IS endeavors beyond local utilities. Yet, the question of how to enable and foster this collectivistic orientation remains unanswered. Inspired by stewardship theory, this research conceptualizes a collectivistic-oriented decisionmaker by the means of motivation. A literature review is conducted for identifying and exploring pertinent motivation mechanisms that foster the adoption of a collectivistic orientation among decision-makers, enriched with focus group data. To this end, five groups of situational and psychological mechanisms are reported. These findings set out a guidance for prospective EAM research in approaching architectural coordination through a collectivistic orientation in decision-making.
{"title":"Motivation for Coordination - a Complementary Approach to Enterprise Architecture Management Research","authors":"Maximilian Brosius","doi":"10.1109/EDOCW.2016.7584377","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584377","url":null,"abstract":"Enterprise architecture management (EAM) is a prominent discipline that aims at guiding decisions in local information systems (IS) investments toward organization-wide objectives. Due to shortcomings resulting from the guidance of EAM as a strong hierarchical, top-down driven coordination practice, scholars have recently introduced the concept of architectural thinking. Complementary to top-down driven coordination, architectural thinking aims at local decisionmakers for applying collectivistic considerations in their decisions and hence guiding IS endeavors beyond local utilities. Yet, the question of how to enable and foster this collectivistic orientation remains unanswered. Inspired by stewardship theory, this research conceptualizes a collectivistic-oriented decisionmaker by the means of motivation. A literature review is conducted for identifying and exploring pertinent motivation mechanisms that foster the adoption of a collectivistic orientation among decision-makers, enriched with focus group data. To this end, five groups of situational and psychological mechanisms are reported. These findings set out a guidance for prospective EAM research in approaching architectural coordination through a collectivistic orientation in decision-making.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132506841","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584363
Maximilian Christ, Julian Krumeich, A. Kempa-Liehr
The monitoring of real-time objects such as steel billets during their casting process creates myriads of events. Complex Event Processing (CEP) is the technology to analyze resulting event streams as fast as possible. But classic CEP is not able to consider events that did not happen yet. It is not clear how to transform CEP from a technology, which reacts on past events, to one, which anticipates near future events. Conditional density estimation allows to combine both estimation and expected uncertainty about the next occurrence of a given event in one mathematical object. Moreover, it allows to calculate the probability of event patterns, which are the basis for CEP. Hence, we are introducing the concept of Conditional Event Occurrence Density Estimation (CEODE) to CEP. We present a reference architecture for combining CEP engines with predictive analytics using CEODEs. On basis of concrete guidelines for transforming classical event processing rules to proactive ones, we are demonstrating how CEP evolves from being reactive to becoming both predictive and prescriptive.
{"title":"Integrating Predictive Analytics into Complex Event Processing by Using Conditional Density Estimations","authors":"Maximilian Christ, Julian Krumeich, A. Kempa-Liehr","doi":"10.1109/EDOCW.2016.7584363","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584363","url":null,"abstract":"The monitoring of real-time objects such as steel billets during their casting process creates myriads of events. Complex Event Processing (CEP) is the technology to analyze resulting event streams as fast as possible. But classic CEP is not able to consider events that did not happen yet. It is not clear how to transform CEP from a technology, which reacts on past events, to one, which anticipates near future events. Conditional density estimation allows to combine both estimation and expected uncertainty about the next occurrence of a given event in one mathematical object. Moreover, it allows to calculate the probability of event patterns, which are the basis for CEP. Hence, we are introducing the concept of Conditional Event Occurrence Density Estimation (CEODE) to CEP. We present a reference architecture for combining CEP engines with predictive analytics using CEODEs. On basis of concrete guidelines for transforming classical event processing rules to proactive ones, we are demonstrating how CEP evolves from being reactive to becoming both predictive and prescriptive.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131688367","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584381
José Miguel Pérez-Álvarez, María Teresa Gómez López, L. Parody, R. M. Gasca
Companies are increasingly incorporating commercial Business Process Management Systems (BPMSs) as mechanisms to automate their daily procedures. These BPMSs manage the information related to the instances that flow through the model (business data), and recover the information concerning the process performance (Process Performance Indicators). Process Performance Indicators (PPIs) tend to be used for the detection of possible deviations of expected behaviour, and help in the post-mortem analysis and redesign by improving the goals of the processes. However, not only are PPIs important in terms of their ability to measure and detect a derivation, but they should also be included at decision points to make the business processes more adaptable to the process reality at runtime. In this paper, we propose a complete solution that allows the incorporation of the PPIs into decision tasks, following the Decision Model and Notation (DMN) standard, with the aim of enriching the decisions that can be taken during the process execution. Our proposal firstly includes an extension of the decision rule grammar of the DMN standard, by incorporating the definition and the use of a Process Instance Query Language (PIQL) that offers information about the instances related to the PPIs involved. In order to achieve this objective, a framework has also been developed to support the enrichment of process instance query expressions (PIQEs). This framework combines a set of mature technologies to evaluate the decisions about PPIs at runtime. As an illustration a real sample has been used whose decisions are improved thanks to the incorporation of the PPIs at runtime.
{"title":"Process Instance Query Language to Include Process Performance Indicators in DMN","authors":"José Miguel Pérez-Álvarez, María Teresa Gómez López, L. Parody, R. M. Gasca","doi":"10.1109/EDOCW.2016.7584381","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584381","url":null,"abstract":"Companies are increasingly incorporating commercial Business Process Management Systems (BPMSs) as mechanisms to automate their daily procedures. These BPMSs manage the information related to the instances that flow through the model (business data), and recover the information concerning the process performance (Process Performance Indicators). Process Performance Indicators (PPIs) tend to be used for the detection of possible deviations of expected behaviour, and help in the post-mortem analysis and redesign by improving the goals of the processes. However, not only are PPIs important in terms of their ability to measure and detect a derivation, but they should also be included at decision points to make the business processes more adaptable to the process reality at runtime. In this paper, we propose a complete solution that allows the incorporation of the PPIs into decision tasks, following the Decision Model and Notation (DMN) standard, with the aim of enriching the decisions that can be taken during the process execution. Our proposal firstly includes an extension of the decision rule grammar of the DMN standard, by incorporating the definition and the use of a Process Instance Query Language (PIQL) that offers information about the instances related to the PPIs involved. In order to achieve this objective, a framework has also been developed to support the enrichment of process instance query expressions (PIQEs). This framework combines a set of mature technologies to evaluate the decisions about PPIs at runtime. As an illustration a real sample has been used whose decisions are improved thanks to the incorporation of the PPIs at runtime.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134317996","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584371
C. Atkinson, D. Bork, J. Gulden
NA
{"title":"Message from the ModTools 2016 Workshop Chairs","authors":"C. Atkinson, D. Bork, J. Gulden","doi":"10.1109/EDOCW.2016.7584371","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584371","url":null,"abstract":"NA","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133663962","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584357
Marcus Birgersson, Gustav Hansson, U. Franke
Today, enterprise integration and cross-enterprise collaboration is becoming evermore important. The Internet of things, digitization and globalization are pushing continuous growth in the integration market. However, setting up integration systems today is still largely a manual endeavor. Most probably, future integration will need to leverage more automation in order to keep up with demand. This paper presents a first version of a system that uses tools from artificial intelligence and machine learning to ease the integration of information systems, aiming to automate parts of it. Three models are presented and evaluated for precision and recall using data from real, past, integration projects. The results show that it is possible to obtain F0.5 scores in the order of 80% for models trained on a particular kind of data, and in the order of 60%-70% for less specific models trained on a several kinds of data. Such models would be valuable enablers for integration brokers to keep up with demand, and obtain a competitive advantage. Future work includes fusing the results from the different models, and enabling continuous learning from an operational production system.
{"title":"Data Integration Using Machine Learning","authors":"Marcus Birgersson, Gustav Hansson, U. Franke","doi":"10.1109/EDOCW.2016.7584357","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584357","url":null,"abstract":"Today, enterprise integration and cross-enterprise collaboration is becoming evermore important. The Internet of things, digitization and globalization are pushing continuous growth in the integration market. However, setting up integration systems today is still largely a manual endeavor. Most probably, future integration will need to leverage more automation in order to keep up with demand. This paper presents a first version of a system that uses tools from artificial intelligence and machine learning to ease the integration of information systems, aiming to automate parts of it. Three models are presented and evaluated for precision and recall using data from real, past, integration projects. The results show that it is possible to obtain F0.5 scores in the order of 80% for models trained on a particular kind of data, and in the order of 60%-70% for less specific models trained on a several kinds of data. Such models would be valuable enablers for integration brokers to keep up with demand, and obtain a competitive advantage. Future work includes fusing the results from the different models, and enabling continuous learning from an operational production system.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133780752","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584364
Patrick Saint-Louis, J. Lapalme
The number of publications, along with the organization of new conferences are a couple of the relevant elements that usually indicate the progress of an area of study over the years. This is definitely true in the case of the Enterprise Architecture (EA) discipline, which went from having its first journal article published in 1989 to over two hundred published articles by 2015. But in spite of this evolution, EA is still suffering from a considerable lack of common understanding. It has become very important to investigate the current state of affairs concerning the EA discipline through its relevant publications in order to shed some light on this challenge. 171 journal papers published between 1990 and 2015 were systematically selected and examined in order to accomplish this investigation. The quantitative and qualitative findings of this examination show that EA is a young discipline which raises a growing interest in recent years. This examination also confirms the lack of common understanding in EA, which can be observed in the different descriptions of the term "enterprise architecture," and in the diversity of perspective with regards to the whole discipline. Several issues related to this lack has been reported, such as multidisciplinary issue, language issue, structure of research and mode of observation issues. The major issue concerns the absence of enough research to shed some light on this challenge. In addition to this investigation, helpful directions for future research in this area was proposed.
{"title":"Investigation of the Lack of Common Understanding in the Discipline of Enterprise Architecture : A Systematic Mapping Study","authors":"Patrick Saint-Louis, J. Lapalme","doi":"10.1109/EDOCW.2016.7584364","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584364","url":null,"abstract":"The number of publications, along with the organization of new conferences are a couple of the relevant elements that usually indicate the progress of an area of study over the years. This is definitely true in the case of the Enterprise Architecture (EA) discipline, which went from having its first journal article published in 1989 to over two hundred published articles by 2015. But in spite of this evolution, EA is still suffering from a considerable lack of common understanding. It has become very important to investigate the current state of affairs concerning the EA discipline through its relevant publications in order to shed some light on this challenge. 171 journal papers published between 1990 and 2015 were systematically selected and examined in order to accomplish this investigation. The quantitative and qualitative findings of this examination show that EA is a young discipline which raises a growing interest in recent years. This examination also confirms the lack of common understanding in EA, which can be observed in the different descriptions of the term \"enterprise architecture,\" and in the diversity of perspective with regards to the whole discipline. Several issues related to this lack has been reported, such as multidisciplinary issue, language issue, structure of research and mode of observation issues. The major issue concerns the absence of enough research to shed some light on this challenge. In addition to this investigation, helpful directions for future research in this area was proposed.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127097852","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584353
Nane Kratzke, R. Peinl
The capability to operate cloud-native applications can generate enormous business growth and value. But enterprise architects should be aware that cloud-native applications are vulnerable to vendor lock-in. We investigated cloud-native application design principles, public cloud service providers, and industrial cloud standards. All results indicate that most cloud service categories seem to foster vendor lock-in situations which might be especially problematic for enterprise architectures. This might sound disillusioning at first. However, we present a reference model for cloud-native applications that relies only on a small subset of well standardized IaaS services. The reference model can be used for codifying cloud technologies. It can guide technology identification, classification, adoption, research and development processes for cloud-native application and for vendor lock-in aware enterprise architecture engineering methodologies.
{"title":"ClouNS - a Cloud-Native Application Reference Model for Enterprise Architects","authors":"Nane Kratzke, R. Peinl","doi":"10.1109/EDOCW.2016.7584353","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584353","url":null,"abstract":"The capability to operate cloud-native applications can generate enormous business growth and value. But enterprise architects should be aware that cloud-native applications are vulnerable to vendor lock-in. We investigated cloud-native application design principles, public cloud service providers, and industrial cloud standards. All results indicate that most cloud service categories seem to foster vendor lock-in situations which might be especially problematic for enterprise architectures. This might sound disillusioning at first. However, we present a reference model for cloud-native applications that relies only on a small subset of well standardized IaaS services. The reference model can be used for codifying cloud technologies. It can guide technology identification, classification, adoption, research and development processes for cloud-native application and for vendor lock-in aware enterprise architecture engineering methodologies.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"14 1-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293590","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 : 2016-09-01DOI: 10.1109/EDOCW.2016.7584393
J. Tenschert, R. Lenz
Knowledge workers already face a broad range of tools to support their work, e.g. adaptive case management systems, tailored information systems, groupware, and other (process) support systems. Case data is scattered across many systems, and the overlapping structured, semi-structured, and ad-hoc processes involved further impede keeping track of related data and activities. Organizations are socio-technical entities, and interactions have significant impact on their success. Today, around 50% of the work in the US is knowledge work, and other countries show a similar tendency. Improving integration of appropriate tools for knowledge work and augmenting support for interactions therefore offers to increase productivity in a very influential part of the workforce. Knowledge workers are well aware of the pragmatic intention of their communicative acts, but currently their systems are not. We suggest to use Speech Act Theory to enable useful inferences and to improve integration of the various tools for knowledge work. A focus on interactions raises awareness for the pragmatic intention and commitments in particular. It can help providing line markings for knowledge workers by facilitating compliance monitoring for interactions and artifacts stemming from many participating systems and manual documentation. Interactions already tie many separate systems together, and standardizing as well as partially automating them can therefore further simplify integration. Speech-act-based adaptive case management offers to increase process transparency, enable useful inferences, and integrate structured, semi-structured, and ad-hoc processes.
{"title":"Towards Speech-Act-Based Adaptive Case Management","authors":"J. Tenschert, R. Lenz","doi":"10.1109/EDOCW.2016.7584393","DOIUrl":"https://doi.org/10.1109/EDOCW.2016.7584393","url":null,"abstract":"Knowledge workers already face a broad range of tools to support their work, e.g. adaptive case management systems, tailored information systems, groupware, and other (process) support systems. Case data is scattered across many systems, and the overlapping structured, semi-structured, and ad-hoc processes involved further impede keeping track of related data and activities. Organizations are socio-technical entities, and interactions have significant impact on their success. Today, around 50% of the work in the US is knowledge work, and other countries show a similar tendency. Improving integration of appropriate tools for knowledge work and augmenting support for interactions therefore offers to increase productivity in a very influential part of the workforce. Knowledge workers are well aware of the pragmatic intention of their communicative acts, but currently their systems are not. We suggest to use Speech Act Theory to enable useful inferences and to improve integration of the various tools for knowledge work. A focus on interactions raises awareness for the pragmatic intention and commitments in particular. It can help providing line markings for knowledge workers by facilitating compliance monitoring for interactions and artifacts stemming from many participating systems and manual documentation. Interactions already tie many separate systems together, and standardizing as well as partially automating them can therefore further simplify integration. Speech-act-based adaptive case management offers to increase process transparency, enable useful inferences, and integrate structured, semi-structured, and ad-hoc processes.","PeriodicalId":287808,"journal":{"name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129118453","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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