Pub Date : 2023-05-10DOI: 10.5220/0011749600003467
Himmet Kaplan, R. Mundani, Heiko Rölke, A. Weichselbraun
Predicting market movements based on the sentiment of news media has a long tradition in data analysis. With advances in natural language processing, transformer architectures have emerged that enable contextually aware sentiment classification. Nevertheless, current methods built for the general financial market such as FinBERT cannot distinguish asset-specific value-driving factors. This paper addresses this shortcoming by presenting a method that identifies and classifies events that impact supply and demand in the crude oil markets within a large corpus of relevant news headlines. We then introduce CrudeBERT, a new sentiment analysis model that draws upon these events to contextualize and fine-tune FinBERT, thereby yielding improved sentiment classifications for headlines related to the crude oil futures market. An extensive evaluation demonstrates that CrudeBERT outperforms proprietary and open-source solutions in the domain of crude oil.
{"title":"CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market","authors":"Himmet Kaplan, R. Mundani, Heiko Rölke, A. Weichselbraun","doi":"10.5220/0011749600003467","DOIUrl":"https://doi.org/10.5220/0011749600003467","url":null,"abstract":"Predicting market movements based on the sentiment of news media has a long tradition in data analysis. With advances in natural language processing, transformer architectures have emerged that enable contextually aware sentiment classification. Nevertheless, current methods built for the general financial market such as FinBERT cannot distinguish asset-specific value-driving factors. This paper addresses this shortcoming by presenting a method that identifies and classifies events that impact supply and demand in the crude oil markets within a large corpus of relevant news headlines. We then introduce CrudeBERT, a new sentiment analysis model that draws upon these events to contextualize and fine-tune FinBERT, thereby yielding improved sentiment classifications for headlines related to the crude oil futures market. An extensive evaluation demonstrates that CrudeBERT outperforms proprietary and open-source solutions in the domain of crude oil.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127562599","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 : 2023-02-17DOI: 10.48550/arXiv.2303.03882
Janine Stutz, Oliver Karras, A. Oelen, S. Auer
Recent events such as wars, sanctions, pandemics, and climate change have shown the importance of proper supply network management. A key step in managing supply networks is procurement. We present an approach for realizing a next-generation procurement workspace that aims to facilitate resilience and sustainability. To achieve this, the approach encompasses a novel way of information integration, automation tools as well as analytical techniques. As a result, the procurement can be viewed from the perspective of the environmental impact, comprising and aggregating sustainability scores along the supply chain. We suggest and present an implementation of our approach, which is meanwhile used in a global Fortune 500 company. We further present the results of an empirical evaluation study, where we performed in-depth interviews with the stakeholders of the novel procurement platform to validate its adequacy, usability, and innovativeness.
{"title":"A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability","authors":"Janine Stutz, Oliver Karras, A. Oelen, S. Auer","doi":"10.48550/arXiv.2303.03882","DOIUrl":"https://doi.org/10.48550/arXiv.2303.03882","url":null,"abstract":"Recent events such as wars, sanctions, pandemics, and climate change have shown the importance of proper supply network management. A key step in managing supply networks is procurement. We present an approach for realizing a next-generation procurement workspace that aims to facilitate resilience and sustainability. To achieve this, the approach encompasses a novel way of information integration, automation tools as well as analytical techniques. As a result, the procurement can be viewed from the perspective of the environmental impact, comprising and aggregating sustainability scores along the supply chain. We suggest and present an implementation of our approach, which is meanwhile used in a global Fortune 500 company. We further present the results of an empirical evaluation study, where we performed in-depth interviews with the stakeholders of the novel procurement platform to validate its adequacy, usability, and innovativeness.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768290","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 : 2022-04-30DOI: 10.5220/0010475902720279
E. Canedo, A. Vale, Rogério Machado Gravina, R. L. Patrão, Leomar Camargo de Souza, Vinicius Eloy dos Reis, Fábio L. L. Mendonça, Rafael Timóteo de Sousa Júnior
The process of identifying and managing Information and Communication Technology (ICT) risks has become a concern and a challenge for public and private organizations. In this context, risk management methodologies within the Brazilian Federal Public Administration organizations have become indispensable to help the managers of these organizations in decision making, especially in the distribution of public funds, elaboration of public policies focused on transparency, social actions contemplating indemnities, and social benefits, among others. In addition, the various ICT projects controlled by the public administration need a methodology to perform their management of ICT resources. In this article, we present the Governance and Risk Management methodology used to model the Administrative Council for Economic Defense (CADE) macro processes. The proposed methodology used the risk management process aligned to the ISO 31000 standards. This alignment was necessary for mapping CADE’s risk events, regardless of their complexity. The modeled ICT risk processes will support the organization’s managers in decision making and may be used or customized by any other organization of the Brazilian Federal Public Administration.
{"title":"An Applied Risk Identification Approach in the ICT Governance and Management Macroprocesses of a Brazilian Federal Government Agency","authors":"E. Canedo, A. Vale, Rogério Machado Gravina, R. L. Patrão, Leomar Camargo de Souza, Vinicius Eloy dos Reis, Fábio L. L. Mendonça, Rafael Timóteo de Sousa Júnior","doi":"10.5220/0010475902720279","DOIUrl":"https://doi.org/10.5220/0010475902720279","url":null,"abstract":"The process of identifying and managing Information and Communication Technology (ICT) risks has become a concern and a challenge for public and private organizations. In this context, risk management methodologies within the Brazilian Federal Public Administration organizations have become indispensable to help the managers of these organizations in decision making, especially in the distribution of public funds, elaboration of public policies focused on transparency, social actions contemplating indemnities, and social benefits, among others. In addition, the various ICT projects controlled by the public administration need a methodology to perform their management of ICT resources. In this article, we present the Governance and Risk Management methodology used to model the Administrative Council for Economic Defense (CADE) macro processes. The proposed methodology used the risk management process aligned to the ISO 31000 standards. This alignment was necessary for mapping CADE’s risk events, regardless of their complexity. The modeled ICT risk processes will support the organization’s managers in decision making and may be used or customized by any other organization of the Brazilian Federal Public Administration.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"27 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132487400","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 : 2022-01-01DOI: 10.5220/0011066100003179
André Pomp, Andreas Burgdorf, A. Paulus, Tobias Meisen
: The Internet of Things (IoT) enables companies to develop new digital business models or optimize existing processes through digitalization. Since value creation in the skilled crafts is determined by the manufacturing of material products and the provision of associated services, it is predestined for the use of IoT technologies. While these services are increasingly finding their way into the consumer market via industrial providers, the local skilled crafts with its small and medium-sized businesses lacks the knowledge to assess the potential and to adequately develop and operate IoT solutions. Our aim is to develop a manufacturer-independent platform that enables those businesses to implement IoT solutions independently. The platform is intended to support craftsmen in identifying suitable IoT use cases and resulting business models for their trades, products or services. For that, it will provide an overview of the components (e.g., sensors) required for the respective use cases. Based on this, the use cases can be set up without special know-how with the help of the platform, which also collects and manages the accruing data. Each craft business can identify new use cases and make them available to the other users of the platform, thus creating a cross-trade solution from the skilled crafts for the skilled crafts. Potential IoT use cases and their technical requirements were already identified in a pre-study in collaborative hackathons and will be evaluated during the development of the IoT Crafts Portal. The results are intended to assist craft businesses from a wide range of trades to identify and implement new business models in such a way that they can be integrated into the existing processes of the businesses. At the same time, there will be a transfer of knowledge between the craft businesses themselves, since each can use the experience of the other business or offer its own insights.
{"title":"Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts","authors":"André Pomp, Andreas Burgdorf, A. Paulus, Tobias Meisen","doi":"10.5220/0011066100003179","DOIUrl":"https://doi.org/10.5220/0011066100003179","url":null,"abstract":": The Internet of Things (IoT) enables companies to develop new digital business models or optimize existing processes through digitalization. Since value creation in the skilled crafts is determined by the manufacturing of material products and the provision of associated services, it is predestined for the use of IoT technologies. While these services are increasingly finding their way into the consumer market via industrial providers, the local skilled crafts with its small and medium-sized businesses lacks the knowledge to assess the potential and to adequately develop and operate IoT solutions. Our aim is to develop a manufacturer-independent platform that enables those businesses to implement IoT solutions independently. The platform is intended to support craftsmen in identifying suitable IoT use cases and resulting business models for their trades, products or services. For that, it will provide an overview of the components (e.g., sensors) required for the respective use cases. Based on this, the use cases can be set up without special know-how with the help of the platform, which also collects and manages the accruing data. Each craft business can identify new use cases and make them available to the other users of the platform, thus creating a cross-trade solution from the skilled crafts for the skilled crafts. Potential IoT use cases and their technical requirements were already identified in a pre-study in collaborative hackathons and will be evaluated during the development of the IoT Crafts Portal. The results are intended to assist craft businesses from a wide range of trades to identify and implement new business models in such a way that they can be integrated into the existing processes of the businesses. At the same time, there will be a transfer of knowledge between the craft businesses themselves, since each can use the experience of the other business or offer its own insights.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999452","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 : 2021-04-30DOI: 10.5220/0010436807070714
Dan Palade, Charles Møller, Chen Li, Soujanya Mantravadi
As industries are becoming increasingly digitalized, new manufacturing concepts require redesigning the information systems architecture. The Smart Production Laboratory is used as a learning factory aimed at exploring new industry 4.0 technologies and for demonstrating Smart Production solutions. The initial Smart Production Laboratory was built on a proprietary software stack. Experimenting with the information systems architecture using proprietary systems has shown to be difficult, which is why we built a complete modular open-source software stack for the Smart Production Laboratory intended to enable high-speed and low-cost development of demonstrators for research, teaching, and innovation. Therefore, the purpose of this research is to capture the development of the software stack and identify the required target architecture for the platform. This is further used for discussing potential future challenges in demonstrating new and innovative Smart Production concepts.
{"title":"An Open Platform for Smart Production: IT/OT Integration in a Smart Factory","authors":"Dan Palade, Charles Møller, Chen Li, Soujanya Mantravadi","doi":"10.5220/0010436807070714","DOIUrl":"https://doi.org/10.5220/0010436807070714","url":null,"abstract":"As industries are becoming increasingly digitalized, new manufacturing concepts require redesigning the information systems architecture. The Smart Production Laboratory is used as a learning factory aimed at exploring new industry 4.0 technologies and for demonstrating Smart Production solutions. The initial Smart Production Laboratory was built on a proprietary software stack. Experimenting with the information systems architecture using proprietary systems has shown to be difficult, which is why we built a complete modular open-source software stack for the Smart Production Laboratory intended to enable high-speed and low-cost development of demonstrators for research, teaching, and innovation. Therefore, the purpose of this research is to capture the development of the software stack and identify the required target architecture for the platform. This is further used for discussing potential future challenges in demonstrating new and innovative Smart Production concepts.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126450572","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 : 2021-04-01DOI: 10.5220/0010477702900296
J. Piest, Jennifer Alice Cutinha, R. Bemthuis, F. Bukhsh
When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Trip Model (OTM) for process mining. Inspired by the current industrial use of the OTM for reporting and business intelligence, we believe that the data model of OTM can be utilized for unified storage, integration, interoperability, and querying of logistic event data. Therefore, the OTM data model is mapped to a generic event log structure to satisfy the minimum requirements for process mining. A demonstrative scenario is used to show how event data can be extracted from the OTM’s default scenario dataset to create an event log as the starting point for process mining. Thus, this approach provides a foundation for future research about interoperability challenges and unifying process mining models based on industry standards, and a starting point for developing process mining applications in the logistics industry.
{"title":"Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics","authors":"J. Piest, Jennifer Alice Cutinha, R. Bemthuis, F. Bukhsh","doi":"10.5220/0010477702900296","DOIUrl":"https://doi.org/10.5220/0010477702900296","url":null,"abstract":"When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Trip Model (OTM) for process mining. Inspired by the current industrial use of the OTM for reporting and business intelligence, we believe that the data model of OTM can be utilized for unified storage, integration, interoperability, and querying of logistic event data. Therefore, the OTM data model is mapped to a generic event log structure to satisfy the minimum requirements for process mining. A demonstrative scenario is used to show how event data can be extracted from the OTM’s default scenario dataset to create an event log as the starting point for process mining. Thus, this approach provides a foundation for future research about interoperability challenges and unifying process mining models based on industry standards, and a starting point for developing process mining applications in the logistics industry.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"38 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130607650","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 : 2021-02-12DOI: 10.5220/0010451100750082
Igor Garcia Ballhausen Sampaio, Luigy Machaca, J. V. Filho, Joris Guérin
Object Detection (OD) is an important computer vision problem for industry, which can be used for quality control in the production lines, among other applications. Recently, Deep Learning (DL) methods have enabled practitioners to train OD models performing well on complex real world images. However, the adoption of these models in industry is still limited by the difficulty and the significant cost of collecting high quality training datasets. On the other hand, when applying OD to the context of production lines, CAD models of the objects to be detected are often available. In this paper, we introduce a fully automated method that uses a CAD model of an object and returns a fully trained OD model for detecting this object. To do this, we created a Blender script that generates realistic labeled datasets of images containing the object, which are then used for training the OD model. The method is validated experimentally on two practical examples, showing that this approach can generate OD models performing well on real images, while being trained only on synthetic images. The proposed method has potential to facilitate the adoption of object detection models in industry as it is easy to adapt for new objects and highly flexible. Hence, it can result in significant costs reduction, gains in productivity and improved products quality.
{"title":"A novel method for object detection using deep learning and CAD models","authors":"Igor Garcia Ballhausen Sampaio, Luigy Machaca, J. V. Filho, Joris Guérin","doi":"10.5220/0010451100750082","DOIUrl":"https://doi.org/10.5220/0010451100750082","url":null,"abstract":"Object Detection (OD) is an important computer vision problem for industry, which can be used for quality control in the production lines, among other applications. Recently, Deep Learning (DL) methods have enabled practitioners to train OD models performing well on complex real world images. However, the adoption of these models in industry is still limited by the difficulty and the significant cost of collecting high quality training datasets. On the other hand, when applying OD to the context of production lines, CAD models of the objects to be detected are often available. In this paper, we introduce a fully automated method that uses a CAD model of an object and returns a fully trained OD model for detecting this object. To do this, we created a Blender script that generates realistic labeled datasets of images containing the object, which are then used for training the OD model. The method is validated experimentally on two practical examples, showing that this approach can generate OD models performing well on real images, while being trained only on synthetic images. The proposed method has potential to facilitate the adoption of object detection models in industry as it is easy to adapt for new objects and highly flexible. Hence, it can result in significant costs reduction, gains in productivity and improved products quality.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133853135","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 : 2020-05-05DOI: 10.1007/978-3-030-75418-1_35
Cristian Gómez-Portes, C. Lacave, A. Molina, David Vallejo-Fernandez, S. Schez-Sobrino
{"title":"A Modern Approach to Personalize Exergames for the Physical Rehabilitation of Children Suffering from Lumbar Spine","authors":"Cristian Gómez-Portes, C. Lacave, A. Molina, David Vallejo-Fernandez, S. Schez-Sobrino","doi":"10.1007/978-3-030-75418-1_35","DOIUrl":"https://doi.org/10.1007/978-3-030-75418-1_35","url":null,"abstract":"","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129333464","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 : 2020-05-05DOI: 10.5220/0009349501770184
Jingya Yuan, F. Biennier, A. Benharkat
: Since the early definition of the Virtual Enterprise concept in the 90s, efficient information sharing and trust have been pointed out as major challenges to support the enactment of collaborative organisations. By now, traditional Collaborative Business support systems have been designed to interconnect corporate Business Processes and different well-known information systems, whereas trust is mostly managed thanks to inter-personal relationships. Unfortunately, this well-perimetrized vision of a Collaborative Network Organization does not fit the large scale, opened and evolving context due to the fast adoption of Industry 4.0 and sharing economy models which rely on the large scale adoption of Social Mobile Analytics Cloud Internet of Things technologies (later called SMACIT for short) and semi-opened information systems. This involves rethinking the way information, services and applications are organized, deployed, shared and protected, moving from the traditional perimetrized system protection to data and service life-long usage control. To this end, we propose a data-driven security organization which uses a multi-layer architecture to describe on one hand the logical organisation of the information system, i.e. the data assets and the business services needed to implement the collaborative business processes and on the other hand the multiple copies exchanged with different service providers. Based on this Information System meta-model, our system integrates a blockchain-based usage manager to govern the way information are exchanged and processed.
{"title":"A Data-centered Usage Governance: Providing Life-long Protection to Data Exchanged in Virtual Enterprises","authors":"Jingya Yuan, F. Biennier, A. Benharkat","doi":"10.5220/0009349501770184","DOIUrl":"https://doi.org/10.5220/0009349501770184","url":null,"abstract":": Since the early definition of the Virtual Enterprise concept in the 90s, efficient information sharing and trust have been pointed out as major challenges to support the enactment of collaborative organisations. By now, traditional Collaborative Business support systems have been designed to interconnect corporate Business Processes and different well-known information systems, whereas trust is mostly managed thanks to inter-personal relationships. Unfortunately, this well-perimetrized vision of a Collaborative Network Organization does not fit the large scale, opened and evolving context due to the fast adoption of Industry 4.0 and sharing economy models which rely on the large scale adoption of Social Mobile Analytics Cloud Internet of Things technologies (later called SMACIT for short) and semi-opened information systems. This involves rethinking the way information, services and applications are organized, deployed, shared and protected, moving from the traditional perimetrized system protection to data and service life-long usage control. To this end, we propose a data-driven security organization which uses a multi-layer architecture to describe on one hand the logical organisation of the information system, i.e. the data assets and the business services needed to implement the collaborative business processes and on the other hand the multiple copies exchanged with different service providers. Based on this Information System meta-model, our system integrates a blockchain-based usage manager to govern the way information are exchanged and processed.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114790602","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 : 2020-05-01DOI: 10.5220/0009392306660678
Roberto Rafael García-Escallón, Adina Aldea
: Organizations around the world today face many challenges, and not all of them are unique. Such repeatable problems can themselves be solved by reusable solutions. This study focuses on Enterprise Architecture Patterns, reusable solutions to repeating challenges organizations face. Through a systematic literature review, we aim to gather an exhaustive recollection of all such patterns in literature. In order to be as comprehensive as possible, the sample included related fields also researching patterns. The result is a collection of 593 patterns and their respective analysis, which will help practitioners tackle their challenges.
{"title":"On Enterprise Architecture Patterns: A Systematic Literature Review","authors":"Roberto Rafael García-Escallón, Adina Aldea","doi":"10.5220/0009392306660678","DOIUrl":"https://doi.org/10.5220/0009392306660678","url":null,"abstract":": Organizations around the world today face many challenges, and not all of them are unique. Such repeatable problems can themselves be solved by reusable solutions. This study focuses on Enterprise Architecture Patterns, reusable solutions to repeating challenges organizations face. Through a systematic literature review, we aim to gather an exhaustive recollection of all such patterns in literature. In order to be as comprehensive as possible, the sample included related fields also researching patterns. The result is a collection of 593 patterns and their respective analysis, which will help practitioners tackle their challenges.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116292718","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：