2019 IEEE 21st Conference on Business Informatics (CBI)最新文献_第4页

The European Procurement Dilemma-First Steps to Introduce Data-Driven Policy-Making in Public Procurement 欧洲采购困境——在公共采购中引入数据驱动决策的第一步

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00041

Sebastian Halsbenning, Marco Niemann

引用次数: 1

Documents, Topics, and Authors: Text Mining of Online News 文档、主题和作者:在线新闻的文本挖掘

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00053

Mete Sertkan, J. Neidhardt, H. Werthner

{"title":"Documents, Topics, and Authors: Text Mining of Online News","authors":"Mete Sertkan, J. Neidhardt, H. Werthner","doi":"10.1109/CBI.2019.00053","DOIUrl":"https://doi.org/10.1109/CBI.2019.00053","url":null,"abstract":"The goal of recommender systems is, in essence, to help people to discover items they might like, i.e., items that fit their preferences, personality, and needs. Depending on the respective domain, those items can be books, movies, music, hotels, and much more. Typically, recommendations are based on past user interactions (e.g., movies a user saw, hotels a user booked, etc.). This work in progress paper focuses on news recommender systems. Because of the nature of news (e.g., constantly new items, short item lifetime, etc.), recommendations based on past interactions are especially hard to make. Hence, news recommender systems heavily rely on the actual content of news. While previous work mainly considers one aspect of the content of news articles, we jointly analyse and discuss in this work a given corpora of news articles on three different levels (i.e., document-level, topic-level, and author-level). The overall aim is to set to provide the basis for a comprehensive news recommender system, which reaches beyond accuracy and considers also diversity and serendipity. We demonstrate that relevant information can be extracted out of a given corpora, and differences in author, time, and topic can be shown. Furthermore, the author-level analysis shows that documents can be clustered based on the writing style of authors. Finally, our findings show that author-level analysis has the potential to recommend the most diverse items compared to the other approaches.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123350203","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}

引用次数: 1

Sentiment Analysis of Product Reviews in Russian using Convolutional Neural Networks 基于卷积神经网络的俄语产品评论情感分析

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00062

Sergey Smetanin, Mikhail M. Komarov

引用次数: 31

Building an Intelligent Comprehensive Scoring Model Based on Fuzzy Technologies 基于模糊技术的智能综合评分模型的构建

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.10091

D. Nazarov, S. Efremov

引用次数: 1

Appliances of Smart TV as an IoT Device for Industry 4.0 智能电视作为工业4.0物联网设备的应用

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.10087

A. Anufrienko

引用次数: 2

Using Metamodeling to Represent Lean Six Sigma for IT Service Improvement 用元建模表示IT服务改进的精益六西格玛

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00034

M. Herrera, J. Hillegersberg

{"title":"Using Metamodeling to Represent Lean Six Sigma for IT Service Improvement","authors":"M. Herrera, J. Hillegersberg","doi":"10.1109/CBI.2019.00034","DOIUrl":"https://doi.org/10.1109/CBI.2019.00034","url":null,"abstract":"In today's competitive market, the need to continuously improve quality and lead time of IT services becomes more important. Over the last decades, too much complexity has been added to IT organizations after they had introduced IT frameworks like COBIT for IT Governance or ITIL for IT service management. As a result, many organizations face process inefficiencies and an increase in IT operational costs. Even though COBIT and ITIL, that we use as a reference in our research, contain continuous improvement (CI) processes and guidelines, their approach and effectiveness has been criticized. In this paper, we propose to apply Lean and Six Sigma, CI-approaches that gained popularity in other areas in industry, to CI of IT services. We use metamodeling to integrate Lean and Six Sigma to develop an integrated approach of Lean Six Sigma for CI of IT Services. Our Metamodels provide a visual representation to capture and integrate the main elements of Lean, Six Sigma, and Lean Six Sigma and model their interface with the IT Services framework. We apply metamodeling as part of a Design Science Research Methodology (DSRM) and use the Framework for Evaluation in Design Research (FEDS) to evaluate our results using practitioners in the evaluation. The objective of our research is to present a standard method for IT-Services CI. The resulting framework should support the design and implementation, in a standard way, of CI organizations to improve IT Service delivery.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121210714","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}

引用次数: 4

Formalization of Applications for Processing in the e-Commerce System 电子商务系统中处理应用程序的形式化

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.10090

R. Uskenbayeva, A. Kuandykov, Zhuldyz Kalpeyeva, Aizhan Kassymova

引用次数: 2

A Recommender System Based on Omni-Channel Customer Data 基于全渠道客户数据的推荐系统

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00015

Matthias Carnein, L. Homann, H. Trautmann, G. Vossen

{"title":"A Recommender System Based on Omni-Channel Customer Data","authors":"Matthias Carnein, L. Homann, H. Trautmann, G. Vossen","doi":"10.1109/CBI.2019.00015","DOIUrl":"https://doi.org/10.1109/CBI.2019.00015","url":null,"abstract":"Recommender systems aim to provide personalized suggestions to customers which products to buy or services to consume. They can help to increase sales by helping customers discover new and relevant products. Traditionally, recommender systems use the purchase history of a customer, e.g., the purchased quantity or properties of the items. While this allows to build personalized recommendations, it is a very limited view of the problem. Nowadays, extensive information about customers and their personal preferences is available which goes far beyond their purchase behaviour. For example, customers reveal their preferences in social media, by their browsing habits and online search behaviour or their interest in specific newsletters. In this paper, we investigate how information from different sources and channels can be collected and incorporated into the recommendation process. We demonstrate this, based on a real-life case study of a retailer with several million transactions. We discuss how to employ a recommender system in this scenario, evaluate various recommendation strategies and describe how to incorporate information from different sources and channels, both internal and external. Our results show that the recommendations can be better tailored to the personal preferences of customers.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134517089","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}

引用次数: 1

Predicting the Slide to Long-Term Homelessness: Model and Validation 预测滑向长期无家可归:模型和验证

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.00011

S. Purao, Monica J. Garfield, Xin Gu, Prakash Bhetwal

引用次数: 1

Fuzzy Model for Evaluating the Quality of Medical Care 医疗服务质量评价的模糊模型

2019 IEEE 21st Conference on Business Informatics (CBI) Pub Date : 2019-07-15 DOI: 10.1109/CBI.2019.10088

S. V. Begicheva

{"title":"Fuzzy Model for Evaluating the Quality of Medical Care","authors":"S. V. Begicheva","doi":"10.1109/CBI.2019.10088","DOIUrl":"https://doi.org/10.1109/CBI.2019.10088","url":null,"abstract":"The quality of medical care can be evaluated by three main components, which were proposed by Avedis Donabedian: the quality of structure, the quality of process and the quality of outcome. Donabedian's idea was that all three components are connected by sequential progression, i.e. the quality of structure provides for the quality of process and the quality of process provides for the quality of outcome. There are some papers on the study of causal model of structure - process - outcome, but they do not consider the assessment and analysis of the changes in the quality of care observed after certain changes in the administrative structure of a healthcare delivery unit. This paper proposes a model for evaluating the impact of changes in the structure of a healthcare delivery unit on the quality of medical care provided. The proposed method for the development and analysis of the model includes four steps: (1) sample determination and data collection; (2) data reduction by exploratory factor analysis to define the indicators for each of the dimensions of the Donabedian Model; (3) studying the indirect influence of structure changes using the apparatus of fuzzy binary relations; (4) calculating the change in the quality measures after those structure changes and modeling management scenarios. The model combines the apparatus of fuzzy binary relations with the analysis based on fuzzy cognitive modeling. The fusion of the two approaches is justified by the what-if analysis and allows define the optimal management strategy. The model is realized with data obtained by surveying ambulance patients.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125471472","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}

引用次数: 6