2019 IEEE 21st Conference on Business Informatics (CBI)最新文献

{"title":"Assessing IT Business Value using Catalogues","authors":"Ricardo Tulio Gandelman, C. Cappelli, F. Santoro","doi":"10.1109/CBI.2019.00032","DOIUrl":"https://doi.org/10.1109/CBI.2019.00032","url":null,"abstract":"Organizations make large investments in IT, so the value added to the business needs to be understood in order to justify such investments. The IT business value concept is complex, multifaceted, with a certain level of abstraction and intangibility, and with effects that may only be observed after a long period of the technology deployment Although the IT business value theme is yet indubitably relevant, as our literature review has shown, there is still a gap in the existent models, i.e., there is no proposition that addresses all tangible and intangible IT business value facets, able to estimate it. Therefore, we propose a comprehensive qualitative model, whose goal is to represent and organize all value characteristics that an IT initiative may create in an organization, helping to justify investments and even making it possible to compare the aggregated value of different technology options in a selection process. This model organizes the characteristics that contribute to the IT business value, evidencing their relationships and offering high-level prescriptions on how organizations can implement these characteristics in their context when adopting information technologies. We used the idea of Catalogues from Software Engineering to represent this model, and built it based on 84 research papers, providing 58 IT business value characteristics. We claim that the proposed Catalogue contributes to the IT Business Value research, as well as being itself a technological contribution. The Catalogue can support the organizations to better understand the impact of their IT initiatives and justify IT investments.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122163735","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}

{"title":"Application of the Matrix Rating Mechanisms and System Cognitive Analysis Methods at the Task of Residential Real Estate Conceptual Designing","authors":"A. Alekseev, E. Galiaskarov, K. Koskova","doi":"10.1109/CBI.2019.10105","DOIUrl":"https://doi.org/10.1109/CBI.2019.10105","url":null,"abstract":"conceptual designing a residential real estate is a task of strategic planning at the early stage of the project, which includes analysis of the real estate market and identification of consumer preferences. The concept of the real estate property defines a set of features that a real estate object should possess, e.g., location, infrastructure, engineering equipment, etc. The concept of the future building (complex of buildings and structures), including its external and internal infrastructure, must comply with consumer preferences. One way to solve the conceptual designing task is to use matrix rating mechanisms for aggregation of real estate object features. It makes possible to find such combination of residential real estate object features that would maximize the level of the object attractiveness for the consumer at a predetermined budget, or would minimize construction costs at a predetermined level of the object attractiveness. Convolution matrixes are created taking into account consumer preferences. That approach is demonstrated on the example of a ten-storied residential tower, where the factors influencing the choice of consumers are location, apartment improvement, building infrastructure and the group of solidity. These methods of modeling consumer preferences allow forming the concept of the future building which satisfies most of the needs and desires of the real estate market players. Though the proposed approach has many advantages, its disadvantages are the time-consuming process of interviewing real estate market participants in order to identify their preferences, as well as a possible distortion of information in the process of interviewing, including an unperceived distortion. To address this problem, it is proposed to identify five aggregated indicators: quality of the apartment, quality of the house, quality of the residential complex, quality of the area and reputation of the developer. This will require identification of only four matrixes of convolution to create a rating mechanism of residential real estate's consumer appeal. But each aggregated indicator should contain a detailed ontological description using a set of unique attributes sufficient to differentiate them, i.e., classification by their quality. This task can be solved with system analysis methods based on the information theory. All necessary calculating and computer modeling can be made in the special computer programs - universal cognitive analytics system \"Eidos\" and a web-based program for rating and control mechanisms designing \"Business-dekon\".","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131703802","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}

{"title":"A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture","authors":"M. Anwar, A. Gill","doi":"10.1109/CBI.2019.00018","DOIUrl":"https://doi.org/10.1109/CBI.2019.00018","url":null,"abstract":"A dynamic digital ecosystem is an interrelated network of organisations, people and/or entities that interact and collaborate for value co-creation. The challenge is how to effectively model the digital ecosystems operating in a highly complex and dynamic environment. There are several modelling approaches to choose from. There is a need to evaluate the existing modelling approaches to support the modelling of digital ecosystems. This paper evaluates the scope and coverage of the selected seven modelling approaches (Adaptive Enterprise Architecture, ArchiMate, TOGAF, FAML, ISO/IEC/IEEE 42010, SABSA, and ITIL) for modelling the digital ecosystems. Adaptive enterprise architecture is taken as a reference architecture for this review due to its higher relevance to digital ecosystem layers. The results of this review indicate that every modelling methodology is different in scope and coverage and demands the integration and tailoring of a context specific modelling approaches to provide the type of support needed for digital ecosystems.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747175","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}

{"title":"Notion of Graph Entanglement and Its Application for Stock Market Analysis","authors":"A. Rubchinsky","doi":"10.1109/CBI.2019.00012","DOIUrl":"https://doi.org/10.1109/CBI.2019.00012","url":null,"abstract":"The graph is one of the most convenient and widespread models of many real and formal systems. Indeed, this relatively simple notion turns out to be very useful in study, analysis and presentation of numerous systems, modeled by graphs. Various properties of modeled systems, sometimes indistinct and uncertain, are expressed as formal properties of modeling graphs. The property of graphs, introduced in the presented article, is just of this kind. It has different meaningful interpretations in different situations, but generally it describes complexity, entanglement, perplexity, intricacy and other hardly defined, though important, properties of various systems. The introduced notion, named as graph entanglement, turns out to be useful, in particular, for analysis of stock market behavior. This special application seems important and perspective; its first detailed presentation is the main goal of the article. The applications of the notion of graph entanglement in other domains are demonstrated in publication [1 — 4] and are not considered here.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"14 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125607968","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}

{"title":"The Critical Role of Hospital Information Systems in Digital Health Innovation Projects","authors":"Tim Scheplitz, Stefanie Kaczmarek, Martin Benedict","doi":"10.1109/CBI.2019.00066","DOIUrl":"https://doi.org/10.1109/CBI.2019.00066","url":null,"abstract":"Societal demand and political support still drive researchers and practitioners to work in numerous initiatives to create Digital Innovations (DI) in healthcare. Despite all support, the problem of unsuccessful or not-satisfying translation of project outputs into the healthcare reality remains. One critical aspect is the integration of a DI into evolved Hospital Information Systems (HIS). As DI projects often are conducted in practice research consortia, such projects can provide close insights into real-world settings. Therefore, a rigor analysis is necessary, which we perform using the Action Design Research approach that helps to analyze the role of HIS in DI projects for healthcare. The main contribution of this paper is the detailed description of a context-specific framework for the formalization of learning plus a systematic presentation of enablers and barriers of DI projects in healthcare. The framework matches both a project management perspective by considering different stages of a DI project and an interoperability perspective as an overall key factor for successful implementation.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123251127","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}

{"title":"The Determinants of Credit Cycle and Its Forecast","authors":"N. Dyachkova, A. Karminsky, Y. Kareva","doi":"10.1109/CBI.2019.00043","DOIUrl":"https://doi.org/10.1109/CBI.2019.00043","url":null,"abstract":"In our research, we study what macroeconomic factors drive and influence the credit cycle. Also, our study contains four sections with theoretical and empirical parts, in which we describe how to measure credit cycles for developed and developing countries, and then we introduce an important indicator credit gap. Our results show the comparative analysis of credit cycles between different countries with various economic growth, and we built up an econometric model, which shows us the impact of macroeconomic factors according to credit cycles for developing and developed economies.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121034755","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}

{"title":"Exploring the Complex Relationship Between Alignment and Company's Performances","authors":"Fabrizio Amarilli","doi":"10.1109/CBI.2019.00029","DOIUrl":"https://doi.org/10.1109/CBI.2019.00029","url":null,"abstract":"The enduring interest of scientific and practice oriented literature in the alignment between business and IT is based on the supposed impact that alignment exerts on company's performances. The topic has been repeatedly addressed in the literature, generating different and sometimes conflicting results. In our study we adopt a process oriented conceptualization of alignment and a complexity science view of a company to investigate the relationship between the alignment process and company's performances. The study is conducted through a multi-case study methodology that involved four companies implementing alignment processes. We found that corporate performances are influenced by the type of complexity, structural and dynamic, enabled by the alignment process and that two constructs, infrastructure sophistication and business agility, determine the type of complexity. The contribution of the paper is both theoretical, as it extends previous alignment literature exploiting a complexity science perspective, and for practice, as it contributes to unravel the relationship between alignment and performances providing suggestions on how to improve the efficacy of the alignment process.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128337539","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}

{"title":"Towards Configurable Composite Data Quality Assessment","authors":"P. Ceravolo, E. Bellini","doi":"10.1109/CBI.2019.00035","DOIUrl":"https://doi.org/10.1109/CBI.2019.00035","url":null,"abstract":"The growing availability of data over the last decades has given rise to a number of successful technologies, ranging from data collection and storage infrastructures to hardware and software tools for efficient computation of analytics. This context, in principle, places a great demand on data quality. As a matter of fact, experience has shown that the open Web and other platforms hosting user-generated content or real-time data can provide little quality control at content production time. To address these challenges, our aim is to provide a general and configurable model for assessing data quality supporting task composition. In particular, we introduce a model characterized along the notion of matching, illustrating the issues that can be addressed by this approach with a concrete case study. We also identify and discuss challenges to be addressed in future research to strengthen this idea.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121636362","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}

{"title":"Artificial Intelligence Tools for Business Applications: Objective Map of Science and Analysis of Texts","authors":"M. Kreines, E. Kreines","doi":"10.1109/CBI.2019.00058","DOIUrl":"https://doi.org/10.1109/CBI.2019.00058","url":null,"abstract":"Business is looking for technological and investment possibilities in research and development (R&D). Here the basic problems are to find R&D's results and/or teams for solving the professional tasks and for making investment. But business has no personal view on scientific problems. So business is seeking the objective tools for forecasting and evaluation of R&D prospects and results. Experts have own interests and require a lot of funding. R&D reflections are the texts. The modern methods of computer analysis of texts can do a lot of the experts' work for making it more objective and cheaper. The tools for search, systematization and ranking R&D's results and teams are computer analysis of texts and the map of science. The map of science is the distribution of the collection of texts of a scientific nature by the topics. The map of science is a way to navigate through the world of scientific publications and R&D's teams, a tool for identifying trends and assessing R&D directions. The usual ways for the map of science formation use bibliometric/scientometric data, general probability models of the texts, expert's opinion or artificial intelligence (AI) models and methods based on the thesaurus or on the ontology of the subject domains. The interests of business are not in line with the orientation on a priori established ideas about possible topics or there number for rapidly changing scientific fields. Precisely these fields are of the greatest interest to business. On the basis of mathematical modeling of texts and large-scale text collections, an approach is proposed for the computational formation of the adaptive dynamic map of science that does not use a priori classification schemes and data of the scientific publications' citation. Topics (thematic groups), their number and the distribution of texts over the topics are determined computationally without experts' involvement. Examples of the maps of science for various collections of scientific publications are given. The original method is proposed for checking the adequacy of the text models and the map of science. The method uses the categorization of articles and their abstracts as the separate objects on the basis of computationally generated map (its topics). The results of the large-scale experiment confirmed the high efficiency of the proposed mathematical modeling of texts and text collections. The possibilities of practical use of the map of science for business applications are considered.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364613","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}

{"title":"[Publisher's information]","authors":"","doi":"10.1109/cbi.2019.00078","DOIUrl":"https://doi.org/10.1109/cbi.2019.00078","url":null,"abstract":"","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124726099","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}