{"title":"Proposing a Capability Perspective on Digital Business Models","authors":"Rieke Bärenfänger, B. Otto","doi":"10.1109/CBI.2015.18","DOIUrl":"https://doi.org/10.1109/CBI.2015.18","url":null,"abstract":"Business models comprehensively describe the functioning of businesses in contemporary economic, technological, and societal environments. This paper focuses on the characteristics of digital business models from the perspective of capability research and develops a capability model for digital businesses. Following the design science research (DSR) methodology, multiple evaluation and design iterations were performed. Contributions to the design process came from IS/IT practice and the research base on business models and capabilities.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131907689","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":"Analyzing Privacy Policies Based on a Privacy-Aware Profile: The Facebook and LinkedIn Case Studies","authors":"João Caramujo, A. Silva","doi":"10.1109/CBI.2015.44","DOIUrl":"https://doi.org/10.1109/CBI.2015.44","url":null,"abstract":"The regular use of social networking websites and applications encompasses the collection and retention of personal and very often sensitive information about users. This information needs to remain private and each social network owns a privacy policy that describes in-depth how users' information is managed and disclosed. Problems arise when the development of new systems and applications includes an integration with social networks. The lack of clear understanding and a precise mechanism to enforce the statements described in privacy policies can compromise the development and adaptation of these statements. This paper proposes the extension and validation of a UML profile for privacy-aware systems. The goal of this approach is to provide a better understanding of the different privacy-related requirements for improving privacy policies enforcement when developing systems or applications integrated with social networks. Additionally, to illustrate the potential of this profile, the paper presents and discusses its application with two real world case studies - the Facebook and Linked In policies - which are well structured and represented through two respective Excel files.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442461","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}
E. Balandina, S. Balandin, Y. Koucheryavy, D. Mouromtsev
{"title":"IoT Use Cases in Healthcare and Tourism","authors":"E. Balandina, S. Balandin, Y. Koucheryavy, D. Mouromtsev","doi":"10.1109/CBI.2015.16","DOIUrl":"https://doi.org/10.1109/CBI.2015.16","url":null,"abstract":"Healthcare and tourism are among the fastest growing business domains in the world. These are biggest service industries that affect whole world population and give jobs to millions of people. Recently we witness major changes in both industries, as more services are transferred to small providers, including individual entrepreneurs and SMEs. This process is driven by huge growth in demand, which cannot be fulfilled by applying traditional solutions. The new generation of digital services reshapes landscape of both industries. Some players see it as a threat, as digital services replace their traditional business models. But fighting against progress is useless, especially when you cannot fulfill growing by old means. Internet of Things (IoT) is an integral part of the Future Internet ecosystem that will have major impact on development of healthcare and e-Tourism services. IoT provides an infrastructure to uniquely identify and link physical objects to their virtual representations in Internet. As a result any physical object can have virtual reflection in the service space. This gives an opportunity to replace actions on physical objects by operations on their virtual reflections, which can be done much faster, cheaper and more comfortable for people. This provides a huge space for developing and applying new business models. In this paper we summarize research and development results of IoT studies and discuss ideas on how to apply them to business.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178163","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":"Modeling of the Network Community Development and Its Software Infrastructure Based on Semantic Technologies","authors":"Dmitry S. Protsenko, O. Tsukanova","doi":"10.1109/CBI.2015.21","DOIUrl":"https://doi.org/10.1109/CBI.2015.21","url":null,"abstract":"The necessity of the network evolution control for communities of practice as well as its potential possibility is described. Questions of the appropriate data ware and software building are considered. A description of a software complex (including its main units) based on a semantic relationship server is provided. The main problems which are supposed to be solved using this application are marked out.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124290815","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}
Thomas Müllerleile, S. Ritter, Lucas Englisch, V. Nissen, D. Joenssen
{"title":"The Influence of Process Acceptance on BPM: An Empirical Investigation","authors":"Thomas Müllerleile, S. Ritter, Lucas Englisch, V. Nissen, D. Joenssen","doi":"10.1109/CBI.2015.11","DOIUrl":"https://doi.org/10.1109/CBI.2015.11","url":null,"abstract":"Business processes and the management thereof can create value for companies. This expected contribution of BPM may only unfold if the processes are executed as designed. The execution in itself is dependant on an initial process trigger. A decision not to trigger the business process or to modify it during execution depends on the subject's process acceptance. It is thus self-evident that ill accepted processes impact the efforts to standardize processes negatively. This paper investigates factors which influence process acceptance throughout the entire life cycle. A cycle that includes the creation, implementation, execution, and control of business processes. 21 in-depth expert interviews are used to identify these factors. Results indicate that process acceptance is formed by the organizational context, the process (model) itself, and the involved subjects. This implies a necessity of understanding social mechanisms, which influence process acceptance, in the process design phase. Especially process model properties such as fail-safe and feedback mechanisms, perceived process length, number of participants, and resource constraints are found to influence process acceptance. Further findings and insights presented in this paper should be considered during process modelling to archive higher process acceptance among relevant stakeholders.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121928928","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 Data Quality Dashboard for Reliability Data","authors":"R. Gitzel, S. Turrin, Sylvia Maczey","doi":"10.1109/CBI.2015.24","DOIUrl":"https://doi.org/10.1109/CBI.2015.24","url":null,"abstract":"Product manufacturers and equipment maintenance organizations alike desire to understand the typical failure behavior of their machinery. One common approach is to perform a RAMS (Reliability, Availability, Maintainability, and Safety) analysis. A core element of RAMS is the statistical analysis of equipment failure data. While there are many established methods based on the parameter estimation of probability distribution functions, little thought is given today on the impact of data quality issues on those estimations. This is especially problematic as such issues are quite commonplace in industrial data. In this paper, we propose a data quality dashboard which identifies data quality problems and gives concrete advice on countermeasures. The dashboard design is motivated with an explanation of typical data issues related to reliability data based on five case studies as well as a review of the status quo of data quality assessment. We use data from the case studies to illustrate the benefit of our dashboard.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"360 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125651125","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 Conceptual Model for Compliance Checking Support of Enterprise Architecture Decisions","authors":"G. Plataniotis, S. Kinderen, Qin Ma, H. Proper","doi":"10.1109/CBI.2015.46","DOIUrl":"https://doi.org/10.1109/CBI.2015.46","url":null,"abstract":"Enterprise architecture modeling languages capture holistically the structure of an enterprise. They therefore represent how the services and business processes of an organization are supported by IT infrastructure and applications. However, the reasoning behind the selection of specific design decisions in the architecture remains usually implicit. In our earlier work we proposed the EA Anamnesis approach which captures design rationalization information in the solution space of the enterprise architecture. Its major contribution is a formal metamodel that captures the reasoning behind design decisions and the relationships between them. In this paper, we extend our approach with concepts from the problem space domain of the enterprise architecture, such as goals, principles, requirements. Furthermore, we provide a bridging with the existing concepts of EA Anamnesis which are part of the solution space. In doing so, we can represent the extent to which EA design decisions, which define the EA design, comply with given goals, principles and requirements. The extension is evaluated with a real world case study within a Research and Technology Organization.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132008142","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 Ethics of Big Data: Analytical Survey","authors":"L. Voronova, N. Kazantsev","doi":"10.1109/CBI.2015.27","DOIUrl":"https://doi.org/10.1109/CBI.2015.27","url":null,"abstract":"The number of recent publications on the matter of ethical challenges of the implementation of Big Data has signified the growing interest to all the aspects of this issue. The proposed study specifically aims at analyzing ethical issues connected with Big Data.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124064242","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":"Utilizing Business Process Analysis and Feature Analysis in Software Product Assessment","authors":"M. Aleksy, D. Domis, S. Sehestedt, Marco Ulrich","doi":"10.1109/CBI.2015.22","DOIUrl":"https://doi.org/10.1109/CBI.2015.22","url":null,"abstract":"Business process analysis combined with feature analysis can provide valuable impact on software product assessment. This paper presents the results of two case studies related to this approach. The first case study describes an investigation we conducted to improve the process of collecting and tracking installed base information using an existing software product. The second case study was focusing on software product lines. In this case, we analyzed a set of existing software products with regards to assessing the reuse potential of industrial software systems. The results of the case studies show that the proposed approach is suitable and effective for software product assessment.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335306","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 Framework for Embedding Analytics in a Business Process","authors":"V. Shankararaman, Swapna Gottipati","doi":"10.1109/CBI.2015.10","DOIUrl":"https://doi.org/10.1109/CBI.2015.10","url":null,"abstract":"Competition and cost pressures are creating the need for enterprises to innovate business processes to create new business value, increase operational efficiency, and detect and respond to organizational real time challenges. In order to achieve this, in the past, most organisations have automated their manual processes using business process management technologies and enterprise systems. However, going forward, in order to stay competitive, organizations have to go beyond automating their processes, by making them more intelligent, by embedding analytics into their processes and business applications. In this paper, we propose \"Analytics Driven Business Process Improvement (ADBPI) Framework\" that provides a structure for how an organization can examine its current business process and enhance this process by embedding analytics within the process.","PeriodicalId":238097,"journal":{"name":"2015 IEEE 17th Conference on Business Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117008936","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}