K. Pousttchi, Alexander Gleiss, Benedikt Buzzi, Marco Kohlhagen
{"title":"Technology Impact Types for Digital Transformation","authors":"K. Pousttchi, Alexander Gleiss, Benedikt Buzzi, Marco Kohlhagen","doi":"10.1109/CBI.2019.00063","DOIUrl":"https://doi.org/10.1109/CBI.2019.00063","url":null,"abstract":"Digital transformation is based on direct and indirect effects of the application of digital technologies and techniques on organizational and economic conditions on the one hand and new products and services on the other. Its impact can be distinguished in three dimensions: value creation model, value proposition model and customer interaction model. The paper provides a generic model that helps exploring potential cause-effect relationships between the application of digital technologies and their impact on a company along the three dimensions. Based on 75 case studies, the outcome is threefold: (1) a systematic categorization of digital technologies, (2) a set of 10 detailed impact types of digital transformation along with their subgroups, and (3) a coherent model of technologies, causes and impact types along the three dimensions of digital transformation.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"12 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":"114290799","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":"An Adaptive Park Bench System to Enhance Availability of Appropriate Seats for the Elderly: A Safety Engineering Approach for Smart City","authors":"Marvin Hubl","doi":"10.1109/CBI.2019.00049","DOIUrl":"https://doi.org/10.1109/CBI.2019.00049","url":null,"abstract":"An important part of older adults' social integration is their involvement in urban life outdoors. While going outdoors contributes to participation and well-being, older adults often avoid to go outdoors because of deteriorating health and individual perceptions of threats to their safe mobility. A particular perceived threat to safety and a crucial barrier to go outdoors is the perception of lacking appropriate seating possibilities. To mitigate this barrier, we introduce an adaptive park bench system as an innovative form of smart urban objects. The system of adaptive park benches seeks to ensure that each pedestrian has available an appropriate seat when necessary. Empty adaptive park benches are particularly appropriate due to an active assistance functionality for sitting down and standing up. We developed an AI based algorithm and validated its effectiveness by conducting a simulation of a use case scenario created with domain experts.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"84 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":"116074940","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":"Machine Classification of Pore Space for Hydrocarbon Reservoir Characterization","authors":"A. Vladova, Y. Vladov","doi":"10.1109/CBI.2019.00051","DOIUrl":"https://doi.org/10.1109/CBI.2019.00051","url":null,"abstract":"From the position of hydrocarbon storage, pores of oil-bearing rocks are divided into three groups: pores contained relatively large oil-patches (industrial reservoirs), pores contained small percentage of oil (nonindustrial reservoir) and others. The reservoir rocks have complex chemical and mineralogical compositions. This paper defines the algorithm classifying heavy-oil-bearing reservoirs, based upon physicochemical properties of rock which are related to the pore and fluid distribution. The impact of these properties had been investigated separately and in relation, one to another, particularly as they pertain to the detection and evaluation of hydrocarbon-bearing layers.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"32 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":"121008462","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":"COOC: An Agile Change Management Method","authors":"Thibault Le Grand, R. Deneckère","doi":"10.1109/CBI.2019.10093","DOIUrl":"https://doi.org/10.1109/CBI.2019.10093","url":null,"abstract":"Successful completion of the Industry 4.0 or Future Industry programs requires support for women and men to drive them. The challenge of aligning skills is complemented by the modernization of their practices and tools. All businesses are changing and change management techniques have become standard practice in most organizations. However, the so-called \"traditional\" methods are limited and it is now proposed change management methods called \"agile\", borrowing the philosophy of agile development methods to reduce the obstacles to change by injecting a bit of agility in their way of doing things. We first argue about this proposal with the results of a questionnaire to define the importance of people implication in a change project. We then propose a method based on the agile change model [1] by proposing tools adapted to each phase as well as an optimization of the experimentation phase. An evaluation of the proposed method is performed with a retrospective on a real case and the interview of an expert.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"68 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":"131410749","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}
Matthias Ehrendorfer, Juergen-Albrecht Fassmann, Juergen Mangler, S. Rinderle-Ma
{"title":"Conformance Checking and Classification of Manufacturing Log Data","authors":"Matthias Ehrendorfer, Juergen-Albrecht Fassmann, Juergen Mangler, S. Rinderle-Ma","doi":"10.1109/CBI.2019.00072","DOIUrl":"https://doi.org/10.1109/CBI.2019.00072","url":null,"abstract":"Currently, there is a gap between how data is collected on the shop floor based on resources such as machines, robots, and Autonomous Guided Vehicles (AGVs) and the manufacturing orchestration software that sits above these resources and controls their interaction from the point of the creation of single products. Shop-floor resources create data streams that are saved in databases, cleaned, and then re-contextualized, i.e., to connect the data to orders, batches, and single products. New analysis prospects arise when integrating this data and analysis methods with the process-oriented analysis perspective. This paper exploits these prospects based on a real-world case: BPMN models are created for the manufacturing of two real-world products: (1) a low volume, high complexity lower-housing for a gas turbine and (2) a high volume, low complexity, small tolerance valve lifter for a gas turbine. Instead of collecting the data independently based on the participating machines, the data collection of 30+ values is modeled into the BPMN models and enacted by a workflow engine, resulting in execution logs. Conformance checks are conducted and interpreted for the scenarios and it is shown how existing classification and clustering techniques can be used to predict good and bad parts, ex-post and potentially at run-time.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"31 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":"133518913","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":"Development of a Decision Support System for Commercial Real Estate Managers using RDS","authors":"A. Alekseev, A. Andronova, V. Spirina","doi":"10.1109/CBI.2019.10102","DOIUrl":"https://doi.org/10.1109/CBI.2019.10102","url":null,"abstract":"The relevance and necessity of the forecasting management decision problem in the field of commercial real estate management is shown. The example of sensitivity analysis complex evaluation to changes in the status of private criteria that can serve as the instrumental basis of the decision support system is given. Also, the example of sensitivity analysis and search for the optimal strategy of economic entities of shopping and entertainment complexes is shown. Screen forms of multiuser system of support of making individual management decisions in the software environment Research of Dynamic Systems are given.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"8 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":"122064063","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}
K. Nickel, F. Hasenbeck, U. Beyer, O. Ullrich, A. Zimmermann
{"title":"Assessing Organizational Complexity Using Tree-Attribute-Matrix Models","authors":"K. Nickel, F. Hasenbeck, U. Beyer, O. Ullrich, A. Zimmermann","doi":"10.1109/CBI.2019.00021","DOIUrl":"https://doi.org/10.1109/CBI.2019.00021","url":null,"abstract":"Purposefully designed organizations like businesses or public administrations tend to become more complex during their lifetime, making them increasingly harder to manage effectively. It is therefore desirable to have available methods and tools to assess the organizational complexity of a system, presenting a first step towards reducing that complexity to enable more efficient management. This paper presents the Tree-Attribute-Matrix (TAM) method of modeling systems that are designed, managed and controlled by humans, or \"human-centric\" systems. The systems are represented as a collection of interconnected tree and matrix structures annotated with attributes, that collectively enable the assessment of their complexity. In addition to describing the modeling and assessment method, the paper presents the application to a partial model of a medium-sized business, and offers some insights regarding typical challenges and lessons learned.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"22 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":"127709685","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":"Strategic Value Creation through Big Data Analytics Capabilities: A Configurational Approach","authors":"R. V. D. Wetering, Patrick Mikalef, J. Krogstie","doi":"10.1109/CBI.2019.00037","DOIUrl":"https://doi.org/10.1109/CBI.2019.00037","url":null,"abstract":"Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no means clear how they support the capacity of firms to purposefully create, extend, or modify their resource bases, i.e., dynamic capabilities (DC). This study extends current literature by exploring and elucidating various contingent big data capabilities, resources, and conditions that lead to the formation of these DCs in today's turbulent business environment. We use a qualitative approach using a cross-interview study method. Hence, we collected data through semi-structured interviews with field domain experts. In total, 27 interviews were held with key and senior informants from different firms. Co-authors analyzed the obtained data through the use of qualitative coding techniques. Our results show that there are various contingent BDAC resource solutions that drive, moderate, and condition the development of DCs. These outcomes also show that no single antecedent condition explains DCs in practice. These insights are important for firms that are becoming more data-driven. Outcomes are valuable for practice as firm executives now have insight into the process and main BDA capabilities they can focus on while planning, initiating, and evolving big data analytics projects and their digital business strategies.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"11 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":"128033634","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":"An Examination of Task-Technology Fit in Public Administration and Management: A Configurational Approach","authors":"Patrick Mikalef, H. Torvatn","doi":"10.1109/CBI.2019.00047","DOIUrl":"https://doi.org/10.1109/CBI.2019.00047","url":null,"abstract":"In spite of heavy investments in digital technologies in the public sector over the past couple of decades, one of the most important issues regarding the value realized from them is that in many cases he technologies used to support tasks of professionals are often not used as intended, or even not used at all. Apart from not perceiving any positive impacts, several studies have noted negative effects when professionals incorporate different novel technologies into their work tasks. Building the task-technology fit theory and based on a recent sample of 228 professionals working in Norwegian public administration and management bodies, this study uncovers the configurations of elements that lead to positive and negative impacts when using digital technologies to support work. We apply a fuzzy set qualitative comparative analysis (fsQCA) to demonstrate that there are several alternative configurations of tasks, technologies, and use practices that can either help produce positive impacts or create negative ones.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"40 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":"114930384","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}