{"title":"Conceptual Model for SMEs' Data Maturity Assessment","authors":"Blaz Gasperlin","doi":"10.18690/978-961-286-485-9.55","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.55","url":null,"abstract":"Digital transformation has brought about a rapid shift towards a completely digital enterprise, generating a huge amount of data. Most small and medium-sized enterprises (SMEs) have data stored in different places, formats, and systems, or are unaware that it exists (Dark Data). While digital technologies are at the root of rapid data growth within and outside organizations, sharing and exchanging data between organizations presents an additional challenge. We argue that one of the barriers to the successful digital transformation of SMEs is data immaturity. The concept of data maturity has been addressed from different aspects (data quality, governance,...), in specific domains (supply chain management, manufacturing companies,...) and from the perspective of the Capability Maturity Model. However, there has been no study that has addressed a comprehensive assessment of data maturity for the SME sector as a multi-criteria problem. In this research, we propose to combine the ideas of maturity models and multicriteria decision modeling by using a design science research approach. The developed model will help SMEs assess their data maturity level and help them understand what aspects of data maturity they need to advance, what steps they need to take, and how to evaluate their progress","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122493863","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}
Bo Sichterman, Mariecke Schipper, Max Verstappen, Philippine Waisvisz, S. V. Ginkel
{"title":"The Impact of Computer-Mediated Delayed Feedback on Developing Oral Presentation Skills: an Experimental Study in Virtual Reality","authors":"Bo Sichterman, Mariecke Schipper, Max Verstappen, Philippine Waisvisz, S. V. Ginkel","doi":"10.18690/978-961-286-485-9.48","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.48","url":null,"abstract":"Previous studies emphasize that feedback is essential for acquiring presentation skills. However, it remains unknown whether computer-mediated delayed feedback, provided in Virtual Reality (VR) without the intervention of the teacher, impacts students’ public speaking skills. Recent technological developments allowed to convert quantitative information from VR-systems into qualitative feedback messages that directly relate to the standards for high-quality feedback. This experimental field study, therefore, focuses on the impact of automated, qualitative feedback messages in a VR-system on students’ presentation skills development (n = 60). The effects are compared with a validated condition in which the delayed VR-feedback is delivered by an expert. Mixed methods, including validated rubrics and self-evaluation tests, are used for data collection. This study aims to refine educational design principles concerning effective feedback in presentation curricula. Furthermore, the results should provide insights about supporting feedback processes while releasing the pressure on resources such as time and staffing.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340231","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":"Transformation of the BPMN Business Process Model into Smart Contracts for the Hyperledger Fabric Environment","authors":"Janko Hriberšek","doi":"10.18690/978-961-286-485-9.53","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.53","url":null,"abstract":"Transformation of BPMN business process model will be a very important topic in the future of the Hyperledger Fabric blockchain environment. Machine transformation can increase the quality of transformation and thus reduce errors. The research paper first describes BPMN and the Hyperledger Fabric environment, what smart contracts are and why they are so important. In the second part, the raw transformation model is described, where the inputs for the transformations are BPMN and the metadata file, and the result is a smart contract written in Java that can be imported into the Hyperledger Fabric environment.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133678675","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":"Familiarity Attracts Consumer Attention: Two Methods to Objectively Measure Consumer Brand Familiarity","authors":"Ursa Bernadic, B. Scheibehenne","doi":"10.18690/978-961-286-485-9.11","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.11","url":null,"abstract":"Brand familiarity is an important and frequently used concept in marketing research and practice. Existing measures of brand familiarity typically rely on subjective self-reports and Likert scales. Here we develop and empirically test two implicit measures to quantify brand familiarity. Based on research in visual attention and computer image processing, observers in a first visual search task are incentivized to quickly find a target brand among varying numbers of competitor brands. In the second approach, we measure the speed at which observers can identify a target brand that is gradually revealed. Both approaches are validated in preregistered experiments. Results show that reaction times predict brand familiarity on an individual level beyond conventional self-reports, even when controlling for “bottom-up” visual features of the brand logo. Our findings offer an innovative way to objectively measure brand familiarity and contribute to the understanding of consumer attention.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646512","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":"Knowledge Risks in Digital Supply Chains Proposal of a Dissertation Project at the School of Business, Economics and Social Sciences University of Graz","authors":"J. Zeiringer","doi":"10.18690/978-961-286-485-9.54","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.54","url":null,"abstract":"The digital transformation changes the way how organizations exchange data in supply chains (SC). Data traditionally shared, is enriched by detailed data sets captured by sensors in the production itself. Advanced data analytic approaches make it possible to extract knowledge from such data sets and thus increase the risk that competitive knowledge unintentionally spills over. From a knowledge management perspective, little attention is paid to such knowledge risks arising from data-centric collaborations. Hence, this proposed PhD project aims at investigating this, by using the overall method of Design Science Research. The project focuses on digital SC, as data-centric collaborations play a central role within them. To contribute to knowledge research, a framework is being sought. The elaborated framework should allow an assessment of knowledge risks and support the selection of suitable measures and it should contribute on how to support the management of knowledge risks in digital SC.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123667033","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":"Knowledge-Based Planning and Controlling with Methods of Artificial Intelligence to Increase Efficiency in IT Projects","authors":"Sascha Brüggen, A. Holland","doi":"10.18690/978-961-286-485-9.52","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.52","url":null,"abstract":"Because the success of IT projects in companies is increasingly becoming a competitive factor, this paper aims to analyze how knowledge-based tasks in an IT project can be supported with the help of artificial intelligence methods to carry out the IT project more efficiently. To answer the research question, a qualitative method in form of expert interviews will be used on the one hand and a discrete event simulation on the other hand to achieve quantitative results. In the simulation, it is intended to create a model without the use of AI elements. Under the same conditions, a project will be developed to support the knowledge-based tasks in the second step. The different constellations of the model can be adapted depending on the focus and the question. These models will be operationalized with parameters and will be compared under different constellations to measure the efficiency quantitatively. The findings of this study allow a statement whether it makes sense to support specific tasks in an IT project with the help of AI methods.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127137569","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 Prediction Model for Support in Decision-Making Process in Football Academies – Literature Review","authors":"R. Vrban","doi":"10.18690/978-961-286-485-9.57","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.57","url":null,"abstract":"Talent development process in football is considered as a process of providing the optimal environment for identifying and realising the maximum ability of young athletes. A multidimensional approach to analysing factors that influence junior to senior transition can produce much better support for coaches and management to distinguish elite and non-elite players. With development of digital technologies and artificial intelligence, more clubs are able to perform detailed analysis of their youth development programme. In this paper, we focus on identfying good practices in connecting digital technologies with talent development process in sports. Based on established methods and techniques used by experts in a field of data mining within sports, we want to select an appropriate methodology and approach in discovering knowledge from the data for the doctoral dissertation. Literature review presents a first step in a hollistic process of identifying key attributes in junior to senior transition. The findings suggest that the comprehensive approach towards analysing data in sports, results in better identification of skills and attributes of young athletes. Consequently, data mining in sports is becoming more and more important in assessing important characteristics on every level within talent development process.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126564694","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":"Monitoring Remote Service Platforms Using Artificial IntelligenceBased Distributed Intrusion Detection","authors":"T. Weber, Rüdiger Buchkremer","doi":"10.18690/978-961-286-485-9.50","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.50","url":null,"abstract":"Monitoring Remote Service Platforms Using Artificial IntelligenceBased Distributed Intrusion Detection","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128575015","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":"Impact Assesment of Open Government Data","authors":"Aljaz Ferencek","doi":"10.18690/978-961-286-485-9.56","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.56","url":null,"abstract":"Public sector organizations produce and process increasing amounts of data and the number of research and initiatives on open data is also increasing. Defining the true value of OGD is challenging without knowing how it impacts society and its economy. While the analysis of the economic benefits of open data is one way to describe the effect of government openness, the impact of open data is measured also in social and political context. Feedback mechanisms that are currently used are mostly surveys, while the number of OGD use cases is increasing. This paper proposes a preliminary model for research on assessing impact areas of OGD in an automated manner by using text mining techniques on existing use cases.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130415641","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":"Sensory-Marketing-Evaluation of E-Commerce Websites with Artificial Intelligence","authors":"K. Hamacher, Rüdiger Buchkremer","doi":"10.18690/978-961-286-485-9.51","DOIUrl":"https://doi.org/10.18690/978-961-286-485-9.51","url":null,"abstract":"Multisensory consumer engagement on e-commerce websites is technically limited to visual, acoustic, and written elements. Consumers communicate, buy, and share products and services via digital environments in which sensory information is limited. To improve consumers' online sensory experience, media types and the content need to be quantitatively assessed and adapted. This project aims to develop a quantitative model, an Online Sensory Marketing Index (OSMI), which assesses ecommerce websites in multisensory communication quality. The OSMI will be supported by an automatic procedure that is based on artificial intelligence. Content of texts, images, and videos is evaluated by natural language processing (NLP), natural language generation (NLG) as well as automatic machine learning (AutoML) procedures. Multiple e-commerce websites from various industries are examined.","PeriodicalId":161567,"journal":{"name":"34th Bled eConference Digital Support from Crisis to Progressive Change: Conference Proceedings","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129252663","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}