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Titlebook: Innovation Through Information Systems; Volume II: A Collect Frederik Ahlemann,Reinhard Schütte,Stefan Stieglit Conference proceedings 2021

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发表于 2025-3-21 18:38:32 | 显示全部楼层 |阅读模式
书目名称Innovation Through Information Systems
副标题Volume II: A Collect
编辑Frederik Ahlemann,Reinhard Schütte,Stefan Stieglit
视频video
概述Offers insight into leading contemporary research on information systems.Discusses relevant issues of information systems usage in times of global crisis and digital transformation.Provides an overvie
丛书名称Lecture Notes in Information Systems and Organisation
图书封面Titlebook: Innovation Through Information Systems; Volume II: A Collect Frederik Ahlemann,Reinhard Schütte,Stefan Stieglit Conference proceedings 2021
描述.This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. ..This volume gathers the revised and peer-reviewed papers on the topic "Technology" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021..
出版日期Conference proceedings 2021
关键词Information systems research; Business information systems; Digital innovation; Digital services; Digita
版次1
doihttps://doi.org/10.1007/978-3-030-86797-3
isbn_softcover978-3-030-86796-6
isbn_ebook978-3-030-86797-3Series ISSN 2195-4968 Series E-ISSN 2195-4976
issn_series 2195-4968
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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User-Specific Determinants of Conversational Agent Usage: A Review and Potential for Future Researchpact of these user-specific concepts on individuals’ decision to use CAs to eventually inform the design of CAs that facilitate users’ acceptance, adoption, and use. This paper intends to contribute to the body of knowledge about the determinants of CA usage.
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Voice Assistants in Voice Commerce: The Impact of Social Cues on Trust and Satisfactionand integrity. Surprisingly, users had less trust in the integrity of a VA with more social cues. For a differentiated view, a more in-depth analysis of the individual cues and their interactions is required.
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Design of Artificial Neural Networks for Traffic Forecasting in the Context of Smart Mobility Solutiether the enrichment of the training data with additional time and weather data enables an increase of the forecast accuracy. In the sense of a design-theoretical approach, design requirements and design principles for the development of an ANN in a traffic-specific context are derived.
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Through the Cognitive Functions Lens - A Socio-technical Analysis of Predictive Maintenanceligence. In particular, it can aid the allocation of tasks between human agents and artificial intelligence-based systems and the design of human-AI hybrids. It is particularly helpful for those who investigate the management of artificial intelligence.
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The Evaluation of the Black Box Problem for AI-Based Recommendations: An Interview-Based Studyinterviews with experts from recruiting and AI. Our results show that the perception of the black box problem conceptualized by the awareness and the evaluated relevance relates to the user’s attitude toward AI-based recommendations. Further, we show that the use context has a moderating effect on that relation.
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2195-4968 global crisis and digital transformation.Provides an overvie.This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on inform
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Leveraging Natural Language Processing to Analyze Scientific Content: Proposal of an NLP Pipeline foondly, we conducted a case study where we used our proposed natural language processing pipeline to analyze scientific content about computer vision available at the database IEEE. Our method helped us to identify emerging trends in the recent years and give an overview of the field of research.
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