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Innovation through information syste...

Ahlemann, Frederik.

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Innovation through information systems.. Volume II,. A collection of latest research on technology issues

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Innovation through information systems./ edited by Frederik Ahlemann, Reinhard Schutte, Stefan Stieglitz.
其他題名:	Collection of latest research on technology issues
其他作者:	Ahlemann, Frederik.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xix, 773 p. :ill. (some col.), digital ;24 cm.
內容註:	Data Science & Business Analytics -- Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety -- Knowledge Sharing in Digital Platform Ecosystems - A Textual Analysis of SAP's Developer Community -- Leveraging Natural Language Processing to Analyze Scientific Content: Proposal of an NLP pipeline for the field of Computer Vision -- Hybrid Recommender Systems for Next Purchase Prediction Based on Optimal Combination Weights -- Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism -- A Holistic Framework for AI Systems in Industrial Applications -- Managing Bias in Machine Learning Projects -- Design, Management and Impact of AI-based Systems -- User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research.
Contained By:	Springer Nature eBook
標題:	Information technology - Management. -
電子資源:	https://doi.org/10.1007/978-3-030-86797-3
ISBN:	9783030867973

Innovation through information systems.. Volume II,. A collection of latest research on technology issues
Innovation through information systems.Volume II,A collection of latest research on technology issues[electronic resource] /Collection of latest research on technology issuesedited by Frederik Ahlemann, Reinhard Schutte, Stefan Stieglitz. - Cham :Springer International Publishing :2021. - xix, 773 p. :ill. (some col.), digital ;24 cm. - Lecture notes in information systems and organisation,v. 472195-4976 ;. - Lecture notes in information systems and organisation ;v. 47..

Data Science & Business Analytics -- Information Extraction from Invoices: A Graph Neural Network Approach for Datasets with High Layout Variety -- Knowledge Sharing in Digital Platform Ecosystems - A Textual Analysis of SAP's Developer Community -- Leveraging Natural Language Processing to Analyze Scientific Content: Proposal of an NLP pipeline for the field of Computer Vision -- Hybrid Recommender Systems for Next Purchase Prediction Based on Optimal Combination Weights -- Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism -- A Holistic Framework for AI Systems in Industrial Applications -- Managing Bias in Machine Learning Projects -- Design, Management and Impact of AI-based Systems -- User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research.

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.

ISBN: 9783030867973

Standard No.: 10.1007/978-3-030-86797-3doiSubjects--Topical Terms:

572739
Information technology
--Management.

LC Class. No.: HD30.2 / .I55 2021

Dewey Class. No.: 004.068

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