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Generative AI in e-Business
Details
This book constitutes revised selected papers from the 22nd Workshop on e-Business, WeB 2023, which took place in Hyderabad, India, on December 9, 2023.
The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2023 theme was Generative AI in e-Business.
The 13 full papers included in this volume were carefully reviewed and selected from a total of 46 submissions. They focus on both the transformative potential and the challenges of integrating generative AI into e-business models, paving the way for a future where AI empowers businesses and enriches lives.
Inhalt
Is Software Customization an Impediment or Enabler for Digital Transformation in the Era of Large Language Models.- The Determinants of Digital Government Transformation through Collaborative Governance.- The Impact of Online Health Misinformation on the Public.- The Cognition Cube: A Framework for Organizing AI Systems Research.- How to Strengthen Personal Cyber Security Competencies? Extending the Cyber Security Domain Model (CSDM) to Individuals: A Literature-Based Domain Analysis.- An Exploratory Analyses of Consumers' Digital Focus on Bitcoin Price and Activity.- Drivers of Perceived Value of Cryptocurrency: Comparing Stablecoins and Non-stable Cryptocurrency.- Digital Product Design and Customer Experience: Setting the Stage for Interdisciplinary Research Based on Value Co-Creation and Organizational Routines.- An Instructive Guide for Extracting Digital and IT Competence of Firms Using Natural Language Processing on Earnings Call Transcripts.- Bridging the Trust Gap in Machine Learning Automation: Enhancing End-User Confidence through Generative AI-Driven Explanations in Natural Language.- The Impact of Dark Side Personality on Consumer Online Brand Defending: A Study on Apple vs Android.- Navigating the Storm: Business Resilience in the Age of Climate Change.- ESG Risk Assessment Tool for Indian Small and Medium Enterprises.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031744365
- Lesemotiv Verstehen
- Genre Business Encyclopedias
- Editor Abhishek Kathuria, Ria Sonpatki, Bin Zhu, Prasanna P. Karhade
- Sprache Englisch
- Anzahl Seiten 196
- Herausgeber Springer Nature Switzerland
- Größe H235mm x B155mm x T11mm
- Jahr 2024
- EAN 9783031744365
- Format Kartonierter Einband
- ISBN 3031744365
- Veröffentlichung 01.11.2024
- Titel Generative AI in e-Business
- Untertitel 22nd Workshop on e-Business, WeB 2023, Hyderabad, India, December 9, 2023, Revised Selected Papers
- Gewicht 306g