Digital Economy. Emerging Technologies and Business Innovation - Bach Tobji, Mohamed Anis; Jallouli, Rim; Sadok, Hicham;(ed.) - Prospero Internet Bookshop

Digital Economy. Emerging Technologies and Business Innovation: 9th International Conference on Digital Economy, ICDEc 2024, Rabat, Morocco, May 9?11, 2024, Proceedings, Part II
 
Product details:

ISBN13:9783031763670
ISBN10:303176367X
Binding:Paperback
No. of pages:358 pages
Size:235x155 mm
Language:English
Illustrations: 17 Illustrations, black & white; 71 Illustrations, color
699
Category:

Digital Economy. Emerging Technologies and Business Innovation

9th International Conference on Digital Economy, ICDEc 2024, Rabat, Morocco, May 9?11, 2024, Proceedings, Part II
 
Edition number: 2025
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 139.09
Estimated price in HUF:
60 462 HUF (57 583 HUF + 5% VAT)
Why estimated?
 
Your price:

48 370 (46 066 HUF + 5% VAT )
discount is: 20% (approx 12 092 HUF off)
Discount is valid until: 31 December 2024
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Not yet published.
 
  Piece(s)

 
Long description:

This book constitutes the proceedings of the 9th International Conference on Digital Economy, ICDEc 2024, held in Rabat, Morocco, during May 9-11, 2024. 



The 43 full papers were carefully reviewed and selected from 117 submissions. They were categorized under the topical sections as follows:



Part I: Digital Transformation, Digital Economy and Investment, Artificial Intelligence and E-learning, E-commerce and Social Media Marketing, Exploring the Nexus of Digital and Sustainable Economies in Developing States and Digital Business Models.



Part II: Application of Machine Learning for Business, Digital Technologies and Innovative Management, Social Networks and Information Technologies, Digital Economy in Emerging Countries Mobile Banking and Digital Assets, Online Session.

Table of Contents:

Application of Machine Learning for Business.- Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs.- Modeling funding decision of industrial projects using boosting machine learning algorithms.- A Sentiment Analysis Approach for Hotels Rating.- Digital Technologies and Innovative Management.- Application of Blockchain to Human Resources Management.- Predicting Turnover Tendency of Candidates/Employees Based on Personality Assessment Tests A Data Driven Approach.- Why embrace augmented reality beauty Filters? Delving into young women's motivations.- Social Networks and Information Technologies.- Marketplace Platforms Towards a New Taxonomy.- Comparative analysis of clinical terminology servers a quest for an improved solution.- A payment architecture for decentralized data spaces based on Gaia X.- Modelling a patient identifier system in the Estonian National Health Information System.- Digital Economy in Emerging Countries.- ICT and the Digital Divide Analyzing ICT Indicators in Morocco Using PCA.- Technological digitalization model for medium sized pig farms in Mexico.- Analysis of the relationship between innovation, digitalization, and economic growth in North African countries.- Unveiling the dynamics Global Innovation Index and digital technologies corporate sophistication in emerging country institutions.- Mobile Banking and Digital Assets.- Evaluating the Role of Mobile Money in Alleviating Liquidity Deficit.- Diagnosing Mobile Banking Applications to Optimize User Experience and Engagement Method, Features and Recommendations.- The impact of internet banking adoption on the profitability of the banking industry evidence from Morocco.- Examining the impact of Bitcoin price volatility on stock markets a comparative analysis between ARDL and NARDL approaches.- Online Session.- When the artificial revolutionizes the reality Focus on this new trend of Virtual Influencers.- Search Engine Gender Bias Cross Cultural Analysis.- Delving into the Shadows of Artificial Intelligence in Green Marketing.