Authors:
- Covers methods and techniques concerning the data collection, operational activities, business analytics, and mobility of enterprises in the clothing industry within global value chains
- Addresses the challenges and opportunities of foreign investment in the clothing industry, and shares insights into integration in global value chains obtained through datasets and analysis
- Presents for the first time a detailed case study methodology oriented on data collection in the countries of Southeast Europe
- Includes data analyses and provides solutions for improving integration in global value chains
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 50)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
This book reveals the hidden potential of emerging economies to become the new industrial hubs in existing global value chains. Pursuing a data-centric approach, it investigates the presence of foreign direct investment as an instrument for emerging economies to promote active participation in global value chains. This approach is based on time series analyses conducted at the national and industry level, and on datasets retrieved from international databases such as EORA, ICIO, and World Integrated Solutions. The outcomes of robust statistical models indicate that export-related innovations can improve trade openness and transform emerging economies into active players in global value chains. Researchers, developers, and professionals in the field will find a comprehensive and self-contained guide to the topic.
Authors and Affiliations
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Faculty of Economics, University of Tirana, Tirana, Albania
Jolta Kacani
Bibliographic Information
Book Title: A Data-Centric Approach to Breaking the FDI Trap Through Integration in Global Value Chains
Book Subtitle: A Case Study from Clothing Manufacturing Enterprises in Albania
Authors: Jolta Kacani
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-43189-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-43188-4Published: 08 April 2020
eBook ISBN: 978-3-030-43189-1Published: 07 April 2020
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XXXII, 299
Number of Illustrations: 1 b/w illustrations, 112 illustrations in colour
Topics: Computational Intelligence, Data Engineering, Engineering Economics, Organization, Logistics, Marketing