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BIBLIOMETRIC ANALYSES IN DATA-DRIVEN DECISION-MAKIN
US $294.95
ApproximatelyRM 1,247.28
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
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Located in: Lansdale, PA, United States
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Estimated between Thu, 30 Oct and Fri, 7 Nov to 94104
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eBay item number:357414785175
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Educational Level
- Adult & Further Education
- Personalized
- No
- Level
- Advanced, Technical
- Country/Region of Manufacture
- United States
- ISBN
- 9781394302529
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1394302525
ISBN-13
9781394302529
eBay Product ID (ePID)
23078004382
Product Key Features
Number of Pages
720 Pages
Publication Name
Bibliometric Analyses in Data-Driven Decision-Making
Language
English
Publication Year
2025
Subject
Data Processing
Type
Textbook
Subject Area
Computers
Series
Sustainable Computing and Optimization Ser.
Format
Hardcover
Dimensions
Item Height
1.6 in
Item Weight
43.3 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Dewey Decimal
020.727
Synopsis
Bibliometric Analyses in Data-Driven Decision-Making is a comprehensive guide that will provide insights into the growth, impact, and trends within bibliometric tools and methodologies. The handbook will adopt a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses. It's a cohesive guide to navigate the complexities of bibliometric analysis. This book will accommodate a specific audience interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications in a range of areas. The book is organized into six different sections. Each chapter will include real-world examples, case studies, and step-by-step guides for applying bibliometric analysis. Section one begins with an overview of bibliometric analysis and methodologies, laying the foundation for the detailed discussion that follows. Subsequent sections explore bibliometric analysis in logistics and supply chain management, healthcare, and medicine, and its integration with multi-criteria decision-making. The book also addresses advances in artificial intelligence (AI) and machine learning and concludes with a focus on technology, sustainability, and innovation. Each section provides a thorough analysis of the literature and emerging trends within these fields., The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields. Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides. The reader will find the book: Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making; Illustrates the application of bibliometric tools in the field with real-world case studies; Provides in-depth coverage of various bibliometric indicators and metrics; Explores emerging trends and challenges in bibliometric analysis; Provides a comprehensive overview of software and tools available for bibliometric research. Audience Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.
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Seller feedback (77)
- s***s (26)- Feedback left by buyer.Past monthVerified purchaseItem as described and Fast shipping
- e***9 (1429)- Feedback left by buyer.Past monthVerified purchaseWell packaged and came in good condition.
- 7***7 (34)- Feedback left by buyer.Past 6 monthsVerified purchaseFast shipping and a secure packaging. Thank you.Mozart: Die Zauberflote (The Magic Flute) Vocal Score (#357036074979)