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Titlebook: Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post; Marko Mihić,Sandra Jednak,Gordana Sa

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发表于 2025-3-21 16:44:00 | 显示全部楼层 |阅读模式
书目名称Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post
编辑Marko Mihić,Sandra Jednak,Gordana Savić
视频video
概述Presents recent research on sustainable business management and digital transformation.Covers Proceeding of the 18th International Symposium SymOrg 2022.Written by experts in the field
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post;  Marko Mihić,Sandra Jednak,Gordana Sa
描述.This book covers high-quality peer-reviewed research papers presented at the 18th International Symposium of Organizational Sciences (SymOrg 2022) held in Belgrade, Serbia, from 11 to 14 June 2022. The aim of the book is providing stimulative framework for readers to explore viable alternatives and indicate implications for the post-pandemic world. Researchers from academia and industry present their original work focusing on different aspects of sustainable management and digital transformation including blockchain technology, business analytics, e-business, innovation, digital operations and logistics management, financial industry, public administration, lean business systems, digital transformation projects, human resources, marketing and communication, and quality and standardization. The chapters could be useful for industry experts, research institutions, universities, and all others who share a common interest in contemporary organizational sciences..
出版日期Conference proceedings 2023
关键词Digital Transformation; Sustainability; Business Administration; E-Business; Innovation; Analytics; SymOrg
版次1
doihttps://doi.org/10.1007/978-3-031-18645-5
isbn_softcover978-3-031-18644-8
isbn_ebook978-3-031-18645-5Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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the observed data, and the second term represents the model complexity. The goodness ot fit terms are equivalent in both criteria, but the complexity terms are different. The complexity term is a function of model structure and the number of samples and is added in order to take into account the rel
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