Sustainable development through data analytics and innovation : techniques, processes, models, tools, and practices
著者
書誌事項
Sustainable development through data analytics and innovation : techniques, processes, models, tools, and practices
(Progress in IS)
Springer, c2022
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis.
The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.
目次
Chapter 1. The Impact of Business Analytics on Industry, Education and Professional Development.- Chapter 2. Green Purchasing Behavior on Social Media: A Goal-framing Theory Perspective.- Chapter 3. Business Analytics and Sustainability.- Chapter 4. Data Science and External Audit.- Chapter 5. Digitalization in Passengers' Air Travel.- Chapter 6. Application of Blockchain Innovative Technology in Logistics and Supply Chain Management: A New Paradigm for Future Logistics.- Chapter 7. Industry 4.0: Drivers and Challenges in Developing the Smart Supply Chain Management.- Chapter 8. Reimaging Corporate Reporting in a Digital Economy Through Accounting Data Analytics.- Chapter 9. Responding to Covid-19 Emergency: The Packaging Machinery Sector in Italy.- Chapter 10. Achieving Sustainable Development Through Green HRM: The Role of HR Analytics.- Chapter 11. Understanding Malaysian B40 Schoolchildren's Lifestyle and Educational Patterns Using Data Analytics.
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