Business Intelligence and Big Data: Drivers of Organizational Success
暫譯: 商業智慧與大數據：組織成功的推動力
Olszak, Celina M.
- 出版商: Auerbach Publication
- 出版日期: 2020-11-18
- 售價: $3,630
- 貴賓價: 9.5 折 $3,449
- 語言: 英文
- 頁數: 178
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367373947
- ISBN-13: 9780367373948
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相關分類:
GAN 生成對抗網絡、大數據 Big-data
海外代購書籍(需單獨結帳)
相關主題
商品描述
The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported?
Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization.
The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as:
- Analysis and interpretation of the essence of BI and BD
- Decision support
- Potential areas of BI and BD utilization in organizations
- Factors determining success with using BI and BD
- The role of BI and BD in value creation for organizations
- Identifying barriers and constraints related to BI and BD design and implementation
The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
商品描述(中文翻譯)
二十一世紀是一個競爭加劇和數位化進程加快的時代。個別員工、管理者以及整個組織面臨著越來越大的成功壓力。我們今天面臨的問題是：成功意味著什麼？成功是偶然和運氣的結果，還是可以計劃和適當支持的一個類別？
《商業智慧與大數據：組織成功的驅動力》探討了組織的成功在很大程度上取決於預測市場、客戶和其他利益相關者挑戰的能力，以及迅速做出反應的能力。成功還與處理和分析各種信息的潛力以及使用現代信息和通信技術（ICT）的手段相關。成功還需要組織的創造性行為和智慧。
本書在現代管理範式和組織成功的背景下討論了商業智慧（BI）和大數據（BD）問題。它提供了一個理論和實證基礎的調查，研究了BI和BD在組織中的應用，並探討了以下問題：
- BI和BD本質的分析與詮釋
- 決策支持
- 組織中BI和BD利用的潛在領域
- 使用BI和BD成功的決定因素
- BI和BD在組織價值創造中的角色
- 確定與BI和BD設計和實施相關的障礙和限制
本書提出了論據和證據，證明BI和BD可能是做出更有效決策、改善業務流程和業務績效以及創造新業務的觸發因素。本書提出了一個全面的框架，說明如何設計和使用BI和BD以實現組織成功。
作者簡介
Celina M. Olszak is a professor of Computer Science and Management Information Systems. She received an MSc in Computer Science from Wroclaw University of Science and Technology and was awarded PhD and a title of professor in Management Information Systems from the University of Economics in Katowice. Currently, she is the chair of the Department of Business Informatics and a president of the Management and Quality Research Committee at the University of Economics in Katowice.
Olszak is the author of 15 books and more than 300 research papers. Her research focuses on decision support systems, knowledge management, management information systems, design of management information systems, business intelligence systems, big data, artificial intelligence as well as organizational creativity, innovation, and digital economy. She is a member of the Informing Science Institute in the USA, PGV Nework (Pays du Groupe De Vysegrad), Canadian Centre of Science and Education, the American Research Foundation's Centre for European and Middle Eastern Studies, the Polish Academy of Sciences, as well as a member of many committees of international scientific conferences and journals.
作者簡介(中文翻譯)
Celina M. Olszak 是計算機科學與管理資訊系統的教授。她在弗羅茨瓦夫科技大學獲得計算機科學碩士學位，並在卡托維茨經濟大學獲得博士學位及管理資訊系統教授的稱號。目前，她是卡托維茨經濟大學商業資訊學系的系主任，以及管理與品質研究委員會的主席。
Olszak 是 15 本書籍和超過 300 篇研究論文的作者。她的研究重點包括決策支持系統、知識管理、管理資訊系統、管理資訊系統的設計、商業智慧系統、大數據、人工智慧，以及組織創造力、創新和數位經濟。她是美國資訊科學研究所、PGV Nework（維斯格拉德國家）、加拿大科學與教育中心、美國研究基金會的歐洲與中東研究中心、波蘭科學院的成員，以及多個國際科學會議和期刊的委員會成員。
