商品描述
Enterprise resource planning (ERP), supply chain management (SCM), customer relationship management (CRM), business intelligence (BI), and big data analytics are business tasks and processes that are implemented using standardized software solutions. Artificial intelligence methods such as machine learning and generative AI influence and support these processes. This textbook allows students to learn, from a business perspective, how these methods are interconnected, how they influence one another, and what their limitations are. It teaches management-oriented thinking and acting, which are essential for computer scientists who work with business-process-oriented IT solutions. The third edition of this textbook introduces artificial intelligence methods for the ERP, SCM, CRM, BI, and Big Data process chain. These business tasks and processes, implemented with standardized software systems, are increasingly linked to artificial intelligence methods with varying degrees of success. Human cognitive abilities are identified as suitability criteria for evaluating and selecting AI methods for operational business areas such as procurement, production, sales, asset management, finance and accounting, human resources, etc. The fundamentals of machine learning and neural networks are supplemented by general topics related to AI. The chapters on ERP, SCM, CRM, BI, and Big Data have been largely taken from the second edition. Errors have been corrected, and additions or updates have been made to single chapters. Extensive and confusing derivations and theoretical sections have been moved to the Appendix, and a case study for a virtual company has been included to be used throughout the book. Each chapter finishes with an online true/false quiz. With at least 80% passed, it grants access to supplementary online exercises, including cognitive skill assessments, inventory management optimization, backpropagation, and supplemental online materials (videos, documents) on the author's Web page. This book is aimed at business informatics students and industry professionals, who deal with business-oriented standardized software solutions.
商品描述(中文翻譯)
企業資源規劃 (ERP)、供應鏈管理 (SCM)、客戶關係管理 (CRM)、商業智慧 (BI) 和大數據分析是透過標準化軟體解決方案實施的商業任務和流程。人工智慧方法，如機器學習和生成式 AI，影響並支持這些流程。本教科書讓學生從商業的角度學習這些方法如何相互聯繫、如何影響彼此以及它們的限制。它教授以管理為導向的思考和行動，這對於從事商業流程導向 IT 解決方案的計算機科學家來說是必不可少的。
本教科書的第三版介紹了針對 ERP、SCM、CRM、BI 和大數據流程鏈的人工智慧方法。這些商業任務和流程透過標準化的軟體系統實施，與人工智慧方法的聯繫日益增強，成功程度各異。人類的認知能力被確定為評估和選擇適用於採購、生產、銷售、資產管理、財務和會計、人力資源等運營業務領域的 AI 方法的適用性標準。機器學習和神經網絡的基本原理補充了與 AI 相關的一般主題。ERP、SCM、CRM、BI 和大數據的章節大部分取自第二版，已修正錯誤，並對單個章節進行了增補或更新。冗長且令人困惑的推導和理論部分已移至附錄，並包含了一個虛擬公司的案例研究，將在整本書中使用。每章結尾都有一個線上是非測驗，通過至少 80% 的成績可獲得補充線上練習的訪問權限，包括認知技能評估、庫存管理優化、反向傳播以及作者網頁上的補充線上材料（視頻、文件）。
本書的目標讀者是商業資訊學學生和行業專業人士，他們處理以商業為導向的標準化軟體解決方案。
作者簡介
Klaus-Dieter Gronwald is a lecturer, author, serious game developer, and founder of Kdibis Learning Games. He combines teaching at various international business schools and colleges with a career as a senior executive in the IT services industry, developing new global sourcing strategies and advanced shared services models for IT and engineering services in virtual teams. Klaus-Dieter Gronwald graduated from Leibniz University Hannover, in Germany, with a Master's and Ph.D. in Physics.
作者簡介(中文翻譯)
Klaus-Dieter Gronwald 是一位講師、作者、嚴肅遊戲開發者，以及 Kdibis Learning Games 的創辦人。他將在多所國際商學院和大學的教學與在 IT 服務業擔任高級主管的職業結合起來，專注於為虛擬團隊開發新的全球採購策略和先進的共享服務模型，涵蓋 IT 和工程服務。Klaus-Dieter Gronwald 於德國漢諾威的萊布尼茨大學獲得物理學碩士和博士學位。
