東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Digital business management = transforming to a data-driven organization using AI /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital business management/ by Swen Schneider, Lutz Anderie.
Reminder of title:	transforming to a data-driven organization using AI /
Author:	Schneider, Swen.
other author:	Anderie, Lutz.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiv, 250 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Effective AI Prompting -- From E Business to Digital Business -- Digital Business Strategies -- Digital Infrastructure -- ECommerce Shops and Web Presence -- Digital Marketing and Advertising -- Social and Mobile Commerce with Location Based Services -- Content Management Online Media Ethics and Fake News -- Digital Business to Business Integration -- Digital Business Analysis and Digital Transformation -- Industry and Business Cases.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Business applications. -
Online resource:	https://doi.org/10.1007/978-3-031-83177-5
ISBN:	9783031831775

Digital business management = transforming to a data-driven organization using AI /
Schneider, Swen.

Digital business managementtransforming to a data-driven organization using AI /[electronic resource] :by Swen Schneider, Lutz Anderie. - Cham :Springer Nature Switzerland :2025. - xiv, 250 p. :ill. (chiefly color), digital ;24 cm.

Effective AI Prompting -- From E Business to Digital Business -- Digital Business Strategies -- Digital Infrastructure -- ECommerce Shops and Web Presence -- Digital Marketing and Advertising -- Social and Mobile Commerce with Location Based Services -- Content Management Online Media Ethics and Fake News -- Digital Business to Business Integration -- Digital Business Analysis and Digital Transformation -- Industry and Business Cases.

This book is a concise guide on using generative artificial intelligence to drive digital business management and transformation. It is divided into three parts. The first part, "How to Work with AI and Generate Success in Business," outlines the core concepts of artificial intelligence and prompt engineering and explores how these can be leveraged in a business environment. It places special emphasis on the AI Prompt Schema (AIPS) for structured prompting. The second part, "From Digital Business to a Data-Driven Organization," focuses on the essential knowledge and advanced techniques for successful Digital Business Management. It covers relevant topics, including digital business strategies, digital infrastructure, e-commerce, digital marketing and advertising, content management, the metaverse, and more. The third part, "Industry and Business Case Prompt Engineering," demonstrates how the concepts, knowledge, and techniques can be applied in real-world scenarios. This includes technology companies like Waymo, Tesla, Google/Alphabet, Meta/Facebook, Microsoft/LinkedIn, OpenAI/ChatGPT, and Google/Gemini, as well as e-commerce giants like Amazon, Alibaba, Temu, Shein, and Otto, and entertainment platforms like Netflix, Sony PlayStation, and Spotify. Drawing from many years of experience in business practice and university teaching, the authors include interactive elements such as video tutorials to support learning and the practical application of the concepts outlined. This book will be valuable to anyone interested in expanding their knowledge of digital business strategies, particularly practitioners, students, entrepreneurs, and executives.

ISBN: 9783031831775

Standard No.: 10.1007/978-3-031-83177-5doiSubjects--Topical Terms:

3785910
Artificial intelligence
--Business applications.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.0563

Digital business management = transforming to a data-driven organization using AI /
LDR:03140nmm a2200325 a 4500 001 2411415
003 DE-He213
005 20250522094744.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031831775 $q (electronic bk.)
020 $a 9783031831768 $q (paper)
024 7 $a 10.1007/978-3-031-83177-5 $2 doi
035 $a 978-3-031-83177-5
040 $a GP $c GP
041 0 $a eng
050 4 $a HF5548.2
072 7 $a KJE $2 bicssc
072 7 $a BUS090000 $2 bisacsh
072 7 $a KJE $2 thema
082 0 4 $a 658.0563 $2 23
090 $a HF5548.2 $b .S359 2025
100 1 $a Schneider, Swen. $3 3785908
245 1 0 $a Digital business management $h [electronic resource] : $b transforming to a data-driven organization using AI / $c by Swen Schneider, Lutz Anderie.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiv, 250 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Effective AI Prompting -- From E Business to Digital Business -- Digital Business Strategies -- Digital Infrastructure -- ECommerce Shops and Web Presence -- Digital Marketing and Advertising -- Social and Mobile Commerce with Location Based Services -- Content Management Online Media Ethics and Fake News -- Digital Business to Business Integration -- Digital Business Analysis and Digital Transformation -- Industry and Business Cases.
520 $a This book is a concise guide on using generative artificial intelligence to drive digital business management and transformation. It is divided into three parts. The first part, "How to Work with AI and Generate Success in Business," outlines the core concepts of artificial intelligence and prompt engineering and explores how these can be leveraged in a business environment. It places special emphasis on the AI Prompt Schema (AIPS) for structured prompting. The second part, "From Digital Business to a Data-Driven Organization," focuses on the essential knowledge and advanced techniques for successful Digital Business Management. It covers relevant topics, including digital business strategies, digital infrastructure, e-commerce, digital marketing and advertising, content management, the metaverse, and more. The third part, "Industry and Business Case Prompt Engineering," demonstrates how the concepts, knowledge, and techniques can be applied in real-world scenarios. This includes technology companies like Waymo, Tesla, Google/Alphabet, Meta/Facebook, Microsoft/LinkedIn, OpenAI/ChatGPT, and Google/Gemini, as well as e-commerce giants like Amazon, Alibaba, Temu, Shein, and Otto, and entertainment platforms like Netflix, Sony PlayStation, and Spotify. Drawing from many years of experience in business practice and university teaching, the authors include interactive elements such as video tutorials to support learning and the practical application of the concepts outlined. This book will be valuable to anyone interested in expanding their knowledge of digital business strategies, particularly practitioners, students, entrepreneurs, and executives.
650 0 $a Artificial intelligence $x Business applications. $3 3785910
650 1 4 $a E-Business. $2 stw $3 1485464
650 2 4 $a Business Information Systems. $3 892640
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Anderie, Lutz. $3 3785909
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-83177-5
950 $a Business and Management (SpringerNature-41169)