Fundamentals of Human Resource Management(2024 Release) (10版)
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【簡介】
Fundamentals of Human Resource Management 2024 Release provides a complete, concise introduction to human resource management for the general business manager who wants to learn more about how HRM is used in the everyday work environment. Its adaptive learning program and its engaging, focused, and applied content make it the fastest growing HRM program on the market. The authors have won numerous prestigious teaching and research awards. This, along with their teamwork and consulting experience, delivers a learning program strong in depth and breadth, and current in research and practice simply not found in other products.
【目錄】
PART I: THE HUMAN RESOURCE ENVIRONMENT
Ch 1 Managing Human Resources
Ch 2 Trends in Human Resource Management
Ch 3 Providing Equal Employment Opportunity and a Safe Workplace
Ch 4 Analyzing Work and Designing Jobs
PART II: ACQUIRING, TRAINING, AND DEVELOPING HUMAN RESOURCES
Ch 5 Planning for and Recruiting Human Resources
Ch 6 Selecting Employees and Placing Them in Jobs
Ch 7 Training Employees
Ch 8 Developing Employees for Future Success
PART III: ASSESSING AND IMPROVING PERFORMANCE
Ch 9 Creating and Maintaining High-Performance Organizations
Ch10 Managing Employees’ Performance
Ch11 Separating and Retaining Employees
PART IV: COMPENSATING HUMAN RESOURCES
Ch12 Establishing a Pay Structure
Ch13 Recognizing Employee Contributions with Pay
Ch14 Providing Employee Benefits
PART V: MEETING OTHER HR GOALS
Ch15 Collective Bargaining and Labor Relations
Ch16 Managing Human Resources Globally
原價:
1620
售價:
1539
現省:
81元
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行銷學(Foundations of Marketing)
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CUSTOMER RELATIONSHIP MANAGEMENT: THE FOUNDATION OF CONTEMPORARY MARKETING STRATEGY (2版)
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書名：CUSTOMER RELATIONSHIP MANAGEMENT: THE FOUNDATION OF CONTEMPORARY MARKETING STRATEGY 2/E
作者：BARAN
出版社：Taylor
出版日期：2016/12/00
ISBN：9781138919525
內容簡介
●Updates that take into account the latest research and changes in organizational dynamics, business-to-business relationships, social media, database management, and technology advances that impact CRM
●New material on big data and the use of mobile technology
●An overhaul of the social networking chapter, reflecting the true state of this dynamic aspect of customer relationship management today
●A broader discussion of the relationship between CRM and the marketing function, as well as its implications for the organization as a whole
●Cutting edge examples and images to keep readers engaged and interested
●A complete typology of marketing strategies to be used in the CRM strategy cycle: acquisition, retention, and win-back of customers
目錄
Part One: CRM Theory and Development
1. Introduction to Customer Relationship Management
2. The History and Development of CRM
3. Relationship Marketing and CRM
4. Organization and CRM
Part Two: Data Management and Technology
5. CRM and Data Management
6. Technology and Data Platforms
7. Database and Customer Data Development
Part Three: Marketing Strategy
8. Business-to-Business CRM
9. Understanding the Customer-Company Profit Chain: Satisfaction, Loyalty, Retention, and Profits
10. The CRM Strategy Cycle: Acquisition, Retention, and Win-Back
11. Privacy and Ethics Considerations
Part Four: CRM Evaluation
12. CRM Program Measurement and Tools
Part Five: CRM New Horizons
13. Social Networking and CRM
14. CRM Trends, Challenges, and Opportunities
原價:
1480
售價:
1406
現省:
74元
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Artificial Intelligence: Foundations of Computational Agents (3版)
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【簡介】
Introduces concepts at the right level of detail, using straightforward language and minimum mathematics
Examines the social and ethical impacts of AI, connecting techniques to real-world benefits and harms
Explains state-of-the-art algorithms and examples underlying the theory, demonstrating how concepts are applied
Provides two complementary software systems – AIPython and AILog - for experimentation and extension
Pedagogical features include examples, end-of-chapter reviews, further reading lists, and exercises
【目錄】
Part I - Agents in the World
Chapter 1 - Artificial Intelligence and Agents
Chapter 2 - Agent Architectures and Hierarchical Control
Part II - Reasoning and Planning with Certainty
Chapter 3 - Searching for Solutions
Chapter 4 - Reasoning with Constraints
Chapter 5 - Propositions and Inference
Chapter 6 - Deterministic Planning
Part III - Learning and Reasoning with Uncertainty
Chapter 7 - Supervised Machine Learning
Chapter 8 - Neural Networks and Deep Learning
Chapter 9 - Reasoning with Uncertainty
Chapter 10 - Learning with Uncertainty
Chapter 11 - Causality
Part IV - Planning and Acting with Uncertainty
Chapter 12 - Planning with Uncertainty
Chapter 13 - Reinforcement Learning
Chapter 14 - Multiagent Systems
Part V - Representing Individuals and Relations
Chapter 15 - Individuals and Relations
Chapter 16 - Knowledge Graphs and Ontologies
Chapter 17 - Relational Learning and Probabilistic Reasoning
Part VI - The Big Picture
Chapter 18 - The Social Impact of Artificial Intelligence
Chapter 19 - Retrospect and Prospect
Appendix A - Mathematical Preliminaries and Notation
Appendix B - Mapping to Open-Source Packages
原價:
1480
售價:
1376
現省:
104元
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Mathematical Foundations of Infinite-Dimensional Statistical Models (1版)
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Foundations of Computer Vision (Adaptive Computation and Machine Learning series) (1版)
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【簡介】
An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances.
Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision.
Up-to-date treatment integrates classic computer vision and deep learning
Accessible approach emphasizes fundamentals and assumes little background knowledge
Student-friendly presentation features extensive examples and images
Proven in the classroom
Instructor resources include slides, solutions, and source code
【目錄】
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