Information Technology Investment: Decision-making Methodology, 2/e (Hardcover)
暫譯: 資訊科技投資：決策方法論，第2版（精裝本）

<內容簡介>

From the individual to the largest organization, everyone today has to make investments in IT. Making a smart investment that will best satisfy all the necessary decision-making criteria requires careful and inclusive analysis. This textbook provides an up-to-date, in-depth understanding of the methodologies available to aid in this complex process of multi-criteria decision-making. It guides readers on the process of technology acquisition — what methods to use to make IT investment decisions, how to choose the technology and justify its selection, and how the decision will impact the organization.

Unique to this textbook are both financial investment models and more complex decision-making models from the field of management science so that readers can extend the analysis benefits to enhance and confirm their IT investment choices. The wide range of methodologies featured in the book gives readers the opportunity to customize their best-fit solutions for their unique IT decision situation. This textbook is especially ideal for educators and students involved in programs dealing with technology management, operations management, applied finance, operations research, and industrial engineering.

 <章節目錄>

Preface

List of Tables and Figures

Part I Introduction to Information Technology Investment
Decision-Making Methodology

Chapter 1 Introduction to Information Technology Investment
Decision-Making

Chapter 2 Needs Analysis and Alternative Information Technology
Investment Strategies

Chapter 3 Measuring Information Technology Investment Performance

Part II Financial Information Technology Investment Methods

Chapter 4 Basic Financial Methods

Chapter 5 Other Financial Methodologies

Chapter 6 Cost/Benefit Analysis

Part III Multi-Criteria Information Technology Decision-Making Methods

Chapter 7 Critical Success Factors, Delphi Method and the Balanced
Scorecard Method

Chapter 8 Multi-Factor Scoring Methods and the Analytic
Hierarchy Process

Chapter 9 Decision Analysis and Multi-Objective Programming
Methods