M Information Systems 2nd Edition Paige Baltza Test Bank

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M Information Systems 2nd Edition Paige Baltza Test Bank.

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Product details:

  • ISBN-10 ‏ : ‎ 0073376868
  • ISBN-13 ‏ : ‎ 978-0073376868
  • Author:  Paige Baltzan

Baltzan’s approach discusses various business initiatives first and how technology supports those initiatives second. The premise for this unique approach is that business initiatives drive technology choices in a corporation. Therefore, every discussion addresses the business needs first and addresses the technology that supports those needs second. This approach takes the difficult and often intangible MIS concepts, brings them down to the student’s level, and applies them using a hands-on approach to reinforce the concepts. M: Information Systems provides the foundation that will enable students to achieve excellence in business, whether they major in operations management, manufacturing, sales, marketing, etc. M: Information Systems is designed to give students the ability to understand how information technology can be a point of strength in an organization.

Table of contents:

MODULE ONE: BUSINESS DRIVEN MIS

CHAPTER 1: Management Information Systems: Business Driven MIS

CHAPTER 2: Decisions + Processes: Value Driven Business

CHAPTER 3: Ebusiness: Electronic Business Value

CHAPTER 4: Ethics + Information Security: MIS Business Concerns

MODULE TWO: TECHNICAL FOUNDATIONS OF MIS

CHAPTER 5: Infrastructures: Sustainable Technologies

CHAPTER 6: Data: Business Intelligence

CHAPTER 7: Networks: Mobile Business

MODULE THREE: ENTERPRISE MIS

CHAPTER 8: Enterprise Applications: Business Communications

CHAPTER 9: Systems Development and Project Management: Corporate Responsibility

APPENDIXES  available as online resources

APPENDIX A: Hardware and Software Basics

APPENDIX B: Networks and Telecommunications

APPENDIX C: Designing Databases

APPENDIX D: Emerging Trends and Technologies

APPENDIX E: Connectivity: The Business Value of a Networked World

APPENDIX F: Business Intelligence and Data Mining

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