An examination of the global supply chain from a strategic perspective that also addresses the sustainability concerns which arise in this arena.Useful for professionals and practitioners working in supply chains, company management and global marketing as well as students studying operations management, international business and international economics.
Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Techniques and best practices using data science to create value, deliver compelling narratives, and build a business case using economics principles.
A brief introduction exploring machine learning in a range of disciplines and its broader impact on our society.
Business news and analysis. Peer-reviewed research. Industry reports by country. Part of Proquest Databases. Read more about this resource or visit the help page.
Business news and analysis. Peer-reviewed research. Case studies and SWOT analyses. Country reports. Includes Harvard Business Review. Read more about this resource or watch a how-to video.
U.S., China, Canada, and global industry market research and company benchmarking reports. Funded by the College of Business Administration. Read more about this resource.
This ebook and video collection covers a wide range of IT topics: software development, system administration, security, business, web and mobile, and career development.
Access datasets from AuditAnalytics, Compustat, CRSP, Dow Jones, Federal Reserve Bank, MSRB, OTC Markets, and others. Funded by the College of Business Administration. Free account registration required of all users. Undergraduate students, please register for a “Masters/Undergraduate Student” account. If you have any questions, please email Business Librarian Julie Shen (jshen@cpp.edu) and copy Associate Dean Cheryl Wyrick (crwyrick@cpp.edu).
When creating your project, remember to cite everything you did not write / create / think up on your own, including images / graphs / charts / maps / datasets you borrow from online sources. Below are some tools to help you cite your sources correctly.
To see examples, visit the following websites:
To learn more about the importance of academic integrity, please see
