This contributed volume provides theoretical and empirical insights into a variety of contemporary issues about inequality, geography, and global value chains in today’s world, where global disruptions are prevalent, globalization is being transformed, and multinational enterprises (MNEs) are under pressure to promote sustainability. Many challenges and tensions created by growing inequality within and between countries, cities, and individuals, coupled with recent disruptions in the global economy, beg important questions regarding the role of MNEs. A valuable resource for scholars and students in international business, the book provides a richer understanding of how MNE activities are being affected by the complex dynamics of the modern global business environment and discusses what strategies they need to implement in order to adapt to a changing world, while accounting for the interests of a broader range of stakeholders.  

To write an accomplished program in the DATA step of SAS (R), programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS (R) DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. The book helps novices avoid common mistakes resulting from a lack of understanding fundamental and unique SAS programming concepts. It explains that learning syntax does not solve all problems; rather, a thorough comprehension of SAS processing is needed for successful programming. The author also guides readers through a programming task. In most of the examples, the author first presents strategies and steps for solving the problem, then offers a solution, and finally gives a more detailed explanation of the solution. Understanding the DATA steps, particularly the program data vector (PDV), is critical to proper data manipulation and management in SAS. This book helps SAS programmers thoroughly grasp the concept of DATA step processing and write accurate programs in the DATA step. Numerous supporting materials, including data sets and programs used in the text, are available on the book's CRC Press web page.