The combination of a strong theoretical background, the extensive use of data (Big Data), and the skillful application of empirical methods is essential in the modern information age due to the complexity of the problems that the sciences are called to address.

For the first time, in this work, the theoretical background is combined with the methods of Linear Programming and the computational power of the Open Source Software R in such a way that the reader gains a strong foundation to apply business research methods using this specific software, as well as to interpret the results.

The book presents all the common methods for addressing Linear Programming problems (Simplex Method, Dual Theory, Sensitivity Analysis, Transportation Problem, Integer Programming, etc.). Additionally, all chapters are accompanied by rich material for solving.

Further advantages of this volume include the presentation and description of Data Envelope Analysis and its application to real problems regarding Efficiency and Productivity Analysis. Finally, it is worth noting that the book can be utilized by a wide range of students from various disciplines as well as by market professionals.