Implementing Decision Support Systems in Developing Countries

1989 ◽  
Vol 89 (7) ◽  
pp. 21-26 ◽  
Author(s):  
Ming‐te Lu ◽  
Ching‐cha Hsieh ◽  
Chien‐chun Pan
2020 ◽  
pp. 264-303
Author(s):  
Chrispin Pettang ◽  
Marcelline Blanche Manjia ◽  
F. Henry Abanda

It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.


The construction industry is one of the most important sectors in the economy of each country. However, it has been noted with a multiplicity of problems that have negative impacts on efficiency, productivity and quality. While these problems are being tackled in the developed countries using advanced decision support systems, knowledge of such systems applied to construction projects in developing countries is sketchy. Being a general introductory chapter, this chapter will sign-post everything covered in this book.


In Chapter 2, an overview of construction practices in developing countries was presented. It is now well-established that the industry faced enormous challenges. To overcome these challenges and hence improve efficiency and productivity requires a deeper understanding of the challenges. In this chapter, the main challenges related to construction material and equipment, man-power and management will be examined. The consequences of these challenges which often lead cost overruns and delays will be discussed. The aim of this chapter is to provide a deeper understanding of these challenges so as to inform the choice of the decision support systems to be used in the subsequent chapters.


Author(s):  
Rafael Moreno-Sánchez ◽  
Juan Manuel Torres-Rojo

In the last 25 years there have been several efforts to create Decision Support Systems (DSS) for management of the forests in Mexico. Few references exists that document these experiences and that can assist in understanding their genesis, evolution, successes, shortcomings, or failures, as well as the factors that have led to these outcomes. This chapter fills this gap by presenting an overview of the DSS that have been created since the mid 1980’s. The characteristics of the Mexican forest ecosystems and the complex web of interactions and co-evolution of the contexts that frame the forestry activities in Mexico have influenced the characteristics, evolution, and current state of the art of the DSS for the management of the forest in the country. Similar characteristics and contexts are commonly found in developing countries around the world. Hence, the experiences, lessons, and recommendations for future developments presented in this chapter can be of value beyond the specific conditions of the Mexican forestry sector.


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