Dissertations and Theses @ UNI


Open Access Dissertation


Renewable energy sources--Saudi Arabia; Technology transfer--Saudi Arabia; Delphi method;


Saudi Arabia is a major oil-producing nation facing a rapidly-growing population, high unemployment, climate change, and the depletion of its natural resources, potentially including its oil supply. Technology transfer is regarded as a means to diversify countries' economies beyond their natural resources. This dissertation examined the opportunities and barriers to utilizing technology transfer successfully to build renewable energy resources in Saudi Arabia to diversify the economy beyond oil production. Examples of other developing countries that have successfully used technology transfer to transform their economies are explored, including Japan, Malayasia, and the United Arab Emirates. Brazil is presented as a detailed case study to illustrate its transition to an economy based to a much greater degree than before on renewable energy.

Following a pilot study, the Delphi Method was used in this research to gather the opinions of a panel of technology transfer experts consisting of 10 heterogeneous members of different institutions in the Kingdom of Saudi Arabia, including aviation, telecommunication, oil industry, education, health systems, and military and governmental organizations. In three rounds of questioning, the experts identified Education, Dependence on Oil, and Manpower as the 3 most significant factors influencing the potential for success of renewable energy technology transfer for Saudi Arabia. Political factors were also rated toward the "Very Important" end of a Likert scale and were discussed as they impact Education, Oil Dependence, and Manpower. The experts' opinions are presented and interpreted. They form the basis for recommended future research and discussion of how in light of its political system and its dependence on oil, Saudi Arabia can realistically move forward on renewable energy technology transfer and secure its economic future.

Year of Submission


Degree Name

Doctor of Industrial Technology


Department of Industrial Technology

First Advisor

John Fecik

Date Original


Object Description

1 PDF file (vi, 128 pages)



File Format