Document Details

Document Type : Thesis 
Document Title :
USING AHP AND TOPSIS METHODS FOR DECISION MAKING OF CANDIDATES’ SELECTION FOR BUSINESS ACCELERATOR PROGRAM
استخدام طرق التحليل الهرمى والمقارنة المرجعية لاتخاذ القرار عند اختيار المرشحين لبرنامج مسرعة الأعمال
 
Subject : faculty of Engineering 
Document Language : Arabic 
Abstract : On 25th of April 2016, Crown Prince Mohammed bin Salman announced the country's new vision, which called as "Vision 2030". It focuses on changing the economic infrastructure of the whole Country. The new vision's main goal is to diversify the oil income by investing in new projects or businesses to encourage Saudi people to start their own businesses. To be in line with the said vision, Jeddah Community College at King Abdulaziz University has set up a Business Accelerator (KAUACC) program to provide assistance, support and educate the entrepreneurs who lack the experience, human and financial resources to transform their projects and ideas into new products and companies that can enter and compete in the markets. The Business Accelerator members had a hard time to choose between candidates, as there were many good ideas and projects. In this research study, the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods will be applied to choose the best candidates out of everyone who applied based on multi-decision making criteria This thesis consists of six chapters. Chapter 2 presents an overview of the Multi-Criteria Decision Making (MCDM) techniques with a concentration on AHP and TOPSIS concepts. Chapter 3 handles the literature review related to the applications of AHP and TOPSIS in different sectors. Chapter 4 illustrates the case study at College of Community at King Abdulaziz University that portrays the problem faces the decision makers for business accelerator candidates’ selection. This chapter, also, describes the current selection process with the required data for the next chapter. Chapter 5 drives the implementation of the proposed AHP and TOPSIS models with the results obtained. The conclusions will be given in chapter 6 with recommendations for other future studies. 
Supervisor : Dr. Hameed Abdul Zubar 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2020 AD 
Added Date : Wednesday, March 11, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
ناصر محمد الفهدAl-Fhaid, Nasser MohammedResearcherMaster 

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