First Advisor

Tugrul U. Daim

Term of Graduation

Winter 2023

Date of Publication


Document Type


Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management


Engineering and Technology Management





Physical Description

1 online resource (xii, 274 pages)


Payment processing systems have advanced significantly in the airline business. Because e-payments are easy, they have captured the attention of many companies in the aviation industry and are quickly becoming the dominant means of payment. However, as technology advances, fraud grows at a comparable rate. Over the years, there has been a surge in payment fraud incidents in the airline sector, reducing the platform's trustworthiness. Despite attempts to eliminate e-payment fraud, decision-makers lack the technical expertise required to use the finest fraud detection and prevention assessments; this research recognizes the lack of an established decision model as a hurdle and seeks to fix the problem. In response, this research aims to develop a decision model for the airline industry to evaluate the e-payment fraud detection and prevention capabilities of airlines. The literature examines the scope of airline payment fraud to formulate the optimal framework to handle the problem. Guided by the results, the study proceeds to develop an HDM model from experts' validation, quantification, and desirability inputs. Three panels were constituted to validate the perspectives and factors, quantification, and desirability inputs. The model was used to assess the contribution of individual perspectives and factors on decision-making.


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