Using Fuzzy Analytical Network Process Approach to Develop Job Search Success Model of Engineering Graduates
Phong Thanh Nguyen1, Vy Dang Bich Huynh2, Quyen Le Hoang Thuy To Nguyen3
1Phong Thanh Nguyen, Ho Chi Minh City Open University (HCMCOU), Ho Chi Minh City, Vietnam.
2Vy Dang Bich Huynh, Ho Chi Minh City Open University (HCMCOU), Ho Chi Minh City, Vietnam.
3Quyen Le Hoang Thuy To Nguyen, Ho Chi Minh City Open University (HCMCOU), Ho Chi Minh City, Vietnam.
Manuscript received on 27 May 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 26 June 2019 | PP: 366-369 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: A00640681S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recent decades have seen significant breakthroughs and profound changes in the scale, structure, categories, and models of training in higher education systems around the world. Following the trend of diversification, Vietnamese universities have shifted from serving a narrow elite niche to universalization of higher education. This shift can be seen in the thriving surge of new universities and enrollments. Meanwhile, paradoxically, the reality also entails a shortage of high-quality human resources against the idleness of highly educated job-seekers. This will entail a huge waste of social resources and immensely sap the opportunity for Vietnamese youngsters to promote their potential in the modern context of deep and wide-ranging integration. In light of this context, this article introduces a successful job search model for engineering graduates. Policies on unemployment rate reduction, job opportunity improvement and job hunting pressure release for training institutions are also proposed.
Keywords: Analytical Network, Fuzzy Logic, Job Success Model, Decision Analysis, Human Resource.
Scope of the Article: Process and Workflow Management