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IJPER · Lens · Selection of Teaching Faculty in Pharmacy/Engineering Institutes by Using an Analytical Hierarchy Process (AHP): A Procedure Proposed

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Article · Volume 58, Issue 3 · pp. 940–948

Selection of Teaching Faculty in Pharmacy/Engineering Institutes by Using an Analytical Hierarchy Process (AHP): A Procedure Proposed

Pankaj Sharma1, Abhishek Jain2, Shiv Kumar Sharma3, Satyendra Kumar Sharma4, Abhishek Parashar1

  1. 1Department of Pharmacy, Shri Ram College of Pharmacy, Gwalior, Madhya Pradesh, INDIA.
  2. 2Department of Mechanical Engineering, Adina Institute of Science and Technology, Sagar, Madhya Pradesh, INDIA.
  3. 3Mechanical Engineering Department, Shri Ram College of Engineering and Management, Gwalior, Madhya Pradesh, INDIA.
  4. 4Department of Computer Science Engineering, Modern Institute of Technology and Research Centre (MITRC), Alwar, Rajasthan, INDIA.

Abstract

Background The process for choosing the right talent to further the institution’s objectives is known as faculty selection. In a pharmacy or engineering college, choosing teaching personnel is quite important. The best-qualified candidates for teaching faculty members in pharmacy/ engineering institutions are chosen in this study using an Analytical Hierarchy Process (AHP). Materials and Methods AHP analysis is done based on six primary criteria as Ph.D./M. Tech (P/M), Teaching Experience (TE), Industry Experience (IE), Research Publications (RP), Paper Reviewed/ Board Member (PR/BM) and Technical Courses (TC) in the first round and three secondary criteria as an Oral Presentation (OP), Student Feedback (SF) and Interview Performance (IP) in the second round. Results First, create a weight matrix and a normalized weight matrix using the first round’s six basic criteria (P/M, TE, IE, RP, PR/BM, and TC) and the second round’s three subsidiary criteria (OP, SF, and IP). The decision makers’ conclusions are consistent, as shown by the Consistency ratio (CR), which is less than 0.10. In both the first round and the second round, applicant 3 gets the highest weighted score when compared to applicant 6. Thus, candidate 3 is chosen as the most suitable teaching faculty member in the final AHP judgment. Conclusion In comparison to the initial criteria, the following criteria are more significant when choosing teaching faculty members. Due to the selection of faculty members of colleges and universities in this article, the subsequent round has a larger weighting than the first.

Keywords: Analytical hierarchy process; Teaching experience; Industry experience; Weight matrix; Random consistency index

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