Quantitative ABCD Analysis of IEDRA Model of Placement Determination

International Journal of Case Studies in Business, IT and Education (IJCSBE), 1(2), 103-113.

10 Pages Posted: 5 Jan 2018

See all articles by Varun Shenoy

Varun Shenoy

SRINIVAS UNIVERSITY MANGALORE INDIA

P. S. Aithal

Srinivas University

Date Written: December 29, 2017

Abstract

The current technological and digital era has always directed campus recruitment process towards eruption of paradigm shifts matching new systems of industrial workforce engagements. The dilemma of job seeking graduates today in campus has ever more convoluted towards the rapid changes in industry and employment market. IEDRA Model of Student Campus Placement Realization was a more comprehensive study undertaken by Shenoy & Aithal (2017) to resolve such a dilemma of students. Therefore here, a brief study is undertaken to discover practical viabilities, understand the usefulness, resourcefulness and universal applications of IEDRA Model of campus placement determination towards concerned stakeholders. A new model of framework analysis named ABCD analysis developed by Aithal et al. (2015) is adopted here for arriving at appropriate theory, hypothesis or postulate constructs regarding the ubiquitous appeal of the IEDRA Framework.

Keywords: ABCD framework, Online Campus Recruitment, IEDRA Model, Model elemental analysis, Employment Placements

Suggested Citation

Shenoy, Varun and Aithal, P. S., Quantitative ABCD Analysis of IEDRA Model of Placement Determination (December 29, 2017). International Journal of Case Studies in Business, IT and Education (IJCSBE), 1(2), 103-113.. Available at SSRN: https://ssrn.com/abstract=3094832

Varun Shenoy

SRINIVAS UNIVERSITY MANGALORE INDIA ( email )

Srinivas University City Campus, Mangaladevi Road
Pandeshwar
Mangalore, 575001
India
0824-2441022 (Phone)

HOME PAGE: http://www.srinivasuniversity.edu.in

P. S. Aithal (Contact Author)

Srinivas University ( email )

Srinivas Campus
Pandeshwar
Mangalore, Mangalore 575001
India
9343348392 (Phone)

HOME PAGE: http://www.srinivasuniversity.ac.in

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