Evaluating Emotional Quota: A DEA-Based Approach (Case Study: Yadegar Emam, Shahr-e Rey Islamic Azad University)
Subject Areas : Educational PsychologyFatemeh Moradi 1 , Mahnaz Maghbouli 2
1 - Tehran
2 - گروه ریاضی، واحد هادیشهر، دانشگاه آزاد اسلامی، هادیشهر، ایران
Keywords: Data envelopment analysis (DEA), Social Awareness, Self-Management, Emotional Quota (EQ), Relationship-Management, Self-Consciousness,
Abstract :
For many years, it was believed that Intelligence Quota (IQ) was the benchmark showing how successful one is. However, recent researches have revealed that IQ is not the only factor in one's success but also, other criteria called as Emotional Quota (EQ) has taken its place in many researches. Since the inception of this structure, psychologists mainly paid attention on its cognitive aspects, such as memory and problem solving. Soon, they realized that non-cognitive aspects like emotional and social factors played a key role as well. To study the importance of this issue, a random sample of 81 Electronic and Mechanic engineering graduates from Islamic Azad University, Yadegar Emam Branch, were selected. They were handed out a questioner on EQ derived from Travis-Bradberry book. The collected data evaluated applying Data Enveloping Analysis (DEA) models. In order to rank and distinguish the students’ performance, super efficiency models were employed. The results show that the Electronic graduates scored some higher rank. Top of all, the study conflicts the selected four factors in evaluating EQ and reveals that the relationship- management factor has the most effect and self-management factor can take the least influence in this evaluation.
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Salovey, P., & Mayer, J. D. (1990), Emotional Intelligence, Imagination Cognition and Personality, 9(3), 185-211.
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Zhon, J., & George, J. (2003), Awaking employee creativity: the role of leader emotional intelligence, The leadership Quarterly, 14, 4-5-5450568.
Vanrooy, D. L. (2005), Group Differences in Emotional Intelligence Scores, Personality and Individual Differences, 38, 3, 689-700
Wu, J., Sun, J., & Liang, L. (2012), Cross efficiency evaluation method based on weight-balanced data envelopment analysis model, Computers & Industrial Engineering, 63(2), 513–519.
Yang, G. L., Yang, J. B., Liu, W. B. & Li, X. X. (2013), Cross-efficiency aggregation in DEA models using the evidential-reasoning approach, European Journal of Operational research, 231, 393-404.
_||_Andersen, P & Petersen, N.C. (1993), A Procedure for Ranking Efficient Units in Data Envelopment Analysis, Management Science, 39(10), 1261-1264.
Austin, E. J., Saflofske, D. H., & Egan, V. (2005), Personality, well-being and health correlates of trait emotional intelligence, Personality and individual differences, 38(3), 546-558.
Bala, K & Cook, W. D. (2003), Performance measurement with classification information: an enhanced additive DEA model, OMEGA, 31, 439-450.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), 1078-1092.
Bar-On, R. (2000), Emotional and social intelligence: Insights from the emotional quotient Inventory, In R. Bar-On & J.D.A Parker. (Eds), the Handbook of Emotional Intelligence (1 (, Jossey-Bass, San Francisco, 368-388.
Bloom, B. S. (1976), Human Characteristics and School learning, Mc Graw-Hill, New York, First Edition.
Bradberry, T., & Greaves, J. (2005), The Emotional Intelligence Quick Book: Everything you need to know to put your EQ to Work, Fireside Publication, First Edition.
Charbonneau, I., & Adelheid, A. M. (2002), Emotional intelligence and leadership in adolescents, Personality Journal Differences, 33(7), 1101-1113.
Charnes A., Cooper, W. W., & Rhodes, E. L. (1978), Measuring the efficiency of decision making units, European Journal of Operational research, 2(6), 429-444.
Chiang C. I., Hwang, M. J., & Liu, Y. H. (2011), Determining a common set of weights in a DEA problem using a separation vector, Mathematical and Computer Modelling, 54(9–10), 2464–2470.
Cook W. D. & Bala, K. (2007), Performance measurement with classification information in DEA: Input-oriented model, OMEGA, 37, 39-52.
Cooper, W. W., Seiford, L. M., & Tone, K. (2006), Introduction to Data Envelopment Analysis and Its uses: with DEA-Solver Software and References, Springer Publication, Boston, 2nd Edition.
Doyle, J., & Green, R. (1994), Efficiency and Cross-Efficiency in DEA: Derivations, Meanings and Uses, Journal of the Operational Research Society, 45,567-578.
Goleman, D. (1995), Emotional intelligence, New York Bantam Books.
Jahanshahloo, G. R., Hoseinzadeh Lotfi, F., & Nikoo Maram, H. (2016), Data Envelopment Analysis and Its Application, Islamic Azad University, Tehran Science and Research Branch Publication, Tehran, First Edition.
Lopez-Cabrales, A., Pérez-Luño, A., & Cabrera, R. V. (2003), Knowledge as a mediator between HRM practices and innovative activity, Human Resource Management, 48 (4), 485–503.
Mayer J., Caruso, D., & Salovey, P. (2000), Emotional intelligence meets traditional standards for intelligence, Intelligence, 27,267-98.
Salovey, P., & Mayer, J. D. (1990), Emotional Intelligence, Imagination Cognition and Personality, 9(3), 185-211.
Schutt, N. C. (2001), Emotional intelligence and Inter Personal Relations, Social Psychology and Psychiatry, 141, (4), 523-535.
Trinidad, D. R. (2004), The Proactive association of emotional intelligence with psychosocial smoking risk factor for adolescents, Personality and Individual differences, 36, 4, 945-954.
Taylor S. E., & Kemeny, M. E. (2000), Psychological Resources, Positive Illusions, and Health, American Psychology, 55(1), 99-109.
Zhon, J., & George, J. (2003), Awaking employee creativity: the role of leader emotional intelligence, The leadership Quarterly, 14, 4-5-5450568.
Vanrooy, D. L. (2005), Group Differences in Emotional Intelligence Scores, Personality and Individual Differences, 38, 3, 689-700
Wu, J., Sun, J., & Liang, L. (2012), Cross efficiency evaluation method based on weight-balanced data envelopment analysis model, Computers & Industrial Engineering, 63(2), 513–519.
Yang, G. L., Yang, J. B., Liu, W. B. & Li, X. X. (2013), Cross-efficiency aggregation in DEA models using the evidential-reasoning approach, European Journal of Operational research, 231, 393-404.