DETERMINING IMPORTANCE LEVELS OF INTERN STUDENT ACCEPTANCE CRITERIA BY SWARA METHOD: A RESEARCH ON HUMAN RESOURCES ASSOCIATE STUDENTS

Abstract

This study is to determine the weight of the criteria, which are important for the students, studying in Human Resources Management Associate Degree Program of the universities, to be accepted as intern in Human Resources department of companies during their compulsory summer internships, by using SWARA method and thus to be guiding for what criteria should be focused in the education of the students who want to do their internships in the companies which are pioneers in the sector. The study was conducted with mid- and lower level managers (decision makers) in the Human Resources department having a role in the pre-evaluation of the internship applications of the companies which are in leading position in their sectors. In the study, firstly, each decision maker ranked the criteria by placing the most important one as the first, and then they revealed the significance levels among the criteria. Finally, the significance levels (weights) of the criteria were determined as a result of the calculation of the data obtained from the decision makers by using the SWARA method. According to the results of SWARM method, the most important criterion is "the desire to practice internship of the intern candidate", the second most important criterion is "the suitability to work of the intern candidate" and third most important criterion is "general appearance / first impression of the intern candidate". 

 

Keywords

• Intern Selection Criteria,SWARA Method,Human Resources,Intern

References

1. Ahmed, S. U., Al Mahmud, A. ve Bergaust, K. (2009). Aesthetics in Human-Computer Interaction: Views and Reviews. Lecture Notes in Computer Science içinde (C. 5610 LNCS, ss. 559–568). doi:10.1007/978-3-642-02574-7_63 App Annie & MEF. (2014). Emerging Markets and Growth in the Global App Economy.
2. Baisya, R. K. ve Das, G. G. (2008). Aesthetics In Marketing. Thousand Oaks: Sage Publications, Inc.
3. Bauerly, M. ve Liu, Y. (2006). Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics. Int. J. Hum.-Comput. Stud., 64(8), 670–682.
4. Boyatzis, C. J. ve Varghese, R. (1994). Children’s emotional associations with colors. The Journal of genetic psychology. doi:10.1080/00221325.1994.9914760
5. Burdge, B. (2014). New Research Shows Mobile Dominates Desktops. MovableInk. http://blog.movableink.com/new-research-showsmobile-dominates-desktops-with-65-of-total-email-opens-in-q4-2013/ adresinden erişildi.
6. Cai, S. ve Xu, Y. (2011). Designing Not Just for Pleasure: Effects of Web Site Aesthetics on Consumer Shopping Value. International Journal of Electronic Commerce, 15(4), 159–188. doi:10.2753/JEC1086-4415150405
7. Carare, O. (2012). The impact of bestseller rank on demand: Evidence from the app market. International Economic Review, 53(3), 717– 742. doi:10.1111/j.1468-2354.2012.00698.x
8. Carmines, E. G. ve Zeller, R. A. (1979). Reliability and Validity Assessment. Sage University Papers Series. Beverly Hills, California: Sage Publications.

9. Chaudhari, A. (2015). Mobile Applications Market to Soar. Research, Transparency Market. 17 Eylül 2015 tarihinde http://www.transparencymarketresearch.com/pressrelease/mobile-applications-market.htm adresinden erişildi.
10. Chebat, J.-C. ve Morrin, M. (2007). Colors and cultures: Exploring the effects of mall décor on consumer perceptions. Journal of Business Research, 60(3), 189–196. doi:10.1016/j.jbusres.2006.11.003
11. Choi, J. H. ve Lee, H. J. (2012). Facets of simplicity for the smartphone interface: A structural model. International Journal of Human Computer Studies, 70(2), 129–142. doi:10.1016/j.ijhcs.2011.09.002 ComScore. (2014). The US Mobile App Report.
12. Countryman, C. C. ve Jang, S. (2006). The effects of atmospheric elements on customer impression: the case of hotel lobbies. International Journal of Contemporary Hospitality Management, 18(7), 534–545. doi:10.1108/09596110610702968
13. Creusen, M. E. H., Veryzer, R. W. ve Schoormans, J. P. L. (2010). Product value importance and consumer preference for visual complexity and symmetry. European Journal of Marketing, 44(9/10), 1437–1452. doi:10.1108/03090561011062916
14. Cyr, D. (2008). Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty. Journal of Management Information Systems, 24(4), 47–72. doi:10.2753/MIS0742-1222240402
15. Degeratu, A. M., Rangaswamy, A. ve Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing, 17(1), 55–78. doi:10.1016/S0167-8116(00)00005-7
16. Donovan, R. J. ve Rossiter, J. R. (1982). Store Atmosphere: An Environmental Psychology Approach. Journal of Retailing, 58(1), 34. doi:Article
17. Donovan, R. J., Rossiter, J. R., Marcoolyn, G. ve Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, (70), 283–94.
18. Eroglu, S. a., Machleit, K. a. ve Davis, L. M. (2003). Empirical Testing of a Model of Online Store Atmospherics and Shopper Responses. Psychology & Marketing, 20(2), 99–121. doi:10.1002/mar.
19. Fornell, C. ve Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research (JMR), 18(1), 39–50.