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

Year 2017, Volume: 3 Issue: 1, 447 - 456, 30.06.2017

Engin Cakir Sinasi Yaylagul

https://doi.org/10.17261/Pressacademia.2017.431

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

• 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.
• Baisya, R. K. ve Das, G. G. (2008). Aesthetics In Marketing. Thousand Oaks: Sage Publications, Inc.
• 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.
• Boyatzis, C. J. ve Varghese, R. (1994). Children’s emotional associations with colors. The Journal of genetic psychology. doi:10.1080/00221325.1994.9914760
• 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.
• 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
• 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
• Carmines, E. G. ve Zeller, R. A. (1979). Reliability and Validity Assessment. Sage University Papers Series. Beverly Hills, California: Sage Publications.
• 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.
• 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
• 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.
• 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
• 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
• 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
• 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
• Donovan, R. J. ve Rossiter, J. R. (1982). Store Atmosphere: An Environmental Psychology Approach. Journal of Retailing, 58(1), 34. doi:Article
• Donovan, R. J., Rossiter, J. R., Marcoolyn, G. ve Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, (70), 283–94.
• 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.
• 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.