Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City
The literature shows that there are studies on students’ choices when enrolling in an institution. The findings from these studies help High Educational Institutions (HEIs) to improve their enrollment. However, not much literature explains how students (as consumers) explain the values they can get...
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HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE
2021
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oai:doaj.org-article:c5e66e00281945c98da73285d903b9da2021-11-15T08:44:54ZEmploying Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City2734-93142734-958610.46223/HCMCOUJS.econ.en.11.2.1807.2021https://doaj.org/article/c5e66e00281945c98da73285d903b9da2021-08-01T00:00:00Zhttps://journalofscience.ou.edu.vn/index.php/econ-en/article/view/1807https://doaj.org/toc/2734-9314https://doaj.org/toc/2734-9586The literature shows that there are studies on students’ choices when enrolling in an institution. The findings from these studies help High Educational Institutions (HEIs) to improve their enrollment. However, not much literature explains how students (as consumers) explain the values they can get from HEIs’ image attributes. The present study employs Mean-End Chain (MEC) theory to explore students’ values by identifying attributes of HEIs images attributes from their perceptions with the following objectives: (1) to explore attributes of the selected school’s image from students’ perspectives, (2) to explore the connections between these attributes and values of individual students through consequences from these attributes. The soft-laddering interview is the method to collect data, and participants are first-year students who have just enrolled in the selected school in the last national enrollment in 2020. The research findings show that there are 12 attributes, which drive to eight values through 23 consequences (13 functional consequences and 10 psychosocial consequences), making students enroll in the selected school. The result from HVM states that there are five significant A-C-V linkages to explain which attributes have the most influence on students’ choice, and how these attributes affect their perceived values. Finally, the study also proposes suggestions for institutions to promote their enrollment practices and increase the quality of their enrolments.Le Hoai Kieu GiangDau Xuan TruongLe Thi QuynhLe Thi Thanh XuanHO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCEarticlehigh educational institutionmean-end chain theoryschool (brand) imagesoft-laddering interviewstudent choiceEconomic theory. DemographyHB1-3840ENHo Chi Minh City Open University Journal of Science - Economics and Business Administration, Vol 11, Iss 2, Pp 156-171 (2021) |
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high educational institution mean-end chain theory school (brand) image soft-laddering interview student choice Economic theory. Demography HB1-3840 |
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high educational institution mean-end chain theory school (brand) image soft-laddering interview student choice Economic theory. Demography HB1-3840 Le Hoai Kieu Giang Dau Xuan Truong Le Thi Quynh Le Thi Thanh Xuan Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
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The literature shows that there are studies on students’ choices when enrolling in an institution. The findings from these studies help High Educational Institutions (HEIs) to improve their enrollment. However, not much literature explains how students (as consumers) explain the values they can get from HEIs’ image attributes. The present study employs Mean-End Chain (MEC) theory to explore students’ values by identifying attributes of HEIs images attributes from their perceptions with the following objectives: (1) to explore attributes of the selected school’s image from students’ perspectives, (2) to explore the connections between these attributes and values of individual students through consequences from these attributes. The soft-laddering interview is the method to collect data, and participants are first-year students who have just enrolled in the selected school in the last national enrollment in 2020. The research findings show that there are 12 attributes, which drive to eight values through 23 consequences (13 functional consequences and 10 psychosocial consequences), making students enroll in the selected school. The result from HVM states that there are five significant A-C-V linkages to explain which attributes have the most influence on students’ choice, and how these attributes affect their perceived values. Finally, the study also proposes suggestions for institutions to promote their enrollment practices and increase the quality of their enrolments. |
format |
article |
author |
Le Hoai Kieu Giang Dau Xuan Truong Le Thi Quynh Le Thi Thanh Xuan |
author_facet |
Le Hoai Kieu Giang Dau Xuan Truong Le Thi Quynh Le Thi Thanh Xuan |
author_sort |
Le Hoai Kieu Giang |
title |
Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
title_short |
Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
title_full |
Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
title_fullStr |
Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
title_full_unstemmed |
Employing Mean-End-Chains theory to explore students’ values from school’s image characteristics - A case study of a business school in Ho Chi Minh City |
title_sort |
employing mean-end-chains theory to explore students’ values from school’s image characteristics - a case study of a business school in ho chi minh city |
publisher |
HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE |
publishDate |
2021 |
url |
https://doaj.org/article/c5e66e00281945c98da73285d903b9da |
work_keys_str_mv |
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