Student's Willingness to Pay for Degree Program Based on Attributes

被引:0
作者
Watson, Susan [1 ,4 ]
Yu, Mark [2 ]
Guney, Selin [3 ]
机构
[1] Univ North Texas, Denton, TX USA
[2] Tarleton State Univ, Stephenville, TX USA
[3] Missouri State Univ, Springfield, MO USA
[4] Univ North Texas, Dept Multidisciplinary Innovat, Sage Hall,Suite 394,1155 Union Circle 311190, Denton, TX 76203 USA
关键词
D O I
10.1080/08923647.2024.2355850
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Higher education offerings are evolving, and institutions are challenged with providing a grouping of services, or attribute set, with the highest value to students. Widening course offerings may present additional financial challenges to higher education institutions if the magnitude of the value of specific course attributes is unknown. In this study, students were surveyed to determine the willingness to pay for degree program attributes with respect to amount of time and location commitment, university reputation, degree program reputation and instructor reputation. Using a choice-based approach, marginal utilities are calculated along with willingness to pay measures for each variable. Results suggest that the largest premiums occur when time and location commitments are minimized, followed by a solid university reputation. Implications for higher education institutions may allow for customized pricing policies and efficient course offerings based on demand for the most valued structure of online delivery modes, and reputations of degree programs, instructors, and the institute of higher education. Course offerings could then be tailored to balance student demand and institutional resources.
引用
收藏
页码:168 / 177
页数:10
相关论文
共 20 条
[1]  
[Anonymous], 2018, QUALITY MATTERS EDUV
[2]   The Changing Importance of Factors Influencing Students’ Choice of Study Mode [J].
Bailey M. ;
Ifenthaler D. ;
Gosper M. ;
Kretzschmar M. ;
Ware C. .
Technology, Knowledge and Learning, 2015, 20 (02) :169-184
[3]   A representation theorem for finite best-worst random utility models [J].
Colonius, Hans .
JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2021, 104
[4]   The higher education environment driving academic library strategy: A political, economic, social and technological (PEST) analysis [J].
Cox, John .
JOURNAL OF ACADEMIC LIBRARIANSHIP, 2021, 47 (01)
[5]   Student satisfaction, league tables and university applications: Evidence from Britain [J].
Gibbons, Stephen ;
Neumayer, Eric ;
Perkins, Richard .
ECONOMICS OF EDUCATION REVIEW, 2015, 48 :148-164
[6]   Willingness to pay for freight travel time savings: contrasting random utility versus random valuation [J].
Goenaga, Boris ;
Cantillo, Victor .
TRANSPORTATION, 2020, 47 (02) :705-736
[7]  
Hanson M., 2021, Cost of Online Education vs. Traditional Education
[8]   Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences [J].
Howard, Gregory ;
Roe, Brian E. ;
Interis, Matthew G. ;
Martin, Jay .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2020, 77 (04) :813-838
[10]  
Manley K, 2019, J EDUC FINANC, V45, P232