The Relationship between Information Distribution and Intention to Choose a University

NGUYEN,, L. V. , NGUYEN,, D. N. , & NGUYEN,, D. T. K. (2022). The Relationship between Information Distribution and Intention to Choose a University. The Journal of Distribution Science, 20(7), 65-71, https://doi.org/https://doi.org/10.15722/jds.20.07.202207.65

copy

Abstract

Purpose: Research on the intention to choose a university has an important role for universities in enrollment. The information element is considered essential to help students have specific information before making their decisions. However, how to distribute this information appropriately is an issue that needs to be studied. Therefore, this study was conducted to evaluate the influence of information distribution on intention to choose a university. Research design, data, and methodology: The study showed a survey on 259 samples from first-year students at public universities in Vietnam. PLS-SEM model was performed to find out the relationship between information distribution and intention to choose a university. Result: The results show that information quality and information helpfulness positively impact on attitudes towards universities. Attitude towards university has a positive effect on the intention to choose a university. Conclusion: From the results of this study, the authors also make some recommendations to help universities have good communication policies to improve their ability to attract students to choose a university. Quality and helpful information will help universities to be able to attract students more effectively to enroll based on an effective communication strategy.

keywords: Information Distribution, Information Quality, Information Helpfulness, Intention to Choose a University

Reference

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Bailey, J. E., & Pearson, S. W. (1983). Development of a Tool for Measuring and Analyzing Computer User Satisfaction. Management Science, 29(5), 530-545.

Bui, L. T. H., & Nguyen, D. N. (2021). The distribution channel, strategic factor and firm performance: Evidence from FDI enterprises. Journal of Distribution Science, 19(10), 35-41.

Carvalho, L., Brandão, A., & Pinto, L. H. (2020). Understanding the importance of eWOM on Higher Education Institutions’brand equity. Journal of Marketing for Higher Education, 1(1), 1–19.

Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word‐of‐mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229–247.

Dao, M. T. N., & Thorpe, A. (2015). What factors influence Vietnamese students’ choose of university? International Journal of Educational Management, 29(5), 666–681.

Davis, F.D. (1989), Perceived usefulness, perceived ease of use and user acceptance of information technology, MIS Quarterly, 13(3), 319-339

Davis, F.D. (1993), User acceptance of computer technology:System characteristics user perceptions and behavior characteristics, International Man-Machine studies, 38(1), 475-487.

DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60–95.

10.

Delone, W., H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30.

11.

Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61(1), 47–55.

12.

Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(8), 956–970.

13.

Hiatt, M. S., Swaim, J. A., & Maloni, M. J. (2018). Choosing an undergraduate major in business administration: Student evaluative criteria, behavioral influences, and instructional modalities. The International Journal of Management Education, 16(3), 524–540.

14.

Huang, L.-M., & Bilal, D. (2019). Usability of University Recruitment Web Pages from International Doctoral Students’Perspectives. In A. Marcus & W. Wang (Eds.), Design, User Experience, and Usability. Practice and Case Studies, 11586(1), 505–521.

15.

Jara, A. J., Parra, M. C., & Skarmeta, A. F. (2012). Marketing 4.0:A New Value Added to the Marketing through the Internet of Things. Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 1(1), 852–857.

16.

Johnston, T. C. (2010). Who And What Influences Choose of University? Student And University Perceptions. American Journal of Business Education (AJBE), 3(10), 15–24.

17.

Kim, S.-E., Lee, K. Y., Shin, S. I., & Yang, S.-B. (2017). Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo. Information &Management, 54(6), 687–702.

18.

Kotler, P. (2017). Marketing 4.0: dal tradizionale al digitale. Marketing 4.0, 1(1), 1-168.

19.

Lee, K.-T., & Koo, D.-M. (2015). Evaluating right versus just evaluating online consumer reviews. Computers in Human Behavior, 45(1), 316–327.

20.

Luna-Nevarez, C., & Torres, I. M. (2015). Consumer Attitudes Toward Social Network Advertising. Journal of Current Issues & Research in Advertising, 36(1), 1–19.

21.

Nguyen, D. N., Nguyen, D. D., & Nguyen, D. V. (2020). Distribution information safety and factors affecting the intention to use digital banking in Vietnam. The Journal of Distribution Science, 18(6), 83-91.

22.

Pai, F.-Y., & Huang, K.-I. (2011). Applying the Technology Acceptance Model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660.

23.

Salehi-Esfahani, S., Ravichandran, S., Israeli, A., & Bolden III, E. (2016). Investigating Information Adoption Tendencies Based on Restaurants’ User-Generated Content Utilizing a Modified Information Adoption Model. Journal of Hospitality Marketing & Management, 25(8), 925–953.

24.

Sierra, J. J., & Hyman, M. R. (2011). Outlet mall shoppers’intentions to purchase apparel: A dual-process perspective. Journal of Retailing and Consumer Services, 18(4), 341–347.

25.

Smørvik, K. K., & Vespestad, M. K. (2020). Bridging marketing and higher education: Resource integration, co-creation and student learning. Journal of Marketing for Higher Education, 30(2), 256–270.

26.

Štimac, H., & Leko Šimić, M. (2012). Competitiveness in Higher Education: A Need for Marketing Orientation and Service Quality. Economics & Sociology, 5(2), 23–34.

27.

Sussman, S. W., & Siegal, W. S. (2003). Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption. Information Systems Research, 14(1), 47–65.

28.

Swaim, J. A., Maloni, M. J., Napshin, S. A., & Henley, A. B. (2014). Influences on Student Intention and Behavior Toward Environmental Sustainability. Journal of Business Ethics, 124(3), 465–484.

29.

Tapanainen, T., Dao, T. K., & Nguyen, T. T. H. (2021). Impacts of online word-of-mouth and personalities on intention to choose a destination. Computers in Human Behavior, 116(1), 106656.

30.

Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003), User accaptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425–478

31.

Vukasovic, T. (2015). Managing Consumer-Based Brand Equity in Higher Education. Managing Global Transitions, 13(1), 75–90.

바로가기메뉴

Article Contents

Vol.20 No.7

The Relationship between Information Distribution and Intention to Choose a University

Abstract

Reference

The Journal of Distribution Science