Addressing the interplay amongst university support, student experience, and university brand image at Vietnamese higher education institutions
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Author(s)Hai Ninh NguyenLink to ORCID Index: http://orcid.org/0000-0002-1658-531X
,
Thi Tra Phuong Nguyen
,
Thi Dieu Phan
,
Cam Tu Pham
,
Thi Truc Tran
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DOIhttp://dx.doi.org/10.21511/ppm.20(2).2022.26
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Article InfoVolume 20 2022, Issue #2, pp. 311-320
- Cited by
- 694 Views
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207 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
During the last three years, the Covid-19 pandemic has made landmark changes in all aspects of the society and higher education is no exception. The current study examines the interrelationships between university support, student experience, and university brand image. The study used partial least square–structural equation modeling (PLS-SEM) and Smart PLS 3.3.7 to conduct the analysis. Research data were collected by structured questionnaire with 300 students from various studying majors of 12 prominent universities across the nation. The findings firstly suggest that university support has a positive and significant impact on students’ perceived support and overall student experience. Second, the student experience has a noticeable impact on the university image. In addition, the current paper also emphasizes the significant role of student experience in mediating the relationship between university brand image and student perceived support. Practically, universities have been suggested to provide more support for students, including both policies and activities, to improve student perceptions of support and experience. An outstanding student experience is critical to develop and enhance the university brand image. As a result, the findings aid higher education institutions in enhancing their competitiveness in today’s dynamic educational environment.
- Keywords
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JEL Classification (Paper profile tab)I21, I23, M14
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References40
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Tables9
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Figures2
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- Figure 1. Proposed research model
- Figure 2. Modeling results
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- Table 1. Internal consistency reliability and convergent validity
- Table 2. Discriminant validity
- Table 3. R2, Q2, and SMRM
- Table 4. Hypotheses testing results
- Table A1. University support policies (USP)
- Table A2. Student perceived support (SPS)
- Table A3. University support activities (USA)
- Table A4. Student experience (SE)
- Table A5. University brand image (UBI)
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- Aaker, D. A. (1991). Managing Brand Equity: Capitalizing on the Value of a Brand Name. Nova Iorque: Free Press.
- Akter, S., D’Ambra, J., & Ray, P. (2011). An evaluation of PLS based complex models: the roles of power analysis, predictive relevance and GoF index. Proceedings of the 17th Americas Conference on Information Systems (AMCIS2011) (pp. 1-7). Detroit, USA: Association for Information Systems.
- Alzamel, S. (2014). Factors that influence student satisfaction with international programs in institutions of higher learning: A proposed case study of University of Dayton. International Journal of Global Business, 7(1), 15-24.
- Baird, J., & Gordon, G. (2009). Beyond the rhetoric: a framework for evaluating improvements to the student experience. Tertiary Education and Management, 15(3), 193-207.
- Ballantyne, D., & Varey, R. J. (2008). The service-dominant logic and the future of marketing. Journal of the Academy of Marketing Science, 36(1), 11-14.
- Baranova, P., Morrison, S., & Mutton, J. (2011). Enhancing the student experience through service design: The University of Derby approach. Perspectives: Policy and Practice in Higher Education, 15(4), 122-128.
- Bolton, R. N., Lemon, K. N., & Verhoef, P. C. (2004). The theoretical underpinnings of customer asset management: A framework and propositions for future research. Journal of the Academy of Marketing Science, 32(3), 271-292.
- Casidy, R., & Wymer, W. (2016). A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price. Journal of Retailing and Consumer Services, 32, 189-197.
- Chahal, H., & Devi, P. (2013). Identifying satisfied/dissatisfied service encounters in higher education. Quality Assurance in Education, 21(2), 211-222.
- Chapman, A., & Pyvis, D. (2006). Quality, identity and practice in offshore university programmes: Issues in the internationalization of Australian higher education. Teaching in Higher Education, 11(2), 233-245.
- Chew, C. (2006). Positioning and its strategic relevance: emerging themes from the experiences of British charitable organizations. Public Management Review, 8(2), 333-350.
- Darby, M. R., & Karni, E. (1973). Free competition and the optimal amount of fraud. The Journal of Law and Economics, 16(1), 67-88.
- Douglas, J., McClelland, R., & Davies, J. (2008). The development of a conceptual model of student satisfaction with their experience in higher education. Quality Assurance in Education, 16(1), 19-35.
- Duesterhaus, A., & Duesterhaus, M. (2014). Attributes of successful university brands in the USA. Journal of Brand Strategy, 3(2), 169-183.
- Durvasula, S., Lysonski, S., & Madhavi, A. D. (2011). Beyond service attributes: do personal values matter? Journal of Services Marketing, 25(1), 33-46.
- Eisenberger, R., Stinglhamber, F., Vandenberghe, C., Sucharski, I. L., & Rhoades, L. (2002). Perceived supervisor support: contributions to perceived organizational support and employee retention. Journal of Applied Psychology, 87(3), 565-573.
- Elliott, K., & Shin, D. (2002). Student Satisfaction: An alternative approach to assessing this important concept. Journal of Higher Education Policy and Management, 24(2), 197-209.
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388.
- Foroudi, P., Dinnie, K., Kitchen, P. J., Melewar, T. C., & Foroudi, M. M. (2017). IMC antecedents and the consequences of planned brand identity in higher education. European Journal of Marketing, 51(3), 528-550.
- Foroudi, P., Melewar, T. C., & Gupta, S. (2014). Linking corporate logo, corporate image, and reputation: An examination of consumer perceptions in the financial setting. Journal of Business Research, 67(11), 2269-2281.
- Gronemus, J. Q., Hair, P. S., Crawford, K. B., Nyalwidhe, J. O., Cunnion, K. M., & Krishna, N. K. (2010). Potent inhibition of the classical pathway of complement by a novel C1q-binding peptide derived from the human astrovirus coat protein. Molecular Immunology, 48(1-3), 305-313.
- Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121.
- Henderson, M., & Argyle, M. (1985). Social support by four categories of work colleagues: Relationships between activities, stress and satisfaction. Journal of Organizational Behavior, 6(3), 229-239.
- Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140.
- Jacklin, A., & Le Riche, P. (2009). Reconceptualising student support: from ‘support’ to ‘supportive’. Studies in Higher Education, 34(7), 735-749.
- Keller, K., & Lehmann, D. (2006). Brands and Branding: Research Findings and Future Priorities. Marketing Science, 25(6), 740-759.
- Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press.
- Kotler, P., & Fox, K. F. (1995). Strategic marketing for educational institutions. Prentice Hall.
- Nguyen, B., Yu, X., Melewar, T. C., & Hemsley-Brown, J. (2016). Brand ambidexterity and commitment in higher education: An exploratory study. Journal of Business Research, 69(8), 3105-3112.
- Nguyen, H. N. (2021). Channel Integration Quality, Customer Experience and Patronage in Omnichannel Retailing. Journal of Distribution Science, 19(12), 23-32.
- Panda, S., Pandey, S. C., Bennett, A., & Tian, X. (2019). University brand image as competitive advantage: a two-country study. International Journal of Educational Management, 33(2), 234-251.
- Raina, P., Bhadouria, S. S., & Shri, C. (2013). An Empirical Study on Satisfaction Level of Students from Technical Institution. SIES Journal of Management, 9(2).
- Rauschnabel, P. A., Krey, N., Babin, B. J., & Ivens, B. S. (2016). Brand management in higher education: the university brand personality scale. Journal of Business Research, 69(8), 3077-3086.
- Schertzer, C. B., & Schertzer, S. M. (2004). Student satisfaction and retention: A conceptual model. Journal of Marketing for Higher Education, 14(1), 79-91.
- Šerić, M., Gil-Saura, I., & Ruiz-Molina, M. E. (2014). How can integrated marketing communications and advanced technology influence the creation of customer-based brand equity? Evidence from the hospitality industry. International Journal of Hospitality Management, 39, 144-156.
- Sewart, D. (1993). Student support systems in distance education. Open Learning: The Journal of Open, Distance and e-Learning, 8(3), 3-12.
- Tait, A. (2000). Planning student support for open and distance learning. Open learning: The Journal of Open, Distance and e-Learning, 15(3), 287-299.
- Umbach, P. D., & Porter, S. R. (2002). How do academic departments impact student satisfaction? Understanding the contextual effects of departments. Research in Higher Education, 43(2), 209-234.
- Watson, L. W. (2000). Working with Schools to Ease Student Transition to the Community College. New Directions for Community Colleges, 2000(111), 53-58.
- Wisker, G., & Brown, S. (1996). Enabling student learning: Systems and strategies (1st ed.). Routledge.
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Challenges of small and medium enterprises during the COVID-19 pandemic: Case of Georgia
Amiran Maglakelidze ,
Gulnaz Erkomaishvili
doi: http://dx.doi.org/10.21511/ppm.19(4).2021.02
Problems and Perspectives in Management Volume 19, 2021 Issue #4 pp. 20-28 Views: 3060 Downloads: 1592 TO CITE АНОТАЦІЯThe COVID-19 pandemic has had a significant impact on small and medium enterprises (SMEs). The purpose of this study is to assess the impact of the COVID-19 pandemic on SMEs in Georgia, identify the challenges of SMEs in pandemic conditions, and analyze government economic policy measures. For this purpose, 102 small and medium entrepreneurs from different regions of Georgia were interviewed. The survey was conducted by sending a questionnaire through digital channels. The results were processed using data analysis, quantitative and qualitative research methods, and presented graphically. As a result, key challenges and development directions that are typical for SMEs operations in Georgia during the pandemic were identified. For 60.8% of surveyed SME owners, lockdown is the main challenge. Sales volume of 45.1% of SMEs decreased. In addition, 39.3% of the surveyed SME owners increased the innovative capabilities of a company and 37.2% increased the sales volume of a company through digital channels. The main challenge of the pandemic, lockdown, gave impetus to a change in entrepreneurial behavior. In a pandemic, entrepreneurial activity has become more favorable through digital channels. During the pandemic, there is a need to continue the government’s program of tax incentives and subsidies for SMEs. In addition, the government should promote education in the fields of entrepreneurship, innovation, and technology.
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The Case of COVID-19 impact on the level of non-performing loans of conventional commercial banks in Indonesia
Siti Epa Hardiyanti ,
Lukmanul Hakim Aziz
doi: http://dx.doi.org/10.21511/bbs.16(1).2021.06
Banks and Bank Systems Volume 16, 2021 Issue #1 pp. 62-68 Views: 1672 Downloads: 1135 TO CITE АНОТАЦІЯThis study aims to investigate the impact of COVID-19 on the increase in bad credits at conventional commercial banks in Indonesia. The data used in this study are secondary data sourced from the Ministry of Health and from the Financial Services Authority (OJK), each of which consists of 50 data samples. The data analysis technique used in this study is simple regression analysis to determine the magnitude of the influence of COVID-19 on non-performing loans. The results of the data analysis show that COVID-19 has a significant effect on non-performing loans, and the COVID-19 variable can be used as an external indicator of the increase in non-performing loans for commercial banks in Indonesia. The implication of the research is that other researchers can make COVID-19 an external indicator of an emergency beyond human ability that can affect the level of non-performing loans. For banking, this study can be used as a reference when considering credit risk management policy during the COVID-19 pandemic.
Acknowledgment
The researchers are grateful to University of Sultan Ageng Tirtayasa for financial support. In addition, the authors sincerely apologize for the errors and mistakes found in this paper. -
Digitalization and higher education for sustainable development in the context of the Covid-19 pandemic: A content analysis approach
Ruihui Pu ,
Danai Tanamee ,
Songyu Jiang
doi: http://dx.doi.org/10.21511/ppm.20(1).2022.03
Problems and Perspectives in Management Volume 20, 2022 Issue #1 pp. 27-40 Views: 1350 Downloads: 714 TO CITE АНОТАЦІЯHigher education for sustainable development (HESD) in the Covid-19 pandemic faces different challenges. Empirically few studies to date have introduced much on the digitalization of higher education for sustainable development. This study aims to explore and explain the digitalization of HESD from different attitudes and to build linkages of the digitalization in HESD. Furthermore, the study makes content analysis where 1,200 tweets on digitalization in higher education for sustainable development are collected from Twitter, and 19 documents have further categorized information data via NVivo. In addition, 22 students and 9 instructors were invited for a semi-structured interview to further supplement this study and confirm its findings. This study finds that attitudes towards digitalization in the study area can be divided into three correlated attitude layers. Teaching attitudes and educational attitudes are the first level, and the second level is the digital platform attitude, technology use attitude, and resource attitude. Furthermore, network attitude, service attitude, and development attitude are the third level. Thus, through the analysis, this study suggests higher education institutions should make improvements in digitalized teaching, education quality via innovation, technological development, resources use, and development via creating a better digital platform or environment is essential for genuinely promoting the HESD.
