| 系統識別號 | U0002-1101202522202500 |
|---|---|
| DOI | 10.6846/tku202500018 |
| 論文名稱(中文) | 高等教育網路品牌權益(HEOBE)與機構績效之間的關係 |
| 論文名稱(英文) | The Relationship between Online Brand Equity in Higher Education (HEOBE) and Institutional Performance |
| 第三語言論文名稱 | |
| 校院名稱 | 淡江大學 |
| 系所名稱(中文) | 管理科學學系博士班 |
| 系所名稱(英文) | Doctoral Program, Department of Management Sciences |
| 外國學位學校名稱 | |
| 外國學位學院名稱 | |
| 外國學位研究所名稱 | |
| 學年度 | 113 |
| 學期 | 1 |
| 出版年 | 114 |
| 研究生(中文) | 邱秋雲 |
| 研究生(英文) | CHIU-ZYUN HIEW |
| 學號 | 804620028 |
| 學位類別 | 博士 |
| 語言別 | 英文 |
| 第二語言別 | |
| 口試日期 | 2025-01-10 |
| 論文頁數 | 65頁 |
| 口試委員 |
口試委員
-
李培齊(100679@o365.tku.edu.tw)
口試委員 - 陳怡妃(133159@o365.tku.edu.tw) 口試委員 - 王智弘(chihhwang@fcu.edu.tw) 口試委員 - 吳怡芳(078009@mail.hwu.edu.tw) 指導教授 - 陳水蓮(135938@o365.tku.edu.tw) |
| 關鍵字(中) |
高等教育網路品牌權益(HEOBE) 利益相關者滿意度 口碑 主觀績效 客觀績效 |
| 關鍵字(英) |
Higher Education Online Brand Equity (HEOBE) Stakeholder Satisfaction Word-of-Mouth (WOM) Subjective Performance Objective Performance |
| 第三語言關鍵字 | |
| 學科別分類 | |
| 中文摘要 |
本研究探討高等教育網路品牌權益(HEOBE)與機構績效之間的關係,並結合主觀與客觀績效指標建立整合性框架。主觀績效來源於利益相關者(學生、家長及校友)的感知,而客觀績效則引用臺灣教育部(2017–2022年)的統計數據,包括政府補助、新生註冊率以及產學合作績效。數據收集包含來自臺灣 103 所高等教育機構的 752 份有效問卷,樣本涵蓋學生、家長與校友等多元利益相關者群體。客觀數據經由最小-最大正規化方法(Min-Max normalization)進行標準化處理,分析方法包括驗證性因素分析與結構方程模型,用於評估模型適配程度及變數之間的關係。研究結果顯示,機構聲譽與品牌忠誠度顯著增強了利益相關者的滿意度,而滿意度進一步促進了正向口碑的傳播。滿意度直接提升主觀績效,並透過正向口碑間接影響主觀與客觀績效。由於客觀數據具體且可量化,能減少主觀評估偏誤,因此客觀績效模型顯示出更佳的適配指標。本研究的整合性框架為高等教育品牌管理提供了實證依據,佐證品牌權益是塑造機構績效的關鍵角色,建議高等教育機構相關行政單位採取適當的品牌管理策略,以有效提升利益相關者滿意度並促進正向口碑傳播,以實現機構永續發展的目標。 |
| 英文摘要 |
This study explores the impact of Higher Education Online Brand Equity (HEOBE) on institutional performance through an integrated framework of subjective and objective metrics. Subjective performance reflects stakeholder perceptions (students, parents, alumni), while objective data from Taiwan’s Ministry of Education (2017–2022) includes subsidies, enrollment rates, and industry collaboration. Using 752 valid responses from 103 institutions, objective data were standardized via Min-Max normalization. Analytical methods included confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results reveal institutional reputation and brand loyalty significantly boost satisfaction, driving positive word-of-mouth (WOM). Satisfaction enhances subjective performance directly and influences both subjective and objective performance via WOM. The objective model showed superior fit due to quantifiable data reducing bias. This study underscores HEOBE’s critical role in performance, recommending enhanced branding, stakeholder satisfaction, and WOM to foster sustainable outcomes. |
| 第三語言摘要 | |
| 論文目次 |
LIST OF FIGURES .......................................................V LIST OF TABLES .......................................................VI CHAPTER 1 INTRODUCTION ................................................1 1.1 RESEARCH BACKGROUND ...............................................1 1.2 THE GROWING IMPORTANCE OF BRAND EQUITY IN HIGHER EDUCATION ........1 1.3 THE IMPACT OF ONLINE PLATFORMS ON INSTITUTIONAL BRAND EQUITY ......2 1.4 OBJECTIVE VS. SUBJECTIVE MEASURES OF INSTITUTIONAL PERFORMANCE ....3 1.5 STUDY MOTIVATION AND OBJECTIVES ...................................4 1.6 RESEARCH PROCESS ..................................................5 CHAPTER 2 LITERATURE REVIEW AND RESEARCH HYPOTHESES ...................7 2.1 ONLINE BRAND EQUITY IN HIGHER EDUCATION ...........................7 2.2 ONLINE BRAND EQUITY AND CONSUMER SATISFACTION .....................8 2.3 SATISFACTION OF STAKEHOLDERS AND WOM .............................12 2.4 THE INFLUENCE OF WOM ON INSTITUTIONAL PERFORMANCE ................13 2.5 INFLUENCE OF CONSUMER SATISFACTION ON INSTITUTIONAL PERFORMANCE ..14 2.6 CONCEPTUAL FRAMEWORK .............................................15 CHAPTER 3 RESEARCH METHODOLOGY .......................................17 3.1 RESEARCH DESIGN ..................................................17 3.2 MEASURES .........................................................17 3.3 DATA COLLECTION ..................................................19 3.4 DATA ANALYSIS PROCEDURES .........................................20 3.4.1 Data cleaning and preparation ..................................20 3.4.2 Item analysis ..................................................21 3.4.3 Confirmatory factor analysis (CFA) .............................21 3.4.4 Reliability and validity .......................................21 3.4.5 Structural Equation Modeling (SEM) .............................22 3.4.6 Data analysis ..................................................22 CHAPTER 4 DATA ANALYSIS AND RESULTS ..................................23 4.1 DESCRIPTIVE AND MODEL EVALUATION .................................23 4.2 COMMON METHOD VARIANCE ...........................................23 4.3 RELIABILITY AND VALIDITY .........................................23 4.4 CORRELATION AND DISCRIMINANT VALIDITY ............................25 4.5 MEASUREMENT MODEL ................................................28 4.6 STRUCTURAL MODELS ................................................28 4.6.1 Conceptual framework model .....................................28 4.6.2 Subjective performance model ...................................31 4.6.3 Objective performance model ....................................32 4.6.4 Explanation of HEOBE dimensions ................................34 4.6.5 Summary ........................................................36 4.7 COMPARISON OF THE SUBJECTIVE AND OBJECTIVE PERFORMANCE ...........36 4.8 EVALUATION OF HYPOTHESES .........................................38 4.8.1 Online brand equity dimensions and stakeholder satisfaction ....38 4.8.2 Stakeholder satisfaction and WOM ...............................39 4.8.3 WOM and institutional performance ..............................39 4.8.4 Satisfaction and institutional performance .....................39 4.8.5 Summary ........................................................40 CHAPTER 5 CONCLUSIONS ................................................42 5.1 DISCUSSION .......................................................42 5.2 MANAGERIAL AND PRACTICAL IMPLICATIONS ............................45 5.3 THEORETICAL CONTRIBUTIONS ........................................48 5.4 POLICY RECOMMENDATIONS FOR ADMINISTRATIVE OFFICES ................50 5.5 RESEARCH LIMITATIONS AND FUTURE RESEARCH .........................52 REFERENCES ...........................................................54 APPENDIX: SURVEY QUESTIONNAIRE .......................................63 List of Figures Figure 1 1 Research process ...........................................6 Figure 2 1 Conceptual framework ......................................16 Figure 4 1 Conceptual framework model ................................30 Figure 4 2 Subjective performance model ..............................32 Figure 4 3 Objective Performance model ...............................34 List of Tables Table 2 1 Definition of HEOBE scale construct ........................11 Table 3 1 Constructs and measurement items ...........................19 Table 3 2 Demographic characteristics of the respondents .............20 Table 4 1 Analysis of measurement model ..............................24 Table 4 2 Correlation matrix and AVE .................................27 Table 4 3 Online brand equity scale constructs by age ................36 Table 4 4 Comparison performance structural model ....................37 Table 4 5 Results of structural model ................................41 |
| 參考文獻 |
References Aaker, D. A. (1991). Managing brand equity: Capitalizing on the value of a brand name. Free Press. Aaker, D. A. (1996). Measuring brand equity across products and markets. California Management Review, 38(3), 102-120. Abdel-Maksoud, A., Dugdale, D., & Luther, R. (2005). Non-financial performance measurement in manufacturing companies. The British accounting review, 37(3), 261-297. https://doi.org/10.1016/j.bar.2005.03.003 Abubakar, A., & Ilkan, M. (2016). Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. Journal of Destination Marketing and Management, 5(3), 192-201. https://doi.org/10.1016/J.JDMM.2015.12.005 Ailawadi, K. L., Lehmann, D. R., & Neslin, S. A. (2003). Revenue premium as an outcome measure of brand equity. Journal of Marketing, 67(4), 1-17. https://doi.org/10.1509/jmkg.67.4.1.18688 Ali, F., Xu, H., & Alam, S. S. (2016). Hotel website quality, perceived flow, customer satisfaction and purchase intention. Journal of Hospitality and Tourism Technology, 7(2), 213-228. https://doi.org/10.1108/JHTT-02-2016-0010 Allen, I. E., & Seaman, J. (2017). Digital compass learning: Distance education enrollment report 2017. Babson survey research group. Al-Nsour, I. A. A. (2017). WOM effectiveness in improving the purchasing behavior: Comparative study on the private hospitals inpatients in Jordan and Saudi Arabia. Arab Economic and Business Journal, 12(1), 13-28. https://doi.org/10.1016/J.AEBJ.2017.04.003 Altbach, P.G., Reisberg, L. and Rumbley, L.E., Eds. (2009). Trends in global higher education: Tracking an academic revolution. UNESCO, Paris. Alves, H., & Raposo, M. (2010). The influence of university image on student behaviour. International Journal of Educational Management, 24(1), 73-85. https://doi.org/10.1108/09513541011013060 Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143. https://doi.org/10.1287/mksc.12.2.125 Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden. Journal of marketing, 58(3), 53-66. https://doi.org/10.1177/002224299405800304 Antoun, C., Zhang, C., Conrad, F. G., & Schober, M. F. (2016). Comparisons of online recruitment strategies for convenience samples: Craigslist, Google AdWords, Facebook, and Amazon Mechanical Turk. Field Methods, 28(3), 231-246. https://doi.org/10.1177/1525822X15603149 Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74-94. https://doi.org/10.1007/BF02723327 Baldauf, A., Cravens, K. S., & Binder, G. (2003). Performance consequences of brand equity management: Evidence from organizations in the value chain. Journal of Product & Brand Management, 12(4), 220-236. https://doi.org/10.1108/10610420310485032 Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161. https://doi.org/10.1016/0167-8116(95)00038-0 Cantallops, A. S., & Salvi, F. (2014). New consumer behavior: A review of research on e-WOM and hotels. International Journal of Hospitality Management, 36(1), 41-51. https://doi.org/10.1016/j.ijhm.2013.08.007 Casidy, R. (2014). Linking brand orientation with service quality, satisfaction, and positive word-of-mouth: Evidence from the higher education sector. Journal of Nonprofit & Public Sector Marketing, 26(2), 142-161. https://doi.org/10.1080/10495142.2014.901004 Chapleo, C. (2010). What defines “successful” university brands?. International Journal of Public Sector Management, 23(2), 169-183. https://doi.org/10.1108/09513551011022519 Chen, S. L., & Hiew, C. Z. (2022). Online brand equity for higher education in Taiwan: conceptualization, scale development, and validation. Journal of Marketing for Higher Education, 1-18. https://doi.org/10.1080/08841241.2022.2146255 Chi, C. G., & Gursoy, D. (2009). Employee satisfaction, customer satisfaction, and financial performance: An empirical examination. International journal of hospitality management, 28(2), 245-253. https://doi.org/10.1016/j.ijhm.2008.08.003 Christodoulides, G., & De Chernatony, L. (2010). Consumer-based brand equity conceptualisation and measurement: a literature review. International Journal of Market Research, 52(1), 43-66. https://doi.org/10.2501/S1470785310201053 Cunningham, B. M., & Cochi-Ficano, C. K. (2002). The determinants of donative revenue flows from alumni of higher education: An empirical inquiry. Journal of Human resources, 540-569. https://doi.org/10.2307/3069681 D’Este, P., & Patel, P. (2007). University–industry linkages in the UK: What are the factors underlying the variety of interactions with industry ?. Research policy, 36(9), 1295-1313. https://doi.org/10.1016/j.respol.2007.05.002 De Silva Lokuwaduge, C., & Armstrong, A. (2015). The impact of governance on the performance of the higher education sector in Australia. Educational Management Administration & Leadership, 43(5), 811-827. https://doi.org/10.1177/1741143214535740 Drucker, P. (1954). The practice of management. Harper & Row. Drucker, P. (1975). The practice of management. Allied Publishers (Original work published 1954). Harper & Row. Dumitriu, D., Militaru, G., Deselnicu, D. C., Niculescu, A., & Popescu, M. A. M. (2019). A perspective over modern SMEs: Managing brand equity, growth and sustainability through digital marketing tools and techniques. Sustainability, 11(7), 2111. https://doi.org/10.3390/su11072111. Elsharnouby, T. H. (2015). Student co-creation behavior in higher education: The role of satisfaction with the university experience. Journal of marketing for higher education, 25(2), 238-262. https://doi.org/10.1080/08841241.2015.1059919 Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of marketing, 56(1), 6-21. https://doi.org/10.2307/1252129 Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312 Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature. https://doi.org/10.1007/978-3-030-80519-7 Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall. Hightower Jr, R., Brady, M. K., & Baker, T. L. (2002). Investigating the role of the physical environment in hedonic service consumption: An exploratory study of sporting events. Journal of Business Research, 55(9), 697-707. https://doi.org/10.1016/S0148-2963(00)00211-3 Homburg, C., Koschate, N., & Hoyer, W. D. (2005). Do satisfied customers really pay more? A study of the relationship between customer satisfaction and willingness to pay. Journal of marketing, 69(2), 84-96. https://doi.org/10.1509/jmkg.69.2.84.60760 Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118 Huberman, B. A., & Adamic, L. A. (1999). Growth dynamics of the World-Wide Web. Nature, 401(6749), 131. https://doi.org/10.1038/43604 Jalilvand, M. R., & Samiei, N. (2012). The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TPB). Internet research, 22(5), 591-612. https://doi.org/10.1108/10662241211271563 Kärnä, S., & Julin, P. (2015). A framework for measuring student and staff satisfaction with university campus facilities. Quality Assurance in Education, 23(1), 47-66. https://doi.org/10.1108/QAE-10-2013-0041 Kaushal, V., & Ali, N. (2020). University reputation, brand attachment and brand personality as antecedents of student loyalty: A study in higher education context. Corporate reputation review, 23(4), 254-266. https://doi.org/10.1057/s41299-019-00084-y Kazungu, I., & Kubenea, H. (2023). Customer satisfaction as a mediator of service facility and word of mouth in higher learning institutions. Journal of Applied Research in Higher Education, 15(5), 1649-1663. https://doi.org/10.1108/JARHE-04-2022-0128 Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1-22. https://doi.org/10.1177/002224299305700101 Keller, K. L. (2008). Strategic brand management: Building, measuring, and managing brand equity. Pearson Prentice Hall. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press. Kotler, P., & Fox, K. (1995). Strategic Marketing for Educational Institutions. Prentice-Hall. Kotler, P., Keller, K. L., & Chernev, A. (2021). Marketing management (16th ed.). Pearson. Lee, J., & Youn, S. (2017). A literature review of word of mouth and electronic word of mouth: Implications for consumer behavior. Frontiers in Psychology, 8, 1256. https://doi.org/10.3389/fpsyg.2017.01256 Marginson, S. (2006). Dynamics of national and global competition in higher education. Higher education, 52, 1-39. https://doi.org/10.1007/s10734-004-7649-x Miotto, G., Del-Castillo-Feito, C., & Blanco-González, A. (2020). Reputation and legitimacy: Key factors for Higher Education Institutions’ sustained competitive advantage. Journal of Business Research, 112, 342-353. https://doi.org/10.1016/j.jbusres.2019.11.076 Mittal, V., Anderson, E. W., Sayrak, A., & Tadikamalla, P. (2005). Dual emphasis and the long-term financial impact of customer satisfaction. Marketing science, 24(4), 544-555. https://doi.org/10.1287/mksc.1050.0142 Momen, M. A., Sultana, S., & Haque, A. A. (2020). Web-based marketing communication to develop brand image and brand equity of higher educational institutions: A structural equation modelling approach. Global Knowledge, Memory and Communication, 69(3), 151-169. https://doi.org/10.1108/GKMC-10-2018-0088 Mourad, M., Ennew, C., & Kortam, W. (2011). Brand equity in higher education. Marketing Intelligence & Planning, 29(4), 403-420. https://doi.org/10.1108/02634501111138563 Mourad, M., Meshreki, H., & Sarofim, S. (2020). Brand equity in higher education: Comparative analysis. Studies in Higher Education, 45(1), 209-231. https://doi.org/10.1080/03075079.2019.1582012 Ng, P., & Galbraith, C. (2016). Strategic enrolment management (SEM) in self-financed higher education of Hong Kong: Evaluation and measurement. Asia Pacific Education Review, 17, 161-174. https://doi.org/10.1007/s12564-016-9418-9 Nunnally, J., & Bernstein, I. (1994). Psychometric theory (3rd ed). MacGraw-Hill. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.2307/3150499 Pinar, M., Girard, T., & Basfirinci, C. (2020). Examining the relationship between brand equity dimensions and university brand equity: An empirical study in Turkey. International Journal of Educational Management, 34(7), 1119-1141. https://doi.org/10.1108/IJEM-08-2019-0313 Pinar, M., Trapp, P., Girard, T., & Boyt, T. E. (2014). University brand equity: An empirical investigation of its dimensions. International Journal of Educational Management, 28(6), 616-634. https://doi.org/10.1108/IJEM-04-2013-0051 Pringle, J., & Fritz, S. (2019). The university brand and social media: Using data analytics to assess brand authenticity. Journal of Marketing for Higher Education, 29(1), 19-44. https://doi.org/10.1080/08841241.2018.1486345 Quan, N., Chi, N. T. K. C., Nhung, D., Ngan, N., & Phong, L. (2020). The influence of website brand equity, e-brand experience on e-loyalty: The mediating role of e-satisfaction. Management Science Letters, 10(1), 63-76. https://doi.org/10.5267/j.msl.2019.8.015 Ray, A., Bala, P. K., Chakraborty, S., & Dasgupta, S. A. (2020). Exploring the impact of different factors on brand equity and intention to take up online courses from e-learning platforms. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102351 Rios, R. E., & Riquelme, H. E. (2008). Brand equity for online companies. Marketing Intelligence & Planning, 26(7), 719-742. https://doi.org/10.1108/02634500810916681 Santini, F. D. O., Ladeira, W. J., Sampaio, C. H., & da Silva Costa, G. (2017). Student satisfaction in higher education: A meta-analytic study. Journal of Marketing for Higher Education, 27(1), 1-18. https://doi.org/10.1080/08841241.2017.1311980 Sinsomboonthong, S. (2022). Performance comparison of new adjusted min‐max with decimal scaling and statistical column normalization methods for artificial neural network classification. International Journal of Mathematics and Mathematical Sciences, 2022(1), 3584406. https://doi.org/10.1155/2022/3584406 Stephenson, A. L., & Yerger, D. B. (2014). Optimizing engagement: Brand identification and alumni donation behaviors. International Journal of Educational Management, 28(6), 765-778. https://doi.org/10.1108/IJEM-04-2013-0057 Stevens, J. (2002). Applied multivariate statistics for the social sciences (4th ed). Mahwah, Lawrence Erlbaum Associates. Thorndike, E. L. (1914). Measurement of intelligence. Columbia University, Teachers College. Wall, T. D., Michie, J., Patterson, M., Wood, S. J., Sheehan, M., Clegg, C. W., & West, M. (2004). On the validity of subjective measures of company performance. Personnel Psychology, 57(1), 95-118. https://doi.org/10.1111/j.1744-6570.2004.tb02485.x Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing reliability and stability in panel models. Sociological methodology/Jossy-Bass, 8, 84-136. http://dx.doi.org/10.2307/270754 Williams, M., & Buttle, F. (2011). The eight pillars of WOM management: Lessons from a multiple case study. Australasian Marketing Journal, 19(2), 85-92. https://doi.org/10.1016/j.ausmj.2011.01.001 Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of Business Research, 52(1), 1-14. https://doi.org/10.1016/S0148-2963(99)00098-3 Zhang, Z., Zhang, Z., & Law, R. (2014). Positive and negative Word of Mouth about restaurants: Exploring the asymmetric impact of the performance of attributes. Asia Pacific Journal of Tourism Research, 19(2), 162-180. https://doi.org/10.1080/10941665.2012.735680 |
| 論文全文使用權限 |
如有問題,歡迎洽詢!
圖書館數位資訊組 (02)2621-5656 轉 2487 或 來信