scholarly journals The Impact of Marketing Strategies and Satisfaction on Student Loyalty: A Structural Equation Model Approach

2016 ◽  
Vol 9 (8) ◽  
pp. 94 ◽  
Author(s):  
Yu-Chuan Chen
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Model ◽  
Marketing Strategies ◽  
Intermediate Variable ◽  
Student Loyalty ◽  
Educational Market ◽  
The Impact

<p class="apa">The dynamic changes in higher education observed over the last 20 years have transformed the educational market. The potential value of promoting student satisfaction and loyalty in higher education has become a significant issue. This study investigates the directions and strengths of the relationships among marketing strategies, student satisfaction, and loyalty in Taiwanese higher education. Structural equation models were used to validate the measure and test the proposed relationships. The study tested two hypotheses: marketing strategies are positively related to student satisfaction (H1), and student satisfaction is positively related to student loyalty (H3). These findings indicate that student satisfaction is a key intermediate variable for marketing strategies and student loyalty. This study’s results provide several important implications for managers in higher education.</p>

scholarly journals The Influence of Service Quality, Institutional Reputation, Students’ Satisfaction on Students’ Loyalty in Higher Education Institution

2019 ◽  
Vol 1 (5) ◽  
Author(s):  
Muhammad Bakrie ◽  
Bedjo Sujanto ◽  
Rugaiyah Rugaiyah
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Education Institution ◽  
Survey Method ◽  
Student Loyalty ◽  
Strategic Plans ◽  
Institutional Reputation

Research highlights the influence of service quality, institutional reputation, student satisfaction in building student loyalty. Quantitative approach was used with a survey method. The research respondents were 185 students from PGRI University Palembang. Analysis techniques using variance-based structural equation models (SEM) SmartPLS. The results of the study shows that service quality has a significant effect on reputation and student satisfaction, but service quality and student satisfaction have no significant effect on student loyalty. On the contrary, the reputation of an institution has a very significant direct effect on loyalty. Student service quality has a significant indirect effect on student loyalty through the reputation of the institution, this implies that the reputation of the institution carries a relative influence relationship between service quality on student loyalty. These findings can help higher education institutions to make better strategic plans to increase student loyalty.

scholarly journals Academic student satisfaction and perceived performance in the e-learning environment during the COVID-19 pandemic: Evidence across ten countries

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258807
Author(s):  
Damijana Keržič ◽  
Jogymol Kalariparampil Alex ◽  
Roxana Pamela Balbontín Alvarado ◽  
Denilson da Silva Bezerra ◽  
Maria Cheraghi ◽  
...  
Keyword(s):  
Higher Education ◽  
Online Education ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Online Survey ◽  
Active Role ◽  
Equation Model ◽  
System Quality ◽  
E Learning ◽  
The Impact

The outbreak of the COVID-19 pandemic has dramatically shaped higher education and seen the distinct rise of e-learning as a compulsory element of the modern educational landscape. Accordingly, this study highlights the factors which have influenced how students perceive their academic performance during this emergency changeover to e-learning. The empirical analysis is performed on a sample of 10,092 higher education students from 10 countries across 4 continents during the pandemic’s first wave through an online survey. A structural equation model revealed the quality of e-learning was mainly derived from service quality, the teacher’s active role in the process of online education, and the overall system quality, while the students’ digital competencies and online interactions with their colleagues and teachers were considered to be slightly less important factors. The impact of e-learning quality on the students’ performance was strongly mediated by their satisfaction with e-learning. In general, the model gave quite consistent results across countries, gender, study fields, and levels of study. The findings provide a basis for policy recommendations to support decision-makers incorporate e-learning issues in the current and any new similar circumstances.

scholarly journals Patient Engagement in Health Management as a Mediator Between Perceived Risk and COVID-19 Related Distress in Patients With IBD: A Structural Equation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Greta Castellini ◽  
Lorenzo Palamenghi ◽  
Mariarosaria Savarese ◽  
Serena Barello ◽  
Salvatore Leone ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Perceived Stress ◽  
Patient Engagement ◽  
Perceived Risk ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Health Management ◽  
Equation Model ◽  
Online Questionnaire ◽  
The Impact

Objective: This study aimed to evaluate the impact of the COVID-19 emergency on patients with IBD's psychological distress, understanding the role of patient engagement as a mediator.Methods: An online questionnaire was created, measuring perceived risk susceptibility toward COVID-19, perceived stress, and patient engagement. The questionnaire was distributed to a purposive sample of IBD patients who belonged to the Italian Association for patients with IBD (AMICI Onlus) in April 2020. Structural equation models were implemented.Results: The effect of the perceived risk susceptibility toward COVID-19 contagion on the perceived stress is fully mediated by patient engagement (β = 0.306, p &lt; 0.001). Moreover, the patient engagement mitigates the perceived stress (β = −0.748, p &lt; 0.001) in our sample of IBD patients, and it is negatively influenced by the perceived risk susceptibility toward COVID-19 (β = −0.410, p &lt; 0.001).Conclusion: Patient engagement is the key factor that explains how the perceived risk susceptibility toward COVID-19 affects the perceived psychological distress in patients with IBD, underlining that the perceived risk of contagion increases their perceived level of stress through a decrease of patient engagement.

scholarly journals Pengaruh Kualitas Layanan dan Kepuasan Terhadap Loyalitas Mahasiswa (Studi Kasus Program Pascasarjana Fakultas Ekonomi dan Bisnis Universitas Airlangga)

2021 ◽  
Vol 8 (1) ◽  
pp. 103-109
Author(s):  
Windasari Windasari ◽  
Soedjarwo Soedjarwo ◽  
Toho Cholik Mutohir
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Analysis Data ◽  
Organization Culture ◽  
University Education ◽  
Equation Modeling ◽  
Academic Quality ◽  
Student Loyalty

Higher education institutions need to reform the organization culture of a bureucratic university become a corporate university. Education will be oriented towards high academic quality, service quality, and as well as student satisfaction. The purposes of this study are to measure and determine the effect of service quality and satisfaction on student loyalty in higher education sector. Data collection technique is done by distributing questionnaires with 5-point likert scale. There are 151 students chosen using cluster random sampling. The validity test used factor analysis. Data analysis technique was done using Structural Equation Modeling (SEM) with the help of the AMOS version 21.0 program. The result of the research shows that service quality and satisfaction simultaneously affect student loyalty.

scholarly journals Student’s Satisfaction of the Quality of Online Learning in Higher Education: An Empirical Study

2021 ◽  
Vol 13 (21) ◽  
pp. 11960
Author(s):  
Carmen Jiménez-Bucarey ◽  
Ángel Acevedo-Duque ◽  
Sheyla Müller-Pérez ◽  
Luis Aguilar-Gallardo ◽  
Miguel Mora-Moscoso ◽  
...  
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Service Quality ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Digital Transformation ◽  
Three Dimensions ◽  
Technical Service ◽  
The Impact

Higher education institutions (HEIs) have been facing a digital transformation in online learning as a result of the restrictions generated by COVID-19. Therefore, identifying which are the elements that influence student satisfaction will allow HEIs to establish strategies to ensure the quality of the digital transformation. This study proposes a model that measures student satisfaction considering three dimensions: teacher quality, technical service quality and service quality. Then, the impact of each dimension on student satisfaction is estimated using a Partial Least Squares Structural Equation Model (PLS-SEM), and finally an Importance-Performance Map Analysis (IPMA) was performed to identify the improvements that should be made to increase student satisfaction. When analyzing the responses of 1430 students at the School of Medicine, it was found that the quality of technical service should be improved, specifically training, and encouraging teachers to use strategies that allow student participation.

Evaluating Online Programs Using a BSC Approach

2011 ◽  
pp. 875-881
Author(s):  
Barbara J. Keinath
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Online Programs ◽  
For Profit ◽  
External Forces ◽  
Educational Market ◽  
The Impact

Accountability pressures on higher education have increased in recent decades (Dill, 1999; Garvin, 2000; Jacob & Hellström, 2003). Pressure for financial accountability stacks up alongside pressures to assess student learning outcomes. Student satisfaction has always been a factor in institutional success, but added mobility and growth in the for-profit educational market have increased the impact of student satisfaction. Further, citizens, parents of students, alumni, taxpayers, and, for the for-profit institutions, shareholders constitute powerful external forces.

scholarly journals Explaining Loyalty in Higher Education: A Model and Comparative Analysis from the Policy of Gratuity, a Case Applied to Chile

2021 ◽  
Vol 13 (19) ◽  
pp. 10781
Author(s):  
Maritza Katherine Galindo-Illanes ◽  
Juan Alejandro Gallegos-Mardones ◽  
Arturo Z. Vasquez-Parraga
Keyword(s):  
Higher Education ◽  
Comparative Analysis ◽  
Student Satisfaction ◽  
Family Income ◽  
Marketing Strategies ◽  
Financial Responsibility ◽  
Student Loyalty ◽  
Cost Of Education ◽  
The Cost

Since the 1980s, numerous transformations in higher education were experienced in Latin America, and especially in Chile, a country that allowed private entities to enter the education systems and develop a market. The opportunity triggered an increase of coverage and competition to capture and retain students, followed by marketing strategies delivering student satisfaction and pursuing student loyalty. Moreover, since 2012, higher education institutions in Chile have been allowed to adopt a policy of gratuity, giving families the co-responsibility of dealing with the cost of education. So, some institutions adopted gratuity and continued receiving funds from the state, but others did not, relying instead on family income. The split in the financial responsibility of higher education seems to have generated varied reactions from the students and their families, including their satisfaction with and loyalty to the institution. Despite the abundant literature on higher education, however, a few studies attempt to explain and compare student satisfaction and loyalty across types of institutions, such as those that opted for gratuity versus those that did not. This study examines a set of relevant attributes for understanding that phenomenon; attributes such as quality of service, satisfaction, trust, commitment, and loyalty. The results reveal a prevalence of trust and familiarity among the students attending an institution with gratuity. In contrast, the results demonstrate a preponderance of commitment and satisfaction among the students attending a non-gratuity institution that relies on family, private, and personal funds to support their education.

scholarly journals Which Matters More in Higher Education: Social Environment or Teaching Excellence? A Comparison Between Private and Public Universities

2021 ◽  
Vol 11 (1) ◽  
pp. 51-62
Author(s):  
Önder Kethüda
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Social Environment ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Higher Education Institutions ◽  
Equation Modeling ◽  
Teaching Excellence ◽  
Student Loyalty ◽  
University Image

The competition among higher education institutions to attract and retain prospective students is constantly getting fiercer. Therefore, it is important to investigate the factors that affect student satisfaction, student loyalty, and perceived image of a university. This study aims to identify and compare the influence of social environment and teaching excellence provided to students on institutions' university image, student satisfaction, and student loyalty. The data were collected from 829 undergraduate students who were studying at 15 universities, five public and ten private, in Istanbul. The data were analyzed by Structural Equation Modeling. The hypotheses were tested by using path analysis in AMOS and Independent Sample t-Test in SPSS. The results provide evidence that both social environment and teaching excellence have a direct significant influence on the image of a university and student satisfaction, together with an indirect influence on student loyalty through university image and student satisfaction. Some suggestions for higher education institutions are made based on the differences between coefficients among variables.

The relationships between brand association, trust, commitment, and satisfaction of higher education institutions

2017 ◽  
Vol 31 (7) ◽  
pp. 973-985 ◽  
Author(s):  
Yu-Chuan Chen
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Higher Education Institutions ◽  
Equation Model ◽  
Direct Influence ◽  
Content Type ◽  
Brand Association ◽  
Student Trust

Purpose The purpose of this paper is to explore structural relationships among the variables of brand association, student trust, commitment, and satisfaction in the higher education sector. Design/methodology/approach A survey was used to collect data from a sample of 500 students who studied at universities in Taiwan in 2016. These data were gathered using a convenience sampling method and analyzed using a structural equation model. A total of 371 questionnaires (74.2 percent) were considered valid. Due to testing and identifying the hypothesis and structure among those variables, structural equation modeling was used to determine the best model among brand association, trust, commitment, and satisfaction. Findings For the conceptual framework, the author found that this structural equation model complies with the empirical data. The structural equation model shows that brand association, student trust, and commitment were significantly related to student satisfaction. Brand association has a direct influence on student trust, commitment, and satisfaction in higher education institutions. Student trust and commitment also had a direct influence on student satisfaction, and they are all mediating variables. Originality/value The findings of the current study add to the existing literature by contributing to a better perception of university management and providing acceptable strategies to improve the higher education industry.

scholarly journals Satisfação Dos Estudantes Da Educação Superior Com O Ensino Remoto Durante A Pandemia

2022 ◽  
Vol 3 (1) ◽  
pp. 86-104
Author(s):  
Fernanda Cristina Barbosa Pereira Queiroz ◽  
Christian Luis Da Silva ◽  
NILTON CÉZAR LIMA ◽  
JAMERSON VIEGAS QUEIROZ ◽  
Eduardo Lopes Marques ◽  
...  
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Positive Relationship ◽  
Descriptive Analysis ◽  
Individual Characteristics ◽  
Equation Modeling ◽  
Research Findings ◽  
Almost All ◽  
The Impact

Devido à pandemia da Covid-19 surgiu a necessidade de distanciamento social a fim de evitar o contágio e, como consequência, o ensino remoto (ER) foi adotado como um regime excepcional por quase todas as Instituições de Educação Superior (IES), no mundo, em 2020. O principal objetivo desta pesquisa é identificar os fatores mais importantes, na percepção dos estudantes, que afetaram a satisfação deles com o ER. Este estudo utilizou uma abordagem quantitativa, por um método de amostragem não probabilístico, por meio da análise de 311 questionários respondidos online. O software R foi utilizado para a análise descritiva e o SmartPLS para analisar os dados recorrendo-se à modelagem de equações estruturais no intuito de examinar a relação entre variáveis ​​independentes e dependentes. Verificou-se uma relação positiva e significativa entre os constructos, e as duas hipóteses sugeridas foram confirmadas, sendo que H1: há uma relação positiva entre a percepção de qualidade e a satisfação dos estudantes com o ER e H2: há uma relação positiva entre as características individuais dos estudantes e a satisfação com o ER. Os resultados da pesquisa contribuem para a discussão acerca do impacto da pandemia na educação superior e agrega conhecimento em relação aos determinantes da satisfação do estudante com o ER.   Due to the Covid-19 pandemic the need for social distancing arose in order to avoid contagion and as a consequence, remote learning (RE) was adopted as an exceptional regime by almost all Higher Education Institutions (HEIs), worldwide, in 2020. The main objective of this research is to identify the most important factors, in students' perception, that affected their satisfaction with ER. This study used a quantitative approach, by a non-probability sampling method, through the analysis of 311 questionnaires answered online. R software was used for descriptive analysis and SmartPLS to analyze the data using structural equation modeling to examine the relationship between independent and dependent variables. There was a positive and significant relationship between the constructs, and the two suggested hypotheses were confirmed, being H1: there is a positive relationship between perceived quality and students' satisfaction with RE and H2: there is a positive relationship between students' individual characteristics and satisfaction with RE. The research findings contribute to the discussion about the impact of pandemic on higher education and adds knowledge regarding the determinants of student satisfaction with RE.

Sign in / Sign up

Export Citation Format

Share Document