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The purpose of this paper is to analyse the influence of image on student satisfaction and loyalty.

In order to accomplish the objectives proposed, a model reflecting the influence of image on student satisfaction and loyalty is applied. The model is tested through use of structural equations and the final sample is of 2,687 students.

The model shows that image is the construct that most influences student satisfaction. The influence of image is also relevant on student loyalty.

In this paper, the constructs of image resulted in a reliability level of 0.846; future research is needed in order to find more reliable image measurement indicators.

If higher education institutions have to compete through image, the first step to take is to measure the university image held by its students. It is proven by this paper that the construct which most influences student satisfaction in higher education is the image construct, with a total effect of 0.86. Thus, if the institutional image rises or falls by a unit in terms of valorisation, satisfaction increases or diminishes by a proportion of 0.86 and loyalty by a proportion of 0.73.

Several studies have shown that, in general, corporate image is important to attract and retain customers. This paper depicts the specific influences of image specifically on student satisfaction and student loyalty and also the respective level of influence.

The purpose of this research is to investigate general patterns of tag usage and determines the usefulness of the tags used within university image groups to the wider Flickr community. There has been a significant rise in the use of Web 2.0 social network web sites and online applications in recent years. One of the most popular is Flickr, an online image management application.

This study uses a webometric data collection, classification and informetric analysis.

The results show that members of university image groups tend to tag in a manner that is of use to users of the system as a whole rather than merely for the tag creator.

This paper gives a valuable insight into the tagging practices of image groups in Flickr.

The purpose of this paper is to investigate the relationship between service quality, program quality, institutional image and student satisfaction in the context of higher education. Additionally, the study attempts to describe the mediating impact of institutional image between service quality, program quality and student satisfaction.

The structural equation modeling was used to analyze the influence of mediating variable and hypotheses testing. The population of this study was fourth-year business students of nine “grade one” private universities in Bangladesh. Data (n = 310) were gathered from students pursuing studies at different private universities in Bangladesh.

The findings of this study revealed that image occupied full mediation role between service quality and student satisfaction. Furthermore, it also disclosed that the direct path of service quality and student satisfaction was not statistically significant.

These unique findings imply that academic authorities should nurture the institutional image and program quality rigorously to enhance student satisfaction. The findings of this study would benefit both practitioners and academics, especially in the perspective of Bangladesh private higher education.

Past researchers have examined the direct affiliation between service quality and student satisfaction. Hence, there is a deficiency of indirect link between service quality and student satisfaction. This study has incorporated image as a mediating variable to fulfill the deficiency in higher education.

This study is undertaken to examine the role of information and communication technology (ICT), e-service quality and e-information quality towards brand image of universities by concentrating on students’ e-learning, e-word of mouth and satisfaction.

The target population was the students of public and private universities in Pakistan. Data collected using an e-questionnaire by 408 students were subjected to PLS-SEM for analysis.

Findings revealed that ICT, e-service quality and e-information quality are positively contributed toward students' e-learning which ultimately leads to create positive e-word of mouth and students' satisfaction. Meanwhile, results also identified that e-word of mouth and students' satisfaction lead to generate a positive brand image of universities.

This study has unique implications for universities to develop an e-learning platform to facilitate their students in this situation of COVID-19. It provides guidelines for educational institutions to implement the learning management system effectively with a view to facilitate the students with education.

This study has novel contribution in literature in the domain of digital learning. It is unique in a way to integrate the usage of technology with students' e-learning and satisfaction that ultimately create brand image of universities.

“Create an image for your company or your competitors will do it for you.” In the higher education sector this statement by Keever is equally true; as competition for students increases and funding decreases universities and technikons need to create and maintain a distinctive image in the market place. Higher education institutions are becoming increasingly aggressive in their marketing activities to convey an image that is favourable to their public, be they prospective students, employers, funders etc. Investigates how marketing is used to convey higher education institution type image in the UK and South Africa. Using correspondence analysis, shows the unique positionings that have been created by the old UK universities, the new UK universities, South African universities and technikons. Also identifies which marketing tools these institution types use in conveying their institutional image.

The purpose of this paper is to investigate and report students’ perception of service quality in a university by examining the perceptual context of service quality with respect to students’ loyalty behavior, image of the university and culture/values.

A research framework is developed for quality assessment with three hypotheses. A questionnaire with 65 instruments was used for gathering the required data for the analysis. The questionnaire was sent through email to all engineering students. The analysis included descriptive statistics, reliability analysis, gap analysis and hypotheses tests. Seven dimensions of service quality were identified: the original dimensions of the SERVQUAL, namely, reliability, responsiveness, assurance, empathy and tangibles. Two additional dimensions image and culture/value were added for the research to understand perceived service quality and loyalty.

The results provide a significant positive correlation between service quality and student's loyalty. It also shows that there is statistically significant relation between the image of the institution and the perceived service quality, and culture/values of the students in the institution and perceived service quality.

This study used data collected from a survey in the university in a given period.

The findings indicate that to provide quality education, meeting students’ needs, wants and expectations of services quality should be carefully understood and addressed. Management also needs to consider factors such as corporate image and culture/value, as they have the ability to heavily impact the type of services provided by the institution.

The findings presented in this paper fill the gap in the current literature by providing empirical knowledge on the quality of service assessment and customer satisfaction in the higher education context. The study is the first of its kind in Qatar’s context and provides opportunities for higher institutions to focus more on current students’ services. This can lead to an increased brand value representing one of the premier institutes of higher education in the Middle East Gulf Region.

Organizational identity provides an increasingly large number of researchers with a theoretical lens for examining current transformations of the university. The primary objective of this chapter is to report an extensive, systematic overview of the literature published on the subject between 1972 and 2014. The analysis of 120 empirical studies reveals a literature which is rich but dispersed, in theoretical, epistemological, and methodological terms. Thriving since the 2000s, it is mainly American but increasingly globalized. After identifying six main research categories according to the distinctions found in the organizational identity literature, we propose a series of avenues for discussion bearing on the status of identity as an indicator of changes at work in the university, their level and depth.

The current paper explores the messages through which low‐stratified higher education (HE) institutions strive to increase their organisational image and “product” status and concurrently to attract prospective students. Thus, by a qualitative content analysis of 66 advertisements of teacher training colleges in Israel, the paper provides insight into the complexity of re‐building new images for HE institutions that have long suffered, and still suffer, from a low public image. It is argued here that both the messages directed to transmit a more “academic”, “professional” and “university‐like” image, and the messages aimed to emphasise the personal advantages gained by applying to the colleges, may, ironically, further weaken the publicly low‐academic image of the low stratified HE institutions and re‐position them in the post‐secondary system. Practical implications for marketing the low‐stratified HE institutions are suggested.

The COVID-19 pandemic has brought tremendous changes in society. Universities were among the few organisations with some previous knowledge of online education, being able to rapidly adapt by transferring already known best practices to the new context. As teaching moved to online, students encountered less sustainable implementation by their universities. This allowed the development of previously planned sustainable strategies so that when face-to-face teaching resumed, universities could be even more sustainable. This paper aims to explore loyalty to the sustainable university during the later COVID-19 pandemic based on the university’s efforts to manage a green campus.

To investigate loyalty towards the sustainable university during the later COVID-19 pandemic, a conceptual model is proposed. This research is grounded in an empirical investigation using a quantitative online survey implemented with online interviews, the relations between all latent constructs being analysed with SmartPLS.

The results show that university sustainability reflects student loyalty, outlining the image developed under the influence of green campus management. The results show that universities must intensify their efforts to support the sustainable agenda and create a sustainable academic brand, inducing student loyalty. The findings may attract the attention of other universities wishing to gain knowledge about the factors that students consider important in generating their loyalty.

As this research was carried out in the later COVID-19 pandemic context from 2021, the students already had experience of online teaching, so their assessment of the sustainability strategies implemented could be quite different from their perceptions in the first months of the pandemic. This research provides a comprehensive insight into the overall strategy that a sustainable university might apply in a crisis context.

Research has shown that green campus management has a positive impact on the sustainability of a university’s image, on how students perceive the university at which they study and on the university’s efforts to ensure efficient campus management. These factors contribute to the development of a strong and sustainable image of the university within the community.

The originality of this paper lies in the research questions designed to conceptualise and operationalise the generation of students' loyalty towards their university by encouraging and implementing sustainable strategies on campus. This paper highlights a structural model that combines strategic practices to determine students' loyalty towards a sustainable university during the COVID-19 pandemic.

The purpose of this paper is to examine whether the image of the university, environment, facilities, student expectations, internationalization, services, financial support and perceived value have direct effect on the satisfaction and loyalty of the students of social sciences at Meijo (Private) University, Japan.

To analyze the data, a confirmatory factor analysis was applied where it explored the associations between items and constructs and, then, utilized structural equation model (SEM) to investigate the relationships existing between constructs with the application of the R program. A structured questionnaire comprising of 52 questions were used with 10 constructs. A total of 257 students from Meijo (private) university filled in the newly developed questionnaires using seven items Likert scales.

The study reveals a valuable insight on student satisfaction and loyalty toward the university. According to the findings, satisfaction has a positive direct impact from services and financial support provided by the university. And also loyalty has a positive strong impact on student satisfaction. On the contrary, satisfaction reveals a positive strong direct impact on loyalty too. Furthermore, there is an indirect impact of image, services and perceived value on loyalty. All the goodness of fit indices are at acceptable levels. Thus, the satisfaction of students seems to reflect quite well from the above construct, image, services, financial support and perceived values.

This study collected data from two faculties, Faculty of Business Management and Faculty of Economics. The results of this finding cannot be generalized to the entire Meijo university student as a whole.

This study successfully applied an SEM to identify the relationship among constructs. Thus, this research has hopefully opened up avenues for other researchers to carry out such behavioral studies with larger sample sizes by applying R program with SEM analysis.