Purpose: 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 Design/methodology/approach: 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: 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 Practical implications: 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 Originality/value: 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 © 2020, Emerald Publishing Limited

/pdf/the-role-of-digital-learning-toward-students-satisfaction-3n6jr4irqd.pdf

The role of digital learning toward students' satisfaction and university brand image at educational institutes of Pakistan: a post-effect of COVID-19

The COVID-19 has caused a state of emergency not only in the UAE but also around the globe. Following the preventive measures, the government of UAE has closed temporarily all types of educational institutes, replacing them by other institutes, thus shifting to e-learning. Therefore, this study aims at examining the role of information and communication technology, e-service quality, and e-information quality towards the brand image of universities by concentrating on students’ e-learning. More specifically, this study investigates the impact of the information and communication ethnobiology post COVID-19 on the university’s brand image of Alain University in UAE as one of the leading universities. The contribution of the study is twofold. First, the study is among the pioneering studies that have proposed a framework to develop an excellent online learning system, which can promote the university’s brand image. Second, this study fills the gap by investigating the subject in the context of a Gulf country, which is among the most affected thirty countries due to COVID-19. It is, therefore, a critical contemporary issue for governments, higher education commissions, and universities to understand the antecedents of the online learning system and their relationships with the university's brand image.

The e-Learning of Students and University’s Brand Image (Post COVID-19): How Successfully Al-Ain University Have Embraced the Paradigm Shift in Digital Learning

This study aims to analyze the effect of information and communication technology on e-learning and school brand image. The research method uses a quantitative approach, the sample in this study is vocational school students, the data collection method uses a questionnaire, and the data analysis method uses Structural Equotion Modeling. The results of data analysis show that e-learning is influenced by ICT and e-service quality. E-WOM and student satisfaction are influenced by e-learning, while school brand image is influenced by e-WOM and student satisfaction. This study contributes to the literature by developing a framework for responding to COVID-19.

Effect ict on e-learning and school brand image

This paper proposed a new generalization of bounded continuous multivariate symmetric probability distributions. More specifically the authors visualizes a new generalization of Sam-Solai’s multivariate additive Beta distribution of Kind-2 of Type-A from the uni-variate two parameter Beta distribution of Kind-1. Further,we find its marginal, multivariate conditional distributions, multivariate generating functions, multivariate survival, hazard functions and also discussed it’s special cases. The special cases includes the transformation of Sam-Solai’s multivariate additive Beta distribution of Kind 2 of Type-A into multivariate additive Beta distribution of Kind-1 of Type-A, Multivariate F-distribution of Kind-1, Multivariate standard Logistic-Beta distribution of Kind-1. Moreover, it is found that the bivariate correlation between two Beta random variables purely depends on the shape parameter and we simulated and established selected standard bivariate Beta correlation bounds from 10,000 different combinations of values for shape parameter.

http://www.isca.in/IJMS/Archive/v1/i2/3.ISCA-RJMgtS-2012-024.pdf

A New Generalisation of Sam-Solai's Multivariate Additive Beta Distribution of Kind-2 of Type-A

The research made an attempt to evaluate the impact of brand image of face cream on the customer satisfaction and the loyalty intention of the customer. The study addresses the following issues. What is brand image? How brand image, impacts the customer satisfaction and loyalty intention? Is brand image and customer satisfaction are correlated? These are the major research issues. Hence the researcher undertook a scientific enquiry to evaluate the brand image of face cream and it is impact on satisfaction and loyalty intention of the customer located in Trichy city.

Modeling the brand image of cosmetics and its impact on customer satisfaction and loyalty intention with special reference to face creams

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Sam Jayakumar

Author Tools

Chat about Author

Papers

A New Generalisation of Sam-Solai's Multivariate Additive Beta Distribution of Kind-2 of Type-A

Modeling the brand image of cosmetics and its impact on customer satisfaction and loyalty intention with special reference to face creams