Kajian faktor-faktor yang mempengaruhi keutamaan dalam kalangan pelajar universiti awam di Malaysia terhadap perbankan Islam. Perpustakaan Universiti Malaysia Kelantan berhak membuat salinan untuk tujuan penyelidikan sahaja. UMK : Universiti Malaysia Kelantan UMP : Universiti Malaysia Pahang UMS : Universiti Malaysia Sabah UMT : Universiti Malaysia Terengganu UNIMAP : Universiti Malaysia Perlis UNIMAS : Universiti Malaysia Sarawak UniSZA : Universiti Sultan Zainal Abidin Malaysia UPM UPM.
According to the findings, the quality of service and bank reputation provided by Islamic banks are the primary factors that strongly influence students' preference for Islamic banking.
INTRODUCTION
- Problem Statement
- Research Questions
- Research Objectives
- Scope of The Study
- Significant of The Study
- Definition of Terms
- Organization of The Study
In light of this, it is imperative that the Islamic banking industry develops effective marketing strategies. Furthermore, the expansion of Islamic banking products and services is primarily driven by corporate customers, not individuals. It is thus possible for researchers to research Islamic banking and finance in the light of the knowledge that has already been accumulated.
In this regard, it can also be used to promote and increase awareness of Islamic banking products and services.
LITERATURE REVIEW
- Underpinning Theory .1 Theory of Planned Behavior
- Previous Studies
- Hypotheses Statement
- Conceptual Framework
- Summary / Conclusion
The study by Dawami (2020) investigates the most influential factors in a Malaysian consumer's preference for Islamic banking products and services. H2: There is a relationship between bank reputation and public university students' preferences for Islamic banking. H2 There is a relationship between bank reputation and public university students' preferences for Islamic banking.
H4 There is a relationship between service quality and the public university students' preferences for Islamic banking.
RESEARCH METHODS
Research Design
Data Collection Methods
In this case, the primary data is the data that was first collected by the researcher from the questionnaires distributed to each of the respondents. It is also referred to as first-hand information collected by a researcher for research purposes. A questionnaire is the most commonly used data collection technique because each respondent is asked to answer the same set of questions, allowing the research to collect many responses efficiently.
Secondary data is also used to provide context for the findings, taking into account the diverse perspectives of the study participants.
Study Population
Based on Table 3.1, the total number of students in public universities, according to the latest data from DOSM, is 584,576, so the target population will consist of 584,576 students.
Sample Size
According to Table 3.2, the formula N = S can be used to determine the sample size for a study. The total population size should therefore be rounded to the nearest number in the table.
Sampling Techniques
Research Instrument Development
The questions in section A are all about respondent information such as gender, age, race, religion, education level, university, income level and whether or not they use Islamic banking. There is a simple-choice question, and also a multiple-choice question, which is a fixed-choice question that gives the respondent more than one choice. Then, in section B of the questionnaire, there are four parts, each with a minimum of two questions, used to measure the dependent variable, which is the respondents' preference for Islamic banks, and the other questions are based on four independent variables , which are the factors influencing preference, namely attitude, bank reputation, religiosity and service quality.
In addition, each of the questions in Section B of the questionnaires was scored using an interval scale with a 5-point Likert scale. The goal of the Likert scale rating method is to find out how people feel about something by letting them say how strongly they agree or disagree with questions that range from strongly positive to strongly negative. Prior to data collection, a pilot study can help determine the reliability of the protocol, potential problems, and the applicability and effectiveness of the chosen method.
For further explanation, subsets of the sample required for this study will be used for a pilot test. This is an experiment that will help us determine what is wrong with the survey before sending it to the majority of respondents. Because of this, the pilot test will help in reducing questionnaire errors and collecting accurate data during the primary data collection process.
We then select 38 individuals from our total sample size to participate in our pilot test.
Measurement of the Variables
We used mean, mode, median and standard deviation to determine the prevailing trend in this study. In addition, a 5-point Likert scale is used to determine the degree of agreement or disagreement between the statements. The ratio is the difference between the distances between the values, and if defined as a variable, the ratio of values has a true zero.
In Part A of the questionnaires, the ratio scale was used to determine the age and income level of the respondents.
Procedure for Data Analysis .1 Data Processes and Data Analysis
This is the most common method of determining the reliability of an instrument, as it examines the consistency of the entire scale. This test is designed to ensure that the measurements are accurate and consistently produce the same results. The purpose of the normality test is to determine whether the data set is normally distributed or not, or to calculate the degree to which a random variable is expected to be normally distributed.
According to Orcan (2020), skewness and kurtosis are terms that refer to the shape of a distribution. The closer the skewness and kurtosis values are to zero, the closer the observed distribution is to normal. The fact that skewness and kurtosis have positive values indicates that the distribution in question is positively skewed and has more peaks than the normal distribution.
In contrast, negative values for skewness and kurtosis indicate that the distribution is unfavorably skewed and flatter. Two variables are correlated using the Pearson Correlation Coefficient, which measures the strength and direction of the linear relationship between them. According to Akoglu (2018), a linear relationship between two variables is tested using data from the two variables.
To begin with, a scatter plot is used to verify the linearity of the relationship, and then a parametric test is performed. In a sample, the Pearson correlation coefficient is represented by r, while in the population from which the sample is drawn, it is represented by ρ.
Summary / Conclusion
To denote coefficient, r stands for "response coefficient", which can take any value from 1 to +1 or -1 to +1. As a result, there is a strong relationship between two or more variables if the correlation coefficient is high; conversely, there is no correlation if the correlation coefficient is low. In this chapter, the objective is to interpret the data collected from the 384 questionnaires that we distributed.
The data obtained is analyzed and processed using the Statistical Package for Social Sciences (SPSS) Version 29. After that, the descriptive analysis will be evaluated through tables to indicate the details of the respondents, which gender , include age, race, religion. , level of education, type of university, experience of financial transactions in Islamic banking, and the availability of an account with Islamic banking. Next, followed by validity and reliability testing, normality testing, Pearson correlation coefficient analysis, hypothesis testing and a summary or conclusion.
Preliminary Analysis .1 Pilot Test
This chapter begins with preliminary analyzes of pilot test data by examining the reliability test. Based on Table 4.2, to determine how reliable the data was, the pilot test used Cronbach's alpha. The value of Cronbach's alpha determined to be obtained for the variables is greater than 0.7, with a range that goes from 0.795 to 0.915.
As a result, this suggested that the measurements for all variables used in the pilot test are reliable in this study. In light of this, once the Cronbach's alpha value has been determined, the researcher will begin actual data collection and distribute the questionnaire to individuals in the target population.
Demographic Profile of Respondents
Gender
Race
Religion
Level of Education
Your Type of University
Statistik di atas menunjukkan majoriti responden adalah dari Universiti Malaya (UM) dan Universiti Teknologi MARA (UiTM). Selepas itu, 29 responden (7.6%) adalah dari Universiti Putra Malaysia (UPM) dan 29 responden (7.6%) dari Universiti Utara Malaysia (UUM). Selain itu, 15 responden (3.9%) adalah dari Universiti Teknologi Malaysia (UTM) dan 15 responden (3.9%) dari Universiti Malaysia Terengganu (UMT).
Selain itu, 10 responden (2.6%) dari Universiti Malaysia Sabah (UMS), 10 responden (2.6%) dari Universiti Tun Hussein Onn Malaysia (UTHM) dan 10 responden (2.6%) dari Universiti Tehnikal Malaysia Melaka (UTeM). Selain itu, 9 responden (2.3%) adalah dari Universiti Malaysia Sarawak (UNIMAS) dan 9 responden (2.3%) dari Universiti Malaysia Pahang (UMP).
Have you had any experience of doing financial transactions in the Islamic Banking?
Do you have an account at the Islamic Banking?
- Descriptive Analysis .1 Preferences
- Validity and Reliability Test
- Normality Test
- Pearson Correlation Coefficient Analysis
- Hypotheses Testing .1 Attitude – (Hypothesis I)
- Summary / Conclusion
- Key Findings
- Discussion
- Implications of the Study
- Limitations of the Study
- Recommendations/ Suggestion for Future Research
- Overall Conclusion of the Study
There is no correlation between service quality and public university students' preferences for Islamic banking. There is a relationship between service quality and public university students' preferences for Islamic banking. There is no correlation between bank reputation and public university students' preferences for Islamic banking.
There is a relationship between bank reputation and public university students' preferences for Islamic banking. It can be concluded that there is a relationship between bank reputation and public university students' preferences towards Islamic banking. There is no relationship between religiosity and public university students' preferences towards Islamic banking.
Moreover, there is a correlation of 0.997 between the bank's reputation and the preference for Islamic banking. There is no connection between attitude and the public. university students' preferences for Islamic banking. There is no connection between service quality and the public. university students' preferences for Islamic banking.
There is a relationship between service quality and public university students' preferences for Islamic banking. There is no correlation between the bank's reputation and. public university students' preferences for Islamic banking. There is a correlation between the bank's reputation and public university students' preferences for Islamic banking.
There is no connection between religion and the public. university students' preferences for Islamic banking.
The Study of Factors Influencing The Preference Among Public University Students In Malaysia Towards Islamic Banking
BAGIAN C: FAKTOR-FAKTOR YANG MEMPENGARUHI PREFERENSI PEAR TERHADAP PERBANKAN SYARIAH / BAGIAN C: FAKTOR-FAKTOR YANG MEMPENGARUHI PREFERENSI PEAR TERHADAP PERBANKAN SYARIAH.
