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FACTORS AFFECTING THE PERSONAL SAVING BEHAVIOR

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Nguyễn Gia Hào

Academic year: 2023

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This study is conducted to discover the factors influencing the personal saving behavior among UTAR staff during Covid-19. The factors that influenced the personal saving behavior among UTAR staff during Covid-19, which included the independent variables of financial knowledge, financial self-efficacy, risk perception and income level. The research's limitations and recommendations are also included in this study for future researchers to gain a better understanding of UTAR staff's personal savings behavior during Covid-19.

RESEARCH OVERVIEW

  • Research Background
  • Problem Statement
  • Research Objective
    • General objectives
    • Specific objectives
  • Research Question
  • Significance of study

Factors such as financial knowledge may also influence the personal saving behavior of UTAR employees during Covid-19. To investigate how financial knowledge affects the personal saving behavior of UTAR employees during Covid-19. To determine how financial self-efficacy affects personal saving behavior among UTAR employees during Covid-19.

LITERATURE REVIEW

  • Underlying Theories
    • Social Cognitive Theory of self-regulation
    • Risk Perception Theory
    • Theory of Planned Behavior
    • Life Cycle Hypothesis
  • Reviews of Variables
    • Dependent Variable
    • Independent Variables
  • Conceptual Framework / Proposed Theoretical
  • Hypothesis Development
    • Financial knowledge
    • Financial self-efficacy
    • Risk perception
    • Income level

Savings behavior is positively related to the direct relationship between the financial knowledge variables. H0: There is no significant correlation between financial knowledge and the personal saving behavior of UTAR employees during Covid-19. H1: There is a significant correlation between financial knowledge and the personal saving behavior among UTAR employees during Covid-19.

METHODOLOGY

  • Research Design
    • Dichotomous Question
    • Multiple Choice Questions
    • Five Likert Scale
  • Sampling Design
    • Target population
    • Frame and Location Sampling
    • Technique of Sampling
    • Sampling Size
  • Data Collection Method
    • Pilot Test
  • Proposed Data Analysis Tool
    • Descriptive Analysis
    • Inferential Analysis

Primary data is often collected directly from the source of the data and is considered the most valuable type of data in research. Therefore, UTAR staff are our target population to meet the needs of the study project. This type of question will provide two to five alternative answers to each of the questions for the respondent to choose from.

The geographical and temporal characteristics of the target population, as well as the type of units to be. A sampling frame is a set of items from which a researcher can select a sample of the target population. Approximately, the population of the academic staff working in Kampar campus is 500 people, at least 217 questionnaires are required to carry out the study.

According to Krejcie and Morgan (1970), the sample size goal is to collect 217 questionnaires to eliminate problems of missing data and improve the precision of the survey results. The questionnaire for this study will use structured questionnaires that both the question and the answers are given for the respondents to retrieve the correct answers (Sadan, 2017). There will be some consequences for the reliability of the results of some statistical tests, similar to the first limitation (Calvello, n.d.).

Using this approach provides a more accurate and precise understanding of the relationship between each of them.

Figure 3.3: Scale of Cronbach’s Alpha Source: (Glen, 2021)
Figure 3.3: Scale of Cronbach’s Alpha Source: (Glen, 2021)

DATA ANALYSIS

  • Introduction
  • Descriptive Analysis
    • Respondent Demographic Profile
    • Central Tendencies Measurement of Constructs
  • Scale Measurement
    • Reliability Analysis
  • Inferential Analysis
    • Pearson Correlation Analysis
    • Multiple Regression Analysis
  • Hypothesis Summary
  • Summary of Chapter

It shows a significant link between financial literacy and personal savings behavior of UTAR staff during Covid-19. It shows a significant link between financial self-efficacy and personal savings behavior of UTAR staff during Covid-19. This means that financial self-efficacy and personal saving behavior of UTAR personnel during Covid-19 have a moderate relationship according to general rules.

This indicates a significant relationship between the risk perception and the personal saving behavior of UTAR staff during Covid-19. This means that the risk perception and the personal saving behavior of UTAR staff during Covid-19 have a weak positive relationship according to the rules. This indicates a significant relationship between the income level and the personal saving behavior of UTAR staff during Covid-19.

This means that the level of income and the personal saving behavior of UTAR staff during Covid-19 have a weak positive relationship according to the general rules. H1: There is a significant relationship between financial self-efficacy and personal saving among UTAR staff during Covid-19. H1: There is a significant relationship between risk perception and personal saving behavior among UTAR staff during Covid-19.

H0: There is no significant relationship between income level and personal saving behavior among UTAR staff during Covid-19.

Figure data 4.1: Data of Gender Source: Developed in study
Figure data 4.1: Data of Gender Source: Developed in study

DISCUSSION, CONCLUSION AND IMPLICATIONS

Introduction

Discussion of Major Findings

  • Financial Knowledge and Saving Behavior
  • Financial Self-Efficacy and Saving Behavior
  • Risk Perception and Saving Behavior
  • Income Level and Saving Behavior

In other words, individuals who lack financial literacy will not engage in personal saving behavior during Covid-19. Financial self-efficacy H0: There is no significant relationship between financial self-efficacy and personal saving behavior among UTAR staff during Covid-19. This is because the P value (0.039) is less than 0.05 indicating that financial self-efficacy has a significant and positive relationship with personal saving behavior among UTAR staff during Covid-19.

People with financial self-efficacy will have the ability to engage in personal saving behavior during Covid-19. On the other hand, individuals who lack financial self-efficacy will lack the ability to engage in personal saving behavior during Covid-19. The previous studies Radianto et al. 2019) support that there is a positive and significant relationship between financial self-efficacy and personal saving behavior.

According to Ismail et al. 2020) research, an individual's financial self-efficacy can increase to encourage saving behavior. Farrell, Fry and Risse (2016) found that the financial self-efficacy of a woman influences her personal saving behavior. Risk perception H0: There is no significant relationship between risk perception and the personal saving behavior among UTAR staff during Covid-19.

This showed that the relationship between risk perception and saving behavior is significant and positive among UTAR staff during Covid-19.

Implication of Study

According to Arifin (2017), income has nothing to do with financial behavior, which means that a person's income, no matter how much, has nothing to do with a person's financial behavior. It could help the future researcher to reveal the reasons behind these variables that influence the saving behavior of Malaysian employees during Covid-19 and use them in their study. Apart from that, this study could also help the future researcher to prevent or further research on the variables could influence the saving behavior of employees.

This is due to the fact that people of all ages in today's society have a need for awareness or knowledge of personal saving behavior. Parents should also show their children the financial self-efficacy of their savings so that they can grow up in such an environment and instill the virtue of saving in the next generation from an early age. Because our research has shown that financial literacy, financial self-efficacy and risk perception are all positively and significantly associated with each other.

For example, in this Covid-19 epidemic, which has brought many difficulties to society, if there is no emergency fund or reserve fund, people will lose their ability to survive because this epidemic has deprived many people of employment opportunities. Last but not least, the third party that is affected is the bank and the government. This study can better help banks and governments to promote saving behavior because in this study we tested the effective factor (financial knowledge, financial self-efficacy, risk. perception and income level) for personal saving behavior. Banks can arrange for some staff to go to school or offer some courses for teachers to spread the benefits and importance of saving to the younger generation and cultivate the habit of saving in them from an early age on the impact and importance of financial literacy. . Financial self-efficacy, risk perception and income level on personal saving behavior to increase their saving awareness.

Also, the government can use the results of this study to make a saving.

Limitations of Study

The government can also release awareness about saving through TV, news and newspapers, it is because many elderly may not be good at using electronic products, then they can get the financial knowledge from offline platforms to improve saving awareness. Improving the public's knowledge of savings, as well as the public's willingness to save, contributes to improving the country's economy. After reviewing the survey results, it was discovered that it is important to address the survey questions from another useful perspective and to include an important question in the survey to avoid influencing the results of a survey.

Recommendations for Future Research

The last limitation of the study is the methods used to form the survey questions. The improper method of forming the questionnaire questions had a minor effect on the study results. For example, the result showed that the relationship between the income level and the dependent variable is not significant.

Under this condition, it is recommended for future research that the researchers refer to or study the way the researchers formulated questions in the past. In this way, the researchers can learn how to create effective and correct survey question methods so that study results are not affected. In addition, asking survey questions from another workable perspective and including an important question in the survey can also avoid influencing the results of a survey.

Conclusion

Save to be safe: The effect of the COVID-19 pandemic on consumer saving and spending behavior in China. During the Covid-19 pandemic, I know how to assess and adjust my financial plans for income while facing a reduction in income or unemployment. During the Covid-19 pandemic, my savings level has decreased compared to before the pandemic.

During the Covid-19 pandemic, I am able to maintain control over my financial planning and saving habits. During the Covid-19 pandemic, I know how to prioritize my needs over wants and spend money only on necessities. During the Covid-19 pandemic, I put a higher percentage of my income into savings than into spending.

During the Covid-19 pandemic, I always use my income for investments instead of saving it or spending it. Do you agree that financial knowledge plays an important role in saving behavior during the Covid-19 pandemic. During the Covid-19 pandemic, I know how to evaluate and adjust my financial plans for income as I face.

Do you agree that financial self-efficacy plays an important role in saving behavior during the Covid-19 pandemic. FSE_4 During the Covid-19 pandemic, I am able to maintain control over my financial planning and saving habits. IL_4 During the Covid-19 pandemic, I spent a higher percentage of my income on savings instead of spending it.

Gambar

Figure 3.3: Scale of Cronbach’s Alpha Source: (Glen, 2021)
Figure 3.4: interpretation of correlation coefficient results Source: Parvez Ahammad
Figure data 4.1: Data of Gender Source: Developed in study
Figure data 4.2: Data of Age Source: Developed in study
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