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A Study on Factors Affecting Online Food Delivery Services Among Students in University of Malaysia, Kelantan. Therefore, this study aims to examine the factors influencing online food delivery services among students at the University of Malaysia Kelantan (UMK).

Research Background

This research aims to investigate factors influencing online food delivery services among students in Universiti Malaysia Kelantan (UMK). Is there any relationship between price and online food delivery among students in University Malaysia Kelantan.

Figure 1.1: Distribution of online food delivery services platform
Figure 1.1: Distribution of online food delivery services platform

Research Objective

The scope of this study will be the focus among University Malaysia Kelantan (UMK) students and their satisfaction with online food delivery services. For those who still avoid large crowds, online food delivery services are a good choice.

Organization Of The Proposal

Once an order is placed, the seller can offer or the customer can choose a delivery time window. This chapter contains a review of the relevant literature, analysis of the conceptual framework, development of the hypothesis and an overall summary of Chapter 2.

Underpinning Theory

  • Prices
  • Delivery Time
  • Online food delivery among students
  • Service Quality
  • Price
  • Delivery time

Online food delivery (OFD) services not only help in bringing food to the doorstep of customers but also have several benefits such as offering attractive discounts and rewards to customers (MarketWatch, 2019). There is a positive relationship between service quality and online food delivery among students in University Malaysia Kelantan.

Figure 2.1: Conceptual Framework
Figure 2.1: Conceptual Framework

Research Design

The population the researchers are focusing on for this study are students of the University of Malaysia Kelantan (UMK). In the sample size, 346 students assessed from University of Malaysia Kelantan will represent the entire population in this study. There are three sections we used the questionnaire in this study which is Section A, Section B and Section C.

Nominal data and ordinal data are the two different types of variables that the researcher uses in this study. Nominal data is used in this study to assess the respondents' demographic profiles such as age, race, gender, education and more. In this study, the researcher will distribute the questionnaire using social media, such as google forms.

A pilot study, which is typically a smaller study that helps plan and modify the larger study, is the first step in the complete research methodology. The six types of analyzes or tests used in this pilot test are respondent demographic profile, descriptive analysis, reliability test, normality test, and Pearson correlation.

Table 3.1: Table for determining sample size from given population
Table 3.1: Table for determining sample size from given population

Preliminary Analysis (Pilot Test)

This research uses six different types of analysis or methodology, which are discussed in this chapter. The data were statistically examined by the researchers using SPSS Statistics V28 (Statistical Package for the Social Sciences), and the results are discussed in this chapter. Finally, at the end of this report, all descriptive and theoretical findings are summarized and discussed.

According to the table, the value of each component of the poll is good as it is 0.9. The most significant value of Cronbach Alpha is policing, which is 0.872 for delivery time (IV3) in the survey, and the least significant value of Cronbach Alpha is cost segregation, which is 0.832 for service quality (IV1) in the research. Consequently, the survey is robust and can be used in this test as the absolute value of Cronbach Alpha for all components is 0.872, which is within the range of a remarkably strong and good relationship.

All the independent factors which are service quality, price and delivery time are reliable among students in University of Malaysia Kelantan.

Demographic Profile of Respondents

According to the gender respondents, as shown in the results in the table and figure, the number of female respondents is 73.40%, which amounts to 256 students, while males represent 26.6%. From this study, we can clearly see that in Universiti Malaysia Kelantan, the number of female students is more than that of male students.

Gender

From this study, we can clearly see that most of the students at University Malaysia Kelantan are young adults, namely 22 to 25 years old.

Table 4.3: Age
Table 4.3: Age

Race

In this research, we can clearly see that most of students' monthly income was RM0 to RM999. This is because most students work part-time and run a small business.

Table 4.5: Monthly Income  Monthly Income
Table 4.5: Monthly Income Monthly Income

What course did you study?

Do you ever use food delivery app?

Descriptive Analysis for Independent Variables

The question with the highest mean score is 4.37 where most of the respondents agreed that the price factor will influence their purchase decision in the online food delivery service. Meanwhile, the question with the lowest mean score is 3.87 where it is mentioned that the price of providing online food delivery services is reasonable. The question with the highest mean score is 4.22 where most respondents agreed that the food delivery time is reasonable and convenient.

Meanwhile, the question with the lowest average score is 3.98 where it is mentioned that the delivery time of the food is fast or even earlier than the estimated time. The question with the highest mean score is 4.29 where most of the respondents agreed with the recommendation to friends and youth to use the online food delivery system when studying in University of Malaysia Kelantan. In this research, the variable magnitude of the independent variable and the internal consistency of the dependent variable was determined by their alpha reliability.

Table 4.9: Descriptive analysis for price (second IV)
Table 4.9: Descriptive analysis for price (second IV)

Reliability statistics of the independent variables and dependent variable Table 4.13: Reliability statistics of service quality (first IV)

According to the outcome, it was determined that the coefficient Cronbach's Alpha values ​​for the reliability is greater than 0.9 which is 0.903 and it was among the range of excellent category. According to the outcome, it was determined that the coefficient Cronbach's Alpha values ​​for the reliability is greater than 0.8 which is 0.848 and it was between the range of good category. Normality test is used to determine the sample data from a normally distributed population. The normality test is a crucial step in choosing the measures of central tendency and statistical methods for data analysis.

Parametric tests are used to compare the groups when our data has a normal distribution, otherwise non-parametric approaches are used. In this study, normality tests were used to assess whether the sample was normally distributed or not. This study uses a person's correlation to determine the hypotheses when the data is normally distributed, and a Spearman's correlation to determine the hypotheses when the data is not normally distributed. In this study, the commonness of the data was examined using the Kolmogorov-Smirnova and Shapiro-Wilk tests.

Since the data did not follow a normal distribution, the results of each test reveal that all significant values ​​or p are 0.000, which is less than 0.05.

Table 4.15: Reliability statistics for delivery time (third IV)
Table 4.15: Reliability statistics for delivery time (third IV)

Services Quality

Price

For this analysis, the significant p-value is lower than the alpha root (0.01), which is 0.000, indicating a positive relationship between Price and Online Food Delivery Services among students.

Delivery Time

Pearson correlation value of delivery time is 0.699, which determines the intensity of the moderate positive relationship between delivery time and online food delivery services among students in University Malaysia Kelantan. For this analysis, the significant p-value is lower than the alpha root (0.01), which is 0.000 indicating a positive relationship between delivery time and online food delivery services among students.

Conclusion

The study described and evaluated the results of the analysis reported in chapter 4 and used Pearson correlation coefficient analysis in this chapter.

Key Findings

  • Is there any relationship between service quality and online food delivery among student in University Malaysia Kelantan?
  • Is there any relationship between price and online food delivery among students in University Malaysia Kelantan?
  • Is there any relationship between delivery time and online food delivery among students in University Malaysia Kelantan?

Research Question: Is there a relationship between delivery time and online food delivery among University Malaysia Kelantan students? There is a significant relationship between service quality and online food delivery among University Malaysia Kelantan students. There is a significant relationship between price and online food delivery among students of University Malaysia Kelantan.

There is significant delivery time and online food delivery among students in University Malaysia Kelantan. Service quality has a significant relationship with online food delivery services among students in University Malaysia Kelantan. Price has a significant relationship with online food delivery services among students in University Malaysia Kelantan.

Delivery time has a significant relationship with online food delivery services among students in University of Malaysia Kelantan.

Table 5.2: Relationship between price and online food delivery among students in  University Malaysia Kelantan
Table 5.2: Relationship between price and online food delivery among students in University Malaysia Kelantan

Recommendations/ Suggestion for Future Research

The purpose of this study was to investigate factors affecting online food delivery services among students at University Malaysia Kelantan. The growth of the food industry and how to get the biggest piece of the pie. https://fareye.com/resources/blogs/food-delivery-industry. 5 Common Customer Complaints in Food Service.. https://www.issuetrak.com/blog/5-common-customer-complaints-in-food-service 20) Ghosh, D. Customer satisfaction towards fast food through online food delivery.

Malaysia Reserve. https://themalaysianreserve.com food-delivery-services-from-odd-job-to-the-most-in-demand/. Use of online food delivery services to order food prepared from home and associated sociodemographic characteristics: a cross-sectional multi-country analysis. Online food delivery services and their impact on 36) customer satisfaction among college students i.

Factors affecting customer satisfaction and loyalty of an online food delivery service during the COVID-19 pandemic: its relationship to open innovation.

Monthly Income

What course did you study?

Do you ever use food delivery app?

Online food delivery service app provides good quality service which provides quick response from customer service people against the query. Food delivery should establish a strong distribution channel with enough personnel and vehicles to ensure timely delivery. I was satisfied with online food delivery services because of the convenience of knowing the estimated delivery time.

I recommend my friends and juniors to use online food delivery system when studying in University Malaysia Kelantan.

GANTT CHART

  • Kayal

Data analysis Writing a draft of a research project Findings report Interpretation and discussion of findings Implications of the findingsConclusion. Submission of one (1) copy of the final report of the bound research project to the supervisor of the specialization. Research objective and research methodology in . according to extensive literature research) Contents of the report are.

The report is not produced according to the specified time and/or according to the format. The report is produced at the specified time, but does not follow the format. The report is well written and easy to read; The majority of points are well explained and the flow of ideas is coherent.

The report is grammatically, theoretically, technically and logically correct in most chapters with few weaknesses.

Gambar

Figure 1.1: Distribution of online food delivery services platform
Figure 2.1: Conceptual Framework
Table 3.1: Table for determining sample size from given population
Table 3.2: Five Likert Scales  Strongly
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