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THE DETERMINANTS FACTOR OF BUYING ONLINE FAKE PRODUCTS: FROM UMK'S

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Hasil kajian menunjukkan faktor jenama, harga dan sikap mempunyai hubungan yang positif dan signifikan dengan pembelian produk tiruan secara dalam talian. Faktor jenama mempunyai hubungan yang paling kukuh untuk mempengaruhi pelanggan membeli produk tiruan secara dalam talian.

Figure 2.2  :  The theory of reasoned action and planned behavior.
Figure 2.2 : The theory of reasoned action and planned behavior.

INTRODUCTION

  • Background of the Study
  • Problem Statement
  • Research Question
  • Research Objectives
  • Scope of the Study
  • Significance of Study
  • Definition of Term 1. Counterfeit goods
    • Brand
    • Price
    • Attitude
  • Organization of the Proposal

Based on the main statistics of the Ministry of Domestic Trade and Consumer Affairs (KPDNHEP) in 2022, the submitted complaints regarding counterfeit goods show that the number of complaints has decreased from 2020 to 2022, which are 661,443 and 153 respectively. With the intention of taking advantage of the inferior value counterfeit goods are often produced from the imitation product.

LITERATURE REVIEW

  • Introduction
  • Underpinning Theory
  • Previous Study
    • Price Factor
    • Brand Factor
    • Attitude Factor
  • Hypothesis Statement Hypothesis 1
  • Conceptual Framework
  • Summary / Conclusion

Based on this research, the researchers used the Theory of Planned Behavior (TPB), which was developed at TRA in 1985, to provide further support while conducting a study on the factors that influence customers to purchase counterfeit products. However, an individual's perception of the subjective norm regarding the purchase of counterfeit goods may influence their desire to purchase. Buyers' feelings are more positive when family and friends support their decision to purchase counterfeit goods, which is consistent with the predictions of the theory of planned behavior.

Therefore, in this study, researchers choose price factors as one of the independent variables. Because higher prices are directly related to higher quality products, customers have low expectations and perceptions of the quality of the counterfeits due to their low prices. We realized that most previous studies mention this factor as one of the reasons why people choose to buy counterfeit products.

This means, for the sake of fashion, people would rather buy and wear fake products if people know that they know and worry about the latest fashion, fake or not, it's not a big deal to them. The dependent variable for this research is determinant factors that influence customers to buy fake products online. This research will study about these factors which are brand, price and attitudinal factor on how it affects customers when they buy fake products online.

Figure 2.2: The theory of reasoned action and planned behavior. Revised from  Sources: https://www.researchgate.net/figure/The-theory-of-reasoned-action-and-
Figure 2.2: The theory of reasoned action and planned behavior. Revised from Sources: https://www.researchgate.net/figure/The-theory-of-reasoned-action-and-

RESEACH METHODS

  • Introduction
  • Research Design
  • Data Collection Methods
  • Study Population
  • Sample Size
  • Sampling Techniques
  • Research Instrument Development
  • Measurement of the Variables
  • Procedure for Data Analysis
  • Summary / Conclusion

The Google Forms' links will be distributed through social media platforms such as WhatsApp and Telegram to help the researchers reach this research's target respondents at the UMK City campus. The total of 6013 students is the sum of students at the Faculty of Entrepreneurship and Business (FKP) (3495 students), and the Faculty of Hospitality, Tourism and Wellness (FHPK) (2518 students). The target group will thus be 6013 for this research. Therefore, for the sample size, the researchers estimated that 361 students will represent the entire population (6013 students) in this research.

This research will use a five-point Likert scale on the questionnaire, as this scale has been recommended by most researchers. The questionnaire designed for this research was developed and adapted based on previous research by a few professional authors. Other questions were designed specifically for this research to measure the constructs and characteristics that influence customers to purchase a counterfeit product.

This research uses the Spearman Correlation Coefficient to determine the determinants of buying fake products online from the UMK student experience. The type of research used for this research is descriptive research and the researcher used a questionnaire on the determining factor affecting the purchase of fake products online by UMK students. 361 respondents from UMK City Campus, Kelantan, were included in this research which was conducted using a questionnaire and will be analyzed by SPSS version 26.

Table 3.5.1 Determine sample size from a population.
Table 3.5.1 Determine sample size from a population.

ANALYSIS AND FINDINGS

Introduction

Preliminary Analysis

  • Pilot test
  • Data Collection

The value of Cronbach's alpha coefficient is above 0.8 and corresponds to the level of validity and reliability of the instrument. Overall, the variables exceed the suggested level of 0.70 by Hair et al. 2017), indicating that all items within the three variables investigated in this study meet the statistical requirements for further analysis. According to Pallant (2001), a Cronbach's alpha value of 0.6 or greater is considered a reliable and respectable measure (Nunnally, 1967).

Alpha Cronbach is considered to be in the very good range when it is between 0.8 and 1.00. As a result, the level of instrument reliability in this article is assessed using the determination of Alpha Cronbach values ​​on developed instruments. According to Haar et al. 2017), Sekaran and Bougie (2010), Borg & Gall (1989) and other authors, reliability refers to the extent to which an item is free from bias or error and, as a result, is consistent over time back and forth between different items. items in the instrument.

Regarding surveys that have been conducted in the Malaysian context, the average response rates were 15 to 25 percent (Othman et al., 2001). According to Cavana (2001) and Sekaran and Bougie (2010), more than 35% of the remaining questions had missing (unanswered) data; however, Hair et al. 2010) recommended excluding questionnaires if the percentage of missing data approached 50%. In the Malaysian context, the average response rate for mail surveys varied between 15 and 25 percent (Othman et al., 2001).

Table 4.2.1: Cronbach
Table 4.2.1: Cronbach's Alpha Coefficient Value Cronbach's Alpha Internal Consistency

Demographic Profile of Respondents

  • Frequency Analysis
  • Have you ever purchased/experienced counterfeit (fake) product
  • Gender
  • Course
  • Current years of study
  • Ethnicity

The finding shows that the frequency and percentage of respondents based on whether they have ever purchased/experienced a counterfeit (fake) product. It shows that the percentage of university students at UMK City Campus is higher choosing "Yes" compared to "No" ever purchased/experienced counterfeit (fake) product in this research. This shows that the number of female respondents was higher than that of male respondents in this research.

The result of the survey shows that 28.9% corresponding to 68 students out of the total number of respondents are men and 71.1% corresponding to 167 respondents are female students. This shows that most age groups involved in this research are between 21 and 23 years old who answered this questionnaire. In percentage of respondents per course shows that the student in course SAK is higher, which is 32.2% corresponding to 76 respondents, because the researcher is also SAK course, which makes it easy to distribute the questionnaire.

Meanwhile, the lowest percentage of respondents is based on SAE course because not many people take this course in Universiti Malaysia Kelantan. In percentage of respondents according to the current years of study, it is found that the student in the fourth year is higher compared to others, which is 78.3%, which is equivalent to 184 respondents. The lowest number of respondents among first-year students is 3.8%, which corresponds to only 9 respondents.

Figure 4.3.2: Percentage of respondent by have you ever Have you ever purchased / experienced
Figure 4.3.2: Percentage of respondent by have you ever Have you ever purchased / experienced

Descriptive Analysis

  • Overall Mean Score
  • Descriptive Analysis for Dependent Variables
  • Descriptive Analysis for Independent Variables 1. Descriptive Analysis for Brand Factor
    • Descriptive Analysis for Price Factor
    • Descriptive Analysis for Attitude Factor

The mean for question 4 (I feel confident when I wear products from well-known brands) is 3.66, and the standard deviation is 1.142. As for question 2, (I might be able to afford to pay the price of a counterfeit product instead of the original product) Mean is 3.80 and Std. The mean for question 4 (I have never bought expensive branded items) is 3.26, and the standard deviation is 1.379.

For question 5 (If there are cheap branded items, I might buy them) Mean is 4.14 and standard deviation is 0.891. The mean for question 6 (The prices offered by fake products are more affordable than those of original products, which causes many people to choose counterfeit products according to their budget) is 4.01 and Std. Regarding question 2, (By choosing counterfeit products, others may have a negative perception of the buyer) Mean is 3.66 and Std.

The mean for question 4 (counterfeit products perform the same as genuine products) is 3.46, with a standard deviation of 1.234. For question 5 (Counterfeit products are as reliable as original products) The mean is 3.20 and the standard deviation is 1.274. The mean for question 6 (I advise friends and relatives to buy a counterfeit product) is 2.79 and Std.

Table 4.4.1: Overall of Mean Score on Each Variable
Table 4.4.1: Overall of Mean Score on Each Variable

Validity and Reliability Test

Normality Test

In this study, Table 4.6.1 below shows the results of two well-known normality tests, namely the Kolmogorov-Smirnov test and the Shapiro-Wilk test.

Hypothesis Testing

  • HYPHOTHESIS 1
  • HYPHOTHESIS 2
  • HYPHOTHESIS 3

Therefore, the Spearman correlation coefficient, the non-parametric test, will be used for the normality test. Spearman's correlation can be used to measure the strong relationship between the independent variables, which are the brand, price and attitude factors. Researchers used spearman's correlation because the researcher used a 5-point Likert item, "Strongly Disagree" to "Strongly Agree," then the verified scale is rank.

The findings of this research show a Spearman's rho of 0.681, which is considered to be moderately correlated, between the determinants influencing customers to purchase counterfeit products and the brand factor. The research results show that the Spearman's rho between the influencing factors and the price factor in purchasing counterfeit products online is 0.662, which indicates a positive linear relationship between these variables and proves that price is one of the primary determinants in purchasing counterfeit products online. online.

Table 4.7.1: The Role of Thumb for Spearman Correlations
Table 4.7.1: The Role of Thumb for Spearman Correlations

Summary / Conclusion

DISCUSSION AND CONCLUSION

  • Introduction
  • Key Findings
  • Discussion
    • Hypothesis 1
    • Hypothesis 2
    • Hypothesis 3
  • Implications of the Study
  • Limitations of the Study
  • Recommendations for Future Research
  • Conclusion
  • STRONGLY AGREE / SANGAT SETUJU

This research investigated the relationship between brand factor, price factor and attitude factor on the determinants of purchasing counterfeit products online from the experience of UMK students. In conclusion, there is a significant correlation between brand, price and attitude factor and customers when buying fake products online. This result contradicts previous research supporting the importance of price in influencing customers to buy counterfeit products online (e.g., Yunos and Abdul Lasi (2020), Osman Gani et al.

In this study, the Spearman's rho between the attitudinal factors that influence customers when purchasing online fake products is moderately correlated; 0.567 indicates a positive linear relationship between these variables. Researchers' understanding of the topic of personal factors in terms of demographics, brand, price, attitude and the determinants that influence customers to purchase counterfeit products online is becoming increasingly clear thanks to completed research. As a result, this research provides advantages and benefits to both consumers and sellers in terms of understanding personal factors when making a purchase in terms of demographics, brand, price, attitude and factors that influence customers when purchasing counterfeit products.

There is part A which refers to the demographic profile of the respondents, part B refers to factors that influence customers to buy fake products which are dependent variables, and the other part refers to independent variables which is Part C refers to brand factors , Part D refers to price actors and Part E refers to attitude. If NO, thank you for your cooperation in helping us answer this questionnaire, please share this questionnaire with your friends who have experience in buying fake products. Section B: Determining factors that influence customers to buy fake products online / Faktor-faktor penentu yang beluhaan kulanan membeli produk tiruan secara atas talian.

I know and am aware of the factors that have influenced me to buy fake products. The prices offered by fake products are more affordable than those of genuine products, making many people choose fake products according to their budget.

GROUP 54

Gambar

Figure 2.2  :  The theory of reasoned action and planned behavior.
Figure 2.2: The theory of reasoned action and planned behavior. Revised from  Sources: https://www.researchgate.net/figure/The-theory-of-reasoned-action-and-
Figure 2.5: The conceptual framework for determinants factor of buying  online fake product: From UMK's students’ experience
Table 3.5.1 Determine sample size from a population.
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