THE FACTORS THAT INFLUENCE BANGKOKIAN CONSUMERS TO PURCHASE CONSUMPTION PRODUCT FROM SMART VENDING MACHINE

This study aims to examine the factors influencing customer purchase intent in the context of perceived risk, convenience, satisfaction and trust in smart vending machines in Bangkok. What factors influence customers' intention to purchase consumer products in the context of a smart vending machine in Bangkok. To what extent perceived risk and convenience to purchase consumer product in the context of smart vending in Bangkok.

To what extent does customer satisfaction explain the confidence to buy consumer products in the context of smart vending machines in Bangkok. Identification of the significant factors for customer intent to purchase consumer products in the context of a smart vending machine in Bangkok. Analyzing the role of perceived risk and convenience in purchasing consumer products in the context of smart vending machines in Bangkok.

Exploring the relationship between customer satisfaction and confidence to purchase consumer products in the context of a smart vending machine in Bangkok.

LITERATURE REVIEW

Purchase intention
Perceived risk
Convenience
Satisfaction
Trust

Vending machine connections are often made for telemetry and online cashless transactions, as refilling the machine on a regular basis is more efficient due to telemetry, and sales are enhanced by the convenience of cashless payments for consumers (Solano et al., 2017). The study of Caruso et al., (2014) also reported that retail purchases by young adults, primarily students, on a college campus were motivated solely by hunger and convenience. Importantly, many aspects of service convenience, including decision, access, transaction, benefit, and post-benefit convenience, have a significant impact on consumers' post-purchase intentions (Mathuret al., 2016).

H3: Satisfaction of smart vending machine has a positive influence on trust H4: Satisfaction of smart vending machine has a positive influence on purchase intention. Research by Aren et al., (2013) reported that trust is an important factor in both traditional and online purchases, and it has a significant impact on consumers' purchase intentions. Moreover, positive word of mouth has a mediating impact between both the influences of trust on consumer purchase intention.

Based on the previous studies, Figure 2.1 illustrates the constructs of each variable that the independent variables are created to be as a driver (+) or barrier (-) for the one independent variable “purchase intention” of consumer products towards smart vending machine among Bangkokians.

METHODOLOGY

Quantitative approach
Sampling plan
Questionnaire
Analysis and interpretation

If, on the other hand, the respondents do not meet the criteria, they will not be allowed to go through this questionnaire and its end. The screening section was created to screen the respondents to capture the right targets that filter out those who are under 18 years old and those who live outside of Bangkok. Another important criterion is that this study only captures people who are familiar with smart vending machines.

In other words, this study would not choose the consumers who have not shopped through smart vending machines before. For the general part, the respondents in this part would provide the answers to their usage behavior in smart vending machines, after which the survey would allow the respondents to go through the main quantitative questionnaire. The result should also be useful information for the smart vending machine industry to understand the factors influencing people to buy the consumption products of smart vending machines.

The data will then proceed to the interpretation stage, once the software has generated the quantitative results, with the aim of answering the research question and thus defining the recommendation based on the degree of purchase intention compared to the general usage dimension.

FINDINGS & ANALYSIS

Data collection
Questionnaire
Reliability test
Mean score of questionnaires

Questions
Factors

According to the channels of purchased consumer products through smart vending machine, there are five groups of education levels in this study. Likewise, the group of respondents who bought consumer products from the residence is counted at 37% (37 respondents). The figure 4.6 illustrates the frequency of the use of smart vending machine in a week of respondents among 100 respondents, of which 66% (66 respondents) of the respondents used only once a week while and 34% (34 respondents) used at least twice is. times a week.

According to this aspect, there are three groups of the frequency of using smart vending machine in a week in this study. The group of respondents who bought consumer goods with smart vending machine once a week is 66% (66 respondents), and 29% (29 respondents) of respondents used smart vending machine two or three times a week. While the group of respondents who used smart vending more than four times a week has only 5% (5 respondents); therefore, it is necessary to combine the two or three times per week groups with the four times per week group to use the data in the analysis section.

According to the brands of smart vending machines that respondents bought consumer products, there are four groups in this study. This survey was designed to explain the purchase intention of consumers to use smart vending machine purchase consumer products in Bangkok using both independent and dependent constructs. PR4: I have been persuaded by surrounding people (friends, family members or closed person) not to use smart vending machines.

CN4: I prefer to pay for smart vending machines via QR code, e-wallet or credit card. TR3: If a problem arises, I can expect to be treated fairly by intelligent vending machines such as claims for damaged goods. I prefer to pay for smart vending machines via QR code, e-wallet or credit card.

I will encourage friends, neighbors and relatives to buy consumer products from smart vending machines. If a problem arises, I can expect to be treated fairly by smart vending machines, such as damaged goods claims. I was persuaded by people close to me (friends, relatives or closed person) not to use smart vending machines.

Mean Score of Constructs

T-Test analysis

Education
Frequency of purchase

One-way ANOVA analysis

Income

Correlation analysis
Regression analysis
Model 1: Causal relationship between perceived risk, convenience, satisfaction, trust, and purchase intention
Causal relationship between satisfaction and trust

According to table 4.4, a construct of purchase intention (statement of I will use smart vending machines whenever I want to buy consumer products) shows the difference (sig.< 0.05 in the column of Sig. 2 tail)) between the group of respondents who have the education level of bachelor's degree and below and postgraduate degree. The graduate education level group thinks they will use smart vending machines whenever they want to buy consumer products with a mean of 3.27 above the average of a bachelor's degree group and below which it is 2.86. Since table 4.5 shows the construct of perceived risk for the statement of concern about the wrong product of consumption of delivered products, not the same as the one ordered, there is a significant difference between the group of respondents who used the smart vending machine once in week and two. times or more.

These groups also have a significant difference in the belief construct for the belief statement about the accuracy of smart vending machines and smart vending machines provide safe product quality. Another significant difference is in the Trust construct for the statement of purchase intent in terms of encouraging people to purchase consumer products from smart vending machines and sustaining the purchase of consumer products from smart vending machines. According to table 4.6, it shows the significant difference (sig.<0.05 in Post Hoc Tests column) between income rage groups, the result of which is related to the two constructs of the theoretical framework which are perceived risk (two attributes) and purchase. Target (two attributes).

The group with less than 30,000 baht has a mean score of 2.73 on the statement of concern about payment transaction errors from smart vending machines, while the other groups have a mean score of 2.31 and 2.26 respectively. Due to the mean scores of the group below 30,000 baht, it is 2.13, which is the highest value compared to other groups in the statement of convinced people around (friends, family members or inmates) not to use smart vending machines. According to Table 4.7, it can be seen that perceived risk has a correlation with purchase intention of 0.03, with the correlation being significant at the 0.05 level, while comfort, satisfaction and trust have a correlation with purchase intention, with the correlation being significantly less than 0.01 level.

According to the ANOVA analysis in Table 4.8, the significant difference is below 0.05 (sig.=0.00), F=11.07; Therefore, the model is useful, there is the random relationship between perceived risk, convenience, satisfaction and trust on purchase intention. According to the model summary in Table 4.9, it shows that all independent variables could explain the changes in the overall purchase intention by 31.78% (𝑹𝟐=0.32). The result of findings in Table 4.10 shows that satisfaction is the most important factor influencing customers' purchase intention to buy consumer goods at a smart vending machine, where the Beta score is 0.33.

Moreover, trust and convenience have important factors for customers' purchase intention to buy consumer products through smart vending machines, as well as the Beta scores are 0.25 and 0.10, respectively. According to the ANOVA analysis in table 4.11, the significant difference is below 0.05 (sig.=0.00), F=39.98; therefore the model is useful, there is the casual relationship between satisfaction and trust. According to table 4.12, it shows that all independent variables can explain the changes in overall purchase intention by 28.98% (𝑹𝟐 = 0.29).

As Table 4.13 shows, trust is the only factor taken as the independent variable, which is satisfaction.

CONCLUSIONS & RECOMMENDATIONS

Conclusions

Recommendations

These reasons aim to maintain the quality products to be delivered to retailers and manufacturers of smart vending machines. The process can help manufacturers and retailers of smart vending machines to avoid the risk, such as defective products, which reduce the aspect of product quality problems and significantly affect customer satisfaction. It is significant, based on the academic perspective, that satisfaction is the most significant factor affecting customers' intention to purchase a consumer product related to a smart vending machine in Bangkok. The researcher can explicitly explore the factors of satisfaction in the future by expanding the location to a cross-section of Thailand, which could indicate more significant influence on customers' intention to purchase consumer products related to smart vending machine among people living in Thailand, or test the model's constructs with a larger sample size.

Limitation and future research

The Effects of Appropriate Service Contact Personnel Attire on Customer Service Quality Expectations and Purchase Intention: The Moderating Influences of Involvement and Gender.

APPENDICES

APPENDIX A: Questionnaire

Screening Questions

Section 3: The factors that influence Bangkokian consumers to purchase consumption products from smart vending machines

Demographic Questions 1. What is your gender?