Factors Influencing Consumers Intention towards Online Food Purchasing in Phnom Penh
Asian Journal of Economics, Business and Accounting, Volume 23, Issue 17, Page 81-89, 2023
2023
- 578Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Paper Description
The purpose of this study is to identify factors influencing the consumer intention towards the online food purchasing in Phnom Penh. The conceptual framework is developed from previous study which includes perceived convenience, customer control, advertising, technology eagerness, online purchase attitude, and online purchase intention. The quantitative method was applied to distribute questionnaires to 400 respondents. Multi-stage sampling technique was conducted in nonprobability sampling approach, using judgmental sampling to select relevant respondents in Phnom Penh, quota sampling to calculate the sample size of the targeted respondents, and convenience sampling to distribute questionnaires online, using Google-based survey form. Item-Objective Congruence and Cronbach’s Alpha were employed to validate the constructs. Confirmatory Factor Analysis (CFA) was used to verify conventient and discriminant validity, and goodness of fit indices. Structural Equation Model (SEM) was carried out to test the relationship among variables. The results from the analysis revealed that advertising and technology eagerness have significant influences on online purchase attitude, and online purchase attitude has significant influence on purchase intention. However, the customer control and perceived convenience do not have any influences on the online purchase attitude.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know