Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality
Abstract
:1. Introduction
2. Literature Review and Hypotheses
2.1. Information Quality
2.2. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2)
2.3. Mediating Role of Information Quality
3. Methodology
3.1. Sampling and Data Collection
3.2. Research Instrument
3.3. Analytical Methods
4. Data Analysis and Results
4.1. Measurement Model
4.2. Structural Model
4.3. Multi Mediating Effect
5. Discussion and Conclusions
5.1. Discussion
5.2. Conclusions
5.3. Limitations and Future Research
Author Contributions
Funding
Conflicts of Interest
References
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Demographic Characteristics | Frequency | Percentage | |
---|---|---|---|
Gender | Male | 137 | 40.3 |
Female | 203 | 59.7 | |
Age | 20–29 years | 160 | 47.1 |
30–39 years | 97 | 28.5 | |
40–49 years | 65 | 19.1 | |
50–59 years | 16 | 4.7 | |
Above 60 years | 2 | 0.6 | |
Marital status | Single | 192 | 56.5 |
Married | 148 | 43.5 | |
Educational level | High school | 35 | 10.3 |
College degree | 49 | 14.4 | |
University degree | 197 | 57.9 | |
Graduate school | 59 | 17.4 | |
Annual income | Below USD 20,000 | 115 | 33.8 |
USD 20,000–29,000 | 95 | 27.9 | |
USD 30,000–39,000 | 42 | 12.4 | |
USD 40,000–49,000 | 36 | 10.6 | |
USD 50,000–59,000 | 24 | 7.1 | |
Above USD 60,000 | 28 | 8.2 | |
Occupation | Student | 85 | 25.0 |
Office worker | 88 | 25.9 | |
Sales & Services | 63 | 18.5 | |
Government employee | 11 | 3.2 | |
Professional job | 44 | 12.9 | |
Self-employed | 12 | 3.5 | |
House wife | 21 | 6.2 | |
Other | 16 | 4.7 | |
Frequency of use for 1 month | 1–2 times | 34 | 1.4 |
3–4 times | 191 | 20.9 | |
5–6 times | 94 | 25.7 | |
7–8 times | 13 | 22.2 | |
Above 9 times | 8 | 29.8 |
Variable and Item | Standardized Loading | CR | AVE |
---|---|---|---|
Information quality (α = 0.831) | |||
Using food delivery apps provides accurate information | 0.821 | 0.898 | 0.550 |
Using food delivery apps provides believable information | 0.866 | ||
Using food delivery apps provides information at the right level of detail | 0.622 | ||
Using food delivery apps presents the information in an appropriate format | 0.626 | ||
Performance expectancy (α = 0.850) | |||
I find food delivery apps useful in my daily life. | 0.755 | 0.881 | 0.545 |
Using food delivery apps increases my chances of purchasing foods that are important to me. Using food delivery apps enables me to accomplish the purchasing process more quickly. | 0.782 0.726 | ||
I can save time when I use food delivery apps for purchasing foods. | 0.692 | ||
Effort expectancy (α = 0.905) | |||
Learning how to use food delivery apps for purchasing foods is easy for me | 0.755 | 0.943 | 0.672 |
My interaction with food delivery apps for the purchase of foods is clear and understandable. | 0.904 | ||
Using food delivery apps is easy for me | 0.887 | ||
It is easy for me to become skillful at using food delivery apps for purchasing foods. | 0.790 | ||
Social influence (α = 0.902) | |||
People who are important to me think that I should use food delivery apps for purchasing foods. | 0.853 | 0.942 | 0.757 |
People who influence my behavior think that I should use food delivery apps for purchasing books. | 0.911 | ||
People whose opinions I value prefer that I use food delivery apps for purchasing books. | 0.847 | ||
Facilitating conditions (α = 0.691) | |||
I have the knowledge necessary to use food delivery apps for purchasing foods. | 0.606 | 0.782 | 0.546 |
I feel comfortable using food delivery apps for purchasing foods. | 0.850 | ||
Hedonic motivation (α = 0.916) | |||
Using food delivery apps for purchasing foods is fun. | 0.879 | 0.939 | 0.791 |
Using food delivery apps for purchasing foods is enjoyable. | 0.944 | ||
Using food delivery apps for purchasing foods is very entertaining. | 0.843 | ||
Price value (α = 0.874) | |||
I can save money by using food delivery apps for purchasing foods by comparing the prices offered at different online stores. I like to search for cheap deals at different online stores when I purchase foods through food delivery apps. | 0.952 0.816 | 0.896 | 0.785 |
Habit (α = 0.889) | |||
Purchasing foods through food delivery apps is almost like a habit for me. | 0.874 | 0.874 | 0.639 |
I am addicted to using food delivery apps for the purchase of foods. I must use food delivery apps for purchasing foods. | 0.698 0.736 | ||
Using food delivery apps for purchasing foods has become natural to me. | 0.877 | ||
Continuous intention (α = 0.916) | |||
I intend to continue using food delivery apps in the future. | 0.860 | 0.930 | 0.738 |
I will always try to use food delivery apps in my daily life. | 0.818 | ||
I plan to continue to use food delivery apps frequently. I have decided to use food delivery apps for purchasing foods the next time | 0.918 0.839 |
Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|
1. IQ | 0.550 | ||||||||
2. PE | 0.471 | 0.545 | |||||||
3. EE | 0.357 | 0.525 | 0.672 | ||||||
4. SI | 0.429 | 0.562 | 0.499 | 0.757 | |||||
5. FC | 0.330 | 0.537 | 0.666 | 0.522 | 0.546 | ||||
6. HM | 0.371 | 0.586 | 0.336 | 0.542 | 0.428 | 0.791 | |||
7. PV | 0.330 | 0.413 | 0.292 | 0.346 | 0.362 | 0.417 | 0.785 | ||
8. HT | 0.233 | 0.440 | 0.263 | 0.441 | 0.370 | 0.520 | 0.235 | 0.639 | |
9. CI | 0.460 | 0.640 | 0.482 | 0.609 | 0.561 | 0.572 | 0.346 | 0.689 | 0.738 |
Mean | 3.564 | 3.555 | 3.891 | 3.351 | 3.798 | 3.041 | 3.394 | 2.508 | 3.265 |
S.D. | 0.592 | 0.668 | 0.664 | 0.695 | 0.720 | 0.799 | 0.859 | 0.893 | 0.827 |
Hypotheses | Beta | t-Value | p-Value | Decision | |
---|---|---|---|---|---|
H1 | IQ -> PE | 0.790 | 10.067 ** | 0.000 | supported |
H2 | IQ -> EE | 0.697 | 10.268 ** | 0.000 | supported |
H3 | IQ -> CI | 0.097 | 0.768 | 0.443 | rejected |
H4 | PE -> CI | 0.229 | 2.994 ** | 0.003 | supported |
H5 | EE -> CI | 0.029 | 0.565 | 0.572 | rejected |
H6 | SE -> CI | 0.133 | 2.418 * | 0.016 | supported |
H7 | PC -> CI | 0.079 | 0.842 | 0.400 | rejected |
H8 | HM -> CI | −0.016 | −0.314 | 0.754 | rejected |
H9 | PV -> CI | 0.020 | 0.476 | 0.634 | rejected |
H10 | HT -> CI | 0.530 | 9.788 ** | 0.000 | supported |
Hypotheses | Total Effect | Direct Effect | Indirect Effect | p-Value | Decision | |
---|---|---|---|---|---|---|
H11 | IQ -> CI IQ -> EE -> CI | 0.442 - | 0.144 - | 0.298 0.267 * | - 0.011 | full mediated |
H12 | IQ -> EE -> CI | - | - | 0.030 | 0.613 | rejected |
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Lee, S.W.; Sung, H.J.; Jeon, H.M. Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. Sustainability 2019, 11, 3141. https://doi.org/10.3390/su11113141
Lee SW, Sung HJ, Jeon HM. Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. Sustainability. 2019; 11(11):3141. https://doi.org/10.3390/su11113141
Chicago/Turabian StyleLee, Suk Won, Hye Jin Sung, and Hyeon Mo Jeon. 2019. "Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality" Sustainability 11, no. 11: 3141. https://doi.org/10.3390/su11113141
APA StyleLee, S. W., Sung, H. J., & Jeon, H. M. (2019). Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality. Sustainability, 11(11), 3141. https://doi.org/10.3390/su11113141