Food delivery app usage intention questionnaire (UTAUT2)

Food delivery apps are a familiar topic, easy to find respondents for, and a good fit for UTAUT2 because users pay themselves and use the apps out of habit. This template drops facilitating conditions to keep the questionnaire shorter; you can add them back if your literature review needs them.

Research model

Reduced model from UTAUT2 (Venkatesh et al., 2012): six factors affect behavioral intention.

• Performance Expectancy → Behavioral Intention (positive)
• Effort Expectancy → Behavioral Intention (positive)
• Social Influence → Behavioral Intention (positive)
• Hedonic Motivation → Behavioral Intention (positive)
• Price Value → Behavioral Intention (positive)
• Habit → Behavioral Intention (positive)

Questionnaire items

Original English wording. Answered on a 5-point Likert scale (1 = Strongly disagree … 5 = Strongly agree) unless the scale page says otherwise; (R) marks a reverse-coded item.

Performance Expectancy (PE) · UTAUT2 scale

Code	Item
PE1	I find [mobile Internet] useful in my daily life.
PE3	Using [mobile Internet] helps me accomplish things more quickly.
PE4	Using [mobile Internet] increases my productivity.

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Effort Expectancy (EE) · UTAUT2 scale

Code	Item
EE1	Learning how to use [mobile Internet] is easy for me.
EE2	My interaction with [mobile Internet] is clear and understandable.
EE3	I find [mobile Internet] easy to use.
EE4	It is easy for me to become skillful at using [mobile Internet].

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Social Influence (SI) · UTAUT2 scale

Code	Item
SI1	People who are important to me think that I should use [mobile Internet].
SI2	People who influence my behavior think that I should use [mobile Internet].
SI3	People whose opinions that I value prefer that I use [mobile Internet].

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Hedonic Motivation (HM) · UTAUT2 scale

Code	Item
HM1	Using [mobile Internet] is fun.
HM2	Using [mobile Internet] is enjoyable.
HM3	Using [mobile Internet] is very entertaining.

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Price Value (PV) · UTAUT2 scale

Code	Item
PV1	[mobile Internet] is reasonably priced.
PV2	[mobile Internet] is a good value for the money.
PV3	At the current price, [mobile Internet] provides a good value.

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Habit (HT) · UTAUT2 scale

Code	Item
HT1	The use of [mobile Internet] has become a habit for me.
HT2	I am addicted to using [mobile Internet].
HT3	I must use [mobile Internet].

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Behavioral Intention (BI) · UTAUT2 scale

Code	Item
BI1	I intend to continue using [mobile Internet] in the future.
BI2	I will always try to use [mobile Internet] in my daily life.
BI3	I plan to continue to use [mobile Internet] frequently.

Source: Venkatesh et al. (2012). See UTAUT2 scale.

Tips

• Explain in Chapter 2 why facilitating conditions are dropped, otherwise the committee will ask.
• The original PE4 is about work productivity; this template rewrites it for the eating context. The original HT3 is 'I must use', and a literal translation such as 'I have to use' can be read as being forced, so it was rephrased.
• Price value asks about delivery fees and menu prices; adjust the wording for clarity but keep the original meaning.
• Survey only people who have used the app at least once, because habit and enjoyment require real experience.

Work out the minimum sample size for this model; once the data are in, clean the responses and run the survey data analysis for your results chapter.

Studies that used this model

• Luong, Dao, Nguyen, La, Tran and Duong (2023). Continuous Behavior of Using Food Delivery Mobile Applications in Vietnam after Covid-19 Pandemic. Journal of Distribution Science, 21(3), 47–60. Sample: 473 users in Hanoi, with 18-22 year olds the largest group; UTAUT2 plus information quality; regression. Reliability: α 0.784-0.881 (Table 1).
• Chang, Chao and Nguyen (2024). Beyond convenience: exploring the determinants of continuance usage intentions in online food delivery services in Vietnam. International Journal of Research in Business and Social Science, 13(4), 1–14. Sample: 406 users of food delivery services; UTAUT with health consciousness as moderator; PLS-SEM. Reliability: α 0.870-0.929 (Table 2).

Collecting responses

If your own network cannot reach the target respondents, you can pay for verified responses through Genius Data (referral link, we may earn a commission), paying only for approved responses.