Some recent studies on OFDAs towards purchase intention
| Relevant studies | Theoretical foundation | Analytical approach | Key antecedents of OFDAs towards purchase intention |
|---|---|---|---|
| Winarno and Roostika (2024) | UTAUT | SEM | Social influence, effort expectancy, performance expectancy, trust and online purchase intention |
| Foroughi et al. (2024) | Technology continuance theory and task-technology fit model | SEM | perceived ease of use, attitude, perceived usefulness, continuance intention and perceived food safety |
| Munday and Humbani (2024) | UTAUT2 and task-technology fit (TTF) | SEM | performance expectancy, habit, hedonic motivation, perceived TTF, continuance intention and user experience |
| Teng et al. (2023) | UTAUT | SEM | performance expectancy, satisfaction, habit, continuance intention and trust |
| Sharma et al. (2023) | Protection motivation theory | SEM | restaurant credibility, food quality, e-service quality, price, OFDAs, consumer e-satisfaction, e-loyalty and consumer perceived COVID-19 risk |
| Nguyen and Nguyen (2024) | Expectation-confirmation model and information system success model | SEM | system quality, information quality, perceived usefulness, perceived enjoyment, satisfaction and continuance usage intention |
| Poon and Tung (2022) | TPB | SEM | attitude, subjective norm, positive and negative anticipated emotion, perceived behavioral control, users’ intention, performance risk, privacy risk, financial risk, physical risk and COVID-19 risk |
| Francioni et al. (2022) | Not mentioned | SEM | perceived healthiness, quarantine procedures, perceived hygiene, perceived ease of app use, attitude, fear of COVID-19, perceived risk, attitude and continuance intention |
| Hong et al. (2021) | TAM | SEM | Perceived usefulness, perceived ease of use, trust, price-saving benefits, time-saving benefits, food safety risk perception, perceived severity, perceived vulnerability and customer intention to use online food delivery |
| Bouarar et al. (2021) | TPB | multiple regression analysis | Attitudes, subjective norms, perceived behavior control, trust and fear of COVID-19 |
| Zanetta et al. (2021) | UTAUT2 | SEM | performance expectancy, social influence, hedonic motivation, price value, habit, frequency of using food delivery apps, solidarity, continuance intention and risk perception |
| Kumar and Shah (2021) | Pleasure arousal dominance (PAD) | SEM | app aesthetics generate pleasure, arousal, dominance emotions and continued usage intentions |
| Ali et al. (2021) | Theory of technology readiness (TTR) | SEM | optimism, innovativeness, insecurity, discomfort, situational influences, consumer adoption intentions and service usage behavior |
| Relevant studies | Theoretical foundation | Analytical approach | Key antecedents of OFDAs towards purchase intention |
|---|---|---|---|
| UTAUT | SEM | Social influence, effort expectancy, performance expectancy, trust and online purchase intention | |
| Technology continuance theory and task-technology fit model | SEM | perceived ease of use, attitude, perceived usefulness, continuance intention and perceived food safety | |
| UTAUT2 and task-technology fit (TTF) | SEM | performance expectancy, habit, hedonic motivation, perceived TTF, continuance intention and user experience | |
| UTAUT | SEM | performance expectancy, satisfaction, habit, continuance intention and trust | |
| Protection motivation theory | SEM | restaurant credibility, food quality, e-service quality, price, OFDAs, consumer e-satisfaction, e-loyalty and consumer perceived COVID-19 risk | |
| Expectation-confirmation model and information system success model | SEM | system quality, information quality, perceived usefulness, perceived enjoyment, satisfaction and continuance usage intention | |
| TPB | SEM | attitude, subjective norm, positive and negative anticipated emotion, perceived behavioral control, users’ intention, performance risk, privacy risk, financial risk, physical risk and COVID-19 risk | |
| Not mentioned | SEM | perceived healthiness, quarantine procedures, perceived hygiene, perceived ease of app use, attitude, fear of COVID-19, perceived risk, attitude and continuance intention | |
| TAM | SEM | Perceived usefulness, perceived ease of use, trust, price-saving benefits, time-saving benefits, food safety risk perception, perceived severity, perceived vulnerability and customer intention to use online food delivery | |
| TPB | multiple regression analysis | Attitudes, subjective norms, perceived behavior control, trust and fear of COVID-19 | |
| UTAUT2 | SEM | performance expectancy, social influence, hedonic motivation, price value, habit, frequency of using food delivery apps, solidarity, continuance intention and risk perception | |
| Pleasure arousal | SEM | app aesthetics generate pleasure, arousal, dominance emotions and continued usage intentions | |
| Theory of technology readiness (TTR) | SEM | optimism, innovativeness, insecurity, discomfort, situational influences, consumer adoption intentions and service usage behavior |
Source(s): Authors’ own creation/work
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