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. 2021 Oct 13;7(10):e08169. doi: 10.1016/j.heliyon.2021.e08169

Table 1.

Summary of related studies on online purchase and intention to use through the use of technology acceptance theories and its extension.

Group Year Authors Context Based Model Antecedents Constructs Outcome Variable (s)
E Commerce 2009 Lee The adoption of internet banking Trust, TAM PU, PEU,PT AT Intention
2016 Law et al. Online purchase intention for middle-aged users TAM PU, PEU AT Purchase intention
2019 Driediger and Bhatiasevi Online grocery shopping TAM SN, PR, VIS, perceived enjoyment - Intention to use, Usage Behavior
2020 Pena-Garcia et al. Online purchase A cross-cultural TAM, PU,PEU AT Purchase intention
M-Commerce 2010 Kim et al. Intention to use m-payment TAM, UTAUT Individual differences, MPS characteristics PU, PEU Intention to Use M-Payment
2012 Zhang et al. The factors that influence mobile commerce adoption TAM PU, PEU AT, Attitude, Behavioral intention, Actual use
2013 Chong Mobile commerce usage activities TAM PU,PEU,PT - Intention to adoption
2014 Tan et al. Intention to use mobile learning TAM PEU, PU, PIIT, SII - Intention
2015 Gao et al. Continuance intention towards mobile purchase TAM, UTAUT, Information system success System Quality, Information quality, Service quality, Privacy and security PT, Flow, PS Intention mobile purchase
2015 Agrebi and Jallais Intention to use smartphones for m-shopping Extended TAM PE PU, PEU Satisfaction, Intention to use
2017 Liébana-Cabanillas et al. Predicting antecedents of m-commerce acceptance TAM PU, PEU,PT - Behavioral intention
2017 Mehrad et al. Word of Mouth impact on the adoption of mobile banking TAM WOM,PT,SN PU,PEU Intention
2017 Natarajan et al. shopping applications and its influence on price sensitivity TAM, DOI PR,PU,PEU,PEJM, PI Satisfaction, Intention to Use Price Sensitivity
2018 Chou et al. Factors influencing the adoption of m- commerce TAM, TPB PU, PEO Online Purchase Intention Online purchase behavior
2018 Chi Consumer adoption of apparel mobile commerce TAM Brand Loyalty, Brand Association, Perceived Quality, Brand Image, Information Quality, System Quality, Service Quality PU, PEU Attitude, Intention to use
2018 Hajiheydari and Ashkani Mobile application user behavior in the developing countries TAM self-efficacy, Response efficacy, SQ, IQ,SQ,SN, Attitude,PT, PS, Flow Mobile App Adoption,
PBC
PU,PEU
Intention to recommend
2020 Cui et al. Cross-border m-commerce (CBMC) Adoption Psychological Distance, Commitment-Trust Theory Trust in This CBMC, Relationship Commitment Intention to use
2020 Singh et al. The adoption and recommendation of mobile wallet services TAM PEU, PU, PR, Attitude Intention to use, Perceived satisfaction Recommendation to use
2016 Hsiao et al. Continuance usage of mobile social Apps TAM PU, PEU, Social Ties PS, Habit Continuance Intention
2020 Dakduk et al. Acceptance of mobile commerce in low-income consumers UTAUT2 Performance Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, Perceived Security and Perceived Trust PT Behavioral Intention
SCommerce 2018 Gibreel et al. S-commerce development in emerging markets TAM, Familiarity, WOM, Technological Utility, Governing form factors PT, PU Intention to search, Intention to Buy

Abbreviation Legend: Compatibility (COM), Perceived Cost (PC), Perceived Ease of Use (PEU), Perceived Enjoyment (PEJ), Perceived Privacy (PP), Perceived Quality (PQ), Perceived Risk (PR), Perceived Security (PS), Perceived Trust (PT), Perceived Usefulness (PU), Personal Innovativeness (PI), Attitude (AT), Word of Mouth(WOM), Perceived satisfaction (PS), Performance Expectancy (PE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Habit (H), Perceived Security (PS), Perceived Trust (PT).