Table 1.
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).