Summary of current IoT research findings
| Study | Context | Methodology | The significant IoT predictors |
|---|---|---|---|
| Choi and Kim (2016) | Smartwatches | Quantitative research |
|
| 562 participants | |||
| Karahoca et al. (2018) | IoT healthcare | Quantitative research |
|
| 426 participants | |||
| Belanche, Casaló, and Flavián (2019) | Robot-advisor services | Quantitative research |
|
| 765 participants | |||
| Aldossari and Sidorova (2020) | Smart homes | Quantitative research |
|
| 400 participants | |||
| Carlina and Kusumawati (2020) | Smart garden | Quantitative research 353 participants |
|
| de Boer, Alexander, Deursen and Rompay (2020) | IoT healthcare | Qualitative research |
|
| 100 participants | |||
| Lian et al. (2020) | Smart lockers | Mixed research |
|
| 262 participants | |||
| 50 interviews | |||
| Tsourela and Nerantzaki (2020) | IoT software application | Quantitative research |
|
| 812 participants | |||
| Van (2020) | IoT banking | Quantitative research |
|
| 290 participants | |||
| Arfi et al. (2021) | IoT healthcare | Qualitative research |
|
| 68 participants | |||
| Negm (2022) | IoT education | Quantitative research |
|
| 384 participants | |||
| Almomani et al. (2022) | IoT healthcare Smart-homes | Quantitative Review |
|
| 22 researches |
| Study | Context | Methodology | The significant IoT predictors |
|---|---|---|---|
| Smartwatches | Quantitative research | Product characteristics Product image | |
| 562 participants | |||
| IoT healthcare | Quantitative research | Perceived advantage Product image Perceived ease of use | |
| 426 participants | |||
| Robot-advisor services | Quantitative research | Mass media Subjective norms Perceived usefulness Product familiarity | |
| 765 participants | |||
| Smart homes | Quantitative research | Performance expectancy Effort expectancy Social influence Hedonic motivation Price value Security risk | |
| 400 participants | |||
| Smart garden | Quantitative research | Optimism Innovativeness Perceived ease of use Perceived usefulness | |
| IoT healthcare | Qualitative research | Product knowledge Internet skills | |
| 100 participants | |||
| Smart lockers | Mixed research | Perceived usefulness Perceived ease of use Product function Product convenience | |
| 262 participants | |||
| 50 interviews | |||
| IoT software application | Quantitative research | Product appropriation Perceived usefulness Perceived ease of use | |
| 812 participants | |||
| IoT banking | Quantitative research | Innovative willpower Perceived usefulness Perceived ease of use Product risk | |
| 290 participants | |||
| IoT healthcare | Qualitative research | Cost of using IoT | |
| 68 participants | |||
| IoT education | Quantitative research | Optimism Discomfort Insecurity | |
| 384 participants | |||
| IoT healthcare | Quantitative Review | Perceived ease of use Perceived usefulness Social influence Privacy Attitude Compatibility Cost | |
| 22 researches |