# Validating the Adoption of Heterogeneous Internet of Things with Blockchain
## 4 Methodology  
### Data Collection and Measurement  
This study revealed the level of integration between blockchain and IoT technologies, and the benefits and opportunities they achieved. The Technology Acceptance Model (TAM) [21] constitutes the conceptual framework of this study. The survey provides a method of collecting data that allows the researcher to discover knowledge about the phenomena under study. We developed a web-based survey to collect data from specialists in blockchain technology and IoT systems in Saudi Arabia. The survey was distributed to individuals who were randomly selected throughout LinkedIn as well as author contacts. A questionnaire was conducted for the collection of data from an intended sample \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Dimension Hypotheses** & **Domain Hypotheses** & **Description of Survey Questions** \\ \hline \multirow{6}{*}{**H1** Attitude-related factors have a positive influence on behavior intention towards IoT technology adoption. & **HLA:** Perceived usefulness has a positive effect on IoT blockchain technology adoption. & To measure the increase in the operating efficiency and system performance within the work environment. \\ \cline{2-3}  & **H1B:** Perceived ease of use has a positive effect on IoT blockchain technology adoption. & To measure the ease of apply IoT technology and its integration with other technologies. \\ \cline{2-3}  & **H1C:** Personal competency has a significant effect on IoT blockchain technology adoption. & To measure the level of cognitive knowledge. \\ \cline{2-3}  & **H1D:** Transaction intention has a significant positive effect on IoT blockchain technology adoption. & To measure the level of transparency and clarity. \\ \hline \multirow{6}{*}{**H2** Social influence related factors have a positive influence on behavior intention towards IoT blockchain technology adoption. & **H2A:** Social network has a positive effect on IoT blockchain technology adoption. & To study social impact through a secure network and open source. \\ \cline{2-3}  & **H2B:** Reputation has a significant positive effect of social on IoT blockchain technology adoption. & To measure the role of IoT blockchain technology in managing data and trusting it through distributed systems. \\ \hline \multirow{6}{*}{**H3A:** Data integrity has a positive effect on IoT blockchain technology adoption. & To study the effect of IoT blockchain technology are consistent with the objective of the data creators. \\ \cline{2-3}  & **H3B:** Data validity has a positive influence on IoT blockchain technology adoption. & To study the level of IoT blockchain technology outputs in correctly and reasonably. \\ \cline{2-3}  & **H3C:** Data governance has a significant effect on IoT blockchain technology adoption. & To measure the contributions of IoT blockchain blockchain technology to ensuring the preservation, protection and control of data by the authorized persons. \\ \cline{2-3}  & **H3D:** Data privacy has a positive influence on IoT blockchain technology adoption. & To measure the extent of IoT blockchain technology in ensuring the privacy and confidentiality of data. \\ \hline \multirow{6}{*}{**H4** Security related factors have a positive positive influence on trust towards IoT blockchain technology adoption. & **H4A:** Transaction risk has a positive impact on the intention to use blockchain technology in IoT. & To measure the operations executed through IoT blockchain technology led to reduce the risk percentage. \\ \cline{2-3}  & **H4B:** Technology risk positively affects the intention to use blockchain technology in IoT. & To measure IoT technology led to reduces the risk of thirdparty service failures. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The survey questions’ description. of 120 people interested in the adoption of blockchain and IoT technologies. The survey was conducted over a period of three months, starting from 5 October 2019 to 7 January 2020.