## 7 Discussion  
This study aimed to provide an overview of IoT adoption studies in organizations and evaluate the current research situation. This review could help researchers to identify the key benefits and challenges of IoT adoption, explore the theoretical models used to guide and support IoT adoption studies, and identify critical factors that influence IoT adoption in organizations. The findings of this study can be used as a guide for practical implementation, providing managers with relevant information to promote and support \begin{table}
\begin{tabular}{c c c} \hline \hline
**Factor** & **Variable** & **Reference** \\ \hline \multirow{8}{*}{Technological factor} & Relative advantage & [13; 25; 35] \\  & Complexity & [25; 40; 56] \\  & Compatibility & [13; 23; 25; 35; 38; 40] \\  & Security and privacy & [11; 17; 23; 25; 33; 35; 36; 56] \\  & IT infrastructure & [21; 23; 33; 35; 38; 56] \\  & Implementation cost & [35; 40; 42; 45; 56] \\  & Technology readiness & [15; 25; 23; 52; 53] \\  & Perceived usefulness & [39; 68] \\  & Perceived ease of use & [11; 39; 68] \\ \hline \multirow{8}{*}{Organizational factor} & Organizational readiness & [23; 35; 56] \\  & Absorptive capacity & [13; 45] \\  & Top management support & [13; 23; 25; 33; 35; 40; 56] \\ \cline{1-1}  & Innovation capacity & [15; 45] \\ \cline{1-1}  & Organization sector & [13; 33] \\ \cline{1-1}  & Organization size & [13; 25; 38; 40; 56] \\ \cline{1-1}  & Organization age & [45] \\ \hline \multirow{8}{*}{Environmental factor} & Competitive/external pressure & [13; 15; 23; 25; 33; 35; 40; 42; 56] \\  & Government regulations & [21; 23; 25; 33; 38; 40] \\ \cline{1-1}  & Environmental uncertainty & [13; 40] \\ \cline{1-1}  & Vendor/outside support & [13; 23; 35; 56] \\ \hline \multirow{8}{*}{Human factor} & IT skill and knowledge & [23; 35; 39; 40; 56] \\  & IT expertise & [21; 23; 35; 56] \\ \cline{1-1}  & Employee resistance & [38; 40; 56] \\ \cline{1-1}  & Customer experience & [11] \\ \cline{1-1}  & Trust & [40; 42] \\ \hline \multirow{8}{*}{Benefit factor} & Perceived benefits & [15; 23; 40; 42; 45] \\  & Business integration & [17; 36] \\ \cline{1-1}  & Customer satisfaction & [11] \\ \cline{1-1}  & Tasks efficiency & [11] \\ \cline{1-1}  & Better decision making & [11; 36; 56] \\ \cline{1-1}  & Data accuracy and analytics & [21; 36] \\ \cline{1-1}  & Competitive advantages & [11] \\ \cline{1-1}  & New revenue stream & [11; 56] \\ \cline{1-1}  & Asset management efficiency & [36] \\ \hline \multirow{2}{*}{Value factor} & Business value & [11; 25] \\ \cline{1-1}  & Time-saving & [36] \\ \cline{1-1}  & Cost optimization & [11; 25] \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Factors that influence the IoT adoption in organizations. IoT applications before and during the adoption phase, thereby ensuring the success of IoT solution deployment. The systematic review technique ensured that the search process was accurate and impartial. A general data analysis of the selected 77 studies was presented, then the four research questions were addressed. The first question provided a coherent taxonomy of existing research to provide a roadmap for future research. Generally, the publication trend denotes an increasing interest in implementing IoT in organizations. However, only 44 empirical studies have been identified, indicating that IoT adoption is still in the early stage and that more research is required in the field. The second question highlighted IoT benefits to organizations, classified into two groups: direct and indirect. However, there are limited studies that examine the benefits of IoT. Investing in IoT technology is costly, and the potential benefits of IoT are still vague for organizations [29]. Thus, decision-makers in organizations desire clear benefits and returns on investment. Otherwise, they believe IoT is a useless technique and will withhold investment until its benefits are clearly demonstrated.