## 4 Conclusions  
A new construct model was presented and validated, fulfilling the purpose of marketing research--identifying and analyzing the impact of factors in the spectrum of intrinsic and extrinsic motivations on the behavior of using IoT solutions among company managers in Romania in the future. A significant contribution was made both by developing the UTAUT construct model and by fulfilling the three objectives of our research. Thus, in assessing the extent to which exogenous variables had an impact on intrinsic motivation, it was shown that three out of five factors showed a positive and significant influence (Effort Expectancy (EE), Perceived Autonomy (PA) and Perceived Relatedness (PR)). At the same time, the direct and significant impact of the factors: Performance Expectancy (PE), Social Influence (SI) and Perceived Security (PS) on extrinsic motivation was illustrated. The positive and significant impact of the endogenous variable Intrinsic Motivation (IM) on the behavioral intention to use IoT solutions by managers of Romanian companies at work has been clearly demonstrated, even if that of Extrinsic Motivation remains only a positive one. Corroborating the obtained results, the structural model explains 45.2% of the variance of the behavioral intention of Romanian managers to use IoT solutions at their workplace. In this context, eight of the thirteen hypotheses formulated were confirmed by empirical reality (H\({}_{1}\), H\({}_{3}\), H\({}_{5}\), H\({}_{6}\), H\({}_{7}\), H\({}_{10}\), H\({}_{12}\), H\({}_{13}\)). In the first stage, the exogenous variables EE (\(\beta\) = 0.175; \(p\) = 0.016) and PA (\(\beta\) = 0.123; \(p\) = 0.013) had a positive and significant impact on the endogenous IM factor, confirming the acceptance of hypotheses H\({}_{1}\) and H\({}_{3}\). The construct model indicates a high empirical correlation (0.778) between the ease of understanding/understanding how to monitor, control and use IoT solutions (EE4) and the feeling of closeness to colleagues and business partners (PR1). On the other hand, there is a moderate positive empirical correlation (0.488) between the feeling that the use of IoT solutions will allow them  
Figure 8: Distribution of load coefficients. to better coordinate workplace activities (PA2) and the exchange of ideas through the IoT partner community (FC1). Another result of the analysis confirms the null hypothesis (H\({}_{5}\)) according to which Perceived Relatedness (PR) has a significant but strong impact on Intrinsic Motivation (\(\beta\) = 0.231, \(p\) = 0.043). Another significant and strong correlation was identified between the feelings of being well listened to by colleagues and partners (PR1) and the feelings of involvement, pleasure and satisfaction (IM1) (0.732). Unlike the other factors, the variable PC (\(\beta\) = -0.010) does not exert any impact on MI, while the exogenous factor AT (\(\beta\) = 0.079, 1.186 \(<\) 1.96) shows a positive but insignificant impact. Our finding on the impact of latent EE, PA and PR variables on MI has been fully supported by other previous research [125; 126]. In the second stage, the impact of the latent variables PE (\(\beta\) = 0.136; \(p\) = 0.024) and SI (\(\beta\) = 0.139; \(p\) = 0.001) on the exogenous factor EM was significant, reason for which the null hypotheses H\({}_{6}\) and H\({}_{7}\) were accepted. Given the use of IoT solutions by managers, the variable (PE4) that supports the acquisition of new interpersonal skills in programming shows a strong correlation (0.870) to the contribution to personal success (EMI1). A positive but moderate correlation (0.558) was found between the help provided by the community in finding the best IoT solutions (SI2) and the recognition of personal achievements (EM2). At the level of the entire researched population, the Performance Security factor (PS) has a significant, strong impact (\(\beta\) = 0.590; \(p\) = 0.000) on the endogenous variable Extrinsic Motivation (EM).