## 2 Materials and Methods
### Materials
#### 2.1.4 Intrinsic and Extrinsic Motivational Factors  
According to our study, we considered intrinsic motivational factors: Effort Expectancy (EE), Attitude Towards IoT (IoTA), Perceived Autonomy (PA), Perceived Competence (PC), Perceived Relationship (PR). The extrinsic motivational factors considered were: Performance Expectancy (PE), Facilitation Conditions (CF), Social Influence (SI), Perceived Confidentiality (PP), Perceived Security (PS) and Behavioral Intention (BI). Effort Expectancy (EE) shows the extent to which the use of technology is easily perceived by users [36] and which also includes the degree of perceived complexity [57] being important in the context of personal and workplace technologies. Perceptions of ease of use [38] and perceived utility have been reflected in several studies using the TAM model with a significant impact on behavioral intentions to use IoT technologies such as: (1) e-learning [58], (2) blogs [59], (3) mobile devices [60], (4) IoT applications [61], (5) wearable technology [62; 63], (6) adoption of mobile banking [64] and Internetbanking [65], (7) urban technologies [66], (8) virtual reality [67] and (9) teaching technologies [68]. Therefore, we consider that the performance effort will have a positive impact on the intrinsic motivation of using IoT solutions by managers and the first hypothesis that will be tested will be:  
**H1. **_Effort Expectancy has a significant impact on Intrinsic Motivation_  
Attitude Towards IoT (IoTA) shows the extent to which users express their feelings or opinions about IoT solutions. Specialist studies have shown positive attitudes of most users related to IoT solutions [69] finding them interesting, captivating and attributing a higher quality to the information transmitted [70] thus contributing to efficiency, safety and convenience to their activities. Based on the robustness of IoT applications that contribute to facilitating the activities of managers, the interest, pleasure and joy of using them by managers, we believe that the attitude towards IoT will have a positive impact on the intrinsic motivation to use IoT solutions by managers. and the second hypothesis tested will be:  
**H2. **_Attitude toward IoT has a significant impact on Intrinsic Motivation_  
Perceived Autonomy (PA) shows the degree to which the user of a particular IoT system considers that he would use it with the minimum necessary resources (e.g., additives, supplements, accessories, additional hardware, additional software, extra networking and additional energy) [71] in order to carry out managerial activities. Considering the different options and opportunities for developing the desired activities which will allow managers to better coordinate their activities by finding efficient and fast solutions, while monitoring and controlling a wide range of IoT devices, the third hypothesis was formulated. It consists of the manifestation of a positive impact of the perceived autonomy on the intrinsic motivation of using IoT solutions by managers. **H3. **_Perceived Autonomy has a significant impact on Intrinsic Motivation_  
Perceived Competence (PC) shows the ability of a person to successfully perform the tasks received being significantly correlated with the results obtained [72]. Correlated with perceived autonomy and self-efficacy, self-competence becomes an important predictor for the learning environment [72; 73] being strongly related to intrinsic motivation [74]. Users' perception of IoT solution management skills, skills developed through connectivity to IoT solutions and their use, we consider that the perceived competence has a positive impact on the intrinsic motivation to use IoT solutions by managers and the fourth hypothesis tested will be:  
**H4. **_Perceived Competence has a significant impact on Intrinsic Motivation_  
Perceived Relatedness (PR) indicates the quality of the relationship between the user of IoT solutions and the perception given by the user.