# Analysis of Enterprise Internet of Things Maturity Models: A Review
## 5 Results and Analysis
### 2 What Do the Proposed IoT Maturity Models Consider the Main Dimensions?
Culture and awareness can influence the willingness, readiness, and satisfaction of employees [45; 55] and stakeholders to use and benefit from IoT solutions, as well as the alignment of the organization's vision and goals with the opportunities and challenges of this technology. The proposed measurement mechanisms generally measure vision alignment, openness to change, communication and feedback channels, and a culture of continuous improvement and innovation where favorable conditions allow for progress along the maturity continuum [46]. Some of the indicators or subdimensions of this category are culture, governance [43], improvement culture, awareness, innovative culture, ethical sense, and responsibility [55];  
Involvement and participation: This category refers to the degree and quality of interaction, collaboration, and communication among an organization's employees, managers, and stakeholders regarding IoT and associated technologies [44; 49]. Involvement and participation can affect the efficiency, effectiveness, and resilience of IoT processes and outcomes, value creation, and solution delivery [70]. It is accepted in the literature that collaboration and communication within different work processes are beneficial in multiple aspects and areas [75]; in the specific domain of maturity models for IoT, collaboration between internal teams and external stakeholders is understood to be essential in determining maturity, where interdisciplinary cooperation [65], knowledge sharing between departments, coordination with IoT ecosystem partners, and stakeholder cooperation are assessed [60]. Multi-stakeholder involvement and dialogue facilitate problem-solving, leading to higher technological maturity [71]. Some indicators or sub-dimensions of this category are customer communication, partner communication, collaboration, team, autonomy, stakeholder involvement and engagement, user role and opinion, and practitioner involvement;  
Feedback and evaluation: This dimension refers to the methods and mechanisms used by the organization to collect, analyze, and use feedback, evaluations, reports, and suggestions from employees, managers, stakeholders, and customers regarding the performance, usability, reliability, security, and value of IoT in the organization [66; 69]. The comments and feedback can help the organization assess, monitor, and improve the maturity level, performance, and quality of processes and identify and address gaps, risks, and problems with solutions achieved with this technology. Indicators or sub-dimensions include data quality and expectations [48], satisfaction with data quality, feedback, complaints, usability, user satisfaction, efficiency, usefulness, and value attributed to IoT and its influence among various organizational stakeholders [52; 57]. Collectively, these elements contribute to the overall capability and quality of human involvement in various technological areas where IoT intervenes in the organization. Importantly, in specific domains such as organizational education for IoT technology use, the models incorporate [PERSON]'s taxonomy to assess levels of competence in line with the hierarchical framework of learning outcomes [47]. This highlights the importance of understanding and adapting to the cognitive processes involved in learning and applying technological topics. Finally, maturity models provide a framework for systematically assessing the human elements interrelated to the maturity measurement process, considering elements such as developing expertise through learning, creating an enabling organizational environment, enabling open communication and teamwork, and ultimately delivering user-centric systems that add value. As enterprises digitally transform, holistically addressing these socio-technical dynamics is imperative.