# 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?
Examples of elements in this category are the IoT team, digital competencies, experience, and training, among the most prominent [49];Resources: This dimension covers the physical, financial, and information resources required to establish IoT technology [69] and includes aspects of resource allocation, utilization, and management, as well as information systems and technologies to support the measurement process [42];  
Governance and management: This category includes the procedures and division of responsibilities for IoT adoption, implementation, and security within the organization [54], the integration of IoT into development and quality processes and parameters [58], the use of reference architectures and standard frameworks for risk assessment and compliance [25], the investment of resources and capabilities in IoT adoption and security, and the monitoring and feedback mechanisms for continuous improvement and innovation [57];  
Collaboration and communication: This category includes collaboration and communication between the various departments and functions involved in IoT adoption [62], the creation of cross-functional and cross-organizational digitization networks to facilitate knowledge sharing [18] and collaboration, the coordination and alignment of IoT team roles and responsibilities, and the involvement and integration of customers and partners in the IoT ecosystem [50]. These dimensions, factors, or organizational elements are not mutually exclusive and can interact and influence each other within the measurement process of maturity models. While some models focus on technical capabilities, others take a more holistic view, incorporating organizational factors such as business processes, culture, governance, and resource management [70]. Many models assess an organization's willingness and ability to adopt new technologies or work methods. In general, several models recognize that organizational dimensions beyond technology influence maturity and capability, but only some of these aspects are considered in these mechanisms;  
* **Human dimensions** The measurement process of the proposed maturity models for IoT and associated technologies incorporates multiple dimensions, factors, or elements linked to human beings, who are IoT technology's leading actors and beneficiaries. According to the existing literature, human elements can be grouped into four categories: skills and competencies; culture and awareness; involvement and participation; and feedback and evaluation. However, the predominant maturity models focus primarily on organizational processes, practices, and technological capabilities, often disregarding an overall integration of the human elements;  
Capabilities and competencies: This set of dimensions refers to the knowledge, education, training, and experience of the organization's employees, managers, and stakeholders in IoT and related technologies [43; 54]. Skills and competencies can influence adoption, implementation, and innovation within this technology domain, impacting the performance and quality of IoT integration processes and outcomes. Some maturity models assess the current state and development needs in areas such as employee digital skills [25], IoT awareness and capabilities [69], role-specific qualifications, and overall workforce readiness to adopt new technologies. The assessment of human capabilities enables optimal system functionality and effective utilization of technology by the workforce [74]. Some indicators or subdimensions of this category are IT knowledge and skills, IT capabilities, IoT competencies [47], digital skills and experience [52], technical skills, interdisciplinary skills [68], management skills, professional training, innovativeness, and human-machine-environment harmony [45];  
Culture and Awareness: This category refers to the acceptance, support, motivation, and openness of organizational culture [41], individual attitudes towards IoT [18], and related technologies.