# 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? In the following question, to better understand the various dimensions considered in the construction and development of IoT maturity models, the following classification of these dimensions into three main categories is proposed: technological dimensions; organizational dimensions; and human dimensions. According to the reviewed scientific corpus, these categories represent significant clusters in which the different dimensions identified in the maturity models can be classified. * **Technological dimensions** The measurement process of the proposed maturity models for different IoT domains and applications in organizational contexts considers several technological dimensions, factors, or elements that reflect IoT solutions' level of development, integration, and sophistication [26]. It is generally considered a multidimensional assessment of complex technical components encompassing infrastructure [61], devices, networks [62], software, IoT automation [45], and soft aspects of the technology, such as practices [13], capabilities, complexity [22], and readiness. In addition, a broad set of standards, frameworks, and architectural blueprints [25] also guides these measurement processes to assess the sophistication, integration, and effectiveness of IoT transformations. Dimensions frequently employed in maturity models include topics such as infrastructure [18], integration, interoperability [60], data quality, architecture, and security/ privacy [63]. Specific technology components evaluated cover IoT devices, systems, and platforms [64]; network and communication protocols; data capture, transmission, and analysis [42]; sensors, robotics, augmented/virtual reality, and the Blockchain [65]. The capability areas are related to product knowledge, vulnerability identification, assessment, and remediation [54] and update delivery mechanisms, version tracking, and associated patches [52]. The practices aim to assess each capability's policies, processes, controls, and response mechanisms. Other factors revolve around current organizational maturity, the complexity of technology integration, prioritization based on strategic drivers, relevance to core operations/products, and overall readiness considering personnel, culture, and training [66]. The technology dimensions generally establish IoT maturity in technology issues related to its technical infrastructure, data management, application characteristics, and alignment with the organization's business processes and customer needs. The literature consulted shows certain commonalities concerning the dimensions proposed in the domain maturity models, which can be grouped into four main categories: technology and infrastructure; data and information; process and application; and security and privacy [29]. Technology and infrastructure: these dimensions cover the availability and quality of hardware and software components that enable IoT solutions, such as devices, sensors, networks, platforms, architectures, standards, and protocols [63; 67]. In general, these dimensions assess the degree of connectivity [62], interoperability [60], automation, and innovation of the technology infrastructure [57], as well as the compatibility and suitability of the technologies for the specific IoT domain and application [52]. These dimensions also consider the physical [55] and logical [48] components that enable IoT solutions' sensing, actuation, processing, and networking. The measurement process considers the type, quality, functionality, security, and reliability of devices and systems [56], as well as the degree of automation, human-machine cooperation [68], and autonomy they provide [25]. This category includes device type, priority, management, platform management, safety practices, and fine-grained elements such as water and dust protection.