# Analysis of Enterprise Internet of Things Maturity Models: A Review
## 1 Introduction  
The Internet of Things (IoT) is a technological paradigm involving the interconnection of physical objects equipped with sensors, computational capabilities, and software, enabling them to communicate and exchange data with other devices and systems over the Internet or networks [1, 2]. IoT has emerged as a globally important technology with significant societal impact in multiple domains [3]. At the societal level, IoT can improve the quality of life by creating smart homes, intelligent transportation systems, and innovative methods of managing health, safety, and security [4, 5]. In the context of businesses or organizations, IoT facilitates improvements in various aspects, such as asset utilization, reliability, productivity, production analysis, identification of market trends, and supplychain management [6]. This technology also enables companies to increase efficiency, speed up processes, reduce errors, avoid theft, and implement complex and flexible organizational systems [7]. This translates into added value for the organization by providing additional services based on the company's personalized customer service. Along these lines, technological maturity refers to the level of advancement or progression that a given technology or innovation has reached in a specific context, sector, or organization [8]. The IoT, due to its importance for companies and its potential advantages, requires periodic evaluations of its technological maturity in organizations [9] because they yield critical data on the degree of adaptation and deployment of technology [10], facilitating the improvement of decision-making processes, the efficient allocation of resources, the optimization of technological functionalities [11], and the proactive management of risks [12] and competitive advantages. It also plays a crucial role in fostering innovation and driving digital metamorphosis [13]. By assessing their technological maturity, organizations are better equipped to make well-informed decisions about future investments in IoT and other technologies [9]. Considering the above and IoT's benefits to organizations, several challenges have emerged regarding adopting and implementing this technology in enterprises. In this regard, there are challenges in different areas of the enterprise, such as technological challenges involving the integration of IoT with other technologies [14]. Also, organizational challenges include employees needing more skills or knowledge and top management commitment [15]. There are also challenges related to the immaturity of industry standards [16] and security challenges, which have to do with privacy concerns and protection mechanisms [17]. Fundamentally, challenges are associated with determining IoT technological maturity within the organizational context, such as the rapid pace of technological advancement that complicates the ability of companies to keep up with and accurately assess their current technological situation [18]. Another challenge is the continuous need for companies to adapt and evolve their solutions to remain competitive [13]. Challenges related to specific mechanisms are related to the need for comprehensive, adaptable, and easy-to-use tools that help companies assess their IoT technology maturity and inform their future development strategies [13; 19]. Several mechanisms have been developed, given the importance of assessing IoT technological maturity in enterprises. Among them are technology appropriation indices [20], scorecards [13], and maturity models [21; 22], the latter being the primary mechanism for this task and the most reported in the existing literature [18]. However, there is a gap in this domain because, although there are studies that compile the existing literature on maturity models for enterprise IoT, they lack a systematic characterization of internal measurement processes. Furthermore, they do not indicate how maturity models support practical post-measurement improvement within organizations.