Evolution of Information Technology: A Comprehensive Review

Pervasive computing, wireless sensor networks, and M2M communication have fuelled the Internet of Things. The IoT connects and interacts with many physical items using unique internet addresses. This article covers the structure and technologies of the Internet of Things (IoT). The Internet of Things (IoT) needs a standard structure. Thus, it begins with a complete explanation of architectural designs and then discusses communication protocols and standards. The article also includes a succinct review of common IoT protocols and standards, helping the reader comprehend the topic. It also provides concrete solutions and tactics for addressing Internet of Things issues. The essay culminates by demonstrating the practical applications of the Internet of Things (IoT). Nolan's Stages Theory offered a new perspective on commercial IT development in 1973. The rapid digital revolution has changed its underlying foundation, despite its continuous use. The initial idea focused on IT in production. Later, it expanded to include the complex relationship between IT and organisational strategy. Since its inception, the methodology has helped business and IT leaders navigate IT adoption without technical details. Nolan's Stages Theory still applies, but cloud computing, artificial intelligence, big data, and the Internet of Things require a more evolved approach. The rapid progress of technology has blurred the barriers between IT and other company functions, requiring a complete digital transformation strategy. Information systems and organisational structures have grown in importance and interconnection. As firms gained independence and flexibility, IT systems developed. IT integration into key company activities has transformed it into a strategic enabler. Nolan's strict methodology provides valuable insights into history, but it limits understanding of the dynamic and transformational forces altering the digital landscape. Contemporary studies emphasise the need for flexible and adaptive frameworks to accommodate the rapid pace of technological advances and their impact on organisational structures and business models. Nolan's Stages Theory is still significant in IT administration, although it has limitations in today's networked and data-driven business contexts. Future research should develop sophisticated and forward-thinking models to help organizations navigate the digital transition.