Main Article Content

Internet of Things for archival ease of access to users in the Fifth Industrial Revolution


Mashilo Modiba
Ngoako Solomon Marutha

Abstract

The prevalence of the internet of things has significantly contributed to streamlining archival access for users in the Fifth Industrial Revolution. The internet of things is characterised by physical objects equipped with sensors, processing capabilities, software and other technologies that facilitate data exchange with devices and systems over the internet or other communication networks. In the fifth industrial revolution, the internet of things can play a pivotal role in ensuring quick and efficient access to archival materials within archival institutions. The internet of things involves the use of intelligently connected devices and systems, utilising data collected by embedded sensors and actuators in physical objects. Technologies such as radio frequency identification, sensors, tags and AI-driven applications like the smart archival app can expedite the retrieval of archival records. This study sought to investigate the application of the internet of things to enhance archival access for users, employing content analysis to develop a framework for implementing the internet of things in archival settings. The findings indicate that utilising RFID, sensors and tags significantly accelerates access to archival records by efficiently tracking their location. This presents a promising solution for users who currently invest considerable time, money and effort to access required archival materials, often requiring visits to archival institutions. The study proposes a comprehensive framework for applying the internet of things to facilitate archival access for users in the Fifth Industrial Revolution. The hope is that this framework can serve as a valuable benchmark and guideline for implementing the internet of things in archival settings, offering efficient access to archival materials in the Fifth Industrial Revolution.


Journal Identifiers


eISSN: 0376-4753