Browsing by Author "Banzi, Nkanyisi Noor"

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    Factors affecting the adoption of robotic process automation in inventory management
    (University of the Western Cape, 2024) Banzi, Nkanyisi Noor
    The manufacturing companies deal with a large inventory of raw materials daily. Traditional manual inventory management systems are time-consuming and subject to many errors. Customer satisfaction and competitive advantage are a primary concern of companies who want increased profits. Technologies such as Robotic Process Automation (RPA), are one step closer to a futuristic outlook of a high-tech modern world, and are currently a lifeline for most businesses. Companies with a poor inventory management system in place, services cannot be delivered effectively. As a result of technological upgrades, companies opt to procure technological solutions for inventory management using RPA that will increase operational effectiveness. The errors resulting from manual data entry into warehouse management systems are significant, and it takes a lot of time and labour to double-check the data quality with additional staff. This study followed the Technology Organisation Environment (TOE) framework to explore the factors affecting the adoption of a virtual workforce for effective inventory management within the manufacturing industry. A qualitative approach was used in this study. This study gathered data through interviews. The qualitative data from the interviews was recorded and transcribed verbatim. The researcher then applied the six thematic analysis steps for qualitative data analyses. Since interviews were face-to-face, anonymity was ensured, but confidentiality was maintained.