Technological Adoption and Innovative Work Behavior in the Hotel Industry: A Case of Five Selected Hotels in Kampala City, Uganda

The study examined Technological Adoption and Innovative Work Behavior in the Hotel Industry, a Case of Five Selected Hotels in Kampala City, Uganda. The study mainly focused on three specific objectives: To examine the relationship between Property Management Systems and Innovative Work Behavior; to assess the relationship between Mobile Applications and Innovative Work Behavior and to analyze the relationship between Online Booking Platforms and Innovative Work Behavior in selected hotels in Kampala City. The cross-sectional research design employed both qualitative and quantitative data collection techniques. Krejcie and Morgan Sample Size Determination Table was used to select a sample size of 291 participants / respondents from a population of the selected hotels and 233 questionnaires collected for analysis. Data was examined using both descriptive and inferential statistics, including ANOVA, Pearson correlation, and model summaries for regression analysis. The findings show a positive and significant correlation between technological adoption and innovative work behavior (r=.853, P<0.05). This reveals that the integration of property management systems, mobile applications, and online booking platforms significantly influence innovative work behavior by improving efficiency, facilitating collaboration, encouraging adaptive problem-solving, and promoting a culture of continuous improvement. These technologies create an environment where staff are better equipped to focus on creative solutions and respond dynamically to emerging challenges. The research concludes that improving Property Management Systems (PMS) and fostering innovative work behavior in hotels are interconnected goals that drive operational excellence and guest satisfaction; mobile applications are a powerful driver of innovative work behavior in hotels and Online Booking Platforms significantly impact innovative work behavior in hotels by streamlining operations, enhancing data utilization, and encouraging experimentation. The study recommended that hotels should use PMS automation features to handle routine tasks such as guest check-ins/outs, invoicing, and housekeeping assignments. This reduces manual work and frees up staff time for more innovative activities. The study also recommends that hotel should select mobile apps that align with its operational needs and guest service goals, focus on apps that enhance efficiency, data utilization, and guest interaction.