Designing and Evaluating an Innovative Text Analytics Solution for Online Retailers’ Operational Decision Support

Managers are required to be deeply involved in strategic decision-making for businesses in dynamic environments. Online retailers make critical decisions as part of their strategic initiative and an objective is to the design and evaluation of an innovative text analytics solution. This study seeks to conduct design research for addressing decision support issues, leveraging natural language processing and machine learning techniques to extract valuable insights. The proposed solution offers actionable recommendations to enhance online retail operations. Employing design science research methodology, we encompass stages of problem formulation, design, evaluation, and deployment. The solution is to be evaluated using data sets from publicly available data sources. The outcome of the offers a validated solution that meets the needs of online retailers and adds value to their decision making. Also, can lay a robust foundation for future research in text analytics for online retail.