Managing Statistical Survey Data Through Conceptual Modelling

This report delves into the critical role of conceptual modeling in managing statistical survey data, particularly within the context of operations management. It begins with a literature review, examining the importance of conceptual modeling in understanding business operations and identifying the benefits of its use. The research methodology section outlines the type of investigation (descriptive), research approach (inductive), research strategy (survey and literature review), and design (qualitative) employed to analyze data. Data collection methods include primary and secondary sources, such as surveys and literature reviews, with a focus on probability sampling techniques. The report also discusses the data analysis methods, including descriptive content analysis and the use of Excel and SPSS software. The primary goal of the research is to improve the quality of operations management research by addressing the issues that arise during survey research and highlighting the importance of systematic methods and conceptual models.