1. Introduction Purpose: briefly introduce the study. What to include: Who are the authors and year. ...

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1. Introduction Purpose: briefly introduce the study. What to include: Who are the authors and year. What they studied (topic, context, scope). Why the study is important or relevant. Example: “Breivik et al. (2023) studied inventory turnover efficiency by considering both firm-level and environmental factors, highlighting that performance is shaped not only by financial ratios but also by external conditions.” 2. Key Research Methodologies Purpose: explain how the research was conducted. What to include: The method used (e.g., Stochastic Frontier Analysis, panel regression). The dependent variable (always say what the DV is — here, inventory turnover). The independent variables (firm size, sales growth, gross margin, capital intensity, environmental factors). The model form (equation or regression design). Example: “Breivik et al. (2023) applied Stochastic Frontier Analysis (SFA) with inventory turnover ratio as the dependent variable (COGS ÷ Average Inventory). Explanatory variables included firm size, sales growth, gross margin, and location. The model took the form IT_{it} = f(X_{it};\beta)\exp(v_{it}-u_{it})ITit=f(Xit;?)exp(vit?uit), where u_{it}uit captures inefficiency.” 3. Key Findings and Research Gaps Purpose: summarize what the study found, and point out its limits. What to include: The results (positive/negative correlations, main drivers). Why the results matter. Limitations (only one industry, only U.S./Norway, not digital platforms). Future research directions (apply to platform supply chains). Example: “The study found that sales growth is positively associated with turnover efficiency, while firm size has a mixed effect. Environmental context (urban vs. rural) also mattered significantly. However, the research is limited to Norwegian retail chains and does not address platform-based retail. Future studies could extend the framework to digital resale platforms such as GOAT or StockX.”