Journal of Production, Operations Management and Economics

Understanding the drivers of marker efficiency for improved fabric utilization in apparel production: an analytical approach

2026-01-30T10:19:41+00:00

Purpose: This study aims to investigate and identify the critical factors that exert a statistically significant influence on marker efficiency, with the ultimate goal of optimizing fabric utilization and minimizing material wastage in readymade garment (RMG) production.

Methods: A quantitative research approach was utilized, analyzing primary data from 56 woven markers collected across three factories. The analysis employed Pearson Correlation Coefficients for relationship assessment, one-tailed hypothesis testing to confirm directional impact, and Multiple Linear Regression (MLR) followed by an ANOVA Test to assess the collective predictive power of the independent variables.

Results: The MLR model predicting Marker Efficiency was statistically significant Prob (F-statistic = 0.000), explaining 32.72% (R2) of the variance. The Hypothesis Testing confirmed a statistically significant positive impact from Marker Length (r =0.4901), the strongest correlation). Marker Pieces (r = 0.3536). Functional Area (r = 0.3515). In contrast, Marker Width was found to have no statistically significant linear relationship (p = 0.1861). An almost perfect positive correlation was observed between Marker Efficiency and Fabric Utilization (r=0.9985).

Analyzing supply chain integration & its performance metrics to enhance productivity case industry: five food complex industries around

2026-03-26T10:25:10+00:00

Synchronizing supply chain integrations’ (SCIs) activities across its functional departments is the most significant to be competitive. In this research, SCI & its performance were examined through addressing problems, including inadequate coordination and poor resource interflows, in the cause firms’ comprehensive evaluation of efficiencies. The summaries of the literature revealed gaps as excessive reliance on the SCOR-Model and limited deployments of the best management tools. This study integrated the SCOR model with Managerial Levers Achievement Coordination to close these gaps. Having the conceptualized research framework of this study, using MS-Excel & IBM 24 SPSS, primary and secondary data from case firms were examined. Internal operational integrations (19.9%, 52.6, 21.4 %), SC information coordination (16.5%, 51.4%, 26.6%), are considered as factors of SCIs that influence outcome. Response time (21.4%, 50.0%, 22.9%), quality perspective (19.7%, 36.6%, 38.1%) was low, medium, and high. Also, the impacts of one variable on others have been studied by regression and correlation matrix analysis. Unnecessary expenses were investigated as 29%, 18%, 43%, 11% preventive, appraisal, internal, and external failure, while downtime exceeded 19.9%. Then, a possible solution was proposed, a conclusion derived, and further research areas indicated.

Business analytics in managerial decision-making in emerging economies: evidence from pakistan

2026-05-25T10:16:39+00:00

Firms in emerging economies are increasingly investing in business analytics (BA) capabilities to strengthen their decision-making processes and move toward more evidence-based organizational governance. This study employed a qualitative research design using semi-structured interviews to gather in-depth perceptions from 15 top managers employed in large Pakistani firms. The findings reveal that top managers in Pakistan primarily rely on BA output to monitor business performance against established targets and to guide short-term corrective measures. For more complex, future-oriented strategic decisions, top managers supplement BA-derived knowledge with non-analytical knowledge sources, including stakeholder consultations, industry expert opinions, and contextual judgments shaped by local market dynamics. This study contributes to the emerging literature on business analytics value in developing economies by documenting the purposes and rationales underlying top management ’sBA use in Pakistan.