Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain

Thu, 01 Jan 2026 00:00:00 +0000

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.

Creating Business Value through IoT-Based Waste Management Web Dashboard

Mon, 05 Jan 2026 00:00:00 +0000

The rapid growth of urbanization and industrial activities has increased the complexity of waste management operations within business organizations, leading to rising costs and managerial challenges. While the Internet of Things (IoT) has enabled real-time data collection in waste management, business value creation depends on how such data are integrated into managerial information systems. This study aims to develop and evaluate an IoT-based waste management web dashboard that supports operational monitoring and managerial decision-making to create business value. Using a Design Science Research (DSR) methodology, this study designs an integrated system that collects real-time waste volume data through IoT-enabled sensors and presents the information via a centralized web dashboard. The system is evaluated using a mixed approach combining operational performance indicators and user perceptions based on Information Systems Success Theory. The results indicate improvements in operational efficiency, resource allocation, and decision-making quality following system implementation. The findings demonstrate that the proposed web dashboard functions as a strategic managerial information system rather than a purely technical solution. By enhancing information quality and managerial control, the system contributes to business value creation through improved operational performance and supports digital transformation and sustainability-oriented business practices. This study contributes to the business and management literature by shifting the focus of IoT-based waste management research from technical performance to managerial relevance and value creation.

Luxury: Landscape of Business Administration

Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain

Creating Business Value through IoT-Based Waste Management Web Dashboard