In the constantly changing landscape of corporate sustainability, navigating the complex network of ESG reporting standards and frameworks has become a significant challenge for businesses worldwide. This research seeks to improve understanding of ESG reporting and shed light on the complexities of the …

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This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT). The proposed model is compared to five alternative models, of which two incorporate LSTM neural networks and …

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This paper aims to empirically investigate the effects of various components of net working capital on the profitability of European firms in the retail industry. A balanced panel sample of 19 retail companies listed on Euronext was selected over a period of six years, from 2016 to 2021 to assess the …

This paper examines the effect of firm-specific factors on the leverage decision of the Indonesian listed firms in the food industry, which is one of the largest and most important industries in Indonesia. In this study, four firm-specific determinants of the capital structure were analyzed using a multivariate …

Industry 4.0 has placed an emphasis on real-time decision making in the execution of systems, such as semiconductor manufacturing. This article will evaluate a scheduling methodology called Evolutionary Learning Based Simulation Optimization (ELBSO) using data generated by a Manufacturing Execution System …

This paper investigates the impact of sustainable supply chain activities on the profitability amongst 62 Euronext listed firms active in the food industry of nine European countries during 2019-20. We first define sustainability in the supply chain, and then outline KPIs to measure it with a focus on …