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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 …

Over the past year, the governance of supplier finance has risen even higher up the agenda for regulators, rating agencies, auditors, and corporates as its perceived role in the high-profile collapse of several corporates comes under scrutiny. The topic of disclosure has become one of more heated debate …

The Procurement and Supply of hospital isolation gowns (IGs) pose significant challenges, including the potential for sudden increases in demand, the necessity of maintaining high-quality gowns, and the complexity of the supply process. One potential solution to these challenges is the investment in …

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