Mehran Nasseri

• University of Applied Sciences Upper Austria

Investigating Service Quality (SQ) and its implications for customer satisfaction.

Literature reviews constitute an indispensable component of research endeavors; however, they often prove laborious and time-intensive. This study explores the potential of ChatGPT, a prominent large-scale language model, to facilitate the literature review process. By contrasting outcomes from a manual literature review with those achieved using C...

In recent years, there has been a growing surge of interest in the application of data analytics (DA) within the realm of supply chain management (SCM), attracting attention from both practitioners and researchers. This paper presents a comprehensive examination of recent implementations of DA in SCM. Employing a systematic literature review (SLR),...

The lack of transparency in outcomes of advanced machine learning solutions, such as deep learning (DL), leads to skepticism among business users about using them. Particularly, when the output is used for critical decision-making or has financial impacts on the business, trust and transparency is crucial. Explainable Artificial Intelligence (XAI)...

The application of data analytics in management has become a crucial success factor for the modern enterprise. To apply analytical models, appropriately prepared data must be available. Preparing this data can be cumbersome, time-consuming, and error prone. In the current era of Artificial Intelligence (AI), Large Language Models (LLMs) like OpenAI...

In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, specifically using extra tree Regressors (ETRs) and long short-term memory (LSTM) networks. Utilizing...

The application of machine learning in predicting regular and ad-hoc maintenance demand has been widely discussed recently. Reliable forecasting of uncontrollable, ad-hoc maintenance can improve resource allocation and spare part supply planning. However, the scope of its application is still limited to manufacturing and fleet management areas. Dev...