Nowadays, more and more enterprises are using Enterprise Resource Planning (EPR) systems that can also be used to plan and control the development of new products. In order to obtain a project schedule, certain parameters (e.g. duration) have to be specified in an ERP system. These parameters...

Background From the last decade, data mining techniques, employed in particular in customer relationship management, have assumed a key role in the profitability and operations of companies. To support small and medium companies (SMEs), several innovative and continuously improving tools have...

The wear state of the punch in sheet-metal stamping processes cannot be directly observed, necessitating the use of indirect methods to infer its condition. Past research approaches utilized a plethora of machine learning models to infer the punch wear state from suitable process signals, but...

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Recent literature shows that adopting an accounting information system (AIS) can lead to better decision-making, planning, efficiency and on-time management control, and organisational functionality. However, the impact of AIS implementation on role creation in the organisation is unclear. With...

Hotel rankings exert great influence on tourists when choosing a hotel. The hoteliers also strive to appear at the top of the ranking. However, the evolution over time of these rankings has been little studied, so it is necessary due to the important implications for entrepreneurs to deepen the...

Purpose - This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method. Design/methodology/approach - In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11...

The objective of the article is to introduce to the topic of Student Relationship Management (SRM) in Germany. The concept has been derived from the idea of a Customer Relationship Management (CRM), which has already been successfully implemented in many enterprises. Its objective is to canvass...

The Observatorio de Costes y Financiación del Transporte Urbano Colectivo (Cost and Funding of Urban Transport Watchdog) and its annual reports on this industry provide an excellent platform to improve awareness of its cost structure, to enable benchmarking strategies/practices for companies,...