By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering change (EC) process. Here, failing to adhere to planned...

Purpose - This study aims to examine process improvement strategy (PIS) (proxied by remote work, workforce training, and technological innovation), and employee productivity amid the COVID-19 pandemic among bank employees. Design/methodology/approach - The study employed cross-sectional and...

This study investigates the transformation of e-commerce warehouse operations by integrating Lean Six Sigma tools to enhance efficiency and sustainability. Beginning with Value Stream Mapping (VSM) to identify inefficiencies, followed by a Hoshin Kanri plan to align improvement initiatives with...

Purpose: This research examines the effects of collaboration with external firms on innovation performance, with a specific focus on the mediating influence of business process innovation. The objective is to explore how external collaborations contribute to improving innovation performance by...

Purpose: This study examines the impact of Industry 4.0, blockchain adoption, and sustainability on operational excellence within the Thai finance sector. Key variables include relative advantage, top management support, openness to use innovation, blockchain technology adoption, industry 4.0...

Der Diskussionsbeitrag zur vernetzten Produktion in kleinen und mittleren Unternehmen (KMU) identifiziert die aktuellen Herausforderungen, Bedarfe und Perspektiven im Kontext der Digitalisierung von Produktionsprozessen und zeigt praxisnahe Lösungsansätze auf. Die Ergebnisse der...