How do Six Sigma and modern management approaches shape BPM and drive process change today?

Due to technological advancement, global competition and change in customer expectations in the new millennium, organizations are forced  to continuously improve their business processes. In this context , business process management (BPM) plays a crucial role, it is a discipline that helps plan, monitor, and continuously improve an organization’s processes.

Business Process Management (BPM) is a comprehensive System for managing and transforming organizational operations, based on what is arguably the first set of new ideas about organizational performance since the Industrial Revolution.

(Michael Hammer (2014))

Six Sigma was introduced as a quality management method in the 1990s. It was developed with the aim of reducing errors, increasing the quality of processes, and improving customer satisfaction. It combined characteristics such as Lean and Reengineering to create process changes.

Business process change in the new millennium

The book that best reflected this new approach was called Business Process Management: The Third Wave by Howard Smith and Peter Finger. They proposed that companies combine workflow systems, software applications integration systems, and Internet technologies to create a new type of software application. In essence the new software a Business Process Management System (BPMS) would coordinate the day-to-day activities of both employees and software applications. 

Contemporary Management Development

• AI in HR 
• AI-powered Customer Support
•  AI in System Monitoring 
• AI in Supply Chain Optimization 

Business Process Change in the New Millennium AI-Driven Decision Making:

Modern BPM systems use AI to analyze workflows and suggest process improvements, optimize resource allocation, or even automate decision points within processes.

What Drives Business Process Change? 

AI as a Driver of Change: Organizations are pressured to adopt AI to stay competitive. AI enables faster response to customer needs, better data analysis, improved cost management, and innovative business models