In the 1990s, business process reengineering was all the rage: Companies used budding technologies such as enterprise resource planning (ERP) systems and the internet to enact radical changes to broad, end-to-end business processes. Buoyed by reengineering’s academic and consulting proponents, companies anticipated transformative changes to broad processes like order-to-cash and conception to commercialization of new products.
But while technology did bring major updates, implementations often failed to live up to the sky-high expectations. For example, large-scale ERP systems like SAP or Oracle provided a useful IT backbone to exchange data, yet also created very rigid processes that were hard to change past the IT implementation. Since then, process management typically involved only incremental change to local processes — Lean and Six Sigma for repetitive processes, and Agile Lean Startup methods for development — all without any assistance from technology.
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Haissam Badih PhD, is the Researcher and Professor at the Department of Math and Computer Science at the Lawrence Technological University, Southfield, Michigan, USA. He earned His B.S. degree in Computer Science from the University of Windsor at Ontario Canada, his M.S. Degree from Lawrence Technological University, and a Ph.D. in Computer Science and Informatics from Oakland University in 2020. He will begin his academic career at Lawrence Technological University in 2021. He has worked in various software companies in software engineering and architecture.He authored numerous journal and conference papers that were peer-reviewed. His current research and development interests and activities in Project DIAMOnD for Automation Alley in blockchain for building a 3D printer marketplace for the supply chain to support all kinds of business, including 4.0 Industry. This work on blockchain for autonomous systems design, sensor fusion, intelligent agents, automation, human/machine interaction, robotic programming, and interfacing/coding. His research dissertation, entitled "Advance and specialize our application of blockchain for webcam/microphone access control" and "Add Blockchain in A.I. for communication," has worked within research on the Blockchain and Decoy deception research project. He worked on blockchain and decoy deception using smart contracts. This project utilized a Blockchain application that enforces limited access to webcam and microphone devices. We utilize Blockchain's Smart Contract to form a contract between the user's computer and another party connected via a network.
