مدیریت هوش سازمانی و دانش در سال فرآیند خودنوگری سیستم مدیریتی در به کارگیری آن در صنعت Knowledge management: managing organizational intelligence and knowledge in autopoietic process management systems – ten years into industrial application

1. Background Key to the work presented here was a new understanding to and a new concept for intelligence and knowledge on an organizational level proposed by Thannhuber, Tseng and Bullinger [1] in 2001 and Thannhuber [2] in 2005. Up until this point knowledge management in industrial applications focused on acquiring data and information as well as managing them together with contextualizing meta information in IT Systems and delivering the right information at the right time to individual employees for their decision making or to support their value adding tasks. While these activities undoubtedly deliver their benefits however a new complementary approach was proposed that should better utilize efforts spent in the real world and potentials made available by phenomena that are described by ‘intelligence’, ‘knowledge’ or ‘cognition’. Instead of purely empowering the individual in an industrial organization the focus should be shifted to the organization itself and how its behavior, responsiveness and efficiency can be improved by organizational knowledge and frameworks that breed intelligent behavior. 1.1. Phenomenological discussion of knowledge and intelligence on an organizational level Although knowledge and intelligence are widely discussed for the human domain they are phenomena that evolution brought to emergence for natural systems in general to succeed in the competition to best adapt to their ecological niche and to best exploit the resources within it. Knowledge and intelligence help natural systems to derive successful behavior. Looking closer this ‘successful behavior’ in particular needs to balance three mutual exclusive abilities at highest levels: precision in execution wasting a minimum amount of internal resources while at the same time being able to cope with increasing dynamics in environments that constantly change and being able to cope with an increasing complexity. A situation well known to the engineering domain, too! Constituted out of human beings, cooperating to exploit marked niches, industrial organizations are nothing else but natural systems themselves [2]. Knowledge and Intelligence belong to the fundamental mechanisms to derive successful behavior. In the industrial context an organization’s behavior is derived from coordinated activities its human staff develops by ‘enacting’ organizational processes. It is the sequence of activities, their coordination and interplay that leads to a company’s successful behavior. Intelligence in this context is a framework that enables an organization to derive well-coordinated and effective processes to behave responsive and successful. A framework that is built upon a suitable structure (physical infrastructure, components, … as given by IT systems, the hierarchy of command, process planning departments, etc.) and its organization (defining the interplay of the components as given e.g. by procedures on how to coordinate activities to a process). This processing framework allows an organization to take in stimuli, derive a suitable response process, support its enactment and capture the proceedings and success of the enacted process.