A Knowledge Management Approach to the Loosely Coupled Systems

A Knowledge Management Approach to the Loosely Coupled Systems

Jernej Agrez (Faculty of Information Studies, Univerzitetni proctor Novo mesto, Novo Mesto, Slovenia) and Nadja Damij (Faculty of Information Studies, Univerzitetni proctor Novo mesto, Novo Mesto, Slovenia)
Copyright: © 2016 |Pages: 16
DOI: 10.4018/IRMJ.2016010105
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The purpose of the research is to explore characteristics and design the concept of the knowledge management system that would be able to operate in a loosely coupled system. We used a literature review to determine characteristics of the conceptual design that would fit into the unstable organizational environment. Based on the theoretical insights, we designed the open framework that is capable of adjustments, multilevel designing, it allows integration of statistical methods and supports conversion into the web ontology language. We applied developed concept to a loosely coupled system test case, to achieve better understanding of its capabilities. The solution is appropriate for implementation to analyze knowledge network and process architecture relations in different informal organizational networks, as well as during events where spontaneous cooperation among different types of organizations and individuals is necessary, such as massive natural disasters and other simila events.
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1. Introduction

Knowledge is regarded as the critical source to ensure sustainable competitive advantage for an organization (Jasimuddin, Connell, & Klein, 2012; Zhang & Jasimuddin, 2008; Jasimuddin, 2006; Jasimuddin, Connell, & Klein, 2005). Knowledge oriented processes within unstable organizational environments are challenging research problem, according to changes of the organizational system. Even tough fields like process management, knowledge management and loosely coupled systems had been already studied in details, practical formulations of these three fields together, has not been studied for the full extend. In this paper, we present the theoretical concept of process based characteristics of a loosely coupled system and develop the conceptual knowledge management solution for such system with the ability to analyze knowledge network evolution, process patterns and map system elements and ongoing dynamic. With the conceptual solution, we try to form a knowledge management framework that would be capable to operate within unstable organizational environments where processes are facing constant change, creating knowledge evolution that is hard to follow, record and assess. It is important to create an ability to the methodological approach towards knowledge managements within a loosely coupled system, due to the fact that a great number of such systems operate constantly as a creative part of our social environment, example: informal youth initiatives, financed by EC grants, local networking of non government organizations, cooperation among small farmers, etc. At the same time, loosely coupled systems emerge during threatening situations such as war conflicts, massive natural disasters, even smaller accidents where cooperation of many different organizations and individuals is necessary to achieve desired results.

The authors describe relations between process architecture and organizational system`s success as very important factor that can be elaborated to the level of a single activity, entity, knowledge node or link among these elements. At the same time they claim, the less tight organizational behavior encourages learning processes within an organization that influences more optimal operation of the organizational system. Researchers found that organizational learning is subjected to the change that is resulting out of systems` change that appears through its process architecture, activity flows, information flows, business logic, etc. According to the state of the art, knowledge management approach to the loosely coupled system should enable enough openness to allow learners to be self-initiative and to participate within knowledge related processes in the system. Only the openness will successfully meet the uncertainty concerning the changing structure of a knowledge network, its content and at the same time deliver proper feedback about the state of the network. To be able to record the entire dynamic that we can reach through the open knowledge management system authors claim the implementation of the knowledge map is one of the best possible solutions.

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