Knowledge Management

(1991). Soft Systems Methodology in Action. European Journal of Information Systems: Vol. 1, No. 3, pp. 215-216.

https://link.springer.com/content/pdf/10.1057%2Fejis.1991.37.pdf

Soft Systems Methodology in Action

Software engineering is knowledge-intensive work, and how to manage software engineering knowledge has received much attention. This systematic review identifies empirical studies of knowledge management initiatives in software engineering, and discusses the concepts studied, the major findings, and the research methods used. Seven hundred and sixty-two articles were identified, of which 68 were studies in an industry context. Of these, 29 were empirical studies and 39 reports of lessons learned. More than half of the empirical studies were case studies. The majority of empirical studies relate to technocratic and behavioural aspects of knowledge management, while there are few studies relating to economic, spatial and cartographic approaches. A finding reported across multiple papers was the need to not focus exclusively on explicit knowledge, but also consider tacit knowledge. We also describe implications for research and for practice.

/pdf/knowledge-management-in-software-engineering-a-systematic-3o0q931t6y.pdf

Knowledge management in software engineering: A systematic review of studied concepts, findings and research methods used

A city is not a tree

This article provides valuable information on the chances and the possibilities of Business Intelligence applying in organizations. Three theories—the Resource-Based View, Maturity Models, and Critical Success Factors—were used to investigate Business Intelligence issues. They provided a comprehensive view on Business Intelligence. Using a semi-structured interview method, the results from 20 organizations applying Business Intelligence are presented. Finally, based on the analysis of the literature and on the qualitative surveys, conclusions for future research in Business Intelligence are provided.

Toward Better Understanding and Use of Business Intelligence in Organizations

Knowledge management is an emerging, evolving field at the confluence of several management disciplines. A critical function for all organizations is to make rapid decisions. To do this effectively decision makers require relevant data and information. Yet, most decision makers are floundering with information overload, time compression and pressures to make critical decisions that have far-reaching consequences to their organization. Knowledge-Based Enterprise: Theories and Fundamentals provides a comprehensive coverage of all areas (people, process, and technology) necessary to become a knowledge-based enterprise. The book presents several frameworks that not only facilitate the implementation of a KM initiative but its on-going management so that pertinent knowledge and information are always available to the decision maker, and that the organization may always enjoy a sustainable competitive advantage.

Knowledge-Based Enterprise: Theories and Fundamentals

Worldwide costs and the disparity between healthcare in the Western world and the developing countries increase exponentially. Increased involvement of ICT allows, in similarity to the military, a transition from platformcentric to more cohesive and collaborative networkcentric operations. In the information-intensive environment of healthcare, the networkcentric approach allows free and rapid sharing of information and effective knowledge building required for the development of coherent objectives and their rapid attainment. We suggest that the application of the proposed networkcentric doctrine is arguably the best chance of changing the way healthcare is accessed, provided and managed both nationally and across the globe.

Healthcare and technology: the doctrine of networkcentric healthcare.

Today's dynamic business environment requires germane knowledge to ensure that organisations are prepared for the future and ready to meet sudden challenges. At present, knowledge creation techniques tend to focus on either human or technology aspects of organisational development. However, the complexity of a global business environment necessitates transformational rather than linear development of knowledge that is centred on a broad-based (holistic) knowledge creation approach. The paper discusses the concept of knowledge creation that underscores the significance of nonlinear, interdomain thinking based on fast extraction and processing of information derived from a rapidly changing operational environment.

Creating germane knowledge in dynamic environments

Effective leadership requires the combination of highly developed cognitive skills, a broad-base of knowledge and the prudent application of both to a given situation. In unstable and unpredictable environments, leaders are forced to be decisive, making decisions that have far-reaching consequences. However, they neither have the luxury of time nor complete information to facilitate rapid decision-making. This paper discusses how it is possible for a leader to be both prepared and ready for operating in complex environments with success through the application of Boyd's OODA loop and consequent OODA thinking.

Dynamic leadership in unstable and unpredictable environments

Bioinformatics is a rapidly developing field of quantitative biomedical research with the potential to transform the three principle domains within healthcare operations of research, clinical practice and administration. Presently, a significant part of bioinformatics research concentrates on genomics and proteomics. Despite growing clinical enthusiasm for the discoveries and creation of new information and knowledge that such research brings, current results are still outside the daily clinical reality. As a measure to close the gap and integrate bioinformatics into the rest of the healthcare domains, the authors propose a networkcentric approach. Based on operations within the unified space created by the overlap of three domains of knowledge, networkcentric healthcare operations support free information flow among all constituents (actors) within the healthcare space, rapid generation and exchange of pertinent knowledge, as well as enhanced awareness of the significance and practical implementation of new discoveries within specialized fields of biomedicine (e.g. bioinformatics). Healthcare networkcentricity will also facilitate conversion of information into readily accessible knowledge, accelerate translation of that knowledge into clinical practice, and reduce the stress of information overload. Changes in the use of Information/Computer/Communication Technologies (IC^2T) and enhanced efficiency of Decision/Executive Support Systems (DSS/ESS) are pivotal to the success of the networkcentric approach as discussed in the paper.

Dag Von Lubitz

Papers

Knowledge-Based Enterprise: Theories and Fundamentals

Healthcare and technology: the doctrine of networkcentric healthcare.

Creating germane knowledge in dynamic environments

Dynamic leadership in unstable and unpredictable environments

Networkcentric healthcare and bioinformatics: Unified operations within three domains of knowledge