scholarly journals The Economic Consequences of Trust and Distrust in Knowledge-Intensive Organizations

2020 ◽  
Vol 12 (3) ◽  
pp. 28-46
Author(s):  
Andrea Bencsik ◽  
◽  
Maria Jakubik ◽  
Timea Juhasz ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Leadership Style ◽  
Questionnaire Survey ◽  
Economic Consequences ◽  
Management Systems ◽  
Workplace Trust ◽  
The Subject ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Different Cultures

Studies measuring workplace trust in connection with leadership style and leader responsibility have become more and more important in recent years. Interest in the subject has been rising along with the recent introduction of knowledge management systems (KMSs), which has shown to be one of the most important factors of competitiveness. The aim of this research was to examine to what extent leaders of organizations are concerned about the presence of trust and/ or distrust, as well as about the economic consequences of trust and distrust. It also focused on solutions used in KMSs in knowledge-intensive organizations. Based on a model developed by the authors, the significance of a trust-based culture was examined from the viewpoint of economic consequences. Situations were analyzed in which, despite the existence of all knowledgerelated preferences, managers were not concerned about the economic consequences of trust or distrust. To test the system of relations in the model, a questionnaire survey was conducted in two neighboring European countries with different cultures. It has been found out that in most cases, there is a need for the building and/or use of a KMS at a strategic level. Appropriate tools are also used at an operative level (often spontaneously). However, trust as a general cultural prerequisite is often lacking. Businesses do not seem concerned about the consequences of trust and distrust, as related economic impacts are rarely quantified.

Ontology-Based Competency Management

2005 ◽  
pp. 302-324 ◽  
Author(s):  
Miguel-Angel Sicilia
Keyword(s):  
Knowledge Management ◽  
Human Resource ◽  
Knowledge Creation ◽  
Learning Activities ◽  
Complex Process ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Organizational Needs ◽  
Dynamic Cycle ◽  
Competency Management

Learning activities can be considered the final outcome of a complex process inside knowledge intensive organizations. This complex process encompasses a dynamic cycle, a loop in which business or organizational needs trigger the necessity of acquiring or enhancing human resource competencies that are essential to the fulfillment of the organizational objectives. This continuous evolution of organizational knowledge requires the management of records of available and required competencies, and the automation of such competency handling thus becomes a key issue for the effective functioning of knowledge management activities. This chapter describes the use of ontologies as the enabling semantic infrastructure of competency management, describing the main aspects and scenarios of the knowledge creation cycle from the perspective of its connection with competency definitions.

Stages of Information Systems in E-Government for Knowledge Management

2011 ◽  
pp. 270-280
Author(s):  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Police Officers ◽  
Growth Models ◽  
Knowledge Work ◽  
Management Systems ◽  
Financial Crime ◽  
Knowledge Management Systems ◽  
Knowledge Intensive ◽  
Direction Information

A stage model for knowledge management systems in policing financial crime is developed in this chapter. Stages of growth models enable identification of organizational maturity and direction. Information technology to support knowledge work of police officers is improving. For example, new information systems supporting police investigations are evolving. Police investigation is an information-rich and knowledge-intensive practice. Its success depends on turning information into evidence. This chapter presents an organizing framework for knowledge management systems in policing financial crime. Future case studies will empirically have to illustrate and validate the stage hypothesis developed in this paper.

Knowledge Management in University-Software Industry Collaboration

2021 ◽  
pp. 114-130
Author(s):  
Marcello Chedid ◽  
Leonor Teixeira
Keyword(s):  
Knowledge Management ◽  
Software Industry ◽  
Technological Development ◽  
Critical Discussion ◽  
Future Research ◽  
Industry Collaboration ◽  
Future Research Directions ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
The University

The university-software industry collaboration relationship has been represented a key resource, to the extent that together they can more easily promote technological development that underpins innovation solutions. Through a literature review, this chapter aims to explore the concepts and the facilitator or inhibitor factors associated with the collaboration relationships between university and software industry, taking knowledge management into account. This chapter is organized as follows. In the first section, the authors briefly introduce university, software industry, and knowledge management. The following section, based on the literature reviewed, provides a critical discussion of the university-software industry collaboration relationship, knowledge management in knowledge intensive organizations or community, and knowledge management in collaboration relationship between these two types of industries. Finally, in the rest of the sections, the authors point to future research directions and conclude.

Knowledge Organizations

2011 ◽  
pp. 451-458 ◽  
Author(s):  
Daniel L. Davenport ◽  
Clyde W. Hosapple
Keyword(s):  
Knowledge Management ◽  
World Bank ◽  
Knowledge Based ◽  
Complementary Approach ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Knowledge Organizations

An important endeavor within the field of knowledge management (KM) is to better understand the nature of knowledge organizations. These are variously called knowledge-based organizations, knowledge-centric organizations, knowledge-intensive organizations, knowledge-oriented organizations, and so forth. One approach to doing so is to study the characteristics of specific organizations of this type such as Chaparral Steel (Leonard-Barton, 1995), Buckman Labs, World Bank, or HP Consulting (O’Dell, 2003). A complementary approach is to study various frameworks that have been advanced for systematically characterizing the elements, processes, and relationships that are found in knowledge organizations. Here, we examine three such frameworks that are representative of the variety in perspectives that have been advocated for understanding the nature of knowledge organizations. These frameworks share a view that sees knowledge as a key organizational asset that enables action. However, they differ in emphases (e.g., asset vs. action) and constructs.

Construction of Knowledge-Intensive organizations in Higher Education

2009 ◽  
pp. 19-29 ◽  
Author(s):  
Juha Kettunen
Keyword(s):  
Higher Education ◽  
Knowledge Management ◽  
Its Region ◽  
Development Projects ◽  
Knowledge And Skills ◽  
Construction Of Knowledge ◽  
External Impact ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Innovation Knowledge

The aims of knowledge management are to create knowledge and stimulate innovation. Knowledge management allows the knowledge of an organization to be located, shared, formalized, enhanced and developed. The challenges of knowledge management lie in creating environments that support knowledge sharing, knowledge creation, and innovativeness. This chapter examines challenges faced by Higher education institutions (HEI) in producing innovations and increasing their external impact on their regions. The most valuable assets of HEIs are the knowledge and skills embodied in human capital. The challenges of innovative HEIs can be derived from their customers’ needs, which usually cannot be met within a single discipline. This chapter explores the multidisciplinary development projects at HEIs and presents implications for the organizational structure supporting innovation and engagement of the institution with its region.

Intelligent Search for Experts Using Fuzzy Abstraction Hierarchy in Knowledge Management Systems

2009 ◽  
pp. 755-777
Author(s):  
Kun-Woo Yang ◽  
Soon-Young Huh
Keyword(s):  
Knowledge Management ◽  
Text Categorization ◽  
Explicit Knowledge ◽  
Science And Technology ◽  
Management Systems ◽  
Prototype System ◽  
Knowledge Management Systems ◽  
Subject Field ◽  
Intelligent Search ◽  
The Subject

In knowledge management systems (KMS), managing explicit knowledge is comparatively easy using information technology such as databases. However, tacit knowledge, usually possessed by human experts in unstructured forms such as know-how and experiences, is hard to systemize. Recent research has shown that it is more effective to provide search mechanisms for experts than to directly search for specific knowledge itself in KMS to pinpoint experts with needed knowledge in the organizations so that users can acquire the knowledge from the found experts. In this article, we propose an intelligent search framework to provide search capabilities for experts who not only match search conditions exactly but also belong to the similar or related subject fields according to the user’s needs. In enabling intelligent searches for experts, the Fuzzy Abstraction Hierarchy (FAH) framework has been adopted. Based on FAH, searching for experts with similar or related expertise is facilitated using the subject field hierarchy defined in the system. While adopting FAH, a text categorization approach based on Vector Space Model is also utilized to overcome the limitation of the original FAH framework. To test applicability and practicality of the proposed framework, the prototype system, “Knowledge Portal for Researchers in Science and Technology” sponsored by the Ministry of Science and Technology (MOST) of Korea, has been developed.

Beyond Knowledge Management

2011 ◽  
pp. 396-411
Author(s):  
Audrey Grace ◽  
Tom Butler
Keyword(s):  
Knowledge Management ◽  
Knowledge Economy ◽  
Success Factors ◽  
Learning Management Systems ◽  
Management Approach ◽  
Approach To Learning ◽  
Key Success Factors ◽  
World Class ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive

In the knowledge economy, a firm’s intellectual capital represents the only sustainable source of competitive advantage; accordingly, the ability to learn, and to manage the learning process are key success factors for firms. The knowledge management approach to learning in organizations has achieved limited success, primarily because it has focused on knowledge as a resource rather than on learning as a people process. Many world-class organizations, such as Procter & Gamble, Cisco Systems and Deloitte Consulting, are now employing a new breed of systems known as Learning Management Systems (LMS) to foster and manage learning within their organizations1. This article reports on the deployment of an LMS by a major US multinational, CEM Corporation, and proposes a framework for understanding learning in organizations, which highlights the roles that LMS can play in today’s knowledge-intensive organizations.

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