Beyond Knowledge Management

2011 ◽  
pp. 396-411
Author(s):  
Audrey Grace ◽  
Tom Butler

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.

Author(s):  
Audrey Grace ◽  
Tom Butler

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.


Author(s):  
Miguel-Angel Sicilia

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.


Author(s):  
Kostas Ergazakis ◽  
Kostas Metaxiotis ◽  
Emmanouil Ergazakis

Nowadays, knowledge is considered as one of the most valuable assets of an enterprise which has to be managed efficiently and effectively in order to gain a competitive advantage in the knowledge economy era. Knowledge Management (KM) evolved into a strategic management approach, finding application not only in the business world but also in other areas such as education, government and healthcare. In this way, the new link between KM and KBD created the appropriate environment for the advent of a new concept in the scientific and practitioners’ communities, the concept of “Knowledge City” (KC). Nowadays, the theme of KCs is a ‘hot’ topic of interest and discussion. The process for developing a KC, is neither quick nor simple. This seems to be already understood by the research community, which the last few hears has begun to concentrate its efforts so as to develop appropriate frameworks, methodologies, tools, systems, etc so as to support the development of KCs. In this context, and given that there are still many pending issues, this article attempts to propose a taxonomy of KC research, by co instantaneously presenting the status with these major themes of KC research. The discussion presented on this article should be of value to researchers and practitioners.


Author(s):  
Marcello Chedid ◽  
Leonor Teixeira

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.


Author(s):  
Daniel L. Davenport ◽  
Clyde W. Hosapple

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.


Author(s):  
Juha Kettunen

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.


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