Knowledge organization (management)

See also Knowledge organization (in Library and Information Science).

A knowledge organization is a management idea, describing an organization in which people use systems and processes to generate, transform, manage, use, and transfer knowledge-based products and services to achieve organizational goals.

Overview

From a functional perspective, in a knowledge organization, content (objects, data, information, knowledge, and wisdom) are generated by knowledge workers. Content is captured, organized, and preserved to enable its reuse and leveraging by people and groups other than those who generated it. Infrastructure is in place to enable sharing of content across all elements of an organization and with external partners, as appropriate. Procedures are in place to integrate content from multiple sources and mobilize it to achieve organizational goals and objectives. A learning culture promotes not only individual learning but also results in a shared understanding. Finally, the organization embraces continuous evolutionary change to sustain itself in a constantly changing environment.

Simard et al. (2007) [1] described five functions of a knowledge-service organization:

  1. generate content
  2. transform content into useful products and services
  3. preserve and manage content to enable organizational use and external transfer
  4. use content to achieve organizational goals, and
  5. transfer content externally, in the form of products and services.

Functions 1, 3, and 5 are essential and cannot be bypassed.

A knowledge organization also links past, present, and future by capturing and preserving knowledge in the past, sharing and mobilizing knowledge today, and knowledge organizations can be viewed from a number of perspectives: their general nature, networks, behavior, human dimensions, communications, intelligence, functions and services.

History

In the 1970s Peter Drucker (1974) may have been the first to describe knowledge workers and knowledge work.

Knowledge is created and used by people. Strassman (1985) described the transformation of work in the electronic age from the standpoint of education and training for managers and employees, human aspects of the working environment, and issues of morale, motivation, privacy, and displacements.

In 1990 Charles M. Savage observed that the nature of an organization based on knowledge rather than industrial society notions of land, labor, or capital was not well understood. [2] Mcgee and Prusak (1993) noted that core competencies are not what an organization owns, but rather what it knows.[3]

Bartlett (1999)[4] indicates that empowerment is not possible in an autocratic organization, that networks cannot be sustained in fixed hierarchical structure, and that learning is not possible in an environment constrained by rigid policies and procedures.

Davenport (1997) used an information ecology approach, in which he explored the use and abuse of information in the context of infighting, resource hoarding, and political battles as well as appropriate management in such a context.

Simard (2000)[5] states that knowledge is inextricably linked to organizational mandates. Some providers strive for objectivity, others selectively disseminate information and knowledge, while still others use information to further their agenda. Users must understand that information is not innocent, and that all information is not created equal.

Knowledge organization topics

Network dimension

Knowledge organizations have a network dimension. Davis (1977)[6] states that networks would not replace hierarchies, but that the two would coexist within a broader organizational concept.

Similarly, Amidon (1997)[7] points out that traditional industrial-era hierarchies are neither flexible nor fluid enough to mobilize an organization's intellectual capacity and that much less constrained networked organizational forms are needed for modern decision making.

Tapscott (1998)[8] notes that there is an underlying logic and order to the emerging digital organizational form. It is networked, involves multiple enterprises, is based on core competencies, and knowledge is actively created, exchanged, and used.

Behavioral approach

There is also a behavioral approach. Bartlett (1999)[9] indicates that organizational structure is just a skeleton. Knowledge organizations also have a physiology in the form of the flow of information and knowledge, as life-blood. They also have a psychology represented by people's values and how they act as individuals and collectively.

Collective intelligence

Knowledge organizations also have collective intelligence. Liautaut (2001)[9] points out that in the knowledge economy, being an intelligent business is not only a prerequisite to winning, but even to compete in the first place. In a fluid, fast-paced knowledge market, companies that can find and exploit the slightest advantage for faster, better decision making will dominate. He also indicates that the greater the exchange of data and information across an organization, the more intelligent it will be.

Organizational knowledge

The knowledge in organizations is more complicated. Except from formal and informal documents, Davenport & Prusak’s (1998) also introduced routines, processes, practices and norms. It may therefore be clear that organizational knowledge is much more than a sum of all the individual knowledge (see Bhatt, 2000a). In a survey conducted by Cranfield University (1998) it became clear that most of the knowledge an organization needs, already exists in the organization, but that finding and identifying it were the problems (see also Hinds &Pfeffer, 2001). This has several explanations.

"As expertise increases, mental representations become more abstract and simplified"

Formal and informal knowledge sharing

All this theory is based on formal structures in an organization. Organizations all also exist out informal ties and networks. This complicates organizational goals of formal knowledge sharing. A company will lose track of who has what knowledge because of the informal networks. This does not mean that informal networks are negative, just on the contrary, informal networks can create ties and surroundings which are necessary for knowledge sharing (see Brown & Deguid, 2001). Informal networks have received different names in the literature such as sensemaking (Weick, 1979), communities of practice (Brown & Deguid 1998) and communities of knowing (Boland &Tenkasi, 1995), Nikolai Groups (Nikolaivitch 1956). As Pan & Leidner (2003) argue in their paper, communities of practice exist because functional boundaries do not fit the community boundaries. They state (pp 73): “facilitate an environment of 'structured informality' supported by knowledge, people, organizational processes and infrastructure.”

The implication and unfortunately also the complication of informal networks is that an organization loose the general view of the knowledge in the organization. As showed by Cross et al. (2001) an informal structure significantly differs of the formal one. To effectively maximize the potential the authors argue that it is necessary to analyze both structures. They introduce the so-called Social Network analysis which systematically assesses informal networks. The result is that knowledge consequently can be collected from formal and informal networks to create a socio-knowledge matrix in organizations.

See also

References

  1. ↑ Simard, Albert, John Broome, Malcolm Drury, Brian Haddon, Bob O'Neil, and Dave Pasho. (2007). Understanding Knowledge Services at Natural Resources Canada. Natural Resources Canada, Office of the Chief Scientist, Ottawa, ON.
  2. ↑ Savage, Charles M. (1990). 5th Generation Management. Digital Press. p. 88
  3. ↑ McGee, James and Laurence Prusak. (1993). Managing information Strategically. John Wiley & Sons. p. 42.
  4. ↑ Bartlett, Christopher A. (1999). The Knowledge-Based Organization, in: The Knowledge Advantage (Ruggles), p. 111
  5. ↑ Simard, Albert. (2000). Managing Knowledge at the Canadian Forest Service. Natural Resources Canada. p. 21.
  6. ↑ Davis, Stanley M. (1977). Future Perfect, p. 89.
  7. ↑ Amidon, Debra M. 1997. Innovation Strategy for the Knowledge Economy. Butterworth-Heinemann. p. 18.
  8. ↑ Tapscott, Don. (1998). Blueprint to the Digital Economy. McGraw-Hill.
  9. ↑ Liautaut, Bernard. (2001). E-Business Intelligence. McGraw-Hill. p. 4, 13
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