ABCs of KMTools & methods

Knowledge management approaches that public administrations are actually using (part 1): A framework of KM criteria

Public administration1 encompasses the execution, oversight, and management of government policies and the management of public affairs. It involves the organization, operation, and strategic coordination of bureaucratic structures in the public sector.

Public administration organizations are turning to organizational knowledge management (KM) to a deal with a dynamic and some­times overwhelming knowledge landscape. However, in introducing a new discussion paper2 for Deutsches Forschungsinstitut für öffentliche Verwaltung (National Institute for Public Administration Germany), Stella Hill alerts that:

KM in public administrations remains a concept that often is either abstract, or used as a buzzword, reducing it to isolated practices such as offboarding or document storage. Consequently, it becomes hard to pinpoint when KM is genuinely being implemented.

In response, Hill establishes criteria that can define good practices for holistic KM in public administrations through an examination of case studies from around the world. This provides a framework for effective KM implementation.

Probst and colleagues3 eight building blocks of KM are used as a foundation for the comparative analysis of the case studies. Given significant overlaps, these blocks are then aggregated into five elements of KM, as shown in Figure 1. Hill advises that the reason for using Probst and colleagues’ building blocks is that other popular theoretical work focuses on subprocesses of KM or on the knowledge resource, whereas Probst and colleagues consider KM as a holistic concept.

Five elements of KM based on Probst and colleagues' eight building blocks.
Five elements of KM based on Probst and colleagues’ eight building blocks (source: Hill, 2025).

The case studies come from two sources. Firstly, a systematic literature review4 of KM case studies in academic journals, as shown in Table 1. These sources are scientifically val­idated, but may hold administrations to difficult standards given budgetary and time con­straints, and can suffer from bias in samples and other variables. Secondly, Google was employed to find information on KM initiatives in OECD countries’ bureaucracies, which contributed a further 36 cases studies across 18 countries and regions, in addition to those listed in Table 1. Such sources are often self-descriptions or concept papers, so can suffer from desirability bias as administrations aim to portray themselves favourably.

Table 1. Distribution of KM cases in public organisations in sampled scientific papers by region and country
(source: Hill, 2025).

Region Frequency Percentage Countries
Africa 4 4.08 South Africa (2), Ghana (1), Nigeria (1)
Asia 27 27.55 Malaysia (6), India (5), Indonesia (4), Singapore (4), Hong Kong (3), Pakistan (2), China excl. HK & Taiwan (1), South Korea (1), Taiwan (1)
Australia 7 7.14 Australia (7)
Europe 30 30.61 UK (6), Finland (3), Germany (3), Greece (2), Norway (2), Portugal (2), Spain (2), Belgium (1), Czech Republic (1), Denmark (1), France (1), Netherlands (1), Serbia (1), Sweden (1), Turkey (1), Unspecified (2)
Latin America 3 3.06 Brazil (2), Mexico (1)
Middle East 16 16.33 UAE (8), Saudi Arabia (3), Jordan (2), Kuwait (2), Iran (1)
North America 10 10.20 Canada (6), US (2)
International 1 1.02 Unspecified (1)

Hill’s analysis involved six steps:

  1. All the sources were reviewed and any information related to how KM is practised within the case study organisations was highlighted as quotations.
  2. The quotations were grouped under recurring and relevant keywords
  3. The keywords were summarised and condensed into codes which capture the essence of a group of keywords.
  4. Referred to as theme development, this step is where the KM criteria were derived.
  5. The criteria were assigned to the elements of knowledge identification, acquisition, distribution, preservation, and application, as derived from Probst and colleagues’ work.
  6. The KM criteria, grouped under these vari­ous concepts, were integrated into a conceptual model with strong practical relevance.

Framework of KM criteria for public administrations

The results of Hill’s analysis are shown in Table 2, and summaries of the explanations and examples for each criteria will be presented in the upcoming part 2 of this two-part series. Hill advises that public administrations can use this framework of KM criteria as guidance and inspiration, while tailoring their focus on certain criteria to suit their specific needs and constraints.

Hill notes that the especially large number of codes in the “In­formation Management” criterion is likely because, for both administrations and re­searchers, information management is the most tangible aspect of KM. Hardware, soft­ware, and technology are much easier to implement and identify than cultural aspects or long-term strategies. Leadership support was also frequently cited as a key aspect of successful KM. Hill cautions that while the importance of this factor is not disputed, it is worth noting that many researchers interviewed leadership figures, who may have overstated their role due to self-serving bias. Having an individual or a team offi­cially responsible for KM is also common.

Table 2. Deduced criteria and codes, with frequency of individual case examples
(source: Hill, 2025).

Criterion: Self-Reflection
Lessons Learned 7 case studies
Review 12 case studies
Criterion: Knowledge Audit
Expert Locator 9 case studies
Knowledge Audit 18 case studies
Knowledge Mapping 8 case studies
Criterion: Information Management
Business Intelligence 5 case studies
Codification 17 case studies
Database 23 case studies
Document Management 13 case studies
Information Management 6 case studies
Online Search Function 3 case studies
Open Information 9 case studies
Updating 9 case studies
IT Security 8 case studies
IT Solution 39 case studies
IT Support/Help 3 case studies
Metadata 7 case studies
Storytelling 3 case studies
Criterion: On- and Offboarding Strategy
Onboarding Measures 4 case studies
Offboarding Measures 9 case studies
Criterion: Learning Opportunities
External Expertise 18 case studies
Knowledge Sources 3 case studies
Learning by Doing 2 case studies
Mentoring 6 case studies
Qualified Employees 13 case studies
Training 32 case studies
Criterion: Fostering Innovation
Openness to Innovation 7 case studies
R&D 4 case studies
Universities 3 case studies
Criterion: Institutionalisation of KM
Evaluation 16 case studies
Feedback 8 case studies
Financial Resources 12 case studies
Responsibility for KM 32 case studies
KM Strategy 25 case studies
Marketing 10 case studies
Leadership Support 34 case studies
Pilot Studies 10 case studies
Strategic Alignment 22 case studies
Systematic KM 18 case studies
Criterion: Integration in Organisational Structures
Bureaucratic Restrictions 9 case studies
Government Mandate 21 case studies
Integration in Working Routine 8 case studies
System Interoperability 8 case studies
KMS Relevance 9 case studies
KMS Reliability 10 case studies
KMS User-friendliness 13 case studies
Specific Instructions 10 case studies
Multimedia 3 case studies
Criterion: Developing KM Competencies
Best Practices 10 case studies
KM Competencies 19 case studies
Criterion: Fostering Collaboration
Communities of Practice 16 case studies
External Cooperation 13 case studies
Horizontal Working Structures 14 case studies
Informal Socializing 15 case studies
Knowledge Sharing 12 case studies
Social Platform 14 case studies
Social Structure 16 case studies
Socialising Events 11 case studies
Trust 14 case studies
Email 4 case studies
Criterion: Conducive Culture
Attachment 7 case studies
Autonomy 9 case studies
Culture 24 case studies
Employee Involvement 9 case studies
Motivation 8 case studies
Power Considerations 6 case studies
Awards 3 case studies
Incentives 21 case studies

Next part: (part 2): Explanations and examples of KM criteria.

Header image source: RDNE Stock project on Pexels.

References:

  1. Wikipedia, CC BY-SA 4.0.
  2. Hill, S. (2025). What does knowledge management in public administrations look like in practice?: Development of KM criteria on the basis of case study reviews. Deutsches Forschungsinstitut für öffentliche Verwaltung Discussion Paper 93.
  3. Probst, G., Raub, S., & Romhardt, K. (1997). Wissen managen: Wie Unternehmen ihre wertvollste Ressource optimal nutzen.
  4. Boyes, B. (2018, May 18). Using narrative reviews, systematic reviews, and meta-analyses in evidence-based knowledge management (KM). RealKM Magazine.

Bruce Boyes

Bruce Boyes is a knowledge management (KM), environmental management, and education thought leader with more than 40 years of experience. As editor and lead writer of the award-winning RealKM Magazine, he has personally written more than 500 articles and published more than 2,000 articles overall, resulting in more than 2 million reader views. With a demonstrated ability to identify and implement innovative solutions to social and ecological complexity, Bruce has successfully completed more than 40 programs, projects, and initiatives including leading complex major programs. His many other career highlights include: leading the KM community KM and Sustainable Development Goals (SDGs) initiative, using agile approaches to oversee the on time and under budget implementation of an award-winning $77.4 million recovery program for one of Australia's most iconic river systems, leading a knowledge strategy process for Australia’s 56 natural resource management (NRM) regional organisations, pioneering collaborative learning and governance approaches to empower communities to sustainably manage landscapes and catchments in the face of complexity, being one of the first to join a new landmark aviation complexity initiative, initiating and teaching two new knowledge management subjects at Shanxi University in China, and writing numerous notable environmental strategies, reports, and other works. Bruce is currently a PhD candidate in the Knowledge, Technology and Innovation Group at Wageningen University and Research, and holds a Master of Environmental Management with Distinction and a Certificate of Technology (Electronics).

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