Every organisation runs on knowledge. The trouble is that most of this knowledge lives inside people’s heads, scattered across emails, stored in old reports, or locked away in systems nobody remembers how to use. When an experienced employee retires or quits, a huge chunk of hard-won expertise can simply walk out the door. This is exactly the problem that knowledge professionals and knowledge management set out to solve. Together, they help organisations capture what they know, share it widely, and turn it into a lasting competitive advantage.

Table of Contents

What knowledge management really means

Knowledge management is the structured process of creating, capturing, organising, sharing, and applying knowledge within an organisation. It is not the same as data management or simple document storage. The goal is to make sure the right knowledge reaches the right person at the right time so that decisions improve and work does not get repeated unnecessarily.

To understand this field, you first need to understand the two basic types of knowledge it deals with.

Tacit and explicit knowledge

Explicit knowledge is the kind that can be written down, codified, and easily shared. Manuals, databases, reports, and policy documents all hold explicit knowledge. Tacit knowledge is far harder to pin down. It lives in personal experience, intuition, and skill, and it is difficult to put into words. A senior cataloguer who instantly knows how to classify an unusual document is using tacit knowledge built over years.

The famous SECI model developed by Ikujiro Nonaka and Hirotaka Takeuchi explains how organisations convert knowledge between these two forms through four continuous modes: Socialisation, Externalisation, Combination, and Internalisation. Socialisation passes tacit knowledge from person to person through observation and practice. Externalisation turns tacit knowledge into explicit form, such as writing down a procedure. Combination merges different pieces of explicit knowledge into something new. Internalisation happens when explicit knowledge is absorbed back into an individual’s tacit understanding through learning and reflection. This conversion works as a spiral, repeating and expanding as knowledge moves across individuals, teams, and the whole organisation.

The role of knowledge managers

A knowledge manager is the person responsible for making all of this happen in practice. The role involves capturing both tacit and explicit knowledge, building structured knowledge bases, and creating the conditions for people to share what they know. In short, knowledge managers combine technical expertise, communication skills, and strategic vision to put effective knowledge practices in place that match the organisation’s goals.

Why does this matter so much? Because in a knowledge economy, information and intellectual capital are among the most important drivers of competitiveness. When knowledge flows freely, employees work faster, make better decisions, and avoid reinventing solutions that already exist somewhere in the organisation. When knowledge gets stuck, the opposite happens. Information ends up siloed in separate departments, and employees waste time hunting for resources or repeating mistakes others have already solved.

Consider what happens without this role. A new employee in customer support may spend weeks learning what an experienced colleague already knows. A research team may unknowingly duplicate a project completed two years earlier. A knowledge manager prevents this by ensuring that the knowledge base stays accurate, current, and easy to navigate. They also champion a culture of sharing, so that experience does not stay bottlenecked inside a handful of senior people.

Knowledge management is rarely a one-person job. Larger organisations often build whole teams around it. According to analysis of knowledge management teams, these can include a Chief Knowledge Officer at the top, along with KM specialists who design systems and taxonomies, IT professionals who integrate platforms, and knowledge champions who encourage their teams to adopt good practices. KM leaders tend to focus more on change management than on technical detail, because getting people to change their habits is often the hardest part of any knowledge initiative.

Key skills for knowledge professionals

Becoming an effective knowledge professional requires a blend of technical ability, organisational thinking, and people skills. The role is genuinely multifaceted, which means no single skill is enough on its own. Below are the core areas that matter most.

Content organisation and information architecture

At the heart of the job is the ability to organise content so it can actually be found and used. This means designing clear taxonomies, applying consistent metadata, and structuring knowledge bases in a logical way. A well-organised knowledge base lets any employee locate what they need in seconds rather than minutes. This is where the traditional strengths of library and information science, such as classification, indexing, and cataloguing, translate directly into the corporate world.

Collaboration and communication

Knowledge management is fundamentally about people sharing what they know, so communication is essential. Knowledge professionals need to explain the value of knowledge sharing to every level of the organisation and make complex systems easy to understand. They have to practise communication, collaboration, and leadership constantly, often by leading communities of practice and bringing together people from different teams. Without strong interpersonal skills, even the best-designed system will sit unused.

Technical and digital tool proficiency

Modern knowledge work depends on technology. Professionals need to be comfortable with content management systems, knowledge base software, collaboration platforms, and document management tools. A growing awareness of newer technologies, including artificial intelligence and the semantic web, is increasingly part of the job. These tools form the backbone of how knowledge is stored, retrieved, and shared at scale.

Project and change management

Rolling out a new knowledge base or training programme is essentially a project, and it needs to stay on time and within budget. Beyond that, introducing new tools almost always meets some resistance, because people are reluctant to change familiar routines. Project management, change management, and stakeholder engagement skills are therefore crucial for sustaining knowledge programmes over the long term. Certifications such as PMP for project management or the Certified Knowledge Manager credential can strengthen credibility for those pursuing the field seriously.

Curiosity and analytical thinking

Good knowledge professionals have a sharp eye for useful information. They actively look for new ideas and resources that could help the organisation, rather than waiting to be asked. Curiosity, analytical thinking, and a degree of creativity round out the personal qualities that separate a competent practitioner from an exceptional one.

Adapting to digital knowledge

The nature of knowledge in the workplace has changed dramatically over the past two decades, and knowledge professionals have had to evolve with it. The rise of information and communication technology, the explosion of digital content, and the shift toward open access have all reshaped what the role demands.

This shift is especially visible in the field of library and information science. The meaning of a library has expanded from a place that preserves physical documents to a hub focused on knowledge management and access. As one study notes, the field has experienced a paradigm shift from the library as a storehouse to the library as an access provider. Professionals who once managed shelves now manage digital repositories, databases, and online services available around the clock.

New specialisations have emerged as a result. Today you will find titles such as digital librarian, systems librarian, repository manager, digital curator, information manager, and knowledge manager. Digital transformation has redefined the profession so that practitioners now work as information curators, digital resource managers, technology facilitators, and research data specialists, among other roles. The custodian of print collections has become a facilitator of an entire digital knowledge ecosystem.

Digital transformation has also strengthened the connection between knowledge professionals and education. In academic settings, librarians increasingly take part in curriculum design and information literacy instruction. Research on digital transformation readiness in academia highlights how information culture supports knowledge sharing and how the relationship between teaching staff and librarians has become central to quality education. The professional is no longer just a provider of information but a partner in building independent, capable thinkers.

What ties all of this together is a commitment to continuous learning. The tools and expectations keep changing, so the knowledge professional who thrives is the one who keeps developing new skills, experiments with emerging technology, and adapts to fresh demands. The diverse educational backgrounds of many people in the field show that there is no single path in. What matters most is the willingness to keep growing alongside the knowledge they manage.

Why this intersection matters

The meeting point of knowledge professionals and knowledge management is where individual expertise becomes organisational strength. Knowledge management provides the frameworks, such as the SECI model, that explain how knowledge is created and shared. Knowledge professionals provide the human skill, judgement, and care needed to apply those frameworks in real workplaces. One without the other tends to fail. A brilliant system with no one to champion it gathers dust, while a skilled professional with no structured approach cannot scale their impact.

For students entering this field, the message is encouraging. The demand for people who can organise information, encourage collaboration, and guide digital transformation is only growing. The skills involved, from classification and communication to technology and change management, are exactly the ones organisations increasingly cannot do without.

What do you think? Which skill do you believe will matter most for knowledge professionals over the next decade, technical mastery or the human ability to encourage sharing? And as artificial intelligence becomes better at organising information, how do you think the role of the knowledge professional should change to stay valuable?

How useful was this post?

Click on a star to rate it!

Average rating 0 / 5. Vote count: 0

No votes so far! Be the first to rate this post.

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

References
  1. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2019.02730/full
  2. https://www.servicenow.com/community/knowledge-management-blog/the-knowledge-creation-series-episode-1-the-seci-model-four/ba-p/3349445
  3. https://em-lyon.com/en/student/guides/jobs/knowledge-manager
  4. https://www.techtarget.com/searchcontentmanagement/tip/Key-roles-in-a-knowledge-management-team
  5. https://bloomfire.com/blog/career-in-knowledge-management/
  6. https://technicalwriterhq.com/career/knowledge-manager/knowledge-manager-skills/
  7. https://www.researchgate.net/publication/286711197_Changing_Role_of_Library_Professinal_in_Digital_Environment_A_Study
  8. https://ijarmt.com/index.php/j/article/view/577
  9. https://www.sciencedirect.com/science/article/pii/S009913332100094X

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

Information, Communication & Society

1 Data, Information and Knowledge – Intellectual Assets

  1. Value and Importance of Information
  2. Data, Information and Knowledge
  3. Libraries and Data, Information, and Knowledge
  4. Comparative Study of Data, Information, and Knowledge

2 Data – Definition, Types, Nature, Properties and Scope

  1. Meaning of Data
  2. Types of Data
  3. Nature and Properties of Data
  4. Scope of Data

3 Information, Definion, Types, Nature, Properties and Scope

  1. Information: Nature
  2. Information: Definitions and Concepts
  3. Information: Types
  4. Information: Properties
  5. Information Studies: Scope

4 Knowledge- Definition, Types, Nature, Properties and Scope

  1. Knowledge: Definition
  2. Knowledge: Nature, Characteristics/Properties
  3. Knowledge: Types and Scope
  4. Formation of Knowledge
  5. Origin and Growth Pattern of Disciplines
  6. Mapping of the Structure of Subjects
  7. Sociology of Knowledge
  8. Knowledge Utilisation

5 Information, Communication Process, Media and Diffusion

  1. Information
  2. Communication: Concept and Genesis
  3. Types of Communication
  4. Communication Process
  5. Information Diffusion
  6. Models of Information Diffusion Process
  7. Information System for Diffusion
  8. Gatekeeping of Technical Information

6 Generation of Information Modes and Forms

  1. Information
  2. Generation of Information
  3. Modes of Information Generation
  4. Forms of Information
  5. Impact of Information Technology on Information Generation

7 Information Theory- Measure and Contents Evaluation

  1. Approaches to Information Theory
  2. Information Basics
  3. Information Measure
  4. Information Entropy
  5. Information Communication
  6. Semantic Information Theory

8 Digital Information

  1. Nature of Digital Information
  2. Digital Fundamentals
  3. Digital Text
  4. Digitising Documents
  5. Analog to Digital Conversion
  6. Digital Audio
  7. Digital Video
  8. Digital Formats
  9. Legality of Digital Documents

9 Social Implications of Information

  1. Information /Knowledge as Social Wealth
  2. Dynamics of Change in Societies
  3. Impact of Information/Knowledge on Different Sectors
  4. Impact of IT on Libraries, Information Systems and Services and their Societal Implications
  5. Indian Society

10 Information as an Economic Resource

  1. Substance of Economics
  2. Information Economics
  3. Micro-Economics of Information
  4. Information Economy
  5. Knowledge Economy
  6. Indian Economy
  7. Economics of Information Systems and Services
  8. Relevance of Information and Knowledge Economics to Library and Information Studies

11 Information Policies- National and International

  1. Information Policy
  2. Restricted Meaning of Information
  3. Wider Meaning of Information
  4. Meaning of Policy
  5. National Information Policy: Aspects and Issues
  6. National Information Policy: India
  7. Information Policy: Efforts at International Level

12 Information Infrastructure- National and Global

  1. Information Society
  2. NEIS Goals
  3. Societal Impact
  4. Information Management Functions
  5. Infrastructure Overview: GII and NII
  6. Key Issues in GII
  7. Management of GII
  8. Network Access
  9. Home Networks
  10. Office Networks
  11. Corporate Networks
  12. GII Applications
  13. Security Issues

13 Information Society

  1. Information Society Concept: Evolution
  2. Economic Structure and Information Society
  3. Impact of Information Society on Information Profession
  4. Information Society: Developing Countries
  5. Information Society and Public Policy

14 Knowledge Society

  1. Social Transformation
  2. Features of a Knowledge Society
  3. Knowledge Economy
  4. Impact on a Few Sectors
  5. Digital Divide

15 Knowledge Management- Concepts and Tools

  1. Data, Information and Knowledge
  2. Knowledge Management (KM)
  3. Knowledge Management Systems
  4. Knowledge Products
  5. Data Mining and Text Mining

16 Knowledge Profession

  1. Knowledge Profession
  2. Normative Principles of Knowledge Resources Management and Services
  3. Emerging Knowledge-Based Environment
  4. ICTs Application Areas
  5. Knowledge Professional and Knowledge Management
  6. Knowledge Products
  7. Library and Information Science Professional as Knowledge Professional
  8. Preparing Knowledge Workers of the New Millennium