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Projects, unlike operations, are unique undertakings that lead to unique outcomes. They face unique challenges that require an ecosystem where knowledge is easily acquired, produced, and integrated or shared. This way, unique challenges that are faced can be readily overcome through effective and timely knowledge transfer.
Project Managers need to proactively establish the formulation of such an ecosystem. The size and complexity of projects will determine how much effort and time is required to develop such an ecosystem that may be readily deployed to facilitate knowledge transfer in a project.
Knowledge is transferred primarily through codified documents such as records and files or through experience that is not codified. Codified knowledge is explicit knowledge which accounts for 5% of relevant knowledge required. Uncodified knowledge is tacit knowledge that accounts for 95% of knowledge needed to resolve unique challenges in projects. Hence the ecosystem developed should be one that facilitates experience sharing.
Several stages are involved in ensuring knowledge transfer occurs. They include clarifying project responsibilities as well as knowledge required to undertake these responsibilities. For example, an engineer may be required to design a shaft using Computer Aided Design. The knowledge required to do so has to be clarified. In the event this knowledge is not available, attempts should be made to locate the source of this knowledge so that it may be readily accessed.
For knowledge transfer to occur smoothly throughout all phases in a project, a suitable working environment to do so should be provided. Such a working environment should be identified in the planning stage of the project and provided to the team during project execution. The working environment should facilitate knowledge transfer techniques proposed such as work shadowing, networking, training that emerge at different phases of the project.
Apart from facilitating knowledge transfer, project managers should be mindful of the need to store and reuse knowledge that has been produced through knowledge sharing. This can be done through the development of project lessons learned for individual projects. These individual lessons learned may be collectively stored in knowledge repositories that help project teams seek out solutions to problems that were encountered in the past.
The need for fast and effective knowledge transfer is even more critical for projects undertaken using an adaptive approach. This is because to adapt quickly requires the ability to sense a change fast enough to be able to respond to that change in a timely manner.
For agile projects, knowledge transfer is facilitated when planning for sprints, reviewing deliverables as well as during retrospections that occur at the end of sprints. These events called sprint planning, sprint review and sprint retrospective respectively are mandatory events that must be done to facilitate knowledge sharing.
A doctor needs to understand human anatomy as well as physiology to be able to detect and treat diseases. Similarly a knowledge management practitioner needs to understand how information is put into context and the nature of information flows in an organization. This helps such a person develop a framework that enables him or her to map knowledge flows.
Developing such a framework that includes knowledge rather than information helps identify what knowledge is available and what knowledge is missing so that gaps in knowledge flows are better identified. The process of identifying the gaps in knowledge flows is called information modelling.
Knowledge Mapping
Information Modelling
Through a process of information modelling, it becomes possible to identify what knowledge is available and what knowledge is required to either improve a process, solve a recurring problem or seek better marketing opportunities
Sharma Management International has the required expertise to develop suitable knowledge maps as well as undertake information modelling to enable your company manage its knowledge assets better. For us to understand how to help you better, please provide basic information by clicking here
As business environments become increasingly embroiled in uncertainty and ambiguity the necessity for critical knowledge retention takes center stage. This is especially so in the knowledge age where people drown in information are starved of critical knowledge of how to continually improve.
In the knowledge age, the terrain of critical knowledge changes with time. Determination of critical knowledge is a dynamic phenomenon. It changes with circumstances and time. Many organizations spend time, money and resources acquiring knowledge that is supposedly critical but in reality, is not. Consequently, the applicability of knowledge retained in knowledge repositories declines with time. This short article seeks to provide ideas on how retention of knowledge has to be undertaken to arrest this decline.
Retention of such knowledge in the knowledge age requires consideration of a number of issues. They include the value it brings, the support it delivers and the process of retrieval that is required insofar as ensuring that the knowledge retained is applicable in practice.
Value Proposition of Knowledge
For any retained knowledge to be fervently consumed, it has to be knowledge that people value. Such knowledge helps employees work better, resolve issues and problems they face and make informed decisions. The higher the value this knowledge brings, the more readily it is acquired and applied in practice.
To establish what knowledge is critical requires a consideration of value it brings to the recipient of that knowledge from the perspective of the recipient. This highly valued knowledge for the specific targeted recipients has to be first determined. Only after this is established, the source of the required knowledge is determined. The knowledge source could include new hires, retirees, experienced managers or subject matter experts who have the critical knowledge required by the targeted knowledge recipients.
Social network mapping and technical support
Given the volatility of knowledge applicability in practice in the knowledge age, critical knowledge has to be analyzed in two primary context, know how or technical based and know who or social based. People need to be supported in terms of what they need to do as well as whom they need to refer to when this knowledge is required and applied.
Developing a checklist of what to do based on input received from a subject matter expert is insufficient. In addition, a social network mapping of who else possess this knowledge, why should this person be referred to, whom to avoid etc. enables a valuable ecosystem of social interactions required for knowledge acquisition to be developed as well.
When developing a framework for retaining critical knowledge that remains valuable over time, it is necessary to make adequate considerations for both technical know-how and know-what as well as mapping the flow of accessing knowledge from the right sources within specific domains that relate to the knowledge required.
Ease of Knowledge content retrieval
Critical knowledge has to be stored in a way that enables the best knowledge to be assessed by the right people at the right time to accomplish a specific goal. This requires knowledge to be stored in a condensed form and remain easily accessible to whosoever requires it when it is required.
Making this possible requires developing readily consumable knowledge nuggets developed based on the existing taxonomy in use. In addition, a process of content validation of knowledge from the source is required so that it may be readily accessible by knowledge recipients. The process of tagging key words or phrases and linking these to the specific content that has been stored is crucial in this regard.
In summary for iteratively improving business processes and delivering better products and services over time, critical knowledge required has to be retained and applied in practice. The knowledge retained will be of value only if it incorporates both know how as well as know who to get work done better. In addition, such knowledge should be structured in a way that remains easily accessible to whomsoever needs it whenever it is needed.
For additional assistance on how this may be done and to view a number of templates that have been developed to do this in practice, please contact Sharma Management International here at your convenience.
Dr Rumesh Kumar DBA MBA PMP CKM CST
As business environments become increasingly embroiled in uncertainty and ambiguity the necessity for critical knowledge retention takes center stage. This is especially so in the knowledge age where people drown in information are starved of critical knowledge of how
to continually improve.
In the knowledge age, the terrain of critical knowledge changes with time. Determination of critical knowledge is a dynamic phenomenon. It changes with circumstances and time. Many organizations spend time, money and resources acquiring knowledge that is supposedly critical but in reality, is not. Consequently, the applicability of knowledge retained in knowledge repositories declines with time. This short article seeks to provide ideas on how retention of knowledge has to be undertaken to arrest this decline.
Retention of such knowledge in the knowledge age requires consideration of a number of issues. They include the value it brings, the support it delivers and the process of retrieval that is required insofar as ensuring that the knowledge retained is applicable in practice.
Value Proposition of Knowledge
For any retained knowledge to be fervently consumed, it has to be knowledge that people value. Such knowledge helps employees work better, resolve issues and problems they face and make informed decisions. The higher the value this knowledge brings, the more readily it is acquired and applied in practice.
To establish what knowledge is critical requires a consideration of value it brings to the recipient of that knowledge from the perspective of the recipient. This highly valued knowledge for the specific targeted recipients has to be first determined. Only after this is established, the source of the required knowledge is determined. The knowledge source could include new hires, retirees, experienced managers or subject matter experts who have the critical knowledge required by the targeted knowledge recipients.
Social network mapping and technical support
Given the volatility of knowledge applicability in practice in the knowledge age, critical knowledge has to be analyzed in two primary context, know how or technical based and know who or social based. People need to be supported in terms of what they need to do as well as whom they need to refer to when this knowledge is required and applied.
Developing a checklist of what to do based on input received from a subject matter expert is insufficient. In addition, a social network mapping of who else possess this knowledge, why should this person be referred to, whom to avoid etc. enables a valuable ecosystem of social interactions required for knowledge acquisition to be developed as well.
When developing a framework for retaining critical knowledge that remains valuable over time, it is necessary to make adequate considerations for both technical know-how and know-what as well as mapping the flow of accessing knowledge from the right sources within specific domains that relate to the knowledge required.
Ease of Knowledge content retrieval
Critical knowledge has to be stored in a way that enables the best knowledge to be assessed by the right people at the right time to accomplish a specific goal. This requires knowledge to be stored in a condensed form and remain easily accessible to whosoever requires it when it is required.
Making this possible requires developing readily consumable knowledge nuggets developed based on the existing taxonomy in use. In addition, a process of content validation of knowledge from the source is required so that it may be readily accessible by knowledge recipients. The process of tagging key words or phrases and linking these to the specific content that has been stored is crucial in this regard.
In summary for iteratively improving business processes and delivering better products and services over time, critical knowledge required has to be retained and applied in practice. The knowledge retained will be of value only if it incorporates both know how as well as know who to get work done better. In addition, such knowledge should be structured in a way that remains easily accessible to whomsoever needs it whenever it is needed.
For additional assistance on how this may be done and to view a number of templates that have been developed to do this in practice, please contact Sharma Management International at This email address is being protected from spambots. You need JavaScript enabled to view it. at your convenience.
Dr Rumesh Kumar DBA MBA PMP CKM CST
We live in a world where major governmental policy changes take place via Twitter. One tweet can change the course of the world’s economy, with billions of dollars and millions of people being affected overnight. In this era, where stability and certainty are words we can only use to wistfully remember the past, agility becomes essential to an organization’s survival.
Being in an agile landscape means being able to adapt in a work environment that changes very quickly and unexpectedly. These emerging changes can be very significant and impactful to an organization. When one is not able to adapt to these changes, their overall performance falls. Consequently, organizational objectives and key performance indicators are not met.
The realization of the importance of adaptation within this changing environment is important. Why is it so difficult to adapt to perform better in an agile working environment? What should be done to adapt better with others as changes become increasingly common?
People work best when they know what to do and how to do it. This is usually only possible when people have the experience and expertise to do what is needed. However, when their responsibilities deviate from the norm, uncertainty crops in. They may not have the expertise or experience needed, and as such are unable to perform as required. Therefore, in order to effectively perform their roles, they will then have to seek and access relevant pieces of knowledge, to ensure that their expertise and experience matches up with their role and responsibilities. If they are unable to effectively access the knowledge needed to adapt to the changing requirements, the organization will lose their ability to grow more resilient in the face of these uncertainties.
As per the above, the one effective method to combat uncertainly is effective knowledge management. One of the ways to more effectively manage knowledge is to ensure a better understanding of issues, which comes from developing accurate and deep insights of expertise from many different perspectives. This requires connecting with people who possess the required expertise and experience needed to deal with emerging problems or requirements.
Once better understanding is achieved, organizations may wish to to further explore beyond the boundaries of existing expertise and capabilities. This involves developing better mechanisms for optimizing existing knowledge assets.
In short, organizational agility is the byproduct of effective knowledge management. Investing in optimizing knowledge assets, by acquiring, creating and integrating knowledge, will lead to a greater ability to confidently respond to the turbulence that uncertainty causes. This leads to improved performance. Hence, knowing how to optimize knowledge assets is the key to succeeding in an agile landscape.
Dr Rumesh Kumar
January 2020
Harnessing knowledge does not necessarily lead to people working better. People do not work better because they know more. They work better because they feel a sense of ownership and demonstrate that ownership by working better.
An alternative approach to dealing with volatility, uncertainty, complexity ambiguity in the new world
Unleashing the powers of the mind has been one of the more enduring and yet elusive goals of mankind. As we embark on a perilous voyage into the realm of ambiguity, the need for seeking solace through introspection has never been so acute as it is now. Despite a plethora of suggestions on how to addresss complex, ill structured and ambiguous challenges, little has been done to demonstrate how this can occur in practice.
Anyone responsible for managing knowledge in an organization needs to develop a game plan or strategy for doing so. This provide guidance on what needs to be done and why it is necessary. Without a business strategy, a business cannot grow as intended. Likewise, without a knowledge management strategy, attempts to optimize knowledge cannot proceed as intended.
We may be clear of what a business strategy entails. However, a lot of uncertainty surrounds the development of a knowledge management strategy. What should such a strategy comprise of? How do we begin developing one? Who should be involved in its development?
How can we get funding for such a strategy? These are very pertinent questions that need to be addressed.
Answering these questions maybe done systematically through the adoption of a simple three step approach that involves;
The 4th Industrial Revolution has revolutionized the way society functions and the nature of work itself. We witness staggering changes it has brought and are left wondering how to deal with this new phenomena. This article provides a glimpse of what has transpired and how to navigate around this bewildering episode called the 4th Industrial Revolution.
This revolution has brought in its wake, a blistering array of new technologies such as artificial intelligence (AI), automation, Big Data, and the Internet of Things (IoT). These technologies have indeed to a large extent improved the quality, speed, or price at which value is produced. We have new discoveries made in the field of genetics and a huge vista of business opportunities opened to people who have ventured to capitalize on the new value propositions available.
Click here to listen to the full podcast on BFM 89.9
Communication is the process of sharing knowledge. Effective communication requires an understanding of how knowledge should be shared across various knowledge boundaries that exist when silo-based mentalities manifest.
Essentially, three knowledge boundaries exist in any organisation: syntactic, semantic and pragmatic. These three boundaries are explained through increasing magnitude of difference, dependence and novelty. Understanding these concepts allows an organisation to better manage knowledge sharing specifically in the new product development process and, arguably, in any circumstance. This saves time and money while ensuring accuracy and satisfaction.
At each boundary, there is some level of difference, dependence and novelty. The 'difference' here refers to a difference in the amount of knowledge and/or type of knowledge. Dependence is the connection of different knowledge to accomplish a task. Novelty is how different the knowledge is from what is currently known. For example, a front-end and back-end engineer will have a difference in what programming languages they know, their knowledge is dependent on each other to create a website and there will be some novelty as they move between different projects that have different requirements. These three parameters would change in magnitude were we looking at a back-end engineer and marketer.
The first major boundary is syntactic. In short, this is the language (defined broadly) that each person speaks. Every role in an organisation has its own jargon and common lexicon, even more if cultural differences are
involved. Syntactic boundaries make knowledge transfer difficult as there is no common lexicon. Thus, to solve syntactic boundaries, a common lexicon must be developed. This is not to be underestimated; it may take more effort than it initially may seem. For our engineer and marketer, they need to develop a common set of words to communicate with each other.
This leads us to the next boundary: semantic. Having a common lexicon is a great first step but now there must be a common, shared understanding to avoid misinterpretation. Semantic boundaries focus on translating knowledge. Here it is crucial to make implicit knowledge explicit. “It is not just a matter of translating different meanings, but of negotiating interests and making trade-offs between actors”. To solve semantic boundaries, common meanings and interpretations must be developed. The engineer and marketer must develop a common understanding of their lexicon – this can require making new agreements. Essentially, this is exploring meaning. Boundary spanners can act to mediate people in conflict here – spanners can be people, activities, or processes.
Lastly, the pragmatic boundary. Sometimes a common lexicon and understanding are still not enough because of conflicting interests between people. Pragmatic boundaries look at how shared meaning is transformed into the actual product/service. To solve pragmatic boundaries practical and political effort is needed. Here the engineer and marketer must work through their specific interests in the project to create a common interest. Boundary objects such as prototypes, drawings and wikis can be helpful because they are malleable enough to change but solid enough to define a direction.
Any activity in an organisation with more than one person has these knowledge boundaries. A clear understanding of and attempts to minimize syntactic, semantic and pragmatic knowledge boundaries allows for effective knowledge sharing, correct outcomes and satisfied people; this is an iterative process that will get better the more a team works together.
In our previous article, we explored how optimizing knowledge processes enables organizational transformation from a culture of blaming towards a culture of accountability. A key lesson learned was that only with active involvement of all parties involved, facilitated through knowledge management practices, can such a situation come to fruition.
Recently, we have been discussing an idea suggested by Forbes that Knowledge Management facilitates decision making, enables the building of a learning organization, as well as creates a culture of knowledge sharing and innovation. In this segment, we focus on the intimate relationship between better decision making by leaders and knowledge management at a personal level.
In order to make high-quality better decisions in volatile and highly uncertain and complex business environments, three requirements need to be fulfilled. The first is the ability to undertake assumptions analysis. The second is the ability to suspend unilateral perspectives in favour of multiple perspectives when attempting to understand the situation and complication being faced. The third is the ability to make a decision that meets the short-term, as well as long-term, aspirations of all stakeholders involved.
Assumptions analysis
In highly complex and uncertain business environments, leaders have to rely on their gut feel and intuition to decide on the best way forward. They are forced to decide based on limited, changing information and make assumptions on what other issues impact their proposed decisions. This was an acceptable practice in the past but is not the case anymore. Today, the volatility and extremely complex interrelationship between different elements of the business environment renders the tendency to assume a very risky option to undertake.
To minimize the risks associated with making incorrect assumptions, leaders need to identify and acquire critical information either through the association of people who have relevant experience or be able to intelligently analyze data to guide and assess the assumptions they make. As a result, the knowledge acquisition process needs to be optimized through enhancing the ability to connect with people who have the necessary expertise at short notice and the expertise to analyze information intelligently.
Multi-perspective Analysis
Rapid and significant changes have become commonplace occurrences these days. There have been cases where what appeared to be the “obvious” decision to make from a leadership standpoint, led to a nightmarish outcome. A case in point is the decision by Nokia to downplay the advent of Apple’s iPhone. According to Nokia leaders at that time “such a phone will not go far” in 2007, led to the demise of Nokia’s leading position as a cell phone retailer.
With the complexity and interdependency of technological start-ups, including the advent of artificial intelligence and advanced robotics, boundaries of technological developments are becoming increasingly blurred. Under these circumstances, where leaders are limited to their current level of superficial understanding, within the confines of a limited point-of-view, when making critical decisions. Given their limited comprehension of the unprecedented evolution of technology that is unfolding before them, we clearly need a more effective means of making such critical decisions.
The only way to make better decisions in such situations is through the production of knowledge that broadens the understanding of the emerging business environment. This requires the involvement of all stakeholders in terms of sharing and producing knowledge on a regular basis. This will over time, enable development of a more holistic and multi-perspective view of issues. These perspectives shared and discussed amicably through dialogue using Knowledge Management techniques such as the Knowledge Café will go a long way in extending options available to leaders in dealing with issues that are ambiguous in nature.
Balancing short and long-term needs of stakeholders
In general, the thinking process of people involves perceiving what is happening, and from that perception, developing an understanding of how what is happening, affects the well-being of the person, followed by making a decision on what to do, based on the level of understanding the individual has achieved.
When this is done by one person, such as a leader who has to decide on the next course of action, his or her perception may be clouded by inaccurate or incomplete information that could lead to a superficial understanding of the situation and complication inherent within it. Consequently, the decision made may be suboptimal and at times disastrous. This is by virtue of the fact that all stakeholder considerations were not made and the decision most often is based on good short-term returns without considering long-term implications of these decisions.
To mitigate the negative outcomes of a wrong decision and to minimize the possibility that sub-optimal decisions are made, leaders need to develop a knowledge management capability that optimises the process of acquiring the correct knowledge from the right stakeholders at the right time, producing a holistic, shared understanding of the situations and complications involved from all relevant stakeholders and based on such an understanding be in a better position to make better decisions.
Making a reasoned, well thought out decision that can affect stakeholders wellbeing is dependent to a large extent on minimizing the consideration of unverified assumptions and adopting a unilateral, superficial understanding of issues. Such a decision has to be premised on the need for internalizing concerns and welfare of stakeholders involved both in the short and long term.
If this is done as a matter of routine, then such an approach to decision-making is deemed to have been integrated into the decision-making process adopted by leaders in the organization. Developing and maintaining a well-oiled and thought out knowledge management approach as a catalyst for making the right decisions is certainly a step in the right direction.
I recently conducted a Leadership Challenge workshop for twenty senior leaders & board members. We discussed Extreme Ownership (click here to see the video) and how we can use it to lead our teams to victory in today's VUCA environment.
The central message in the video is that imbuing a strong sense of total ownership and accountability within the psyche of employees is crucial. This takes time. It requires the change to occur gradually, evolving from a change that is primarily developmental to one that is transitional and finally to one that transforms the organization in its entirety.
This transformation is contingent on the level of readiness of acquiring new knowledge regarding the importance of total ownership, producing knowledge relating to the belief systems that are appropriate within the context organization and integrating this belief throughout the organization. It depends on how well the organization in question is able to optimize its knowledge management processes of knowledge acquisition, knowledge production, and knowledge integration in order to imbibe new insights and beliefs that essentially form organizational knowledge.
Developmental change involves employees focusing on their shortcomings in leading themselves towards becoming better at what they do. This requires guidance by way of feedback and work on that feedback to initiate and sustain changes that develop them as better leaders. Such developmental change is temporary and the tendency to revert back to their default leadership approach is strong unless these efforts are sustained through the acquisition of feedback on a regular basis.
As the developmental change is sustained, transitioning towards a different belief system altogether attuned towards being accountable for action taken and taking ownership of results obtained becomes possible. This transitional change is only possible through the reinforcement by real-life experiences at work, leadership by example and a joint commitment by peers to adhere to this belief under all circumstances. Efforts to support this transition through constant engagement through knowledge sharing is crucial at this stage.
When this transition occurs and the sense of total ownership and accountability permeates the entire spectrum of activities undertaken by all employees, transformational change will emerge in the people in terms of how they act, think and emote. This change will require a reassessment of the overall structure and systems to be in line with the cultural shift that occurs. This will mark the emergence of a culture of accountability.
Organizational knowledge management capability is one of the key requirements that drive such an organizational transformation. The availability of knowledge management expertise required to engage stakeholders to build on their cumulative knowledge and belief systems regarding accountability and total ownership is necessary. This requires the development and adoption of practices that encourage sharing of knowledge and beliefs about the importance of total ownership through storytelling, promotion of activities that encourage like-minded people to connect and collect tacit knowledge about how to develop new norms that promote total ownership within the organization in question.
The integration of these new norms into the fabric of organizational practices has to be very closely monitored. This calls for everyone concerned to regularly own up to one’s mistakes and seek avenues for improvement at every available opportunity by sharing knowledge. This practice has to be regularized to a point where it becomes routine. Only then will the transformation from a culture of blame to a culture of accountability will begin to emerge.
You may have heard of brainstorming, but questionstorming?? Well this is apparently a new term being bandied around in knowledge management based circles. Let me share with you why this approach is gaining ground fast as a tool for acquiring knowledge that is required, when it is required.