Displaying items by tag: Knowledge Management

Thursday, 30 January 2020 14:42

Knowledge Management in an Agile Landscape

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

Published in Knowledge Management

Under pressure, a spring recoils to take the pressure as it is agile. However, a thin plastic sheet cracks as it is fragile. The consequence of what happens depends on the characteristic of the spring and the plastic sheet. The pressure applied is akin to challenges posed in this ever-turbulent environment that breeds disruptive technologies at an alarming pace. Organizations are either able to adapt to this turbulence or disintegrate due to it, depending on how agile or fragile they are.

The desire to and realization of the importance of becoming agile is predominant. How exactly does a business entity become agile and what should be done to avoid becoming fragile in the face of the relentless onslaughts of challenges being faced?

With the advent of disruptive technologies, business entities have to shift their preference to remain agile. Otherwise they become fragile and susceptible to failure. As long as they plan strategically, learn when necessary and exploit existing opportunities, they remain fragile. The degree to which these preferences shift towards scenario planning, unlearning and relearning continually as well as exploring beyond existing opportunities, they become increasingly agile.

 

Scenario Planning over Strategic Planning

Strategic planning involves structured consideration of internal and external issues to develop the one true ‘best way forward’. Scenario planning involves developing different scenarios and analyzing different ways of moving forward. Strategic planning is premised on a predictive approach to strategy development that assumes it is possible to predict the future. Scenario planning is premised on an adaptive approach that embraces change and incorporates this into a planning horizon.

This involves asking and seeking answers to the “what if” questions, rather than assuming all will work well once a strategic plan has been established. When business entities encourage senior management to ask “what if” questions regularly, they remain agile. Otherwise they become fragile, susceptible to the changing business terrain.

 

Unlearning and Relearning over Learning

As uncertainty takes center stage within the business ecosystem, the need for better understanding increases. Better understanding comes from developing accurate and deep insights of issues from many different perspectives that require unlearning previously held perspectives.

A willingness to unlearn, learn and relearn continually is required to adapt and remain agile. Acquiring knowledge only when necessary without sufficient understanding leads to fragility, especially whenever the need for new processes and systems overwhelms the capacity to develop them. Comfort zones are the enemy of growth.

 

Exploration over Exploitation

When the focus is in exploiting the existing business model, fragility sets in whenever the existing boundaries of exploitation are approached. Many car manufacturers in the US suffered huge losses when to the exploitation of their existing patents and intellectual property led to market fatigue and declining sales margins. Their inability to innovate and ‘explore’ led to their downfall, and the rise of Tesla Motors. Elon Musk, an ‘explorer’ in the truest sense, managed to forge a path for himself beyond the self-imposed boundaries of the auto industry, and challenged the very notion of ‘driving’, and the concept of ‘cars’.  Only when faced with increased competition did the traditional car manufacturers relent and explored other possibilities, such as electric vehicles and self-autonomous vehicles.

To explore beyond the boundaries of existing expertise and capabilities requires agility and adaptability. Better mechanisms for optimizing existing knowledge assets are sought for exploration to occur. Knowledge acquisition, creation and integration on a regular basis becomes a mainstay that facilitates agility and adaptability. By exploring what lies beyond what they are doing, they remain agile.

To be agile, business entities should shift their preference towards scenario planning, unlearning and relearning and engage in exploration over exploitation. By doing so, they remain agile, otherwise, they become fragile in the face of disruptive technologies they encounter.

 

Dr Rumesh Kumar

January 2020

Published in Diagnostics

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.

Published in Knowledge Management

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.

Published in Knowledge Management

How Knowledge Management is crucial for Digital Transformation 


I had a chat with a Chief information Officer of a business conglomerate the other day. His company embarked on a Digital Transformation strategy recently. Millions of dollars were invested in cloud computing and data analytics but he lamented that the efficient return on these investments are difficult to realize. As we spoke it became clear to me that this was a common problem most companies embarking on a digital transformation experience. I enquired on the basis for selecting the digital technology in question and his response was that it appeared to be the best available. Evidently, it appears that the allure to invest is there but grounds for doing so efficiently remain unclear. Let me share my thoughts on how better knowledge management helps identify what needs to be digitized and how to select the digital technology that gives the best returns for investing in digital transformation. 

Published in Knowledge Management

 

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;

 

Published in Knowledge Management

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.

Published in Knowledge Management

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.

Published in Knowledge Management
Thursday, 31 May 2018 10:09

Knowledge Management and Decision Making

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.

Published in Knowledge Management
Wednesday, 27 December 2017 14:06

Thinking About Thinking

To manage means to be in control. We need to be in control of these aspects in order for us to achieve our desired outcome. Most existing literature in management tend to dwell on how to manage these aspects on a daily basis. Articles and books on management today predominantly provide “to do” lists to guide behavior.

Published in Knowledge Management
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