Can Your Knowledge Management Withstand Chaos?!
In implementing or improving a knowledge management (KM) strategy, the question that fails to be asked or sufficiently answered is “Can our KM strategy withstand chaos?” In answering this simple yet complex question, an organization provides a core premise on which to build its KM strategy and better define key objectives (Nonaka, Konno, & Toyama, 2002). In simple terms, your KM strategy, processes, and systems must mean something more than just an ancillary add-on to your supporting organizational initiatives. Having a repository of information and data for employee access to routine operations and administration in itself does not justify or support a KM system.
Well-managed chaos and organizational redundancy are both core components of a KM system and both are empirically verified to create sustainable and superior performance and advantage (Kloviene & Gimzauskiene, 2008; Zairi & Al-Mashari, 2005; Nonaka & Nishiguchi, 2001). As it relates to creating new knowledge and utilizing existing knowledge, creative chaos contributes to an organization’s ability to achieve peak performance demonstrated through increased innovation in the form of products, services, and customer-client delivery. A key follow-on question to ask during the strategy formulation phase is “Is our system designed to exploit opportunities within our market in the form of enhanced products, services, or delivery? This is an exhaustive question to be asked of all key stakeholders and is not confined within the C-level suite. The input should be robust and measurable accompanied by defined expectations. As an example, do you expect to reduce R&D time-to-market, increase patents, develop proprietary systems or products, and create strategic alliances and joint ventures? Will leadership support a “fail-to-success” philosophy or is the margin for error slim? How will internalization of processes be expedited? How will you reward success and transparency? What processes are in place – embedded within your KM infrastructure that rewards the sharing of knowledge? Here are 4 key ways in which you can stretch your KM strategy and create intentional chaos:
1. Implement chaos with pre-determined objectives. The opportunities are only confined by your objectives. For example, how will you leverage your KM infrastructure in response to competitor entering the market with identical product or service delivered more efficiently than you? What about new legislation recently enacted that has a direct impact on cost of service or product?
2. Look for requisite variety. Requisite variety is nothing more than implementing processes that can be quickly learned and duplicated. Here is where you look for efficiencies from your workforce so that response to threats are addressed quickly with minimial impact on quality, service support, and customer experience – as a matter of fact, it may ideally be enhanced. Here, you will evaluate your organization’s existing knowledge base and perhaps develop new bodies of knowledge. This step tests your organizational culture and if you consider yourself a learning organization, it will test just how effective your organizational “university” can teach and implement skills when it counts most.
3. Evaluate organizational and individual performance. At the conclusion of your “chaos event,” an assessment of learning, and individual and organizational feedback should be provided. Don’t let your organization and your workforce guess at the outcome. Develop a well-orchestrated communications plan with a key goal of allowing your team to recognize the connection between effort and benefit. Each organization will do this differently. If you are a young firm, you may want to project savings, revenue growth, and on-going capital requirements. For more stable, mature companies, the chaos may actually be carried out until a defined point in your financial reporting to allow for quantifiable data and sound conclusions to be formulated. However, it is important to remember that the shorter the measurement and time frame of your implemented chaos, the more likely you will not adequately capture any sufficient return on investments. Avoid the trap of trying to measure ROI to quickly while balancing a realistic time for payback consistent with your organizational capacity.
4. Capture and implement new knowledge created. The feedback cycle loop is where the chaos really counts. The point of learning is to either discard existing knowledge or to create a unique body/subset of knowledge that did not previously exist. In the case of organizational learning, your knowledge capture processes and supporting systems ideally capture knowledge that links to service, product, and customer-experience for the better, creating an advantage over your competitors or having a measurable impact on your organization’s readiness level.
Ever since Senge’s The Fifth Discipline was introduced, the concept of knowledge management and more specifically, the learning organization has fluctuated between passing organizational fancy to bona fide organizational practice. Organizations that view KM as a bona fide organizational practice continually ask themselves, “Knowledge for what?” The detailed answer is specific to your organization, but the short answer is this: Knowledge to improve product and service innovation while enhancing customer-client delivery. You have to carry this point with you in order to elevate your KM strategy to its rightful place, which I argue is dead-center of your long-standing organizational initiatives. So go out and create some chaos and clarify the confusion. It may be just what your organization needs to survive and thrive.
Additional Reading/References:
Austin, M. J. (2008). Strategies for transforming human service organizations into learning organizations: Knowledge management and the transfer of learning. Journal of Evidence-Based Social Work, Vol. 5(3-4).
Kloviene, L., & Gimzauskiene, E. (2008). The role of institutional factors on changes of performance measurement system. Economics & Management, 49.
Nonaka, I., & Nishiguchi, T. (Eds.). (2001). Knowledge emergence: Social, technical,
and evolutionary dimensions of knowledge creation. Oxford: Oxford University
Press.
Zairi, M., & Al-Mashari, M. (2005). Developing a sustainable culture of innovation management: A prescriptive approach. Knowledge & Process Management, 12(3), 190-202. doi:10.1002/kpm.229.
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