Four characteristics of the VUCA world and how it impacts work

Previously, I wrote an article “How Powerful are our thoughts?”. I wrote about the characteristics of the VUCA world. I believe that an individual’s thoughts are powerful in determining our success and lessen our suffering when searching for a job in today’s volatile, uncertain, uncertain and ambiguous (VUCA) world. I focused on the characteristics of volatility and connected it with the imagination. I would like to share more on the the four characteristics, example and approach according to the Harvard Business Review.

Volatility

Characteristics: The challenge is unexpected or unstable and may be of unknown duration, but it’s not necessarily hard to understand; knowledge about it is often available.

Example: Prices fluctuate after a natural disaster takes a supplier off-line.

Approach: Build in slack and devote resources to preparedness – for instance, stockpile inventory or overbuy talent. These steps are typically expensive; your investment should match the risk.

Uncertainty

The characteristics of uncertainty means that despite a lack of other information, the event’s basic cause and effect are known. Change is possible but not a given.

Example: A competitor’s pending product launch muddies the future of the business and the market.

Approach: Invest in information – collect, interpret and share it. The works best in conjunction with structural changes, such as adding informational analysis networks, that can reduce ongoing uncertainty.

Complexity

Characteristics: The situation has many interconnected parts and variables. Some information is available and can be predicted, but the volume or nature of it can be overwhelming to process.

Example: You are doing business in many countries, all with unique regulatory environments, tariffs, and cultural values.

Approach: Restructure, bring on or develop specialists, and build up resources adequate to address the complexity.

Ambiguity

Characteristics: Causal relationships are completely unclear. No precedents exist; you face “unknown unknowns.”

Example: You decide to move into immature or emerging markets or to launch products outside your core competencies.

Approach: Experiment. Understanding cause and effect requires generating hypotheses and testing them. Design your experiments so that lessons learned can be broadly applied.