Big Data this, predictive analytics that. Give me a break.
Analytics, Big Data, business, Clay Christensen, Design Thinking, disruptive innovation, Generative Management, George Gilder, integrative thinking, Kevin Kelly, Nassim Taleb, operations, Peter Drucker, Roger Martin, Russell Ackoff, strategy, thought leaders
Like yin and yang, human enterprise has two facets: closed-loop activities and open-ended endeavors. In management we call these two operations and strategy.
Big Data, business, Categorization, causality, Cause and Effect, complexity, creativity, Cynefin, Daniel Pink, Dave Snowden, Drucker, Drucker Forum, Emergence, future, Imagination, Innovation, Knowledge, management, Methods, models, Motivation, Peter Checkland, Resilience, Revolution, Roger Martin, Russell Ackoff, Safety, Sense Making, Social Systems, Society
If one were to cut a global cross-section through social classes, nationalities, ethnicities, ages, professions, genders, and so forth, very few commonalities would emerge. And yet, there is I propose just such a common thread: a shared causality mindset, a globally predominant belief in the supremacy of cause and effect.
Since it is people who run our institutions, this belief continues to shape our modern society and even influence to a large extent the technological outcrops of our knowledge economy. From business strategy to macroeconomic models, and from political debates to Big Data, causality is pervasive and its implications profound.
Analytics, Big Data, business, creativity, Frederick Taylor, Humanity, Information Technology, Knowledge Economy, Machines vs. Humans, management, Manufacturing, Mechanistic Thinking, Process, Production, Research and Development, Workflow, World View
This will be a very short blog post. I am not going to make an elaborate argument. Rather, I would like the “evidence” to speak for itself. My thesis is that Information Technology (IT) continues to proliferate mechanistic thinking in business, more than a century after Frederick Taylor fathered the science of workflow analysis and labor productivity in a manufacturing intensive economy. While we’ve since moved on to the knowledge economy, we have yet to abandon manufacturing thinking.