Category Archives: Change

Why Do People Resist Change?

Why Do People Resist Change?

by Braden Kelley and Art Inteligencia


Why Do People Resist Change? (Short Answer)

People resist change when the new way costs them more than it returns — in effort, status, safety, time, or trust — or when they cannot see how to succeed at it. Much of what leaders call resistance is a rational response to the design of the change. Fear is sometimes part of the story. It is rarely the whole story.

Resistance is information. It tells you where the change asks people to lose something you have not replaced.

Below you’ll find what resistance actually signals, the reasons it shows up, how to tell design failure from unwillingness, and what to do before you diagnose someone’s character. Change management exists to achieve objectives in people’s behavior — see What Is Change Management? — and resistance is one of the clearest signals that those activities are missing or misaimed.

What Is Resistance to Change, Really?

Resistance is what people do when a proposed change threatens something they rely on and the replacement is unclear, unfair, or unworkable. It shows up as questions, workarounds, silence, delay, and sometimes open pushback.

Silence is easy to misread as agreement. In most transformations, the real objections travel in hallways because honesty has had a cost before. Those quiet questions — about jobs, power, time, metrics, and whether this effort is real — are catalogued in 10 Questions Employees Quietly Ask During Every Transformation.

Treat the signal as data about the change. People are telling you where the new way fails a basic test: Can I succeed at this, and is it worth what I give up?

What Are the Main Reasons People Resist Change?

  1. They cannot see themselves succeeding.
    The future state is described in slogans. The skills, the first week, and what “good” looks like for their role stay vague. Uncertainty reads as risk, so people stay with the work they already know how to do.
  2. They lose status, identity, or control.
    Expertise that took years to build can become less valuable overnight. A new system can move decisions away from the people who used to make them. That loss is concrete. Calling it “mindset” does not replace what was taken.
  3. The new way adds work and nothing stops.
    Another process, another tool, another meeting, stacked on the current job. If leaders cannot name what people will stop doing, the change is an extra load. People protect their capacity by dragging their feet.
  4. The old scorecard still pays.
    Promotions, bonuses, and manager praise still follow the behavior the change is supposed to replace. People follow the metric that affects their livelihood. They are responding to the system you still run.
  5. There is no time to practice.
    Training is scheduled. Practice on real work is not. People are asked to perform the new way in front of customers or leaders before they have been allowed to be clumsy at it. Avoidance is how they protect quality and reputation.
  6. Trust has already been spent.
    Earlier initiatives launched, faded, and left the extra work behind. People wait for proof that this one will change tools, decisions, and consequences — not only the branding. Belief returns when receipts show up in the work.
  7. The change itself is hard to use.
    Broken handoffs, missing authority, bad data, and tools that make the job slower produce “resistance” that is really feedback. The people closest to the work are often the first to discover that the design does not survive contact with a real day.

How Do You Tell a Design Problem from Unwillingness?

Ask where the friction sits before you decide who is “on board.”

  • If the same pushback shows up across teams that do not share a personality, look at the design: the job, the metric, the tool, the time, the loss.
  • If people can explain the change and still cannot do it on a normal day, you have an enablement gap, not a communications gap.
  • If a few people resist after the path is workable, the loss is named, practice is funded, and the old incentive is gone, then you are dealing with individual choice. That is a smaller group than most steering committees assume.

Leaders still reach for the shorter story: resistance means the people are the problem. That story feels efficient and skips the redesign. I treat it as one of the myths that keep showing up in 8 Change Myths Leaders Still Believe in 2026.

Diagnose the work before you diagnose the person.

How Do You Respond to Resistance to Change?

  1. Ask what they stand to lose, and answer in specifics: role, status, workload, and what happens if they speak up.
  2. Publish a stop list alongside the start list. If nothing stops, the change is additional work.
  3. Align one metric that still rewards the old behavior. People will not abandon a scoreboard that still decides their review.
  4. Fund practice on real work, with coaching, before you judge performance in the new way.
  5. Give sponsors levers, not only airtime: decision rights, staffing, and the authority to remove the old path.
  6. Fix the design people are tripping over — handoffs, permissions, data, tools — and say what you changed because they told you.

For how those activities sit inside a full change effort — planning, leadership, management, maintenance, and portfolio — see 5 Steps of Human-Centered Change That Survive Reality.

People move when the new way is safer and more workable than the old one. Make that true, then ask for commitment.

Ready to Take the Next Step?

Resistance gets quieter when people can see the whole change, name what they will stop, and practice the new way with sponsors who can actually change the work. That is a planning problem you can take on directly.

See the methodology. Explore Human-Centered Change™, my visual, collaborative approach to planning change so the people who must live it can see the whole effort and adopt the new way.

Get the toolkit. Read Charting Change, my practical guide to Human-Centered Change™, built around the Change Planning Canvas™ and 70+ visual tools for getting everyone on the same page.

Listen to the resistance long enough to redesign the change. Then give people a path they can actually walk.

FAQ: Why People Resist Change

Why do people resist change?

People resist change when the new way costs them more than it returns, in effort, status, safety, time, or trust, or when they cannot see how to succeed. The resistance often points to a design problem: unclear benefit, extra work, old incentives, no practice time, spent trust, or a change that is hard to use.

Why do employees resist organizational change?

Employees resist organizational change when their job, status, or workload is threatened and leaders have not said what stops, who decides, how performance will be judged, or whether speaking up is safe. They are often protecting their ability to do good work inside the system that still exists.

Is resistance to change normal?

Yes. Resistance is a normal response when a change threatens something people rely on and the replacement is unclear or unworkable. It is useful information about the change. It becomes a problem when leaders treat it only as a mindset issue and leave the design untouched.

How do you overcome resistance to change?

Name what people lose, publish what they will stop doing, align the metrics that still reward the old way, fund practice on real work, give sponsors real decision rights, and fix the parts of the design people are tripping over. Commitment follows a path that is safer and more workable than the status quo.

What are the main reasons people resist change?

The main reasons are inability to see how to succeed, loss of status or control, added work with nothing removed, incentives that still pay for the old behavior, no time to practice, broken trust from past initiatives, and a change that is genuinely harder to use than the current way.

Image credits: Cursor

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Cursor to clean up the article, add images and create infographics.

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Top 10 Human-Centered Change & Innovation Articles of August 2026

Top 10 Human-Centered Change & Innovation Articles of August 2026Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are August’s ten most popular innovation posts:

  1. Time to Rethink Pitch Fests and Business Plan Competitions — by Arlen Meyers
  2. What If You Could Prove the Government is Ripping Us Off? — by Braden Kelley
  3. The Surprising Innovation History of the Bicycle — by John Bessant
  4. Dead Actors Society — by Art Inteligencia
  5. Amazon Connect Combines Human Empathy with AI to Redefine Service — by Shep Hyken
  6. AI Will Create a More Human Future, Not a Less Human One — by Braden Kelley
  7. Managing Your Work Friends — by David Burkus
  8. Building the Business Case for a Customer Experience Audit — by Braden Kelley
  9. Customer Experience Audit vs. Customer Satisfaction Survey — by Braden Kelley
  10. Case Study – Innovating Around a Disruption — by Jason Hauer

BONUS – Here are five more strong articles published in July that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Build a Common Language of Innovation on your team

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last five years:

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Change is Coming from Everywhere

Change is Coming From Everywhere

GUEST POST from Greg Satell

In the small town of Alamogordo, New Mexico in 2002, a plan was hatched to pass a no smoking ordinance. The wife of a City Council member, a strong no-smoking advocate, orchestrated the campaign. She recruited activists from the next town over, twisted arms and, in a show of force, pushed for a quick vote. It failed.

Compare that to a similar effort in El Paso, Texas around the same time. The central advocate in this case was not anybody with great clout, but a student on an internship assigned to do research on the issue. As he quietly gathered facts, he became a local authority, spreading what he learned. The ordinance passed by a vote of 7-1.

People often say that change has to start at the top, but that’s not really true. Change isn’t top-down, nor is it bottom up. It emanates from the center of networks. Ironically, the way you get to the center is by connecting out to small groups, loosely connected and uniting them with a shared purpose. To really drive change, you can’t overpower, you need to attract.

Change Always Comes From The Outside

Whenever we see a successful transformation we look to the actions of leaders. We see a CEO who gave a speech, a marketer who came up with a big product idea or an engineer who took a project in a new direction. These events are real, but they rarely, if ever, appear out of nowhere. They are products of webs of influence.

When we look more closely, we inevitably find that the CEO was inspired to give the pivotal speech from a conversation he had with his daughter. The marketer got the initial idea for the campaign from a junior team member, who saw it somewhere else. Or the engineer changed the direction of the project after a fateful encounter on vacation.

One of the things we know from the earliest studies of how innovations spread is that change always comes from the outside. For example, the first Iowa farmers to adopt hybrid corn were the ones who visited Des Moines most frequently and the early adopters of tetracycline were doctors that most often attended out of town conferences.

So change doesn’t have to start at the top. What is true is that culture starts at the top. Leaders determine what gets rewarded and what gets punished. If people feel free to experiment with new things, more innovations will be adopted. If, on the other hand, there is an atmosphere of strict regimentation, then little will ever change.

The truth is though, most organizations are somewhere in between. There is a certain amount of freedom within agreed upon guardrails. What was striking about the two no-smoking ordinance examples is that the successful effort worked within the culture, while the unsuccessful effort tried to break established norms. Successful change efforts don’t overpower, they attract.

Working At Every Level

Once you realize that change doesn’t have to start at the top, it becomes clear that every level of the organization has a role to play. Leaders tend to be enthusiastic about change, because they want to be seen as dynamic and leading somewhere rather than standing still. People at the bottom are often open to change because they aren’t invested in the status quo.

It’s the so-called “muddy middle” where you tend to get the most resistance. They are high enough in the organization to have some attachment to the current state of affairs, while at the same time they, unlike senior leadership, will actually have to do the work to implement changes. For overworked executives, that can be a tough sell.

Yet it is precisely those middle level executives that are absolutely essential to any change effort. They usually have enough authority and resources to get an initial Keystone Change started and can help recruit others. They also usually have been around long enough to have some political savvy and know where the pitfalls and tripwires in the organization lie.

So the truth is that every level of the organization can be helpful. The most junior people are the easiest to recruit. Senior people have clout and are usually predisposed to want to see change (if, for no other reason than they can take credit if it is successful). The middle-level executives can actually help you get stuff done.

Identifying Your Apostles

What’s first striking about the two no-smoking ordinance efforts is the power differential. In Alamogordo, the wife of the City Council member had significant power and relationships in another town, where the student with the internship had none. It almost seems like having power can be a disadvantage.

As counterintuitive as that may seem, it is often the case. Decades of research show that change follows an S-curve, meaning that it starts out slowly, hits an inflection point and then begins to accelerate exponentially. The same research shows that the inflection point is usually hit when the participation rate is between 10%-20%.

If you try to overpower, you will begin to draw resistance before you’ve hit the inflection point and your effort will likely be sabotaged before it ever gets off the ground. But if you quietly gain support, without doing a lot to draw attention from detractors, you’re less likely to incur resistance early on and will have a much better chance of reaching the inflection point.

When we begin to work with an organization on a transformational initiative, one of the first things we work on is building a recruiting strategy for the initial group. Often, they know exactly who to approach. Other times it’s not as obvious. One tactic that’s often effective is to create an introductory workshop and then wait to see who comes up afterward.

What’s most important is that you identify people who are enthusiastic about the change you want to see. They will be the ones who will help you get to that 10%-20% tipping point that unlocks a cascade.

Going To Where The Energy Is

Discussions about change tend to gravitate to one of two poles: Either change has to come from the top or it has to be grass roots. As I explain in Cascades, transformation isn’t top-down or bottom-up, but happens from side-to-side. You can find the entire spectrum—from active support to active resistance—at every level.

The answer doesn’t lie in any specific strategy or initiative, but in how people are able to internalize the need for change and transfer ideas through social bonds. The truth is that it is small groups, loosely connected, but united by a common purpose that drives transformation. Effective change leaders help those groups to connect and unite them with a sense of shared values and shared purpose.

What’s important is that you go to where the energy is, not try to create or maintain it by yourself. Go out and find those who are enthusiastic about change, who want it to work and will not only work to bring it about, but bring in others who can bring in others still. You need to recognize that the urge to persuade is a red flag. It usually means you have the wrong people or the wrong change.

Change never happens all at once and can’t simply be willed into existence. The best way to do that is to empower those who already believe in change to bring in those around them. That’s what’s key to successful transformations. A leader’s role is not to plan and direct action, but to inspire and empower belief.

— Article courtesy of the Digital Tonto blog
— Image credit: 1 of 1,450+ FREE quote posters available at http://misterinnovation.com

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Never Trust a Guru

Never Trust a Guru

GUEST POST from Greg Satell

In 2005 W. Chan Kim and Renée published Blue Ocean Strategy, which found that “blue ocean” launches, those in new categories without competition, far outperformed the shark-infested “red ocean” line extensions that are the norm in the corporate world. It was an immediate hit, selling over 3.5 million copies.

Bain consultants Chris Zook and James Allen’ published, Profit from the Core, around the same time. They found that firms that focused on their ”core” far outperformed those who strayed. For example, they warned that Amazon was putting itself from peril for expanding its business beyond books and predicted dire results.

Clearly, none of this makes sense. How can you both “focus on your core” and seek out “blue oceans?” It betrays logic that both strategies could outperform one another. Today, Amazon makes most of its money outside of books. Yes, new markets lack competitors, but they also lack customers. The truth is that most business research is surprisingly shoddy.

Cargo Cult Science

When Richard Feynman took the podium to give the commencement speech at CalTech in 1974, he told the strange story of cargo cults. In certain islands in the South Pacific, he explained, tribal societies had seen troops build airfields during World War and were impressed with the valuable cargo that arrived at the bases.

After the troops left, the island societies built their own airfields, complete with mock radios, aircraft and mimicked military drills in the hopes of attracting cargo themselves. It seems more than a little silly, and of course, no cargo ever came. Yet these tribal societies persisted in their strange behaviors.

Feynman’s point was that we can’t merely mimic behaviors and expect to get results. To illustrate what he meant, he told a story about going to a new-age resort where people were learning reflexology. A man was sitting in a hot tub rubbing a woman’s big toe and asking the instructor, “Is this the pituitary?” Unable to contain himself, the great physicist blurted out, “You’re a hell of a long way from the pituitary, man.”

What makes science real is not fancy sounding words or slick charts with numbers on them. Business gurus often boast of their “research” that consists of hundreds of case study interviews and large databases containing data on thousands of firms, but without the proper methods and controls, those things are meaningless.

The Problem With Case Studies

Organizations are often inscrutable and hard to research. That’s why the preferred mode of analysis is case studies in which insiders are interviewed and a particular situation is interpreted by investigators. These can be helpful, but they also have severe limitations.

First, with shareholders and customers to please, managers are rarely eager to talk about failures. So we usually only hear about successes. Those, of course, are important but also subject to survivorship bias. For example, if a risky strategy results in 1% of the firms being wildly successful and 99% going out of business, then we’ll tend to hear glowing accounts of that lucky 1% and we’ll miss the vast majority that flamed out.

Another issue with the case study method is that it is necessarily limited. When researchers did a case study on a company I used to run, to take just one example, they interviewed insiders (including me) and did their best to interpret what they heard and what they could glean from background information regarding the market.

While I don’t think anything was inaccurate, it wasn’t exactly the truth either. Only a handful of people were interviewed, almost all of them were concentrated in a single part of the business and none of them, besides me, were involved in making decisions. The issues presented in the case study simply weren’t the ones we were actually wrestling with.

The problem with case studies is that they offer little to no documentation. In more rigorous fields like, say, sociology or psychology, researchers are expected to share their data so that others can interpret it. Unfortunately, that’s rarely true in business research.

Working Around The Glitches In Our Brains’ Machinery

We tend to imagine that our minds are some sort of machines, recording what we see and hear, then storing those experiences away to be retrieved at a later time, but that’s not how our brains work at all. Humans have a need to build narratives. We like things to fit into neat patterns and fill in the gaps in our knowledge so that everything makes sense.

Psychologists often point to a halo effect, the tendency for an impression created in one area to influence opinion in another. For example, when someone is physically attractive, we tend to infer other good qualities and when a company is successful, we tend to think other good things about it.

The truth is that our thinking is riddled with subtle yet predictable biases. We are apt to be influenced not by the most rigorous information, but what we can most readily access. We make confounding errors that confuse correlation with causality and then look for information that confirms our judgments while discounting evidence to the contrary.

Unfortunately, so many of the popular management ideas today come from people who never actually operated a business, such as business school professors and consultants. These are often people who’ve never failed. They’ve been told that they’re smart all their lives and expect others to be impressed by their ideas, not to examine them thoroughly.

That’s why it’s so important to not to believe everything you think, there are simply too many ways to get things wrong and so few ways to get things right.

It’s More Important To Be Careful Than Smart

When I lived in Poland, a common aphorism advised that “life is cruel, and full of traps.” From an American perspective, the aphorism can be a bit of a culture shock. We tend to believe in the power of positivity, the American dream and the can-do spirit. Negativity can be seen as something worse than a weakness, both an indulgence and a privation at the same time.

Over the years, however, I came to respect the Poles’ innate suspicion. The truth is that we are far too easily fooled and taken in by those prey on the glitches in our cognitive machinery. Often business gurus have fooled themselves. They believe they have special powers of insight and get taken in by the glitches we all have in our mental machinery.

We get taken in because we want their claims to be true. We’d like to think that there is a secret we’re missing, that there’s a black magic that we’re not privy to and, if we prove our worth and obtain access to a few simple truths, we’ll capture the success that eludes us. Things can seem simple in a PowerPoint deck, but the truth is that the world is a messy place.

That’s why we need to train ourselves to ask the tough questions. What are we not seeing? What data is missing? What are alternative interpretations for the evidence being presented? It’s more important to be careful than smart. We can only make decisions on higher or lower levels of confidence. In the real world, there are no “sure things.”

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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Top 10 Human-Centered Change & Innovation Articles of July 2026

Top 10 Human-Centered Change & Innovation Articles of July 2026Drum roll please…

At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are July’s ten most popular innovation posts:

  1. What Happens When AI Becomes Your Customer? — by Shep Hyken
  2. The Experience Economy 2.0 — by Braden Kelley
  3. How to Calculate the ROI of Customer Experience — by Braden Kelley
  4. Strategic Foresight: A Practitioner’s Guide to Thinking About the Future — by Braden Kelley
  5. Innovation or Not — InTruth — by Braden Kelley
  6. Innovation Framework Examples: 7 Real-World Cases That Show How They Work — by Braden Kelley
  7. The Personal AI Renaissance — by Braden Kelley
  8. Your 3 Phase AI Journey — by Geoffrey Moore
  9. Why So Much Bullshit? — by Greg Satell
  10. Creating an Innovation Edge — by John Bessant

BONUS – Here are five more strong articles published in June that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Build a Common Language of Innovation on your team

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last five years:

Subscribe to Human-Centered Change & Innovation WeeklySign up here to get Human-Centered Change & Innovation Weekly delivered to your inbox every week.

Three Facts That Business Leaders Refuse to Accept

Three Facts That Business Leaders Refuse to Accept

GUEST POST from Greg Satell

In the late 90s Fortune magazine named Enron the most innovative company for six consecutive years, right up until the company collapsed in scandal. GE’s strategy of stack ranking was seen as a model to be emulated by other firms, even though there was no evidence it worked. McKinsey advised companies to fight a war for talent.

Today, we know better. It’s obvious that Enron was incredibly dysfunctional, that stack ranking undermines a high-performance culture and that talent is something that you build through upskilling, not something you “win” in a metaphorical war. It’s mind boggling to think of all the damage that was done before those ideas were exposed.

Yet if we accept all that we need to ask ourselves which ideas are widely accepted today that don’t hold water. Every era has its own fictions, things that are accepted because they are repeated, but lack any serious foundation. They become memes replicating themselves throughout the zeitgeist, rarely being questioned. Here are three truths that will surprise you.

1. Bigger Organizations Are More Innovative

We tend to think of innovation as something startups do. Big organizations, with their bloated bureaucracies and cumbersome decision making, are less nimble. Yet a recent book, Corporate Explorer, by Stanford professor Charles O’Reilly, Harvard Professor ​​Paul Lawrence and consultant Andrew Binns finds that larger firms have more resources, talent and ideas.

This may seem surprising, but there is ample evidence supporting the principle that larger enterprises innovate more effectively. A 1969 study of local health departments found that the larger ones serving larger communities were more innovative. A 1986 analysis of footwear manufacturers found that the bigger ones had more technical specialists and adopted more radical innovation. Same thing when researchers looked at German banks’ adoption of telecommunication services.

Clearly startups have advantages. They tend to be less bureaucratic and can make decisions faster. They are also less invested in incumbent systems and technologies, which makes change easier. Yet innovation isn’t just about speed, it’s also about commitment to solving important problems and larger enterprises have more resources and scope to do that.

That’s why when you look at the most cutting edge technologies, like quantum computing, artificial intelligence, materials science, synthetic biology and others, you tend to find large organizations at the core. Don’t get me wrong, not every big company can innovate, but the ones that can come up with new ideas and execute them consistently, year after year and decade after decade, are enterprises with scale.

2. Levels Of Bureaucracy And Hierarchy Are Increasing, Not Decreasing

About a decade ago, the management guru Gary Hamel wrote a highly cited article in Harvard Business Review entitled First, Let’s Fire All the Managers. He analyzed the success of Morningstar, a leading manufacturer of tomato products that operates with a flat management structure and called for other corporations to follow its lead.

“A hierarchy of managers exacts a hefty tax on any organization,” he wrote. “This levy comes in several forms. First, managers add overhead, and as an organization grows, the costs of management rise in both absolute and relative terms.” The article was very influential and helped bolster other flat models, such as Holacracy.

For a while now, management gurus have been advocating for flatter organizations, yet there is little evidence that eliminating managers is a viable model. In fact, when Wharton Professor Ronnie Lee took a close look at game software developers, he found that the number of levels of bureaucracy increased significantly, not decreased, over the last 50 years.

Certainly, the “flat organization” idea hasn’t caught on. “Since 1983, the size of the bureaucratic class—the number of managers and administrators in the US workforce—has more than doubled, while employment in other categories has grown by only 40%,” Hamil recently wrote.

The inescapable conclusion is that we’ve failed to do away with bureaucracies and hierarchies because they serve a useful purpose. While flatter structures can inspire creativity, we need hierarchies to execute complex operations well. That might not play well when your trying to sell consulting projects or on the keynote stage, but it’s the truth.

3. Markets Are Becoming Less Competitive, not More (At least in the US)

Today it’s become an article of faith that everything moves faster. Business pundits tell us that we’re living in a VUCA world (Volatile, Uncertain, Complex and Ambiguous). These are taken as basic truths that are beyond questioning or reproach. Yet are things actually moving any faster than in earlier eras? The evidence is surprisingly scarce.

The data, however, tell a very different story. A report from the OECD found that markets, especially in the United States, have become more concentrated and less competitive, with less churn among industry leaders. The number of young firms have decreased markedly as well, falling from roughly half of the total number of companies in 1982 to one third in 2013.

A comprehensive 2019 study from the National Bureau of Economic Research found two correlated, but countervailing trends: the rise of “superstar” firms and the fall of labor’s share of GDP. Essentially, the typical industry has fewer, but larger players. Their increased bargaining power leads to more profits, but lower wages.

The truth is that we don’t really disrupt industries anymore. We disrupt people. Economic data shows that for most Americans, real wages have hardly budged since 1964. Income and wealth inequality remain at historic highs. Anxiety and depression, already at epidemic levels, worsened during the Covid-19 pandemic.

What You See Is How You’ll Act

When ideas are repeated often enough, we begin to take them as self-evident and don’t even question them. People take it for granted that small organizations are more innovative than larger ones, that flatter organizations outperform those with high levels of bureaucracy and that business is more competitive today than in earlier eras.

If you believe all that, then you would avoid getting involved with a large organization if you want to innovate, you would try to eliminate levels of hierarchy and create a high sense of urgency about everything you do. Yet when you examine the evidence it becomes clear that none of these things are factual.

The truth is that size has little to do with innovation. As we saw during Covid, the most pathbreaking advances came from collaborations between organizations, public and private, large and small. The levels of hierarchy in an organization aren’t nearly as important as its networks. Pushing too many initiatives is more likely to result in a high level of change fatigue and diminished mental health than lead to genuine results.

When we look back at earlier eras, it’s easy to see the errors in the zeitgeist. It seems obvious that the robber barons undermined society, that excessive tariffs during the depression would impoverished society and that Enron was a fraud. Yet we need to look with the same skeptical eye at prevalent beliefs today.

As Richard Dawkins has explained, memes are selfish. They propagate themselves for their own benefit, not necessarily for ours. We need to learn to be fiercer advocates for our fates.

— Article courtesy of the Digital Tonto blog
— Image credit: Pexels

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You Need a Strategy Not a Slogan to Overcome Resistance to Change

You Need a Strategy Not a Slogan to Overcome Resistance to Change

GUEST POST from Greg Satell

When we’re passionate about an idea, we want others to see it the same way we do, with all its beautiful complexity and nuance. We want to believe that if others can just understand it, they will embrace it. That’s why most change management practices focus on persuasion, explaining the need for change and creating a sense of urgency.

But consider recent research that finds that we can’t even agree on simple concepts such as what a penguin is and it becomes clear that for any given initiative, people are bound to see it differently. The simple truth is that change doesn’t fail on its own, it fails because people resist it. If we are to bring about genuine change, our first job is to overcome that resistance.

We need to internalize that humans form attachments to people, ideas and other things and, when those attachments are threatened, we act in ways that don’t reflect our best selves. Every change strategy has to begin with that. Clever gimmicks or snappy slogans won’t bring about true transformation. We have to build a strategy to overcome resistance from the start.

First, Follow The Energy

There’s something about human nature that, when we’re really excited about an idea, makes us want to go convince the skeptics. That’s almost always a bad idea. A much better strategy is to start with people who are enthusiastic about your change, who want it to succeed. They can help you strengthen it and spread it to others, who can spread it further still.

For example, in his efforts to reform the Pentagon, Colonel John Boyd began every initiative by briefing a group of collaborators he called the “Acolytes,” who would help hone and sharpen the ideas. He then moved on to congressional staffers, elected officials and the media. By the time general officers were aware of what he was doing, he had built up too much support to ignore.

In a similar vein, a massive effort to implement lean manufacturing methods at Wyeth Pharmaceuticals began with a single team at one factory, but grew to encompass 17,000 employees across 25 sites worldwide and cut manufacturing costs by 25%. The campaign that overthrew Serbian dictator Slobodan Milošević started with just 5 kids in a coffee shop.

One advantage to starting small is that you can identify your apostles informally, even through casual conversations. In skills-based transformations, effective change leaders often start with workshops and see who seems enthusiastic or comes up after the session. Your apostles don’t need to have senior positions or special skills, they just have to be passionate.

“You have to go where the energy is,” John Gadsby, who built a movement for process improvement inside Procter & Gamble that has grown to encompass 60,000 employees, told me. “We’ll choose energy and excitement and enthusiasm over the right position, or the person at the right leadership level, or the person whose job it is supposed to be to do that.”

Identify Shared Values

Humans naturally form tribes. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out-group members. Similar results were found in a study involving five year-old children and even in infants. Evolutionary psychologists attribute this tendency to kin selection, which explains how groups favor those who share their attributes in the hopes that those attributes will be propagated.

So it’s natural that when we feel passionately about an idea, we want to focus on how it’s different, to create our own tribe. For example, the Agile Manifesto has inspired fierce devotion and helped build a vibrant community around Agile product development. So it shouldn’t be surprising that when evangelists try to attract others to the movement, it’s the Agile Manifesto that they want to emphasize.

Yet for those outside the Agile development community, its principles can seem strange and impractical. It emphasizes adaptability over planning which can appear to be chaotic for those who are used to a more traditional approach. If you want to bring in new people, it’s better to focus on shared values, such as the ability to produce better quality projects faster and cheaper.

One of the biggest challenges in driving transformation is that while differentiating values make people excited about an idea, it is shared values that help build genuine and widespread support. That doesn’t mean you abandon or water down your beliefs. It just means that you need to meet people where they are, not where you wish them to be.

Design A Dilemma Action

Unfortunately, building a shared purpose isn’t always possible. Whenever we set out to make a significant impact you are bound to get pushback, not for any rational logic, necessarily but because, for whatever reason, but because for whatever reason, it offends some people’s dignity, their identity, their sense of self. A simple truth is that we all form irrational attachments and when those are threatened, we tend to act out in ways that don’t reflect our best selves.

When that happens — and it always does eventually — we can get sucked into a conflict, which will likely take us off course and discredit what we’re trying to achieve. Yet, here too, developing empathy skills to identify shared values can be extremely helpful. They can help us to design a dilemma action, which puts the opponents into an impossible position.

Dilemma actions have only recently become an active area of research, but have been used by practitioners for at least a century — famous examples include Gandhi’s Salt March, King’s Birmingham Campaign and Alice Paul’s Silent Sentinels. They are just as effective in an organizational context, using an opponent’s resistance against them.

One of the great things about dilemma actions is that you approach them exactly the same way you approach building allies — by identifying a shared purpose. Once you do that, you can design a constructive act rooted in that shared purpose that advances your agenda. Your opponent then has a choice: they can disrupt the act and violate the shared value or they can let it go forward and let change progress.

For example, I was once leading a transformation project that was being impeded by a sales director hogging accounts. Although it was agreed that she would distribute her clients, she never got around to it, so I set up a meeting with a key account and one of our salespeople. When she tried to disrupt the meeting, she violated the shared value we had established, was dismissed from her position and everything fell into place after that.

Planning To Survive Victory

Many change leaders assume that once they win an initial victory that everything will get easier after that. They work for months — and sometimes years — to get a project off the ground. Yet just when they think they’re turning the corner, when they’ve won executive sponsorship, signed up key partners and procured enough financing to have a realistic budget, all the sudden things seem to get mired down.

That’s no accident. Just because you’ve won a few early battles doesn’t mean opposition to your idea melts away. On the contrary, faced with the fact that change may actually succeed, those who oppose it have probably just begun to redouble their efforts to undermine it. These efforts are often not overt, but they are there and can easily derail an initiative.

As Saul Alinsky once put it, every revolution inspires its own counterrevolution. That’s why every change effort must plan from the beginning to survive victory. You need to anticipate resistance, think about where you’re vulnerable and how you’ll mitigate those attacks by leveraging shared values.

The truth is that change is always a journey, never a particular destination, which is why lasting change is always built on the common ground of shared values. The answer doesn’t lie in any specific strategy or initiative, but in how people are able to internalize the need for change and transfer ideas through social bonds. A leader’s role is not necessarily to plan and direct action, but to inspire and empower belief.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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What Is Digital Transformation?

What Is Digital Transformation?

by Braden Kelley and Art Inteligencia


What Is Digital Transformation? (Short Answer)

Digital transformation is the redesign of how an organization creates and delivers value, using digital technology and data, with customers and employees at the center. It is not scanning a paper form or swapping an old system for a newer one. Strategic choices and the capabilities people need come first. Technology comes at the end.

A software go-live is not a digital transformation. If the work, the incentives, and the experience are unchanged, you digitized the old business.

Below you’ll find what digital transformation is not, how it differs from digitization and digitalization, what a real program includes, the order of the work, and how to tell a transformation from a technology project. I first took this apart on camera in What Is Digital Transformation? (Ask the Consultant) – shown below.

A shorter glossary definition lives at the Digital Transformation Glossary. This is the full answer.

What Is Digital Transformation Not?

A lot of published definitions describe a technology swap. One common version says digital transformation is replacing manual or older digital processes with newer digital ones. That is closer to an upgrade. Another says it is integrating digital technology into every part of the business and changing the culture. That gets nearer, and still starts in the wrong place: the technology.

Digital transformation is the journey from how you operate now to a reimagined version of the same business — the version you would build if you were starting today, with current technology and a clearer understanding of customers, employees, decisions, and experience. It only works when customers and employees are at the center, and when you simplify work instead of paving over complexity with a new interface.

If the definition you are using could be satisfied by a vendor invoice, it is not a definition of transformation.

What Is the Difference Between Digitization, Digitalization, and Digital Transformation?

Term What changes Example
Digitization The format of information: analog becomes digital A paper form becomes a PDF
Digitalization A process uses digital tools, often faster, still the same job People apply online instead of mailing the form, and the approvals behind it stay the same
Digital transformation How value is created: the offering, the experience, the operating model, and the capabilities required The organization stops making people assemble the answer themselves and designs a simpler way to finish the job, then builds the technology that makes that way real

Digitization and digitalization can be worth doing. They are not transformation. A faster version of a broken process is still a broken process, and it now fails at higher speed.

What Does a Digital Transformation Include?

A transformation that sticks has four layers. Leave one out and you have a project with a large name.

  1. Strategy and experience. Who you serve, what job they are trying to get done, and what “better” means for customers and employees — not only for the architecture diagram.
  2. Operating model. Decisions, roles, handoffs, incentives, and who owns the new way after the program office leaves.
  3. Data and intelligence. The information the new way of working actually needs, shared with the people who use it, not trapped in a pilot spreadsheet.
  4. Technology. The systems that serve the design above. Necessary, and last in the sequence, not first in the story.

The people layer runs through all four. Change management is how you prepare, equip, and support people so the objectives are met in behavior. Without it, the other layers are a specification.

What Comes First in a Digital Transformation?

Start with choices, not tools.

  1. Choose the future business. Which experiences, offers, and ways of working are you willing to replace?
  2. Name the capabilities. What must leaders, employees, and partners be able to do that they cannot do reliably today?
  3. Design the human path. Where does the job start and end for a customer and for an employee? What becomes easier, and what old path has to die?
  4. Then select technology that fits that design, including the data and integration the design requires.

Putting customers and employees at the center is not a slogan added to a platform decision. It is how you decide which platform is even relevant. I walk through why promising pilots still stall when this order is reversed in 9 Reasons Digital Transformations Stall After the Pilot.

Technology comes at the end of a digital transformation, not the beginning.

How Do You Know It Is Transformation and Not a Technology Project?

  • Customers or employees can finish an important job in a way they could not before — not only log into a new screen.
  • Decisions, incentives, or ownership changed, not only the software.
  • The old path is being retired on purpose, not kept as a courtesy that makes adoption optional.
  • Success is judged by adoption and outcomes, not by go-live.
  • The program can explain the strategic choice it serves in one sentence a frontline employee would recognize.

If those are missing, call it digitization or a system replacement. The smaller name is more honest, and it keeps the word transformation for work that actually changes how value is created.

Ready to Take the Next Step?

A digital transformation fails as a human change long before it fails as a technology choice. The people who must live the new way need a plan they can see, sponsors with authority, and a path from the old work to the new.

See the methodology. Explore Human-Centered Change™, my visual, collaborative approach to planning change so the people who must live it can see the whole effort and adopt the new way.

Get the toolkit. Read Charting Change, my practical guide to Human-Centered Change™, built around the Change Planning Canvas™ and 70+ visual tools for getting everyone on the same page.

Name the transformation by the value it creates for people. Then plan the change that makes that value real.

FAQ: What Is Digital Transformation?

What is digital transformation in simple words?

Digital transformation is redesigning how an organization creates and delivers value, with digital technology in service of that redesign. Customers and employees stay at the center. A new system alone is not a transformation.

What is the difference between digitization and digital transformation?

Digitization converts information from analog to digital, such as turning a paper form into a PDF. Digital transformation changes how the organization creates value — the experience, the operating model, and the capabilities — and uses technology to make that new way real.

What is an example of digital transformation?

An example is redesigning a service so customers can finish the job without assembling the answer themselves, changing the roles, decisions, and incentives behind that service, and only then implementing the systems and data that support it. Moving the same form online is digitalization, not transformation.

Why do digital transformations fail?

They fail when leaders treat a technology install or a successful pilot as the transformation. Work, ownership, incentives, and the old path stay the same, so people never adopt a new way of creating value. The failure shows up in the operating model and in human adoption.

Does digital transformation start with technology?

No. It starts with strategic choices about the business you are becoming, the capabilities people need, and the experience customers and employees should have. Technology is chosen to serve that design. It comes at the end, not the beginning.

Image credits: Dall-E

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Cursor to clean up the article, add images and create infographics.

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Why Are What We Know and What We Do Often So Different?

Why Are What We Know and What We Do Often So Different?

GUEST POST from Greg Satell

In 1988, a young management student named John Krafcik published an article in MIT’s Sloan Management Review entitled, Triumph of the Lean Production System. Based on his study of 90 manufacturing plants in 20 countries, it argued that manufacturing could be made vastly more productive, while improving quality at the same time.

These methods would grow into the lean manufacturing movement and their effectiveness has been well documented. Krafcik himself went on to have a successful career in the auto industry, taking over Google’s self-driving division, Waymo, in 2016. There is an amazingly strong case for manufacturers to adopt lean methods.

Yet surprisingly few do. In fact, a recent survey found that less than 15% of manufacturers have adopted lean methods. This dilemma is much more common than you’d think. We’ve been conditioned to believe that a good idea, once proven out, will prevail in the marketplace, but that’s not really true. There is often a large gap between what we know and what we do.

A New World Of Work

Clearly the world of work has changed. When I began professional life in the mid-90s, laptops were still new and few people had access to the Internet. Work was something you did in your office. We largely communicated by phone and memos typed up by secretaries. Data analysis was something you did with a pencil, paper and a desk calculator.

Today, on the other hand, work is largely something we do with each other. We are increasingly collaborating in teams and our work has become more social and less cognitive. For example, the journal Nature noted that the average scientific paper today has four times as many authors as one did in 1950 and the work they are doing is far more interdisciplinary.

The truth is that we spend most of our time in meetings, collaborating with colleagues to solve problems, rather than working alone in our offices to execute tasks. Perhaps not surprisingly, there has been no shortage of concepts developed, such as psychological safety, agile development and diversity & inclusion policies, designed to help us succeed and prosper in this new world of work.

Yet much like with lean manufacturing, the reality of most workplaces rarely reflects the pundits’ rhetoric. The reason for this is simple. The status quo has inertia on its side and that is an incredibly powerful force. Change takes effort and is often disruptive. The costs are clear and present while the benefits can seem distant and remote.

The New, New Economy

In 1982, when Steve Jobs was trying to lure John Sculley from Pepsi to Apple, he asked him, “Do you want to sell sugar water for the rest of your life, or do you want to come with me and change the world?” The ploy worked and Sculley became the first CEO of a major conventional company to join a Silicon Valley startup.

Yet since then, besides for a relatively short period between 1996 and 2004, labor productivity has remained depressed, except during recessions when businesses cut workers. At the same time, income inequality has increased and business has become less dynamic, with fewer startups and less churn among market leaders. I don’t think those are the changes Jobs was talking about.

It seems amazing that given all of the technological progress, including mobile and cloud computing, artificial intelligence and Industry 4.0 manufacturing technologies, that so little has been accomplished, but in their recent book, Power and Progress, economists Daron Acemoglu and Simon Johnson argue that market and technological forces, if left to their own devices, tend to favor elites rather than society as a whole.

We can’t simply leave our fates to the impersonal whims of market and technological forces. The historical record shows that innovations that displace workers do not necessarily make us better off. In fact, we have strong reasons to suspect that many of these technologies impoverish our society and corrode our culture.

Technology and markets were created by humans to serve people. That is their purpose and should be, by any reasonable analysis, the measure of their value. We need to take a hard look at the last 30 years and ask how we’re better off, how we’re worse off, what we need to do differently and how we can forge a better path.

The End Of History?

In 1989, just before the fall of the Berlin Wall, Francis Fukuyama published an essay in the journal The National Interest titled The End of History, which led to a bestselling book. Many took his argument to mean that, with the defeat of communism, US-style liberal democracy had emerged as the only viable way of organizing a society.

He was misunderstood. His actual argument was far more nuanced and insightful. After explaining the arguments of philosophers like Hegel and Kojeve, Fukuyama pointed out that even if we had reached an endpoint in the debate about ideologies, there would still be conflict because of people’s need to express their identity.

Humans tend to build stories that support our notions of who we think we are. If you work hard at your job, new ideas about lean manufacturing or agile development can seem like an affront. In much the same way, entrepreneurs like to think that their businesses have social value and the denizens of the tech universe like to think that their code changes the world.

If you believe that the forces of history are on your side, pursuing your path seems like a calling and an obligation. The benefits you receive are just more proof that you are headed in the right direction and whatever costs that are incurred by others may seem like mere table stakes to be paid for the price of progress.

That’s why tech billionaires write silly manifestos and politicians are able to fleece them for outrageous amounts of money. It is not enough to earn a good living and live in comfort. People have a need to be recognized and they will cling to the the identity they have built for themselves. Asking them to change can often seem more than a simple shift in behavior, but an affront to who they are.

Dismantling the Cult of Inevitability

We’d like to think that if something is a good idea, can be proven to work, improve performance and make people’s lives better, that market and technological forces will somehow make it inevitable. Unfortunately, the history of the last half century makes it clear that’s not true. Most people in developed countries are worse off than a generation ago.

Yes it’s true that our TV’s have gotten better and we have infinitely more channels. We carry supercomputers around in our pockets that give us unprecedented access to information and emerging services like ChatGPT give us almost superhuman powers to process it. Yet the cost of basics, such as housing, healthcare and education have impoverished us.

This wasn’t inevitable. Consider that in the US per capita GDP has nearly doubled since 1985 but median household income has risen only 27% and you begin to see the problem. In my work with organizational transformation it is clear that similar forces are at work in the corporate world. For all the talk about disruption and change, the status quo usually prevails.

We need to be more cognizant of the stories we tell ourselves. We have a primal need to be the heroes in our own narratives, to tell ourselves that we are on the right path while others are just fooling themselves, to look for information that confirms our choices and neglect evidence to the contrary. It is not a character flaw, but a reality of human nature.

Ironically, it is through awareness of our failings that can help us overcome them. Decades of research show that shifts in knowledge and attitudes don’t necessarily result in changes in behavior. Once we know that we can be more vigilant and hold ourselves to a higher standard. What we know and what we do are two different things, but with effort we can narrow the gap.

— Article courtesy of the Digital Tonto blog
— Image credit: Unsplash

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Don’t Underestimate the Power of Identity

Don't Underestimate the Power of Identity

GUEST POST from Greg Satell

In the 1990s, western-style liberal democracy was triumphant. The Berlin Wall had fallen and the Cold War had been won. Teams of diplomats and consultants rushed to spread the Washington Consensus, an agreed upon set of reforms that poor countries were pressured to undertake by their richer brethren.

Francis Fukuyama noted at the time that we had reached an endpoint in history, when one model had achieved dominance over all others. Yet even as he laid out the rational case, he invoked the ancient Greek concept of thymos, or “spiritedness,” to warn that even at the end of history, there would be some who would insist on going their own way, no matter the consequences.

That’s why any change, even if provably good, noble and just, will inevitably incur resistance. It’s a simple truth that humans form attachments to people, ideas and other things and, when those attachments are threatened, we see it as an outright attack on our identity and lash out. That’s why identity needs to be at the center of any change strategy, if it is to succeed.

Triggering Resistance

Imagine this scene. You are in a meeting to discuss a proposal. There is an active discussion and, over the course of an hour, the group steadily moves toward a consensus. Then, as you’re moving on to discuss next steps and close the meeting, somebody who hadn’t spoken up during the entire hour suddenly has a hissy fit and melts down in the middle of the conference room.

Let’s think about what happened underneath the surface. When the idea was initially proposed, that person had such a visceral reaction to it that they couldn’t even articulate why they were so against it. Nevertheless, being such a disastrous idea in their eyes, they were sure it would get derailed along the way. When that didn‘t happen, it triggered an explosion.

There’s a couple of things that we can take away from this. The first is that it was the initial success of moving to next steps that triggered them and their inappropriate reaction pretty much assured that the proposal would move forward. So one way of dealing with resistance is to quietly build traction. If you can resist the urge to engage or attack your opposition directly, they will eventually feel the need to lash out and discredit themselves.

Another important point to consider is that people rarely melt down in conference rooms. Usually, they hold their composure and then go quietly sabotaging the idea in the hallways. Your most active opposition are usually not the ones voicing concerns. Most often, they find more surreptitious ways of undermining an initiative.

Shifting Identities

Just because people build attachments doesn’t mean that they need to be permanent aspects of their identity. In Immunity to Change, Harvard’s Robert Kegan and Lisa Lahey, discuss their decades of research into how people build competing commitments based on how they see themselves. Their work shows that greater self awareness can break the spell.

For example, “David” was a senior leader who had taken on greater responsibility and desperately needed to delegate. As much as he saw how important it was for him to hand off projects and give more autonomy to his people, he just couldn’t bring himself to do it. It was almost as if he was actively sabotaging his own objective.

As it turned out, David had a somewhat hardscrabble upbringing and identified himself as a “hands on” manager. It was important for him to do “real work” and not just be “overhead.” So every time he tried to delegate, it felt like he was getting away from his hardworking roots and becoming something he didn’t want to be.

The problem was solved once David saw that the change he needed to undertake involved his own identity. He began to see another role for himself, that of an enabler and a coach, empowering his people. He was able to see their accomplishments as his own. It didn’t happen automatically—it took real work—but it can be done.

Designing A Dilemma

I once had a six-month assignment to restructure the sales and marketing operations of a troubled media company and the sales director was a real stumbling block. She never overtly objected, but would just nod her head and then quietly sabotage progress. For example, she promised to hand over the clients she worked directly with to her staff, but never seemed to get around to it.

It was obvious that she intended to slow-walk everything until the six months were over and then return everything back to the way it was. As a longtime senior employee, she had considerable political capital within the organization and, because she was never directly insubordinate, creating a direct confrontation with her would be risky and unwise.

So rather than create a conflict, I designed a dilemma. I arranged with the CEO of a media buying agency for one of the salespeople to meet with a senior buyer and take over the account. The sales director had two choices. She could either let the meeting go ahead and lose her grip on the department or try to derail the meeting. She chose the latter and was fired for cause. Once she was gone, her mismanagement became obvious and sales shot up.

Dilemma actions have been around for at least a century. One early example was Alice Paul’s Silent Sentinels, who picketed the Woodrow Wilson’s White House with his own quotes in 1917. More recently, the tactic has been the subject of increasing academic interest. What’s becoming clear is that these actions share clear design principles that can be replicated in almost any context.

Key to the success of a dilemma action is that it is seen as a constructive act rooted in a shared value. In the case of the Sales Director, she had agreed to give up her accounts and setting up the meeting was aligned with that agreement. That’s what created the dilemma. She had to choose between violating the shared value or giving up her resistance.

Creating A Larger, Integrated Identity

Our identity and sense of self drives a lot of what we see and do, yet we rarely examine these things because we spend most of our time with people who are a lot like us, who live in similar places and experience similar things. Our innate perceptions and beliefs seem normal and those of outsiders strange, because our social networks shape us that way.

That’s why we often see so much resistance to change. People get invested in the status quo. They work within it, follow its rules and achieve some things. Those achievements become part of their identity and to reject the means in which their present self arose is, in some sense, to reject a part of themselves.

Yet our identities aren’t fixed. They grow and evolve over time. We routinely choose to add facets to our identity, while shedding others, changing jobs, moving neighborhoods, breaking off some associations as we take on others. “Identity can be used to divide, but it can and has also been used to integrate,” Francis Fukuyama wrote in his book on the subject.

It is at this nexus of identity and purpose that creativity and innovation reside, because when we learn to collaborate with others who possess knowledge, skills and perspectives that we don’t, new possibilities emerge to achieve greater things. To make that possible, however, we need to support the identities of those around us, so that we can build the shared purpose upon which we can build a shared future.

— Article courtesy of the Digital Tonto blog
— Image credit: Unsplash

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