Contents
- 1 The Overuse of the Word “Culture”
- 2 What Does “Culture” Actually Mean?
- 3 Culture Can Change Faster Than We Think
- 4 The Importance of a Defined Use Case
- 5 Defined vs. Experimental Deployments
- 6 How Does Awareness Spread?
- 7 Is Culture Really the Barrier?
- 8 Tactics for Overcoming Cultural Resistance
- 9 Measuring Results
- 10 Gathering Employee Feedback
- 11 Final Insight: Culture Is Self-Selecting
- 12 Core Conclusion
The Overuse of the Word “Culture”
In Enterprise 2.0 discussions, the word “culture” is used constantly.
It’s often cited as the key factor in determining whether a company is ready for social software.
At a high level, this makes sense:
If leadership believes, “When I want your opinion, I’ll give it to you,” the company isn’t culturally ready.
However:
Most modern companies already recognize employees as valuable assets.
So “culture” as an explanation is often too vague.
What Does “Culture” Actually Mean?
When people say culture is a barrier, they may really mean:
Employees hoard information to protect career advantage.
The workplace is competitive rather than collaborative.
There are varying degrees of readiness across organizations.
The author questions:
How much can entrenched company culture really be changed?
Are cultural barriers overstated?
Culture Can Change Faster Than We Think
Unlike society, company culture can shift quickly because:
Senior executives can mandate change.
Employees depend on paychecks.
Performance evaluations influence behavior.
Important point:
Relying only on viral, organic adoption isn’t enough.
But relying only on force isn’t ideal either.
Employee behavior can be redirected for legitimate business reasons.
The Importance of a Defined Use Case
The first critical question:
Is there a defined use case?
Why this matters:
If software supports specific tactical tasks → cultural resistance decreases.
If it competes with existing tools (email, SharePoint, shared drives, portals) without a defined purpose → it likely fails.
Example (wikis):
Success case:
A real project is run exclusively in the wiki.
People know why they’re using it.
They experience benefits firsthand.
Failure case:
No clear purpose.
Just another tool in the stack.
Key takeaway:
Use cases must be real, not artificial test scenarios.
Defined vs. Experimental Deployments
A) Defined Use Case Deployment
Sponsored by a senior manager.
High visibility.
Access to resources.
Leadership attention.
Accountability exists.
B) Experimental Deployment
No strong management sponsorship.
Driven by evangelists and early adopters.
Lower visibility.
Harder to overcome inertia.
More likely to run into “cultural” issues.
How Does Awareness Spread?
When Senior Management Is Involved
Internal communications kick in:
Email announcements
Intranet posts
Posters
Videos
Meetings
Contests
Organizational infrastructure amplifies visibility.
In Experimental Deployments
Awareness spreads informally:
Small pilot groups
Evangelists sending emails
Meetings
Exclusive invitations
Viral strategies may work (e.g., Yammer adoption examples).
But momentum is harder to build.
Is Culture Really the Barrier?
Once people try the software, the real question is:
Are they continuing to use it?
Is it helping them do their jobs?
Often, “culture” may just mean:
Employees prefer existing tools and habits.
There’s no compelling reason to change.
Key insight:
At work, motivation is extrinsic.
Employees need a strong, practical reason to switch tools.
Tactics for Overcoming Cultural Resistance
A) For Deployments with Defined Use Cases & Executive Support
1. Remove Alternatives
Eliminate old systems.
Force use of the new platform.
Example: Deleting emails after 45 days to push wiki adoption.
Highly effective but heavy-handed.
2. Storytelling
Leaders articulate:
The vision
The future state
Benefits and opportunities
Employees need a clear picture of what success looks like.
3. Incentives
Leaderboards
Recognition
Rewards
Participation included in performance reviews
4. Executive Reminders
Clear expectations.
Strong follow-ups.
Direct management pressure.
B) For Experimental Deployments
Harder because formal levers are limited.
1. Model Behavior
Leaders use the platform consistently.
Share wiki links instead of attachments.
Turn off old channels when possible.
Bottom-up version of “remove alternatives.”
2. Create & Reinforce Use Cases
Identify practical ways the tool can be used.
Continuously remind employees of these examples.
Develop new ones over time.
3. Attract a Senior Sponsor
Gain interest from a senior manager after launch.
Increased awareness.
Boost in credibility and motivation.
Measuring Results
A) With a Defined Use Case
Easy to evaluate.
Clear job the software was meant to do.
Compare performance to the previous process.
Benchmark measurable results.
B) In Experimental Deployments
Results measured through:
Success stories
Faster turnaround times
Better connections
Problems solved
Anecdotes become building blocks of ROI.
Gathering Employee Feedback
If results are positive, gather employee perceptions:
Employees are asked about:
User experience
What they liked
Overall usefulness
Interest in future use
Vendor satisfaction
Suggested improvements
This feedback:
Reveals cultural attitudes.
Helps determine whether to fully adopt the software.
Final Insight: Culture Is Self-Selecting
At a macro level:
Command-and-control companies don’t pilot social software.
In that sense, culture determines initial openness.
However:
Once a company pilots social software,
Blaming failure on “culture” is often misleading.
More likely causes of failure:
No defined use case.
No compelling reason to change.
Lack of leadership support.
Core Conclusion
Stop blaming culture.
If the company is trying social software:
Either define a real use case and commit,
Or don’t try at all.
As Yoda said:
“Do. Or do not. There is no try.”
