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The Culture Is Only As Good As The Leader

The Culture Is Only As Good As The Leader | Behavior, People and Organizations | Scoop.it

 A company’s culture is obvious from the moment you step through the front door. Whether it’s a highly professional insitution, a disruptive start-up, or an old traditional organization, you can feel its energy and style.

 


Via Jean-Philippe D'HALLUIN, Bobby Dillard
Terence R. Egan's insight:

 

[KEY POINTS in Plain English]

 

There’s a misunderstanding that employees create a company’s culture — for example: how they dress, how they do business and how they communicate. If you observe a company’s employees, it is easy to think they’re both the result and the creators (cause)  of the culture.

 

But Leadership is the real foundation of any organization's culture.

 

The leader is the visionary who sets the direction and style of the company’s personality. The leader creates internal culture through the people s/he hires, the information s/he provides and the resources s/he makes available.

 

Leadership ultimately (finally) determines the culture of a company. The leader develops it and maintains it — whether it is good or bad.

 

But if you’re the creator of an unhealthy culture, you can also be its cure.

 

[Or, is it better to hire a new, transformational leader to implement  the required change?]

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Jean-Philippe D'HALLUIN's curator insight, October 30, 2013 4:50 PM

From article : A company’s culture grows, in many ways, from the top down. Leadership is the real root of any organization — the vital source from which all energy, vision, values and style manifest themselves

Kudos's curator insight, October 31, 2013 5:25 PM

If you do not set the tone for the cuture it will take on a life of its own and maybe become something you did not want. Been there, turst me. 

Christina Chen's curator insight, November 29, 2013 7:54 AM

Good article!

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Science Magazine: Sign In

CONCLUSIONS. The biases and issues highlighted above will not affect all research in the same way. Well-reasoned judgment on the part of authors, reviewers, and editors is warranted here. Many of the issues discussed have well-known solutions contributed by other fields such as epidemiology, statistics, and machine learning. In some cases, the solutions are difficult to fit with practical realities (e.g., as in the case of proper significance testing) whereas in other cases the community simply has not broadly adopted best practices (e.g., independent data sets for testing machine learning techniques) or the existing solutions may be subject to biases of their own. Regardless, a crucial step is to resolve the disconnect that exists between this research community and other (often related) fields with methods and practices for managing analytical bias.


Social media for large studies of behavior
Derek Ruths, Jürgen Pfeffer

Science 28 November 2014:
Vol. 346 no. 6213 pp. 1063-1064
http://dx.doi.org/10.1126/science.346.6213.1063



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tom cockburn's curator insight, November 30, 2014 5:26 AM

Seems a sensible conclusion regarding big data

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