The puzzle of motivation | Dan Pink | TED

11,813,095 views ・ 2009-08-25

TED


Please double-click on the English subtitles below to play the video.

Prevodilac: Ivana Korom Lektor: Radica Stojanović
Moram odmah na početku nešto da priznam.
00:13
I need to make a confession at the outset here.
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00:15
A little over 20 years ago, I did something that I regret,
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Nešto pre dvadeset godina
uradio sam nešto zbog čega žalim,
00:21
something that I'm not particularly proud of.
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nešto na šta nisam posebno ponosan,
00:25
Something that, in many ways, I wish no one would ever know,
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nešto za šta sam se nadao da, zbog mnogo čega, niko neće saznati,
00:28
but here I feel kind of obliged to reveal.
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ali ovde nekako osećam obavezu da kažem.
00:31
(Laughter)
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(smeh)
00:34
In the late 1980s,
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Kasnih osamdesetih,
00:36
in a moment of youthful indiscretion,
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u trenutku mladalačke nerazboritosti,
00:39
I went to law school.
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upisao sam pravni fakultet.
00:40
(Laughter)
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(smeh)
00:45
In America, law is a professional degree:
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U Americi, to je profesionalni nivo.
00:48
after your university degree, you go on to law school.
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Završite fakulktet. Onda idete na pravne studije.
00:50
When I got to law school,
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I kada sam dospeo do prava,
00:53
I didn't do very well.
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nije mi baš dobro išlo.
00:55
To put it mildly, I didn't do very well.
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Da to ublažim, nije mi dobro išlo.
00:57
I, in fact, graduated in the part of my law school class
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Ustvari, diplomirao sam u klasi
01:00
that made the top 90% possible.
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koja je omogućila postojanje najboljih 90%.
01:04
(Laughter)
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(smeh)
01:08
Thank you.
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Hvala.
01:10
I never practiced law a day in my life;
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Nisam se uopšte bavio pravom u životu.
01:14
I pretty much wasn't allowed to.
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Uglavnom mi nije bilo dozvoljeno.
01:16
(Laughter)
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(smeh)
01:19
But today, against my better judgment,
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Ali danas, uprkos svom zdravom razumu,
01:22
against the advice of my own wife,
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uprkos savetu sopstvene žene,
01:25
I want to try to dust off some of those legal skills --
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želim da probam da skinem paučinu sa tih pravničkih veština
01:29
what's left of those legal skills.
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ili s toga šta je od njih ostalo.
01:31
I don't want to tell you a story.
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Ne želim da vam ispričam priču.
01:34
I want to make a case.
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Želim da predstavim slučaj.
01:36
I want to make a hard-headed,
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Želim da predstavim realan, na dokazima zasnovan,
01:38
evidence-based,
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01:40
dare I say lawyerly case,
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usuđujem se da kažem advokatski slučaj,
01:43
for rethinking how we run our businesses.
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o preispitivanju načina na koji poslujemo.
01:47
So, ladies and gentlemen of the jury,
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Dakle, dame i gospodo porotnici, pogledajte ovo.
01:49
take a look at this.
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01:51
This is called the candle problem.
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Ovo se naziva problem sa svećom.
01:53
Some of you might know it.
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Neki od vas su ga možda i videli ranije.
01:55
It's created in 1945
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Osmislio ga je, 1945.,
01:57
by a psychologist named Karl Duncker.
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psiholog po imenu Karl Dunker.
01:59
He created this experiment
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Karl Dunker je osmislio ovaj eksperiment
02:01
that is used in many other experiments in behavioral science.
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koji se koristi u raznovrsnim eksperimentima u naukama o ponašanju.
02:04
And here's how it works. Suppose I'm the experimenter.
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Evo kako ide. Pretpostavimo da sam ja eksperimentator.
02:07
I bring you into a room.
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Dovedem vas u sobu. Dam vam sveću,
02:08
I give you a candle, some thumbtacks and some matches.
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gomilu čioda i gomilu šibica.
02:13
And I say to you,
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I kažem vam, "Vaš posao
02:14
"Your job is to attach the candle to the wall
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je da pričvrstite sveću na zid
02:17
so the wax doesn't drip onto the table."
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tako da vosak ne kaplje na sto". Šta biste vi uradili?
02:20
Now what would you do?
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02:21
Many people begin trying to thumbtack the candle to the wall.
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Mnogi ljudi počinju time da ubodu sveću na zid.
02:25
Doesn't work.
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Ne ide.
02:26
I saw somebody kind of make the motion over here --
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Neko, neki ljudi, i video sam
da neko ovde pravi sličan pokret.
02:31
some people have a great idea where they light the match,
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Neki imaju odličnu ideju da
zapale šibicu, otope stranicu sveće i pokušaju da je pričvrste za zid.
02:34
melt the side of the candle, try to adhere it to the wall.
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02:37
It's an awesome idea. Doesn't work.
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To je super ideja. Ne ide.
02:40
And eventually, after five or ten minutes,
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I konačno, posle pet ili deset minuta,
02:43
most people figure out the solution,
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većina ljudi ukapira rešenje.
02:45
which you can see here.
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Koje možete videti ovde.
02:46
The key is to overcome what's called functional fixedness.
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Ključ je u tome da se prevaziđe ono što se zove funkcionalna fiksiranost.
02:50
You look at that box and you see it only as a receptacle for the tacks.
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Vidite tu kutiju i posmatrate je samo kao kutiju u kojoj stoje čiode.
02:54
But it can also have this other function,
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Ali ona može da ima i ovu drugu funkciju,
02:56
as a platform for the candle.
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kao platforma za sveće. Problem sa svećom.
02:59
The candle problem.
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03:00
I want to tell you about an experiment using the candle problem,
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Želim da vam ispričam eksperiment
koji koristi ovaj problem,
03:04
done by a scientist named Sam Glucksberg,
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koji je uradio naučnik po imenu Sem Gluksberg,
03:06
who is now at Princeton University, US,
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koji je trenutno na Prinstonu u SAD-u.
03:08
This shows the power of incentives.
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Ovo pokazuje moć motivacije.
03:12
He gathered his participants and said:
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Evo šta je uradio. Okupio je učesnike.
03:14
"I'm going to time you, how quickly you can solve this problem."
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I rekao je, "Meriću vam vreme. Koliko brzo možete da rešite ovaj problem?"
Jednoj grupi je rekao,
03:18
To one group he said,
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03:19
"I'm going to time you to establish norms,
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meriću vam vreme da bih postavio norme,
03:22
averages for how long it typically takes someone to solve this sort of problem."
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proseke koliko je tipično potrebno
nekome da reši ovu vrstu problema.
03:26
To the second group he offered rewards.
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Drugoj grupi je ponudio nagrade.
03:29
He said, "If you're in the top 25% of the fastest times,
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Rekao je, "Ako budete u prvih 25% najbržih,
03:33
you get five dollars.
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dobićete 5 dolara.
03:35
If you're the fastest of everyone we're testing here today,
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Ako budete najbrži od svih koje testiramo danas,
03:39
you get 20 dollars."
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dobićete 20 dolara."
03:41
Now this is several years ago, adjusted for inflation,
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To je bilo pre nekoliko godina. Prilagođeno inflaciji.
03:44
it's a decent sum of money for a few minutes of work.
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To je pristojna suma novca za nekoliko minuta posla.
03:46
It's a nice motivator.
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To je lep motivator.
03:48
Question:
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Pitanje: koliko je ova grupa
03:49
How much faster did this group solve the problem?
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bila brža u rešavanju problema?
03:53
Answer:
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Odgovor: Bilo im je potrebno, prosečno,
03:54
It took them, on average, three and a half minutes longer.
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tri ipo minuta duže.
04:00
3.5 min longer.
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Tri ipo minuta duže. Ovo nema nikakvog smisla, zar ne?
04:01
This makes no sense, right?
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04:03
I mean, I'm an American. I believe in free markets.
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Mislim, ja sam Amerikanac. Verujem u slobodna tržišta.
04:06
That's not how it's supposed to work, right?
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To ne bi trebalo tako da funkcioniše. Zar ne?
04:09
(Laughter)
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(smeh)
04:10
If you want people to perform better, you reward them. Right?
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Ako želite da ljudi rade bolje,
nagradite ih. Je l' tako?
04:14
Bonuses, commissions, their own reality show.
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Bonusi, provizije, njihov sopstveni reality show.
04:17
Incentivize them.
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Motivišete ih. Tako poslovi funkcionišu.
04:20
That's how business works.
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04:21
But that's not happening here.
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Ali to se ne događa ovde.
04:23
You've got an incentive designed
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Imate motiv koji je osmišljen da
04:25
to sharpen thinking and accelerate creativity,
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izoštri mišljenje i ubrza kreativnost.
04:28
and it does just the opposite.
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A on radi sasvim suprotno.
04:31
It dulls thinking and blocks creativity.
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Otupljuje mišljenje i blokira kreativnost.
04:34
What's interesting about this experiment
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Ono što je u vezi s ovim eksperimentom interesantno je to da on nije greška.
04:36
is that it's not an aberration.
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04:37
This has been replicated over and over again
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Ovo se ponavlja iznova i iznova
04:40
for nearly 40 years.
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i iznova, skoro 40 godina.
04:43
These contingent motivators --
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Ovi zavisni motivatori,
04:46
if you do this, then you get that --
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ako radite ovo, dobijete ono,
04:48
work in some circumstances.
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funkcionišu u nekim okolnostima.
04:50
But for a lot of tasks, they actually either don't work
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Ali u mnogim zadacima oni stvarno ili ne rade,
04:53
or, often, they do harm.
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ili često čine štetu.
04:56
This is one of the most robust findings in social science,
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Ovo je jedno od najsnažnijih otkrića
u socijalnoj nauci.
05:02
and also one of the most ignored.
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I takođe jedno od najviše ignorisanih.
05:05
I spent the last couple of years
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Poslednjih nekoliko godina sam proveo ispitujući
05:06
looking at the science of human motivation,
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nauku ljudske motivacije.
05:09
particularly the dynamics of extrinsic motivators
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Naročito dinamiku ekstrinzičnih
05:11
and intrinsic motivators.
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i intrinzičnih motivatora.
05:13
And I'm telling you, it's not even close.
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I kažem vam, nije ni blizu.
05:15
If you look at the science, there is a mismatch
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Ako gledate nauku, postoji neslaganje
05:17
between what science knows
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između onoga što nauka zna i šta posao radi.
05:19
and what business does.
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05:21
What's alarming here is that our business operating system --
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Ono što je uznemiravajuće je to da naš poslovni sistem -
05:24
think of the set of assumptions and protocols beneath our businesses,
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pomislite na sve pretpostavke i protokole u pozadini našeg biznisa,
05:27
how we motivate people, how we apply our human resources--
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kako motivišemo ljude, kako primenjujemo ljudske resurse -
05:32
it's built entirely around these extrinsic motivators,
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izgrađen je u potpunosti oko tih ekstrinzičnih motivatora,
05:35
around carrots and sticks.
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oko šargarepa i štapova.
05:37
That's actually fine for many kinds of 20th century tasks.
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Ustvari to je dobro za mnoge zadatke dvadesetog veka.
05:41
But for 21st century tasks,
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Ali za zadatke 21. veka,
05:43
that mechanistic, reward-and-punishment approach
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taj mehanistički prisup nagrade-i-kazne
05:47
doesn't work,
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ne funkcioniše, često ne funkcioniše i često šteti.
05:49
often doesn't work,
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05:50
and often does harm.
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05:51
Let me show you.
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Dozvolite da pokažem šta mislim.
05:52
Glucksberg did another similar experiment,
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Gluksberg je uradio eksperiment sličan ovome
05:56
he presented the problem in a slightly different way,
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gde je problem predstavio na malo drugačiji način,
05:58
like this up here.
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kao što je ovde. OK?
06:00
Attach the candle to the wall so the wax doesn't drip onto the table.
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Pričvrstite sveću za zid, tako da vosak ne kaplje na sto.
06:03
Same deal. You: we're timing for norms.
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Ista stvar. Vi: merimo vam vreme za norme.
06:06
You: we're incentivizing.
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Vi: vas motivišemo.
06:08
What happened this time?
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Šta se desilo ovog puta?
06:11
This time, the incentivized group kicked the other group's butt.
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Ovog puta, motivisana grupa
razvalila je drugu grupu.
06:17
Why?
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Zašto? Pa kad su čiode van kutije
06:19
Because when the tacks are out of the box,
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06:21
it's pretty easy isn't it?
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prilično je lako, zar ne?
06:25
(Laughter)
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(smeh)
06:27
If-then rewards work really well for those sorts of tasks,
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Ako-onda nagrade funkcionišu prilično dobro
za takve vrste zadataka,
06:32
where there is a simple set of rules
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gde postoje jednostavna pravila i jasan cilj
06:34
and a clear destination to go to.
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kome se teži.
06:37
Rewards, by their very nature,
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Nagrade, po samoj svojoj prirodi,
06:39
narrow our focus, concentrate the mind;
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sužavaju naš fokus, usmeravaju mozak.
06:41
that's why they work in so many cases.
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Upravo zato su dobre u toliko mnogo prilika.
06:43
So, for tasks like this,
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Tako, za zadatke kao što je ovaj,
06:45
a narrow focus, where you just see the goal right there,
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ograničen fokus, kad jednostavno vidite cilj tamo
06:48
zoom straight ahead to it,
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i usredsredite se na njega,
06:50
they work really well.
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one služe vrlo dobro.
06:52
But for the real candle problem,
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Ali za pravi problem sa svećom,
06:54
you don't want to be looking like this.
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ne želite da gledate ovako.
06:56
The solution is on the periphery. You want to be looking around.
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Rešenje nije ovde. Rešenje je na periferiji.
Želite da gledate okolo.
06:59
That reward actually narrows our focus
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Ta nagrada nam usvari sužava fokus
07:02
and restricts our possibility.
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i ograničava mogućnosti.
07:04
Let me tell you why this is so important.
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Reći ću vam zašto je to tako važno.
07:07
In western Europe,
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U zapadnoj Evropi,
u mnogim delovima Azije,
07:10
in many parts of Asia,
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07:11
in North America, in Australia,
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u Severnoj Americi, Australiji,
07:14
white-collar workers are doing less of this kind of work,
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službenici rade manje
ovakvih poslova,
07:17
and more of this kind of work.
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a više ovakvih poslova.
07:22
That routine, rule-based, left-brain work --
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Taj rutinski posao, zasnovan na pravilima i aktivnosti leve strane mozga,
07:25
certain kinds of accounting, financial analysis,
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neke vrste računovodstva i finansijske analize,
07:27
computer programming --
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kompjuterskog programiranja,
07:29
has become fairly easy to outsource,
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postao je prilično jednostavan za prepustiti drugima,
07:31
fairly easy to automate.
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prilično jednostavan za automatizovanje.
07:33
Software can do it faster.
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Softver to može da uradi brže.
07:35
Low-cost providers can do it cheaper.
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Niskobudžetni posrednici širom sveta to mogu jevtinije.
07:38
So what really matters
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Ono što je stvarno bitno su sposobnosti
07:41
are the more right-brained creative, conceptual kinds of abilities.
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koje su kreativne, konceptualne i aktiviraju desnu stranu mozga.
07:45
Think about your own work.
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Razmislite o svom poslu.
07:48
Think about your own work.
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Razmislite o svom poslu.
07:51
Are the problems that you face,
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Da li problemi sa kojima se suočavate ili čak problemi
07:52
or even the problems we've been talking about here,
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o kojima pričamo ovde,
07:55
do they have a clear set of rules,
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da li te vrste problema - da li imaju jasna pravila
i jedno rešenje? Ne.
07:58
and a single solution?
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07:59
No. The rules are mystifying.
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Pravila su tajanstvena.
08:02
The solution, if it exists at all,
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Rešenje, ako uopšte postoji,
08:04
is surprising and not obvious.
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je iznenađujuće i nije očigledno.
08:07
Everybody in this room
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Svako u ovoj sobi
08:09
is dealing with their own version of the candle problem.
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se nosi sa svojom verzijom
problema sa svećom.
08:14
And for candle problems of any kind,
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A za bilo kakve probleme sa svećom,
08:17
in any field,
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u bilo kojoj oblasti,
08:19
those if-then rewards,
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te ako-onda nagrade,
08:22
the things around which we've built so many of our businesses,
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stvari oko kojih smo izgradili toliko naših poslova,
08:26
don't work!
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ne funkcionišu.
08:28
It makes me crazy.
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Mislim, to me izluđuje.
08:30
And here's the thing.
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I to nije - evo u čemu je stvar.
08:32
This is not a feeling.
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To nije neko osećanje.
08:35
Okay? I'm a lawyer; I don't believe in feelings.
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3094
Okej? Ja sam advokat. Ne verujem u osećanja.
08:38
This is not a philosophy.
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To nije neka filozofija.
08:42
I'm an American; I don't believe in philosophy.
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Ja sam Amerikanac. Ne verujem u filozofiju.
08:44
(Laughter)
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1687
(smeh)
08:47
This is a fact --
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Ovo je činjenica.
08:50
or, as we say in my hometown of Washington, D.C.,
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2444
Ili, kako mi to kažemo u mom rodnom Vašingtonu,
08:52
a true fact.
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istinita činjenica.
08:54
(Laughter)
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2444
(smeh)
(aplauz)
08:57
(Applause)
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3794
09:00
Let me give you an example.
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Daću vam primer onoga što mislim.
09:02
Let me marshal the evidence here.
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Dozvolite da izložim dokaze.
09:04
I'm not telling a story, I'm making a case.
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Jer ne pričam vam priču. Predstavljam vam slučaj.
09:06
Ladies and gentlemen of the jury, some evidence:
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Dame i gospodo porotnici, evo dokaza:
09:08
Dan Ariely, one of the great economists of our time,
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Den Arili, jedan od najvećih ekonomista našeg doba,
09:11
he and three colleagues did a study of some MIT students.
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sa troje kolega je uradio studiju sa studentima tehnologije u Masačusetsu.
09:15
They gave these MIT students a bunch of games,
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2650
Dali su studentima MIT-a gomilu igara.
09:18
games that involved creativity,
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1976
Igara koje uključuju kreativnost,
09:20
and motor skills, and concentration.
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2278
motorne veštine i koncentraciju.
09:22
And the offered them, for performance,
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2081
I za izvršenje su im ponudili
09:24
three levels of rewards:
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564567
2014
tri nivoa nagrada.
09:26
small reward, medium reward, large reward.
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4246
Malu nagradu, srednju nagradu, veliku nagradu.
09:30
If you do really well you get the large reward, on down.
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Okej? Ako odlično uradite, dobijete veliku nagradu i tako naniže.
09:35
What happened?
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1334
Šta se desilo? Sve dok je zadatak uključivao samo mehaničke veštine
09:36
As long as the task involved only mechanical skill
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2742
09:39
bonuses worked as they would be expected:
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1976
bonusi su funkcionisali kao što je očekivano:
09:41
the higher the pay, the better the performance.
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3697
što je veća nagrada, bolja je izvedba.
09:44
Okay?
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1151
Okej? Ali čim zadatak aktivira
09:46
But once the task called for even rudimentary cognitive skill,
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čak i samo osnovne kognitivne sposobnosti,
09:51
a larger reward led to poorer performance.
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veća nagrada vodi to slabijeg izvršenja.
Onda su rekli,
09:57
Then they said,
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1150
09:58
"Let's see if there's any cultural bias here.
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2135
"Okej, hajde da vidimo da li ovde postoji neka kulturna pristrasnost.
10:00
Let's go to Madurai, India and test it."
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1953
Hajdemo u Madurai, u Indiju, i testirajmo ovo."
10:02
Standard of living is lower.
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1570
Životni standard je niži.
10:04
In Madurai, a reward that is modest in North American standards,
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Nagrada koja je po američkim standardima skromna, u Maduraju
10:07
is more meaningful there.
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mnogo više znači.
10:09
Same deal. A bunch of games, three levels of rewards.
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3402
Ista stvar. Gomila igara, tri nivoa nagrada.
10:13
What happens?
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Šta se dešava?
10:15
People offered the medium level of rewards
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3000
Ljudi kojima je ponuđen srednji nivo nagrade
10:18
did no better than people offered the small rewards.
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nisu bili ništa bolji od onih kojima su ponuđene male nagrade.
10:20
But this time, people offered the highest rewards,
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4479
Ali ovog puta, ljudi kojima je ponuđena najveća nagrada
10:25
they did the worst of all.
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su postigli najlošije rezultate.
10:28
In eight of the nine tasks we examined across three experiments,
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3373
U osam od devet zadataka koje smo proučili kroz tri eksperimenta,
10:32
higher incentives led to worse performance.
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veće nagrade vodile su lošijim izvedbama.
10:37
Is this some kind of touchy-feely socialist conspiracy going on here?
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5976
Da li se to ovde dešava nekakva
intuitivna socijalistička zavera?
10:43
No, these are economists from MIT,
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2776
Ne. Ovo su ekonomsti sa MIT-a,
10:46
from Carnegie Mellon, from the University of Chicago.
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2702
sa Karnegi Melona, sa univerziteta u Čikagu.
10:49
Do you know who sponsored this research?
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2621
A znate li ko je sponzorisao ovo istraživanje?
10:51
The Federal Reserve Bank of the United States.
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4120
Banka Federalnih Rezervi Sjedinjenih Država.
10:55
That's the American experience.
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1820
To je američko iskustvo.
10:57
Let's go across the pond to the London School of Economics,
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2775
Pođimo preko bare u londonsku Školu Ekonomije.
11:00
LSE, London School of Economics,
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2544
LSE (London Shcool of Economics), londonska škola ekonomije.
11:03
alma mater of eleven Nobel Laureates in economics.
239
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3444
Kolevka 11 dobitnika Nobelove nagrade za ekonomiju.
11:06
Training ground for great economic thinkers
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666628
2508
Mesto gde su učili velikani ekonomije
11:09
like George Soros, and Friedrich Hayek,
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2976
kao što su Džordž Soros i Fridrih Hajek
11:12
and Mick Jagger.
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1287
i Mik Džeger. (smeh)
11:13
(Laughter)
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1299
11:14
Last month,
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1770
Prošlog meseca, samo prošlog meseca,
11:16
just last month,
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676588
1499
11:18
economists at LSE looked at 51 studies
246
678111
3025
ekonomisti sa LSE pregledali su 51 studiju
11:21
of pay-for-performance plans, inside of companies.
247
681160
2976
planova za plaćanje po učinku, iz kompanija.
11:24
Here's what they said:
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1451
Evo šta su tamošnji ekonomisti rekli: "Mislimo da finansijski motivi
11:25
"We find that financial incentives
249
685635
1796
11:27
can result in a negative impact on overall performance."
250
687455
4053
za rezultat mogu imati negativan uticaj na ukupno postignuće."
11:32
There is a mismatch between what science knows
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3699
Postoji neslaganje između onoga što nauka zna
11:36
and what business does.
252
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1477
i onoga što biznis radi.
11:38
And what worries me, as we stand here in the rubble
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698160
3277
Ono što me brine, dok stojimo na ruševinama
11:41
of the economic collapse,
254
701461
1675
ekonomske propasti,
11:43
is that too many organizations are making their decisions,
255
703160
3976
jeste to što previše organizacija
donosi odluke
11:47
their policies about talent and people,
256
707160
2372
i pravila o talentu i ljudima,
11:49
based on assumptions that are outdated,
257
709556
4127
koje su zasnovane na zastarelim, neproverenim pretpostavkama,
11:53
unexamined,
258
713707
1190
11:54
and rooted more in folklore than in science.
259
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2762
i ukorenjene u folkloru, a ne u nauci.
11:58
And if we really want to get out of this economic mess,
260
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2572
I ako stvarno želimo da izađemo iz ovog ekonomskog haosa
12:01
if we really want high performance
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2093
i ako želimo visoko postignuće na tim
12:03
on those definitional tasks of the 21st century,
262
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2447
jasnim zadacima 21. veka,
12:05
the solution is not to do more of the wrong things,
263
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5940
rešenje nije u tome da radimo još pogrešnih stvari.
12:11
to entice people with a sweeter carrot,
264
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2323
Da mamimo ljude slađom šargarepom
12:14
or threaten them with a sharper stick.
265
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2399
ili da im pretimo oštrijim štapom.
12:16
We need a whole new approach.
266
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1654
Potreban nam je potpuno novi pristup.
12:18
The good news is that the scientists
267
738160
1976
A dobra vest u vezi sa svim ovim je da su nam naučnici,
12:20
who've been studying motivation have given us this new approach.
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3188
koji se bave proučavanjem motivacije, dali taj novi pristup.
12:23
It's built much more around intrinsic motivation.
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3095
To je pristup koji je zasnovan mnogo više na intrinzičnoj motivaciji.
12:26
Around the desire to do things because they matter,
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2455
Na želji da se rade stvari jer su bitne,
12:28
because we like it, they're interesting, or part of something important.
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3563
jer nam se sviđaju, jer su zanimljive,
jer su deo nečeg važnog.
12:32
And to my mind, that new operating system for our businesses
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3579
I po mom mišljenju, taj novi operativni sistem za naše poslove
12:36
revolves around three elements:
273
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1701
se vrti oko tri elementa:
12:37
autonomy, mastery and purpose.
274
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3251
autonomije, majstorstva i svrhe.
12:41
Autonomy: the urge to direct our own lives.
275
761160
2976
Autonomija, potreba da upravljamo svojim životima.
12:44
Mastery: the desire to get better and better at something that matters.
276
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4245
Majstorstvo, želja da budemo bolji i bolji u nečemu što je bitno.
12:48
Purpose: the yearning to do what we do
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2707
Svrha, želja da radimo ono što radimo
12:51
in the service of something larger than ourselves.
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3193
u svrhu nečega što je veće od nas samih.
12:54
These are the building blocks of an entirely new operating system
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774377
3294
To je građa potpuno novog operativnog sistema
12:57
for our businesses.
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1441
za naše poslove.
12:59
I want to talk today only about autonomy.
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2561
Danas želim da pričam samo o autonomiji.
13:03
In the 20th century, we came up with this idea of management.
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2976
U dvadesetom veku izmislili smo menadžment.
13:06
Management did not emanate from nature.
283
786160
2294
Menadžment ne potiče iz prirode.
13:08
Management is not a tree, it's a television set.
284
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3658
Menadžment je - to nije nešto kao drvo.
To je kao televizor.
13:12
Somebody invented it.
285
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2224
Okej? Neko ga je izmislio.
13:14
It doesn't mean it's going to work forever.
286
794408
2000
I to ne znači da će zauvek da funkcioniše.
13:16
Management is great.
287
796432
2007
Menadžement je super.
13:18
Traditional notions of management are great
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2054
Tradicionalne ideje menadžmenta su odlične
13:20
if you want compliance.
289
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1595
ako želite potčinjenost.
13:22
But if you want engagement, self-direction works better.
290
802160
3183
Ali ako želite uključenost, samo-usmeravanje je bolje.
13:25
Some examples of some kind of radical notions of self-direction.
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4040
Daću vam neke primere nekih radikalnih
ideja samousmeravanja.
13:29
You don't see a lot of it,
292
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2936
Šta ovo znači - ne vidite ga mnogo,
13:32
but you see the first stirrings of something really interesting going on,
293
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3476
ali vidite prva komešanja nečega veoma interesantnog.
13:35
what it means is paying people adequately and fairly, absolutely --
294
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3643
Jer to znači adekvatno i fer
plaćanje ljudi, apsolutno.
13:39
getting the issue of money off the table,
295
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2285
Otklanjanje problema novca sa dnevnog reda.
13:41
and then giving people lots of autonomy.
296
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1975
I onda, davanje ljudima mnogo autonomije.
13:43
Some examples.
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1270
Daću vam neke primere.
13:45
How many of you have heard of the company Atlassian?
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2945
Koliko vas je čulo za kompaniju Atlassian?
13:49
It looks like less than half.
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829628
1508
Izgleda manje od pola.
13:51
(Laughter)
300
831160
1405
(smeh)
13:52
Atlassian is an Australian software company.
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4547
Atlassian je australijska softverska kompanija.
13:57
And they do something incredibly cool.
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837160
1971
Oni rade nešto neverovatno kul.
13:59
A few times a year they tell their engineers,
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839155
2744
Nekoliko puta godišnje kažu svojim inženjerima,
14:01
"Go for the next 24 hours and work on anything you want,
304
841923
4006
"Naredna 24 sata idite i bavite se čime god želite,
14:05
as long as it's not part of your regular job.
305
845953
2110
samo da to ne bude vaš redovan posao.
Radite na bilo čemu što želite."
14:08
Work on anything you want."
306
848087
1390
14:09
Engineers use this time to come up with a cool patch for code,
307
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3763
To vreme inženjeri koriste da smisle
kul kod, ili elegantne izmene.
14:13
come up with an elegant hack.
308
853288
1442
14:14
Then they present all of the stuff that they've developed
309
854754
2966
Onda predstavljaju svojim kolegama
14:17
to their teammates, to the rest of the company,
310
857744
2720
i ostatku kompanije sve što su razvili,
14:20
in this wild and woolly all-hands meeting at the end of the day.
311
860488
3952
na tom ludom zajedničkom sastanku
na kraju dana.
14:24
Being Australians, everybody has a beer.
312
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2195
I onda, pošto su Australijanci, svi popiju po pivo.
14:26
They call them FedEx Days.
313
866683
2020
Oni to zovu FedEx (kurirska služba) dani.
14:29
Why?
314
869612
1029
Zašto? Zato što morate da isporučite nešto preko noći.
14:31
Because you have to deliver something overnight.
315
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2388
14:34
It's pretty; not bad.
316
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1567
Simpatično je. Nije loše. To je ogromna povreda zaštitnog znaka.
14:36
It's a huge trademark violation, but it's pretty clever.
317
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2668
Ali je prilično pametno.
14:39
(Laughter)
318
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1337
(smeh)
14:40
That one day of intense autonomy
319
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1678
Taj jedan dan intenzivne autonomije
14:42
has produced a whole array of software fixes
320
882323
2052
proizveo je čitav niz popravki za softver
14:44
that might never have existed.
321
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1737
koje možda nikada ne bi postojale.
14:46
It's worked so well that Atlassian has taken it to the next level
322
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3068
I to je tako dobro išlo, da je Atlassian to digao na viši nivo,
sa "20 posto vremena".
14:49
with 20% time --
323
889252
1058
14:50
done, famously, at Google --
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2168
Što je popularizovao Gugl.
14:52
where engineers can spend 20% of their time
325
892526
2062
Kada inženjeri mogu da potroše 20% svog vremena
14:54
working on anything they want.
326
894612
1945
radeći na bilo čemu što požele.
14:56
They have autonomy over their time,
327
896581
1667
Vladaju svojim vremenom,
14:58
their task, their team, their technique.
328
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2213
svojim zadatkom, svojim timom, svojom tehnikom.
15:00
Radical amounts of autonomy.
329
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1954
Okej? Radikalne količine autonomije,
15:02
And at Google, as many of you know,
330
902487
3926
i u Guglu, kao što mnogi od vas znaju,
15:06
about half of the new products in a typical year
331
906437
2333
oko polovina novih proizvoda u prosečnoj godini
15:08
are birthed during that 20% time:
332
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2476
nastaje tokom tih 20 Procenata vremena.
15:11
things like Gmail, Orkut, Google News.
333
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2842
Stvari kao što su Gmail, Orkut, Google News.
15:14
Let me give you an even more radical example of it:
334
914160
2920
Daću vam još radikalniji primer toga.
15:17
something called the Results Only Work Environment (the ROWE),
335
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3873
Nešto što se zove Results Only Work Environment.
ROWE (Radno okruženje usmereno na rezultate).
15:21
created by two American consultants,
336
921001
2066
Kreirala su ga dva američka konsultanta
15:23
in place at a dozen companies around North America.
337
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2679
za desetak kompanija širom Severne Amerike.
15:25
In a ROWE people don't have schedules.
338
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2605
U ROWE programu ljudi nemaju rasporede.
15:29
They show up when they want.
339
929728
1647
Pojave se kad god žele.
15:31
They don't have to be in the office at a certain time, or any time.
340
931399
4054
Ne moraju da budu u kancelariji u određeno vreme,
ili u bilo koje vreme.
15:35
They just have to get their work done.
341
935477
1945
Samo moraju da završe svoj posao.
15:37
How they do it, when they do it, where they do it, is totally up to them.
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937446
4159
Kako rade, kada rade,
gde rade, potpuno je prepušteno njima.
15:42
Meetings in these kinds of environments are optional.
343
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3331
Sastanci u ovakvim radnim okruženjima su potpuno opcioni.
Šta se dešava?
15:47
What happens?
344
947039
1461
15:48
Almost across the board,
345
948524
1711
Skoro u svim delovima produktivnost raste,
15:50
productivity goes up, worker engagement goes up,
346
950259
3210
angažovanost radnika raste,
15:53
worker satisfaction goes up, turnover goes down.
347
953493
3643
zadovoljstvo radnika raste, fluktuacija je manja.
15:57
Autonomy, mastery and purpose,
348
957160
1976
Autonomija, majstorstvo i svrha.
15:59
the building blocks of a new way of doing things.
349
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2612
To je građa novog načina na koji se rade stvari.
16:01
Some of you might look at this and say,
350
961796
2340
Neki od vas će možda pogledati ovo i reći,
16:04
"Hmm, that sounds nice, but it's Utopian."
351
964160
2460
"Hmm, to zvuči lepo. Ali to je Utopija."
16:07
And I say, "Nope.
352
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1480
A ja kažem, "Jok. Imam dokaz."
16:10
I have proof."
353
970525
1568
16:12
The mid-1990s, Microsoft started an encyclopedia called Encarta.
354
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3498
Sredinom osamdesetih, Microsoft je pokrenuo
jednu enciklopediju koja se zvala Enkarta.
16:16
They had deployed all the right incentives,
355
976160
3317
Razvijali su sve ispravne motivatore.
Sve ispravne motivatore. Platili su profesionalcima da
16:19
They paid professionals to write and edit thousands of articles.
356
979501
3849
pišu i uređuju hiljade članaka.
16:23
Well-compensated managers oversaw the whole thing
357
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2589
Dobro plaćeni menadžeri nadgledali su celu stvar
16:25
to make sure it came in on budget and on time.
358
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2258
da se uvere da će biti na vreme i u okviru budžeta.
16:30
A few years later, another encyclopedia got started.
359
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2504
Nekoliko godina kasnije jedna druga enciklopedija je krenula.
16:32
Different model, right?
360
992688
1397
Drugačiji model, je l' tako?
16:35
Do it for fun.
361
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1660
Radi zabave. Niko nije plaćen nijedan cent, ni euro, ni jen.
16:37
No one gets paid a cent, or a euro or a yen.
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Radite zato što volite da radite.
16:41
Do it because you like to do it.
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Da ste, pre samo 10 godina,
16:43
Just 10 years ago,
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16:45
if you had gone to an economist, anywhere,
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otišli kod ekonomiste, bilo gde,
16:47
"Hey, I've got these two different models for creating an encyclopedia.
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i rekli, "Hej, imam dva modela za kreiranje enciklopedije.
16:51
If they went head to head, who would win?"
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Da je mrtva trka, ko bi pobedio?"
16:53
10 years ago you could not have found a single sober economist
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Pre 10 godina niste mogli naći jednog pribranog ekonomistu bilo gde
16:57
anywhere on planet Earth
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na planeti Zemlji,
16:59
who would have predicted the Wikipedia model.
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koji bi predvideo Wikipedia model.
17:02
This is the titanic battle between these two approaches.
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Ovo je bitka titana između ova dva pristupa.
17:05
This is the Ali-Frazier of motivation, right?
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Ovo je motivacioni Ali-Frejzer meč. Zar ne?
17:08
This is the Thrilla in Manila.
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Ovo je "Triler u Manili".
17:10
Intrinsic motivators versus extrinsic motivators.
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U redu? Intrinzični motivatori protiv ekstrinzičnih.
17:13
Autonomy, mastery and purpose,
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Autonomija, majstorstvo, svrha,
17:15
versus carrot and sticks, and who wins?
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protiv šargarepe i štapova. I ko pobeđuje?
17:17
Intrinsic motivation, autonomy, mastery and purpose, in a knockout.
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Intrinzični motivatori, autonomija, majstorstvo i svrha,
nokautom. Završiću.
17:21
Let me wrap up.
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17:24
There is a mismatch between what science knows and what business does.
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Postoji neslaganje između onoga što nauka zna i što biznis radi.
A evo šta nauka zna.
17:28
Here is what science knows.
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17:29
One: Those 20th century rewards,
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Jedan: nagrade dvadesetog veka,
17:31
those motivators we think are a natural part of business,
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ti motivatori za koje mislimo da su prirodni deo posla,
17:34
do work, but only in a surprisingly narrow band of circumstances.
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dobre su, ali samo u iznenađujuće malom opsegu situacija.
17:38
Two: Those if-then rewards often destroy creativity.
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Dva: ako-onda nagrade često uništavaju kreativnost.
17:42
Three: The secret to high performance isn't rewards and punishments,
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Tri: tajna visokog postignuća
nisu nagrade i kazne,
17:46
but that unseen intrinsic drive--
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nego nevidljivi unutrašnji pokretač.
17:48
the drive to do things for their own sake.
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Pokretač da se rade stvari zbog njih samih.
17:51
The drive to do things cause they matter.
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1976
Pokretač da se rade stvari jer su bitne.
17:53
And here's the best part.
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A evo i najboljeg dela. Evo najboljeg dela.
17:55
We already know this.
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Mi ovo već znamo. Nauka potvrđuje ono što u srcima znamo.
17:56
The science confirms what we know in our hearts.
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17:58
So, if we repair this mismatch between science and business,
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Dakle, ako popravimo ovaj raskorak
između toga što nauka zna i onoga što biznis radi,
18:03
if we bring our motivation, notions of motivation
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ako unesemo motivaciju, ideje o motivaciji,
18:06
into the 21st century,
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u 21. vek,
18:08
if we get past this lazy, dangerous, ideology
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ako prođemo pored ove lenje, opasne ideologije
18:12
of carrots and sticks,
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šargarepe i štapova,
18:14
we can strengthen our businesses,
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možemo ojačati svoje poslove,
18:17
we can solve a lot of those candle problems,
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možemo rešiti mnogo onih problema sa svećom,
18:19
and maybe, maybe --
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i možda, možda, možda,
18:24
we can change the world.
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možemo promeniti svet.
18:25
I rest my case.
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Slučaj završen.
18:27
(Applause)
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(aplauz)
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