The puzzle of motivation | Dan Pink | TED

11,813,095 views ・ 2009-08-25

TED


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Prevoditelj: Mislav Ante Omazić - EFZG Recezent: Ando Saina
Moram vam odmah nešto priznati.
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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Prije malo više od 20 godina
napravio sam nešto što sam zažalio,
00:21
something that I'm not particularly proud of.
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nešto na što nisam posebno ponosan,
00:25
Something that, in many ways, I wish no one would ever know,
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nešto što, na mnogo načina, nisam želio da itko sazna,
00:28
but here I feel kind of obliged to reveal.
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ali ovdje nekako osjećam obvezu to otkriti.
00:31
(Laughter)
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(Smijeh)
00:34
In the late 1980s,
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Kasnih 1980-ih,
00:36
in a moment of youthful indiscretion,
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u trenutku mladenačke neopreznosti,
00:39
I went to law school.
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upisao sam pravni fakultet.
00:40
(Laughter)
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(Smijeh)
00:45
In America, law is a professional degree:
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U Americi, pravo je stručna razina.
00:48
after your university degree, you go on to law school.
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Prvo dobijete sveučilišnu diplomu. Onda idete na pravne studije.
00:50
When I got to law school,
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I kada sam došao na pravni fakultet,
00:53
I didn't do very well.
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nije mi baš išlo najbolje.
00:55
To put it mildly, I didn't do very well.
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Blago rečeno, nisam bio dobar.
00:57
I, in fact, graduated in the part of my law school class
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Ja sam, u stvari, diplomirao u onom dijelu svog razreda
01:00
that made the top 90% possible.
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koji je omogućio ostalih 90 posto najboljih.
01:04
(Laughter)
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(Smijeh)
01:08
Thank you.
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Hvala vam.
01:10
I never practiced law a day in my life;
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Nikada nisam prakticirao pravo u svom 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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(Smijeh)
01:19
But today, against my better judgment,
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Ali danas, usprkos vlastitom uvjerenju,
01:22
against the advice of my own wife,
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usprkos savjetu moje žene,
01:25
I want to try to dust off some of those legal skills --
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želim skinuti prašinu s pravničkih vještina,
01:29
what's left of those legal skills.
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onoga što je ostalo od pravničkih vještina.
01:31
I don't want to tell you a story.
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Ne želim vam ispričati priču.
01:34
I want to make a case.
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Želim vam predstaviti slučaj.
01:36
I want to make a hard-headed,
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Želim napraviti tvrdoglavi, dokazivi,
01:38
evidence-based,
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01:40
dare I say lawyerly case,
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usuđujem se reći, pravnički 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 svijećom.
01:53
Some of you might know it.
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Možda su neki od vas već ovo vidjeli.
01:55
It's created in 1945
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Ovo je osmislio 1945.
01:57
by a psychologist named Karl Duncker.
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psiholog pod imenom Karl Duncker.
01:59
He created this experiment
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Karl Duncker je kreirao ovaj eksperiment
02:01
that is used in many other experiments in behavioral science.
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koji se koristi u cijelom nizu eksperimenata u bihevioralnim znanostima.
02:04
And here's how it works. Suppose I'm the experimenter.
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I ovako ide. Pretpostavimo da sam ja voditelj eksperimenta.
02:07
I bring you into a room.
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Uvedem vas u sobu. Dam vam svijeću,
02:08
I give you a candle, some thumbtacks and some matches.
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nekoliko pribadača i nekoliko 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 pričvrstiti svijeću na zid
02:17
so the wax doesn't drip onto the table."
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tako da vosak ne pada na stol. "Što biste napravili?
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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Mnogo ljudi započinje pokušajem pribadanja svijeće na zid.
02:25
Doesn't work.
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Ne funkcionira.
02:26
I saw somebody kind of make the motion over here --
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Netko, neki ljudi, i vidio sam da je netko
napravio pokret ovdje negdje.
02:31
some people have a great idea where they light the match,
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Neki ljudi imaju sjajnu ideju da bi
upalili šibicu, otopili jednu stranu svijeće i pokušali je zalijepiti 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 sjajna ideja. Ne radi.
02:40
And eventually, after five or ten minutes,
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I konačno, poslije 5-10 minuta,
02:43
most people figure out the solution,
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većina ljudi pronađe rješenje.
02:45
which you can see here.
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Koje možete vidjeti ovdje.
02:46
The key is to overcome what's called functional fixedness.
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Ključno je savladati 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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Pogledate kutiju i vidite ju samo kao spremnik za pribadače.
02:54
But it can also have this other function,
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Ali može imati i drugu funkciju,
02:56
as a platform for the candle.
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kao platforma za svijeću. Problem sa svijećom.
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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Sada, želim vam ispričati o jednom eksperimentu
koristeći se problemom sa svijećom,
03:04
done by a scientist named Sam Glucksberg,
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koji je napravio znanstvenik Sam Glucksberg,
03:06
who is now at Princeton University, US,
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koji sada radi na Sveučilištu Princeton u SAD-u.
03:08
This shows the power of incentives.
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Ovo ukazuje na snagu poticaja.
03:12
He gathered his participants and said:
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Evo što je napravio. Okupio je učesnike.
03:14
"I'm going to time you, how quickly you can solve this problem."
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I rekao im, "Mjeriti ću vam vrijeme. Koliko brzo možete riješiti 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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mjeriti ću vam vrijeme kako bih postavio norme,
03:22
averages for how long it typically takes someone to solve this sort of problem."
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prosjeke koliko tipično treba
nekome da riješi tu 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 ste u gornjih 25 posto s najboljim vremenom
03:33
you get five dollars.
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dobiti ćete pet dolara.
03:35
If you're the fastest of everyone we're testing here today,
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Ako ste najbrži od svih koje ćemo danas testirati
03:39
you get 20 dollars."
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dobiti ćete 20 dolara."
03:41
Now this is several years ago, adjusted for inflation,
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To je bilo prije nekoliko godina. Korigirano za inflaciju.
03:44
it's a decent sum of money for a few minutes of work.
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To je pristojna svota novca za nekoliko minuta posla.
03:46
It's a nice motivator.
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To je lijepi motiv.
03:48
Question:
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Pitanje: Koliko brže
03:49
How much faster did this group solve the problem?
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je ta grupa riješila problem?
03:53
Answer:
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Odgovor: U prosjeku im je trebalo,
03:54
It took them, on average, three and a half minutes longer.
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tri i pol minute duže.
04:00
3.5 min longer.
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Tri i pol minute duže. Dakle, to 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. Vjerujem u slobodno tržište.
04:06
That's not how it's supposed to work, right?
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To ne bi tako trebalo funkcionirati. Zar ne?
04:09
(Laughter)
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(Smijeh)
04:10
If you want people to perform better, you reward them. Right?
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Ako želite da ljudi bolje rade,
nagradite ih. Točno?
04:14
Bonuses, commissions, their own reality show.
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Bonusi, provizije, njihov osobni "reality show".
04:17
Incentivize them.
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Potaknite ih. Tako poslovni svijet funkcionira.
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 ovdje ne događa.
04:23
You've got an incentive designed
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Imate poticaj koji je osmišljen kako bi
04:25
to sharpen thinking and accelerate creativity,
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potaknuo britko razmišljanje i ubrzao kreativnost.
04:28
and it does just the opposite.
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A čini upravo suprotno.
04:31
It dulls thinking and blocks creativity.
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Otupljuje razmišljanje i blokira kreativnost.
04:34
What's interesting about this experiment
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Ono što je interesantno za ovaj eksperiment jest da ne predstavlja odstupanje.
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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Rezultati se ponavljaju stalno
04:40
for nearly 40 years.
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i opet iznova, već gotovo 40 godina.
04:43
These contingent motivators --
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Ti situacijski motivatori,
04:46
if you do this, then you get that --
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ako napravite ovo, onda ćete dobiti ono,
04:48
work in some circumstances.
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u nekim okolnostima fukcioniraju.
04:50
But for a lot of tasks, they actually either don't work
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Ali za mnogo zadataka, oni zapravo ili ne rade
04:53
or, often, they do harm.
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ili, često, štete.
04:56
This is one of the most robust findings in social science,
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To je jedno od opsežnijih otkrića
u društvenim znanostima.
05:02
and also one of the most ignored.
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I jedno koje se najviše zanemaruje.
05:05
I spent the last couple of years
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Posljednjih nekoliko godina promatrao sam znanost
05:06
looking at the science of human motivation,
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o motivaciji ljudi.
05:09
particularly the dynamics of extrinsic motivators
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Posebno dinamiku ekstrinzičnih motivatora
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 znanost, postoji nepodudaranje
05:17
between what science knows
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između onoga što znanost zna i onoga što poslovni svijet 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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I ono što je alarmantno ovdje jest da je naš operativni poslovni sustav --
05:24
think of the set of assumptions and protocols beneath our businesses,
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razmislite o setu pretpostavki i protokola u pozadini naših poslova,
05:27
how we motivate people, how we apply our human resources--
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kako motiviramo ljude, kako primijenjujemo ljudske resurse --
05:32
it's built entirely around these extrinsic motivators,
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izgrađeno je u potpunosti oko tih ekstrinzičnih motivatora,
05:35
around carrots and sticks.
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oko mrkvi i štapova.
05:37
That's actually fine for many kinds of 20th century tasks.
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To je u stvari dobro za mnoge vrste poslova 20. stoljeća.
05:41
But for 21st century tasks,
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Ali za poslove 21. stoljeća,
05:43
that mechanistic, reward-and-punishment approach
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taj mehanicistički, nagrada-i-kazna pristup
05:47
doesn't work,
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ne funkcionira, često ne radi, i često čini štetu.
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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Dopustite da vam pokažem na što mislim.
05:52
Glucksberg did another similar experiment,
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Tako je Glucksberg napravio novi eksperiment sličan ovome
05:56
he presented the problem in a slightly different way,
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gdje je prezentirao problem na malo drugačiji način,
05:58
like this up here.
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od ovoga gore. OK?
06:00
Attach the candle to the wall so the wax doesn't drip onto the table.
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Pričvrstite svijeću na zid tako da vosak ne pada na stol.
06:03
Same deal. You: we're timing for norms.
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Jednaka ponuda. Vi: mjerimo vam norme.
06:06
You: we're incentivizing.
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Vi: potičemo vas.
06:08
What happened this time?
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Što se dogodilo ovaj puta?
06:11
This time, the incentivized group kicked the other group's butt.
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Ovaj puta, grupa koja je poticana
rasturila je drugu grupu.
06:17
Why?
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Zašto? Jer kada su pribadače izvan 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 jednostavno, zar ne?
06:25
(Laughter)
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(Smijeh)
06:27
If-then rewards work really well for those sorts of tasks,
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Ako-onda nagrade su dobre
za ovakvu vrstu zadataka,
06:32
where there is a simple set of rules
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gdje postoji set jednostavnih pravila i jasna destinacija
06:34
and a clear destination to go to.
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prema kojoj se ide.
06:37
Rewards, by their very nature,
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Nagrade, po svojoj prirodi,
06:39
narrow our focus, concentrate the mind;
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sužavaju naš fokus, koncentriraju um.
06:41
that's why they work in so many cases.
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Zato funkcioniraju u mnogo slučajeva.
06:43
So, for tasks like this,
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I zato, za zadatke poput ovog,
06:45
a narrow focus, where you just see the goal right there,
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uski fokus, gdje odmah tamo vidite cilj,
06:48
zoom straight ahead to it,
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zumirate ravno na njega,
06:50
they work really well.
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nagrade su sasvim dovoljne.
06:52
But for the real candle problem,
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Ali za pravi problem sa svijećom,
06:54
you don't want to be looking like this.
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ne želite gledati ovako.
06:56
The solution is on the periphery. You want to be looking around.
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Rješenje nije ovdje. Rješenje je na periferiji.
Želite gledati uokolo.
06:59
That reward actually narrows our focus
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Nagrade nam u stvari sužavaju fokus
07:02
and restricts our possibility.
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i ograničavaju nam mogućnosti.
07:04
Let me tell you why this is so important.
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Dozvolite da vam objasnim zašto je to toliko važno.
07:07
In western Europe,
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U zapadnoj Europi,
u mnogim dijelovima Azije,
07:10
in many parts of Asia,
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07:11
in North America, in Australia,
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u Sjevernoj Americi, u 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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i više ovakvih poslova.
07:22
That routine, rule-based, left-brain work --
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Ta rutina, zasnovana na pravilima i lijevoj strani mozga,
07:25
certain kinds of accounting, financial analysis,
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neke vrste računovodstva, neke vrste financijskih analiza,
07:27
computer programming --
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neke vrste računalnog programiranja,
07:29
has become fairly easy to outsource,
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postalo je jednostavno eksternalizirati,
07:31
fairly easy to automate.
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prilično jednostavno automatizirati.
07:33
Software can do it faster.
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Softver to može brže.
07:35
Low-cost providers can do it cheaper.
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Jeftini posrednici širom svijeta mogu to napraviti jeftinije.
07:38
So what really matters
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Ono što je zapravo važno je više na desnoj strani mozga
07:41
are the more right-brained creative, conceptual kinds of abilities.
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kreativnost, konceptualne vrste vještina.
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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Jesu li problemi s kojima se suočavate, čak i problemi
07:52
or even the problems we've been talking about here,
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o kojima smo ovdje pričali,
07:55
do they have a clear set of rules,
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vrste problema -- imaju li jasan set pravila,
i jedno jedino rješenje? Ne.
07:58
and a single solution?
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07:59
No. The rules are mystifying.
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Pravila mistificiraju.
08:02
The solution, if it exists at all,
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Rješenje, ako uopće postoji,
08:04
is surprising and not obvious.
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iznenađujuće je i nije očito.
08:07
Everybody in this room
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Svi u ovoj sobi
08:09
is dealing with their own version of the candle problem.
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nose se s vlastitom verzijom
problema sa svijećom.
08:14
And for candle problems of any kind,
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I za problem sa svijećom bilo koje vrste,
08:17
in any field,
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u bilo kojem polju,
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 puno poslova,
08:26
don't work!
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ne funkcioniraju.
08:28
It makes me crazy.
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To me izluđuje.
08:30
And here's the thing.
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1936
I to nije -- evo u čemu je stvar.
08:32
This is not a feeling.
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To nije osjećaj.
08:35
Okay? I'm a lawyer; I don't believe in feelings.
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3094
OK? Ja sam pravnik. Ja ne vjerujem u osjećaje.
08:38
This is not a philosophy.
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To nije filozofija.
08:42
I'm an American; I don't believe in philosophy.
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Ja sam Amerikanac. Ja ne vjerujem u filozofiju.
08:44
(Laughter)
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1687
(Smijeh)
08:47
This is a fact --
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2968
To je činjenica.
08:50
or, as we say in my hometown of Washington, D.C.,
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2444
Ili, kako to kažemo u mom rodnom gradu Washington D.C.
08:52
a true fact.
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istinita činjenica.
08:54
(Laughter)
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(Smijeh)
(Pljesak)
08:57
(Applause)
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09:00
Let me give you an example.
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Dozvolite da vam dam primjer na 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 vam ja ne pričam priču. Ja gradim slučaj.
09:06
Ladies and gentlemen of the jury, some evidence:
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Dame i gospodo porotnici, neki dokazi:
09:08
Dan Ariely, one of the great economists of our time,
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Dan Ariely, jedan od velikih ekonomista našeg vremena,
09:11
he and three colleagues did a study of some MIT students.
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on i troje kolega, napravili su studiju na studentima sa MIT-a.
09:15
They gave these MIT students a bunch of games,
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2650
Dali su tim studentima s MIT-a gomilu igara.
09:18
games that involved creativity,
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1976
Igre koje uključuju kreativnost,
09:20
and motor skills, and concentration.
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i motoričke vještine, i koncentraciju.
09:22
And the offered them, for performance,
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2081
I ponudili su im, za njihovu izvedbu,
09:24
three levels of rewards:
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2014
tri razine 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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OK? Ako ste stvarno dobri, dobijete veliku nagradu i tako naniže.
09:35
What happened?
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Što se dogodilo? Sve dok je zadatak uključivao samo mehaničke vještine
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 radili kao što se i očekivalo:
09:41
the higher the pay, the better the performance.
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što ste više platili, bolja je bila izvedba.
09:44
Okay?
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1151
OK? Ali jednom kada bi zadatak tražio
09:46
But once the task called for even rudimentary cognitive skill,
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samo rudimentarne kognitivne vještine,
09:51
a larger reward led to poorer performance.
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veća nagrada vodila je ka slabijoj izvedbi.
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
"OK pogledajmo postoji li neka kulturološka pristranost.
10:00
Let's go to Madurai, India and test it."
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1953
Hajdemo u Madurai, Indija i ispitajmo ovo."
10:02
Standard of living is lower.
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1570
Standard života je tamo niži.
10:04
In Madurai, a reward that is modest in North American standards,
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U Maduraiu, nagrada koja je skromna za američke standarde,
10:07
is more meaningful there.
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tamo je značajnija.
10:09
Same deal. A bunch of games, three levels of rewards.
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3402
Jednaka stvar. Gomila igara, tri razine nagrada.
10:13
What happens?
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Što se dogodilo?
10:15
People offered the medium level of rewards
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3000
Ljudi kojima je ponuđena srednja razina nagrada
10:18
did no better than people offered the small rewards.
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nisu imali ništa bolju izvedbu od onih s malim nagradama.
10:20
But this time, people offered the highest rewards,
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4479
Ali ovaj puta, ljudi kojima su ponuđene najveće nagrade,
10:25
they did the worst of all.
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1496
bili su najgori od svih.
10:28
In eight of the nine tasks we examined across three experiments,
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U osam od devet zadataka koje smo pregledali kroz tri eksperimenta,
10:32
higher incentives led to worse performance.
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viši poticaji vodili su ka lošijoj izvedbi.
10:37
Is this some kind of touchy-feely socialist conspiracy going on here?
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5976
Događa li se ovdje neka intimna
socijalistička zavjera?
10:43
No, these are economists from MIT,
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2776
Ne. To su ekonomisti s MIT-a,
10:46
from Carnegie Mellon, from the University of Chicago.
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2702
s Carnegie Mellona, sa Sveučilišta u Chicagou.
10:49
Do you know who sponsored this research?
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I znate li tko je sponzorirao to istraživanje?
10:51
The Federal Reserve Bank of the United States.
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4120
Banka Federalnih Rezervi SAD-a.
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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Pogledajmo preko oceana u London School of Economics.
11:00
LSE, London School of Economics,
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2544
LSE, London School of Economics.
11:03
alma mater of eleven Nobel Laureates in economics.
239
663160
3444
Alma mater 11 nobelovaca iz ekonomskih znanosti.
11:06
Training ground for great economic thinkers
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666628
2508
Mjesto za obuku velikih mislilaca ekonomije
11:09
like George Soros, and Friedrich Hayek,
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2976
poput George Sorosa, i Friedrich Hayeka,
11:12
and Mick Jagger.
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i Mick Jaggera. (Smijeh)
11:13
(Laughter)
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1299
11:14
Last month,
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1770
Prošli mjesec, samo prošlog mjeseca,
11:16
just last month,
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1499
11:18
economists at LSE looked at 51 studies
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3025
ekonomisti s LSE-a su pregledali 51 studiju
11:21
of pay-for-performance plans, inside of companies.
247
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planova plaćanja po učinku, u raznim kompanijama.
11:24
Here's what they said:
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1451
Evo što su ekonomisti rekli, "Otkrili smo kako financijski poticaji
11:25
"We find that financial incentives
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1796
11:27
can result in a negative impact on overall performance."
250
687455
4053
mogu rezultirati negativnim utjecajem na ukupnu izvedbu."
11:32
There is a mismatch between what science knows
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3699
Postoji nesklad između onoga što znanost poznaje
11:36
and what business does.
252
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1477
i onoga što poslovni svijet čini.
11:38
And what worries me, as we stand here in the rubble
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3277
I ono što me brine, dok stojimo ovdje u kršu
11:41
of the economic collapse,
254
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1675
ekonomske propasti,
11:43
is that too many organizations are making their decisions,
255
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3976
jest da jako puno organizacija
donosi svoje odluke,
11:47
their policies about talent and people,
256
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2372
svoje politike o talentima i ljudima,
11:49
based on assumptions that are outdated,
257
709556
4127
bazirane na pretpostavkama koje su zastarjele, neispitane,
11:53
unexamined,
258
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1190
11:54
and rooted more in folklore than in science.
259
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2762
i ukorijenjene više u folkloru nego u znanosti.
11:58
And if we really want to get out of this economic mess,
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2572
I ako stvarno želimo izaći iz tog ekonomskog nereda,
12:01
if we really want high performance
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2093
i ako stvarno želimo visoku izvedbu na tim
12:03
on those definitional tasks of the 21st century,
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2447
definiranim zadacima 21. stoljeća,
12:05
the solution is not to do more of the wrong things,
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5940
rješenje je ne raditi još više pogrešnih stvari.
12:11
to entice people with a sweeter carrot,
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2323
Mamiti ljude slađom mrkvom
12:14
or threaten them with a sharper stick.
265
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2399
ili im prijetiti oštrijim štapom.
12:16
We need a whole new approach.
266
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1654
Trebamo skroz novi pristup.
12:18
The good news is that the scientists
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1976
I dobra vijest u svemu tome jest da su nam znanstvenici
12:20
who've been studying motivation have given us this new approach.
268
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3188
koji su proučavali motivaciju dali taj novi pristup.
12:23
It's built much more around intrinsic motivation.
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3095
To je pristup koji je više izgrađen oko intrinzičnih motivatora.
12:26
Around the desire to do things because they matter,
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2455
Na želji da se rade stvari zato što su važne,
12:28
because we like it, they're interesting, or part of something important.
271
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3563
jer ih volimo, jer su zanimljive,
i zato jer su dio nečega 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 poslovni sustav
12:36
revolves around three elements:
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1701
vrti se oko tri elementa:
12:37
autonomy, mastery and purpose.
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3251
autonomije, majstorstva i svrhe.
12:41
Autonomy: the urge to direct our own lives.
275
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2976
Autonomija, potreba da usmjeravamo svoje živote.
12:44
Mastery: the desire to get better and better at something that matters.
276
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4245
Majstorstvo, želja da budemo sve bolji u onome što nam je važno.
12:48
Purpose: the yearning to do what we do
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2707
Svrha, čežnja 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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3294
To su ključni elementi od kojih se gradi skroz novi operativni sustav
12:57
for our businesses.
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1441
našeg poslovnog svijeta.
12:59
I want to talk today only about autonomy.
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2561
Danas želim govoriti samo o autonomiji.
13:03
In the 20th century, we came up with this idea of management.
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2976
U 20. stoljeću, osmislili smo menadžment.
13:06
Management did not emanate from nature.
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2294
Menadžment nije emanentan u prirodi.
13:08
Management is not a tree, it's a television set.
284
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3658
Menadžment je poput -- to nije drvo.
To je kao televizija.
13:12
Somebody invented it.
285
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2224
OK? Netko ga je izmislio.
13:14
It doesn't mean it's going to work forever.
286
794408
2000
I to ne znači da će funkcionirati vječno.
13:16
Management is great.
287
796432
2007
Menadžment je sjajan.
13:18
Traditional notions of management are great
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2054
Tradicionalno poimanje menadžmenta je sjajno
13:20
if you want compliance.
289
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1595
ako želite suglasnost.
13:22
But if you want engagement, self-direction works better.
290
802160
3183
Ali ako želite angažman, samousmjeravanje je bolje.
13:25
Some examples of some kind of radical notions of self-direction.
291
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4040
Dozvolite da vam dam nekoliko primjera nekih vrsta radikalnih
ideja o samousmjeravanju.
13:29
You don't see a lot of it,
292
809431
2936
Što to znači -- ne vidite toga puno,
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 stvarno interesantnog.
13:35
what it means is paying people adequately and fairly, absolutely --
294
815891
3643
Jer to znači plaćati ljude adekvatno
i potpuno pošteno.
13:39
getting the issue of money off the table,
295
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2285
Micanje problema novca s dnevnog reda.
13:41
and then giving people lots of autonomy.
296
821867
1975
I davanja ljudima velike autonomije.
13:43
Some examples.
297
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1270
Dozvolite da vam dam nekoliko primjera.
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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1508
Čini mi se manje od polovice.
13:51
(Laughter)
300
831160
1405
(Smijeh)
13:52
Atlassian is an Australian software company.
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4547
Atlassian je australska kompanija koja se bavi softverom.
13:57
And they do something incredibly cool.
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1971
I oni rade nešto stvarno sjajno.
13:59
A few times a year they tell their engineers,
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2744
Nekoliko puta godišnje kažu svojim inžinjerima,
14:01
"Go for the next 24 hours and work on anything you want,
304
841923
4006
"Idite i slijedeća 24 sata radite na čemu god želite,
14:05
as long as it's not part of your regular job.
305
845953
2110
sve dok to nije dio vašeg redovnog posla.
Radite na čemu god hoćete."
14:08
Work on anything you want."
306
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1390
14:09
Engineers use this time to come up with a cool patch for code,
307
849501
3763
Tako inžinjeri koriste to vrijeme kako bi došli
do "cool" ispravaka za kodove, elegantnih prečaca.
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
I onda prezentiraju sve te stvari koje su razvili
14:17
to their teammates, to the rest of the company,
310
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2720
svojim članovima tima, ostatku kompanije,
14:20
in this wild and woolly all-hands meeting at the end of the day.
311
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3952
na tom divljem i razuzdanom zajedničkom sastanku
na kraju dana.
14:24
Being Australians, everybody has a beer.
312
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2195
I onda, s obzirom da su Australci, svi odu na pivu.
14:26
They call them FedEx Days.
313
866683
2020
Zovu ih "Dani FedEx-a".
14:29
Why?
314
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1029
Zašto? Jer morate dostaviti 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
To je lijepo. To nije loše.To je velika povreda zaštitnog znaka.
14:36
It's a huge trademark violation, but it's pretty clever.
317
876568
2668
Ali to je jako pametno.
14:39
(Laughter)
318
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1337
(Smijeh)
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
stvorio je cijeli niz softverskih zakrpi
14:44
that might never have existed.
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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
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3068
I to im je toliko dobro išlo da je Atlassian odlučio podići sve na slijedeću razinu
davši im 20 posto vremena.
14:49
with 20% time --
323
889252
1058
14:50
done, famously, at Google --
324
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2168
Taj pristup je popularizirao Google.
14:52
where engineers can spend 20% of their time
325
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2062
Gdje inžinjeri mogu raditi, potrošiti 20 posto svog vremena
14:54
working on anything they want.
326
894612
1945
radeći na čemu god žele.
14:56
They have autonomy over their time,
327
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1667
Oni imaju autonomnost nad svojim vremenom,
14:58
their task, their team, their technique.
328
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2213
svojim zadacima, svojim timom, svojim tehnikama.
15:00
Radical amounts of autonomy.
329
900509
1954
OK? Radikalne količine autonomije.
15:02
And at Google, as many of you know,
330
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3926
A u Googleu, kao što većina vas zna,
15:06
about half of the new products in a typical year
331
906437
2333
se oko pola novih proizvoda u tipičnoj godini
15:08
are birthed during that 20% time:
332
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2476
rodi upravo za vrijeme "20 posto vremena".
15:11
things like Gmail, Orkut, Google News.
333
911294
2842
Stvari poput Gmaila, Orkuta, Google Newsa.
15:14
Let me give you an even more radical example of it:
334
914160
2920
Dozvolite mi da vam dam jedan, još radikalniji primjer.
15:17
something called the Results Only Work Environment (the ROWE),
335
917104
3873
Nečega što se zove "Radna okolina orijentirana samo na rezultate".
ROWE (akronim od Results Only Work Environment)
15:21
created by two American consultants,
336
921001
2066
Stvorena od strane dvaju američkih konzultanata,
15:23
in place at a dozen companies around North America.
337
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2679
za desetak kompanija širom Sjeverne Amerike.
15:25
In a ROWE people don't have schedules.
338
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2605
U ROWE-u ljudi nemaju raspored.
15:29
They show up when they want.
339
929728
1647
Oni se pojavljuju kada žele.
15:31
They don't have to be in the office at a certain time, or any time.
340
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4054
Ne moraju biti u uredu u neko određeno rijeme,
ili uopće.
15:35
They just have to get their work done.
341
935477
1945
Oni samo moraju obaviti svoj posao.
15:37
How they do it, when they do it, where they do it, is totally up to them.
342
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4159
Kako to rade, kada to rade,
gdje to rade, ovisi isključivo o njima.
15:42
Meetings in these kinds of environments are optional.
343
942644
3331
Sastanci u takvoj vrsti okruženja su neobavezni.
Što se događa?
15:47
What happens?
344
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1461
15:48
Almost across the board,
345
948524
1711
Skoro u svim područjima produktivnost raste,
15:50
productivity goes up, worker engagement goes up,
346
950259
3210
angažiranost radnika raste,
15:53
worker satisfaction goes up, turnover goes down.
347
953493
3643
zadovoljstvo radnika raste, promjena radnika opada.
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
959160
2612
To su ključni elementi novog načina kako obavljamo stvari.
16:01
Some of you might look at this and say,
350
961796
2340
Sada, neki od vas bi mogli ovo gledati i reći,
16:04
"Hmm, that sounds nice, but it's Utopian."
351
964160
2460
"Hmm, to zvuči zgodno. Ali to je utopija."
16:07
And I say, "Nope.
352
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1480
A ja ću vam reći, "Ne. Ja 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 1990-ih, Microsoft je pokrenuo
enciklopediju Encarta.
16:16
They had deployed all the right incentives,
355
976160
3317
Iskoristili su sve prave poticaje.
Sve prave poticaje. Platili su profesionalcima da
16:19
They paid professionals to write and edit thousands of articles.
356
979501
3849
pišu i uređuju tisuće članaka.
16:23
Well-compensated managers oversaw the whole thing
357
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2589
Dobro plaćeni menadžeri su nadgledali cijelu stvar
16:25
to make sure it came in on budget and on time.
358
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2258
kako bi bili sigurni da će ostati unutar zadanog budžeta i vremena.
16:30
A few years later, another encyclopedia got started.
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Nekoliko godina kasnije druga enciklopedija je započeta.
16:32
Different model, right?
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Drugačiji model, točno?
16:35
Do it for fun.
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Radili su to iz zabave. Nitko nije bio plaćen ni cent, ni Euro ni Yen.
16:37
No one gets paid a cent, or a euro or a yen.
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Radili su jer im se sviđalo.
16:41
Do it because you like to do it.
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Kada biste, samo prije 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 do nekog ekonomiste, bilo gdje,
16:47
"Hey, I've got these two different models for creating an encyclopedia.
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i rekli, "Hey, imam ova dva modela na raspolaganju za stvaranje enciklopedije.
16:51
If they went head to head, who would win?"
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Kada bi se suprotstavili, tko bi pobijedio?"
16:53
10 years ago you could not have found a single sober economist
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Prije 10 godina ne biste našli niti jednog trijeznog ekonomistu nigdje
16:57
anywhere on planet Earth
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na planetu Zemlja,
16:59
who would have predicted the Wikipedia model.
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koji bi predvidio Wikipedijin model.
17:02
This is the titanic battle between these two approaches.
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To je titanska borba između dva pristupa.
17:05
This is the Ali-Frazier of motivation, right?
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To je za motivaciju poput meča Ali-Frazier. Točno?
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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Točno? Intrinzični motivatori protiv ekstrinzičnih motivatora.
17:13
Autonomy, mastery and purpose,
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Autonomija, majstorstvo i svrha,
17:15
versus carrot and sticks, and who wins?
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nasuprot mrkve i štapa. Tko će pobijediti?
17:17
Intrinsic motivation, autonomy, mastery and purpose, in a knockout.
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Intrinzični motivatori, autonomija, majstorstvo i svrha,
nokautom. Dozvolite mi da sažmem.
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 nesklad između onoga što znanost zna i onoga što poslovni svijet radi.
A evo što znanost zna.
17:28
Here is what science knows.
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17:29
One: Those 20th century rewards,
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Jedan: Te nagrade iz 20. stoljeća,
17:31
those motivators we think are a natural part of business,
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ti motivatori za koje mislimo da su prirodni dio posla,
17:34
do work, but only in a surprisingly narrow band of circumstances.
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funkcioniraju, ali samo u iznenađujuće uskom pojasu situacija.
17:38
Two: Those if-then rewards often destroy creativity.
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Dva: Te 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 uspješne izvedbe
nije u nagradama i kaznama,
17:46
but that unseen intrinsic drive--
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već u nevidljivom intrinzičnom pokretaču.
17:48
the drive to do things for their own sake.
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Pokretaču da se stvari rade zbog njih samih.
17:51
The drive to do things cause they matter.
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Pokretaču da se stvari rade jer su važne.
17:53
And here's the best part.
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I evo najboljeg dijela. Evo najboljeg dijela.
17:55
We already know this.
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Već to znamo. Znanost je potvrdila ono što znamo u našim srcima.
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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Tako, u slučaju da popravimo taj nesklad
između onoga što znanost zna i što poslovni svijet radi,
18:03
if we bring our motivation, notions of motivation
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ako dovedemo motivaciju, ideje motivacije
18:06
into the 21st century,
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u 21. stoljeće,
18:08
if we get past this lazy, dangerous, ideology
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ako savladamo tu lijenu, opasnu, ideologiju
18:12
of carrots and sticks,
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mrkve i štapa,
18:14
we can strengthen our businesses,
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možemo osnažiti naše poslove,
18:17
we can solve a lot of those candle problems,
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možemo riješiti mnoge probleme sa svijećom,
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 promijeniti svijet.
18:25
I rest my case.
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Ovdje ću stati.
18:27
(Applause)
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(Pljesak)
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