1 00:00:00,030 --> 00:00:03,970 Welcome to our second edition of Fire and Wire. 2 00:00:03,990 --> 00:00:10,770 And I'm absolutely delighted that as we've come to the end of our recent three days at Oxford period where 3 00:00:10,770 --> 00:00:16,290 we've been thinking about how we can improve wellbeing in the workplace and what we could do better, 4 00:00:17,070 --> 00:00:20,670 It is appropriate that today we have Professor John Emmanuel. 5 00:00:20,670 --> 00:00:24,120 Janette, who is vice principal at Harris Manchester College. 6 00:00:24,360 --> 00:00:31,889 He is also Professor of Economics and behavioural Science at the City Business School and he's the director of the Well-Being Research Centre, 7 00:00:31,890 --> 00:00:35,610 which is based at Harris Manchester, but is a platform for the university. 8 00:00:35,610 --> 00:00:42,750 Young, Welcome and thank you so much for joining me today on Far Wide Conversation to share a little bit about your fabulous research. 9 00:00:42,810 --> 00:00:44,219 Well, thank you, Professor Tracy, 10 00:00:44,220 --> 00:00:50,430 for inviting us and for the opportunity to present some of our research and and applaud all the great work that's being done at the university. 11 00:00:50,520 --> 00:00:52,379 Wonderful. Well, there's so much being done. 12 00:00:52,380 --> 00:00:59,400 And I met John just a couple of weeks ago when we were opening the Thriving at Oxford launch, and I was so struck by the data you were presenting, 13 00:00:59,400 --> 00:01:04,440 I just felt it was really important for colleagues and the wider world just to hear a little bit 14 00:01:04,440 --> 00:01:09,210 about the actual fundamental research that's going into why wellbeing matters at the workplace. 15 00:01:09,420 --> 00:01:14,300 Because quite often people question whether this is just a nice to have and does it really make a difference. 16 00:01:14,310 --> 00:01:18,540 So we're going to get into that. But before we do, tell us a little bit about you. 17 00:01:18,540 --> 00:01:27,449 Where are you from? Will put you to Oxford. Oh well, I'm from Belgium and I grew up there and then that part of my economic studies in Belgium, 18 00:01:27,450 --> 00:01:29,910 but I quite quickly actually left for the United States. 19 00:01:30,650 --> 00:01:34,800 Did part of the graduate studies at Harvard University, the Kennedy School, to be more precise. 20 00:01:35,130 --> 00:01:41,490 And that's where I got really the academic bug and ever since haven't looked back and went straight for an academic career, 21 00:01:41,730 --> 00:01:50,190 ultimately ending the Ph.D. at the London School of Economics. And I finished, I think about 2009 or 2000 tend to be more precise. 22 00:01:50,610 --> 00:01:54,030 And then onto UCL University College, London for a lecture position. 23 00:01:54,270 --> 00:02:00,150 And in 2015, the great privilege of being invited to come to Oxford as an associate professor at the Site Business School. 24 00:02:00,450 --> 00:02:05,159 And it's been a wonderful ride ever since. So great set of experiences to draw from. 25 00:02:05,160 --> 00:02:11,910 So tell me a little bit about sort of how you then got into the whole wellbeing aspect of, of economics. 26 00:02:12,030 --> 00:02:18,149 Oh well, thank you. It was really the beginnings of my Ph.D. was about something quite different was political economy, 27 00:02:18,150 --> 00:02:22,680 the median voter theorem, all that kind of interesting welfare state analysis type of stuff. 28 00:02:23,460 --> 00:02:30,900 And at some point I bumped into a dataset and had a question On a scale from 1 to 10, how satisfied are you with your lives these days? 29 00:02:31,380 --> 00:02:37,170 And I sort of had a eureka moment thinking, wait a second, this is isn't this the most important thing? 30 00:02:37,170 --> 00:02:38,700 Is this isn't this the ultimate outcome? 31 00:02:39,120 --> 00:02:44,550 And sure, that could be sounding a bit like utilitarian, but it felt really important and something that we had overlooked, 32 00:02:44,850 --> 00:02:51,670 especially so when you look at welfare states, always the question arises, but what is the better way of shaping up a society? 33 00:02:51,690 --> 00:02:56,009 Is a coordinated market economy, a liberal market economy, state capitalism, and in a way, 34 00:02:56,010 --> 00:03:01,170 the answer to the question of life satisfaction on a population wide basis can give us answers to that. 35 00:03:01,530 --> 00:03:05,460 And so once I discovered that item, it became sort of my workhorse. 36 00:03:05,970 --> 00:03:09,240 And this is back in around 2010. And in addition to that, 37 00:03:09,240 --> 00:03:16,080 I discovered a wonderful community of mostly labour economists and people of psychology and positive psychology, to be more precise. 38 00:03:16,530 --> 00:03:19,439 And they just welcomed me into the family of wellbeing scholars. 39 00:03:19,440 --> 00:03:25,200 And I've just been focussed on on those items and building out that community myself ever since. 40 00:03:25,200 --> 00:03:27,419 And it's been wonderful. Well, as ever it's a, it's a, 41 00:03:27,420 --> 00:03:34,889 it's a salient point you make about the serendipity often of what you end up spending your life's research career in is just a moment, 42 00:03:34,890 --> 00:03:40,049 a chance encounter or a chance question that then you realise, Wow, how come we don't know about that? 43 00:03:40,050 --> 00:03:46,260 And then off you go. So tell us a little bit more about being direct to the Wellbeing Research Centre and the types of people that are there. 44 00:03:46,260 --> 00:03:48,569 I mean, are there many economists now in the space? 45 00:03:48,570 --> 00:03:54,270 If you've been a sort of lightning rod around which people have sort of been attracted to it or is it very interdisciplinary, 46 00:03:54,270 --> 00:03:58,229 just tell us a little bit about that as a platform for the interesting story, Interdisciplinary. 47 00:03:58,230 --> 00:04:03,809 So the Wellbeing Research Centre is a sort of an interdisciplinary group of now about about 15 scholars, 48 00:04:03,810 --> 00:04:08,370 mostly postdocs, and we do the empirical science of well-being. 49 00:04:08,370 --> 00:04:12,419 So it has a slightly economic bent. That being said, it is interdisciplinary. 50 00:04:12,420 --> 00:04:18,390 So if people from doing their pieces in social policy and sociology and philosophy, they're all with us. 51 00:04:18,660 --> 00:04:23,879 I think one of the reasons why it is so important to build a platform for the university. 52 00:04:23,880 --> 00:04:29,970 So we have fortnightly seminars and we drag in a lot of it from different departments because wellbeing and mental health, 53 00:04:30,150 --> 00:04:33,210 as you well know, sort of cuts across a number of departments. 54 00:04:33,570 --> 00:04:39,330 And what you'll typically find most universities around the world is that you'll have people taking an interest in wellbeing, 55 00:04:39,330 --> 00:04:46,979 how we feel about life or substance or domains of it, like job satisfaction, but it's sort of relatively isolated in their departments. 56 00:04:46,980 --> 00:04:49,290 And so hence the need, I think, and frankly, 57 00:04:49,370 --> 00:04:55,800 that the latent demand for sort of a platform also here at the university because of some amazing work being done and the philosophy department, 58 00:04:56,010 --> 00:04:59,790 Global Priorities Institute, obviously psychiatry and experimental. 59 00:04:59,870 --> 00:05:06,769 Psychology and economics. And of course, I was at the business school and so college became a great place thanks to a 60 00:05:06,770 --> 00:05:13,730 founding donation to set up sort of an in a holding environment to do this. 61 00:05:14,360 --> 00:05:20,930 And it's been wonderful ever since. So we really became that platform, I think, for the university, and we found it in 2019. 62 00:05:21,260 --> 00:05:24,680 And ever since, frankly, we haven't looked back and has grown an influence. 63 00:05:24,680 --> 00:05:29,900 And now it's not just a platform for scholars across the university, but also frankly, around the world. 64 00:05:30,230 --> 00:05:34,520 And so people zoom in every other week into our seminars. 65 00:05:34,520 --> 00:05:36,079 They contribute to our seminars. 66 00:05:36,080 --> 00:05:43,130 We've hosted a massive conference that had from the CEO of Unilever to an economist, the Nobel Prize winner to the prime minister of Iceland. 67 00:05:43,400 --> 00:05:45,660 So we've really become quite something fantastic. 68 00:05:45,680 --> 00:05:50,989 Well, I encourage our listeners to get on the website and check it out and turn up at some of the seminars there. 69 00:05:50,990 --> 00:05:55,340 And as you say, you know, the melting pot that you can create in terms of interdisciplinarity, 70 00:05:55,640 --> 00:05:58,250 you know, within the collegiate environment is is just fantastic here. 71 00:05:58,250 --> 00:06:02,720 And it's wonderful to see a really great example, you know, of that working so well. 72 00:06:03,290 --> 00:06:08,900 Now, a lot of colleagues will say, you know, work is good for your wellbeing, you know, 73 00:06:09,500 --> 00:06:15,889 and I know that you're doing a little research to sort of measure that and tell us a little bit about some of the recent work that you've been doing, 74 00:06:15,890 --> 00:06:19,879 where we can better understand what contributes to our wellbeing and the impact it has. 75 00:06:19,880 --> 00:06:23,780 I know you've been doing some amazing work with various platforms, so be really great. 76 00:06:23,780 --> 00:06:28,969 I think for our listeners just to hear about some of the the sort of as a, as a sort of physical scientist myself, 77 00:06:28,970 --> 00:06:32,210 the sort of hard core physical data that supports that this thing really does matter. 78 00:06:32,390 --> 00:06:37,600 It matters greatly. But let me take a step back and just emphasises the importance of work to begin with. 79 00:06:37,910 --> 00:06:47,720 So if we and I mean we spend a lot of time of our waking hours at work, so typically about 8 hours a day, five days out of out of the week. 80 00:06:47,990 --> 00:06:53,840 And so it should not come as a surprise then that the quality of work or having it work in the first place is incredibly important. 81 00:06:53,840 --> 00:06:58,850 And our general well-being, as measured through, say, life satisfaction and the way we've picked up on that, 82 00:06:58,850 --> 00:07:03,050 is simply sort of looking at life satisfaction, splitting it between people with jobs and without jobs. 83 00:07:03,440 --> 00:07:10,009 And we find there's about a point difference on a scale from 0 to 10 between having a job and not having a job slightly, 84 00:07:10,010 --> 00:07:13,400 actually slighter slightly bigger differences for men. 85 00:07:13,910 --> 00:07:20,870 Actually, interestingly, and the reason why is not just a pecuniary element, it's not just a paycheque attached to a job. 86 00:07:21,140 --> 00:07:28,280 It's because a job brings you social identity, ties and connections, learning on the job and it brings a structure to your week. 87 00:07:28,280 --> 00:07:37,280 And we kind of need that. You know, I lost that during the pandemic, didn't resign, and that came to bite us to some extent as the pandemic went on. 88 00:07:37,640 --> 00:07:43,160 So I cannot emphasise enough the importance of work to begin with and feeding our general well-being. 89 00:07:43,490 --> 00:07:48,530 But then you're quite right, most of my research has then sort of went into the workplace and looked at 90 00:07:48,530 --> 00:07:52,579 the qualitative elements of work and the importance of how you feel at work. 91 00:07:52,580 --> 00:07:53,780 So tell us a little bit about that. 92 00:07:53,780 --> 00:08:00,380 I know you've used a particular recruitment website, so maybe just explain that if folks don't know what that is and how you've then, 93 00:08:00,680 --> 00:08:06,440 you know, managed to piggyback on top of that brilliantly to get extraordinary amounts of data. 94 00:08:06,440 --> 00:08:07,579 So give us a little. Yes. 95 00:08:07,580 --> 00:08:16,100 Well, as academics, we tend to find our jobs on a platform like shops, jobs or at Duke, but most of the jobs around the university as well. 96 00:08:16,100 --> 00:08:20,660 In fact, I think there's about 250 jobs currently advertised on a platform called indeed NOLA.com, 97 00:08:21,350 --> 00:08:25,340 which is, I think, the world's largest job search platform. Think of it as the Google for jobs. 98 00:08:26,300 --> 00:08:32,960 And they have traffic of about 250 million people a month coming to the website, people in jobs without jobs, 99 00:08:33,320 --> 00:08:36,680 etc., just looking for opportunities more generally or scouting out, if you will. 100 00:08:37,040 --> 00:08:42,380 And we've been able to piggyback on that huge traffic to essentially develop and integrate 101 00:08:42,800 --> 00:08:46,790 and push people towards answering some questions around their current or past employers. 102 00:08:47,360 --> 00:08:54,410 And Professor Tracy, it's just been extraordinary. So this started late 2019, so just pre-pandemic, which we can leverage in the data set as well. 103 00:08:55,100 --> 00:08:58,669 And we now have we when I presented two weeks ago, 104 00:08:58,670 --> 00:09:01,790 I put down the number of 50 million people have reviewed their companies and 105 00:09:01,790 --> 00:09:05,890 how they felt working at those places and why by now it's actually 70 million. 106 00:09:05,900 --> 00:09:11,150 I checked the data again. So they are coming in with the thousands of thousands a day, most of the U.S., 107 00:09:11,160 --> 00:09:14,720 but also the UK and Canada and about 18 other major international markets. 108 00:09:15,050 --> 00:09:23,209 And so it's become, frankly, the the world's largest study on workplace wellbeing and is giving us a unique insight into how people feel at work. 109 00:09:23,210 --> 00:09:27,260 And so the way we measure it and I really insist that this is super important to get 110 00:09:27,560 --> 00:09:32,330 is ultimately workplace wellbeing is about how we feel at work and about our work. 111 00:09:32,330 --> 00:09:41,510 So there's an effective component to experience whether you are experiencing happiness at work or experiencing stress or worry, 112 00:09:41,780 --> 00:09:46,579 somebody who is this colour of pain. These the experience of negative emotions obviously is very important. 113 00:09:46,580 --> 00:09:52,790 We capture that through a stress item and then there's more evaluative items, you know, are you satisfied with your job? 114 00:09:52,790 --> 00:09:56,510 Are you do you find it's worthwhile a meaningful the job you do? 115 00:09:57,020 --> 00:10:04,030 And it's those sort of four items to evaluative and to. A fact of our experience so that we put together an A score or an index, if you will. 116 00:10:04,210 --> 00:10:09,190 We also look at them separately because there's some interesting ways that they sometimes deviate from each other. 117 00:10:09,190 --> 00:10:12,249 They don't always correlate perfectly, and that's our outcome measure. 118 00:10:12,250 --> 00:10:15,790 So it's extraordinary in 17 million, this is unbelievable. 119 00:10:15,790 --> 00:10:21,130 How difficult was it to get them to, you know, agree to do this research project? 120 00:10:21,140 --> 00:10:28,719 Well, it's a good question. It's yes or no. It took some time to really get them on board with a high end academic approach to this. 121 00:10:28,720 --> 00:10:31,480 And yeah, and the benefits of doing it academically, 122 00:10:31,480 --> 00:10:37,629 which are now actually over time have learned the benefits done, it gives it more credibility and independence. 123 00:10:37,630 --> 00:10:41,620 And academic papers are coming out based off of this work on the international media 124 00:10:41,980 --> 00:10:46,750 fix up a lot easier if it's academic independent academics working with these data. 125 00:10:46,750 --> 00:10:51,219 And so the Financial Times with a big spread on it just two weeks ago, they wouldn't get that attention. 126 00:10:51,220 --> 00:10:56,650 I think, if it was just a company doing their own thing. So it's a good sort of platform for them to advertise exactly what they're doing. 127 00:10:56,650 --> 00:10:59,709 It is a win win. Yeah, okay. But there was also latent demand. 128 00:10:59,710 --> 00:11:03,460 I think just they were a bit visionary in terms of doing this pre-COVID, 129 00:11:03,460 --> 00:11:10,480 but I've seen a lot of companies during COVID and now beyond thinking a lot more about workplace wellbeing, 130 00:11:11,350 --> 00:11:18,940 in part because they need to retain their talent or attract talent, and so they know just paycheques won't do it, won't cut it. 131 00:11:18,940 --> 00:11:22,239 And so they need to think more holistically about what they're offering. 132 00:11:22,240 --> 00:11:24,850 Well, it's, you know, really relevant, you know, as we think about, you know, 133 00:11:25,120 --> 00:11:30,069 the pay and conditions aspect, the the report that I'm, you know, hoping to receive, 134 00:11:30,070 --> 00:11:36,250 you know, towards the end of this year where we can think again more holistically about what we're able to do to make people's quality of life better. 135 00:11:36,250 --> 00:11:40,800 So tell us a little bit some of the top surprising findings for you all. 136 00:11:40,810 --> 00:11:47,110 The top line insights, one, and somewhat surprising is that the huge variation between industries, you know, within industries. 137 00:11:47,110 --> 00:11:56,239 So an industry that is very similar in kind would be the hamburgers flipping burgers and you'll find huge differences between say, 138 00:11:56,240 --> 00:12:02,050 a McDonald's or on an An in and out burger, which is on the West coast of the United States. 139 00:12:03,100 --> 00:12:09,760 And so there there is a lot of variation between how people experience work, even very similar in similar firms. 140 00:12:10,330 --> 00:12:17,649 It's the same for higher education. We find that higher education typically does quite well in terms of workplace, 141 00:12:17,650 --> 00:12:22,030 while being one of the industries that has a much higher school than than average. 142 00:12:22,040 --> 00:12:26,590 On general, we as a university are quite well actually pleased to hear that is good. 143 00:12:26,920 --> 00:12:30,700 Are we top of the list? We are near the very top of the list amongst higher education. 144 00:12:31,300 --> 00:12:37,210 It's the data are still coming in. I think there's already about 70 or so reviews come back from colleagues around, 145 00:12:37,390 --> 00:12:40,900 staff around the university, and we do slightly better than Cambridge, 146 00:12:40,900 --> 00:12:47,050 which which might please some of the people on this fall test and do better than actually most other higher education. 147 00:12:47,170 --> 00:12:50,200 But there's definitely a higher education element to the two, too. 148 00:12:50,200 --> 00:12:55,209 How is that different by some of those more effective purpose sense of paid sacrifice that Okay, yeah. 149 00:12:55,210 --> 00:13:00,190 So we as a university particularly well on that front, but all other higher education also does quite well. 150 00:13:00,190 --> 00:13:05,050 I think people realise that they're contributing to something larger than life and to advancing 151 00:13:05,350 --> 00:13:09,520 research and wisdom and knowledge and our collective sort of understanding of things. 152 00:13:10,120 --> 00:13:17,770 And they're proud of that. And that just gets revealed, if you will, through the more demonic or evaluative items. 153 00:13:19,030 --> 00:13:26,919 That being said, yes, there's other industries that don't do quite as well and where you then find sort of interesting elements, 154 00:13:26,920 --> 00:13:33,070 for example, if we look at the Thames Valley Police or the NHS here in Oxfordshire, 155 00:13:33,280 --> 00:13:42,250 and you'll find that the effect of item stress and happiness are not going very well, but that they do quite well on again on the purpose item. 156 00:13:42,820 --> 00:13:51,910 So fascinating insights on the processes that employers sort of think about which elements maybe, you know, it's good to be data led, you know, 157 00:13:51,910 --> 00:13:57,610 so that you can see where you've got the gaps and then it can help you as an employer start to think about where to focus some of the efforts. 158 00:13:57,820 --> 00:14:01,750 Exactly. And I want to raise that as well, because we don't just ask these outcome measures. 159 00:14:01,750 --> 00:14:05,410 We also ask about. So what might explain why you feel the way you do. 160 00:14:05,650 --> 00:14:08,979 And then we get into items such as flexibility. 161 00:14:08,980 --> 00:14:15,940 Are you being compensated fairly? Do you have a sense of belonging, trusts and so on and so forth and supportive managers, you name it. 162 00:14:16,600 --> 00:14:21,420 And what we find there is, is that we ask people what they think matters most, 163 00:14:21,430 --> 00:14:26,290 and we typically have sort of compensation come out on the top, which pleases the neoclassical economists. 164 00:14:26,770 --> 00:14:33,280 But the reality is if you don't actually run the analysis to see what actually is most correlated with people's wellbeing, 165 00:14:33,310 --> 00:14:38,650 but what are measured through fact or evaluations, you find a sense of belonging. 166 00:14:38,800 --> 00:14:42,610 The more social elements shine through and come to the very top. 167 00:14:42,670 --> 00:14:46,840 Interesting, interesting. I mean, that doesn't really surprised me as a neuroscientist. 168 00:14:46,840 --> 00:14:53,440 You know, I think, you know, there's so many ways that we can appreciate that, that sense of being together, the creativity that comes with, 169 00:14:53,440 --> 00:14:59,050 you know, belonging to something that again, is, you know, got a common purpose and that you're all pulling in the same direction. 170 00:14:59,450 --> 00:15:02,320 Brings rewards at all. Hard to capture. So that's really interesting. 171 00:15:02,340 --> 00:15:08,809 Allows come to the top and particularly in light of the pandemic and the fact that we're sort of still got this hybrid working model, 172 00:15:08,810 --> 00:15:14,720 you know, how would you say that result relates to some of the decisions around the return to work? 173 00:15:14,750 --> 00:15:20,989 It's a very important issue you raise, and I think it's under appreciate in part because people generally under appreciate the 174 00:15:20,990 --> 00:15:27,080 importance of a sense of belonging as a key driver of how you evaluate the quality of work. 175 00:15:27,350 --> 00:15:37,340 And so as we move in the pandemic to fully remote, in many instances, we sort of relied on a stock of social capital we had. 176 00:15:38,030 --> 00:15:43,429 But over the months, I think we all felt that we were starting to miss things as we ran down our stock, 177 00:15:43,430 --> 00:15:48,440 our social capital, and were lacking for social interactions and the ideas that flow from it. 178 00:15:49,250 --> 00:15:51,680 And then also just a human element, the human touch element. 179 00:15:52,490 --> 00:15:59,990 And so I think the first studies didn't pick up on this, but to the second generation studies coming back from the working from analysing, 180 00:15:59,990 --> 00:16:06,290 working from home really started pointing a direction that, that if you work remotely fully, 181 00:16:06,590 --> 00:16:12,169 then after about say six months or so, these things really come to how you both, 182 00:16:12,170 --> 00:16:17,809 the individual as well as the organisation and it undermines the sense of belonging, which that means that people also leave much more quicker. 183 00:16:17,810 --> 00:16:20,630 So a lot of people will never actually seen their colleagues before that resigned. 184 00:16:21,470 --> 00:16:25,070 And it also plays out actually on creativity, intellectual capital as well. 185 00:16:25,160 --> 00:16:32,750 Really interesting, really interesting. So tell us a little bit about sort of what data you've got that shows that this carries over to productivity. 186 00:16:33,020 --> 00:16:37,640 You know, say, in the private sector money. I know you have some really interesting data about track of the stock market, 187 00:16:38,210 --> 00:16:44,300 but what does this sort of produce quantifiable metrics that really can persuade an 188 00:16:44,300 --> 00:16:47,510 employer that this really does matter And you got to take this really seriously. 189 00:16:47,970 --> 00:16:52,100 It wasn't top of mind in this discussion because the university we think less about in 190 00:16:52,100 --> 00:16:56,900 our return on assets or firm value or stock market performance and that kind of stuff, 191 00:16:57,350 --> 00:17:06,830 But you bought out the industry. They've really, really taken to our research sort of showing the objective benefits of subjective well-being. 192 00:17:07,070 --> 00:17:11,630 And while we should all care about workplace solely for the good reasons, because it really, really matters, 193 00:17:11,780 --> 00:17:16,220 it has helps a lot to be able to show causal evidence for the first time in the field 194 00:17:17,030 --> 00:17:22,850 that how people feel at work has a measurable causal impact on how productive they are. 195 00:17:23,210 --> 00:17:25,130 And so we've done this in two major studies. 196 00:17:25,130 --> 00:17:32,150 The first one was actually a massive partnership with British Telecom, where we took a six years to get to causal inference, 197 00:17:32,480 --> 00:17:38,810 and we essentially pulsed every Thursday afternoon all of their calls centre employees for a whole long period every week. 198 00:17:38,990 --> 00:17:44,840 And we asked them, how are you feeling this week? And then we were able to tie that to the performance metrics now. 199 00:17:45,470 --> 00:17:49,700 So makes them quite scarily these people are really measured down to the second. 200 00:17:49,700 --> 00:17:53,900 So how many seconds are call the customer satisfaction coming back, how many sales A they do a week. 201 00:17:54,320 --> 00:18:03,889 And what we found is after a whole lot of econometrics and trying to nail causality and that will be for a whole other podcast is that we found 202 00:18:03,890 --> 00:18:11,660 that essentially one point difference in how you feel on a scale from zero to 10 to 12% increase the weekly sales and that is a causal estimate. 203 00:18:11,660 --> 00:18:15,380 And so it's so that really resonated out there in the field of industry. 204 00:18:15,860 --> 00:18:19,459 And that's the first time we've had causal field evidence. 205 00:18:19,460 --> 00:18:24,140 The wellbeing produces a measurable impact, economic impact on the private sector. 206 00:18:24,320 --> 00:18:27,530 It's always been intuitive. So everybody will see regulations on that result. 207 00:18:27,530 --> 00:18:32,419 That is well, it got published two weeks sorry, two months ago and Management Science, 208 00:18:32,420 --> 00:18:39,559 which is a top journal in our field and it's just it's important this kind of material because people have already always intuitively felt, 209 00:18:39,560 --> 00:18:43,310 oh, happy workers are more productive work or you should care because it matters. 210 00:18:43,610 --> 00:18:50,660 But they've never actually been able to nail it because there's a lot of variable bias risks of androgyny, idea, what have you. 211 00:18:50,900 --> 00:18:57,710 So that's exciting. But I know you're hinting at an even larger study because even if I make the case that 212 00:18:58,250 --> 00:19:02,210 improving somebody's well-being will make them a better worker or more productive worker, 213 00:19:03,290 --> 00:19:09,140 that doesn't necessarily give you a business case because it could come at a certain cost to try and raise people's wellbeing. 214 00:19:09,440 --> 00:19:14,389 And so the really hard nosed chief financial officers will still I've really got this question. 215 00:19:14,390 --> 00:19:14,900 I could, you know, 216 00:19:15,350 --> 00:19:22,700 and so I'm so pleased to say that in that massive partnership with indeed where we're learning so much about workplace well-being around the world, 217 00:19:23,090 --> 00:19:26,690 what we've now done is given that we have all these company reviews coming back, 218 00:19:26,960 --> 00:19:32,390 we've pulled them all together for the the those companies that were traded on the stock market in the United States. 219 00:19:32,810 --> 00:19:37,520 So all the companies that we have data for that are listed on the New York Stock Exchange or the Nasdaq. 220 00:19:38,000 --> 00:19:41,180 And the reason why is that, one, we've got lots of data because these are big companies. 221 00:19:41,180 --> 00:19:44,900 So we've got thousands and thousands of reviews, a lot more than from the University of Oxford at the moment. 222 00:19:46,010 --> 00:19:51,740 And what we do is we then tie that to their systematically produced financial data, 223 00:19:52,220 --> 00:19:55,760 so both their corporate financial data, so they have to report them this every quarter. 224 00:19:56,810 --> 00:20:04,480 And there we see a huge, very strong. Positive correlation between how people feel at work through our crowdsource measures and 225 00:20:04,480 --> 00:20:09,160 the actual objective metrics of these companies as they report on them every quarter. 226 00:20:09,910 --> 00:20:11,820 And there is a predictive element to this as well. 227 00:20:11,830 --> 00:20:17,320 So we then go one step further and we use our measures to see, well, how would they do in the stock market? 228 00:20:17,380 --> 00:20:27,550 So we then use, say, the 2020 crowdsource data on all the stock market listed companies that we have and we put that into a portfolio on January 1st, 229 00:20:27,550 --> 00:20:29,980 2021, and we let it run throughout the year. 230 00:20:29,980 --> 00:20:37,180 And then what we find is at the end, the these metrics help you outperform the S&P 500 and all the other indices. 231 00:20:38,110 --> 00:20:44,950 And then we and then we do it again the next year and again outperformed or was more resilient in 2020, which was a down bear market. 232 00:20:44,950 --> 00:20:48,280 And now 2023 has been a very volatile year on the stock market. 233 00:20:48,640 --> 00:20:52,570 And and again, we're outperforming based off of the 2022 data. 234 00:20:53,080 --> 00:20:57,270 And so you will not be surprised this is causing a stir, I guess. 235 00:20:57,360 --> 00:21:02,200 I was speaking to BlackRock yesterday, so they are taking a real interest in these data, as you can imagine. 236 00:21:02,590 --> 00:21:09,670 Well, I mean, again, it doesn't surprise one sort of intuitive level, but you wouldn't think it would translate and scale up at such, 237 00:21:09,910 --> 00:21:16,630 you know, in something so sort of, as you say, tough as the stock market where you think other pressures would dominate. 238 00:21:16,660 --> 00:21:21,430 How extraordinary. Well, if ever that we needed persuading that this matters and we should do more. 239 00:21:21,610 --> 00:21:29,020 So tell us about where maybe this goes in terms of rating companies for now. 240 00:21:29,620 --> 00:21:35,079 You know, these these criteria being important for rating employability and the attractiveness of a place. 241 00:21:35,080 --> 00:21:39,100 And how do you sort of translate that into policy when you get this data? 242 00:21:39,100 --> 00:21:46,540 How easy is it to sort of change employers? I know you've been, you know, an editor of the Happiness the World Happiness Report. 243 00:21:46,540 --> 00:21:50,270 So tell us a little bit about sort of how this how this is translated. 244 00:21:50,290 --> 00:21:55,200 You know, rating agencies for companies and and a little bit where are you going to take your research? 245 00:21:55,330 --> 00:21:59,920 We are taking the study and their actions that are now really impact focussed. 246 00:22:00,610 --> 00:22:06,579 And I think the first impact is making these data publicly available and that's being done on the on the website itself. 247 00:22:06,580 --> 00:22:10,210 So when jobseekers now go to look at job ads, 248 00:22:10,510 --> 00:22:15,220 they'll find the two description of the organisation will have right next to the name of the organisation, 249 00:22:15,460 --> 00:22:22,030 the average workplace, while being the same. And this now also holds for the University of Oxford and all the other higher education institutions. 250 00:22:22,480 --> 00:22:26,380 Right. Well, I'm glad that we're high school, but we've got to maintain it. Guys have got to be number one. 251 00:22:27,580 --> 00:22:31,330 I think the inverse of because I think we're top 20%, we're in the high category. 252 00:22:31,330 --> 00:22:36,580 So we can do better, we can do better, we can do better, and we will get off to a good start. 253 00:22:36,580 --> 00:22:43,680 Well, let's put it that way. But so to make those public and what we finding is we're now running a massive randomised controlled trial to see, well, 254 00:22:43,690 --> 00:22:53,409 are jobseekers responsive to seeing and getting that transparency around what it is like to work at these places from from the workers, 255 00:22:53,410 --> 00:22:57,640 you know, self-reported from the workers themselves, current and past. And we find that they do. 256 00:22:58,000 --> 00:23:02,560 And so all the more reason to think that these data matter, that workers well-being matters. 257 00:23:03,340 --> 00:23:06,370 And the other front that we're working on is not on sort of, you know, 258 00:23:06,370 --> 00:23:10,750 creating transparency around this and helping jobseekers find the best places for for them, 259 00:23:11,140 --> 00:23:14,680 but is also trying to feed in these new for the first time, 260 00:23:14,680 --> 00:23:22,360 massively massive crowdsourced data that allows us to compare organisations that is of real interest to say the rating agencies and you hinted at it. 261 00:23:22,780 --> 00:23:30,579 So for example, one of our partners is S&P Global and they do a corporate sustainability assessment since 2009 of 262 00:23:30,580 --> 00:23:35,230 all these big corporates around the world that are listed and then that informs their ratings. 263 00:23:35,590 --> 00:23:42,550 So it gives them sort of a rating on how well they do on sustainability as measured through environmental, social and governance standards. 264 00:23:42,940 --> 00:23:49,149 And I'm so pleased to say, and I'm hoping this might be a rough impact case study, that in April the CSA, 265 00:23:49,150 --> 00:23:56,230 the Corporate Sustainability assessment assessment by S&P Global Incorporated, the notion of, okay, are you measuring workplace well-being? 266 00:23:56,410 --> 00:23:59,440 And if so, are you measuring the four items that we discussed at the beginning? 267 00:23:59,620 --> 00:24:05,679 That's well, that's great to have that translation that quick. I know how tough it is to sort of impact into policy and changes. 268 00:24:05,680 --> 00:24:12,870 So great to hear. Yeah. And that will that will then inform ESG and sustainability ratings and you see where this is heading. 269 00:24:12,880 --> 00:24:14,290 This that means that pension funds, 270 00:24:14,500 --> 00:24:20,680 BlackRock's and all the other big organisations that sort of move money around and function of sustainability well, 271 00:24:21,250 --> 00:24:31,750 it means that their workplace well-being will matter and these ratings and in turn will shift money around and that in turn will eat CEOs that may not 272 00:24:31,750 --> 00:24:39,970 have been fully on board with caring and walking the walk in terms of workforce well-being is to know their cost of capital will be dependent on it. 273 00:24:40,270 --> 00:24:42,079 So they will listen. Yeah. Fantastic. 274 00:24:42,080 --> 00:24:46,540 Was great to hear just a little bit about World Happiness Report because that sounds it sounds like a full article. 275 00:24:46,540 --> 00:24:49,920 I have to read that. Well, it's it's a little bit more than Article A. 276 00:24:50,110 --> 00:24:56,259 We've been doing this since 2012. It was launched by EDS, Jeffrey Sachs, John Helliwell and Richard. 277 00:24:56,260 --> 00:25:02,530 They and I joined them in 2017 as a. As one of the editors, and it was launched at the United Nations. 278 00:25:02,920 --> 00:25:07,150 And we do it every every year on March 20th, which is International Day of Happiness. 279 00:25:07,570 --> 00:25:13,610 And it's a big report, essentially an edited volume that we produce each year, with the first chapter being the ranking. 280 00:25:13,630 --> 00:25:20,380 And there we rely on the Gallup World poll data, and we've got data on license action from 156 countries. 281 00:25:20,380 --> 00:25:26,140 And the only thing we do there is really pull the data and show the average license function across countries, 282 00:25:26,560 --> 00:25:29,770 and that then becomes the ranking that the newspapers write about. 283 00:25:29,770 --> 00:25:33,700 So Finland is number one and they took over from Denmark. What is it the Finns are doing? 284 00:25:33,700 --> 00:25:39,609 We dig in to these kind of things and what you find is that they have enormous amounts of social capital. 285 00:25:39,610 --> 00:25:44,169 So they trust each other, they trust the institutions, and there's cool ways that you can figure this out. 286 00:25:44,170 --> 00:25:48,999 I'm sure you might be familiar with this particular experiment, but we call it the wallet experiment, too, 287 00:25:49,000 --> 00:25:53,469 to gather social trust in society so people will drop wallets around and see 288 00:25:53,470 --> 00:25:56,830 how many out of the 100 wallets actually get returned to the original owner. 289 00:25:57,280 --> 00:26:04,330 And so around the world, you see massive variation in and sort of how society works and returning a lost wallet. 290 00:26:04,690 --> 00:26:08,919 And can you trust others and institutions, including the police, helping on this front? 291 00:26:08,920 --> 00:26:12,130 And you'll find that in places like Denmark and Finland and Norway. 292 00:26:13,040 --> 00:26:16,639 95 or 99 out of the 100 wallets get returned. 293 00:26:16,640 --> 00:26:23,510 But in other places it's not quite there. And that is just one of many sort of and the indicators. 294 00:26:23,680 --> 00:26:27,800 But they have a wonderful welfare state, needless to say, and all the Scandinavians do particularly well. 295 00:26:28,130 --> 00:26:30,240 And that helps them, I think, do pretty well. 296 00:26:30,260 --> 00:26:37,070 So the average life satisfaction in places like Denmark and Finland is close to eight out of ten and the UK is sort of seven, 7.1. 297 00:26:37,430 --> 00:26:40,790 And we are we are typically, I think sort of 18 or so in the UK. 298 00:26:40,820 --> 00:26:43,879 Okay, so room for improvement was always in. 299 00:26:43,880 --> 00:26:48,950 But, but we're off the good basis because if you look at the place at the bottom of the world, 300 00:26:48,950 --> 00:26:54,440 happiness support ranking as places like Afghanistan are more torn and I mean really we should, 301 00:26:55,280 --> 00:27:01,010 I mean, stand still for a moment because the average well-being that comes back, the average self-reported life satisfaction is like two. 302 00:27:01,580 --> 00:27:05,300 So imagine going into a place and you ask a representative sample of people, 303 00:27:05,720 --> 00:27:10,220 how happy are you with your life these days on a scale from 0 to 10 and the average 304 00:27:10,520 --> 00:27:14,390 average responds sort of to that means there's a whole host of zeros and ones. 305 00:27:14,750 --> 00:27:17,660 Because if one gives a five, then you'll need another ten that gives zero. 306 00:27:17,900 --> 00:27:26,630 But it's it's really interesting to sort of yet hear the data well beyond this has been just amazing and so enlightening, you know, 307 00:27:26,780 --> 00:27:35,060 to to spend this time with you and to hear about the fantastic research that you and your colleagues are doing at the Wellbeing Research Centre. 308 00:27:35,210 --> 00:27:39,080 I'm just thrilled that we're able to lure you here into Oxford and hold on to. 309 00:27:39,110 --> 00:27:46,100 I'm glad that we've got a good rating so that we're a happy place to work for you and that we hopefully will keep you here forever in a day. 310 00:27:46,400 --> 00:27:53,360 But all the very best to you for your research and thank you so much for joining me on Far and Wide today and sharing some of your exciting research. 311 00:27:53,540 --> 00:27:55,910 Thank you, Professor Tracy. It's such a pleasure to be here.