Culture evolutionary analysis for business and government
Submitting Institution
University of BristolUnit of Assessment
Geography, Environmental Studies and ArchaeologySummary Impact Type
SocietalResearch Subject Area(s)
Mathematical Sciences: Statistics
Information and Computing Sciences: Information Systems
Economics: Econometrics
Summary of the impact
The research of Professor Bentley and colleagues has developed a novel
and practical analysis
that commercial and government organisations can use to extract social
network `signatures' and
collective decision patterns from available data that were never intended
to measure social
influence or `decision fatigue' directly (such as sales figures, trend
popularity statistics or other `big
data'). Since Bentley's arrival to Bristol University in 2011, this
research and impact have
proceeded in parallel, as for example in multiple publications with Paul
Ormerod, who is co-director
of Volterra LLP, an influential consulting company whose direction was
informed by this research
with Ormerod. Other research was published in trade magazines (e.g., refs
[f, g] below) shortly
after academic publication (1-6), which led other organisations to follow
in applying the methods of
data analysis. For example, in 2011-12 Sony Electronics Europe (via
Anomaly Communications,
London) contracted this analysis of their sales data to distinguish market
segments characterised
by consumers looking toward `expert' opinion, versus segments in which
indiscriminate copying
was more prevalent, which fundamentally steered the segment-specific
marketing strategies.
Underpinning research
Situated within the larger study of culture evolution, a subfield of both
archaeology and
anthropology, Professor Bentley's research has concerned the modelling and
understanding of
collective ``herding'' behaviour in society, and testing these models
against real-world phenomena.
Bentley's research since starting at the University of Bristol in Sept.
2011 (e.g., refs 1-6, section 3)
integrates his ongoing research on the dynamics of `random copying' and
cultural drift, into a larger
unified framework of discrete choice with social interaction (ref 1). The
result at Bristol has been
recent papers (1-4) that consolidate these new forms of quantitative
evolutionary analysis in
applications on real-world data on popular culture change. The analytical
framework has now been
discussed at length in Behavioral and Brain Sciences (ref 1) with
thirty different academic
responses. Simultaneously, Bentley et al. communicated this research to
business audiences via a
popular book (ref [a], section 5) and in prominent trade magazines like European
Business Review
(refs [b, f, g, h]). This led directly to Bentley's speaking invitations
for large business audiences
(refs [g-l]).
This research is increasingly relevant in the digital age, when big-data
record collective decision-making
in populations. As New York Times recently discussed (15 April
2013), big data agenda
lacks a coherent framework of social theory. A specific challenge is that
social influence is rarely
measured by big data directly. Although big data directly record the where
and when of everyday
user activity, Bentley et al. research what big data reveal indirectly
about how decisions are made,
how collective behaviour evolves on different time scales, and how this
varies across communities.
The research of Bentley and colleagues is intended to provide a
foundational analytical framework,
summarised as an interpretive "map" of collective decision making that is
diagnostically applicable
to time-stratified decision data (refs 1,6). Grounded in a novel
combination of discrete choice
theory and the economics of social influence, the analytical framework
enables the extraction, from
big data, two elusive but important components of decisions: (1) the
degree of social influence and
(2) the `transparency' of decision, or how well-informed a decision is.
The analytical approach
measures the effect of social influence and how well-informed the
decisions are on the aggregate
scale. The approach extracts statistical patterns from sales data that
identify when `copying' is
taking place in a category (e.g. skewness of the distribution of sales
data) as well as when the
choices within categories are easy or hard to discriminate (noise patterns
of data). Its value lies in
extracting these `signatures' from available data that were never intended
to characterize social
influence directly, such as trend popularity statistics (refs 1, 6).
References to the research
[2] Acerbi, A., V. Lampos, P. Garnett & R.A. Bentley (2013) The
expression of emotions in 20th
century books. PLoS ONE 8(3): e59030. DOI:
10.1371/journal.pone.0059030.
[3] Bentley, R.A. & M.J. O'Brien (2013). Cultural evolutionary
tipping points in the storage and
transmission of information. Frontiers in Psychology 3: article
569. DOI:
10.3389/fpsyg.2012.0056.
[4] Bentley, R.A., P. Garnett, M.J. O'Brien & W.A Brock (2012). Word
diffusion and climate
science. PLoS ONE 7(11): e47966. DOI:
10.1371/journal.pone.0047966.
[5] Bentley, R.A. & P. Ormerod (2012). Accelerated innovation and
increased spatial diversity in
U.S. popular culture. Advances in Complex Systems 15: 1150011.
DOI:
10.1142/S0219525911003232.
[6] Bentley, R.A., M.J. O'Brien, and P. Ormerod (2011). Quality versus
mere popularity: a
conceptual map for understanding human behaviour. Mind & Society
10: 181-191. DOI:
10.1007/s11299-011-0087-4.
Details of the impact
Applied to the commercial world, the research recognizes highly important
factors in social and
economic activity, namely (a) the propensity to copy others and (b) how
well informed the deciders
are, in their ability to discriminate between available choices, such as
products in a category.
Without prior assumptions, the analysis extracts signatures of social
influence and transparency of
decision-making (1). This serves as an effective focusing `lens' for
marketing efforts. Marketing
something that is very socially visible and easy to discriminate, for
example, is quite different from
marketing something that is socially invisible or not discriminable from
similar alternatives.
By saving wasted marketing effort, the analysis has fundamentally steered
real marketing
strategies, often away from those mis-targeted at individual, `rational'
agents without social
influence. Applying the analysis (section 2) to sales data, for instance,
often indicates that people
copy much more indiscriminately than often assumed, especially when
subjected to social media
influences. When this is the case, the best strategy is to generate
critical mass for the product and
then position it as a more considered decision or purchase. If, on the
other hand, if the analysis of
sales data reveals more well-directed social influence, then survey
methods can be used to identify
the characteristics of "Influential" individuals within the network as a
focus of dissemination efforts.
Volterra Consulting, LLP Bentley's academic collaboration with
Volterra co-Director Paul
Ormerod (e.g. refs 5, 6, [f], sections 3, 5) has informed the actions of
this prominent and influential
economic consultancy in London. Although Bentley has not worked directly
on Volterra's projects,
his Bristol-based research with Ormerod contributes to Volterra's approach
toward numerous
clients. For example, Volterra's 2011 project revealing how social
networks account for the rise in
U.K. binge drinking (www.volterra.co.uk/publication-archive) was
influenced by collaboration of
Bentley with Ormerod and B. Tarbush at Volterra on "Network effects on
decisions among many
similar choices" (later presented by Bentley at `NetSci,' Northwestern
University, June 2012).
Sony Electronics Europe, 2012. The framework of Bentley's research
was the basis for a
substantial change in Sony's marketing approach in Europe. The 2012
project, with Mark Earls,
was done via Anomaly Communications, London, to which in 2009 Sony Europe
contracted its £50
million advertising account. Bentley's social-copying models lay at the
core of the analysis of the
sales dynamics of a range of portable electronics across a number of
different European
geographies. Basically, the analysis revealed that certain segments of the
electronic camera
market was characterised by consumers looking toward `expert' opinion,
whereas in other
segments, fairly indiscriminate copying characterised consumer choices.
These segment region-specific
patterns allowed Sony and Anomaly to customise their marketing strategies
accordingly.
Geoff Gray, Partner at Anomaly, confirms this [m], and Giles Morrison (now
at Unilever U.K.) says:
As a senior marketer working in a complex organisation, across
categories and national
borders, I found the novel approach (from Alex Bentley and Mark Earls)
very useful. Because it
used our own sales data, it allowed us to focus conversations about what
to do on the facts of
consumer behaviour rather than opinion and assumption. Because it
focussed on patterning in
the data, it allowed us create consensus about similarities and
differences in our categories very
quickly and simply. As a result of this, we found it much easier to
develop appropriate regional
creative solutions and communications mixes ... the immediate benefits
of this technique are
organisational — they help us make better decisions, faster and
together, something which is
incredibly valuable. [n]
HERD consulting: In work similar to the Sony example above,
Bentley has partnered as
consultant at HERD consulting with Mark Earls, who has held senior posts
at Ogilvy & Mather.
Earls and Bentley have done public presentations together at the Royal
Society of Arts (Nov 2011),
Oglivy "Big Data Debate" (June 2013), the Market Research Society (2012)
and The Royal Mail
(Sept 2012). The feedback from these events (mostly online) testifies to
how is has helped
organisations strategise their communications strategies. Earls and
Bentley are writing a new
follow up to their 2011 MIT book (ref. [a]) and will continue to pursue
high-profile public speaking
engagements and consultancies with marketing divisions with which they
have worked already,
such as Royal Mail, Modernista!, Channel 4, Unilever, BrainJuicer, Oglivy
& Mather and others.
Sanofi Pasteur Pharmaceuticals: In 2012, Sanofi Pasteur MSD
sponsored Professor Bentley to
visit their headquarters in Lyon, France (March 2012) to spend a day
discussing/presenting the
relevance of his research to this pharmaceutical industry. Subsequently
Bentley was sponsored by
Sanofi Pasteur to present "An anthropologist's view on vaccination" to an
international audience of
hundreds of medical doctors at the European Society for Paediatric
Infectious Diseases (ESPID, 9
May 2012). Bentley maintains his relationship with Sanofi Pasteur through
Dr. Rosybel Drury,
Senior Manager of Medical Affairs. Relatedly, Bentley and Professor Adam
Finn (Bristol Clinical
Medicine, who also works with Sanofi Pasteur) led a session public
engagement concerning
vaccination and behaviour at the 2012 "Engage" event in Bristol
(coordinated by Sophie Duncan,
National Coordinating Centre for Public Engagement).
Sources to corroborate the impact
Book aimed at general/commercial audience
[a] Bentley, R.A., M. Earls, & M.J. O'Brien (2011). I'll
Have What She's Having: Mapping
Social Behavior. MIT Press. "This book is a very sophisticated
treatment of the most critical
influence on consumer decision-making. Every marketing plan must include
this thinking in
order to have a chance of being successful." -- Robert Barocci, President
and CEO, The
Advertising Research Foundation.
Invited articles for popular press, business and government
publications
[b] Earls, M. & R.A. Bentley (2013). Big data, not magic
data. Admap (Sept).
[c] Bentley, R.A. & M.J. O'Brien (2012). The buzzwords of the
crowd. NY Times, 1 Dec 2012.
[d] Strong, C., P. Ormerod & R.A. Bentley (2013) Under the
influence. Research (magazine of
the Market Research Society), 23 Jan 2013.
[e] Bentley, R.A., Mark Earls and Michael O'Brien (2012). Mapping
human behavior for
business. European Business Review, May-June 2012: 23-26.
[f] Earls, M. & R.A. Bentley (2011). Memorandum (w/ Mark
Earls) for 2011 House of Lords'
Science and Technology Committee on Behaviour Change, pp. 319-323.
http://www.parliament.uk/documents/lords-committees/science-technology/behaviorchange/BCwrittenevidenceHtoM.pdf
Presentations for substantial (100+) business, medical and/or
government audiences
[g] Royal Society of Arts (public videotaped talk with M. Earls,
invited by RSA, 3 Nov 2011).
[h] Google@SocialMediaWeek (London 16 Feb 2012, sponsored by
Google+)
[i] European Society for Paediatric Infectious Diseases, May
2012, (Thessoloniki, Bentley
sponsored by Sanofi Pasteur MSD)
[j] Big Data Debate (6 June 2013 London, sponsored by Oglivy
Europe, The Digital Media
Innovation Consultancy project, and EU FP7).
Presentations for business with prospect of active collaboration
[k] Activate Networks (24 Aug 2013), a Boston-based start-up
company founded by N.
Christakis and others (Board of Directors includes U.S. Senator William
Bradley).
[l] Sanofi Pasteur MSD (March 2012), Lyon France, to present the
research to the head
office of this European pharmaceutical company.
Individuals who have provided a factual statement or could be
contacted
[m] Partner, Anomaly.
[n] Creative Excellence Director, Unilever Global (former Brand Director,
Consumer Marketing
at Sony Europe).