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Mission-Driven Innovation: From Empty Rhetoric to Meaningful Impact Fall 2017 Report 1500+ Press Releases Analyzed Christophe Bruchansky Plural think tank (Toronto) http://plural.world

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Page 1: Mission-Driven Innovation: From Empty Rhetoric to ... · of executives say that purpose-driven firms deliver higher quality products/services, only 46 percent said a purpose informs

 

 

 

Mission-Driven Innovation: From Empty Rhetoric to Meaningful Impact 

Fall 2017 Report  1500+ Press Releases Analyzed 

Christophe Bruchansky Plural think tank (Toronto) http://plural.world   

   

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Mission-Driven Innovation: From Empty Rhetoric to Meaningful Impact  Fall 2017 Report - Plural think tank 

 

 

It has become commonplace for businesses and public institutions to include innovation as part of their values. While the use of the word indicates a willingness to break the status quo, nowadays it is used in every possible context and does not provide much information about the culture and mission of a given organization.  

1,500+ 

We’ve used machine learning to analyze 1,500+ press releases from major public and private organizations, and to reveal what is driving their innovation.  In this report: 

Apple, Google, Tesla, Microsoft, Amazon, Netflix, Samsung, Toyota, Facebook, IBM, Wikimedia, the University of Cambridge, the UK government, the European Commission. 

(a) Reading, writing, and research in the digital age (Pew                   Research Center, Nov. 2013). 

The Overall Issue: Lack of Purpose “We live in a world where there is more and more                     information, and less and less meaning. [...] No               relief, no perspective, no vanishing point where             the gaze might risk losing itself, but a total screen                   where, in their uninterrupted display, the           billboards and the products themselves act as             equivalent and successive signs . ” Jean Baudrillard,           Simulacra and Simulation, 1981  With these words, the French philosopher Jean             Baudrillard describes the empty rhetoric often at             play in consumerism, in which consumers,           business owners and employees are constantly           pressurized to create, produce and consume new             

products, without necessarily believing they will           make any difference.  On a less philosophical level, although 81 percent               of executives say that purpose-driven firms deliver             higher quality products/services, only 46 percent           said a purpose informs their strategic and             operational decision-making, according to a global           Harvard Business Review survey.  Without purpose, choice becomes a very relative             concept. New technologies, solutions, and services           might create the illusion of choice, but actually all                 follow a same paradigm. This lack of             distinctiveness, either due to a lack of purpose or                 a badly executed purpose, leads ultimately to             disengagement, as consumers, producers, citizens         and, ultimately, human beings. 

A Cause to Address: All-Purpose Innovation It has become commonplace for businesses and             public institutions to include innovation as part of               their values. While the use of the word indicates a                   willingness to break the status quo, nowadays it is                 used in every possible context and does not               provide much information about the culture and             mission of a given organization. Organizational values are meant to guide strategic             decisions, and most decisions include a certain             level of novelty. So innovation on its own cannot                 really provide much guidance.  Social innovation was meant to address this issue               by explicitly connecting innovation with a social             purpose. It is defined on the Stanford Graduate               School of Business website as “the process of               developing and deploying effective solutions to           

 

   

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challenging and often systemic social and           environmental issues in support of social           progress”. However, social innovation has quickly           become just another buzzword, since most           business decisions have a social impact and this               impact could always be presented as having a               certain implicit purpose.  One way to promote purposeness and           distinctiveness in decision-making processes is to           engage in a real conversation about innovation.             We believe that vagueness and non-commitment           is harming innovation, inhibiting creativeness and           new partnerships. And that corporations,         nonprofit organizations and public institutions can           only benefit in spending more effort in elaborating               more clearly, and explaining more publically, what             drives their innovation efforts. 

More than 1,500 press releases from top innovative companies analyzed We’ve used machine learning to analyze 1,500+             press releases from major public and private             organizations, and to reveal what is driving their               innovation. We have chosen for our study the ten                 most innovative companies according to Boston           Consulting Group (2016), along with a small             sample of four organizations from the nonprofit             and public sector: Wikimedia, the University of             Cambridge, the European Commission (Digital         Economy and Society section), and the UK             government (press releases related to innovation).  For each organization, we have extracted the most               important terms used in their 100+ press releases               using IBM Watson. We have then mapped these               

words using GloVe pre-trained word vectors           (Stanford University): a model based on Wikipedia             (2014) and Gigaword 5 (2011) in which the more                 often two words appear together, the more they               will be closely located in a multidimensional             space. We have then visualized the results using               TensorBoard, an open-source software library         developed by Google. All the code used to obtain                 our results is publicly available on our Github               page .  The result is a series of semantic word clouds                 based on the data extracted in the 1,500+ press                 releases and information available on Wikipedia           and Gigaword. 

 

   

 

   

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An Overview of Social Innovation 

"Innovation" 

 Order not relevant; in color are words that appear for at least                       3 companies; (*) search for "innovative" instead of               "innovation".  

From all the press releases that we have gathered,                 IBM Watson has identified innovation and           innovative as keywords in 10 out of the 14                 organizations studied. For each organization , we             looked at the five terms closest to innovation,               based on a GloVe vector model trained using               Wikipedia (2014) and Gigaword 5 (2011) .  Technology, development, creative, and design are           words used by many organizations along with             innovation, and thus do not convey much             information about their mission or culture.  Our results have displayed less prominent but             more revealing innovation-related terms, such as           

leveraging (Google), productivity (Microsoft),       marketplace (Amazon) and interdisciplinary       (University of Cambridge). 

"Products" 

 Order not relevant; in color are words that appear for at least                       3 companies; (*) search for "product" instead of "products".  

Products was another term used in many of the                 press releases and we thought it could provide               interesting information about the kind of           innovation pursued by each organization. Using           the same method as for innovation, we have               identified the following widespread terms used in             conjunction with products: consumer/customer,       sales, technology, industry, company, and stores.           Only less frequent terms such as foods,             electronics, appliances, content or manufacturing         provided the first clues to each company’s sector               of activity. 

 

 

   

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"Social" 

 Order not relevant; in color are words that appear for at least                       3 companies.  

Health, economic, and education all appear in at               least three of the organizations we studied. While               they certainly add meaning, we found that their               widespread and consensual use in innovation was             not particularly helpful at identifying the mission             and values of the organizations we analyzed. We               found terms such as cultural, intellectual, liberal,             and conservative more informative, even though           the appearance of the latter two in our results for                   the University of Cambridge and the UK             government should be questioned. 

 

 

 

“Community” 

 Order not relevant; in color are words that appear for at least                       3 companies.  

Community was a word identified by IBM Watson               in 8 organizations. Its ambivalence makes it an               interesting term to study. Support, local, and             schools are words often related to communities,             and thus don’t provide much information. We             found the terms culture, citizens, and non-profit             much more telling. Community was the only of               our four terms in which a clear distinction could                 be made between the public and private sector. See results organization-by-organization 

Our recommendation Our A.I.-based methodology was very simple but             can nevertheless provide insights on what           innovation means for each organization. 

● It could be easily extended to more             businesses and organizations. 

● More formal conclusions could be obtained           by extracting all press releases from a             given organization. 

● Results could also be more accurate by             using context-dependant vector space       

 

   

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models. This would avoid glitches such as             confusing words related to Amazon the           company with the forest, or Apple the             company and the fruit. 

  The heuristics we have used to identify words that                 characterise top innovative companies could be           applied to any private, public, or nonprofit             organization. These words, once identified, could           help shape a more distinct and mission-driven             innovation strategy.  For instance, identifying “culture” as a distinct             component of innovation from the European           Commission’s perspective could guide some of           their future initiatives, especially given the related             words culture, heritage, social, intellectual, and           society. Interdisciplinarity could, if not already the             case, serve as a compass for innovation as               practised by the University of Cambridge, with             humanities, cutting-edge, biomedical, academic,       and biology as related concepts. If implemented             correctly, directions such as these could help             public institutions regain a central role in domains               that have been monopolized by businesses, and             lead to what we call multi-competition: a state of                 competition between corporations as well as           organizations with varied structures and         non-economic goals. Such directions could also           offer more guarantees for these institutions to             retain their difference and not fall into the               “business innovation” catch-all paradigm.  In the private sector, Amazon could focus more on                 its social annotation on marketplaces, and           Facebook on communities (with a focus on             diversity as their press releases already suggest).             The concept of leveraging would seem to be worth                 exploring by Google, with interesting connections           to cloud-based, expertise, googler, apis and           

innovation. Tesla, finally, could ensure it keep a               forward-looking approach to any social project it is               involved with.  These different ways to qualify what each             organization’s innovation is about could help           explore new partnerships. If, for the sake of our                 example, the organizations above were going to             use the suggested term to focus their innovation,               they could imagine what cultural leverage means             (European Commision + Google), what a cultural             marketplace could be (European Commission +           Amazon), or where a forward-looking and           interdisciplinary spirit could lead (Tesla +           University of Cambridge).  By being more specific, and not being afraid to                 pursue different goals and have distinct values,             public and private organizations could create a             dynamic that fosters innovation. The terms           identified in our report are based on existing press                 releases, and might not yet be far-reaching             enough to create a truly pluralistic culture of               innovation, but they could certainly constitute a             first step, injecting some meaning and real choices               in the discipline. 

Keywords innovation, public relations, corporate culture,         mission statement, values, press releases,         machine learning, NLP, vector space models,           tensorflow, watson, social innovation 

 

   

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Appendix I: Organization-by-Organization analysis (For Profit) Top 10 most innovative companies according to             Boston Consulting Group (2016). 

1. Apple 

 

Notes: 

● Samsung doesn’t appear as one of Apple’s             closest competitors, possibly because       

terms such as smartphone and android are             prefered in press releases. 

● The reason why orchard is one of the most                 closely related terms to Apple is because of               its connection with the apple fruit (word             similarities are based on the wikipedia           corpus), and of a press release about Apple               opening a new store on Orchard road in               Singapore. 

2. Google 

 

 

 

   

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Notes: 

● There is a discrepancy between         google-related words detected in all press           releases, in which Google is very strongly             associated with the internet as a whole,             and the ones used by Google, which are               more specific. 

3. Tesla 

 

Notes: 

● Edison probably appears in the words most             closely related to Tesla because of a             

“Southern California Edison” utility in one           of Tesla’s press releases , and the historic             rivalry between Nikola Tesla and Thomas           Edison. 

● Nvidia wrongly appears in the top Tesla             competitors list because of the NVIDIA®           Tesla® GPU. Perhaps the connection         between Vodafone and Tesla comes from           the two companies’ interest in cars; this             hypothesis would, however, require more         investigation in the Wikipedia corpus. 

4. Microsoft 

 

 

   

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5. Amazon 

 

Notes: 

● Brazil and Peru appearing in the words             most closely related to Amazon shows the             limitation of our machine-learning       approach, where the context is not taken             into account and it is impossible to             distinguish between the Amazon forest and           the company. 

6. Netflix 

 

Notes: 

● What doesn’t show in our results is the               focus in Netflix’s press releases on future             film and series releases on its platform.             This absence might be due to the very               varied terms used to describe each series             and film, or the relatively old reference             corpus (Wikipedia in 2014). 

 

 

   

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7. Samsung 

 

 

 

 

 

8. Toyota 

 

Notes: 

● Toyota’s press releases are very much           focussed on their models, and the words             most closely related to the company are             thus not so interesting in terms of             understanding its mission. What is maybe           more useful are the words shared only by               Tesla and Toyota: drivers, investigator,         motor, factory, rally, and vehicle. 

 

   

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9. Facebook

 

 

 

 

 

10. IBM 

 

 

   

 

   

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Appendix II: Organization-by-Organization Analysis (Non Profit) 

Wikimedia 

 

 

 

University of Cambridge 

 

 

 

 

 

 

   

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United Kingdom government (gov.uk) 

 

 

 

 

 

European Commission (europa.eu) 

 

 

   

 

   

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Notes (1) Top 10 closest keywords to the company name                 extracted from its press releases using IBM             Watson NLP. Word closeness is based on GloVe               word vectors trained on Wikipedia (2014) and             Gigaword 5 (2011). (2) Same as (1) but on all press releases analyzed                   as part of this project. Competitors and words               identified only in the press releases of the               company itself have been removed from this list. (3) Competitors as identified in (2). (4) Keywords that have been identified by IBM               Watson NLP only for these organizations (and not               for any others covered in this report). 

Contact & More Information For more information, and an online version of               this report, please visit our website:           https://plural.world/research/from-empty-rhetoric-to-meaningful-impact/.  All our code is available on our Github page:                 https://github.com/Plural-thinktank/pfootprint.  Learn more about our approach:         https://plural.world/digressive-approach/.  For any question about this report and our               methodology, please contact Christophe       Bruchansky: https://plural.world/about/. 

Disclaimer Please use the following reference when using             

this report: Mission-Driven Innovation: From         

Empty Rhetoric to Meaningful Impact,         

Christophe Bruchansky, Plural think tank, Oct.           

2017, Toronto. 

References ● The Business Case for Purpose, Harvard 

Business Review survey, 2017 ● Defining Social Innovation, Stanford Graduate 

School of Business , 2017 ● The Most Innovative Companies, Boston 

Consulting Group, 2016 

● Apple Press Releases, https://www.apple.com/newsroom/archive/, 2017 

● Google Press Releases, https://www.blog.google/, 2017 

● Tesla Press Releases, https://www.tesla.com/blog?redirect=no, 2017 

● Microsoft Press Releases, https://news.microsoft.com/category/press-releases/, 2017 

● Amazon Press Releases, http://phx.corporate-ir.net/phoenix.zhtml?c=176060&p=irol-news&nyo=0, 2017 

● Netflix Press Releases, https://media.netflix.com/en/press-releases , 2017 

● Samsung Press Releases, https://news.samsung.com/global/, 2017 

● Toyota Press Releases, http://pressroom.toyota.com/releases/, 2017 

● Facebook Press Releases, https://newsroom.fb.com/news/, 2017 

● IBM Press Releases, https://www-03.ibm.com/press/us/en/pressreleases/finder.wss?topic=27, 2017 

 

   

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● Wikimedia Press Releases, https://wikimediafoundation.org/wiki/Press_room, 2017 

● Cambridge University Press Releases, https://www.cam.ac.uk/news , 2017 

● U.K. Government Press Releases, https://www.gov.uk/government/announcements?keywords=innovation&announcement_filter_option=press-releases , 2017 

● European Commission Press Releases, http://europa.eu/rapid/search-result.htm?page=1&subQuery=47&format=HTML&size=10&locale=EN, 2017 

 

 

   

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