| Peter Klein |
Thanks to Andrew for the pointer to this weekend’s Reading-UNCTAD International Business Conference featuring Mark Casson, Tim Devinney, Marcus Larsen, and many others. Mark’s talk (not yet online) focused on the need for methodological individualism in international business research. “Firms don’t take decisions, individuals do. When you say that a firm pursued an international strategy, you really mean that that the CEO persuaded the individuals on the board to go along with his or her strategy.” As Andrew summarizes:
Casson spoke at great length about the need for research that focuses on named individuals, is based on the extensive study of primary sources in archives, takes social and political context into account, and which looks at case studies of entrepreneurs in different time periods. In effect, he was calling for the re-integration of Business History into International Business research.
And a renewed emphasis on entrepreneurship, not as a standalone subject dealing with startups or self-employment, but as central to the study of organizations — a theme heartily endorsed on this blog.
| Peter Klein |
O&M friends Avner Greif, Lynne Kiesling, and John Nye have edited an important collection of essays by students, colleagues, and friends of the distinguished economic historian Joel Mokyr: Institutions, Innovation, and Industrialization: Essays in Economic History and Development (Princeton University Press, 2015). Dust-jacket blurb:
This book brings together a group of leading economic historians to examine how institutions, innovation, and industrialization have determined the development of nations. Presented in honor of Joel Mokyr — arguably the preeminent economic historian of his generation–these wide-ranging essays address a host of core economic questions. What are the origins of markets? How do governments shape our economic fortunes? What role has entrepreneurship played in the rise and success of capitalism? Tackling these and other issues, the book looks at coercion and exchange in the markets of twelfth-century China, sovereign debt in the age of Philip II of Spain, the regulation of child labor in nineteenth-century Europe, meat provisioning in pre-Civil War New York, aircraft manufacturing before World War I, and more. The book also features an essay that surveys Mokyr’s important contributions to the field of economic history, and an essay by Mokyr himself on the origins of the Industrial Revolution.
| Peter Klein |
Quick, what do the following articles have in common?
- Maslow, Abraham. 1943. “A theory of human motivation.” Psychological Review 50(4): 370-376.
- Forrester, Jay W. 1958. “Industrial dynamics: a major breakthrough for decision makers.” Harvard Business Review 36(4): 37-66.
- Fisher, Irving. 1933. “The debt-deflation theory of great depressions.”
Econometrica 1(4): 337-357.
- Fornell, Claes, and David F. Larker. 1981. “Evaluating structural equation models with unobservable variables and measurement error.” Journal of Marketing Research 18(1): 39-50.
- Wechsler, Herbert. 1959. “Toward neutral principles of constitutional law.” Harvard Law Review 73(1): 1-35.
- Ellsberg, Daniel. 1961. “Risk, ambiguity, and the savage axioms.” Quarterly Journal of Economics 75(4): 643-669.
All are designated as “sleeping beauties,” papers that lie dormant for years after publication, then suddenly become highly influential. The term was coined by Anthony van Raan, but sleeping beauties were thought to be rare. A new paper in PNAS by Qing Ke, Emilio Ferrara, Filippo Radicchi, and Alessandro Flammini finds, by contrast, that sleeping beauties are fairly common. Formally, “The beauty coefficient value B for a given paper is based on the comparison between its citation history and a reference line that is determined only by its publication year, the maximum number of citations
received in a year (within a multiyear observation period), and the year when such maximum is achieved.” The authors take a large sample of papers from the American Physical Society and Web of Science and identify, describe, and analyze some prominent sleeping beauties. They focus mostly on the physical science, but include a few social science datasets in an online appendix, finding several papers including those above. (Most of the sleeping beauties in their social science sample are either experimental psychology papers or statistical or methodological papers that are not really about core social science theory or application.) I assume the social science papers also come from Web of Science, which may not include journals like Economica (hence no Coase 1937), and hence the list above is not totally intuitive.
Anyway, this should provoke some interesting discussion about the diffusion of knowledge. The presence of sleeping beauties could simply mean that some discoveries are difficult to understand and take a while to be appreciated, but could also reflect bandwagon effects, faddish citation practices, and other phenomena that cast doubt on the whig theory of science.
| Peter Klein |
We have been using the term “judgment-based view” to describe our approach to entrepreneurship. The term “judgment” of course comes from Knight, and was used also by Mises, Casson, and many others. Contemporary entrepreneurship research is still dominated by the opportunity-discovery view, but increasing criticism from the judgement-based view, the effectuation and bricolage approaches, the opportunity-creation view, and other perspectives is challenging the notion that profit opportunities exist, waiting to be discovered, and even that “opportunity” is a meaningful construct at all.
Nicolai and I organized a themed section in the Journal of Institutional Economics on the judgment-based view with papers from Niklas Halberg, Jeff McMullen, and Andrew Godley and Mark Casson. Our introduction reviews the increasing importance of entrepreneurship in economics and management research, explains the relationship between entrepreneurship and economic organization, discusses some microfoundations of judgment, and distinguishes judgment from luck and judgment per se from good or skilled judgments.
The papers are available electronically at the links above, and in hardcopy in the Fall 2015 issue of JOIE.
| Peter Klein |
We’ve featured several posts on the relationship between artistic and entrepreneurial creativity, arguing that great art, like great entrepreneurship, is rarely the product of isolated individuals, toiling away privately and swimming against the tide, misunderstood or ignored by the establishment. Rather, both art and entrepreneurship are usually highly social and commercial activities, with subtle and nuanced relationships among creators, patrons, rivals, and customers.
I’ve been reading two interesting books on modern art that emphasize the idea of an artistic “ecosystem,” a complex set of interactions among artists, curators, critics, buyers, and others with commercial interests, Daniel Seidell’s Who’s Afraid of Modern Art and Sarah Thornton’s Seven Days in the Art World. I see many parallels with the contemporary entrepreneurship literature and its focus on ecosystems of entrepreneurs, funders, suppliers, customers, makers of complementary products, regulators, and so on. Phone and tablet makers depend on app programmers and vice versa; engineers need venture capitalists and vice versa; founders and funders are embedded within clubs, networks, and associations; etc. As Seidell notes:
Serious art in the Western tradition — that is, art that is not content to “imagine” what we think we already know about the world of appearances and experiences, but probes more deeply into the nature of such reality through aesthetic form — has always been inextricably bound up with business. It is inseparable from patrons and collectors, with markets and dealers, with personalities and egos. . . .
Great art emerges out of the warp and woof — some would say the muck and mire — of commerce, of production and distribution that is at the very heart of [the art world].
Seidell is trying to help us understand the modern and contemporary art that frustrates and confuses most of us — abstract expressionism, pop art, Damien Hirst’s formaldehyde shark — by explaining that the value of these works comes not solely from the work itself, or even from the relationship between the work and the viewer, but from the way the work is perceived by critics, curators, collectors, and other artists. Much “high art” is actually produced for them, not for us. Of course, with entrepreneurship, the commercial value of any venture is ultimately determined by us, the consumers who willingly part with our hard-earned money for the services of the company or product. But, like art, entrepreneurship is a social activity, and great entrepreneurs know how to situate themselves within, or create from scratch, the ecosystem that makes their work great.
| Peter Klein |
I took this photo in the conference room of the Beijing Information Science and Technology University, School of Economics and Management. A display case holds a large collection of Chinese works and just two books in English. Most of you will recognize the silver one with the blue letters. Now, where is Organizing Entrepreneurial Judgment?
| Peter Klein |
Scientific progress, like economic progress, largely consists of combining and recombining existing resources and knowledge. At least that’s the way I interpret a new paper from Santa Fe Institute researchers Hyejin Youn, Luis Bettencourt, Jose Lobo, and Deborah Strumsky, “Invention as a Combinatorial Process: Evidence from US Patents” (via Steve Fiore):
Invention has been commonly conceptualized as a search over a space of combinatorial possibilities. Despite the existence of a rich literature, spanning a variety of disciplines, elaborating on the recombinant nature of invention, we lack a formal and quantitative characterization of the combinatorial process underpinning inventive activity. Here, we use US patent records dating from 1790 to 2010 to formally characterize invention as a combinatorial process. To do this, we treat patented inventions as carriers of technologies and avail ourselves of the elaborate system of technology codes used by the United States Patent and Trademark Office to classify the technologies responsible for an invention’s novelty. We find that the combinatorial inventive process exhibits an invariant rate of ‘exploitation’ (refinements of existing combinations of technologies) and ‘exploration’ (the development of new technological combinations). This combinatorial dynamic contrasts sharply with the creation of new technological capabilities—the building blocks to be combined—that has significantly slowed down. We also find that, notwithstanding the very reduced rate at which new technologies are introduced, the generation of novel technological combinations engenders a practically infinite space of technological configurations.
Or, as the Santa Fe press release puts it, “Most new patents are combinations of existing ideas and pretty much always have been, even as the stream of fundamentally new core technologies has slowed.” See also the authors’ earlier paper, “Atypical Combinations and Scientific Impact.”