Posts filed under ‘Innovation’
| Peter Klein |
Along with Gonçalo Pacheco de Almeida I am chairing the Competitive Strategy Interest Group Teaching Workshop at the upcoming Strategic Management Society conference in Madrid. The workshop is Saturday, 20 September 2014, 1:00-4:00pm at the main conference venue, the NH Eurobuilding, Paris Room. Our theme is “The Impact of New Technologies on Teaching and Higher Education” and we have an all-star lineup featuring Bharat Anand (Harvard), Peter Zemsky (INSEAD), Michael Leiblein (Ohio State), Michael Lenox (University of Virginia), Frank Rothaermel (Georgia Tech), Vivek Goel (Chief Academic Strategist at Coursera), and Andrea Martin (President of IBM Academy of Technology).
Background: The higher-education industry is abuzz with talk about MOOCs, distance learning, computer-based instruction, and other pedagogical innovations. Many of you are already using online exercises and assessments, simulations, and other activities in the classroom. How are these innovations best incorporated into the business curriculum, at the BBA, MBA, EMBA, and PhD levels? What can business scholars, say about the impact of these technologies on higher education more generally? Are they sustaining or disruptive innovations, and what do they imply for the structure of the business school, and the university itself?
The plan for this session is to discuss how leading companies and business schools are (a) driving innovation in the Higher Education teaching space, (b) thinking about the business model of virtual education (MOOCs, social learning, etc.), and (c) testing some of the assumptions behind globalization in the education industry.
The full schedule is below the fold. Additional information about the workshop, and the SMS itself, is available at the conference website.
If you’re coming to SMS this year, please plan to join us for the workshop. Pre-registration is encouraged but not required. If you’re planning to attend, please let us know by sending an email to firstname.lastname@example.org. Feel free to email Gonçalo or myself at the same address with questions or comments. (more…)
| Peter Klein |
As with other technologies involving network effects, the early telephone industry featured competing, geographically overlapping networks. Robert MacDougall provides a fascinating history of this period in The People’s Network: The Political Economy of the Telephone in the Gilded Age (University of Pennsylvania Press, 2013). From the book blurb:
In the decades around 1900, ordinary citizens—farmers, doctors, small-town entrepreneurs—established tens of thousands of independent telephone systems, stringing their own wires to bring this new technology to the people. Managed by opportunists and idealists alike, these small businesses were motivated not only by profit but also by the promise of open communication as a weapon against monopoly capital and for protection of regional autonomy. As the Bell empire grew, independents fought fiercely to retain control of their local networks and companies—a struggle with an emerging corporate giant that has been almost entirely forgotten.
David Hochfelder wrote a thoughtful review which appeared today on EH.Net. As Hochfelder points out, the history of the telephone is not just about technology and market structure, but broader social themes as well:
At one level, this is a story about industrial competition. At a deeper level, it reveals competing visions of an important technology, the social role that it ought to play. MacDougall shows that the Bell System and the Independents envisioned the telephone in far different ways. Bell, especially under Theodore Vail, president of AT&T between 1907 and 1919, sought to build a unified telecommunications network that spanned the United States. Bell Canada espoused a different vision, that the telephone ought to remain an expensive urban medium primarily used for business purposes. Both Bell systems shared the ideology that the telephone industry ought to be controlled by centralized, national corporations. On the other hand, the Independents described the Bell System as a grasping octopus that wanted a stranglehold over the nation’s communications. The Independents offered instead a vision of the telephone as a people’s network that enhanced local ties and preserved community autonomy. In the United States, MacDougall claims that the Independents’ vision for the telephone “descended from a civic understanding of communication that went back to the American Revolution,” that “free and open communications were a basic ingredient of democracy” (p. 5). On a more mundane level, the Independents encouraged social uses of the telephone — like gossiping and banjo-playing — that the Bell System actively discouraged at the time.
| Peter Klein |
Lepore only deals with the easy marks in her take down of Christensen and one suspects Christensen and his supporters can easily fend those off. It is the fundamental contradiction in taking a positive theory towards prediction that is where this entire ‘disruption industry’ falls down. I’d like to see journalists engaging more on that level so that we can be done with those bridges too far for good.
What Josh means by “fundamental contradiction” is that a disruptive technology, in Christensen’s definition, must not only be behind the cutting edge in some technical dimension, but also satisfy unmet consumer demands. The latter must be uncertain ex ante, otherwise the market leaders would also be developing the disruptive technology. Christensen advises incumbents to “disrupt themselves,” but this assumes they know which technologies will eventually be disruptive. Because they don’t, they must choose among several alternatives, including “do nothing” (i.e., try to exploit late-mover advantage).
The incumbent’s decision, contrary to Christensen’s reasoning, reflects entrepreneurial judgment, which may or may not be correct. There is no formula for managing disruptive technologies.
See also Lynne’s insightful commenta.
| Peter Klein |
Do firm boundaries — defined as ownership of the relevant capital goods — affect firm behavior and performance? Or is the firm best understood as a nexus of contracts, in which ownership boundaries represent arbitrary legal distinctions? Coase, Williamson, Hart, and Foss and Klein take the former position, while Alchian (sometimes), Demsetz, Jensen, and Meckling lean toward the latter.
A very interesting paper from Amit Seru, “Firm Boundaries Matter: Evidence from Conglomerates and R&D Activity,” offers some empirical evidence on the effects of boundary choices on innovation, finding significant and important effects.
This paper examines the impact of the conglomerate form on the scale and novelty of corporate R&D activity. I exploit a quasi-experiment involving failed mergers to generate exogenous variation in acquisition outcomes of target firms. A difference-in-difference estimation reveals that, relative to failed targets, firms acquired in a diversifying mergers produce both a smaller number of innovations and also less novel innovations, where innovations are measured using patent-based metrics. The treatment effect is amplified if the acquiring conglomerate operates a more active internal capital market and is largely driven by inventors becoming less productive after the merger rather than inventor exits. Concurrently, acquirers move R&D activity outside the boundary of the firm via the use of strategic alliances and joint-ventures. There is complementary evidence that conglomerates with more novel R&D tend to operate with decentralized R&D budgets. These findings suggests that conglomerate organizational form affects the allocation and productivity of resources.
Here is a longer, less technical write-up on the Corporate Governance and Financial Regulation blog.
| Peter Klein |
A common myth is that successful technology companies are founded by people in their 20s (Scott Shane reports a median age of 39). Entrepreneurial creativity, in this particular sense, may peak at middle age.
We’ve previously noted interesting links between the literatures on artistic, scientific, and entrepreneurial creativity, organization, and success, with particular reference to recent work by David Galenson. A new survey paper by Benjamin Jones, E.J. Reedy, and Bruce Weinberg on age and scientific creativity is also relevant to this discussion. They discuss the widely accepted empirical finding that scientific creativity — measured by high-profile scientific contributions such as Nobel Prizes — tends to peak in middle age. They also review more recent research on variation in creativity life cycles across fields and over time. Jones, for example, has observed that the median age of Nobel laureates has increased over the 20th century, which he attributes to the rapid growth in the body of accumulated knowledge one must master before making a breakthrough scientific contribution (the “burden of knowledge” thesis). Could the same hold through for founders of technology companies?
| Nicolai Foss |
Business models have become important tools in the top-manager’s toolbox. A business model is the articulation of the logic by which a business creates and delivers value to customers. It also outlines the system of revenues and costs that allows the business to earn a profit. It is both a map—i.e., a mental representation—and the real structure of the company’s internal and external activity systems.
However, in spite of more than a decade’s interest in business models and the innovation, their specific leadership and organization design challenges are only beginning to be understood. What is specific about these challenges is that top-management needs a map of the existing business model and the one it aspires to implement and execute, and a plan of how to get there. Moreover, business models can be very complex systems, with many interlocking elements, requiring coordination. Hence, business model innovations are truly major organizational change projects.
Writers on business models typically outline a number of elements of a company’s business model. These include the value proposition, segments, the value chain, and revenue model. But many writers and practitioners alike tend to stress only or a few of these.
Indeed, very often a single element of the business does stand out. For example, the tipping point business model of Groupon, Moolala and similar seems to be all about the value proposition centered on providing discounts on meals, products and services with local merchants. (more…)
| Peter Klein |
The job-market value of education, as famously argued by Michael Spence (1974), derives from two sources: additions to human capital and signaling. By going to college, you learn some useful skills, but you also demonstrate to potential employers that you have the natural ability to earn a degree. Depending on the difficulty of obtaining a degree for students of varying abilities, a college degree may be valuable even if you don’t learn a thing — you distinguish yourself from those who weren’t clever or patient enough to jump through the necessary hoops.
Of course, the human-capital and signaling components aren’t mutually exclusive. But, as long as at least some part of the job-market value of education comes from signaling, the demand for higher education depends on its perceived signaling value, relative to the cost of signaling. And herein lies the rub: getting a college degree is a very costly signal. Suppose high-ability workers could demonstrate their value to the job market by obtaining some credential that low-ability workers can’t or won’t obtain, without forgoing the explicit and opportunity costs of 4+ years at college. This would be an attractive alternative for many, and bad news for the higher-education industry, which today has a virtual monopoly on credentialing.
Michael Staton makes precisely this argument in today’s HBR Blog: “The Degree Is Doomed.” Staton argues that new technologies increasingly allow the unbundling of the learning and signaling functions of higher education, and that alternative signals such as “work samples, personal representations, peer and manager reviews, shared content, and scores and badges” are undermining the value of the college degree.
There are sites — notably Degreed and Accredible — that adapt existing notions of the credential to a world of online courses and project work. But there are also entire sectors of the innovation economy that are ceasing to rely on traditional credentials and don’t even bother with the skeumorph of an adapted degree. Particularly in the Internet’s native careers – design and software engineering — communities of practice have emerged that offer signals of types and varieties that we couldn’t even imagine five years ago. Designers now show their work on Dribbble or other design posting and review sites. Software engineers now store their code on GitHub, where other software engineers will follow them and evaluate the product of their labor. On these sites, peers not only review each other but interact in ways that build reputations within the community. User profiles contain work samples and provide community generated indicators of status and skill.
These are specialized areas, and probably not substitutes for the credentialing function for other fields and industries. But low-cost, innovative, specialized signaling methods could pose a significant challenge to the university establishment.
Of course, even if higher education loses its credentialing function, it can still add value the old-fashioned way, through teaching.