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Knowledge Transmission by Mobile Employees:

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Lee Fleming, Charles King III & Adam Juda. Small Worlds and Regional Innovative Advantage. ... Bruce Fallick, Charles A. Fleischman & James B. Rebitzer. ... – PowerPoint PPT presentation

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Title: Knowledge Transmission by Mobile Employees:


1
Knowledge Transmission by Mobile Employees
  • Do We Know Enough to Make Policy on Trade Secrets
    and Covenants Not to Compete?

2
By Alan Hyde
  • Conference, IP_at_Work
  • Radzyner School of Law, Interdisciplinary Center
    (IDC), Herzliya, Israel
  • 28-29 December 2005

3
Eight conjectures about trade secrets in Silicon
Valley
  • From Alan Hyde. Working in Silicon Valley
    Economic and Legal Analysis of a High-Velocity
    Labor Market (M.E. Sharpe 2003).
  • Basic thesis The public interest in
    technological and economic growth requires
    lifting impediments to mobility of knowledge
    workers, such as covenants not to compete and
    trade secrets law.
  • Obstacles to recognizing thesis (stronger ten
    years ago)
  • Economic analysis that assumes that
    information/knowledge can have value only if it
    is property
  • Legal obsession with implicit employment
    contracts for lifetime employment.

4
1.
  • Some networks of firms may attain unusual
    technological and economic growth when
    information/knowledge is shared among firms.

5
2.
  • There is a public interest in not impeding this
    growth.

6
3.
  • Employee mobility is one valuable institution of
    information transmission

7
4.
  • Silicon Valley, California, illustrates both high
    employee mobility and long-term technological and
    economic growth.

8
5.
  • Some of the valuable information transmitted by
    mobile employees fits the legal definition of
    trade secrets. It is not possible to form a
    start-up, or even hire an experienced employee,
    without simultaneously acquiring information that
    is, legally, the trade secret of a former employer

9
6.
  • Employers in Silicon Valley do not enforce their
    rights under trade secret law.

10
7.
  • This refusal is rational and reflects many
    factors
  • A. reputation for suing employees will hurt both
    recruiting, stock price, and reputation among
    peers
  • B. trade secrets suits are hard to win and rarely
    accomplish anything
  • C. the firms best investment is in employee
    information that it cannot retain
  • D. firms hire as well as lose information.
    Shared information reduces RD costs
  • E. an implicit promise not to interfere with
    future employment is the price of the employees
    willingness to accept precarious employment

11
8.
  • Legal enforcement of trade secrets should, (a) at
    least, reflect the underlying implicit employment
    contract. (b) consider reducing the scope of
    trade secret, to advance the public interest in
    technological and economic growth.

12
What was the evidence?
  • 1. growth through sharing anecdotal comparisons
    of Silicon Valley with Boston (Saxenian 1994)
    let alone Germany New Jersey. Franco Filson
    (2000) Knowledge Diffusion Through Employee
    Mobility hard disk drives.
  • 2. public interest normative
  • 3. employee mobility no rigorous comparisons
    with other information spillover
  • 4. Silicon Valley hard to untangle relative
    contributions of HR practice, venture capital,
    Stanford, history, sunshine.
  • 5. employees take trade secrets many anecdotes
    (Saxenian, Sitkin, etc.)
  • 6. Employers dont enforce rights anecdotes
    interviews
  • 7. Legal change normative suggestions very
    cautious

13
What have we learned 2003-05?
  • 1. High turnover of employees is positive for
    productivity of computer firms.
  • 2. How employees transmit information, documented
    through patent citations.
  • 3. Silicon Valley really does have more job
    hopping.
  • 4. Failure of German attempt to encourage venture
    and equity investment in tech, without changing
    employment market.
  • 5. Employee incentives on open-source software
    projects illustrate rationality of open
    collaboration followed by employee mobility

14
Data on turnover and productivity
  • Fredrik Andersson, Clair Brown, Benjamin
    Campbell, Hyowook Chiang Yooki Park. The Effect
    of HRM Practices and RD Investment on Worker
    Productivity http//web.mit.edu/ipc/sloan05/HRM_R
    D_Andersson_et_al.pdf
  • Study relates data for computer firms employee
    earnings and employment from state unemployment
    insurance Census and Bureau of Labor Statistics
    data on RD and HRM practices (unpublished,
    preliminary)
  • For firms with high levels of RD, high hiring
    rate for high- and low-educated workers is
    positive for productivity. So are multiple
    ports of entry and payment by incentives.
  • For low RD firms, internal job ladders for
    low-educated workers are positive for
    productivity

15
How employees transmit information
  • Patent citation literature, e.g. Adam B. Jaffe
    Manuel Trajtenberg, Patents, Citations, and
    Innovations A Window on the Knowledge Economy
    (MIT Press 2002).
  • Only one reference to labor market, at 138 n.59
    full employment equilibrium a nuisance
    parameter they assume inelasticity of labor

16
New understandings of knowledge transmission from
patent citations
  • Almeida Kogut Silicon Valley the only region
    where firm patent applications cite patents from
    other firms.
  • Lee Fleming, Charles King III Adam Juda. Small
    Worlds and Regional Innovative Advantage.
    Harvard Business School Working Paper 04-008
    (2004) map of all collaborations in 2.8 million
    US patents 1975-2002. Silicon Valley many more
    collaborations. Agglomeration of paths of
    collaboration.
  • Ajay Agrawal et al. Gone But Not Forgotten Labor
    Flows, Knowledge Spillovers, and Enduring Social
    Capital. NBER WP 9950 (2003). Disproportionate
    patent citations from regions where inventor was
    formerly employed. Demonstrates social capital.
    Even (especially?) mobile employees invest in
    social capital that survives geographic
    separation.

17
Data on Silicon Valley job-hopping
  • Bruce Fallick, Charles A. Fleischman James B.
    Rebitzer. Job Hopping in Silicon Valley Some
    Evidence Concerning the Micro-Foundations of a
    High Technology Center. NBER WP 11710 (Oct.
    2005). College-educated men in computer industry
    in Silicon Valley change jobs 40-90 more
    frequently than mean (depending on definition of
    computer industry). Other California computer
    clusters similar to Valley. No general tendency
    among Californians to change jobs frequently.

18
You cant do it without labor market reforms
  • Sigurt Vitols Lutz Engelhardt. National
    Institutions and High Tech Industries A
    Varieties of Capitalism Perspective on the
    Failure of Germanys Neuer Markt. Discussion
    Paper SP II 2005-03, Wissenschaftszentrum Berlin
    für Sozialforschung. German attempt 1997-2003 to
    encourage venture capital and equity investment
    in high tech startups though more frequent and
    stricter reporting requirements, ease of listing
    new companies, and protection for minority
    shareholders. Failed for several reasons,
    including low rates of investment by German
    households and pensions. However the lack of
    an open market for mid-career scientists and
    entrepreneurs makes it very difficult to attract
    the type of labor needed to create successful
    high-growth entrepreneurial companies.. (at 2).
    Only Italy (6.9) has lower percentage of high
    tech scientific and technological personnel who
    took a new job in the last year than does Germany
    (10.1)(Eurostat). Contrast Spain (23.8),
    Ireland (22.6), UK (18.3).

19
New Jersey Germany of the New World?
  • Among US states, New Jersey is like Germany
    educated workforce many scientists and engineers
    working for large companies (ATT, Lucent, drug
    companies) highest per capita income but
    essentially no start-ups, venture capital, legal
    or financial infrastructure. Not coincidentally,
    it is the only state where an appellate court has
    adopted the doctrine of inevitable disclosure of
    trade secrets, and NJ vigorously enforces
    covenants not to compete.

20
Open Source Projects and Employee Incentives
  • Open source software (Apache, Linux, other ).
    Extreme example of shared information with no
    property rights. What is employee incentive?
    Just love?
  • Il-Horn Hann et al. An Empirical Analysis of
    Economic Returns to Open Source Participation
    (unpub. 2004). http//www.rcf.usc.edu/hann/publi
    cations_files/economic_returns_to_open_source_part
    icipation.pdf . Among programmers who
    contributed to Apache, 36 changed jobs in 1998.
    Those who had attained high rank within the
    Apache community enjoyed wages 14-29 higher
    (depending on rank). Rank signals desirable
    skills that cannot otherwise be easily observed.
    Confirms rationality of software employee
    accepting precarious employment (or volunteering)
    that pays off on next, paid job.

21
Legal Conclusions Reinforced
  • Suit against departing employees to be evaluated
    against implicit employment contract. Did
    employer implicitly promise stability, or only
    that employee would be gone in 18 months? If the
    latter, did the employer implicitly promise not
    to interfere with employee mobility and
    transmission of some information about what he
    worked on? If the evidence is unclear, would
    such an agreement have been ex ante efficient for
    the employer (in light of studies reviewed here)?
  • Public interest favors finding most or all
    covenants not to compete to be unreasonable,
    hence unenforceable. Concept of trade secret
    should conform to actual usage of employers and
    employees. Strong burden should be placed on
    employer to show a social advantage in
    recognizing trade secret.
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