The option value in Jack‐of‐all‐trades investment

Date01 March 2021
DOIhttp://doi.org/10.1002/sej.1316
Published date01 March 2021
RESEARCH ARTICLE
The option value in Jack-of-all-trades investment
Richard J. Arend
University of Southern Maine, Portland, Maine
Correspondence
RichardJ. Arend, L.L. Bean/Lee Surace Chair in
StrategicManagement, Professor of Business
Administration,School of Business, Collegeof
Management& Human Service, University of
SouthernMaine, PO Box 9300, Portland,ME
04104.
Email: richard.j.arend@buildingbettertheory.net
Research Summary: The Jack-of-all-trades model assumes there is
demand in the economy not only for individuals who are general-
ists but also for those who are specialists, and that organizations
need multiple skills to succeed. Thus, generalists have the option of
acting as self-employed entrepreneurs while specialists must work
for corporations. This model generates empirically testable hypoth-
eses but also holds glaring deficiencies. One deficiency is the exclu-
sion of risk, a deficiency questionable in any model explaining
entrepreneurial activity. Adding risk to the model is straightfor-
ward, but necessitates the analysis of the option value for individ-
ual investments in generalist skills. We discuss how those novel
additions change the predictions and applications of the model, and
what that implies for the relevant literatures in entrepreneurial
human capital, activity and theory assessment.
Managerial Summary: In this conceptual paper, we correct the origi-
nal Jack-of-all-trades model of entrepreneurial activity for risk (and for
uncertainties that can be captured as risk). Decision-makers in human
skills investments can exploit that risk using an options approach. Our
correction affects the original model's predictions in several ways,
including increasing expected entrepreneurial activity in contexts of
high volatility concerning the economic value of such activity. A ne w
set of predictions based on contextual volatility is identified. The new
results have implications for generalist skills investments, for when to
hire specialists, and for the effects of weakest linkemployees. For
potential entrepreneurs, we recommend understanding the value of
options thinking in personal skills investments, as well as the effects
on scale that tightly held generalist skills imply.
KEYWORDS
entrepreneurial activity, Jack-of-all-trades, option value, skills
investment
1|INTRODUCTION
Entrepreneurial activity is one of the most important phenomena underlying economic advancement
(e.g., Audretsch & Keilbach, 2004; Elfenbein, Hamilton, & Zenger, 2010; Strohmeyer, Tonoyan, & Jennings, 2017).
Received: 2 February 2018 Revised: 22 December 2018 Accepted: 28 January 2019 Published on: 27 March 2019
DOI: 10.1002/sej.1316
© 2019 Strategic Management Society
Strategic Entrepreneurship Journal. 2021;15:121143. wileyonlinelibrary.com/journal/sej 121
Yet, despite that importance, there exist relatively few widely accepted theories addressing the big questions of who
engages in that activity and why they are successful at it. Lazear's (2002, 2004, 2005) relatively recent Jack-of-all-
trades model (denoted JAT henceforth) of entrepreneurial activity stands out as one of those few theories, and we
believe the most straightforward to test. JAT is based on a relatively simple economic system model that comple-
ments the three other widely cited conceptualizations of entrepreneurial activity (Levie & Autio, 2008). It comple-
ments the highly cited individual-opportunity nexus conceptualization (Shane & Venkataraman, 2000) because the
JAT specifies that individual entrepreneurial human capital (e.g., Davidsson & Honig, 2003), in the form of diverse
and balanced business skills, is the primary reason why new venture opportunities are pursued. It complements the
highly cited Austrian (e.g., Kirzner, 1999) conceptualization because the JAT suggests that balanced skills are a pri-
mary reason why entrepreneurs would be more alert to opportunities to combine existing ideas. And, it complements
Schumpeter's (1934) highly cited creative destruction conceptualization because the JAT explains that diverse knowl-
edge is needed not only to invent, but even more so to commercialize, new forms of value.
While the JAT hasgained traction explaining specific patternsof entrepreneurial activity, itis surprising that it has
done so while explicitly excluding adefining characteristic ofsuch activity, that of risk. TheJAT has enjoyed wide empiri-
cal support predicting patternsin who will start up new ventures and succeed (as those individuals with diverse skills),
as evidenced in macro-level studies in the entrepreneurship and economics outlets (e.g., Åstebro, Chen, & Thompson,
2011; Stuetzer, Obschonka, & Schmitt-Rodermund, 2013; Tegtmeier, Kurczewska, & Halberstadt, 2016). However, it
has done so without including the risks involved in entrepreneurial activity, like those arising from: the effects of the
economicchanges that the new product,service, or organizationalform will entail; the questionof whether the underly-
ing technology will work; the effects from regulators and incumbents reactions; the questions of whether consumers
will understand the product and buy it, or whether the supply chain will cooperate in a timely manner; and so on
(e.g., Teplensky, Kimberly, Hillman, & Schwartz, 1993) .We contribute to the literature on entrepreneurial theory, and
specificallyto the JAT stream and its human capital investmentimplications, by addressingthat need to model risk (and
its equivalents
1
) and highlightingthe errors that can occur whenit is not modeled. The JAT stream focuseson the char-
acteristicsof entrepreneurs, identifyingthe skills characteristicsmore likely to result in new ventures and their success,
with a purpose of predicting and verifying the better characteristics. That stream helps address big questions in the
field, like who chooses to become an entrepreneur and whyare some more successful; but, sofar that stream has not
accountedfor the effects of risk and optionalityin the entrepreneur's investmentsin her skills and so part of our contri-
bution is to addressthat gap. We analyze what happens when entrepreneurship-related risk is added to the JATmodel
by not only assessing how the supportfor the original predictions is affected, but also how the contextual risk-related
volatility overthe value of entrepreneurshipaffects skills investment patterns.
2
Note that when such risk is includedin
the JAT model, it is alsonecessary to assess the option valuesof specific human capital investments that areassumed to
undergirdthe choice and success of entrepreneurial activity.
Our analysis is for scholars in entrepreneurship (with interests in the JAT, risk, human capital, options, decision-
making, and theory-improvement), for related policy-makers (with interests in in entrepreneurial activity, skills train-
ing, and labor pool quality), and for business partners interested in new venture assessment and support. The gap we
identify in the JAT is its lack of accounting for risk, risk being a defining characteristic of an entrepreneurial context.
1
Entrepreneurship is concerned with many forms of uncertainty (e.g., Packard, Clark, & Klein, 2017). However, only when the form
can be reduced to an equivalent knowledge state of risk (i.e., where the main distributional characteristics [the mean and variance] of
the decision's possible outcomes are known or assumed) can any rational choices be made (i.e., to a state where one choice can be
calculated with a higher expected value than another, whether that value be objective or subjective). For the purposes of this paper,
we assume that uncertainty can be reduced to such risk, and so calculations, such as those involved option valuation, can proceed.
For instances where this assumption is not valid, or where decision-making is not rational, the analysis here is silent. Given our sub-
ject is the economic paper of Lazear, where that necessary information is available and the decision-making is rational, our assump-
tions are appropriate.
2
Note that our result that contextual volatility affects skills investment patterns can be used to separate out alternative explanations
for observed skills investment patterns (i.e., if the observed pattern varies with volatility then our JAT model is supported while
others may not be).
122 AREND

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