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Academic commercialization and changing nature of academic cooperation

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Abstract

Recent economic policies emphasize the role of academic science in technological innovation and economic growth and encourage universities and individual academics to engage in commercial activities. In this trend of academic commercialization, a growing concern has been expressed that its potential incompatibility with the traditional norms of open science could undermine the cooperative climate in academia. Drawing on the framework of evolution of the cooperation, this study examines the changing nature of academic cooperation under the current policy trend. In an ideal state of open science, academics are supposed to cooperate gratis and unconditionally. However, results predict that the commercialized regime could compromise underlying mechanisms of cooperation and allow defectors to prevail. As the trend further grows, academics would become more demanding of direct reward in exchange for cooperation, and they would refrain from engaging in cooperation but would prefer to work independently. Some interventions (e.g., centralized rewarding) could mitigate the problem but require delicate system design.

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Notes

  1. Some literature criticizes this approach because knowing the reputation of other players is practically difficult (e.g., Leimar and Hammerstein 2001).

  2. The variation of cooperation behavior and reputation rules is comprehensively studied by Ohtsuki and Iwasa (2004), and this study draws on one of the most stable and efficient.

  3. This setting is chosen mainly for mathematical tractability. I found from interviews that some academics in fact avoid cooperation if no information is available about recipients. However, the opposite assumption is plausible, where a DISC donor takes its recipient as good when his reputation is unknown. A more realistic assumption may be that DISC donors guess recipients’ reputation based on the frequency of good players. All these settings give qualitatively similar results, though the magnitude of the commercialization effect may differ.

  4. The dynamics without this assumption are analyzed by Nowak and Sigmund (1998). I suppose that this assumption is justifiable due to rather frequent resource sharing in academia (e.g., Walsh et al. 2007).

  5. In this and the following computation, the number of iterated game rounds is ignored since it is irrelevant when the equilibrium reputation is used.

  6. The transition between non-commercial and commercial academics is discussed in the Supplementary Material.

  7. In reality, the frequency of each type is unknown. From the fact that indirect reciprocity is widely observed in resource sharing, I assume that the frequency of DISC is greater than the unstable equilibrium and the dynamics move toward the cooperative regime when COM does not exist. With this assumption, this mathematical argument implies that a sufficient frequency of COM shifts the equilibrium so that the dynamics are reversed toward the non-cooperative regime.

  8. This setting is similar to Trust Game (Berg et al. 1995) but is different in that donors can know whether recipients are willing to reward through negotiation.

  9. In the case of coauthorship, our interviewees suggested that the promise of coauthorship is usually kept. Of course, recipients may fail to publish a paper, which is understood as discounted value of the reward.

  10. ALLC is dominated by DISC and PAY, and ALLD is dominated by PAY.

  11. I assume that this is the case though it needs empirical investigation. The rate of receiving cooperation is q/(2 − q) at the pure DISC equilibrium and p at the pure PAY equilibrium when no COM exists. Thus, reward-based cooperation is socially less desirable than indirect reciprocity if p < q/(2 − q) (e.g., p < 0.67 if q = 0.8).

  12. Because ALLC is dominated by DISC and PAY, and ALLD is dominated by PAY and ABST, the dynamics of these three types are of the ultimate interest.

  13. See the Supplementary Material.

  14. This is the case even if c < r < β because recipients would deny bilateral private reward knowing that PAY donors would cooperate for centralized reward anyway.

  15. The effect of different sizes of centralized rewarding is examined in detail in the Supplementary Material.

  16. This also has a similar effect to centralized rewarding. For donors, the cooperation fee paid by recipients is equivalent to the reward paid by the centralized rewarding. For recipients, fee payment can be understood as reduction of cooperation benefit.

  17. Even if DISC recipients are allowed to pay bilateral rewards, Prediction 2 holds for most of the parameter region, but in a small parameter region, DISC gains advantage to PAY when COM invades.

  18. Details are given in the Supplementary Material.

  19. The region of p is restricted so that DISC can be socially more desirable than PAY at least when COM does not exist. See fn. 11.

  20. No incident was found where two or three solutions were in (0,1).

  21. Details are given in the Supplementary Material.

  22. x *0 is the solution of ∂k/∂x 0 = k = 0 for x 0. A Monte-Carlo simulation shows that x *0 is negligibly small; the maximum of x *0 of 10,000 runs was x *0  = 0.012. Thus, a very small frequency of COM is enough to negatively affect DISC.

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Acknowledgments

I am grateful to Yasunori Baba, Thomas Hellmann, David N. Laband, Hisashi Ohtsuki, Nobuyuki Takahashi, John P. Walsh, and an anonymous reviewer for their critical and insightful suggestions. An earlier version of this paper was presented at the 14th International Schumpeter Society Conference, and I acknowledge Andreas Chai and Jason Potts for their review. This study is partly supported by the Konosuke Matsushita Memorial Foundation and Grant-in-Aid for Research Activity Start-up of Japan Society for the Promotion of Science (#23810004).

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Correspondence to Sotaro Shibayama.

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Mathematical appendix

Mathematical appendix

1.1 Prediction 1

\( g=\frac{1}{2-q{z}_3\left(1-{x}_0\right)} \) by solving g 2 = g 0 = 1 − g, g 3 = 1 − (1 − q)g, and g = x 2 g 2 + x 3 g 3 + x 0 g 0. With (4a) and (4b), \( {P}_3-{P}_2=\frac{q\left\{qb{z}_3\left(1-{x}_0\right)-c\right\}}{2-q{z}_3\left(1-{x}_0\right)} \). The solution of P 3 − P 2 = 0 for z 3 gives \( {z}_3^{*}=\frac{c}{qb\left(1-{x}_0\right)} \). \( \frac{d{z}_3^{*}}{d{x}_0}=\frac{c}{qb{\left(1-{x}_0\right)}^2}>0 \).

1.2 Prediction 2

I assume that recipients of self-regarding types (PAY and COM) accept paying bilateral rewards, but that DISC does not because it violates the norms of open science.Footnote 17 Thus, PAY donors cooperate with PAY and COM recipients with the probability of p but never cooperate with DISC. With this setting, the equilibrium reputation of PAY is given by g 4 = (1 − g 3)x 3 + {pg 4 + (1 − p)(1 − g 4)}x 4 + {pg 0 + (1 − p)(1 − g 0)}x 0, where g 0 = 1 − gg 3 = 1 − (1 − q)g and g = x 3 g 3 + x 4 g 4 + x 0 g 0.

Formally, Prediction 2 states \( \frac{d{z}_3^{*}}{d{x}_0}>0 \), where z *3 is the solution of P 3 − P 4 = 0 for z 3. From (5a) and (5b), P 3 − P 4 = b(g 3 − g 4)qx 3 − p(β − c)x 0 − p(b − γ + β − c)x 4 − cgq. This is rearranged as \( \frac{f\left({z}_3,{x}_0\right)}{h\left({z}_3,{x}_0\right)} \), where f and h > 0 are polynomials of x 0 and z 3.Footnote 18 Since \( \frac{d{z}_3^{*}}{d{x}_0}>0 \) is not analytically provable, I indirectly show this by simulation. From the whole parameter regions, \( c\in \left(0,b\right),q\in \left(c,1\right),p\in \left(0,\frac{q}{2-q}\right) \),Footnote 19 \( \beta \in \left[c,b\right],\ \gamma \in \left[0,\ \beta \right], \) and x 0 ∈ [0, 1), I randomly choose a set of parameters, with which f(z 3, x 0) = 0 is numerically solved for z 3. If a solution is found in (0,1), the same equation is solved again with the same set of parameters except that x 0 is replaced by x 0 + ε, where \( \varepsilon =\frac{1}{10000} \). The first solution is denoted by z *3 and the second by z * *3 . This computation is repeated 100,000 times. Approximately 70 % of the time, no solution was found in (0,1). For the rest, a single solution was found in (0,1),Footnote 20 where z * *3  > z *3 always holds. This implies \( \frac{d{z}_3^{*}}{d{x}_0}>0 \). Because f is a cubic polynomial of z3 whose leading coefficient >0 and f(0, x 0) < 0, z *3 is the unstable equilibrium; i.e., P 3 − P 4 < 0 if z 3 < z *3 and P 3 − P 4 > 0 if z 3 > z *3 .■

1.3 Prediction 3 (DISC vs. ABST)

The game involving ABST is played as follows. Two players are randomly chosen from a population of DISC, ABST, and COM. When ABST is chosen as a donor, he always defects, so payoffs for both sides are zero. When ABST is chosen as a recipient, he does not ask for cooperation, where the payoff for ABST is σ while that for a donor is zero. As the donor neither defects nor cooperates, his reputation does not change. Because the reputations of DISC and COM are unaffected by games with ABST recipients, reputation is computed only within non-ABST players; i.e., g 3 = 1 − (1 − q)g − 5 and g 0 = 1 − g − 5, where \( {g}_{-5}=\frac{x_3{g}_3+{x}_0{g}_0}{x_3+{x}_0} \).

Prediction 3 is formally \( \frac{d{z}_3^{*}}{d{x}_0}>0 \), where z *3 is the solution of P 3 − P 5 = 0 for z 3. From the reputation equations, (6a), and (6b), \( {P}_3-{P}_5=\frac{q\left\{\left(b-c\right){\left(1-{x}_0\right)}^2{z}_3^2+\left(b+q-2c\right)\left(1-{x}_0\right){x}_0{z}_3-c{x}_0^2\right\}}{\left(2-q\right)\left(1-{x}_0\right){z}_3+2{x}_0}-\sigma \). Let k(z 3, x 0) = P 3 − P 5. Since k(z *3 , x 0) = 0, \( \frac{d{z}_3^{*}}{d{x}_0}=-\frac{\partial k}{\partial {x}_0}\ /\frac{\partial k}{\partial {z}_3} \). As \( \frac{\partial k}{\partial {z}_3}>0 \) is easily shown, proving \( \frac{\partial k}{\partial {x}_0}<0 \) suffices. \( \frac{\partial k}{\partial {x}_0} \) is rearranged as \( \frac{k_2\left({z}_3,{x}_0\right)}{k_1\left({z}_3,{x}_0\right)} \), where k 1 > 0 and k 2 are polynomials of x 0 and z 3.Footnote 21 As \( \frac{\partial {k}_2}{\partial {x}_0}<0 \) is easily shown, it follows that \( \frac{\partial k}{\partial {x}_0}<0\ \forall {x}_0\Leftarrow {k}_2\left({z}_3,0\right)<0\iff {z}_3>\frac{\left(qb-2c\right)\left(1-q\right)}{\left(2-q\right)\left(b-c\right)} \). Since k(z *3 , x 0) = 0, the sufficient condition for \( \frac{\partial k}{\partial {x}_0}<0\ \forall {x}_0 \) is \( {\left.{z}_3^{*}\right|}_{y=0}=\frac{\left(2-q\right)\sigma }{q\left(b-c\right)}>\frac{\left(qb-2c\right)\left(1-q\right)}{\left(2-\mathrm{q}\right)\left(b-c\right)}\iff c>\frac{qb}{2} \) or \( \sigma >\frac{q\left(1-q\right)\left(qb-2c\right)}{{\left(2-q\right)}^2} \). Otherwise, ∃ x *0  ∈ (0, 1) s.t. \( \frac{\partial k}{\partial {x}_0}<0\left({x}_0>{x}_0^{*}\right) \) and \( \frac{\partial k}{\partial {x}_0}>0\ \left({x}_0<{x}_0^{*}\right) \).Footnote 22 In sum, if c or σ is sufficiently large, COM offers a favorable condition for ABST regardless of COM’s frequency. Otherwise, with a minimal frequency of COM, ABST gains advantage over DISC.

1.4 Prediction 3 (PAY vs. ABST)

Since DISC is not present, reputation does not play a role. From (6b) and (6c), P 4 − P 5 = p(β − c)(x 4 + x 0) + p(b − γ)x 4 − σ. Solving P 4 − P 5 = 0 for z 4, \( {z}_4^{*}=\frac{\sigma -p\left(\beta -c\right){x}_0}{p\left(b-\gamma +\beta -c\right)\left(1-{x}_0\right)} \). \( \frac{d{z}_4^{*}}{d{x}_0}=\frac{\sigma -p\left(\beta -c\right)}{p\left(b-\gamma +\beta -c\right){\left(1-{x}_0\right)}^2} \) . \( \frac{d{z}_4^{*}}{d{x}_0}>0 \) if σ > p(β − c). Thus, the invasion of COM is favorable for ABST when the matching rate (p) or the value of return payment (β) is sufficiently small.

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Shibayama, S. Academic commercialization and changing nature of academic cooperation. J Evol Econ 25, 513–532 (2015). https://doi.org/10.1007/s00191-014-0387-z

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