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NTU Management Review Vol. 33 No. 2 Aug. 2023




                   Recall that in our basic model, the marginal probabilities for the type-H and type-L
               creators to meet the threshold are p = β  e  and q=β  e  , respectively. When the two events
                                                            L
                                                              L
                                                 H
                                                   H
               are independent, the joint probability for both creators to meet the threshold P  should
                                                                                      HL
               be pq=β  e  β  e . To make the two events dependent while maintaining the marginal
                            L
                              L
                      H
                         H
               probabilities unchanged, we now assume that P  = pq + η, P =p(1-q)-η , P =(1-p)q-η, and
                                                                     H
                                                        HL
                                                                                 L
               P =(1-p)(1-q)+η, where η is an exogenous parameter measuring the dependency between
                0
               the two creators’ videos. If the parameter η is positive, the two events are positively
               correlated (maybe because the two creators’ styles are similar). On the contrary, if η is
               negative, the two events are negatively correlated. Note that when η = 0, the two events
               are independent, and the model is the same as our basic model. Table 3 lists the marginal
               and joint probabilities for all possible events.
                               Table 3 The Joint Probability Table under Dependency
                                               Type-L creator
                 Type-H creator                                            Marginal probability
                                       Meets            Does not meet
                     Meets           P HL  = pq + η    P H  = p(1 - q) - η          p
                 Does not meet     P L  = (1 - p) q - η  P 0  = (1 - p) (1 - q) + η  1-p
               Marginal probability       q                 1 - q


                   We analyze the new setting results in the following proposition. It turns out that the
               degree of dependency does not affect any player’s decision.
                   Proposition 5: For any reasonable value of η, the equilibrium effort exertion, contract
               design, and advertorial allocation decisions are all identical.
                   With the new setting of probabilities, the two creators’ effort exertion problems

               remain unchanged. This is because each of them only cares about whether her/himself may
               meet the threshold, and the marginal probabilities remain unchanged. It then follows that
               the equilibrium effort levels will still be those derived in Proposition 1. More interestingly,
               though the MCN company’s contract design problem is changed, the MCN company’s
               decisions remain unchanged. To explain this, let’s say η > 0 for a while. In this case, the
               additional benefit that may be earned when both creators meet the threshold is offset by
               the additional loss that will happen when only one creator meets the threshold with only

               an exogenous amount ηA deducted from the MCN company’s total profit. The opposite
               happens if η < 0. It then follows that all our major findings remain valid with dependency
               between the two events (except that the MCN company’s profit will be affected by an
               exogenous amount).


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