We examine how supplier industry competition affects CEO incentive intensity in procuring firms. Using Bureau of Economic Analysis data to compute a weighted supplier industry competition measure, we predict and find that higher supplier competition is associated with stronger CEO pay-for-performance incentive intensity. This effect is incremental to that of the firm's own industry competition previously documented and is robust to alternative measures of supplier competition and to exogenous shocks to competition. Importantly, we show that performance risk and product margin act as mediating variables in the relation between supplier competition and CEO incentive intensity providing support for the theory underpinning our finding. We document that CEO compensation contracts are used as a mechanism to exploit the market dynamics of upstream industries to a firm's benefit. Our findings are economically important as suppliers provide, on average, 45 percent of the value delivered by procuring firms to the market (BEA, 2016).

Periodic demand forecasts are the primary planning and coordination mechanism within organizations. Because most demand forecasts incorporate human judgment, they are subject to both unintentional error and intentional opportunistic bias. We examine whether a disaggregation of the forecast into various sources of demand reduces forecast error and bias. Using proprietary data from a manufacturing organization, we find that absolute demand forecast error declines following the implementation of a disaggregated forecast system. We also find a favorable effect of forecast disaggregation on finished goods inventory without a corresponding increase in costly production plan changes. We further document a decline in positive forecast bias, except for products whose production is limited owing to scarce production resources. This implies that disaggregation alone is not sufficient to overcome heightened incentives of self-interested sales managers to positively bias the forecast for the very products that an organization would like to avoid tying up in inventory. Data Availability: Data are the property of the research partner and may not be redistributed by the authors.