A pricing‐error rule on share distribution in equity joint ventures: The Bayesian approach

Equity joint ventures (EJVs) are a popular governance mode of inter‐firm cooperation that has attracted substantial research attention. The literature, however, still lacks a precise rule for the parents to follow in splitting the equity shares of an EJV, although share distribution is critical to almost all aspects of the co‐ownership relationship. In this study, we fill this literature gap by taking the Bayesian approach to draw a pricing‐error rule on share distribution in EJVs. More specifically, we contend that equity participation by two firms in an EJV allows profit sharing to correct for the errors that they might commit in pricing their inputs to the EJV. For profit sharing to fully nullify such pricing errors, the shares of an EJV must be split between the parent firms in a percentage combination that matches the relative sizes of their pricing errors. Because pricing errors are observable only afterward, share distribution in EJVs resembles a Bayesian process, in which the partners keep updating their estimates on pricing errors to adjust share distribution to a percentage combination that could best nullify their pricing errors. Thus, the eventual outcome of share adjustment is EJV buyout, in that the partner whose pricing errors remain substantial buys out the shares of the other whose pricing errors have become tolerable.     

The impact of team‐member exchange,differentiation, team commitment,and knowledge sharing on R&D project team performance

This paper integrates team‐member exchange (TMX), affective commitment, and knowledge sharing to examine how work unit TMX influences employees' R&D project team commitment and intention to share knowledge, and how team knowledge‐sharing intention and TMX differentiation influences team performance. The results support the relationships between work unit TMX and employees' intention to share knowledge and team commitment. In addition, the results show that work unit TMX increases intention to share knowledge through increasing group members' team commitment. At the group level, the results support the relationships between team knowledge‐sharing intention and team performance. The results also show that TMX differentiation moderates the relationship between work unit TMX and team performance. That is, greater work unit TMX is more likely to achieve higher team performance in a team with low TMX differentiation as opposed to a team with high TMX differentiation. Implications for theory building, future research, and R&D management are discussed.