MTEI Seminar by Prof. Denisa Mindruta, HEC Paris
Event details
| Date | 10.11.2014 |
| Hour | 12:00 › 13:30 |
| Speaker | Prof. Denisa Mindruta, HEC Paris |
| Location | |
| Category | Conferences - Seminars |
"A Two-sided Matching Approach for Partner Selection and Assessing Complementarities in Partners’ Attributes in Inter-firm Alliances"
Abstract
Strategic alliances are undertaken to create value through complementarities of resources and capabilities of the partner firms. We develop a matching framework for the study of strategic alliances, taking a market perspective that explicitly incorporates key features of transactions in strategic alliances: two sided decision making in voluntary collaboration; quest for complementarities between indivisible and heterogeneous partner attributes; and competition on each side for partners on the other side. Noting the significant inference limitations of single agent binary choice models used predominantly in extant strategic alliances literature, we discuss recent econometric advances in two-sided matching models for assessing complementarities among partner attributes and partner choice. We assess the relative performance of both methodologies when estimating parameters within simulations based on a known functional relationship, and within the context of research alliances in the bio-pharmaceutical industry.
Abstract
Strategic alliances are undertaken to create value through complementarities of resources and capabilities of the partner firms. We develop a matching framework for the study of strategic alliances, taking a market perspective that explicitly incorporates key features of transactions in strategic alliances: two sided decision making in voluntary collaboration; quest for complementarities between indivisible and heterogeneous partner attributes; and competition on each side for partners on the other side. Noting the significant inference limitations of single agent binary choice models used predominantly in extant strategic alliances literature, we discuss recent econometric advances in two-sided matching models for assessing complementarities among partner attributes and partner choice. We assess the relative performance of both methodologies when estimating parameters within simulations based on a known functional relationship, and within the context of research alliances in the bio-pharmaceutical industry.
Practical information
- General public
- Free