Working Abroad, Working With Others: How Firms Learn to Operate International Joint Ventures.

When the Social Structure Overshadows Competitive Incentives: The Effects of Network Embeddedness on Joint Venture Dissolution

“…We used a random effects probit regression to account for the possibility of random effects across dyads. Further, to ensure that the selection equation includes at least one variable with a non-zero coefficient that does not affect the second equation, we did not include firms' combined size (partners' assets in the chemical industry) in the estimation of JV dissolution, since additional analysis showed that this variable has no significant effect on JV dissolution, thus echoing findings of prior examination (Barkema et al, 1997). As Table B1 shows, the results are consistent with prior research.…”

“…We used the Weibull distribution, which accounts for a monotonic effect of time (Barkema et al, 1997;Dussauge et al, 2000;Park & Russo, 1996). Our results are robust to lognormal and gamma distributions that prior work used as alternatives (e.g., Dussauge et al, 2000;Park & Russo, 1996).…”

“…To measure liquidity asymmetry (current assets / current liabilities), and debt-equity asymmetry (long term debt / shareholder equity), we used the ratio of the lesser to the greater value within the dyad. We included a dummy variable to control for cultural differences (Barkema, Shenkar, Vermeulen, & Bell, 1997;Park & Ungson, 1997;Parkhe, 1993a). This variable equals one when the parent firms were based in different regions (U.S., Europe, or Japan) and zero otherwise.…”

“…Similarly to prior work on joint venture dissolution, we were unable to control for joint venture characteristics such as size or performance (Barkema et al, 1997;Dussauge et al, 2000;Kogut, 1989;Park & Russo, 1996;Park & Ungson, 1997). Obtaining reliable data on specific joint venture attributes such as size and financial performance is extremely difficult, especially in a longitudinal study.…”

Catching the Runaway Train Innovation Management in Russian Railways

“…Such positions turn a blind eye on the importance of the heterogeneity of knowledge sources for innovation performance (Porter 1990;Prahalad and Hamel 1990;Hagedoorn and Schakenraad 1994). Previous contributions mention the gap on knowledge coming from outside existing networks (see, for example, Enkel and Gassmann 2010), especially as a tool to overcome transnational differences by accumulating experience in cross-border collaboration (Barkema et al 1997). Such knowledge transfer processes are not an easy task though.…”