Trans-specialization understanding in international technology alliances: The influence of cultural distance

In the information age, the firm's performance hinges on combining partners' specialist knowledge to achieve value co-creation. Combining knowledge from different specialties could be a costly process in the international technology alliances (ITAs) context. We argue that the combination of different specializations requires the development of "trans-specialization understanding" (TSU) instead of the internalization of partners' specialist knowledge. This article examines the extent to which inter-firm governance in ITAs shapes TSU, and whether the development of TSU is endangered by cultural distance. We hypothesize that relational governance, product modularity, and cultural distance influence TSU development, which in turn influences firm performance. We collected data from 110 non-equity ITAs between software and hardware firms participating in the mobile device sector. We analyzed the data using partial least squares path modeling. Our findings suggest that TSU largely depends on product modularity and relational governance in alliances. However, while cultural distance negatively moderates the path from relational governance to TSU, it has no effect on the relationship between product modularity and TSU. Based on this, we conclude that product modularity can substitute for relational governance when strong relational norms are not well-developed in international alliances. Thus cultural distance does not invariably amount to a liability in ITAs

Pre-drinking and alcohol-related harm in undergraduates: the influence of explicit motives and implicit alcohol identity

© 2014, Springer Science+Business Media New York.The present study investigated how pre-drinking could be explained using a model based on dual-systems theory, incorporating measures of explicit and implicit constructs. Undergraduate students (N = 144; 44 male; 100 female; M<inf>age</inf> = 20.1 years), completed an online survey comprising measures of pre-drinking motives, a measure of pre-drinking cost motives, and an alcohol identity implicit association test. Variance-based structural equation modelling revealed that the predictors explained 34.8 % of the variance in typical pre-drinking alcohol consumption and 25 % of the variance in alcohol-related harm. Cost, interpersonal enhancement, and barriers to consumption motives predicted higher typical pre-drinking alcohol consumption and greater alcohol-related harm. Higher situational control scores predicted lower typical pre-drinking alcohol consumption, and lower alcohol-related harm. Positive implicit alcohol identity predicted alcohol-related harm, but not typical alcohol consumption. Results indicate that a dual-systems approach to pre-drinking has utility in predicting alcohol-related harm and may inform interventions to reduce excessive alcohol consumption and associated harm