How individualism–collectivism influences consumer responses to the sharing economy: Consociality and promotional type

With the explosion of online exchange of products, the sharing economy is experiencing ever-increasing growth. Despite the increasing popularity of lateral exchange market platforms as part of the sharing economy, research has not yet adequately investigated cultural effects on how consumers’ intentions to purchase products on these platforms. Using two studies, this paper examines whether consumers high in individualism versus consumers high in collectivism respond differently to platforms with low versus high consociality and how individualistic and collectivistic consumers respond differently to two types of promotions that relate to self-maximization. Findings in Study 1 indicated that consumers high in individualism (collectivism) have higher patronage intentions toward a platform low (high) in consociality. Findings in Study 2 suggested that in the presence of a promotion, collectivistic consumers respond comparably to promotional types across platforms, whereas individualistic consumers respond more positively to collective (individual) promotions when consociality is low (high). Further, felt commitment to others as a result of the consociality/promotional type relationship explains these effects. Theoretical and managerial implications are discussed.     

Testing Macro Models by Indirect Inference: A Survey for Users

With Monte Carlo experiments on models in widespread use we examine the performance of indirect inference (II) tests of DSGE models in small samples. We compare these tests with ones based on direct inference (using the Likelihood Ratio, LR). We find that both tests have power so that a substantially false model will tend to be rejected by both; but that the power of the II test is substantially greater, both because the LR is applied after re-estimation of the model error processes and because the II test uses the false model’s own restricted distribution for the auxiliary model’s coefficients. This greater power allows users to focus this test more narrowly on features of interest, trading off power against tractability.     

Communication via a strategic mediator

This paper investigates communication between an informed expert and an uninformed principal via a strategic mediator. We demonstrate that, for any bias in the parties' preferences, there exists a strategic mediator that provides the highest expected payoff to the principal, as if the players had communicated through an optimal non-strategic mediator.     

Driving forces of chemical risks for the European biodiversity

In the framework of the EU-funded research project ALARM (Assessing LArge-scale environmental Risks with tested Methods), an original method combining the DPSIR (driving forces–pressures–state–impacts–responses) framework and an analysis based on the distinction between the four spheres of sustainability (environmental, economic, social and political) has been developed. This paper presents the application of this method, called “the tetrahedral DPSIR” for the identification and analysis of driving forces of environmental chemicals risks for biodiversity, in Europe. The purpose of this methodology is to help reduce the pressures on biodiversity through modifying the driving forces behind them by offering scientific advice to policy makers. We frame our analysis in the context of the current policy, namely the implementation of REACH (Regulation on the Registration, Evaluation, and Authorization of CHemicals).