Impact of culture on ‘partner selection criteria’ in East Asian international joint ventures

Selecting the right partner is important for the success of alliances and joint ventures. For international joint ventures (IJVs) from diverse cultures the partner selection process can become complicated. Prior studies have investigated the alliances and joint ventures to develop a set of objective criteria for evaluating potential partners. This paper reports the study of IJVs formed by Singapore firms in Peoples Republic of China and India. The intent was to develop a methodology for identifying partner selection criteria in a cross-cultural setting. The findings reveal that the partner selection process follows a different logic in Confucian societies. Trust has been established to be essential for developing enduring co-operative relationships. The paper explores the concept of trust in relation to commitment and control in the context of the Confucian culture. We discover that trust is critical to partner selection. Cultural differences do not significantly alter the partner selection criteria for Singapore firms. Results support the view that while Chinese may depend on networks for social solidarity, social trust does extends beyond the family and is necessary for harmonious and successful joint ventures.     

Regression density estimation using smooth adaptive Gaussian mixtures

We model a regression density flexibly so that at each value of the covariates the density is a mixture of normals with the means, variances and mixture probabilities of the components changing smoothly as a function of the covariates. The model extends the existing models in two important ways. First, the components are allowed to be heteroscedastic regressions as the standard model with homoscedastic regressions can give a poor fit to heteroscedastic data, especially when the number of covariates is large. Furthermore, we typically need fewer components, which makes it easier to interpret the model and speeds up the computation. The second main extension is to introduce a novel variable selection prior into all the components of the model. The variable selection prior acts as a self-adjusting mechanism that prevents overfitting and makes it feasible to fit flexible high-dimensional surfaces. We use Bayesian inference and Markov Chain Monte Carlo methods to estimate the model. Simulated and real examples are used to show that the full generality of our model is required to fit a large class of densities, but also that special cases of the general model are interesting models for economic data.     

Marketing and development out of poverty: introduction to the special issue

• Reducing poverty by meeting the United Nations' Millennium Development Goals (MDGs) is an interdisciplinary undertaking, in which Marketing Science logically plays a role. The papers in this special issue cover a range of methods, from traditional consumer research experiments (on images of poverty, donation behaviour) and sample surveys on the credibility of celebrity marketing, to observational studies of community values and customs (on micro-finance or agricultural enterprise). Consumers of aid appeals, celebrity lobbying and financial services—these methods reveal—are behaviourally complex. They are infused with contradictory, competing and complementary tendencies. Underlying those different tendencies however is a common but often overlooked thread. For poverty to be significantly reduced by 2015, attention needs to be paid not only to goals, that is to task but also towards understanding the human relationships in the poverty reduction market. Marketing practise and research can contribute to poverty reduction by helping build (1) perspective-sharing, (2) accommodation to local needs and (3) appreciation of socio-economic and socio-cultural behavioural systems.

Copyright © 2008 John Wiley & Sons, Ltd.     

SOCIALLY ENGAGED MUNICIPAL STATECRAFT IN URBAN CHINA? The Shenzhen Biennale as Situated Planning Experiment

In this article I build on scholarship that calls for attention to the interventionist role of the municipality in steering development beyond growth to introduce the situated planning experiment as a mechanism through which municipalities practice socially engaged statecraft. The situated planning experiment foregrounds place-based innovative planning practices that incorporate the participation of citizen intellectuals who act as advocates for marginalized groups in China. I frame the Shenzhen UrbanismArchitecture Biennale (UABB) as a situated planning experiment, tracing its influence on the municipality's shift in approach to planning for urban village redevelopment. I show how the UABB is leveraged as an instrument for the municipality to connect social and economic objectives in development and how it presents differentiated opportunities for migrant residents to make viable urban lives. The article offers one possibility for theorizing the changing relationship between municipal entrepreneurialism and urban planning and critically evaluates the potential for socially engaged municipal statecraft, considering the Xi regime's focus on people-oriented urbanization. It represents one way in which studies of municipal statecraft can consider the variegated logics and forms of emerging post-growth state programmes and politics.     

The effects of economic news on commodity prices

We assess how commodity prices respond to macroeconomic news and show that commodities have been relatively insensitive to such news over daily frequencies between 1997 and 2009 compared to other financial assets and major exchange rates. Where commodity prices are influenced by news, there is a pro-cyclical bias and these sensitivities have risen as commodities have become increasingly financialized. However, models based on news still do a relatively poor job of forecasting commodity prices at daily frequencies. We also find some asymmetries in how commodity prices respond to news, most notably for gold, which alone among commodities acts as a safe-haven when “bad” economic news emerges.     

Antecedents to supplier integration in the automotive industry: A multiple-case study of foreign subsidiaries in China

Supplier integration has become an important concept for improving supply chain performance. The aim of this paper is to identify factors that facilitate and inhibit supplier integration in the context of the Chinese automotive industry. An inductive approach based on grounded theory was chosen as the research methodology, where data was collected through 30 detailed case interviews with subsidiaries of foreign automotive companies operating in China. The results indicate that buyer-side leadership is an important antecedent for building motivation, trust, and commitment among suppliers and for shaping their mindsets. This, in turn, facilitates strategic alignment and enables suppliers to build collaborative capabilities, which are finally shown to be a key enabler for successful supplier integration.     

May’s theorem in an infinite setting

We generalize May’s theorem to an infinite setting, preserving the elementary character of the original theorem. We define voting scenarios and generalized voting scenarios, and prove appropriate versions of May’s theorem. The case of generalized voting scenarios specialized to a countably infinite set of voters and the collections of all coalitions that have asymptotic density, shows that majority rule is the only aggregation rule that satisfies neutrality, irrelevance of null coalitions, anonymity, and positive responsiveness.     

Least squares model averaging by Mallows criterion

This paper is in response to a recent paper by Hansen (2007) who proposed an optimal model average estimator with weights selected by minimizing a Mallows criterion. The main contribution of Hansen’s paper is a demonstration that the Mallows criterion is asymptotically equivalent to the squared error, so the model average estimator that minimizes the Mallows criterion also minimizes the squared error in large samples. We are concerned with two assumptions that accompany Hansen’s approach. The first is the assumption that the approximating models are strictly nested in a way that depends on the ordering of regressors. Often there is no clear basis for the ordering and the approach does not permit non-nested models which are more realistic from a practical viewpoint. Second, for the optimality result to hold the model weights are required to lie within a special discrete set. In fact, Hansen noted both difficulties and called for extensions of the proof techniques. We provide an alternative proof which shows that the result on the optimality of the Mallows criterion in fact holds for continuous model weights and under a non-nested set-up that allows any linear combination of regressors in the approximating models that make up the model average estimator. These results provide a stronger theoretical basis for the use of the Mallows criterion in model averaging by strengthening existing findings.