An empirical analysis of national and local advertising effect on price elasticity

This paper investigates the interaction effect of advertising and price on the market share of a consumer nondurable product. We postulate a model in which local advertising is thought to primarily affect the consumers' purchase by making the demand more price sensitive, and national advertising to affect the consumers' preference, thus making the demand less price sensitive. Moreover, we hypothesize that local advertising interaction will have more immediate effect, while national advertising interaction will have longer term interaction effects. We apply these ideas empirically, and find support for our hypotheses. Thus, the interaction effect of advertising and price can be characterized by both increased and decreased price sensitivity, depending on the type of advertising. Moreover, these effects may be present simultaneously for the same product.     

Investigating the recall inhibition effect: A test of practical considerations

Alba and Chattopadhyay (1985, 1986) have demonstrated that having consumers think about a familiar brand can interfere with the retrieval of competitive brand names, including those that might otherwise be considered for purchase. However, their research is silent about two issues of pragmatic importance. First, is it possible to inhibit retrieval of the consumer's preferred brand? Second, can an unfamiliar brand evoke recall inhibition? Our findings indicate that recall inhibition does not extend to the preferred brand. Our findings further suggest that recall inhibition can be induced by cueing consumers with an unfamiliar brand name, but that such inhibition is less pervasive than evoked by a highly familiar brand name.     

Combining revealed and stated preferences data

Our objective is to develop a unifying framework for the incorporation of different types of survey data in individual choice models. We describe statistical methodologies that combine multiple sources of data in the estimation of individual choice models and summarize the current state of the art of data combination methods that have been used with market research data. The most successful applications so far have combined revealed and stated preference data. We discuss different types of market and survey data and provide examples of research contexts in which one might wish to combine them. Although these methods show a great deal of promise and have already been used successfully in a number of applications, several important research issues remain. A discussion of these issues and directions for further research conclude the paper.     

Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.     

社区基金会的全球视野与中国价值

社区基金会发源于1914年的美国,在全球发展已有一百年的历程。社区基金会以满足本地需求为使命,以通过富有创造力的公益活动和卓越的领导能力推动社区建设为核心任务,正逐渐被世界上越来越多的社区与民众接受,成为公益组织的重要形式之一。本文以全球视野分析了社区基金会的定义、功能和运作经验,探讨培育发展中国特色社区基金会的价值和意义。     

Price competitiveness of tourism packages to Australia: Beyond the “Big Mac” index

One issue facing any country or region concerns its price competitiveness as a package tour destination. One method of measuring this is to use what in other contexts has been referred to as the Big Mac approach. The “Big Mac” is a simple product with ingredients in fixed proportions, whereas the tourism product is a very complex one comprising different components depending on tourist expenditure patterns. There is no equivalent tourism product offered across countries, as the nature of the product is tailored to the origin market, expenditure levels and the length of the trip involved. The key issue is that of how to standardize the products being compared, so as to determine their relative price competitiveness. A method of constructing price competitiveness indexes, developed by the authors, can be applied to develop measures of the price competitiveness of different tour packages. This paper has three aims: To set down the essence of the preferred approach to measuring price competitiveness, noting its advantages and limitations; to employ this approach to construct price competitiveness indexes for package tours to Australia from Japan and the USA; and to indicate areas for farther research into the price competitiveness of package tourism worldwide.     

A dynamic approach to the analysis of strategic alliances

The increasing trend in strategic alliance formation between major firms around the world, has prompted researchers from various disciplines to look at this phenomenon in great detail. In this paper, we review alternate approaches in the literature in this area. We then propose a non-linear dynamic approach to study the formation of competitive strategic alliances and contrast it with the traditional game-theoretic approach. The pros and cons of these two approaches are discussed with reference to a competitive alliance scenario. Dynamic models have significant managerial implications as they enable us to investigate ‘if-then’ type scenarios and project the impact of different strategies.     

Balancing social and political strategies in emerging markets: Evidence from India

This article explores the substitution and complementary effects between political and social strategies on firm performance in the context of an emerging market (EM). Using in‐depth, historical case‐study approach, the article investigates how companies integrate political and social resources in this market. Corporate performance includes traditional measures, such as accounting performance and nonfinancial measures like the ease of doing business. The study finds that social strategies are stronger enablers of firm long‐term performance than political strategies. The latter have a short‐term impact on performance, but their success over time is limited. The main drawback of reliance on political resources in EMs is the lack of political stability, fragmented polity, and weak political coalitions. We identify rather limited evidence of firms using these two strategies as complements. Thus, we suggest that firms should employ both these strategies in the EM.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

美国联邦政府政务公开制度的实践及启示

美国联邦政府的政务公开制度包括两大方面：政府信息的公开和政府会议的公开。规范前者的法律是《信息自由法》和《隐私法》，规范后者的法律是《阳光下的政府法》和《联邦咨询委员会法》。两者都与政务公开和公民的知情权有关。本文通过对四部法案背景、主要规定的介绍，揭示了美国政务公开制度的核心内容，同时考察了政务公开法案实施的现状。最后，本文还结合中国实际，论述了我们可以借鉴的方面。