Power moderates the impact of desire for exclusivity on luxury experiential consumption

This research examines the effect of desire for exclusivity on evaluations of luxury experiences and proposes a boundary condition for the effect. The scarcity effect literature suggests that consumers prefer scarce products due to limited supply because they appeal to consumers’ desire for exclusive consumption. Building on this thesis, the current research argues that luxury experiences are intrinsically scarce enough to appeal to consumers’ desire for exclusivity: Consumers with a strong desire for exclusivity will evaluate luxury experiences more favorably than those with a weak desire for exclusivity. A pilot study confirms a positive correlation between consumers’ desire for exclusivity and attitudes toward luxury experiences. Study 1 demonstrates that consumers with a strong desire for exclusivity show more favorable attitudes toward luxury experiences than those with a weak desire for exclusivity. Further, Study 2 finds that consumers’ power state (powerful vs. powerless) moderates the effect of desire for exclusivity on their affinity for luxury experiences: Only when feeling powerful do consumers with a strong desire for exclusivity evaluate luxury experience more favorably than those with a weak desire for exclusivity. However, this is not the case when consumers feel powerless.     

Competition in Markets and Competition for Markets

This paper builds on a distinction that is sometimes made between competition in a market and competition for a market. Competition for a market refers to the struggle to create a new market, or to erect a new standard, and it is usually associated with the process of innovation that brings new displacing technologies to market. Competition in a market is the conventional view of competition, and concentrates on the actions of incumbents and imitative entrants in well-established markets. The paper reviews some of the issues that competition for markets raises for anti-trust policy makers, and then asks whether competition for a market is a perfect substitute for competition in a market.     

Reforming the EU Emissions Trading System: An Alternative to the Market Stability Reserve

Prices for emission allowances in Europe’s Emissions Trading System (ETS) have remained low for many years. This has given rise to controversies on whether there is a need for a fundamental reform of the ETS. Potential reform proposals include the introduction of a price fl oor for certifi cates and a market stability reserve, which is a rule-based mechanism for steering the market volume of allowances and is the preferred approach of the European Commission. In this article, we instead recommend retaining the ETS and suggest correcting past mistakes by a single intervention.     

Real-Time Forecasting Revisited: Letting the Data Decide

Real-time GDP forecasting, also often known as “nowcasting,” produces estimates for current-quarter real GDP growth, typically based on a centered value from a set of estimates from incoming indicators. These real-time measures are usually intended to be data-based and to not be based on forecaster judgment or add factors. Even so, estimation methodologies in this research area—and prior versions of the system we use—typically have been constrained by using various “fixed” relationships, such as a fixed historical sample horizon and fixed empirical specifications for the indicator variables. This paper describes the methodology, estimation, and software code for a more flexible real-time GDP system that allows the data to decide the best real-time GDP forecast for varying sample horizons and varying specifications for each indicator variable through time. Our system uses data on key indicators as they become available (accounting for the “jagged-edge” nature of the data in the current quarter) to generate an estimate of current-quarter real GDP growth, with weights for combining the indicator-specific estimates as determined by the strength of the indicators’ historical relationships to GDP growth. The improved system searches across a variety of specifications and across sample horizons to choose the best specification as determined by a minimum Schwarz criterion test while also searching for the best sample horizon for minimizing the mean absolute error for a recent prediction period. We illustrate the operation of the system for real-time estimates of real GDP growth over a specific quarter, and examine the properties of the estimates and the implications for predictions. We also discuss potential additional applications and demonstrate a specific application for real-time predictions of the monthly change in payroll jobs.     

Rationales for Industrial Policy Based on Industry Maturity

This paper proposes a framework for thinking about industrial policy based on the maturity of a given industry in a country contrasted to the maturity of the industry in a global sense. Existing models for industrial policy tend to be based on the issues faced by emerging economies. By providing a coherent framework for rationales for industrial policy that spans both developed and developing economies, we can assess various industries and discuss the merits of providing support on a comparable basis. The paper provides examples of using the framework to discuss how it can be used and how it could be developed as a strategic tool for policy makers in leading economies.     

Advertising for New and Existing Brands: The Impact of Media Context and Type of Advertisement

The effects of advertisement and context type on the responses to advertisements for different brands of new and existing products were tested. In the first experiment (243 graduate students) a positive emotional advertisement and a non‐emotional advertisement for a well‐known and a new brand of printer were tested in a positive emotional context and a non‐emotional media context. In the second experiment (206 graduate students) positive emotional and non‐emotional advertisements for new brands of watches and healthy drinks were tested in an emotional and a non‐emotional context. The type of context moderated the responses to advertisements for the well‐known and new products: a positive emotional context led to a more positive attitude towards the advertisement and the brand and purchase intention for the well‐known brand than for the new brand. A non‐emotional context led to more positive responses for the new brand than for the well‐known brand. In general, emotional advertisements led to more positive affective reactions and non‐emotional advertisements led to more positive cognitive reactions. However, the type of advertisement did not have a moderating effect on the responses to advertising for the new or well‐known brands or different product types. The studies illustrated the relevance of media context for advertising new versus existing products.     

Determining the Key Factors of Customer–Brand Relationship Investment Dimensions: Insights From Malaysian Mobile Phone Users

This study aims to empirically test a scale to measure the dimensions of relationship investment. An exploratory factor analysis and reliability analysis were conducted on a sample of 150 mobile phone customers, whereas a confirmatory factor analysis was conducted on a sample of 539 customers. The results identified 2 dimensions each for customer and brand investment and validated the measurement items for each dimension. Thus, this study offers a sound scale for potential use in future studies and a useful tool for companies to use to diagnose and plan for an effective engagement strategy.     

Characteristics of a Logistics-Based Business Model

In companies where excellence in logistics is decisive for the outperformance of competitors and logistics has an outspoken role for the strategy of the firm, there is present what we refer to here as a “logistics-based business model.” Based on a multiple case study of three Nordic retail companies, the purpose of this article is to explore the characteristics of such a logistics-based business model. As such, this research helps to provide structure to logistics-based business models and identifies a way forward for companies for whom logistics and distribution are a major concern for the overall strategy of the firm.     

2008 DMEF Customer Lifetime Value Modeling (Task 2)

We describe our approach for predicting individual donor's total gift amount over a two-year target period. We divide the donors into 8 segments; for each segment, we fit a logit model for predicting the probability of giving, and a log-linear model for predicting the amount of gifts conditional on a donor giving. We found that recency, frequency, and first gift amount are good predictors of the probability of giving, while time-weighted total gift amount in the past years is a good predictor for future gift amount.     

Discovering and Evaluating Collaboration Engineering Opportunities: An Interview Protocol Based on the Value Frequency Model

Collaboration Engineering (CE) is an approach to designing collaborative work practices for high-value recurring tasks and transferring those designs to practitioners to execute for themselves without the ongoing intervention of professional facilitators. Because CE projects can entail considerable cost, it would be useful to have a way to predict whether a group would be likely to adopt a collaborative work practice were one developed for them. In this paper we present an interview protocol for that purpose. Using the logic of the Value Frequency Model (VFM), we derived the protocol with two layers of questions. The first layer is for discovering potential collaboration engineering opportunities; the second is for evaluating the degree to which practitioners might be willing to adopt a new work practice were one offered. We used the protocol in two field studies; one with a team of experienced collaboration engineers working in the headquarters of a large multi-national organization, and one with a group of students with no CE experience working with a variety of for-profit and non-profit organizations in their community. The qualitative and quantitative outcomes of these studies suggest that the interview protocol may be a useful means for discovering and evaluating CE opportunities. Outcomes also provide support for VFM, the theory from which the protocol was derived.     

From Social Pacts to Productivity Boards

Market solutions can be a way for small deregulated states like the Baltics to grow, but they are not a viable path for the EMU area as a whole or for the larger countries like France, Germany or Italy. As most of the challenges have to be addressed at the national level only, an interaction of flexible institutions (as the social pacts were) in coordination with developing European institutions (like a European unemployment scheme) can offer a more stable environment for growth.     

Decision making and decision aiding: Defining the process,it representations,and support

We present a formalized account of decision making as a multistep process that involves several classes of participating entities. The purpose of this article is to lay the foundations for a conceptual framework in which decision support systems can be placed. A series of increasingly formal representations of the decision problem are developed, from a mental model conceived by the decision maker to a knowledge base that may be used in a decision support system. The reformulations of the decision problem lead us to contemplate different forms of support: for mental models, for formal models (this includes supporting measurement and representation), for solution, and for communication.     

Advertising weak and strong brands: Who gains?

The authors present an empirical study that compares advertising for a weak brand and advertising for a strong brand. The results indicate that brand attitude and purchase intention for the weak brand are higher when subjects cannot recall the ad. The opposite is found for the strong brand. Comparisons between single‐brand ads and a joint ad reveal that ad‐evoked brand recall increases for the weak brand in the joint ad and decreases for the strong brand. Furthermore, brand attitude and purchase intention are lower in the joint ad for the weak brand and higher for the strong brand. The study adds new insights to the literature on brand exposure without recall and the literature on joint advertising. © 2005 Wiley Periodicals, Inc.     

Exchange Market for Complex Goods: Theory and Experiments

The modern economy includes a variety of markets, and the Internet has opened opportunities for efficient on-line trading. Researchers have developed algorithms for various auctions, which have become a popular means of on-line sales. They have also designed algorithms for exchange markets, which support fast-paced trading of standardized goods. On the other hand, they have done little work on exchanges for complex nonstandard goods, such as used cars. We propose a formal model for trading complex goods, and present an exchange system that allows traders to describe desirable purchases and sales by multiple attributes; for example, a car buyer can specify a model, options, color, and other properties of a desirable vehicle. Furthermore, a trader can enter complex constraints on the acceptable items; for instance, a buyer can specify a set of desirable vehicles and their features. The system supports markets with up to 260,000 orders, and generates hundreds of trades per second.     

A SUPPLY CHAIN MANAGER SELECTION METHODOLOGY: EMPIRICAL TEST AND SUGGESTED APPLICATION

With the expanding global economy, no managerial position requires a broader set of skills than that of the supply chain manager. Understanding the complexities of filling this vital managerial position, recent conceptual research has called for the development of a tool designed to identify the top candidates for supply chain positions. This research presents a full test of a three hurdle methodology for supply chain manager selection. Empirical results reported here suggest that managers must possess superior general mental aptitude, need for achievement, and adaptability for firms to maximize performance.     

Harmonization of product information for child-care products

Abstract

This paper gives an overview of the prenormative research that has been conducted to achieve harmonization of product information for child-care products. This research supports the work of a project group of the European Committee for Standardization (CEN/TC 252/WG 6/PG 5). The project group is preparing a chapter on product information requirements for a CEN report on the safety of children's products. In the first study, the product information currently provided with child-care products was studied. In the second study, the following was drawn up: two lists of requirements, one for the legibility and one for the understandability of product information, a warning grammar, and a basic set of explicit warnings against the most frequent and severe hazards. In the third study, the effectiveness of explicit warnings for child-care products was investigated. The results of this study indicate that people perceive products with explicit warnings as more hazardous and the possible injuries in case of an accident as more severe. In a fourth study, warning symbols were designed for a number of warnings of the basic set. Future research will focus on testing the combination of warnings and symbols for child-care products for com-prehensibility in a number of European countries.     

The Choice of Exchange Rate Regime and the Volatility of Exchange Rates after the Asian Crisis: A Counterfactual Analysis

The objective of this paper is to carry out a counterfactual analysis of the impact of alternative exchange rate regimes on the volatility of the nominal effective exchange rate (NEER) and the bilateral rate against the US dollar for nine East Asian countries after the Asian financial crisis. Our hypothetical regimes include a unilateral basket peg (UBP), a common basket peg (CBP) and a hard peg against the dollar. We find that a UBP would minimise effective exchange rate volatility for all countries and provides the highest regime gains compared to actual. Although the gains for a CBP are always less than those for a UBP, the absolute differences between the two regimes appear to be small. In terms of the bilateral relationship against the dollar, the gains from a UBP or CBP could be quite significant for the non‐dollar peggers since a fall in effective instability would be accompanied by a fall in bilateral instability.     

汽车市场“以旧换新”大补贴

<正>在国家对燃油税进行改革的时候,你有买车、换车的冲动吗?那么宣布购置税减半政策的时候呢?如果再来一项汽车报废补贴政策呢?     

The moderating roles of shopper experience and store type on the relationship between perceived merchandise value and willingness to pay a higher price

In the retail domain, we consider the moderating influence of shopper experience (high versus low experience) and store type (high- versus low-priced stores) on a model that identifies three distinct routes (economic, affective and informational) from perceived merchandise value to willingness to pay a higher price. Each route accounts for a different outcome arising from merchandise value and leading to willingness to pay a higher price. Analyses of data obtained from a sample of 600 shoppers at four grocery stores provide results for specific hypotheses related to each moderator and each distinct route. The results of multiple sample analyses show that the economic route is stronger for high experience shoppers as well as for high-priced stores. Findings pertaining to hypotheses for moderation of both the affective and informational routes are mixed. We discuss the importance of these findings for retail managers as well as for future research.     

Consumer Willingness-to-Pay for Food Safety in Taiwan: A Binary-Ordinal Probit Model of Analysis

A probit model for whether or not consumers are willing to pay a premium for hydroponically grown vegetables (HGV) is estimated jointly with an ordered probit model analyzing the magnitude of such premiums for consumers who would pay them. Results of the joint estimation and the conventional single equation ordered probit model were presented for comparison. Unlike the single equation approach, the joint estimation allows the flexibility of parameterizing separately the probability and level of premiums that a consumer is willing to pay for a safer food. The results show that family health status and household income are the most important and significant factors that determine the amount of premium a consumer is willing to pay for HGV. However, they are insignificant in predicting the likelihood of a consumer's willingness-to-pay a higher price. In addition, marginal probabilities were calculated to assess the influence of various socioeconomic and attitudinal variables on the likelihood that a consumer would be willing to pay a premium for HGV and the additional amount of premiums.