Dress for success: the effect of exhibitors’ dress conformity and self-construal on attendees’ approach behavior

ABSTRACT

The purpose of the current study is to investigate how attendees’ approach behavior is influenced by exhibitors’ dress conformity. A 2 × 2 between-subjects quasi-experimental design was utilized for this study. Our results showed that conforming dress for exhibitors can lead to a higher level of approach behavior of trade show attendees as compared with nonconforming dress, and the effect of exhibitors’ dress styles on approach behavior is moderated by attendees’ self-construal. Findings of this study provide significant insights for trade show exhibitors and attendees.     

Social entrepreneurship as an essentially contested concept: Opening a new avenue for systematic future research

Social entrepreneurship has emerged as an active area of practice and research within the last three decades. Nevertheless, in spite of its growing popularity, scholars and practitioners are far from reaching a consensus as to what social entrepreneurship actually means. This has resulted in a number of different definitions and approaches within the field of social entrepreneurship. The purpose of this article is to shed light on the ongoing contestation of social entrepreneurship and to offer a novel conceptual understanding of the concept that can facilitate the development of systematic and structured future research. To this end, we analyze social entrepreneurship on the basis of the theory of essentially contested concepts, which was proposed by Walter Bryce Gallie in 1956. Building upon this theory, this article shows that social entrepreneurship can be regarded as an essentially contested concept and that a universal definition that would be accepted among contestant parties is hardly possible. Responding to this recognition, the article proposes the conceptualization of social entrepreneurship as a cluster concept, which can serve as a conceptual tool to help advancing social entrepreneurship as a coherent field of research despite its contested nature.     

Game theoretic derivations of competitive strategies in conjoint analysis

While conjoint analysis has been applied in a wide variety of different contexts in Marketing, most applications fail to explicitly consider retaliatory reactions from competitors. In this paper, a methodological extension is developed for conjoint analysis by explicitly modeling competition in a game theoretic context. The Nash equilibrium concept is employed to model competitive reactions to produce design, and its implications for reactive product strategies are discussed. The optimal product design problem for each firm is formulated as a nonlinear integer programming problem, which is solved via a specialized branch and bound method combined with a heuristic. In order to compute a Nash equilibrium, a sequential iterative procedure is proposed. The proposed procedure is illustrated under several scenarios of competition using previously published conjoint data.This research has been supported by the Henry Rutgers Research Fellowship, Rutgers University.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance

A growing number of studies and evidence from industries suggest that, besides managing the relationship with its suppliers, a buyer needs to proactively manage the relationships between those suppliers. In a buyer–supplier–supplier relationship triad, the buyer, as the contracting entity, influences the suppliers’ behaviors and the relationship between them. By considering the relationships in such a triad, we are able to gain a richer and more realistic perspective of buyer–supplier relationships. In this study, our goal is to examine supplier–supplier relationships in buyer–supplier–supplier triads, focusing on how such relationships impact the supplier performance. We frame the supplier–supplier relationship as co-opetition—one in which competing suppliers work together to meet the buyer's requirements. We investigate the role of the buyer on such relationships, and how the buyer and co-opetitive supplier–supplier relationships affect supplier performance. We find mixed empirical support for our hypotheses. However, we are able to demonstrate the dynamics of supplier–supplier co-opetition in the buyer–supplier–supplier triad. We point out the need for further studies in this area.     

Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment*

The within‐group estimator (same as the least squares dummy variable estimator) of the dominant root in dynamic panel regression is known to be biased downwards. This article studies recursive mean adjustment (RMA) as a strategy to reduce this bias for AR(p) processes that may exhibit cross‐sectional dependence. Asymptotic properties for N,T→∞ jointly are developed. When ( log ²T)(N/T)→ζ, where ζ is a non‐zero constant, the estimator exhibits nearly negligible inconsistency. Simulation experiments demonstrate that the RMA estimator performs well in terms of reducing bias, variance and mean square error both when error terms are cross‐sectionally independent and when they are not. RMA dominates comparable estimators when T is small and/or when the underlying process is persistent.     

Hyperbolic Discounting and Consumer Patience: The Case of Korea

ABSTRACT

In this article, we test whether the consumption pattern in Korea exhibits a time-inconsistent discounting behavior compared to the conventional exponential discounting. We derive the quasi-hyperbolic Euler equation and estimate it using the generalized method of moments (GMM). The estimation results show that Korean consumers exhibit a time-inconsistent quasi-hyperbolic discounting behavior in general, but the pattern of inconsistency in consumption behavior, in particular the degree of impatience, depends on the estimation period, in particular whether it includes financial crisis periods in 1997–98 and 2008–11.     

The Ethics of Counterfeiting in the Fashion Industry: Quality,Credence and Profit Issues

One of the greatest problems facing luxury goods firms in a globalizing market is that of counterfeiting. The purpose of this paper is to analyze the different types of counterfeiting that take place in thefashion industry and the ethical issues raised. We argue that the problem partly lies in the industry itself. Copying of designs is endemic and condoned, which raises several ethical dilemmas in passing judgment on the practice of counterfeiting. We analyze the ethical issues in a number of different types of counterfeiting encountered in the fashion industry. We conclude with some observations on the general implications for ethics in intellectual property rights.     

Exploring globalization and marketing performance at the 2012 Global Marketing Conference at Seoul

This special issue of the Journal of Business Research features sixteen articles selected from papers presented during the third Global Marketing Conference held in Seoul, July 19–22, 2012, hosted by Korean Scholars of Marketing Science, European Marketing Academy, Japan Society of Marketing and Distribution, International Textile and Apparel Association, and Australian and New Zealand Marketing Academy. The articles offer readers an interesting mix of topics and methods in complex and global marketing environments. They offer marketing practitioners new ideas and approaches for dealing effectively with the increasingly challenging marketing world and provide marketing researchers insights that may inspire future research.     

Analysts' Forecasts Following Forced CEO Changes

This paper examines analysts' earnings forecasts during the period of uncertainty following a change of chief executive officer (CEO). It distinguishes between forced and non‐forced CEO changes, and examines whether analysts utilize their information advantage to reduce the heightened uncertainty of a forced change of CEO. Examining a sample of Australian companies followed by analysts between 1999 and 2009, we find that forecasting accuracy is lower and earnings forecasts are more optimistic for firms experiencing forced CEO turnover compared to firms not undergoing such a change. However, dispersion is not statistically different. The results suggest that forced CEO turnover events provide a challenge to the forecasting environment for analysts. During CEO changes, investors should be aware that forecasts are less accurate and have an optimistic bias.