The adolescence of Asia management research: <Emphasis Type="Italic">APJM</Emphasis>, 1997–2006

In this article we reflect on the adolescent years of Asia management research published in the Asia Pacific Journal of Management (APJM) by reviewing work published in the past 10 years (1997–2006). We report that during the last decade, APJM has published 223 research articles, written by 373 different authors, who are affiliated with 203 different institutions. Our discussion of the future of Asia management research is guided by Kuhn’s (Kuhn, T. S. The structure of scientific revolutions. Chicago: University of Chicago Press, 1962) perspective on the nonlinear progression of science. We argue that as a growing community, Asia management research is finding its “identity” and establishing its presence in the larger worldwide management research community. Following our analysis, we conclude that the growth of Asia management research—as captured by APJM publications—throughout its “adolescent” years has set forth a challenging and exciting path for the future. All authors contributed equally. We thank Mike Peng (Editor-in-Chief) for his encouragement and advice. This work was completed when Yu-Shan Su was a Fulbright visiting scholar at the University of Texas at Dallas (UTD). She thanks the Fulbright Association and the Taiwanese Ministry of Education for partially funding this work.

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The Valuation Impact on Distressed Residential Transactions: Anatomy of a Housing Price Bubble

Most previous empirical studies on foreclosure price discounts are based on data from housing-markets during periods of relative stability (Baton Rouge, Louisiana; Arlington, Texas; and Las Vegas, Nevada in 1980s and 1990s). The few studies with sample periods containing the Liquidity Crisis of 2008 were all focused on the Las Vegas market and even fewer studies have examined the pricing implications of short sale transactions. This study examines the discounts associated with foreclosure and short sale status in the Fresno, California from 2006 to 2010, a time period containing significant housing price volatility. Generally, we find approximately 20 % and 13 % discounts for foreclosure transactions and short sale transactions, respectively. These discounts remain consistent even after controlling for endogeneity of time-on-the-market and self-selection bias. We also document that both the foreclosure and short-sale discounts are time varying based on market conditions. Both foreclosure and short-sale discounts increase from 2008 to 2009 and decrease in 2010. Also, the foreclosure status decreases time on the market while the short-sale status increases time on the market.     

Abandon Hofstede-based research? Not yet! A perspective from the philosophy of the social sciences

Hofstede’s framework has been immensely popular among practitioners and researchers because of its undeniable practicality. Despite several limitations, the framework has been widely adopted and in continued use. However, recent scholarly critiques have raised serious concerns, even calling for the rejection of the future use of the framework. A deeper analysis is necessary to understand the fundamental considerations in knowledge creation before contemplating an abandonment of a long research tradition. This article systematically examines Hofstede’s framework from a philosophy of science perspective by examining its ontological and epistemological considerations, and related issues, and presents important implications for researchers and managers.     

Robust estimation and inflation forecasting

This paper considers various models emerging from the Fisher effect and/or the term structure of interest rates for inflation forecasting. This paper, it is believed, makes a contribution to the literature on estimation of the models by using a procedure that is robust for non-normal errors, improving the efficiency of the estimates considerably. The Consumer Price Index series, 90 days and 180 days Australian bank-accepted bill rates, covering the sample period 1968Q1 to 1998Q4 were used in this study. Contrary to earlier findings, strong evidence was documented supporting the Fisher effect in the presence of a structural break with the break-point being at 1980Q1. The overall results suggest that the error correction model of the Fisher effect, the term structure of interest rates and short-run dynamics produce superior forecasts, in particular when the models were estimated using the robust method. These findings have important implications for economic policy analysis.     

Modeling and Forecasting the Sales of Technology Products

Managers in technology product markets require sales response models that provide substantive insights into the effects of marketing activities as well as reliable sales forecasts. Such markets are characterized by frequent introductions and withdrawals of multiple models by different companies. Thus, the data available on the performance of any individual model is scarce. A second characteristic is that the effects of product attributes and marketing activities could change over time as different types of consumers participate in the market at different points in time. Given sparse data, it becomes critical to specify a model that allows pooling of information across brand-models while at the same time providing brand-model specific parameters. We accomplish this via a hierarchical Bayesian model specification. Further, to capture the effects of changing consumer preferences over time, we specify a time varying parameter model. Our modeling framework therefore, integrates a hierarchical Bayesian model within a time varying parameter framework to develop a dynamic hierarchical Bayesian model. We employ data on digital cameras in the U.S. market to estimate the parameters of our proposed model. We use thirty-three months of national level data on the digital camera market with the data series beginning very close to the inception of this product category. We find that while there is little variation in reliance of benefits by early adopters, the second wave of adopters focus on Ease of Use followed by later adopters who rely on Storage and Image Quality. Looking at the elasticities of demand with respect to the various benefits, we find that at around the halfway point of our data series, the industry as a whole would have been better off investing in increasing image quality rather than storage if costs associated with the two are equal. However, at the end of the time horizon both benefits appear to have about equal impact. Further, the relative benefits of improving these attributes vary across brands and points in time. We then generate single period and multiple period ahead sales forecasts. We make different assumptions about information availability and find that the average (across brand-models and time) MAPE ranges from 7.5 to 14.5% for the model. We provide extensive comparisons of our model with 4 potential alternatives and find that our model outperforms these alternatives on the nature of substantive insights obtained as well as in forecasting out-of-sample especially when there is a very short time window of data.     

Trade,Job Losses and Gender: A Policy Perspective

This paper presents a gender perspective of the Trade Adjustment Assistance (TAA) program. The TAA is the primary US policy to assist the transition of workers displaced due to trade related economic restructuring. In comparison to the relatively substantial research on gendering trade policies in developing economies there is very limited focus on gendering policy responses to trade in the US. We argue that there is a specific gender trend in the trade-displacement patterns in the US which calls for a gender sensitive policy response. We examine the TAA in light of this trend and offer some suggestions for a gendered approach to providing assistance to workers negotiating an increasingly flexible global labor market.