Firm growth patterns: Examining the associations with firm size and internationalization

Understanding the growth patterns of an industry is essential for establishing sustainable growth strategies. However, until recently little had been known about restaurant firm growth patterns. Thus, this study examined the growth patterns of restaurant firms in association with firm size class and internationalization, after controlling for total and long-term debt leverage, retained earnings, and growth opportunity. Overall, the results of this study showed that small restaurant firms grow faster than large restaurant firms but the growth rate decreases as firm size increases. Furthermore, the growth rate of large firms decreased more slowly than small firms. In terms of internationalization, this study found that as firm size increases, the growth rate of small international firms decreases more rapidly than that of small domestic firms. However, the growth rate of large international firms decreases more slowly than that of large domestic firms. These findings indicate the appropriateness of internationalization strategies for large restaurant firms but the inappropriateness of these strategies for small firms. More detailed results and discussion are also provided.     

Nonlinearity,nonstationarity, and thick tails: How they interact to generate persistence in memory

We consider nonlinear functions of random walks driven by thick-tailed innovations. Nonlinearity, nonstationarity, and thick tails interact to generate a spectrum of autocorrelation patterns consistent with the observed persistence in memory of many economic and financial time series. Depending upon the type of transformation considered and whether it is observed with noise, the autocorrelations are given by unity, random constants, or hyperbolically decaying deterministic functions, possibly with some independent noise, and thus may decay slowly or even not at all. Along with other sample characteristics, such patterns suggest that these three ingredients may generate the ubiquitous evidence for long memory.     

Stationarity-based specification tests for diffusions when the process is nonstationary

We analyze in this paper the asymptotic behavior of the specification test of Aït-Sahalia (1996) for the stationary density of a diffusion process, but when the diffusion is not stationary. We consider integrated and explosive processes, as well as nearly integrated ones in the spirit of the local to unity analysis in classical unit root theory. We find that the behavior of the test predicted by the asymptotic distribution under an integrated process provides a better approximation to the small sample distribution of the test than that predicted by the asymptotic distribution under strict stationarity.     

Confidence intervals for the quantile of treatment effects in randomized experiments

In this paper, we explore partial identification and inference for the quantile of treatment effects for randomized experiments. First, we propose nonparametric estimators of sharp bounds on the quantile of treatment effects and establish their asymptotic properties under general conditions. Second, we construct confidence intervals for the bounds and the true quantile by using the approach in Chernozhukov et al. (2009). Third, under additional conditions, we develop a new approach to construct confidence intervals for the bounds and the true quantile and refer to it as the order statistic approach. A simulation study is conducted to investigate the finite sample performance of both approaches.     

Political geography and stock returns: The value and risk implications of proximity to political power

We show that political geography has a pervasive effect on the cross-section of stock returns. We collect election results over a 40-year period and use a political alignment index (PAI) of each state's leading politicians with the ruling (presidential) party to proxy for local firms’ proximity to political power. Firms whose headquarters are located in high PAI states outperform those located in low PAI states, both in terms of raw returns, and on a risk-adjusted basis. Overall, although we cannot rule out indirect political connectedness advantages as an explanation of the PAI effect, our results are consistent with the notion that proximity to political power has stock return implications because it reflects firms’ exposure to policy risk.     

The investigation on dimensions of e-satisfaction for online shoes retailing

Purpose—Online retailing has become a standard component in companies' multi-channel structure. This trend also involves an increasing number of experience attribute dominated products, which traditionally rely on brick-and-mortar retailers. These manufacturers have started to open their own online retail stores. This study identifies the key determinants of e-satisfaction at different stages of shoes online shopping process.Design/methodology/approach—We collect consumers' reviews about their online shopping experiences from online review websites. We use both qualitative and quantitative approaches to analyze the dataset, and investigate the complete process of consumers' e-tailing experiences.Findings—this research identifies the two key factors driving e-satisfaction of purchasing experience attribute dominated products online: product selection and customer service. In particular, our findings show that product selection is critical for e-satisfaction in the pre-purchase stage, and that customer service is more important in the post-purchase stage. Lastly, the study finds that manufacturers' websites often receive more negative reviews because of their poor service recovery strategies in the post-purchase period.Research limitations/implications—This study emphasizes the importance of adopting a dynamic approach by considering various stages of the consumer's online shopping experience. This study focuses on one specific experience good; the shoe industry.Practical implications—The results of this study are invaluable to firms interested in providing experience attribute dominated products online. Our findings indicate that product selection and especially post-purchase service are critical for a successful e-tailing.Originality/value—This paper emphasizes the importance of taking a dynamic view to investigate consumer's e-tailing experience. We adopt both qualitative and quantitative approaches in our study.     

Effects of cognitive resource availability on consumer decisions involving counterfeit products: The role of perceived justification

In four experiments, participants made a purchase decision about a counterfeit product under either constrained or unconstrained cognitive resource conditions. Participants were less likely to purchase the counterfeit when their cognitive resources were constrained than when they were not. However, this difference was evident only when individuals had strong (vs. weak) moral beliefs, or when they had low (vs. high) accountability for their decisions. These and other results suggest that the effect of cognitive resource availability on counterfeit purchase was mediated by participants’ perceptions of justification about the purchase.     

Effects of a regulatory match in sunk-cost effects: A mediating role of anticipated regret

People are more likely to invest their money, time, and efforts to attain a desired outcome if they have already devoted resources to its attainment than if they did not. This ??sunk cost effect?? is robust and has been demonstrated in a wide range of settings. Four experiments in the present research show that the effect is significantly smaller under regulatory mismatch, i.e., when there is a mismatch between the decision makers?? regulatory focus and the characteristics of the desired outcome, than under regulatory match. This difference is not attributable to the operation of value-from-fit but mediated by differences in future regret that people anticipate experiencing when they fail to devote additional resources to the attainment of the outcome, and consequently fail to realize it.     

The changing pattern of SME's innovativeness through business model globalization

Globalization has forced small and medium enterprises to change business models with new innovative capabilities. However, it is not clear what those old and new business models are let alone capabilities. Challenging this, we suggest a way of identifying principal types of those business models, and of finding evolving paths of SME's business models with the changing pattern of innovativeness. Based on a survey result of 400 Korean SMEs, four principal types of business models are identified and characterized by distinctive innovativeness. Also, through interviews and additional surveys on 30 globalized SMEs, the four evolving paths of SME's BMs are explored. For small and medium enterprises, our research can be used not only as a strategic reference, but also as a policy tool to design government-funded supporting programs.