An Examination of the Effect of Consumer Personal Traits on Show Rooming Behavior: The Effect of Product Type

The rapid growth of online commerce and spread of mobile devices have created various trends in product-purchasing behaviors of consumers. Especially in online-to-offline commerce, “showrooming” has increased. This involves searching for products offline but purchasing them online. Among theories of consumer buying behavior based on traditional consumer characteristics, this study empirically analyzes whether there are group-specific differences in showrooming. The results show that innovative consumption tendencies are significantly related to push, pull, and mooring factors. The findings also elucidate the role of showrooming buying behavior in these relationships. In terms of push and mooring factors, these relationships are strengthened by showrooming purchase experience. This study divides products into electronic products and apparel and analyzes the effects on purchase experience using a moderator.     

An empirical analysis of the stage model of Business-to-Business relationships in South Korea: a longitudinal study

In this study, we develop and evaluate a framework for investigating the relationship between firm performance and exit intentions—that is, when the termination of Business-to-Business (B2B) relationships involves both conflict and cooperation. This study adds to extant research by demonstrating the importance of temporal changes; the proposed framework highlights the change processes in B2B relationship exit intentions. At time point T, the results suggest that the long-term relationship stage is stable. At time point T + 1, we find that the final relationship stage is dynamic. We demonstrate that several structural-temporal relationships among the investigated links (i.e. conflict-cooperation, conflict-firm performance, and cooperation-firm performance) decrease.     

Use of two-limit probit regression model : An analysis of lender response to loan requests

Research problems where the observed dependent variable is restricted to lie within an interval with massing of some of the observations at the limiting values of the interval are frequent in business research studies. This paper analyzes one such problem—that of lender response to a business loan application. The unique features of a regression model with a doubly limited dependent variable are explained and interpreted. Parameter estimation for such models is undertaken by maximum-likelihood techniques. In this paper maximum likelihood estimates are obtained for an empirical problem and compared with ordinary least-squares estimators. Results show substantial differences between least-squares and maximum-likelihood estimates, indicating a possibility for serious errors by using least-squares methods on models with a doubly limited dependent variable.