Korea's liberalization policy directives and Korea's weakening competitiveness

Recently, Korea's export growth rate is decreasing and its trade level staggering. Since Korea has few natural resources and is highly dependent on trade, this recent trend signals a serious problem lying ahead. In this paper, we look at internal and external factors weakening Korea's competitiveness in the world market and suggest liberalization policy guidelines to improve its competitiveness.     

The signalling process in initial public offerings

This study uses a sample of Singapore IPOs to examine the signalling process at the time of a new issue of shares. The multiple regression analysis results support three testable implications of the Grinblatt and Hwang model. We show that (1) the value of the firm is positively related to the fractional holding of the issuer, (2) the degree of underpricing is an increasing function of the variance, and (3) firm value is positively related to the degree of underpricing.     

Small and Medium‐Sized Enterprises' Collaborative Buyer–Supplier Relationships: Boundary Spanning Individual Perspectives

Boundary‐spanning individuals (BSIs) play a critical role in supply chain management, especially in small and medium‐sized enterprises (SMEs) where interactions with buyers and suppliers can depend heavily on just a few individuals. This study, utilizing data from Korean manufacturing‐sector SMEs, explores whether cooperative social value orientations of SMEs' BSIs influence the effects of collaborative buyer‐supplier initiatives. The results suggested that the performance implication of decision‐sharing initiative increases when BSIs have a high level of cooperative social value orientation. However, it also negatively moderates the relationship between risk/benefit sharing (involving financial losses or gains) and performance suggesting possible negative side effects. However, we found that such orientation also negatively moderates the relationship between risk/benefit sharing (involving direct financial losses or gains) and relationship performance suggesting possible negative side effects.     

Determinants of the Performance of Investment Promotion Agencies: Evidence from a Mix of Emerging Economies

This article argues whether and how investment promotion agencies (IPAs) efficiently influence investment promotion in the cases of the following selected variables: resources (experience, total staff, and overseas staff), service functions (combined promotion service of inward investment and trade, and inward and outward investment), and organizational structure (autonomous status of private/upper ministry-level IPAs). The results reveal a positive relationship between IPA’s performance and longer experience, larger staff, larger overseas IPA staff members, autonomous private agency types, and upper ministry-level IPAs. However, an IPA’s performance was negatively associated with the combined promotional service of inward investment and trade, and inward and outward investment. The results suggest that an IPA’s performance can be enhanced by adjusting the service functions and restructuring the governance and structure in addition to improving the IPA’s resources and the country’s investment climate.     

What Do Deviations from Covered Interest Parity and Higher FX Hedging Costs Mean for Asia?

Open Economies Review - Asian countries have high demand for US dollars and are sensitive to US dollar funding costs. An important, but often overlooked, component of these costs is the basis...     

Intrapreneurship model in the software industry

Quality & Quantity - The complexity of business dynamics demands that companies search for alternative ways to ensure their growth and survival. Thus intrapreneurship emerges as an ad-hoc...     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.