Sources of Fluctuations in the Real Exchange Rates and Trade Balances of the G‐7: A Sign Restriction VAR Approach

This paper estimates structural vector autoregression models of output, the real exchange rate and trade balance for the group of seven leading advanced economies (G‐7). Unlike previous studies, we do not impose long‐run purchasing power parity as an identifying assumption; instead, the shocks underlying the model are structurally identified using a set of theory‐consistent sign restrictions. Empirical results show that nominal shocks account for most of the long‐run variability in trade balances across the G‐7 countries. We are able to attribute this finding to long‐run movements in the real exchange rate, as the real exchange rate is significantly affected by nominal shocks in the long run.     

The past,present, and future of brand research

Marketing Letters - This article discusses the past, present, and future of brand research. We begin by reviewing three historical eras of branding development in the past: the information,...     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.     

Do External Knowledge Sourcing Modes Matter for Service Innovation? Empirical Evidence from South Korean Service Firms

To source external knowledge, firms in the service area use various sourcing modes simultaneously suitable for their internal needs or external environments. Each external knowledge sourcing mode has distinctive characteristics, and as such, they can offer different advantages and/or disadvantages to the firms. Thus, the effects of external knowledge sourcing on service innovation may vary depending on the sourcing modes. The current study aims to empirically examine the different effects of various external knowledge sourcing modes on service innovation. The study identifies three external knowledge sourcing modes: joint development, technology purchasing, and external information acquisition. Three hypotheses are established to examine the relationships between the extent of utilizing each mode and service innovation performance in terms of new service introduction. The data for analysis are selected from the “Korean Innovation Survey 2006: Service Sector” (KIS 2006). It is regarded as South Korea's version of the Community Innovation Survey (CIS). The KIS 2006 data set covers joint development, technology purchasing, and external information acquisition activities of corporations in the service sector in South Korea. The study empirically analyzes the data set using a negative binomial regression model. The results first demonstrate that the extent of the joint development has an inverted U‐shaped relationship with the service innovation performance. Second, the results indicate that, on the other hand, service innovation performance decreases with the increase to the extent of the technology purchasing when the extent is below the threshold. On the other hand, it increases with the increase to the extent of the technology purchasing; this occurs when the extent exceeds the threshold. Third, the results show that external information acquisition has a positive effect on service innovation performance. These findings support that the extent of utilizing each mode has different relationships with service innovation performance. The findings suggest that service firms need to utilize joint development at a moderate level, active technology purchasing, and as much external information acquisition as possible to maximize service innovation performance. In practice, this finding can help managers of service firms select appropriate external knowledge sourcing modes and determine the optimum level of use for each mode. This study also can help firms build up strategies for external knowledge sourcing.     

Activation and variation of the United Nation’s cluster coordination model: a comparative analysis of the Haiti and Japan disasters

The coordinated response to extreme events is critical as illustrated by recent disasters in Haiti and Japan. As a way for coordinated provision of international humanitarian assistance to disaster-hit countries, the Office for the Coordination of Humanitarian Affairs (OCHA) developed cluster coordination model (CCM). With content analysis and network analysis of OCHA situation reports, this study checked four premises regarding activation of CCM, interaction between national and international actors, roles of proximity country, and level of cluster coordination. This study found that there were meaningful variations in implementing the CCM for 2010 Haiti and 2011 Japan disasters. From the analyses, we found that the current CCM may be vulnerable to black swan disasters; thus, extensive and active estimation of national disaster management capacities should be conducted to prevent collapse of national disaster management system. However, the reconciliation of state sovereignty and international humanitarian assistance also should be considered.     

Dimensions of strategic intervention for risk reduction and mitigation: a case study of the MV Sewol incident

Organizations in disaster management system should learn from previous experience and strategically use their lesson for the refinement of a system’s competencies for risk management. However, the MV Sewol incident revealed the absence of the organizational learning in the Korean disaster management system. With mixed methods of content analysis, in-depth interview, and social network analysis, this study identified key failure factors in response to the incident and categorized them by managerial, structural, and institutional domains. While the Korean government took bold steps to rebuild its risk management system, those efforts were biased to structural reforms and lacked fundamental changes in human and informational resources management. Based on the findings, this study suggests the balanced efforts for system refinement for effective risk management.     

钢锥斗仓的设计

本文以某工程钢锥斗仓的设计为例,详细阐述钢锥斗仓仓壁和水平加劲肋的内力、变形计算,并验算仓壁和加劲肋的强度和刚度。     

Global Liquidity and Commodity Prices

While monetary easing and increasing participation of financial institutions in commodity trading have enhanced the financialization of commodity markets, this paper investigates empirically whether the impact of global liquidity on commodity prices has grown since the crisis. For each commodity group, this paper uses a structural vector autoregression (SVAR) model to address the short‐run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity on commodity prices becomes more salient since the global financial crisis. This paper also suggests a price‐based liquidity indicator has a greater explanatory power for the commodity price dynamics than monetary aggregates.