Dynamic network design for reverse logistics operations under uncertainty

The design of reverse logistics network has attracted growing attention with the stringent pressures from environmental and social requirements. In general, decisions about reverse logistics network configurations are made on a long-term basis and factors influencing such reverse logistics network design may also vary over time. This paper proposes dynamic location and allocation models to cope with such issues. A two-stage stochastic programming model is further developed by which a deterministic model for multiperiod reverse logistics network design can be extended to account for the uncertainties. A solution approach integrating a recently proposed sampling method with a heuristic algorithm is also proposed in this research. A numerical experiment is presented to demonstrate the significance of the developed stochastic model as well as the efficiency of the proposed solution method.     

Doing Right Leads to Doing Well: When the Type of CSR and Reputation Interact to Affect Consumer Evaluations of the Firm

This study investigates the efficacy of three corporate social responsibility (CSR) initiatives—sponsorship, cause-related marketing (CRM), and philanthropy—on consumer–company identification (C–C identification) and brand attitude and, in turn, consumer citizenship behaviors. CSR reputation is proposed as the moderating variable that affects the relationship between CSR initiatives, C–C identification, and brand attitude. A conceptual model that integrates the hypothesized relationships and the moderating effect of CSR reputation is used to frame the study. Using a between-subjects factorial designed experiment, the results showed that all three CSR initiatives have a significant effect on C–C identification and brand attitude. The level of that influence, however, varied according to a firm’s CSR reputation. Managerial implications of these findings are also discussed.     

Bilateral political relations and sovereign wealth fund investment

We examine the role of bilateral political relations in sovereign wealth fund (SWF) investment decisions. Our empirical results suggest that political relations play a role in SWF decision making. Contrary to predictions based on the FDI and political relations literature, we find that relative to nations in which they do not invest, SWFs prefer to invest in nations with which they have weaker political relations. Using a two-stage Cragg model, we find that political relations are an important factor in where SWFs invest but matter less in determining how much to invest. Inconsistent with the FDI and political relations literature, these results suggest that SWFs behave differently than rational investors who maximize return while minimizing risk. Consistent with the trade and political relations literature, we find that SWF investment has a positive (negative) impact for relatively closed (open) countries. Our results suggest that SWFs use—at least partially—non-financial motives in investment decisions.     

Forest transition in South Korea: Reality, path and drivers

While forest transition (FT) in South Korea began in 1955, when forest cover was only 35% of national land area, significant increases in both forest cover and growing stock really occurred in the early 1970s. Using reconstructed historical records, we empirically demonstrate that (1) FT in South Korea was mainly accomplished by the recovery of degraded, non-stocked forest; and (2) one-dimensional FT analysis using forest area alone has severe limitations in diagnosing meaningful changes in forest sustainability. The key driver of FT in South Korea was the government-led reforestation policy. The comprehensive reforestation plans, started in 1973, not only provided economic incentives to the general public by establishing clear quantifiable goals, they also promoted inter-agency cooperation and coordination, especially between the energy and forest sectors, to replace firewood with fossil fuels. These government-led efforts, accompanied by rural-urban migration, brought an increase in stocked forest area and a complementary rising average growing stock level. The case of South Korea shows that FTs can be cultivated in a relatively short period of time by a central authority, even with imperfect governance and low economic development.     

Does information risk affect the implied cost of equity capital? An analysis of PIN and adjusted PIN

Using a unique dataset of Korean listed companies for which trade initiators are correctly identifiable, we estimate bias-free PIN (probability of informed trading) that is no longer subject to the trade misspecification problem and test whether it is related to expected returns. Unlike prior studies, we find that bias-free AdjPIN, the adjusted PIN purged of a liquidity component, is positively related to implied cost of equity. Our findings suggest that the errors in PIN variables hamper a proper identification of PIN pricing in prior studies.     

Motivations and Use Context in Mobile Tourism Shopping: Applying Contingency and Task–Technology Fit Theories

Mobile tourism shopping is an emerging market, but there is little theoretically based research on the topic. This study investigates the impact of motivations (value, enjoyment, time saving and mobility) on consumer satisfaction by applying contingency and task–technology fit theories in the mobile tourism shopping context. The results show that value and enjoyment have significant effects on satisfaction. Use context is found to have a full mediating role between time saving and satisfaction as well as between mobility and satisfaction. This study offers theoretical and practical contributions to the tourism literature and mobile tourism industry. Copyright © 2013 John Wiley & Sons, Ltd.     

Technological Progress and Youth Employment in South Korea

ABSTRACT

This paper analyzes the extent to which technology progress and youth employment are related. In doing so, we divide workers into two groups – young workers and old (prime-aged) workers - and then estimate the elasticity of substitution between (physical) capital and workers à la Jaimovich et al. (2013. “The Demand for Youth: Explaining Age Differences in the Volatility of Hours.” American Economic Review 103 (7): 3022–3044) by using the Korean labour market data between 2000 and 2014. Our findings indicate that the elasticity of substitution is greater (or at least not smaller) for young workers than for old workers.     

The contextual nature of the predictive power of statistically-based quarterly earnings models

We present new empirical evidence on the contextual nature of the predictive power of five statistically-based quarterly earnings expectation models evaluated on a holdout period spanning the twelve quarters from 2000–2002. In marked contrast to extant time-series work, the random walk with drift (RWD) model provides significantly more accurate pooled, one-step-ahead quarterly earnings predictions for a sample of high-technology firms (n = 202). In similar predictive comparisons, the Griffin-Watts (GW) ARIMA model provides significantly more accurate quarterly earnings predictions for a sample of regulated firms (n = 218). Finally, the RWD and GW ARIMA models jointly dominate the other expectation models (i.e., seasonal random walk with drift, the Brown-Rozeff (BR) and Foster (F) ARIMA models) for a default sample of firms (n = 796). We provide supplementary analyses that document the: (1) increased frequency of the number of loss quarters experienced by our sample firms in the holdout period (2000–2002) vis-à-vis the identification period (1990–1999); (2) reduced levels of earnings persistence for our sample firms relative to earnings persistence factors computed by Baginski et al. (2003) during earlier time periods (1970s–1980s); (3) relative impact on the predictive ability of the five expectation models conditioned upon the extent of analyst coverage of sample firms (i.e., no coverage, moderate coverage, and extensive coverage); and (4) sensitivity of predictive performance across subsets of regulated firms with the BR ARIMA model providing the most accurate predictions for utilities (n = 87) while the RWD model is superior for financial institutions (n = 131).

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Volatility Relationship between Crude Oil and Petroleum Products

This paper utilizes calculated historical volatility and GARCH models to compare the historical price volatility behavior of crude oil, motor gasoline and heating oil in U.S. markets since 1990. We incorporate a shift variable in the GARCH/TARCH models to capture the response of price volatility to a change in OPEC’s pricing behavior. This study has three major conclusions. First, there was an increase in volatility as a result of a structural shift to higher crude oil prices after April 1999. Second, volatility shocks from current news are not important since GARCH effects dominate ARCH effects in the variance equation. Third, persistence of volatility in all commodity markets is quite transitory, with half-lives normally being a few weeks.