Sources of fluctuations in hours worked for Canada,Germany, Japan and the U.S.: a sign restriction VAR approach

This study empirically examines the sources of fluctuations in hours worked in Canada, Germany, Japan and the U.S. It is particularly motivated by Galí’s (1999) VAR study, which demonstrates that a positive technology shock reduces hours worked, at least in the short run. However, in the present study, a technology shock is identified without recourse to Galí’s long-run restriction, which has been subject to active controversy. Furthermore, this study uncovers other important sources of fluctuations in hours worked to reflect the concern, raised by numerous studies, that technology shocks leave most variations in hours worked unexplained. Specifically, there are six shocks underlying our model, and they are identified using a set of sign restrictions. The empirical results confirm that in all four countries, a positive technology shock significantly reduces hours worked. This technology shock, along with labor supply and demand shocks, accounts for most of the short-term variations in hours worked. As the forecasting horizon increases, technology and demand shocks become less important, whereas labor supply shocks contribute to explaining the bulk of long-run variations in hours worked. Finally, the empirical relevance of Galí’s long-run identification restriction is tested and the results are related to those obtained using the sign restriction model.     

Online Repurchasing: The Role of Information Disclosure,Hope, and Goal Attainment

The emergence of online purchasing has changed the relationship between consumers and brands. Our research focuses on online information disclosure and consumer hope in an online shopping environment. Two studies are undertaken to test the theoretically derived hypotheses. Study 1 evaluates the causal relationship between information disclosure and hope via an experiment in an online shopping context. Study 2 involves an online survey to test the nomological network presented in this research. The models identify the moderating effect of consumer product knowledge on online information disclosure and consumer hope. For academics, this research advances knowledge of how consumers' confidence in sharing personal information develops hope, consequently enabling them to attain their goals and repeat their purchases. For practitioners, it offers a better understanding of how investments are successful in aiding consumers to attain their goals and generate repeat purchase intentions in an online shopping environment.     

Heterogeneity and netting efficiency under central clearing: A stochastic network analysis

This paper examines the effect of heterogeneity in clearing members’ exposure management practices under central clearing. Our network model specifies the dynamics of prenetted interbank exposures to shape interdependent exposure distributions beyond normality. Employing over-the-counter derivatives market data from the U.S. Office of the Comptroller of the Currency, our simulation results indicate that heterogeneity in bank-to-bank exposure dynamics is systemically desirable, while the entire system benefits more from the central clearing in more homogeneous environments. Policymakers should incentivize individual clearing members to enhance resiliency and stability in counterparty exposure management to maximize netting efficiency under central clearing.     

Out-of-stock,sold out,or unavailable? Framing a product outage in online retailing

Terms, such as “out-of-stock,” “sold out,” and “unavailable” are commonly used by retailers to communicate a product or brand outage. Although these terms are technically equivalent, prior research on product outage and product scarcity suggest that they may be interpreted and processed differently by consumers. The present research investigated whether the manner in which a product outage was framed elicited different consumer behavioral intentions, attributions, and perceptions in the context of online retailing. Data were collected by means of an online experiment. The experiment incorporated a hypothetical scenario approach in which research participants were asked to react to a particular combination of treatment and blocking factors. Results demonstrated that ceteris paribus, framing a product or brand outage as “sold out” produces fewer negative product and website reactions than does framing it as “out-of-stock” or “unavailable.”     

Financial constraints on export market exit of domestic firms versus foreign multinational corporation subsidiaries in South Korea

Using a Korean manufacturing firm-level data set covering a range of years from 2006 to 2013, this study investigates how the financial condition of firms, such as liquidity, leverage, and cash flow ratio, affects exit from export markets. It also analyses whether the financial status of foreign multinational corporation (MNC) subsidiaries differs from that of domestic firms with respect to the hazard of export market exit, especially during a global financial crisis. The empirical results confirm that, for domestic firms, the hazard of export market exit is affected by the firms’ financial condition only during a financial crisis. In other words, the financial vulnerability of domestic firms increases during the crisis, resulting in the hazard of export market exit. However, financial situations for foreign MNC subsidiaries do not affect exits from export markets, indicating a ‘finance-factor comparative advantage’.     

Leveraging ideas from user innovation communities: using text‐mining and case‐based reasoning

User innovation communities, where end users voluntarily share their ideas about new products or services, have become an important source of innovation. While efforts have been made to extract and develop ideas from these sources, existing studies have largely focused on company‐led efforts to facilitate user participation, rather than on voluntary user discussions within communities themselves. As a remedy, this research proposes to directly target those voluntary ideas from user innovation communities for product/service innovation. Because quantities of textual information within these communities are rather massive, we propose a modified and integrated approach of text‐mining (TM) and case‐based reasoning (CBR). Specifically, by constructing two casebases on ideas and existing products using TM and checking for overlap between the two using CBR, the approach enables the identification of opportunities for innovation and reference products for adaptation. We demonstrate the approach through a case of mobile apps in Apple App Store, and our findings suggest that the approach can help firms and users/developers broaden the source of ideas and leverage them into new product concepts.     

‘How do you feel about a disease?’ The effect of psychological distance towards a disease on health communication

Based on construal level theory, this research addresses the moderating role of an individual's psychological distance towards a disease in the effectiveness of advertising messages framed by two distinctive construal level terms (high-level and low-level). In Experiment 1, two different disease types (bronchitis/distant disease vs. influenza/proximal disease) were featured, with the result that an advertisement with high-level construal terms was more persuasive for a psychologically distant disease (bronchitis) than for a psychologically proximal disease (flu). The reverse was true for an ad framed with low-level construal terms. To replicate Experiment 1 and further test the hypothesis, in Experiment 2, the perceived distance individuals have towards one disease (cancer) was measured and used as independent variable. Consistent with the results from Experiment 1, the low-level construal messages were more effective under the psychologically close condition than the psychologically distant condition. Reverse was true for the high-level construal messages.     

Loyalty toward online food delivery service: the role of e-service quality and food quality

This study assesses the direct influence of food quality and e-service quality on customer loyalty toward online food delivery (OFD) service and its indirect influence through the mediation of customer satisfaction and perceived value. This study uses a survey of 405 OFD service customers from Bandung, Indonesia. By applying variance-based partial least squares to evaluate the proposed model, this study confirms the direct effect of food quality on online loyalty, but not e-service quality. Further, this study discloses the partial mediation role of customer satisfaction and perceived value on the relationship between both food quality and e-service quality on online loyalty toward OFD services.     

Does aid for trade diversify the export structure of recipient countries?

The importance of aid for trade as a tool for facilitating trade, economic growth and social development has received attention since the concept was introduced in 2005. While one of the main targets of aid for trade is export diversification, reflecting the fact that the exports of many developing countries are concentrated in a small range of items, there have not been many efforts to measure the effect of aid for trade on export structure. This study, therefore, attempts to trace the relationship between aid for trade and 133 aid recipients' export structure between 1996 and 2013. Using the Herfindahl–Hirschman Index to measure the degree of export concentration, the findings suggest that total aid for trade has reduced the concentration level in the short run. In the long run, on the other hand, aid for trade has had no significant effect on export structure of recipient countries. Only aid for building productive capacity, which is one of the three categories of aid for trade, contributes to lower concentration. Yet, this change is not caused by an increase in export diversity but by the redistribution of shares of existing products of a similar sophistication level.     

Can Pokémon GO catch brands? The fit effect of game characters and brands on efficacy of brand communications

Given the recent popularity of augmented reality (AR) games, such as Pokémon GO, this study explores the congruence effect of game characters and brands on brand evaluations and the underlying mechanisms of the effect. Prior gaming experience and motivations are taken into account. An experiment reveals that inexperienced gamers are likely to have more favorable evaluations of the target brands when the images of game characters match the brand images, whereas these effects disappear for experienced gamers. Furthermore, the research demonstrates that experienced gamers are more likely to hold game-specific motivations than the inexperienced, while inexperienced gamers are motivated more by social interaction for playing AR games. Lastly, a mediation analysis reveals that social interaction-related motivation mediates inexperienced gamers’ preference of character–brand congruence. This study sheds light upon how AR games can be utilized by brand communicators.