Time Orientation in Languages and Tax Avoidance

Journal of Business Ethics - Studies suggest that when a language requires grammatical marking of future events, speakers prefer immediate payoffs and engage in less future-oriented behavior. If...     

Theory of Virtue Ethics: Do Consumers’ Good Traits Predict Their Socially Responsible Consumption?

Drawing upon the theory of virtue ethics, this study builds a decision tree predictive model to explore the anticipated impact of good traits (i.e., virtuous and personality traits) on socially responsible consumption. Using R statistical software, we generate a classification tree and cross-validate the model on two independent datasets. The results indicate that the virtuous traits of self-efficacy, courage, and self-control, as well as the personality traits of openness and conscientiousness, predict socially responsible purchase and disposal behavior. Remarkably, the largest segment of socially responsible consumers in the study (41 %) scored high in self-efficacy and openness. This result suggests that marketers should focus on these good traits when creating advertisements to encourage sustainable consumption. Our study contributes to enhancing knowledge about the social and psychological aspects of the sustainability movement and provides a new analytical approach to predicting socially responsible consumption.     

Social support timing and persistence in nascent entrepreneurship: exploring when instrumental and emotional support is most effective

This paper investigates how the timing of social support, both emotional and instrumental support, affects entrepreneurial persistence of nascent entrepreneurs. Drawing on social support theory, we hypothesize that the effectiveness of support depends on when, during the venture development process (number of gestation activities completed), it is provided. We also propose that the impact of social support depends on when during the entrepreneur’s life stage (age) that support is made available. Testing our hypotheses using a longitudinal dataset of nascent entrepreneurs, we find that emotional support is most relevant earlier on during venture development, while instrumental support is most relevant for entrepreneurs who begin their businesses in earlier life stages.     

The Effect Of Advertising Content Control On Advertising Effectiveness In The Different Forced Exposure Circumstance

With advances in new technology, various formats of online advertising (e.g., in-stream video advertising) often force e-consumers to watch the advertisement during their goal-oriented activities, and this advertising interruption often makes them feel intruded upon and irritated. To reduce such negative reactions toward involuntary advertising exposures, this study examines whether offering e-consumers the option to choose advertising content can influence ad effectiveness in different degrees of forced exposure circumstance. Using a 2 (advertising content control: customization option vs. no option) × 2 (level of forced exposure: pre-rolls vs. rich media banners) factorial experiment, the researcher noted that advertising customization features generate a greater sense of relevance and increased advertising memory, which in turn may lead to more positive attitudes toward the ad regardless of the levels of forced exposure. The findings have theoretical and practical implications on the use of involuntary advertising interruptions in the web interface.     

Spatial movement patterns among intra-destinations using social network analysis

To explore popularly visited tourist locations, travel movement patterns, and movement points, this study collected samples of 321 Chinese tourists and 337 Japanese tourists who were visiting major tourist destinations in Seoul and its vicinity in South Korea. Results of analyzing movement patterns showed that Japanese tourists tend to be clustered around popular attractions, whereas Chinese tourists tend to spread over a larger area of attractions. Some specific shopping and amusement attractions were the locations most popularly visited by both groups. The start points and end points in the two groups’ itineraries were dissimilar overall, even though their patterns were similar in regard to major preferred tourist attractions. Thus, the findings of this study have the potential to contribute to understanding spatial mobility in a tourism destination through tracking tourists’ movement patterns.     

Gamification of Labor and the Charge of Exploitation

Recently, business organizations have increasingly turned to a novel form of non-monetary incentives—that is, “gamification,” which refers to a motivation technique using video game elements, such as digital points, badges, and friendly competition in non-game contexts like workplaces. The introduction of gamification to the context of human resource management has immediately become embroiled in serious moral debates. Most notable is the accusation that using gamification as a motivation tool, employers exploit workers. This article offers an in-depth analysis of the moral charge of exploitation. This article maintains that there are no clear grounds for believing that gamification of labor is exploitative and that if gamification of labor involves a wrong or vice, it must be something other than exploitation.     

Macroeconomic shocks and stock market returns: the case of Korea

This study examines the effects of macroeconomic shocks on key macro variables, including stock market returns in Korea, using the structural vector autoregression (SVAR) model. We suggest a three-variable SVAR model incorporating inflation, output growth and stock returns. We adopt a nonzero z-ratio restriction for the long-run identifying assumption to allow for economically meaningful relationships among variables. While our results support the negative (positive) relation of demand (supply) shocks to stock returns, we also find that demand shocks influence stock market variance more significantly than supply shocks do. The sub-period analysis finds that global market fluctuations during the global financial crisis have relatively little effect on Korean stock market performance. We also examine a generalized five-variable model that includes the foreign exchange rate and interest rate, confirming the results from the three-variable case.     

Do hedge funds time market tail risk? Evidence from option-implied tail risk

This paper focuses on an unexplored dimension of fund managers’ timing ability: Market-wide tail risk implied by information in options markets. Constructing the option-implied tail risk, we investigate whether hedge fund managers can strategically time the tail risk through adjusting their exposure to changes of it. Using an extensive sample of equity-oriented hedge funds, we find strong evidence of tail risk timing ability of hedge fund managers. Furthermore, tail risk timing ability brings significant economic value to investors. Top-ranked funds outperform bottom-ranked funds by 5–7% annually after adjusting for risk factors. Our results are robust to various robustness checks.     

Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.     

Forecast of realized covariance matrix based on asymptotic distribution of the LU decomposition with an application for balancing minimum variance portfolio

We derive the asymptotic distribution for the LU decomposition, that is, the Cholesky decomposition, of realized covariance matrix. Distributional properties are combined with an existing generalized heterogeneous autoregressive (GHAR) method for forecasting realized covariance matrix, which will be referred to as a generalized HARQ (GHARQ) method. An out-of-sample forecast comparison of a real data set shows that the proposed GHARQ method outperforms other existing methods in terms of optimizing the variances of portfolios.