Factor Heterogeneity,Factor Market Imperfection and Trade

This paper develops a tractable model of examining how factor heterogeneity and imperfect factor market interact for determining a pattern of trade. Institution plays a crucial role for the interaction. In my work, firm productivity is defined as a composition of factor productivity and technology. Thus, input selection should affect the pattern of Melitz’s intra-industry allocation due to the incurring transaction cost. For a simple model, I assume two factors (labor and capital) and two sectors, which are relatively less institution-dependent and relatively more institution-dependent. When the economy is open, effect of the transaction cost on income distribution is more drastic for an institutionally underdeveloped country. Depending on institutional quality, the economic openness reallocates resource across countries through job creation or job destruction. The job turnovers redistribute income between heterogeneous labors within countries. The income redistribution is catalyzed by international mobility of capital. As a result, income disparity is widened between the institutionally developed country and the institutionally underdeveloped country. This paper can contribute to the literature of institution and international trade.     

CEO internal experience and voluntary disclosure quality: Evidence from management forecasts

Internally‐promoted CEOs should have a deep understanding of their firm's products, supply chain, operations, business climate, corporate culture, and how to navigate among employees to get the information they need. Thus, we argue that internally‐promoted CEOs are likely to produce higher quality disclosure than outsider CEOs. Using a sample of US firms from the S&P1500 index from 2001 to 2011, we hand‐collect whether a CEO is hired from inside the firm and, if so, the number of years they worked at the firm before becoming CEO. We then examine whether managers with more internal experience issue higher quality disclosures and offer three main findings. First, CEOs with more internal experience are more likely to issue voluntary earnings forecasts than those managers with less internal experience as well as those managers hired from outside the firm. Second, CEOs with more internal experience issue more accurate earnings forecasts than those managers with less internal experience as well as those managers hired from outside the firm. Finally, investors react more strongly to forecasts issued by insider CEOs than to those issued by outsider CEOs. In additional analysis, we find no evidence that these results extend to mandatory reporting quality (i.e., accruals quality, restatements, or internal control weaknesses), perhaps because mandatory disclosure is subjected to heavy oversight by the board of directors, auditors, and regulators. Overall, our findings suggest that when managers have work experience with the firm prior to becoming the CEO, the firm's voluntary disclosure is of higher quality.     

OPEN ARCHITECTURE AND R&D INCENTIVES

In open systems, firms give up their property rights to technologies and permit other companies to use these technologies. We ask how an incumbent's architecture choice affects social welfare by altering R&D competition among firms. More specifically, we ask whether an incumbent, by adopting an open system, can establish its socially inefficient technology as the market standard, while an entrant is developing a more efficient technology. It is shown that an incumbent has an incentive to preempt an entrant's competing technology by choosing an open system, but that the open system might result in a premature market standard.     

Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures

A feature transformation method based on domain knowledge for arti?cial neural networks (ANNs) is proposed. The method of feature transformation based on domain knowledge converts continuous values into discrete values in accordance with the knowledge of experts in speci?c application domains. This approach effectively ?lters data, trains the classi?er, and extracts the rules from the classi?er. In addition, it reduces the dimensionality of the feature space, which not only decreases the cost and time in the operation but also enhances the generalizability of the classi?er. The experimental results of the proposed approach will be compared and tested statistically with the results of the linear transformation method. The results show that the method of feature transformation based on domain knowledge outperforms the linear transformation in modelling of ANNs. Copyright © 2004 John Wiley & Sons, Ltd.     

Does telic/paratelic user mode matter on the effectiveness of interactive internet advertising? A reversal theory perspective

Drawing on reversal theory (Apter, 2007), the current research proposes that internet users' metamotivational state (telic vs. paratelic) determines advertising interactivity's effectiveness. An online field experiment involving 141 Facebook and Twitter users tests this proposition. Research findings support telic state consumers form more positive attitudes toward a low-level interactive ad, whereas paratelic state consumers form more positive attitudes toward a high-level interactive ad. Further, this research shows that an arousal seeking tendency mediates the metamotivational state's impact on ad attitude.     

Cultural Differences in Online Community Motivations: Exploring Korean Automobile Online Brand Communities (KAOBCs) and American Automobile Online Brand Communities (AAOBCs)

To gain a better understanding of online brand communities, this study has examined why people joined in online brand communities and whether there were some differences in the motivations of Internet users based on different cultures. Open-ended questions were asked to the community members from both South Korean Automobile Online Brand Communities (KAOBC) and American Automobile Online Brand Communities (AAOBC) in the first stage and then generated and utilized an online survey for the study. The study found that KAOBC members tended to have a stronger social network, business, and communication motivations than AAOBC members. As a primary motivation, information seeking is the strongest motivation for members of both KAOBC and AAOBC. They had a similar level of information motivation.     

Training professionals' usage and understanding of Kirkpatrick's Level 3 and Level 4 evaluations

Training professionals have long acknowledged the necessity of conducting behavior‐based (Level 3) and results‐based (Level 4) evaluations, yet organizations do not frequently conduct such evaluations. This research examined training professionals' perceptions of the utility of Level 3 and Level 4 evaluations and the factors that facilitate or obstruct their attempts to perform them. The research was conducted using Brinkerhoff's Success Case Method and Gilbert's Behavior Engineering Model as its frameworks. The three key factors identified by study participants as having an impact upon their ability to conduct Level 3 and Level 4 evaluations were the availability of resources such as time and personnel, managerial support (organizational) and expertise in evaluative methodology (individual). The research findings indicated a need to further explore how training professionals interpret Level 3 and Level 4 and how they can better develop their evaluative expertise, which in turn may increase effectiveness in gaining organizational support for evaluation efforts.     

Stock exchange mergers and market efficiency

The aim of this article is to examine the impact of stock exchange mergers on the degree of informational efficiency. For this purpose, we apply the generalized spectral shape test for the martingale difference hypothesis to the stock returns before and after the 31 domestic and cross-border mergers completed from 1997 to 2011. The test is conducted with moving subsample windows, allowing us to detect the periods of (in)efficiency, and thus to conduct a comparative analysis for pre-merger and post-merger periods. We find that higher levels of efficiency are less frequent than lower levels of efficiency after a stock exchange merger. We also find that the impact on the level of efficiency depends on a range of merger characteristics such as the level of development, size, geographical diversification and industrial diversification of stock exchange.     

Econometric Methods for Modelling Systems With a Mixture of i(1) and i(0) Variables

This paper considers structural models with both I(1) and I(0) variables. The structural shocks associated with either set of variables could be permanent or transitory. We classify the shocks as (P1,P0) and (T1,T0), where P/T distinguishes permanent/transitory, while 1/0 means they are attached to structural equations with either I(1) or I(0) variables as their ‘dependent’ variable. We show that P0 shocks can affect cointegration analysis and provide a formula to compute the permanent component if they are present. Finally, we reformulate a well‐known empirical structural vector autoregression showing the impact of P0 shocks when there are just long‐run parametric and sign restrictions. Copyright © 2015 John Wiley & Sons, Ltd.     

Scarcity Appeals in Advertising: The Moderating Role of Expectation of Scarcity

Advertisers often use scarcity appeals to influence consumers, with announcements such as “hurry, limited quantities,” and “limit: two per customer.” Based on a persuasion knowledge framework, we show in three studies that the effect of scarcity appeals on product evaluation is moderated by consumers' expectation of scarcity, such that scarcity appeals have a positive effect when expectation of scarcity is high but not when it is low. We also show that this interaction effect holds for expectation of scarcity due to demand as well as supply, and that cognitive load constitutes a boundary condition for this effect. These findings contribute to the literature by identifying expectation of scarcity as a moderator, persuasion knowledge as a mechanism, and cognitive load as a boundary condition for the effect of scarcity appeals on product evaluation. From a managerial perspective, this research indicates that scarcity appeals are more effective when consumers have high compared to low expectations of scarcity; that activation of persuasion knowledge can eliminate the positive effect of scarcity appeals; and that cognitive load can reinstate the positive effect of scarcity appeals on product evaluation.