Knowledge-oriented human resource configurations,the new product development learning process,and perceived new product performance

We propose a set of organizational efforts that can help companies accumulate and learn knowledge related to new product development (NPD) activities. We call it the NPD learning process and argue that a set of coherent human resource management (HRM) practices, termed knowledge-oriented human resource (HR) configuration, can facilitate the NPD learning process. Collecting survey data from Taiwan, we find that the knowledge-oriented HR configuration is positively related to the NPD learning process and that the NPD learning process is positively related to managers' perceived new product performance. This study contributes to the literature of strategic HRM and innovation management.     

Fewer Fish for Higher Profits? Price Response and Economic Incentives in Global Tuna Fisheries Management

This paper evaluates industry-wide economic incentives arising from changes in product prices in an industry exploiting a common renewable resource (tropical tunas) that is regulated via output limits. Changes in prices alter economic incentives by affecting revenues, profits, conservation, and nonmarket public benefits. Economic incentives in industries exploiting common resources have been examined from multiple angles. However, industry level variation in market prices arising from changes in public regulation has not been explored. We analyse the impact on economic incentives due to changes in output limits and market prices through estimation of ex-vessel price and scale flexibilities for imported skipjack and yellowfin in Thailand’s cannery market. The unitary scale flexibility, estimated from the General Synthetic Inverse Demand Systems, indicates no loss in revenue and even potential profit increases resulting from lower harvest levels that could arise from lower catch limits. However, for a revenue neutral or positive outcome to be achieved, the three inter-governmental tuna Regional Fisheries Management Organizations, which manage the majority of the yellowfin and skipjack tuna in the Pacific and Indian Oceans, would have to coordinate multilaterally to set the catch limits for both species.     

WHAT MAKES INTERNATIONAL CAPITAL FLOWS PROMOTE ECONOMIC GROWTH? AN INTERNATIONAL CROSS‐COUNTRY ANALYSIS

This paper re‐examines the relationship between international capital flows and economic growth within the context of various ‘conditional factors’ that possibly have the potential to influence such relationships. It achieves this by employing panel data for 80 countries that cover 1976–2007. International capital inflow is broken down into foreign direct investments (FDI) and foreign portfolio investments (FPI). We find interesting evidence that only FDI has a positive effect on growth and that FPI has an unfavorable, if not negative, effect on growth. The conditional variables of banking liberalization, high‐income level, twin crises, lower corruption, and human capital mitigate the positive impacts of FDI on growth. In contrast, the middle‐income level and good shareholder protection have a positive effect. As concerns FPI, the level of financial liberalization, being in a Latin American region, the wealth of countries, and market governance all influence the way that FPI affects growth, whereas the conditional variables of twin crises and human capital do not influence the effect of FPI on economic growth.     

The Role of Correlated Trading in Setting REIT Prices

This study investigates the role of correlated trading by individuals in setting equity real estate investment trust (REIT) prices. Consistent with existing literature, this study finds that there is a common element in correlated trades that drives both traditional closed-end fund prices and REIT prices. Perhaps more important, we find evidence suggesting that (1) the effects of correlated trading on REIT prices are stronger for those REITs that are hypothesized to be preferred by individual investors, and (2) this linkage is stronger when the REIT market is hot and exuberant; i.e., when the average share turnover in the REIT market is high.     

Exploring the roles of self-concept and future memory at consumer events: the application of an extended Mehrabian–Russell model

This study aimed to extend Mehrabian and Russell’s stimulus–organism–response (S-O-R) framework to consumer events. Physical environment and staff interaction were evaluated as stimuli which impact event attendees’ self-concept and memory (organism), and lead to behavioral intention (response). Data were collected from the surveys completed by 449 attendees of Armada event. The findings confirmed the impact of physical environment on self-concept and memory, as well as the mediation effect of memory between self-concept and behavioral intention. The study is a pioneer in the application of an extended S-O-R framework with the inclusion of memory.     

Discovering REIT Price Discovery: A New Data Setting

This study decomposes real estate investment trust (REIT) returns into two components: (1) real returns, and (2) public returns. The real returns are based on the changes in the private, appraisal-based net asset values of REITs, whereas the public returns are measured by the variations in REITs’ premiums/discounts. This study then investigates the price discovery of REIT prices. The results indicate that lagged public returns are useful in predicting real returns. In addition, the study documents concurrent factor exposures for public returns and lagged factor exposures for private returns under a variety of asset pricing models. Overall, the results are consistent with the notion that public markets are more efficient in processing information.

FISCAL EXPENDITURE AND INDUSTRIAL LAND PRICE IN CHINA: THEORY AND EVIDENCE

This paper aims to discover the mechanism behind the positive correlation between local fiscal expenditure and industrial land price in China, a stylized fact discovered by bivariate and regression analyses. The model shows that if the positive externality of government expenditure on growth is sufficiently high, the local government has an incentive to increase public spending in exchange for the reduced demand for industrial land by charging a higher markup and driving up the industrial land price. Therefore, we observe a positive correlation between the local fiscal expenditure and industrial land price. (JEL D42, H72, R51)     

BILATERAL RENT‐SEEKING AND GROWTH OF FDI INFLOW IN CHINA: THEORY AND EVIDENCE

This research proposes a new theory called bilateral rent‐seeking to explain the dramatic growth of foreign direct investment (FDI) inflow into China over the past several decades. We construct a Nash bargaining model to illustrate the relevance of how the reciprocal relationship between the local state and foreign investors leads to the greater incentives for the latter to invest in the local market, thus resulting into the huge FDI inflows into the domestic market in China in the past several decades. The empirically evidence presented in the end is broadly consistent with the theories proposed in this paper (JEL D21, D72, L52)     

An expectancy theory model for hotel employee motivation

The purpose of this study is to apply expectancy theory to employee motivation in the hotel setting and confirm the validity of expectancy theory. The proposed expectancy theory model for motivation was tested using data from 289 hotel employees. The results show that a modified expectancy theory with five components (expectancy, extrinsic instrumentality, intrinsic instrumentality, extrinsic valence, and intrinsic valence) best explains the process of motivating hotel employees. This study also indicates that intrinsic motivation factors are more influential than extrinsic factors for hotel employees, suggesting that hotel managers need to focus more on intrinsic factors to better motivate employees.     

Outlier Detection in the Lognormal Logarithmic Conditional Autoregressive Range Model

An outlier detection procedure in the lognormal logarithmic conditional autoregressive range (lognormal Log‐CARR) model is proposed. The proposed test statistic is demonstrated to be well‐sized and to have good power using Monte Carlo simulations. Furthermore, the outlier detection procedure suffers less from the masking effect caused by multiple outliers. The results of an empirical investigation show that the proposed method can effectively detect volatility outliers and improve forecasting accuracy.