Examining the impacts of community and organization embeddedness on self-initiated expatriates: the moderating role of expatriate-dominated private sector

With a newly developed dimension of the job embeddedness construct and the aim to better understand turnover, this study investigates the relationships of job embeddedness with shocks and turnover intention for an important emerging group in the worldwide workforce – self-initiated expatriates (SEs). We consider three embedding factors: individuals' community embeddedness towards their home country (home country community embeddedness – HomeCCE – newly developed), embeddedness towards the organization in which they are employed in the host country (host country organization embeddedness – HostCOE) and embeddedness towards the host country community (host country community embeddedness – HostCCE). Structural equation modelling is applied to a sample of SEs from 10 three-star to five-star hotels in the Macau SAR of China. This research shows that HostCOE plays a mediating role between a SEs' HomeCCE and turnover intention and willingness to accept unsolicited job offers; and these mediated relationships are moderated by the variables: expatriate-dominated private sector and the SEs' HostCCE. These findings shed light on factors that affect the retention of SEs and have implications for management and future research.     

The impact of litigation risk on the association between audit quality and auditor size: Evidence from China

We examine whether audit quality varies across different sizes of CPA firms under high or low auditor‐specific litigation risk exposure. We measure audit quality by the issuance of modified audit opinions and the audit fees charged to clients, and we use the organizational form of CPA firms as the proxy for auditors’ litigation risk exposure, where a partnership (limited liability) CPA firm represents a high (low) litigation risk exposure. Built on Choi, Kim, Liu, and Simunic's (2008) theoretical framework, we hypothesize that the litigation risk exposure of CPA firm moderates the association between auditor size and audit quality. Our results show that when the auditor's liability is capped (i.e., registered as a limited liability form of CPA firm), larger size CPA firms are associated with higher audit quality when compared to smaller size CPA firms. However, this positive association between auditor size and audit quality disappears for audit firms that are subject to high litigation risk exposures (i.e., registered as a partnership form of CPA firm). Our research provides new insights on the impact of auditor‐specific litigation risks on the relation between audit quality and auditor size. In particular, we show that only when auditor‐specific litigation risk is limited, do large CPA firms appear to perform higher quality audits than small CPA firms.     

An approach to the R&D value based upon real option method

This paper aims to build up feasible models based upon the real option method (ROM) to assess R&D. In this paper we built eight models integrating with three conditions to assimilate the real situation an R&D project may encounter. We utilized both numerical and statistical illustration based upon an empirical case to exhibit the correctness of our models. We diverged our discussion into either expense or capital viewpoint to react with current accounting debate. The results shed us the light: our models in both expense and capital viewpoint can correctly asses R&D; the selected conditions play essential roles to influence the correctness of our models.     

sk−p Fractional factorial designs in sb blocks

Draper and Guttman (1997) shows that for basic 2^k−p designs, p≥0, k − p replicates of blocks designs of size two are needed to estimate all the usual (estimable) effects. In this work, we provide an algebraic formal proof for the two-level blocks designs results and present results applicable to the general case; that is, for the case of s ^k factorial (p=0) or s ^k−p fractional factorial (p >0) designs in s ^b blocks, where 0<b<k− p, at least replicates are needed to clear up all possible effects. Through the theoretical development presented in this work, it can provide a clearer view on why those results would hold. We will also discuss the estimation equations given in Draper and Guttman (1997).  Research supported in part by the National Science Council of Taiwan, R.O.C., Grant No. NSC 89-2118-M110-010. Acknowledgement. The authors would like to thank the referee for very helpful comments.     

Ecommerce and hotel performance: three-stage DEA analysis

This paper is the first to apply the three-stage data envelopment analysis procedure to analyze the impact of ecommerce on hotel performance. After purging the effects of exogenous factors, this study found that there are no significant differences in efficiency owing to different ecommerce adoption status. In other words, ecommerce adoption is not the main determinant of the efficiency of international tourist hotels in Taiwan.     

Jeux de mots,narrative and economic writing: The rhetoric of anti-physiocracy in French economic periodicals (1764–1769)

Abstract

This article analyses the extensive debate that took place from 1764 to 1769 between, on the one hand, François Quesnay and the Physiocrats and, on the other hand, a group of authors led by François Véron de Forbonnais. In this article, we argue that these exchanges have, to a large extent, structured the anti-physiocratic rhetoric.     

The Influence of Environmental Knowledge and Values on Managerial Behaviours on Behalf of the Environment: An Empirical Examination of Managers in China

This study explores linkages between what Chinese managers generally know about environmental issues, how strongly they value environmental protection, and different types of behaviours/actions they may take within their organizations on behalf of the environment. From a sample of 305 managers in Guangzhou and Beijing, it was found that both environmental knowledge and values are more predictive of more personal managerial behaviours, such as keeping informed of relevant company issues and working within the system to minimize environmental impacts, than more overt behaviours. Moreover, for these more personal actions, environmental knowledge and values were found to have both main and interactive effects. By comparison, it was found that both environmental values and knowledge had additive effects on managerial tendencies to initiate new programs within their domain of responsibility. Only environmental values was found to have a modest influence environmental advocacy.     

A scenario-based integrated approach for modeling carbon price risk

Carbon prices are highly dependent on government emission policies and local industrial compositions. When historical data does not exist or limited price data can only be sourced from another country, scenario analysis becomes the only tool for the modelling of future carbon prices. However, various plausible but equally possible scenarios can produce large variations in forecast carbon prices. In a traditional approach of scenario analysis, investment decisions or risk management strategies are proposed and analysed for each given scenario, optimal solutions are determined. However, when the number of scenarios becomes large, it often becomes too complex and intractable to have a clear view on the selection of investment decisions or risk-management strategies because these decisions and strategies are closely linked with each of the many scenarios. In this paper, it is proposed to use a stochastic mean-reversion model to represent future carbon price movements, but this model is calibrated to the forecast carbon prices of all the scenarios. In this approach, a single model is used to capture the underlying uncertainty and expectation of the stochastic carbon prices as projected by all the scenarios, carbon price risk can thus be modeled and analysed without the need for direct references to any specific scenarios. The modelling and management of long-term carbon-price risk are therefore purely dependent on future carbon price levels and volatilities of these scenarios, instead of on the scenarios themselves. Through such an approach, the optimization of investment decisions and risk management solutions can be much simpler because the forecasted carbon prices are the only input data.