Cross-national differences in stakeholder management: Applying institutional theory and comparative capitalism framework

Drawing upon the research in institutional theory and comparative capitalism, the present study investigates how cross-national differences in the political, business, and economic institutional contexts of the United States, Italy, and Japan are associated with the ways in which companies in each of these countries prioritize and engage in their stakeholder engagement activities (SEAs). Using Porter and Kramer's framework, which classifies corporate social responsibility (CSR) activities as falling into four categories (good citizenship, mitigating harm from value chain, transforming value chain activities, and strategic philanthropy), we investigate how companies in the United States, Japan, and Italy prioritize and engage in these four SEAs. An analysis of data collected from 340 companies across these countries reveals that while companies in each of these three countries undertake the four types of SEAs, the prioritization and prevalence of the four types of SEAs vary from one country to the other, in ways that align with the prevailing institutional contexts of each country. The results contribute to a more nuanced understanding of why and how companies' approaches to CSR differ across countries. From a practitioner's perspective, the findings highlight the cultural specificity of CSR, implying that despite the global nature of CSR, the implementation of CSR needs to be tailored to a country's context.     

Stock price reactions to earnings announcements: evidence from Chinese markets

We examine the stock price reactions to changes in earnings per share (EPS) in the Chinese stock markets. We find that domestic A-share investors do not correctly anticipate the changes in earnings and fail to adjust new earnngs information quickly, but international B-share investors can predict earnings changes better than A-share investors. As a result, abnormal returns (ARs) can be obtained by trading on the earnings information, but for A shares only. An explanation is that most A-share holders are individuals with short-term investment horizon while most B-share holders are large institutions that trade on more detailed and accurate financial information not immediately available to A-share holders.     

Statistics for Studies of Human Welfare

Developments in the recent past have substantially increased our ability to measure, compute, and communicate. We take the view that a corresponding improved understanding of processes in the life sciences will come about only through more intensive studies of properties of statistical methods and algorithms and transparent, open source computing environments.     

China＇s Social Security： Case Studies of the Interest Groups and Policy Monopoly

This section introduces an asymmetric information model to analyze the interest groups and policy monopoly in social security management, mainly focusing on the relation between the interest groups in the social security products market and the social security government institutions at the central level, namely the major social security policy makers.     

Inferential Causal Models: Integrating Quality & Quantity

In-depth data analysis plus statistical modeling can produce inferentialcausal models. Their creation thus combines aspects of analysis by close inspection,that is, reason analysis and cross-tabular analysis, with statistical analysis procedures,especially those that are special cases of the generalized linear model (McCullaghand Nelder, 1989; Agresti, 1996; Lindsey, 1997). This paper explores some of the roots of this combined method and suggests some new directions. An exercise clarifies some limitations of classic reason analysis by showing how the cross tabulation of variables with controls for test factors may produce better inferences. Then, given the cross tabulation of several variables, by explicating Coleman effect parameters, logistic regressions, and Poisson log-linear models, it shows how generalized linear models provide appropriate measures of effects and tests of statistical significance. Finally, to address a weakness of reason analysis, a case-control design is proposed and an example is developed.     

人力资本测算及其应用研究综述

从人力资本测算与相关理论、人力资本测算方法与相关应用两个方面的联系对人力资本测算及其应用研究进行总结，并展望未来可能的应用研究发展。人力资本测算和应用虽然得到前所未有的重视，大量的研究成果涌现，但远未达到成熟阶段，许多研究还有待深入和进一步的发展，更多的应用领域有待开发和拓展。     

The Impact of Non-Normality and Estimation Methods in SEM on Satisfaction Research in Marketing

This paper discusses consequences of violating the normal distribution assumption imbedded in Structural Equation Modeling (SEM). Based on real data from a large sample customer satisfaction survey we follow the procedures as suggested in leading textbooks. We document consequences of this practice and discuss its impact on decision making in marketing.     

国内分时度假研究综述

分时度假是近几年来旅游学界研究的新兴热点问题之一。介绍了分时度假的概念，回顾了国内分时度假研究的历史，分析了当前研究的主要内容，并进行了总结和探讨。     

论科学与技术的统一

从科学与技术的本质、R&D活动与技术活动的统一、科学技术的价值的统一、科技创新的人格化机制统一、科技创新体系的统一、科技创新整合机制的统一、科学学和技术学发展的统一等方面探讨了科学与技术统一及建立科学技术学的必要性。     

The future of hydrogen fueling systems for transportation: An application of perspective-based scenario analysis using the analytic hierarchy process

This paper integrates the analytic hierarchy process (AHP) with scenario analysis techniques to explore the commercialization of future hydrogen fuel processor technologies. AHP is a multi-attribute decision analysis tool useful for evaluating decisions with multiple criteria and alternatives. In this paper, AHP is extended using a technique called perspective-based scenario analysis (PBSA). In PBSA, scenario analysis is conducted based on potential future decision-maker perspectives that are integrated into the AHP framework. This paper discusses this method and applies it to the evaluation of hydrogen fuel processor technologies 15–20 years hence. The results provide an added layer of insight into the opportunities and barriers for the commercialization of these technologies as well as the methodological opportunities for using AHP and PBSA as a futures tool.