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Using 3,994 observations of Chinese listed firms from 1995 to 2001, we find a significantly positive correlation between state ownership and cash dividend payment, and a significantly positive relation between private ownership and stock dividend payment. In particular, we find that the relation between dividend payment level and ownership structure is nonlinear. The higher the proportion of state ownership, the higher the cash dividend rate. The higher the proportion of private ownership, the higher the stock dividend rate. We conclude that the managers of Chinese listed companies are likely to cater for the preference of different shareholders.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

While many believe that nonperforming loans (NPLs), privatization of banks, informal lending, and other forms of shadow-banking, as well as technological advances in machine learning for assessing creditworthiness will place China's financial regulatory system on a trajectory toward openness and privatization, other trajectories are possible and likely. Consider that each disturbance can be met with controlled alternatives. For NPLs, there are asset management companies; for informal lending, there is new technology to lower transaction costs and increase formalization and consolidation; for systemic risk presented by other forms of shadow-banking, there is systemic isolation of the traditional banking sector which substantially lowers that risk; and while machine learning promises more accurate assessments of creditworthiness for millions of individuals and small- to medium-sized enterprises, it promises far less improvement to assessments of China's 3,500 large enterprises that present substantially different variables. Privatization and openness is not necessary for China's continued development for a time just as liberalized payment regimes and foreign direct investment rules do not imply the implementation of broad, liberal capital controls. Financial regulators in China, therefore, will continue to implement policies of limited and piecemeal openness so long as the benefits of control continue to exceed those of faster-paced development.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Purpose – Recent research on the gender culture and femininity of adolescent girls found that girls construct their gender identity in various ways that are intertwined with race, ethnicity, social class, and sexual orientation. However, these existing studies focused on either general schoolgirls (see Ali, S. (2003). To be a girl: Culture and class in schools. Gender and Education, 15(3), 269–283; Bettie (2003); Weiler, J. D. (2000). Codes and contradictions: Race, gender identity and schooling. Albany, NY: State University of New York Press; Renold, E. (2005). Girls, boys and junior sexualities: Exploring children's gender and sexual relations in the primary school. London: Routledge) or delinquent girls in a gang (see Miller, J. (1998). Gender and victimization risk among young women in gangs. Journal of Research in Crime and Delinquency, 35, 429–453; Miller (2001); Joe-Laidler & Hunt (2001); Schalet, A., Hunt, G., & Joe-Laidler, K. (2003). Respectability and autonomy: The articulation and meaning of sexuality among the girls in the gang. Journal of Contemporary Ethnography, 32, 108–143; Messerschmidt (1995); Messerschmidt, J. W. (1997). Crime as structured action: Gender, race, class, and crime in the making. Thousand Oaks, CA: Sage), and only a few studies paid attention to girls who showed overt oppositional behaviors at school.

Methods – The research uses qualitative methods and explores the gender identity of two adolescent girls in a junior high school in Taiwan, who are regarded as problem or “bad” girls by the school faculty.

Results – The two girls both manifested “ladette” culture (Jackson, 2006). On the one hand, they showed masculine behaviors such as fighting, troublemaking, disobeying school regulations, and using drugs and alcohol. On the other hand, they deliberately emphasized their femininity and sexual maturity in the way they dressed, talked, and behaved.

This is a companion paper to our previous study in Cao and Wei (2005) on stock market temperature anomaly for eight international stock markets. The temperature anomaly is characterized by a negative relationship between stock market returns and temperature. This line of work relies on the impact of environmental variables, such as temperature, on mood and behavior changes. In this paper, we expand the sample in Cao and Wei (2005) to include 19 additional financial markets. Our evidence confirms the identified negative relationship for the expanded sample. More importantly, our nonparametric tests, as opposite to the parametric or semi-parametric approaches used by previous related studies, demonstrate that this negative relationship is robust to distributional assumptions. Based on the sub-sample analysis, we find that this negative relationship is stable over time. Furthermore, we consider temperature deviation and demonstrate that this negative relationship is not just a level effect.