Impact of Personal and Situational Factors on Taxpayer Compliance: An Experimental Analysis

This study used a laboratory experiment with monetary incentives to test the impact of three personal factors (moral reasoning, value orientation and risk preference), and three situational factors (the presence/absence of audits, tax inequity, and peer reporting behavior), while controlling for the impact of other demographic characteristics, on tax compliance. Analysis of Covariance (ANCOVA) reveals that all the main effects analyzed are statistically significant and robustly influence tax compliance behavior. These results highlight the importance of obtaining a proper understanding of these factors for developing effective policies for increasing the level of compliance, and indicate that standard enforcement polices based on punishment alone should be supplemented by an information system that would acquaint tax payers with the compliance level of other tax payers; reinforce the concept of fairness of the tax system among tax payers; and develop programs that enhance and appeal to a taxpayer's moral conscience and reinforce social cohesion.     

Empirical study on Chinese tourists’ perceived trust and intention to use biometric technology

This paper presents a theoretical model based on the Technology Acceptance Model combined with a perceived trust model. SPSS 23 and Amos 22 were used to analyze Chinese tourists’ responses regarding use of biometric technology in hotels and to assess whether their perception of trust – measured through five potential factors – affected their intention to use it. Chinese tourists traveling in Macau were recruited, and three types of biological identification technology were discussed. A total of 600 questionnaires were sent out, and 583 effective questionnaires were recovered. The results that in addition to perceived ease of use, other factors affected visitors’ perceptions of trust. The degrees of effectiveness, however, differed between the three biological identification technologies. Fingerprint technology was revealed to be the most trusted and accepted biometric technology.     

企业社会责任会计:内涵、目标与计量

本文探讨了企业社会责任会计的内涵界定、会计目标以及计量问题,指出企业社会责任会计应该主要反映企业在经济责任之外的其他社会责任;会计目标是为政府部门制定相关政策提供信息和为企业向利益相关者传递信息提供载体,信息提供的方式包括强制性披露和自愿披露;还应通过政府立法和明晰产权等,使外部成本内部化来部分解决计量问题。     

股市泡沫循环的公共政策反应

股市泡沫循环对经济会造成负面影响,政府的理性选择是采用公共政策对股市波动做出适当反应.本文在运用内在泡沫模型分析我国股市泡沫形成机理的基础上,把内在泡沫扩展到金融加速子模型中,探求股市泡沫循环对实体经济造成影响的具体机制,并用股票收益率和贷款增长率对金融加速子进行实证检验,进而推导出公共政策工具,且对直接或间接作用于股市的公共政策做出政策评价.     

约束型政策对于生育性别选择行为的影响:基于TPB模型的解释

基于计划行为理论(Theory of Planned Behavior,TPB)模型,利用陕西省三个县区的调查数据,对约束型政策在生育性别选择行为决策当中的作用进行了分析。个人的儿子偏好态度、社会关系网络成员的儿子偏好态度仍然是生育性别选择行为的决定性影响因素,约束型政策对生育性别选择行为具有一定的影响,但十分有限。研究结论对于现阶段中国出生人口性别比的治理提供了一定的启示,指出包含查出两非、全程服务、利益导向和宣传倡导等在内的综合手段对治理出生人口性别比具有积极作用。     

Expected benefits and perceived risks of cloud computing: an investigation within an Italian setting

Over the past several years, cloud computing has increasingly been regarded as able to improve efficiency within organisations. The aim of this study is to address under-investigated issues related to the implementation of cloud computing, with a particular focus on expected benefits and the perception of risks. Towards this aim, on the basis of an adapted version of the technology acceptance model, we carried out a semi-structured survey among first-time cloud computing users to identify expected benefits and perceived risks. The survey of this study included a sample of 130 individuals in 65 enterprises located within Italy. We chose an Italian setting because it is characterised by an increasing number of programmes that emphasise the importance of cloud computing and support its wide dissemination. The findings of this study identify possible areas for improvement within the implementation phases of cloud computing.     

转让方社会责任与主并方企业价值——主并方社会责任的中介效应检验

以并购事件为联结,设置企业社会责任、企业价值等主要变量,实证检验转让方企业社会责任与并购完成后主并方企业社会责任之间、主并方企业社会责任与其企业价值之间、并购前转让方企业社会责任与并购后主并方企业价值之间等三对关系。结果显示,上述三对关系均为显著正相关,且在并购前转让方企业社会责任与并购完成后主并方企业价值之间的关系中,并购完成当年主并方企业社会责任起到中介作用。     

财务报告舞弊行政处罚与可感知审计质量

以2001年至2008年间非金融类、非外资类正常交易A股公司为研究样本,考察财务报告舞弊行政处罚是否传递了可感知审计质量信息,实证研究结果表明：投资者总体上并不认可财务报告舞弊行政处罚传递了可感知审计质量信息,仅当投资者观察到反映坏消息的审计意见（如审计师出具非标审计意见、审计意见未改善等）和反映审计师声誉信息（如审计师受到行政处罚）的情况下,投资者才认为财务报告舞弊行政处罚传递了可感知审计质量信息。     

LearnSmart,adaptive teaching,and student learning effectiveness: An empirical investigation

Facing the growing number of digital natives entering the classroom, business professors look for innovative ways to enhance the student learning experience. The authors focus on the online interactive learning tool LearnSmart (McGraw-Hill, New York, NY), and examine its impact on student learning effectiveness by testing the direct and indirect relationships among perceived competence, perceived challenge, instructors, perceived value, and satisfaction with LearnSmart. Constructionism served as the theoretical foundation for this study. About 215 students at a public university in the United States took the survey and 197 valid responses were received. Regression analysis results showed that the use of LearnSmart improved students' perceived competency, thus increasing their perceived value of using LearnSmart, as well as their satisfaction with LearnSmart. Perceived value was also found to mediate the impact of perceived competency on satisfaction with LearnSmart, and the instructor played a significant role in facilitating and improving student learning. Perceived challenge impacted student's perceived value of using LearnSmart, but it did not influence satisfaction with LearnSmart.     

Predicting Internet banking adoption in India: a perceived risk perspective

The emergence of Internet banking has transformed the banking systems across the globe. As a channel to market, Internet banking allows geographical constraints to be overcome by offering various products and services at lower customer costs. An understanding of the factors influencing customer adoption of Internet banking is both relevant and timely. This study integrates technology acceptance model and perceived risk theory in understanding Internet banking acceptance among Indian bank account holders. Specifically, this study categorizes perceived risk as external risk and internal risk, and examines its influence on customer beliefs and adoption of Internet banking. Using two-step predictive analytics of structural equation modeling and artificial neural network analysis, the 270 responses reveal that both external risk and internal risk inhibit customer acceptance of Internet banking. More importantly, neural network analysis reveals that perceived ease of use and external risk are two important factors determining how well Internet banking is accepted by customers. The implications of the study findings and future research directions are presented.