C2C电子社区成员信誉值的计算模型研究

信任问题是关系C2C社区发展的主要因素之一.通过交易后相互评分,计算C2C社区成员信誉值并为潜在交易提供指导是建立社区信任的一种方法.通过在Sporas模型的基础上增加交易量、交易次数等变量和引入惩罚因子,提出了一种改进的C2C社区成员信誉值计算模型(E-Sporas),并针对信誉诋毁、信誉共谋这2类恶意行为设计仿真实验,检验模型的应用效果,从而为建立在线信誉系统提供一定的借鉴作用.     

Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services

Reducing social uncertainty—understanding, predicting, and controlling the behavior of other people—is a central motivating force of human behavior. When rules and customs are not sufficient, people rely on trust and familiarity as primary mechanisms to reduce social uncertainty. The relative paucity of regulations and customs on the Internet makes consumer familiarity and trust especially important in the case of e-Commerce. Yet the lack of an interpersonal exchange and the one-time nature of the typical business transaction on the Internet make this kind of consumer trust unique, because trust relates to other people and is nourished through interactions with them.This study validates a four-dimensional scale of trust in the context of e-Products and revalidates it in the context of e-Services. The study then shows the influence of social presence on these dimensions of this trust, especially benevolence, and its ultimate contribution to online purchase intentions.     

动态营销范式下中国服务业顾客满意形成机制研究

尝试分析两大营销范式涉及的多个变量:服务质量(硬质量、软质量)、顾客信任(销售员信任、服务商的信任)、感知价值、顾客承诺和总体满意,并展示它们之间的关系.同时,提出了一个整合模型并建立了反映以上变量关联的一系列假设,通过实证研究验证了消费者满意的结构方程模型(SEM).最后,为企业赢取顾客满意提出了建议.     

Public Perception of Uncertainties Within Climate Change Science

Climate change is a complex, multifaceted problem involving various interacting systems and actors. Therefore, the intensities, locations, and timeframes of the consequences of climate change are hard to predict and cause uncertainties. Relatively little is known about how the public perceives this scientific uncertainty and how this relates to their concern about climate change. In this article, an online survey among 306 Swiss people is reported that investigated whether people differentiate between different types of uncertainty in climate change research. Also examined was the way in which the perception of uncertainty is related to people's concern about climate change, their trust in science, their knowledge about climate change, and their political attitude. The results of a principal component analysis showed that respondents differentiated between perceived ambiguity in climate research, measurement uncertainty, and uncertainty about the future impact of climate change. Using structural equation modeling, it was found that only perceived ambiguity was directly related to concern about climate change, whereas measurement uncertainty and future uncertainty were not. Trust in climate science was strongly associated with each type of uncertainty perception and was indirectly associated with concern about climate change. Also, more knowledge about climate change was related to less strong perceptions of each type of climate science uncertainty. Hence, it is suggested that to increase public concern about climate change, it may be especially important to consider the perceived ambiguity about climate research. Efforts that foster trust in climate science also appear highly worthwhile.     

Risk, Trust, and Safety Culture in U.K. Train Operating Companies

Organizational safety culture reflects the attitudes and behaviors that individuals share in considering and reacting to hazards and risks. We first argue that trust is an underdeveloped and important concept in relation to theories of safety culture and high-reliability organizations. The article then reports findings from a two-year qualitative study of train operating companies (TOCs) in the United Kingdom, which sought to explore in detail the linkages between safety culture and the postprivatized railway industry. In-depth interviews and focus groups were carried out with a sample of over 500 employees, from four organizations, and representing all key functional levels. Our analysis suggests that the 1993 privatization, and subsequent organizational restructuring of the U.K. railway industry, has had important repercussions for both safety culture and trust relationships. We explore our findings in relation to three key constructs within "safe organizations" theories (namely, flexibility, commitment, and learning), and discuss how the safe organization model might be usefully supplemented by a consideration of trust issues.     

Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach

This article employs Agent-Based Computational Economics (ACE) to investigate whether, and under what conditions, trust is viable in markets. The emergence and breakdown of trust is modeled in a context of multiple buyers and suppliers. Agents develop trust in a partner as a function of observed loyalty. They select partners on the basis of their trust in the partner and potential profit, with adaptive weights. On the basis of realized profits, they adapt the weight they attach to trust relative to profitability, and their own trustworthiness, modeled as a threshold of defection. Trust and loyalty turn out to be viable under fairly general conditions.     

基于信任的供应链伙伴关系维系管理方法研究

在契约的基础上进行基于信任的伙伴关系维系管理是保证节点企业间融洽合作关系的有效策略之一.本文首先分析了供应链伙伴关系管理实践中需要注意的问题以及信任与供应链伙伴关系的内在联系;在供应商开发程序的基础上融入信任诊断、协商沟通和改进供应链伙伴关系提高绩效的过程,提出了一种基于信任诊断的供应链伙伴关系开发程序进行多层伙伴关系维系的方法,包括基于信任的伙伴关系诊断层、伙伴关系协商沟通层和伙伴关系修正层.最后给出了支持该方法不同组成元素的企业实际运作例证.     

An Empirical Test of Competing Theories of Hazard-Related Trust: The Case of GM Food

Few scholars doubt the importance of trust in explaining variation in public perception of technological risk. Relatively little, however, is known about the particular types of judgments that people use in granting or withholding trust. This article presents findings from an empirical study that explores several dimensions of trust relevant for citizens' judgments of scientists involved in the development of GM food. The relationship between particular dimensions of trust and perceptions of GM food risk is also explored, using structural equation modeling. Results suggest that trust judgments based on the perception of shared values are most important in relation to GM food risk, but that judgments about scientists' technical competence are also important.     

Consumer trust repair: A critical literature review

Consumers are fundamental to organisational functioning and survival. Their loyalty, commitment, product acceptance and good long-term relationships with firms and brands are underpinned by their trust. Unfortunately, over the last decade or so, we have witnessed some of the more spectacular violations of consumer trust in the history of business. This has led to negative consequences, such as loss of competitive advantage, rage, lack of commitment and decrease in turnover. Consequently, study of trust repair has become an important theoretical concern for a growing number of trust scholars. This article reviews and synthesises existing theory and research on the topic. It first sketches general characteristics of the consumer trust repair literature, including its meta-theoretical underpinning. It then identifies specific strategies associated with consumer trust repair and synthesises them into five categories of trust repair strategies. In addition, this paper highlights theoretical processes that explain why/how trust repair strategies work. Third, the paper proposes six fruitful avenues for future research. This study contributes to the field of consumer trust repair research by critically reviewing and synthesising emerging theory and research on strategies associated with consumer trust repair, by showing why and how these strategies work and by identifying most fruitful research areas.     

A New Look at the Psychometric Paradigm of Perception of Hazards

The psychometric paradigm has been the most influential model in the field of risk analysis. The "cognitive maps" of hazards produced by the paradigm seem to explain how laypeople perceive the various risks they face. Because most of the studies used aggregated data, analyzed using principal component analysis, it is not known whether the model neglects individual differences in risk perception. There has been much criticism on the fact that few studies have examined individual differences in the cognitive representation of hazards. In order to detect and describe the internal structure of the three-way data, we conducted a three-way component analysis (3MPCA). Data for the present analysis were derived from a mail survey conducted in Switzerland. Participants were asked to judge 9 attributes for 26 hazards. Individual differences in the cognitive representation of hazards were correlated with external variables (e.g., general trust). The results suggest that methods permitting individual differences should be used more frequently and that utilizing different methods could provide greater insight into the cognitive representation of risks.