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221.
C2C网络交易中维持阶段顾客信任前因研究 总被引:3,自引:0,他引:3
本文采用结构方程模型分析方法(SEM),对C2C网络交易中影响维持阶段顾客信任的前因进行了研究。本文运用问卷调查的方法,收集了107份有效问卷。研究的结果显示,卖家声誉、结构保障、忠诚顾客奖励对顾客信任有显著影响,以往的购物经历显著影响购买倾向,顾客信任显著影响购买倾向,而网站声誉对顾客信任和购买倾向的影响并不显著。 相似文献
222.
Moving beyond resource-based consequences of a firm's reputation, we develop a behavioral perspective on the impact of corporate reputation. Although there has been extensive discussion in previous studies of the benefits of reputation in terms of gaining resource advantages, we apply theory on self-regulatory focus to suggest that highly reputable firms may tend to have a prevention focus rather than a promotion focus in their investment strategies. This tendency will lead the firm to opt for low-risk investments rather than high-risk investments. Furthermore, we develop a contingency model and argue that the main effect of reputation on the investment decisions of the firm is further strengthened by the negative recommendations of securities analysts. We find support for our hypotheses. In doing so, we address emerging theories about the potential negative consequences of a firm's reputation and provide important insights for our theoretical understanding of the behavior of highly reputable firms. 相似文献
223.
The majority of studies in public relations continue to examine organization-public relationships from only the organization’s perspective, with few studies focusing on the other side of the communication loop: stakeholders. The current study takes the stakeholders’ perspective to investigate the relationship between active stakeholders’ online behavior and corporate reputation. Modeling 5-year longitudinal social media data, a content analysis was conducted for Fortune 500 companies in the context of Facebook. By examining stakeholders’ Facebook engagement at the two levels of shallow engagement and profound engagement, significant associations were discovered. Active stakeholders’ Facebook-based interactions as leaving positive or negative comments with a company are significant predictors of the company’s reputation score. The findings bring new insights to existing literature and also practical implications to public relations professionals. 相似文献
224.
本文在委托-代理理论框架下,以委托人的目标(企业长期业绩的最大化)为立足点,研究国企经理人的各种行为特征和长期激励的最优组合,建立了国企经理人双重声誉激励和股票期权激励的组合模型。本文充分结合了我国国企经理人的特点,把政治声誉模型化,在股票期权报酬形式下,研究了双重声誉(政治声誉和市场声誉)对经理人的长期激励效果,即经理人声誉影响系数最优水平和分享利润比例最优水平。并在此基础上系统分析了经理人的行为选择特征、最优激励程度以及声誉影响系数的影响因素,为经理人的长期激励提出了参考建议。 相似文献
225.
本文试图在社会分层视角下讨论学者群体的社会地位及其声望问题. 不可否认, 中国学术群体在当下社会经济发展以及国家战略中整体地位在不断提高; 他们在经济及社会地位等方面的获益也在日渐增多, 不过, "改革受益者"一词应该缓行。学者干预现实也并不简单预示着其权力地位乃至声望的提升. 在学者传统形象遭此损害的今天, 学术群体需要的不仅是深入的反思和自律, 因为单靠学者自律并不能从根本上解决问题. 面临复杂的社会阶层情况 ( 如阶层仇恨问题), 学者也不应该被动地接受阶层再造. 相似文献
226.
227.
利用2003—2009年《新财富》杂志评选作为分析师声誉和券商声誉代理变量,结合超过54000条分析师推荐评级样本,从投资者角度检验了券商声誉、分析师声誉与分析师荐股评级价值之间的短期关系和长期关系,研究结果发现:在评级公告日,"买入/增持","中性","减持/卖出"评级分组的超常收益率与分析师声誉和券商声誉之间存在不同的影响规律。通过长期关系检验还发现牛市阶段,非顶级券商明星分析师"买入/增持"评级的投资价值高于顶级券商明星分析师,但在熊市阶段,非顶级券商非明星分析师"买入/增持"评级投资价值最高,顶级券商明星分析师投资价值最低。顶级券商和非顶级券商的明星分析师"中性"评级投资价值低,投资者容易错失投资机会。顶级券商明星分析师"减持/卖出"评级投资价值最高;非顶级券商明星分析师"减持/卖出"评级投资价值最低。最后提出了维护分析师证券研究报告独立性的四条政策建议。 相似文献
228.
《Public Relations Review》2014,40(5):838-840
This study examined stakeholder responses toward two communication strategies of CSR motives: stating both self- and society-serving motives or only society-serving motives. How the effect of stated motives differs by corporate reputation was studied as well. The study found that acknowledging a self-serving motive reduces skeptical attribution and enhances stakeholders’ favorable intent to support, seek employment with, invest in, and purchase from the company. Possible backlash effects were detected when companies with poor reputations emphasize only society-serving motives and omit self-serving motives. 相似文献
229.
尹蘅 《海南大学学报(人文社会科学版)》2010,28(4):69-74
保荐制实施之后,承销商声誉与首次公开发行企业质量之间的正相关关系是否存在?本文利用2004--2006年间IPO企业数据,运用因子分析法综合衡量IPO企业上市之后的质量,并通过模型检验高声誉承销商是否与高质量IPO企业相联系。实证结果表明,高声誉承销商并未与高质量的IPO企业相联系,保荐制的实施并未促使承销商声誉机制有效发挥作用。 相似文献
230.
In the social science disciplines, the assumption that the data stem from a single homogeneous population is often unrealistic in respect of empirical research. When applying a causal modeling approach, such as partial least squares path modeling, segmentation is a key issue in coping with the problem of heterogeneity in the estimated cause–effect relationships. This article uses the novel finite-mixture partial least squares (FIMIX-PLS) method to uncover unobserved heterogeneity in a complex path modeling example in the field of marketing. An evaluation of the results includes a comparison with the outcomes of several data analysis strategies based on a priori information or k-means cluster analysis. The results of this article underpin the effectiveness and the advantageous capabilities of FIMIX-PLS in general PLS path model set-ups by means of empirical data and formative as well as reflective measurement models. Consequently, this research substantiates the general applicability of FIMIX-PLS to path modeling as a standard means of evaluating PLS results by addressing the problem of unobserved heterogeneity. 相似文献