对话的人际意义探析——以美国电视连续剧《越狱》为例

该文用系统功能语法中的人际意义对英文连续剧《越狱》中囚犯与狱管之间的对话进行分析。该文将语气、情态和其他实现人际意义的资源，如称呼语、禁忌语和咒骂语等与话语的语旨相结合进行分析。研究发现社会等级的差异在监狱中有充分体现，在犯人与狱管的对话中，狱管大量使用祈使句来行使权力和掌握话语权，这种不平等的权势关系还体现在单向的咒骂语和禁忌语、蔑视称呼语的使用上。犯人作为特殊人群，普遍具有反对管制的态度，因此在他们与狱管的对话中既体现了合作，又体现了隐性和显性的对抗。     

企业战略联盟的历史演进及组建对策

组建技术联盟是企业虚拟经营的重要方式,早期的战略联盟主要是价格联盟和产品联盟.随着知识经济的兴起和以信息技术、网络技术为代表的高科技日新月异,现代新型的战略联盟形式主要是知识联盟,而知识联盟中的关键是技术联盟.本文对企业参加技术联盟时的形式选择、组织结构形式、核心竞争力及对知识的管理四个问题作了系统分析.     

Gender differences in arousal priming effects on humor advertising

Numerous studies have observed arousal and mood effects on ad processing, but no study has examined the ways in which the core arousal effect in humor advertising, which could make or break humor advertising effectiveness, could be boosted or hindered. To address this gap, we investigated arousal priming effects and its influence on humor ad responses, using gender as a moderating variable. Two experimental studies tested the interaction between (a) low and high arousal priming effects and (b) gender on consumer responses to a subsequent humor ad. The results show that men and women responded differently to humor ads presented after low vs. high arousal level primes. A moderated mediation analysis revealed that felt arousal during humor ad exposure was an underlying mechanism. Theoretical and practical implications are discussed.     

Do Weather‐Induced Moods Affect the Processing of Earnings News?

We investigate whether unpleasant environmental conditions affect stock market participants’ responses to information events. We draw from psychology research to develop a new prediction that weather‐induced negative moods reduce market participants’ activity levels. Exploiting geographic variation in equity analysts’ locations, we find compelling evidence that analysts experiencing unpleasant weather are slower or less likely to respond to an earnings announcement relative to analysts responding to the same announcement but experiencing pleasant weather. Price association tests find evidence consistent with reduced activity due to weather‐induced moods delaying equilibrium price adjustments following earnings announcements. We also use our analyst‐based research design to re‐examine an existing prediction that unpleasant weather induces investor pessimism, and find evidence of both analyst pessimism and reduced activity in the presence of unpleasant weather. Together, our study provides new evidence that both extends and reaffirms findings of a relation between unpleasant weather and market activities, and contributes to the broader psychology and economics literature on the impact of weather‐induced mood on labor productivity.     

Impression of Liusanjie: Effect of mood on experience and satisfaction

This paper examines the effect of mood on satisfaction derived from experiencing an iconic and immersive cultural performance in Guilin, China called Impression of Liusanjie using structural equation modeling. Mood, together with visitor expectations and performance evaluations, was found to be significantly related to satisfaction and future intentions to recommend the show to others. Satisfaction was more strongly related to experiential evaluation of the performance than with attribute evaluation. The results indicate that understanding the mood and experiential outcomes for visitors at a performance is important increasing satisfaction and word‐of‐mouth recommendations. Copyright © 2010 John Wiley & Sons, Ltd.     

Mood management through metaverse enhancing life satisfaction

This study aims to explore a social metaverse's positive effects as mood management on consumers' life satisfaction and usage intentions. A total of 304 survey responses from active users of a popular social metaverse platform, Zepeto, were collected with help from an online survey firm. Structural equation modeling analysis was conducted using AMOS 25.0. The direct paths from social metaverse consumption as positive mood enhancement and negative mood alleviation to consumers' life satisfaction were significant, which led to greater usage intentions. Positive mood enhancement influenced usage intentions both directly and indirectly through increased life satisfaction; however, the effect of negative mood alleviation on usage intentions was fully mediated by life satisfaction. Interestingly, for the players who spend money in the social metaverse, only the path from negative mood alleviation to usage intentions mediated by life satisfaction was significant.     

Wikipedia pageviews as investors’ attention indicator for Nasdaq

The attempt to measure investors’ mood to find an early indicator of financial markets has evolved and developed with the advancement of technology over the years. The first attempts were based on surveys, a long and expensive process. Nowadays, big data has made it possible to measure the investor’s mood accurately and almost entirely online. This paper analyzes the explanatory and predictive capacity of Wikipedia pageviews for the Nasdaq index. For this purpose, two econometric models have been developed. In both models, the explanatory variable is the number of Wikipedia visits, and the endogenous variable is Nasdaq index return. As an alternative to this approach, an algorithmic trading system has been developed. It uses Wikipedia visits as investment signals for long and short positions to check the predictability power of this indicator. It is determined that the volume of queries about Nasdaq companies is a statistically significant variable for expressing the evolution of this index. However, it has no predictive capacity. Keeping in mind the capacity of Wikipedia to exemplify Nasdaq trends, further studies should be conducted to determine how to make this indicator profitable.