Antecedents and outcomes of digital influencer endorsement: An exploratory study

The advertising and marketing literature have established that celebrity endorsements constitute an effective way to enhance attitudes toward brands and increase purchase intents. However, there are no relevant studies on digital influencers. This study addresses the research gap by examining the effect of digital influencers' attractiveness and the effect of the congruence between a digital influencer and a brand on consumer attitudes and purchase intentions. By applying structural equation modeling to a sample of 307 followers of digital influencers, a model was tested and group analysis was performed for two categories (“entertainment & video games” and “fashion & beauty”). The results show that both brand attitudes and purchase intentions are influenced by the digital influencer's attractiveness (which includes both likeability and familiarity) and by the congruence between the digital influencer and the brand. This study makes several contributions to both theory and practice, which are highlighted in this paper.     

The sweet smell of advertising: the essence of matching scents with other ad cues

New technologies enable practitioners to communicate scents in advertisements on various media. The current research examines the importance of matching scent cues to the advertised product, and the joint effect of scent and other cues such as colour on consumer responses to advertising. A 4 × 2 experimental design was conducted, where participants (N = 603) were presented with scented colour print advertisements. Three hierarchical responses were measured: emotional response, attitude, and purchase intention. Findings reveal that higher congruence between scent and the advertised product heightens positive consumer response. Furthermore, this research stresses the significant joint effect of scent and colour cues, and supports the incongruence approach, suggesting that combining scents that are poorly congruent with other sensory cues enhance consumer response. Practical and theoretical implications are discussed.     

Local opinions on trophy hunting in Kyrgyzstan

As traditional international trophy hunting destinations are becoming less accessible due to hunting restrictions and regulations, new destinations are entering the scene, such as the Republic of Kyrgyzstan, located in Central Asia. Kyrgyzstan has grown to be one of the top destinations for international trophy hunting of argali Ovis ammon and ibex Capra sibirica, both of which are in danger of extinction. Empirically, the article draws on a case study from the largest region in Kyrgyzstan, At-Bashy, and 395 questionnaires with local inhabitants from 5 villages, and 1 interview with an international trophy hunting tour operator. In this article, the impacts of trophy hunting as a tourism practice in a rural context is discussed in terms of its sustainability and through the opinions of the local inhabitants. In sum, the negative impacts of trophy hunting in At-Bashy seem to overrule the positive ones, and in its current form it is not sustainable. The local inhabitants report about a decrease in argali and ibex during the last years; they receive basically no economic benefits from hunting tourism; and not surprisingly, 70% of the population rejects the further development of the industry in its current shape.     

Time Inhomogeneous Multiple Volatility Modeling

Price variations at speculative markets exhibit positive autocorrelationand cross correlation. Due to large parameter spaces necessaryfor joint modeling of variances and covariances, multivariateparametric volatility models become easily intractable in practice.We propose an adaptive procedure that identifies periods ofsecond-order homogeneity for each moment in time. To overcomethe high dimensionality of the problem we transform the multivariateseries into a set of univariate processes. We discuss thoroughlythe implementation of the adaptive technique. Theoretical andMonte Carlo results are given. We provide two applications ofthe new method. For a bivariate exchange rate series we comparethe multivariate GARCH approach with our method and find thelatter to be more in line with the underlying assumption ofindependently distributed innovations. Analyzing a 23-dimensionalvector of asset returns we underscore the case for adaptivemodeling in high-dimensional systems.     

How Has Rural Tax Reform Affected Farmers and Local Governance in China？

Using nationally representative data, the present paper examines the impact of China's ongoing rural tax reform on farmers. The difficulties in further local governance restructuring are also discussed. It is argued that the issues associated with rural taxation and local governance in China result from inherent tension between an increasingly liberalized economic system and a still centralized political system. Although rural tax reform has helped to reduce farmers' tax burdens in the short term, the establishment of an effective local governance regime requires coordinated reforms to downsize local bureaucracy by providing social security for laid-off cadres, to strengthen local accountability by granting higher local formal tax autonomy, and to promote meaningful participation by expanding local democracy.     

西部地方政府在西部大开发中如何落实科学发展观

坚持以人为本，树立全面、协调、可持续的发展观，是党的十六大提出的促进经济社会和人的全面发展的科学发展观。在西部大开发中，西部地方政府应把社会结构、人类发展与宏观经济作为一个整体来考虑；确立新的开发目标；整合新的扶贫思路；成为为市场服务的主体。     

区域主导产业发展中的地方政府行为研究

地方政府的活动范围应根据市场发挥作用的程度、社会自治的能力加以界定,更好地发挥市场的作用,优化市场经济运行的环境应是政府行为的着眼点。从地方政府官员的意识、赶超愿望、获得新闻界的关注程度等角度探讨地方政府的行为诱导机制,阐明地方政府财政能力、协调能力等方面是导致区域主导产业畸型增长的内因,提出改变地方政府行政模式,是实现地方政府目标与区域主导产业可持续发展的关键所在。     

Awareness of Distributed Denial of Service Attacks' Dangers: Role of Internet Pricing Mechanisms

Denial of Service (DoS) attacks consist of overwhelming a server, a network or a Web site in order to paralyze its normal activity. The additional parameter in Distributed Denial of Service (DdoS) attacks is the distributing strategy. It means that DDoS attacks do not come from a single computer but stem from all accessible channels and servers. Consequences are multiple, ranging from system errors, temporary inability to access the Web site for normal users to challenging the actual reliability of the Internet. Despite this, Internet users show carelessness. The explanation lies in the specificities of DDoS attacks. We explore possibilities to raise users' awareness about the actual amplitude of problems caused by DDoS attacks. We suggest a careful examination of Internet pricing mechanisms and switching from flat to usage-constraining pricing schemes.     

A comparison of several approximations to the power function of the likelihood ratio test in covariance structure analysis*

In this paper we compare alternative asymptotic approximations to the power of the likelihood ratio test used in covariance structure analysis for testing the fit of a model. Alternative expressions for the noncentrality parameter (ncp) lead to different approximations to the power function. It appears that for alternative covariance matrices close to the null hypothesis, the alternative ncp's lead to similar values, while for alternative covariance matrices far from H_o the different expressions for the ncp can conflict substantively. Monte Carlo evidence shows that the ncp proposed in Satorra and Saris (1985) gives the most accurate power approximations.