132,766 research outputs found

    Fuzzy Group Decision Making for Influence-Aware Recommendations

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Group Recommender Systems are special kinds of Recommender Systems aimed at suggesting items to groups rather than individuals taking into account, at the same time, the preferences of all (or the majority of) members. Most existing models build recommendations for a group by aggregating the preferences for their members without taking into account social aspects like user personality and interpersonal trust, which are capable of affecting the item selection process during interactions. To consider such important factors, we propose in this paper a novel approach to group recommendations based on fuzzy influence-aware models for Group Decision Making. The proposed model calculates the influence strength between group members from the available information on their interpersonal trust and personality traits (possibly estimated from social networks). The estimated influence network is then used to complete and evolve the preferences of group members, initially calculated with standard recommendation algorithms, toward a shared set of group recommendations, simulating in this way the effects of influence on opinion change during social interactions. The proposed model has been experimented and compared with related works

    WHAT AFFECTS THE ADVERTISING SHARING BEHAVIOR AMONG MOBILE SNS USERS? THE RELATIONSHIPS BETWEEN SOCIAL CAPITAL, OUTCOME EXPECTATIONS AND PREVENTION PRIDE

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    Mobile networks practice of social networking service that gives individuals an easy way to exchange messages and ideas with others base on interpersonal relationships. However, why individuals spread advertisements in their social circles through mobile applications is not well understood: is this the result of environment impact or the result of individual characteristics? To tackle this problem, we apply social capital theory to examine how social capital influence advertising recommendation quality and advertising sharing behavior in mobile networks. And, we also use social cognitive theory and regulatory focus theory to investigate the motivations behind people\u27s advertising sharing behavioral in mobile networks. Data collected from 319 mobile social networking users provide support for the proposed model. The analysis of the sample shows that the social capital and outcome expectations are significant indicators of individual’s ad-sharing behavior in the mobile SNS environment. Moreover, the prevention pride has an obvious interaction influence on the perception and behavior of M-ad sharing. Implications for research and practice are discussed

    Network Triads: Transitivity, Referral and Venture Capital Decisions in China and Russia

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    This article examines effects of dyadic ties and interpersonal trust on referrals and investment decisions of venture capitalists in the Chinese and Russian contexts. The study uses the postulate of transitivity of social network theory as a conceptual framework. The findings reveal that referee-venture capitalist tie, referee-entrepreneur tie, and interpersonal trust between referee and venture capitalist have positive effects on referrals and investment decisions of venture capitalists. The institutional, social and cultural differences between China and Russia have minimal effects on referrals. Interpersonal trust has positive effects on investment decisions in Russia.http://deepblue.lib.umich.edu/bitstream/2027.42/40138/3/wp752.pd

    Comparative social capital: Networks of entrepreneurs and investors in China and Russia

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    Most studies on entrepreneurs’ networks incorporate social capital and networks as independent variables that affect entrepreneurs’ actions and its outcomes. By contrast, this article examines social capital of the Chinese and Russian entrepreneurs and venture capitalists as dependent variables, and it examines entrepreneurs’ social capital from the perspectives of institutional theory and cultural theory. The empirical data are composed of structured telephone interviews with 159 software entrepreneurs, and the data of 124 venture capital decisions in Beijing and Moscow. The study found that social networks of the Chinese entrepreneurs are smaller in size, denser in structure, and more homogeneous in composition compared to networks of the Russian entrepreneurs due to the institutional and cultural differences between the two countries. Furthermore, the study revealed that dyadic (two-person) ties are stronger and interpersonal trust is greater in China than in Russia. The research and practical implications are discussed.http://deepblue.lib.umich.edu/bitstream/2027.42/40169/3/wp783.pd

    Interpretation of Interpersonal Utility Comparisons: Positive, Normative or Descriptive

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    While interpersonal utility comparisons are indispensable to the determination of utility maxima, their interpretation as either normative or positive produces awkward conclusions. This paper alternatively reinterprets interpersonal utility comparisons as descriptive and value-laden rather than as either normative or positive. On this basis they are characterized as functional concepts, and are thus argued to be objective. This treatment suggests that it is possible to derive evaluative statements from descriptive ones, contrary to the usual view of the is-ought problem. Recent philosophy of language results are employed to support these views

    Interpersonal Relationships Moderate the Effect of Faces on Person Judgments

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    Previous research suggests that people form impressions of others based on their facial appearance in a very fast and automatic manner, and this especially holds for trustworthiness. However, as yet, this process has been investigated mostly in a social vacuum without taking interpersonal factors into account. In the current research, we demonstrate that both the relationship context that is salient at the moment of an interaction and the performed behavior, are important moderators of the impact of facial cues on impression formation. It is shown that, when the behavior of a person we encounter is ambiguous in terms of trustworthiness, the relationship most salient at that moment is of crucial impact on whether and how we incorporate facial cues communicating (un)trustworthiness in our final evaluations. Ironically, this can result in less positive evaluations of interaction partners with a trustworthy face compared to interaction partners with an untrustworthy face. Implications for research on facial characteristics, trust, and relationship theories are discussed.trust;facial characteristics;person perception;relationship norms;word-of-mouth

    The influence of emotions on trust in ethical decision making

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    This paper attempts to delineate the interaction between trust, emotion, and ethical decision making. The authors first propose that trust can either incite an individual toward ethical decisions or drag him or her away from ethical decisions, depending on different situations. The authors then postulate that the feeling of guilt is central in understanding how trust affects the ethical decision making process. Several propositions based on these assumptions are introduced and implications for practice discussed
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