Browsing by Author "Wang, H."

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    Consideration for future consequences as an antecedent of transformational leadership behavior: The moderating effects of perceived dynamic work environment
    (Elsevier, 2014-04-02) Zhanga, W.; Wang, H.; Pearce, Craig Lewis; Business Administration; PEARCE, Craig Lewis
    Based on construal level theory and trait activation theory, we examined the effect of consideration of future consequences (CFC) on transformational leadership behavior and leadership effectiveness, as well as the potential moderating effects of perceived dynamic work environment in the relationship. The results showed that: (a) CFC is positively related to both transformational leadership and leadership effectiveness; (b) perceived dynamic work environment moderates the relationship between CFC and transformational leadership—specifically, the effect of CFC on transformational leadership is stronger under low perceived dynamic work environment; and (c) the effect of CFC on leader effectiveness is fully mediated by transformational leadership behavior under low versus high perceived dynamic work environment. Limitations and future research directions are also discussed.
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    EditorialPublicationOpen Access
    Guest editorial trustworthiness in social multimedia analytics and delivery
    (IEEE, 2019-03) Su, Z.; Fang, Q.; Wang, H.; Mehrotra, S.; Beğen, Ali Cengiz; Ye, Q.; Cavallaro, A.; Computer Science; BEĞEN, Ali Cengiz
    The papers in this special issue focus on trustworthiness in multimedia communications. Recently, social multimedia content is being delivered to users with a high quality of experience (QoE) with the advance of multimedia technologies and social networks. However, as a huge amount of social users have various demands to exchange and share multimedia content with each other, it becomes a new challenge for the current social multimedia analytics and delivery to deal with the various attacks perpetrated by malicious users or through spam contents. Therefore, the trust and risk management for social multimedia content based on the social tie of users become of prime importance to face the unpredicted threats and subsequent damage. This Special Section aims to provide a premier forum for researchers working on the trust-based social multimedia analytics and delivery. It also provides the opportunity for both academic and industrial researchers to discuss recent results and provide solutions to the above-mentioned challenges.