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A Fuzzy-set Qualitative Comparative Analysis of Native Ads in WeChat Moment

机译:微信矩中原生广告的模糊集定性比较分析

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Currently, a growing number of enterprises are delivering native Ads on social media, yet the Ads experiences are not as good as expected, on which there are very few studies reported previously to perform theoretical and systematic analysis. To resolve the aforementioned issue and fill the theoretical gap, in this study, through fuzzy-set qualitative comparative analysis (fsQCA), an empirical study on WeChat Moment was performed to identify the combination of conditions that brings brilliant Ads experiences, verify the relationships of complementation, substitution and inhibition among multiple conditions, and provide guidance to enterprises on creating ad-delivery strategies with improved brand experiences, based on the features of Wechat platform (perceived precision, perceived interactivity and perceived intrusiveness) and self-concept congruence. In this study, the current Ads experience theories are theoretically enriched and developed, and QCA applications in journalism & communications and advertising are expanded; Practical suggestions regarding enterprises' native ads delivery strategies in Wechat moment are given.
机译:当前,越来越多的企业在社交媒体上投放本地广告,但是广告体验却不如预期的那样,以前很少有报道对这些广告进行过理论和系统的分析。为了解决上述问题并填补理论空白,在本研究中,通过模糊集定性比较分析(fsQCA),对微信片刻进行了实证研究,确定了带来出色广告体验的条件组合,验证了基于微信平台的功能(感知的准确性,感知的交互性和感知的侵入性)和自我概念的一致性,在多种情况下进行补充,替代和抑制,并为企业提供指导,以创建具有更好品牌体验的广告投放策略。在这项研究中,从理论上丰富和发展了当前的广告体验理论,并扩展了QCA在新闻通讯和广告中的应用;给出了有关企业在微信中的本机广告投放策略的实用建议。

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