Viewing advertisements in social networks: the attitude-intention inconsistency revisited

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Cuong Hung Nguyen, H. Nguyen, Theu Kim Doan, Minh Hoang Nguyen, M. Le
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引用次数: 1

Abstract

PurposeThis study provides a framework to explain the attitude–intention gap in viewing advertisements in social networks. Going beyond the literal and evaluative inconsistency issues in measuring factors with theory of planned behavior (TPB), the authors propose and test a theoretical framework with possible moderators to the relationship between the attitude and behavioral intention.Design/methodology/approachTwo surveys were conducted to test the theoretical framework, one with students and the other with working people in Hanoi, Vietnam. After testing measure reliabilities and validities, hypotheses were tested with regressions using SPSS.FindingsIn general, the attitude was still found to have a positive relationship with the behavioral intention. However, the attitude–intention gap still exists as trust in social network was found to moderate the relationship between the attitude and intention with the working people sample while trust in brands advertised facilitate the relationship with the student sample. Interestingly, involvement was not found to moderate the relationship.Practical implicationsSeveral practical implications can be recommended. In general, the marketing strategy for managers is still to develop positive attitude by consumers toward viewing advertisements. However, personalization strategy should be taken with care in advertisement in social network. Providing consumers with perceived privacy control may help enhance the advertisement effectiveness. Finally, building trusts, on or off the social network, should be optimized to increase the users' intention to view advertisements in social network.Originality/valueThis research offers a new explanation for the attitude–intention inconsistency in general and for viewing advertisements in social networks in particular. Going beyond the measurement issues, the research suggests looking at the process under that the attitude can be formed and activated to impact on the intention. Moreover, mixed findings from two comparable samples provide nuanced insights for different groups of consumers.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0563.
在社交网络中观看广告:态度-意向不一致的再考察
目的本研究提供了一个解释社交网络中观看广告的态度-意向差异的框架。针对计划行为理论(TPB)在测量因素时存在的字面上和评价上的不一致问题,作者提出并检验了态度与行为意向之间关系的理论框架和可能的调节因素。设计/方法/方法进行了两次调查来测试理论框架,一次是针对学生,另一次是针对越南河内的劳动人民。在测量信度和效度检验后,使用SPSS进行回归检验。总体而言,态度与行为意向仍存在正相关关系。然而,态度-意向的差距仍然存在,因为我们发现社会网络的信任调节了工作人群样本的态度和意向的关系,而品牌广告的信任促进了学生样本的态度和意向的关系。有趣的是,参与并没有缓和这种关系。实际意义可以提出几个实际意义。总的来说,管理者的营销策略仍然是培养消费者对观看广告的积极态度。然而,在社交网络广告中,应注意个性化策略。为消费者提供感知到的隐私控制可能有助于提高广告效果。最后,优化社交网络内外的信任建设,提高用户在社交网络中观看广告的意愿。原创性/价值本研究为一般的态度-意图不一致,特别是在社交网络中观看广告提供了新的解释。除了测量问题之外,研究建议关注态度形成和激活以影响意图的过程。此外,来自两个可比较样本的混合结果为不同的消费者群体提供了微妙的见解。同行评议本文的同行评议历史可在:https://publons.com/publon/10.1108/OIR-10-2021-0563。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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