消费者在社交网络Instagram上的在线品牌相关活动:对这些活动动机的分析

IF 1.2 Q4 MANAGEMENT
Ľ. Nastišin, P. Korba, Oliver Pisar
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引用次数: 0

摘要

对消费者在线品牌相关活动进行分类的方法(COBRA)是市场研究中一个相对较新的发现。基于此,有必要进一步探讨相关问题。其中之一是cobra与这些活动的消费者动机之间的关系联系。通过本研究,本研究旨在评估消费者在社交网络平台Instagram上与品牌相关内容活动的所有三个层次相关的在线品牌相关活动动机关系轨迹的统计显著性。这些动机源于使用和满足理论。分析活动的三个层次是最新的综合分类。该研究数据库由335份在线问卷的回复组成。数据收集工作于2021年上半年进行。使用验证性因子分析和PLS PM(偏最小二乘路径建模)方程分析原始数据,而使用平均方差提取度量和复合信度来描述进入分析的潜在变量的适用性。为了进行分析,我们提出了4个研究假设,处理12个关系的部分轨迹,其中只有3个轨迹不具有统计显著性。然而,每个动机至少有一个重要的轨迹被确定,使我们能够确认所有制定的假设。分析的结果支持了对消费者在线品牌相关活动的所有调查动机存在统计显著影响的说法。获得的结果还表明,社会互动是最强的激励因素。作者在一个单独的章节中讨论了潜在的驱动因素和对理论和实践的影响,并与现有的相关研究进行了比较。本研究最重要的贡献被认为是确认了探索性的发现,这些发现将COBRA活动和动机联系在一个尚未被分析的尺度上(我们指的是3个级别的活动和4个类别的动机)。这构成了本次调查的基础,所获得的结果是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer’s Online Brand-Related Activities on the Social Network Instagram: An Analytical View of the Motivation for These Activities
The method of categorizing consumers’ online brand-related activities (COBRA) is a relatively recent finding in marketing research. Based on this, there is a need for further exploration of a related issue. One of these is the relational link between COBRAs and consumer motivations for these activities. With this research, this study aims to assess the statistical significance of such trajectories of relationships of the motivations on consumers’ online brand-related activities related to all three levels of brand-related content activities in terms of the social network platform Instagram. These motivations have origins in the uses and gratification theory. Three levels of analyzed activities are the most recent comprehensive classification. The research database was made up of responses from 335 online questionnaires. The collection of data was carried out in the 1st half of 2021. Primary data were analyzed using confirmatory factor analysis and PLS PM (Partial least squares path modelling) equations, while average variance extracted metric and composite reliability were used to describe the suitability of the latent variables that entered the analysis. For the analysis, four research hypotheses were formulated dealing with 12 partial trajectories of relationships, of which only three trajectories were not statistically significant. However, at least one significant trajectory was identified for each motivation, allowing us to confirm all formulated hypotheses. The findings of the analysis supported the claims of the existence of statistically significant effects for all the motivations investigated against consumers’ online brand-related activities. The obtained results also identified social interaction as the strongest motivator. The authors discussed the potential drivers and implications for theory and practice in a separate section, comparing with existing related research. The most significant contribution of this research is considered to be the confirmation of the exploratory findings that link COBRA activities and motivations on a scale that has not yet been analyzed (by this we mean 3 levels of activity and 4 categories of motivation). This formed the basis for this investigation, and the results obtained are in agreement.
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