消费者在Instagram上的在线品牌相关活动及其对口碑的影响

IF 1.2 Q4 MANAGEMENT Marketing and Management of Innovations Pub Date : 2023-01-01 DOI:10.21272/mmi.2023.2-05
Ľ. Nastišin, Kvetoslav Kmec, Stefan Kral
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引用次数: 0

摘要

关于口碑营销的cobra的全面审查尚未充分进行。品牌需要知道这些活动是否也会对品牌产生线下影响,即以口碑的形式。从品牌管理的角度来看,区分相关和不相关的活动对于成本效益管理和追求其既定目标是很重要的。本文旨在研究消费者在线品牌相关活动的后果,以及口碑营销,在Instagram社交网络的设置。Instagram目前是在数字领域促进品牌增长的一个非常有效的媒介。该数据集包括在2021年上半年收集的335份标准化问卷。根据文献和研究现状,结合研究问题,提出一个统计假设进行分析。该研究的重点是确定某些消费者的在线品牌相关活动是否对品牌的口碑有统计上的显著影响。提出的问题的统计检验利用验证性因子分析(CFA)采用最大似然估计(ML)以及偏最小二乘路径建模(PLS PM)。选择这种方法是基于这样一个事实,即这些项目不会干扰工具中因素的内部结构,它捕获了关于社交网络上品牌相关活动的态度和看法的特定方面。研究结果显示,消费者在线品牌相关活动对品牌口碑的影响有两个显著的统计学意义,其中内容消费和内容创造对品牌口碑的影响在0.05的显著水平上。参考现有文献和正在进行的研究,在结论讨论部分检查了这一发现的背景和潜在后果。
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Consumer’s Online Brand-Related Activities in Instagram and their Impact on Word-of-Mouth
A comprehensive examination of COBRAs concerning word-of-mouth marketing has yet to be fully conducted. A brand needs to know whether such activities can also entail offline consequences for the brand, i.e. in the form of word of mouth. The distinction between relevant and irrelevant activities is important from the brand’s managerial point of view for cost-effective management and the pursuit of its stated goals. The paper intends to examine the consequences of consumers’ online brand-related activities, along with word-of-mouth marketing, in the setting of the Instagram social network. Instagram is currently a highly effective medium for fostering brand growth in the digital sphere. The dataset comprises 335 standardised questionnaires amassed in the first half of 2021. Based on the current state of the literature and research, together with the research question, one statistical hypothesis was formulated for analysis. The study focused on determining whether certain consumers’ online brand-related activities had a statistically significant effect on word-of-mouth about the brand. The statistical examination of the presented issue made use of Confirmatory Factor Analysis (CFA) employing Maximum Likelihood Estimation (ML) as well as Partial Least Square – Path Modeling (PLS PM). This method was selected based on the fact that the items do not interfere with the internal structure of factors in the instrument, which captures specific aspects of attitudes and perceptions regarding brand-related activities on social networks. The findings revealed that consumers’ online brand-related activities exert two statistically significant effects on brand word-of-mouth, specifically concerning content consumption and content creation, at a 0.05 significance level. The context and potential consequences of this discovery are examined in the concluding discussion section, with reference to existing literature and ongoing research.
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