Contents |
Authors:
Ludovit Nastisin, ORCID: https://orcid.org/0000-0002-4403-7580 Ph.D., Associate Professor, University of Presov, Slovakia Kvetoslav Kmec, Technical University of Kosice, Slovakia Stefan Kral, ORCID: https://orcid.org/0000-0002-0584-3934 University of Presov, Slovakia
Pages: 44-50
Language: English
DOI: https://doi.org/10.21272/mmi.2023.2-05
Received: 12.12.2022
Accepted: 20.05.2023
Published: 30.06.2023
Download: |
Views: |
Downloads: |
|
|
|
Abstract
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.
Keywords: Instagram, Consumer, Brand-related Activities, Word of Mouth, analysis.
JEL Classification: M31, M39, M19.
Cite as: Nastisin, L., Kmec, K., & Kral, S. (2023). Consumer’s Online Brand-Related Activities in Instagram and their Impact on Word-of-Mouth. Marketing and Management of Innovations, 14(2), 44-50. https://doi.org/10.21272/mmi.2023.2-05
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Ashley, C., & Tuten, T. (2015). Creative strategies in social media marketing: An exploratory study of branded social content and consumer engagement. Psychology & marketing, 32(1), 15-27. [Google Scholar] [CrossRef]
- De Vries, N. J., & Carlson, J. (2014). Examining the drivers and brand performance implications of customer engagement with brands in the social media environment. Journal of Brand Management, 21, 495-515. [Google Scholar] [CrossRef]
- Frazier, M. L., Fainshmidt, S., Klinger, R. L., Pezeshkan, A., & Vracheva, V. (2017). Psychological safety: A meta‐analytic review and extension. Personnel psychology, 70(1), 113-165. [Google Scholar] [CrossRef]
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multivariate data analysis: Pearson new international edition PDF eBook. Pearson Higher Ed. [Google Scholar]
- Jahn, B., & Kunz, W. (2012). How to transform consumers into fans of your brand. Journal of Service Management. [Google Scholar] [CrossRef]
- Jencova, S., Stefko, R., Vasanicova, P., Petruska, I., & Juskova, M. (2019). Evaluating the Competitiveness of Non-financial Corporations by Modeling Sales. Montenegrin Journal of Economics, 15(4), 45-58. [Google Scholar]
- Jurásek, M., Petrů, N., Caha, Z., & Belas Jr, J. (2021). Values of family businesses in Czech Republic in the context of socioemotional wealth. Economics & Sociology, 14(2), 184-208. [Google Scholar] [CrossRef]
- Kang, J., Tang, L., & Fiore, A. M. (2014). Enhancing consumer–brand relationships on restaurant Facebook fan pages: Maximizing consumer benefits and increasing active participation. International Journal of Hospitality Management, 36, 145-155. [Google Scholar] [CrossRef]
- Kostiukevych, R., Bilan, Y., Mishchuk, H., Sułkowska, J., & Kostiukevych, A. (2020). Possibilities of Integration of Strategic and Project Management in The Supporting System of Small and Medium-Sized Businesses at Local and Regional Levels. Proceedings of the 35th International Business Information Management Association (IBIMA), 1-12. ISBN: 978-0-9998551-4-0. [Google Scholar]
- Lamberton, C., & Stephen, A. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of marketing, 80(6), 146-172. [Google Scholar] [CrossRef]
- Latan, H., Noonan, R., & Matthews, L. (2017). Partial least squares path modeling. Partial least squares path modeling: basic concepts, methodological issues and applications. [Google Scholar] [CrossRef]
- Lukacova, M., Korecko, J., Jencova, S., & Juskova, M. (2020). Analysis of selected indicators of tax competition and tax harmonization in the EU. Entrepreneurship and Sustainability Issues, 8(1), 123. [Google Scholar] [CrossRef]
- Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of advertising, 30(1), 13-46. [Google Scholar] [CrossRef]
- Park, J., Chenghui, X., & Kim, R. B. (2022). The effect of brand credibility on search and credence goods: A cross-country analysis of Korea, China & France. Journal of International Studies, 15(2). [Google Scholar] [CrossRef]
- Piehler, R., Schade, M., Kleine-Kalmer, B., & Burmann, C. (2019). Consumers’ online brand-related activities (COBRAs) on SNS brand pages: An investigation of consuming, contributing and creating behaviours of SNS brand page followers. European Journal of Marketing, 53(9), 1833-1853. [Google Scholar] [CrossRef]
- Poyry, E., Parvinen, P., & Malmivaara, T. (2013). Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage. Electronic Commerce Research and Applications, 12(4), 224-235. [Google Scholar] [CrossRef]
- Sanchez, G. (2013). PLS path modeling with R. Berkeley: Trowchez Editions, 383(2013), 551. [Google Scholar]
- Schivinski, B. (2021). Eliciting brand-related social media engagement: A conditional inference tree framework. Journal of Business Research, 130, 594-602. [Google Scholar] [CrossRef]
- Sojka, L., & Svetozarovová, N. (2016). An analytical view of performance evaluation in telecommunication sector. European Journal of Science and Theology, 3(1), 255-263. [Google Scholar]
|