Contents |
Authors:
Ludovit Nastisin, ORCID: https://orcid.org/0000-0002-4403-7580 Associate Professor, Ph.D., University of Presov, Slovakia Peter Korba, ORCID: https://orcid.org/0000-0003-2427-595X Associate Professor, Ph.D., Technical university of Košice, Slovakia Oliver Pisar, ORCID: https://orcid.org/0000-0001-6930-369X Technical University of Kosice, Slovakia
Pages: 164-172
Language: English
DOI: https://doi.org/10.21272/mmi.2022.4-15
Received: 20.09.2022
Accepted: 15.12.2022
Published: 30.12.2022
Download: |
Views: |
Downloads: |
|
|
|
Abstract
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.
Keywords: activities, brand, consumer, Instagram, motivation, social network.
JEL Classification: M31, M40.
Cite as: Nastisin, L., Korba, P., & Pisar, O (2022). Consumer’s Online Brand-Related Activities on the Social Network Instagram: An Analytical View of the Motivation for These Activities Marketing and Management of Innovations, 4, 164-172. https://doi.org/10.21272/mmi.2022.4-15
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]
- Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of computer‐mediated Communication, 13(1), 210-230. [Google Scholar] [CrossRef]
- Brodie, Roderick J., et al. “Consumer Engagement in a Virtual Brand Community: An Exploratory Analysis.” Journal of Business Research, vol. 66, no. 1, 2013, pp. 105–14. [CrossRef]
- Buzeta, C., De Pelsmacker, P., & Dens, N. (2020). Motivations to use different social media types and their impact on consumers’ online brand-related activities (COBRAs). Journal of Interactive Marketing, 52, 79-98. [Google Scholar] [CrossRef]
- Cheung, C. M., Chiu, P. Y., & Lee, M. K. (2011). Online social networks: Why do students use facebook?. Computers in human behavior, 27(4), 1337-1343. [Google Scholar] [CrossRef]
- Chung, C., & Austria, K. P. (2012). Attitudes toward product messages on social media: An examination of online shopping perspectives among young consumers. International Journal of E-Services and Mobile Applications (IJESMA), 4(4), 1-14. [Google Scholar] [CrossRef]
- Davis, R., Piven, I., & Breazeale, M. (2014). Conceptualizing the brand in social media community: The five sources model. Journal of Retailing and consumer services, 21(4), 468-481. [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(6), 495-515. [Google Scholar] [CrossRef]
- Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer participation in network-and small-group-based virtual communities. International journal of research in marketing, 21(3), 241-263. [Google Scholar] [CrossRef]
- Dolan, R., Conduit, J., Fahy, J., & Goodman, S. (2016). Social media engagement behaviour: a uses and gratifications perspective. Journal of strategic marketing, 24(3-4), 261-277. [Google Scholar] [CrossRef]
- Fuller, J., Bartl, M., Ernst, H., & Muhlbacher, H. (2006). Community based innovation: How to integrate members of virtual communities into new product development. Electronic commerce research, 6(1), 57-73. [Google Scholar] [CrossRef]
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. [Google Scholar] [CrossRef]
- Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet?. Journal of interactive marketing, 18(1), 38-52. [Google Scholar] [CrossRef]
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. (2010). Multivariate Data Analysis: Pearson Education. Upper Saddle River, New Jersey. [Google Scholar]
- Jahn, B., & Kunz, W. (2012). How to transform consumers into fans of your brand. Journal of Service Management, 23(3), 344-361. [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]
- Ko, H., Cho, C. H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of advertising, 34(2), 57-70. [Google Scholar] [CrossRef]
- Lajčin, D., Sláviková, G., Frankovský, M., & Birknerová, Z. (2014). Social intelligence as a significant predictor of managerial behaviour. Economics journal, 6, 646-660. [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]
- Leung, L. (2013). Generational differences in content generation in social media: The roles of the gratifications sought and of narcissism. Computers in human behavior, 29(3), 997-1006. [Google Scholar] [CrossRef]
- Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in human behavior, 27(3), 1152-1161. [Google Scholar] [CrossRef]
- Luarn, P., Lin, Y. F., & Chiu, Y. P. (2015). Influence of Facebook brand-page posts on online engagement. Online Information Review, 39(4), 1-16. [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, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & behavior, 12(6), 729-733. [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]
- Pletikosa Cvijikj, I., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social network analysis and mining, 3(4), 843-861. [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]
- Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology & behavior, 11(2), 169-174. [Google Scholar] [CrossRef]
- Schivinski, B. (2021). Eliciting brand-related social media engagement: A conditional inference tree framework. Journal of Business Research, 130, 594-602. [Google Scholar] [CrossRef]
- Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the Internet. Decision sciences, 35(2), 259-288. [Google Scholar] [CrossRef]
- Stefko, R., Bacik, R., Fedorko, R., Gavurova, B., Horvath, J., & Propper, M. (2017). Gender differences in the case of work satisfaction and motivation. Polish Journal of Management Studies, 16. [Google Scholar] [CrossRef]
- Stefko, R., Dorcák, P., & Pollák, F. (2011). Shopping on the internet from the point of view of customers. Polish Journal of Management Studies, 4, 214-222. [Google Scholar]
- Taylor, D. G., Lewin, J. E., & Strutton, D. (2011). Friends, fans, and followers: do ads work on social networks?: how gender and age shape receptivity. Journal of advertising research, 51(1), 258-275. [Google Scholar] [CrossRef]
- Ulusu, Y. D. D. Y. (2010). Determinant factors of time spent on Facebook: Brand community engagement and usage types. Yaşar Universitesi E-Dergisi, 5(18), 2949-2957. [Google Scholar]
|