Perceptions of Personalization in Company-consumer Interactions on Social Network: Experiment Conducted in the Czech Republic
dc.contributor.author | Eger, Ludvík | |
dc.contributor.author | Komárková, Lenka | |
dc.contributor.author | Zákružná, Veronika | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2021-06-04T08:54:58Z | |
dc.date.available | 2021-06-04T08:54:58Z | |
dc.description.abstract | Social media has revolutionized the way in which organizations communicate with their customers and stakeholders. Therefore, understanding the characteristics that influence the interactivity and the relationship between an organization and its page visitors is essential for the capability of an organization ability to respond to the current and potential customers on social networking sites in an appropriate manner. The research investigates how companies using brand communities on Facebook influence consumers’ intention to purchase through online interactivity, responsiveness, and personalization. In an online experiment, participants viewed selected records of communication with customers from companies on Facebook pages that differed as to whether and how specifically the companies responded to their consumers. The results were obtained using mediation analyses. These indicate that perceptions of company responsiveness and personalization, based on existing consumer interactions on a Facebook page, influence how participants rated the company, the quality of their own potential company interactions, and the likelihood of them purchasing products from the company in future. The findings of this research also support the assertion that social media has an impact on brand communities as a platform on which consumers interact. Additionally, eye tracking was used to collect data about customers’ activities that assist in understanding how people acquire information from web pages. The research provides a better understanding of which distinct components of a message meaningfully influence perceptions of interactivity. The findings show that marketers should focus on customer complaints as this component of the messages on social media influences the viewer’s visual search. To test other cultural contexts and for further validation of identified relationships, future research could be conducted globally. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/001/2021-2-010 | |
dc.identifier.eissn | 2336-5604 | |
dc.identifier.issn | 1212-3609 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/160025 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | Alalwan, A. A., Rana, N., Dwivedi, K., Y., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190. https://doi.org/10.1016/j.tele.2017.05.008 | |
dc.relation.isbasedon | Alsufyan, K. N., & Aloud, M. (2017). The state of social media engagement in Saudi universities. Journal of Applied Research in Higher Education, 9(2), 267–303. https://doi.org/10.1108/JARHE-01-2016-0001 | |
dc.relation.isbasedon | Bryman, A. (2012). Social Research Methods (4th ed.). Oxford: Oxford University Press. | |
dc.relation.isbasedon | Cheng, X., Fu, S., & De Vreede, G-J. (2017). Understanding Trust Influencing Factors in Social Media Communication: A Qualitative Study. International Journal of Information Management, 37(2), 25–35. https://doi.org/10.1016/j.ijinfomgt.2016.11.009 | |
dc.relation.isbasedon | Chu, K. M., & Yuan, B. J. (2013). The effects of perceived interactivity on e-trust and e-consumer behaviors: The application of fuzzy linguistic scale. Journal of Electronic Commerce Research, 14(1), 124–136. | |
dc.relation.isbasedon | Coelho, P. S., Rita, P., & Santos, Z. R. (2018). On the relationship between consumer-brand identification, brand community, and brand loyalty. Journal of Retailing and Consumer Services, 43, 101–110. https://doi.org/10.1016/j.jretconser.2018.03.01 | |
dc.relation.isbasedon | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: SAGE Publications. | |
dc.relation.isbasedon | Cvijikj, I. P., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4), 843–861. https://doi.org/10.1007/s13278-013-0098-8 | |
dc.relation.isbasedon | DESI. (2020). The Digital Economy and Society Index. Retrieved September 1, 2020, from https://ec.europa.eu/digital-single-market/en/desi | |
dc.relation.isbasedon | De Vierman, M., Cauberghe, V., Hudders, L., & De Pelsmacker, P. (2017). Consumers’ motivations for lurking and posting in brand communities on social networking sites. In S. Rodgers, & E. Thorson (Eds.), Digital Advertising: Theory and Research (3rd ed.) (pp. 207–221). New York, NY: Routledge. https://doi.org/10.4324/9781315623252-12 | |
dc.relation.isbasedon | Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations. Journal of Marketing Research, 28(3), 307–319. https://doi.org/10.1177/002224379102800305 | |
dc.relation.isbasedon | Duchowski, A. T. (2017). Eye Tracking Methodology (3rd ed.). Cham: Springer. https://doi.org/10.1007/978-3-319-57883-5 | |
dc.relation.isbasedon | Einwiller, S. A., & Steinlen, S. (2015). Handling complaints on social network sites – An analysis of complaints and complaint responses on Facebook and Twitter pages of large US companies. Public Relations Review, 41(2), 195–204. https://doi.org/10.1016/j.pubrev.2014.11.012 | |
dc.relation.isbasedon | Eurostat. (2020a). Social media – statistics on the use by enterprises. Retrieved September 1, 2020, from https://ec.europa.eu/eurostat/statistics-explained/index.php/Social_media_-_statistics_on_the_use_by_enterprises | |
dc.relation.isbasedon | Eurostat. (2020b). Individuals using the internet for participating in social networks. Retrieved September 1, 2020, from https://ec.europa.eu/eurostat/en/web/products-datasets/-/TIN00127 | |
dc.relation.isbasedon | Frunzaru, V., & Boțan, M. (2015). Social Networking Websites Usage and Life Satisfaction: A Study of Materialist Values Shared by Facebook Users. Romanian Journal of Communication and Public Relations, 17(2), 43–50. https://doi.org/10.21018/rjcpr.2015.2.24 | |
dc.relation.isbasedon | Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York, NY: Guilford Publications. | |
dc.relation.isbasedon | Hudson, S., Huang, L., Roth, M. S., & Madden, T. J. (2016). The influence of social media interactions on consumer–brand relationships: A three-country study of brand perceptions and marketing behaviors. International Journal of Research in Marketing, 33(1), 27–41. https://doi.org/10.1016/j.ijresmar.2015.06.004 | |
dc.relation.isbasedon | Internet World Stats. (2020). Usage and Population Statistics. Retrieved June 30, 2020, from https://www.internetworldstats.com/ | |
dc.relation.isbasedon | Jacobson, J., Gruzd, A., & Hernándéz-García, Á. (2020). Social media marketing: Who is watching the watchers? Journal of Retailing and Consumer Services, 53, 101774. https://doi.org/10.1016/j.jretconser.2019.03.001 | |
dc.relation.isbasedon | Kelleher, T., & Miller, B. (2006). Organizational Blogs and the Human Voice: Relational Strategies and Relational Outcomes. Journal of Computer-Mediated Communication, 11(2), 395–414. https://doi.org/10.1111/j.1083-6101.2006.00019.x | |
dc.relation.isbasedon | Kirk, C. P., & Rifkin, L. S. (2020). I’ll trade you diamonds for toilet paper: Consumer reacting, coping and adapting behaviors in the COVID-19 pandemic. Journal of Business Research, 117, 124–131. https://doi.org/10.1016/j.jbusres.2020.05.028 | |
dc.relation.isbasedon | Kim, C., & Yang, S-U. (2017). Like, comment, and share on Facebook: How each behaviour differs from other. Public Relations Review, 43(2), 441–449. https://doi.org/10.1016/j.pubrev.2017.02.006 | |
dc.relation.isbasedon | Lee, T. (2005). The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce. Journal of Electronic Commerce Research, 6(3), 165–180. | |
dc.relation.isbasedon | Li, C. (2016). When does web-based personalization really work? The distinction between actual personalization and perceived personalization. Computers in Human Behavior, 54, 25–33. https://doi.org/10.1016/j.chb.2015.07.049 | |
dc.relation.isbasedon | Luan, J., Yao, Z., Zhao, F., & Liu, H. (2016). Search product and experience product online reviews: An eye-tracking study on consumers’ review search behavior. Computers in Human Behavior, 65, 420–430. https://doi.org/10.1016/j.chb.2016.08.037 | |
dc.relation.isbasedon | Mangold International. (2020). MangoldVision: Professional Eye Tracking Software and Hardware. Retrieved September 1, 2020, from https://www.mangold-international.com/en/products/software/eye-tracking-software-mangold-vision | |
dc.relation.isbasedon | Mičík, M., & Kunešová, H. (2021). Using an eye tracker to optimise career websites as communication channel with Generation Y. Economic Research – Ekonomska Istraživanja, 34(1), 66–89. https://doi.org/10.1080/1331677X.2020.1798264 | |
dc.relation.isbasedon | Munch, J. M., & Swasy, J. L. (1988). Rhetorical Question, Summarization Frequency, and Argument Strength Effects on Recall. Journal of Consumer Research, 15(1), 69–76. https://doi.org/10.1086/209146 | |
dc.relation.isbasedon | Mutinga, G. D., Moorman, M., Verlegh, P. W. J., & Smit, E. G. (2017). Who Creates Brand-related Content, and Why? The Interplay of Consumer Characteristics and Motivations. In S. Rodgers, & E. Thorson (Eds.), Digital Advertising: Theory and Research (3rd ed.) (pp. 259–282). New York, NY: Routledge. https://doi.org/10.4324/9781315623252 | |
dc.relation.isbasedon | Nisiforou, A. E., & Laghos, A. (2013). Do the eyes have it? Using eye tracking to assess students cognitive dimensions. Educational Media International, 50(4), 247–265. https://doi.org/10.1080/09523987.2013.862363 | |
dc.relation.isbasedon | Noar, S. M., Harrington, N. G., & Aldrich, R. S. (2009). The Role of Message Tailoring in the Development of Persuasive Health Communication Messages. Annals of the International Communication Association, 33(1), 73–133. https://doi.org/10.1080/23808985.2009.11679085 | |
dc.relation.isbasedon | Novotná, J. (2018). Exploring Customer Loyalty to Fashion Brands on Facebook Fan Pages. E&M Economics and Management, 21(1), 206–223. https://doi.org/10.15240/tul/001/2018-1-014 | |
dc.relation.isbasedon | Pernice, K., & Nielsen, J. (2009). How to Conduct Eyetracking Studies. Fremon, CA: Nielsen Norman Group. Retrieved September 1, 2020, from https://media.nngroup.com/media/reports/free/How_to_Conduct_Eyetracking_Studies.pdf | |
dc.relation.isbasedon | Phu, B., & Gow, J. (2019). Facebook use and its association with subjective happiness and loneliness. Computers in Human Behavior, 92, 151–159. https://doi.org/10.1016/j.chb.2018.11.020 | |
dc.relation.isbasedon | Pfiffelmann, J., Dens, N., & Soulez, S. (2020). Personalized advertisements with integration of names and photographs: An eye-tracking experiment. Journal of Business Research, 111, 196–207. https://doi.org/10.1016/j.jbusres.2019.08.017 | |
dc.relation.isbasedon | Quimbita, A., Pupiales, A., & Guerrego, G. (2020). Proposal to improve the usability of social networks using eye tracking: A study to optimize internal communication in the university context. In 5th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1–6). Piscataway, NJ: IEEE. https://doi.org/10.23919/CISTI49556.2020.9140883 | |
dc.relation.isbasedon | S, S., Paul, J., Strong, C., & Pius, J. (2020). Consumer response towards social media advertising: Effect of media interactivity, its conditions and the underlying mechanism. International Journal of Information Management, 54, 102155. https://doi.org/10.1016/j.ijinfomgt.2020.102155 | |
dc.relation.isbasedon | Shanahan, T., Tran, T. P., & Taylor, E. C. (2019). Getting to know you: Social media personalization as a means of enhancing brand loyalty and perceived quality. Journal of Retailing and Consumer Services, 47, 57–65. https://doi.org/10.1016/j.jretconser.2018.10.007 | |
dc.relation.isbasedon | Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280–283. https://doi.org/10.1016/j.jbusres.2020.05.059 | |
dc.relation.isbasedon | Simon, F., & Tossan, V. (2018). Does brand-consumer social sharing matter? A relational framework of customer engagement to brand-hosted social media. Journal of Business Research, 85, 175–184. https://doi.org/10.1016/j.jbusres.2017.12.050 | |
dc.relation.isbasedon | Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x | |
dc.relation.isbasedon | Strauss, J., & Frost, R. (2012). E-marketing (6th ed.). London: Pearson Education. | |
dc.relation.isbasedon | Tingley, D., Yamamoto, T., Hirose, K., Keele, L., & Imai, K. (2014). Mediation: R Package for Causal Mediation Analysis. Journal of Statistical Software, 59(5), 1–38. https://doi.org/10.18637/jss.v059.i05 | |
dc.relation.isbasedon | Tuten, T. L., & Solomon, M. R. (2017). Social Media Marketing (3rd ed.). Thousand Oaks, CA: SAGE Publications. | |
dc.relation.isbasedon | Tzafilkou, K., & Protogeros, N. (2017). Diagnising user perception and acceptance user eye tracking in web-based end-user development. Computers in Human Behavior, 72, 23–37. https://doi.org/10.1016/j.chb.2017.02.035 | |
dc.relation.isbasedon | Velásquez, J. D. (2011). Web site keywords: A methodology for improving gradually the web site text content. Intelligent Data Analysis, 15(4), 327–348. https://doi.org/10.3233/IDA-2012-0526 | |
dc.relation.isbasedon | Vendemia, M. A. (2017). When do consumers buy the company? Perceptions of interactivity in company-consumer interactions on social networking sites. Computers in Human Behavior, 71, 99–109. https://doi.org/10.1016/j.chb.2017.01.046 | |
dc.relation.isbasedon | Verhagen, T., Van Nes, J., Feldberg, F., & Van Dolen, W. (2014). Virtual Customer Service Agents: Using Social Presence and Personalization to Shape Online Service Encounters. Journal of Computer-Mediated Communication, 19(3), 529–545. https://doi.org/10.1111/jcc4.12066 | |
dc.relation.isbasedon | Wang, Z., & Kim, H. G. (2017). Social Media Marketing Improve Customer Relationship Capabilities and Firm Performance? Dynamic Capability Perspective. Journal of Interactive Marketing, 39, 15–26. https://doi.org/10.1016/j.intmar.2017.02.004 | |
dc.relation.isbasedon | Wiese, M., Martinez-Climent, C., & Botella-Carrubi, D. (2020). A framework for Facebook advertising effectiveness: A behavioural perspective. Journal of Business Research, 109, 76–87. https://doi.org/10.1016/j.jbusres.2019.11.041 | |
dc.relation.isbasedon | Wu, G. (2005). The Mediating Role of Perceived Interactivity in the Effect of Actual Interactivity on Attitude toward the Website. Journal of Interactive Advertising, 5(2), 29–39. https://doi.org/10.1080/15252019.2005.10722099 | |
dc.relation.isbasedon | Wang, C.-C., & Hung, J. C. (2019). Comparative analysis of advertising attention to Facebook social network: Evidence from eye-movement data. Computers in Human Behavior, 100, 192–208. https://doi.org/10.1016/j.chb.2018.08.007 | |
dc.relation.isbasedon | Wang, Z., & Kim, H. G. (2017). Can Social Media Marketing Improve Customer Relationship Capabilities and Firm Performance? Dynamic Capability Perspective. Journal of Interactive Marketing, 39, 15–26. https://doi.org/10.1016/j.intmar.2017.02.004 | |
dc.relation.isbasedon | Wu, T. Y., & Lin, C. A. (2017). Predicting the effects of eWOM and online brand messaging: Source trust, bandwagon effect and innovation adoption factors. Telematics and Informatics, 34(2), 470–480. https://doi.org/10.1016/j.tele.2016.08.001 | |
dc.relation.isbasedon | Zheng, X., Cheung, C. M. K., Lee, M. K. O., & Liang, L. (2015). Building brand loyalty through user engagement in online brand communities in social networking sites. Information Technology & People, 28(1), 90–106. https://doi.org/10.1108/ITP-08-2013-0144 | |
dc.relation.ispartof | Ekonomie a Management | cs |
dc.relation.ispartof | Economics and Management | en |
dc.relation.isrefereed | true | |
dc.rights | CC BY-NC | |
dc.subject | online interactivity | en |
dc.subject | perceived interactivity | en |
dc.subject | personalization | en |
dc.subject | en | |
dc.subject | eye tracking | en |
dc.subject.classification | M31 | |
dc.subject.classification | M39 | |
dc.title | Perceptions of Personalization in Company-consumer Interactions on Social Network: Experiment Conducted in the Czech Republic | en |
dc.type | Article | en |
local.access | open | |
local.citation.epage | 170 | |
local.citation.spage | 153 | |
local.faculty | Faculty of Economics | |
local.fulltext | yes | |
local.relation.abbreviation | E+M | cs |
local.relation.abbreviation | E&M | en |
local.relation.issue | 2 | |
local.relation.volume | 24 |
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