The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials
Open accessAbstract
Purpose: – The purpose of this paper is to investigate the influence of behavioural attitudes towards the most popular social medium in the world, Facebook, amongst Millennials in South Africa (SA), and to determine whether various usage and demographic variables have an impact on intention-to-purchase and purchase perceptions. Design/methodology/approach: – Quantitative research was conducted by means of a survey among a sample of over 3,500 respondents via self-administered structured questionnaires in SA. A generalised linear model was used to analyse the data. Findings: – The results confirm that advertising on Facebook has a positive influence on the behavioural attitudes (intention-to-purchase and purchase) of Millennials who reside in SA. The usage characteristics, log on duration and profile update incidence, as well as the demographic influence of ethnic orientation also resulted in more favourable perceptions of Facebook advertising. Research limitations/implications: – Research on Facebook advertising was only conducted in SA, whereas other emerging countries warrant further investigation to establish if they share the slight positive sentiment towards intention-to-purchase and purchase. This inquiry only provides a “snap shot” of behavioural attitudes, usage and demographic factors towards social media advertising, whereas future research could consider the development of cognitive, affective and behavioural attitudes towards Facebook advertising by employing longitudinal and qualitative research designs. Practical implications: – Organisations and managers should consider that their existing Facebook advertising strategies may only have a limited effect on intention-to-purchase and purchase in SA. However, certain usage characteristics, namely the more time spent logged on to Facebook and the greater frequency of profile update incidence, as well as the demographic variable, namely black and coloured Millennials, resulted in more favourable behavioural attitudes towards Facebook advertising. Hence, organisations and managers should be prepared to alter or adapt their Facebook advertising tactics accordingly when targeting the notoriously fickle Millennials. Originality/value: – This investigation found that Facebook advertising has a nominal positive influence on behavioural attitudes among Millennials, which is in congruence with the communications of the effect pyramid model that was established through traditional advertising research. This paper also makes a noteworthy contribution to attitudinal research in emerging countries where there is a dearth of research in social media advertising.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Understanding online shopping intention: the roles of four types of trust and their antecedents.
Hsu, M.-H., Chuang, L.-W., & Hsu, C.-S. (2014) · Internet Research · doi:10.1108/intr-01-2013-0007 · Cited by 255
Research works printed but not linked: 74
- Aaker, D.A. , Kumar, V. and Day, G.S. (2004), Marketing Research , 8th ed., John Wiley, New York, NY.
- Associated Press and CNBC (2012), “Is there a problem with Facebook advertising?”, available at: www.emarketer.com/Article.aspx?R=1009065 (accessed 1 July 2013).
- Bannister, A. , Kiefer, J. and Nellums, J. (2013), “College students’ perceptions of and behaviours regarding Facebook advertising: an exploratory study”, The Catalyst , Vol. 3 No. 1, pp. 1-20. · DOI
- Barreto, A.M. (2013), “Do users look at banner ads on Facebook”, Journal of Research in Interactive Marketing , Vol. 7 No. 2, pp. 119-139. · DOI
- Belch, G.E. and Belch, M.A. (2012), Advertising and Promotion: An Integrated Marketing Communication Perspective , 9th ed., McGraw-Hill, New York, NY.
- Berndt, A. (2007), “Media habits among generation Y consumers”,Proceedings of the 19th Annual Conference of the Southern African Institute of Management Scientists, Johannesburg, 19-21 September, pp. 3-16.
- Bevan-Dye, A.L. , Garnett, A. and de Klerk, N. (2012), “Materialism, status consumption and consumer ethnocentrism amongst black generation Y students in South Africa”, African Journal of Business Management , Vol. 6 No. 16, pp. 5578-5586. · DOI
- Blasco-Arcas, L. , Hernandez-Ortega, B. and Jimenez-Martinez, J. (2014), “The online purchase as a context for co-creating experiences. Drivers of and consequences for customer behaviour”, Internet Research , Vol. 24 No. 3, pp. 211-242. · DOI
- Blumberg, B. , Cooper, D.R. and Schindler, P.S. (2011), Business Research Methods , 3rd ed., McGraw-Hill, London.
- Bolton, R.N. , Parasuraman, A. , Hoefnagels, A. , Migchels, N. , Kabadayi, S. , Gruber, T. , Loureiro, Y.K. and Solnet, D. (2013), “Understanding Generation Y and their use of social media: a review and research agenda”, Journal of Service Management , Vol. 24 No. 3, pp. 245-267. · DOI · Paper page
- Burns, A.C. and Bush, F.R. (2012), Basic Marketing Research , 3rd ed., Pearson Education, Upper Saddle River, NJ.
- Carrillat, A.F. , d’Astous, A. and Grégoire, E.M. (2014), “Leveraging social media to enhance recruitment effectiveness: a Facebook experiment”, Internet Research , Vol. 24 No. 4, pp. 86-123. · DOI
- Chandra, B. , Goswami, S. and Chouhan, V. (2012), “Investigating attitude towards online advertising on social media – an empirical study”, Management Insight , Vol. 8 No. 1, pp. 1-14.
- Crosman, P. (2008), “Attracting young investors – financial firms are embracing mobile technology, Web 2.0 tools and social networking principles to reach Gen X and Gen Y”, Wall Street and Technology , Vol. 26, p. 16.
- Denscombe, M. (2010), The Good Research Guide , 3rd ed., McGraw-Hill, Berkshire.
- Dotson, M.F. and Hyatt, E.M. (2005), “Major influence factors in children’s consumer socialisation”, Journal of Consumer Marketing , Vol. 22 No. 3, pp. 35-42. · DOI · Paper page
- Du Chenne, S. (2011), “High on aspiration, but cynical”, AdReview , Vol. 28, April, pp. 48-51.
- Edwards, S.M. (2011), “A social media mindset”, Journal of Interactive Advertising , Vol. 12 No. 1, pp. 1-3. · DOI
- Goldenberg, B. (2007), “The rise of the digital client”, Customer Relationship Management , Vol. 11, p. 12.
- Ha, H. and Janda, S. (2014), “The effect of customized information on online purchase intentions”, Internet Research , Vol. 24 No. 4, pp. 124-165. · DOI
- Hadija, Z. , Barnes, S.B. and Hair, N. (2012), “Why we ignore social networking advertising”, Qualitative Market Research: An International Journal , Vol. 15 No. 1, pp. 19-32. · doi:10.1108/13522751211191973
- Haigh, M.M. , Brubaker, P. and Whiteside, E. (2013), “Facebook: examining the information presented and its impact on stakeholders”, Corporate Communications: An International Journal , Vol. 18 No. 1, pp. 52-69. · DOI
- Hair, J.F. , Bush, R.P. and Ortinau, D.J. (2009), Marketing Research , McGraw Hill/Irwin, New York, NY.
- Hamidizadeh, M.R. , Yazdani, N. Tabriz, A.A. and Latifi, M.M. (2012), “Designing and validating a systematic model of e-advertising”, International Journal of Marketing Studies , Vol. 4 No. 2, pp. 130-149. · DOI
- He, W. and Zha, S. (2014), “Insights into the adoption of social media mashups”, Internet Research , Vol. 24 No. 2, pp. 21-42. · DOI
- Hudson, S. and Hudson, R. (2013), “Engaging with consumers using social media: a case study of music festivals”, International Journal of Event and Festival Management , Vol. 4 No. 3, pp. 206-223. · DOI · Paper page
- Hudson, S. and Thal, K. (2013), “The impact of social media on the consumer decision process: implications for tourism marketing”, Journal of Travel & Tourism Marketing , Vol. 30 Nos 1-2, pp. 156-160. · DOI · Paper page
- Jalilvand, M.R. and Samiei, N. (2012), “The impact of electronic word-of-mouth on a tourism destination choice: testing the theory of planned behaviour (TPB)”, Internet Research , Vol. 22 No. 5, pp. 591-612. · DOI · Paper page
- Jordaan, Y. , Ehlers, L. and Grove, J.M. (2011), “Advertising credibility across media channels: perceptions of generation Y consumers”, Communicare , Vol. 30 No. 1, pp. 1-20.
- Kalampokis, E. , Tambouris, E. and Tarabanis, K. (2013), “Understanding the predictive power of social media”, Internet Research , Vol. 23 No. 5, pp. 544-559. · DOI · Paper page
- Kodjamanis, A. and Angelopoulos, S. (2013), “Consumer perception and attitude towards advertising on social networking sites: the case of Facebook”, Proceedings of International Conference on Communication, Media, Technology and Design, Famagusta, 2-4 May, pp. 53-58.
- Lavidge, R.J. and Steiner, G.A. (1961), “A model of predictive measurement of advertising effectiveness”, Journal of Marketing , Vol. 25 No. 6, pp. 59-62. · DOI · Paper page
- Leung, X.Y. , Bai, B. and Stahura, K.A. (2015), “The marketing effectiveness of social media in the hotel industry: a comparison of Facebook and Twitter”, Journal of Hospitality & Tourism Research , Vol. 39 No. 2, pp. 147-169. · DOI · Paper page
- Lingelbach, D. , Patino, A. and Pitta, D.A. (2012), “The emergence of marketing in Millennial new ventures”, Journal of Consumer Marketing , Vol. 29 No. 2, pp. 136-145. · doi:10.1108/07363761211206384
- McCarthy, J. , Rowley, J. , Ashworth, C.J. and Pioch, E. (2014), “Managing brand presence through social media: the case of UK football clubs”, Internet Research , Vol. 24 No. 2, pp. 43-75. · DOI
- Martinez-Lopez, F.J. , Luna, P. and Martinez, F.J. (2005), “Online shopping, the standard learning hierarchy, and consumers’ internet expertise”, Internet Research , Vol. 15 No. 3, pp. 312-334. · DOI
- Maxwell, J. (2013), “Demystifying the online shopper 10 myths of multichannel retailing”, PWC’s Multichannel Retail Survey , January, pp. 3-35.
- Mir, I.A. (2012), “Consumer attitudinal insights about social media advertising: a South Asian perspective”, The Romanian Economic Journal , Vol. 15 No. 45, pp. 265-288.
- Molnár, G. (2011), “Social technographics profiles of students at University of Pecs”, master dissertation, University of Pecs, Pécs.
- Moore, M. (2012), “Interactive media usage among Millennial consumers”, Journal of Consumer Marketing , Vol. 29 No. 6, pp. 436-444. · DOI · Paper page
- Noble, S.M. , Haytko, D.L. and Phillips, J. (2009), “What drives college-age generation Y consumers?”, Journal of Business Research , Vol. 62 No. 6, pp. 617-628. · DOI · Paper page
- Okazaki, S. and Taylor, R.T. (2013), “Social media and international advertising: theoretical challenges and future directions”, International Marketing Review , Vol. 30 No. 1, pp. 56-71. · DOI · Paper page
- Olivier, D. (2007), “South Africa poised to become a loyalty marketing gem”, Journal of Consumer Marketing , Vol. 24 No. 3, pp. 180-181. · doi:10.1108/07363760710746184
- Orpana, J. and Tera, J. (2011), “Facebook marketing – what do users think of it?”, bachelor thesis University of Applied Sciences, Turku.
- Patino, A. , Pitta, D.A. and Quinones, R. (2012), “Social media’s emerging importance in market research”, Journal of Consumer Marketing , Vol. 29 No. 3, pp. 233-237. · doi:10.1108/07363761211221800
- Patwardhan, P. and Ramaprasad, J. (2005), “Rational integrative model of online consumer decision making”, Journal of Interactive Advertising , Vol. 6 No. 1, pp. 2-13. · DOI
- Persuad, C. (2013), “The effects of interactivity and involvement on users’ attitude toward and perception of brands and purchase intent on Facebook”, master thesis, Louisiana State University, Baton Rouge, LA.
- Petzer, D.J. and De Meyer, C.F. (2013), “Trials and tribulations: marketing in modern South Africa”, European Business Review , Vol. 25 No. 4, pp. 382-390. · doi:10.1108/ebr-02-2013-0016
- Powers, T. , Advincula, D. , Austin, M.S. , Graiko, S. and Snyder, J. (2012), “Digital and social media in the purchase decision process”, Journal of Advertising Research , Vol. 52 No. 4, pp. 479-489. · doi:10.2501/jar-52-4-479-489
- Priyanka, S. (2013), “A study of online advertising on consumer behaviour”, International Journal of Engineering and Management Science , Vol 3 No. 4, pp. 461-465.
- Punj, G. (2011), “Effect of consumer beliefs on online purchase behaviour: the influence of demographic characteristics and consumption values”, Journal of Interactive Marketing , Vol 25 No. 3, pp. 134-144. · DOI
- Putrevu, S. and Lord, R.K. (1994), “Comparative and noncomparative advertising: attitude effects under cognitive and affective involvement conditions”, Journal of Advertising , Vol. 23 No. 2, pp. 77-90. · DOI · Paper page
- Rau, P.L.P. , Gao, Q. and Ding, Y. (2008), “Relationship between the level of intimacy and lurking in online social network services”, Computers in Human Behaviour , Vol. 24 No. 6, pp. 2757-2770. · DOI · Paper page
- Rodgers, S. and Thorson, E. (2000), “The interactive advertising model: how users perceive and process online ads”, Journal of Interactive Advertising , Vol. 1 No. 1, pp. 26-49. · DOI · Paper page
- Rohm, A. , Kaltcheva, V.D. and Milne, G.R. (2013), “A mixed-method approach to examining brand-consumer interactions driven by social media”, Journal of Research in Interactive Marketing , Vol. 7 No. 4, pp. 295-311. · DOI · Paper page
- Ruane, L. and Wallace, E. (2013), “Generation Y females online: insights from brand narratives”, Qualitative Market Research: An International Journal , Vol. 16 No. 3, pp. 315-335. · DOI
- Safko, L. (2010), The Social Media Bible: Tactics, Tools & Strategies for Business Success , 2nd ed., Wiley, Hoboken, NJ.
- Saxena, A. and Khanna, U. (2013), “Advertising on social network sites: a structural equation modelling approach”, Vision , Vol. 17 No. 1, pp. 17-25. · DOI · Paper page
- Schoen, H. , Gayo-Avello, D. , Metaxas, P.T. , Mustafaraj, E. , Strohmaier, M. and Gloor, P. (2013), “The power of prediction with social media”, Internet Research , Vol. 23 No. 5, pp. 528-543. · DOI · Paper page
- Shu, W. and Chuang, Y. (2011), “The perceived benefits of six-degree-separation social networks”, Internet Research , Vol. 21 No. 1, pp. 26-45. · DOI
- Smith, K.T. (2012), “Longitudinal study of digital marketing strategies targeting Millennials”, Journal of Consumer Marketing , Vol. 29 No. 2, pp. 86-92. · DOI · Paper page
- Smith, S. (2013), “Conceptualising and evaluating experiences with brands on Facebook international”, Journal of Market Research , Vol. 55 No. 3, pp. 357-374. · DOI
- Stevenson, J. , Bruner, G. and Kumar, A. (2000), “Webpage background and viewer attitudes”, Journal of Advertising Research , Vol. 40 No. 1, pp. 29-34. · DOI · Paper page
- Taylor, D.G. , Lewin, J.E. and Strutton, D. (2011), “Friends, fans, and followers: do ads work on social networks”, Journal of Advertising Research , Vol. 51 No. 1, pp. 258-275. · DOI · Paper page
- Taylor, S.A. and Hunter, G.L. (2002), “The impact of loyalty with e-CRM software and e-services”, International Journal of Service Industry Management , Vol. 13 No. 5, pp. 452-478. · DOI
- Tham, A. , Croy, G. and Mair, J. (2013), “Social media in destination choice: distinctive electronic word-of-mouth dimensions”, Journal of Travel & Tourism Marketing , Vol. 30, pp. 144-155. · DOI · Paper page
- Vanden Bergh, B.G. , Lee, M. , Quilliam, E.T. and Hove, T. (2011), “The multidimensional nature and brand impact of user-generated as parodies in social media”, Interactive Journal of Advertising , Vol. 30 No. 1, pp. 103-131. · DOI
- Wang, Y. and Sun, S. (2010), “Assessing beliefs, attitudes, and behavioural responses toward online advertising in three countries”, International Business Review , Vol. 19 No. 1, pp. 333-344. · DOI
- Wolin, L.D. , Korgaonkar, P. and Lund, D. (2002), “Beliefs, attitudes and behaviour towards web advertising”, International Journal of Advertising , Vol. 21 No. 1, pp. 87-113. · DOI
- Wu, S.I. , Wei, P.L. and Chen, J.H. (2008), “Influential factors and relational structure of internet banner advertising in the tourism industry”, Tourism Management , Vol. 29 No. 1, pp. 221-236. · DOI
- Yaakop, A. , Anuar, M.M. and Omar, K. (2013), “Like it or not: issue of credibility in Facebook advertising”, Asian Social Science , Vol. 9 No. 3, pp. 154-163. · DOI
- Yadav, M.S. , de Valck, K. , Hennig-Thurau, H. , Hoffman, D.L. and Spann, M. (2013), “Social commerce: a contingency framework for assessing marketing potential”, Journal of Interactive Marketing , Vol. 27 No. 4, pp. 311-323. · DOI · Paper page
- Yang, T. (2012), “The decision behaviour of Facebook users”, Journal of Computer Information Systems , Vol. 52 No. 3, pp. 50-59. · DOI
- Yoo, C.Y. , Kim, K. and Stout, P.A. (2010), “Assessing the effects of animation in online banner advertising: hierarchy effects model”, Journal of interactive advertising , Vol. 4 No. 2, pp. 49-60. · DOI · Paper page
Cited by
Social media in marketing: A review and analysis of the existing literature
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.05.008 · Cited by 1,123
AlFarraj, O., Alalwan, A. A., Obeidat, Z. M., Baabdullah, A., Aldmour, R., & Al-Haddad, S. (2021) · Review of International Business and Strategy · doi:10.1108/ribs-07-2020-0089 · Cited by 311
Understanding online shopping intention: the roles of four types of trust and their antecedents.
Hsu, M.-H., Chuang, L.-W., & Hsu, C.-S. (2014) · Internet Research · doi:10.1108/intr-01-2013-0007 · Cited by 255
Customer retention and the mediating role of perceived value in retail industry
Hanaysha, J. R. (2018) · World Journal of Entrepreneurship, Management and Sustainable Development · doi:10.1108/wjemsd-06-2017-0035 · Cited by 108
Uncertainty Avoidance and Consumer Cognitive Innovativeness in E-Commerce
Sohaib, O., Kang, K., & Miliszewska, I. (2019) · Journal of Global Information Management · doi:10.4018/jgim.2019040104 · Cited by 39
Metadata
- Authors
- Duffett, R. G.
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2015-08-03
- Volume
- 25
- Issue
- 4
- Pages
- 498-526
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W1587265432
- Cited by
- 378
- References
- 1
- FWCI
- 68.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.emerald.com/insight/site-policies (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials. https://app.cochat.ai/papers/10.1108/intr-01-2014-0020
- The paper
- Duffett, R. G. (2015). Facebook advertising’s influence on intention-to-purchase and purchase amongst Millennials. Internet Research. https://doi.org/10.1108/intr-01-2014-0020
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.