Decoding the hyper-connected consumer: unveiling the factors that influence decision-making
Safura Kallier-Tar · Cornelius Bothma ORCID ↗ · Johannes Wiid ORCID ↗
International Journal of Research in Business and Social Science · 2024 · Vol. 13 / Issue 3 · 36-53
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 21 Oct 2026 07:22 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
The proliferation of internet accessibility, mobile devices, the surge in online platforms and intelligent technologies, as well as the rapid advancements in the technological domain have fostered hyper-connectivity. This hyper-connectivity influences how consumers behave and make purchase decisions. This study makes use of quantitative research to explore the factors that influence the decision-making process of the hyper-connected consumer. Non-probability, simple random sampling was utilised for the study. The data was collected through surveys, and the instrument was tested using Likert scales. An online questionnaire was disseminated to consumers from within South Africa and yielded 306 valid responses. The results were analysed using exploratory factor analysis to identify and extract the latent factors of decision making for the hyper-connected consumer from the data collected. The main findings identified six factors that are grouped into intrinsic and extrinsic factors that influence the decision-making of the hyper-connected consumer. The intrinsic factors identified include personal insights and influences, and subjective knowledge. The extrinsic factors identified include sources/channels of information, price and financial influences, and personal and family needs. The factor labelled social influences was found to encompass characteristics of both intrinsic and extrinsic factors. The study not only provides greater insights into the changing nature of consumer behaviour in a hyper-connected world but also provides actionable insights for industry stakeholders.
Keywords: {'name': 'Hyper-connectivity'}, {'name': 'Connected'}, {'name': 'Consumer decision-making'}, {'name': 'Digitalisation'}, {'name': 'EBM Model'}
Authors & affiliations
Safura Kallier-Tar
Affiliation not supplied
Cornelius Bothma
Affiliation not supplied
Johannes Wiid
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1016/j.spc.2020.07.013
DOI: 10.1016/j.techfore.2020.120263
DOI: 10.1016/j.foodqual.2017.08.007
DOI: 10.1016/S2212-5671(16)00078-2
Babin, B. J., & Harris, E.G. (2021). CB: Consumer behaviour. (9th ed). Mason: Cengage Learning.
DOI: 10.1108/BIJ-07-2021-0415
DOI: 10.1108/FS-10-2021-0218
DOI: 10.1007/978-981-19-2225-1_49
DOI: 10.1108/JFMM-08-2020-0162
DOI: 10.1007/s11186-020-09405-1
DOI: 10.1108/JIMA-01-2018-0004
DOI: 10.4018/978-1-7998-6776-0
DOI: 10.1016/j.emj.2015.09.001
DOI: 10.1108/JCM-03-2021-4526
DOI: 10.3390/foods9121898
Chung, J., & Lai, Y. (2017). Consumer behaviour in the smartphone segment market: An analysis of college students. International journal of supply chain management. from: https://ojs.excelingtech.co.uk/index.php/IJSCM/article/view/1763/931
DOI: 10.1079/9781780643083.0000
Creswell, J. W., & Creswell, J. D. (2018). Research design: qualitative, quantitative and mixed methods approach. Chicago: Sage Publications.
Cunningham, N. (2022). Introduction to marketing: A South African perspective. (2nd ed.). Pretoria: Van Schaik Publishers.
DOI: 10.1037/10903-000
Dimova, N. (2021). Influence of Digitalisation on Consumer Behaviour in Retail. 5th International Conference on Business, Management and Economics. https://www.dpublication.com/wp-content/uploads/2021/08/E11-310.pdf
Du Preez, P., & Le Grange, L. (2020). The COVID-19 pandemic, online teaching/learning, the digital divide and epistemological access. In Ramrathan, L., Ndimande-Hlongwa, N., Mkhize, N. & Smit, J. A. (2020). Re-thinking the Humanities Curriculum in the Time of COVID-19. Alternation African Scholarship Book Series (AASBS).
DOI: 10.1016/j.ijinfomgt.2020.102168
Engel, F. J., Kollat, D. T., & Blackwell, R. D. (1968). Consumer behaviour. New York: Holt, Rinehart, and Winston.
Engel, F. J., Blackwell, R. D., & Miniard, P. W. (2006). Consumer behaviour. (10th Ed.). Cincinnati: Thomson Higher Education.
Euromonitor International. (2015). Consumers in the digital world: Hyperconnectivity and technology trends. Euromonitor International. https://www.euromonitor.com/whitepaper/consumers-in-the-digital-world-hyperconnectivity-and-technology-trends
Evans, M. (2018). Commerce 2040 Revolutionary Tech Will Boost Consumer Engagement. Euromonitor International. [White paper]. Euromonitor. https://go.euromonitor.com
Evans, M. (2020). The digital consumer journey: Who is behind the crisis-inspired e-commerce surge. [White paper]. Euromonitor International. https://go.euromonitor.com
DOI: 10.1080/09593969.2018.1537191
Faulds, D. J., Mangold, W. G., Raju, P. S., & Valsalan, S. (2017). The mobile shopping revolution: redefining the consumer decision process. Business Horizons, 1-6.
Fauziah, R., & Wahdiniwaty, R. (2019). The process of product purchasing decision through e-marketing. Advances in Economics, Business and Management Research, 112, 125-129.
DOI: 10.4135/9781544339900
Galal, S. (2021). Web traffic by device in South Africa 2021. https://www.statista.com/statistics/1229072/web-traffic-by-device-in-south-africa/
GFK Global. (2017). Discover the hyper-connected consumer in India.
GFK Global. (2016). Hong Kong, North America and UAE are world’s most “connected” populations. http://www.gfk.com/insights/press-release/hong-kong-north-america-and-uae-are-worlds-most-connected-populations/
DOI: 10.1017/9781108762427
DOI: 10.1007/978-3-319-92037-5_13
DOI: 10.13106/jidb.2020.vol11.no8.7
DOI: 10.1016/j.tra.2020.02.005
Hair, J. F., Black, C. W., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis. 8th edition. Hampshire, UK: Cengage Learning.
DOI: 10.1016/j.jbusres.2020.09.030
DOI: 10.1080/10963758.2020.1791136
DOI: 10.1080/0267257X.2020.1773514
Hoffman, K. D., & Bateson, J .E G. (2017). Service marketing: concepts, strategies and cases. (5th ed.). Boston: Cengage Learning
DOI: 10.1016/j.intmar.2020.04.001
Hsieh, P., & Hu, T. (2019). Differences in the decision-making process between sellers using Yahoo! Kimo auction site and Barter sites. Proceedings from the eighteenth annual pre-ICIS Worksop on HCI research in MIS, Munich, Germany. 1-5.
DOI: 10.1080/21645698.2020.1840911
DOI: 10.24251/HICSS.2019.771
Khan, A., Raj, A., Marwah, N., Agrawal, R., & Kalwani, R. (2020). Consumer behaviour towards hyper-connected world. Global Scientific Journals, 8(6), 278-296.
DOI: 10.1108/JOSM-11-2018-0360
Kumar, B. N. S., & Sumathi, V. (2023). Impact of advertising over consumer behaviour towards health drinks in India. International Journal of Scientific Research in Modern Science and Technology, 2(6), 57-64
DOI: 10.1002/arcp.1088
DOI: 10.1080/17543266.2021.1909660
DOI: 10.5772/intechopen.76128
DOI: 10.23919/JCN.2023.000006
DOI: 10.1016/j.jbusres.2017.09.003
DOI: 10.1002/cb.2118
DOI: 10.1016/j.habitatint.2020.102266
DOI: 10.22610/imbr.v13i3(I).3209
DOI: 10.1016/j.jretconser.2020.102218
DOI: 10.1016/j.ajsl.2018.06.006
DOI: 10.1016/j.chb.2019.106217
Mothersbaugh, D. L., Hawkins, D. I., & Kleiser, S. B. (2020). Consumer behaviour: Building marketing strategy. 14th edn. Boston, MA: McGraw-Hill Irwin.
DOI: 10.1080/07350015.2019.1702047
DOI: 10.1108/JFMM-01-2018-0012
Nguyen, O. (2023). Digital Economy and Its Components: A Brief Overview and Recommendations. Munich Personal RepEc Archive (MPRA). https://mpra.ub.uni-muenchen.de/116110/1/MPRA_paper_116110.pdf
Nicosia F.M. (1966), Consumer decision processes: marketing and advertising implications, Englewood Cliffs: Prentice-Hall.
DOI: 10.4337/9781788976244
DOI: 10.4324/9781003117445
DOI: 10.1108/APJML-09-2020-0641
Parsons, J. J. (2022). New perspectives computer concepts. Mason, OH: Cengage Learning.
DOI: 10.1108/S2050-206020170000013024
DOI: 10.1016/j.ins.2019.02.022
DOI: 10.1016/j.acha.2020.11.006
DOI: 10.36997/IJUSV-ESS/2020.9.2.32
Petrosyan, A. (2023). Internet usage worldwide – Statistics & Facts. https://www.statista.com/topics/1145/internet-usage-worldwide/#topicOverview
Piatrov, I., & Kusá, A. (2019). Innovative approach to consumer segmentation in a digital age and their attitude to environmental issues. European Conference on Innovation and Entrepreneurship, 788-794.
DOI: 10.1016/B978-0-12-817792-1.00002-2
Qalati, S. A., Yuan, L. W., Iqbal, S., Hussain, R. Y., & Ali, S. (2019). Impact of Price on Customer Satisfaction: the mediating role of Consumer Buying Behaviour in Telecom Sector. International Journal of Research, 6(4), 150-165.
DOI: 10.1108/JCM-07-2021-4777
Randjbarian, B., Ghasemi, V., & Shekarchizadeh, Z. (2018). Factors Affecting Information Search Behavior in Purchasing an Outbound Package Tour: A Thematic Analysis. Iranian Journal of Management Studies, 463-486.
Ranyard, R. (2018). Economic psychology. Hoboken: John Wiley & Sons Ltd.
Rossanty, Y., & Nasution, M. D. T. T. P. (2018). Information Search and intention to purchase: The role of country of origin image, product knowledge and product involvement. Journal of Theoretical and Applied Information Technology, 96(10), 3078-3085.
DOI: 10.1177/0973258618822624
DOI: 10.1016/j.foodres.2020.108995
DOI: 10.1016/j.techfore.2021.121117
Schaefer, S & Edinger, H. (2019). Consumer sentiment in retail: Insights for South Africa. Deliotte.
DOI: 10.1007/978-3-031-26956-1_16
Sheth, J. N., & Howard, J. A. (1969). The theory of buyer behaviour. New York: John Wiley & Sons, Inc.
DOI: 10.1108/JRIM-01-2018-0019
Simon, H. A. (1959). Theories of decision-making in economics and behavioural science. The American economic review. 49(3):253-283.
DOI: 10.3390/su12051716
Solis, B. (2018). Defying Demographics: Generation-C, Today’s Hyperconnected Consumer ‘Generation’. https://www.briansolis.com/2018/01/defying-demographics-generation-c-todays-hyperconnected-consumer-generation/
Steenbergen, M. R. (2018). An introduction to principal component analysis. Marcosteenbergen.eu. http://marcosteenbergen.eu/wp-content/uploads/2019/07/pca.pdf
DOI: 10.1515/gfkmir-2017-0012
Susilowati, C., & Sugandini, D. (2018). Perceived Value, eWord-of-Mouth, Traditional Word-of-Mouth, and Perceived Quality to Destination Image of Vacation Tourists. Review of Integrative Business & Economics Research, 7(1), 312-321. https://www.sibresearch.org/uploads/3/4/0/9/34097180/riber_7-s1_sp_s17-175_312-321.pdf
DOI: 10.1177/0022242919899905
Tradingeconomics.com. (2019). Unemployment rate. https://tradingeconomics.com/country-list/unemployment-rate
DOI: 10.53555/bm.v7i6.4312
DOI: 10.1038/s41598-020-66698-z
DOI: 10.1016/j.stae.2023.100054
DOI: 10.1109/ICTC.2014.6983134
DOI: 10.36348/sjbms.2021.v06i03.001
DOI: 10.4018/978-1-5225-1865-5
DOI: 10.1007/s10668-023-03817-6
Vodafone Limited. (2015). Connected Nation: The digital impact on buying behaviour. http://www.vodafone.co.uk/business/file/1418044024229_Perspective_Series_Britain_Private2gb_10.pdf
DOI: 10.1504/IJIDS.2019.101994
Webster, K. (2021). How customers live in the connected economy. https://www.pymnts.com/commerce-connected/2021/how-consumers-live-in-the-connected-economy/
Wu, R., Escoe, B., & Kardes, F. (2017). You Are Not As Smart As You Think You Are: Effects of Self Perceived Knowledge on Consumer Information Processing and Decision Making. Advances of Consumer Research, 45, 962-962.
DOI: 10.4018/IJEBR.2017070103
Yoo, J. (2018). A study of the characteristics of hyper-connected society and the change of the security. International Journal of Development Research, 8(3), 1-3.
DOI: 10.3389/fpsyg.2019.00452
DOI: 10.1051/shsconf/20207403014
Zayas, A. D., Perez, C. A. G., Perez, A. M. R., & Merino, P. (2018). 3GPP Evolution on LTE connectivity for IoT. In Gravina, R., Palau, C. E, Manso, M, Liotta, A. & Fortini, G. (2018) Integration, interconnection, and interoperability of IoT systems. Cham, Switzerland: Springer International Publishing.