KnE Social Sciences

ISSN: 2518-668X

The latest conference proceedings on humanities, arts and social sciences.

Social Marketing and COVID-19 in Greece: What ``Millennials'' Think!

Published date: Feb 01 2023

Journal Title: KnE Social Sciences

Issue title: Economies of the Balkan and Eastern European Countries (EBEEC)

Pages: 449–464

DOI: 10.18502/kss.v8i1.12667

Authors:

Lambros Tsourgiannisltsourgiannis@gmail.comDirectorate of Public Health and Social Care of Regional District of Xanthi, Region of Eastern Macedonia and Thrace, Headquarters Xanthi, Greece

Foteini PerdikiInternational Hellenic University, Department of Accounting and Finance, Campus of Kavala, 65404 Kavala Greece

Vasilios ZoumpoulidisInternational Hellenic University, Department of Accounting and Finance, Campus of Kavala, 65404 Kavala Greece

Vasilios FerelisInternational Hellenic University, Department of Accounting and Finance, Campus of Kavala, 65404 Kavala Greece

Abstract:

Social marketing has been developed to create a change in people’s attitudes toward the achievement of public health and social welfare. Social marketing techniques are used for health promotion, prevention of injuries, environmental protection, and social awareness. This study aims to explore the attitudes of Greek citizens toward the impact of social marketing techniques on their awareness of public health in general and their fight against COVID-19 in particular. A primary survey was conducted in May–June 2021 to a random sample of Greek citizens. Principal component analysis (PCA) was conducted to identify the main attitudes of Greek millennials toward the impact of social marketing on people’s awareness regarding public health in general and the fight against COVID-19 in particular. Therefore, two main attitudes were derived from PCA: (a) social marketing contributed significantly into public awareness regarding public health issues and COVID-19 fight, and (b) some social marketing techniques had a negative impact on the use of vaccines as a protection measure toward COVID-19. Cluster analysis was performed to classify those citizens into groups according to their attitudes toward the use of social marketing in public health and COVID-19 issues. It identified three groups of citizens: (a) those who believe that social marketing has a significant impact on people’s awareness regarding public health and protection against COVID-19, (b) those who are uninterested, and (c) those who believe that social marketing contributes to the dissemination of negative information regarding vaccination against COVID19. Nonparametric tests, including the Chi-square and Friedman nonparametric tests were performed to develop the profile of those citizens.

Keywords: social marketing, millennials, COVID-19

References:

[1] Benckendorff P, Moscardo G, Pendergast D, editors. Tourism and generation Y. Cabi; 2010.

[2] Berg R, Mitchell S. Social marketing: Leveraging the private sector to improve contraceptive access, choice, and use. New York: Futures Group; 2013.

[3] Nuray B, Kubacki K, Rundle-Thiele S, Pang B. A systematic review of stakeholder involvement in social marketing interventions. Australasian Marketing Journal. 2016;24:8–19.

[4] Cairns G, Mackay B, MacDonald L. The SAGE handbook of social marketing. Hastings G, Angus K, Bryant C, editors. London: SAGE; 2011. Social marketing and international development.

[5] Chaney D, Touzani M, Ben Slimane K. Marketing to the (new) generations: Summary and perspectives. Journal of Strategic Marketing. 2017;25(3):179–189.

[6] Cheng H, Kotler P, Lee N. Social marketing for public health: Global trends and success stories. Sudbury, MA: Jones & Bartlett; 2011.

[7] Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum; 1988. p. 273–406.

[8] Firestone R, Rowe CJ, Modi SN, Sievers D. The effectiveness of social marketing in global health: A systematic review. Health Policy and Planning. 2017;32(1):110–124.

[9] Faul F, Erdfelder E, Buchner A, Lang A. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods. 2009;41(4):1149–1160.

[10] Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate data analysis. New Jersey: Prentice Hall Inc.; 1998.

[11] Kaiser HF. An index of factorial simplicity. Psychometrika. 1974;39:31–36.

[12] Kasriel-Alexander D. Top 10 global consumer trends for 2015, international 3. Euromonitor International. 2015:37. Available from: https://go.euromonitor.com/rs/euromonitorinternational/images/WPTP10CT15_ EMI.pdf

[13] Kotler P, Keller KL. Marketing management. Prentice Hall; 2012.

[14] Low-Beer D, Stoneburner R. Behaviour and communication change in reducing HIV: Is Uganda unique? African Journal of AIDS Research. 2003;2(1):9–21.

[15] Marjanen H, Kohijoki AM, Saastamoinen K, Engblom J. Old dogs learning new tricks? The effect of age and generation on shopping behaviour. The International Review of Retail, Distribution and Consumer Research. 2019;29(5):549–567.

[16] McKinney LN, Legette-Traylor D, Kincade DH, Holloman LO. Selected social factors and the clothing buying behaviour patterns of black college consumers. The International Review of Retail, Distribution and Consumer Research. 2004;4:389– 406.

[17] Meadley J, Pollard R, Wheeler M. Review of DFID approach to social marketing. London: DFID Health Systems Resource Centre; 2003.

[18] Menegaki AN. A social marketing mix for renewable energy in Europe based on consumer stated preference surveys. Renewable Energy. 2012;39:30–39.

[19] Nejad MS, Harooni J, Charkazi A, Shams M, Latifi M. Using social marketing to promote preventive behaviors related to COVID-19. Journal of Lifestyle Medicine. 2021;11(2):52.

[20] Olawepo JO, Pharr JR, Kachen A. The use of social marketing campaigns to increase HIV testing uptake: A systematic review. AIDS Care. 2019;31(2):153–162.

[21] Oppenheim AN. Questionnaire design, interviewing and attitude measurement. New York: Continuum; 2000.

[22] Parkinson J, Russell-Bennett R, Previte J. Mum or bub? Which influences breastfeeding loyalty. Australasian Marketing Journal. 2012;20:16–23.

[23] Parment A. Generation Y vs. Baby boomers: Shopping behavior, buyer involvement and implications for retailing. Journal of Retailing and Consumer Services. 2013;20(2):189–199.

[24] Şentürk T. Rethinking social marketing and behavioural change in times of covid-19 pandemic. Celal Bayar ÜniversitesiSosyalBilimlerDergisi. 2021;19(01):321–338.

[25] Siardos G. Methodology of agricultural sociological research. Thessaloniki, Greece: Ziti Publications; 1997. 367 p.

[26] Tsourgiannis L, Delias P, Polychronidou P, Karasavvoglou A, Valsamidis S. Profiling tourists who have holidays in the region of eastern Macedonia and Thrace in Greece. Procedia Economics and Finance. 2015;33:450–460.

[27] Zikmund WG, Babin BJ, Carr J, Griffin M. Business research methods. Cengage Learning; 2013.

[28] ELSTAT. Demographic characteristics / 2011. 2020. Available from: https://www.statistics.gr/el/statistics/-/publication/SAM03/

[29] Twum KK, Ofori D, Agyapong GKQ, Yalley AA. Intention to vaccinate against COVID- 19: A social marketing perspective using the theory of planned behaviour and health belief model. Journal of Social Marketing. 2021;11(4):549–574.

[30] Mongilala D, Saerang DP, Tielung MV. Comparative analysis of social marketing campaign effectiveness in social media between millennial and generation z (case study of “disiplin 3m” covid-19 prevention campaign). Jurnal EMBA: JurnalRiset Ekonomi, Manajemen, Bisnis dan Akuntansi. 2021;9(3):468–477.

Download
HTML
Cite
Share
statistics

391 Abstract Views

173 PDF Downloads