Skip to main content
Log in

Consumer health risk awareness model of RF-EMF exposure from mobile phones and base stations: An exploratory study

  • Original Article
  • Published:
International Review on Public and Nonprofit Marketing Aims and scope Submit manuscript

Abstract

Wireless Communication has become an integral part of our daily lives especially the use of mobile phones has increased drastically in the past decade. But this technology has also raised some concerns among certain group of people where the concerns are mainly regarding the radiofrequency electromagnetic field (RF-EMF) exposure from mobile phones and base stations. It is believed that RF-EMF exposure from mobile phones and base stations is affecting human health. This paper seeks to develop a model on consumer health risk awareness of RF-EMF exposure from mobile phones and base stations, where we have made use of grounded theory method (GTM) and total interpretive structural modelling (TISM). GTM has been used to identify the factors influencing consumer’s awareness on health risk related issues towards RF-EMF exposure and TISM was used to establish relationship between these factors and subsequently developed a hierarchical model to improve consumer awareness in context of perceived health risks associated with it. This model is developed on the premise of informed choice, aware consumer and safer absorption of technology. This model could have high social impact for all the stakeholders in the telecommunication industry (regulator, telecom service provider and consumer).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Aaker, D. A., & Day, G. S. (1982). Consumerism (4th ed.). New York:Simon and Schuster.

  • Baliatsas, C., van Kamp, I., Bolte, J., Kelfkens, G., van Dijk, C., Spreeuwenberg, P., et al. (2016). Clinically defined non-specific symptoms in the vicinity of mobile phone base stations: A retrospective before-after study. Science of the Total Environment, 565, 714–720.

    Article  Google Scholar 

  • Beales, H., Mazis, M. B., Salop, S. C., & Staelin, R. (1981). Consumer search and public policy. Journal of Consumer Research, 8(1), 11–22.

    Article  Google Scholar 

  • Berg, M. B. G. (2000). Are mobile phones harmful? Acta Oncologica, 39(8), 927–930.

    Article  Google Scholar 

  • Blettner, M., Schlehofer, B., Breckenkamp, J., Kowall, B., Schmiedel, S., Reis, U., & Berg-Beckhoff, G. (2009). Mobile phone base stations and adverse health effects: Phase 1 of a population-based, cross-sectional study in Germany. Occupational and Environmental Medicine, 66(2), 118–123.

    Article  Google Scholar 

  • Bourgeois, J. C., & Barnes, J. G. (1979). Viability and profile of the consumerist segment. Journal of Consumer Research, 5(4), 217–228.

    Article  Google Scholar 

  • Bronfman, N. C., & Cifuentes, L. A. (2003). Risk perception in a developing country: The case of Chile. Risk Analysis, 23(6), 1271–1285.

    Article  Google Scholar 

  • Burgess, A. (2002). Comparing national responses to perceived health risks from mobile phone masts. Health, Risk and Society, 4(2), 175–188.

    Article  Google Scholar 

  • Burgess, A. (2004). Cellular phones, public fears, and a culture of precaution. Cambridge University Press New York.

  • Burton, L. J., & Mazerolle, S. M. (2011). Survey instrument validity part I: Principles of survey instrument development and validation in athletic training education research. Athletic Training Education Journal, 6(1), 27–35.

    Google Scholar 

  • Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment (Vol. 17). Sage publications.

  • Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3–21.

    Article  Google Scholar 

  • Cousin, M. E., & Siegrist, M. (2010). Risk perception of mobile communication: A mental models approach. Journal of Risk Research, 13(5), 599–620.

    Article  Google Scholar 

  • Diamond, S. L., Ward, S., & Faber, R. (1976). Consumer problems and consumerism: Analysis of calls to a consumer hot line: What kinds of people use a consumer hot line? Why do they call? What are their attitudes toward business? Journal of Marketing, 40(1), 58–62.

    Google Scholar 

  • Drake, F. (2006). Mobile phone masts: Protesting the scientific evidence. Public Understanding of Science, 15(4), 387–410.

    Article  Google Scholar 

  • Elvers, H. D., Jandrig, B., Grummich, K., & Tannert, C. (2009). Mobile phones and health: Media coverage study of German newspapers on possible adverse health effects of mobile phone use. Health, Risk and Society, 11(2), 165–179.

    Article  Google Scholar 

  • Federal Communication Commission (FCC) (2016). SAR for cell phones: What it means for you. Consumer and Governmental Affairs Bureau. http://transition.fcc.gov/cgb/consumerfacts/sar.pdf. Accessed 20 September 2018.

  • File, K. M., & Prince, R. A. (1992). Positive word–of–mouth: Customer satisfaction and buyer behavior. International Journal of Bank Marketing, 10(1), 25–29.

    Article  Google Scholar 

  • Foster, K. R. & Moulder, J. E. (2000). Are Mobile Phones Safe?. IEEE Spectrum Online.

  • Freudenstein, F., Wiedemann, P. M., & Brown, W. C. T. (2015). Exposure perception as a key indicator of risk perception and acceptance of sources of radio frequency electromagnetic fields. Journal of Environmental and Public Health, 2015, Article ID 198272, 9 pages.

  • Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. New York: Aldine.

    Google Scholar 

  • Greene, J. C. (2015). Preserving distinctions within the multimethod and mixed methods research merger. In The Oxford handbook of multimethod and mixed methods research inquiry.

  • Hadden, S. G. (1989). A citizen's right to know: Risk communication and public policy.

  • Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., & William, C. B. (1995). Multivariate data analysis: With readings. New Jersey: Prentice Hall.

    Google Scholar 

  • Howells, G. (2005). The potential and limits of consumer empowerment by information. Journal of Law and Society, 32(3), 349–370.

    Article  Google Scholar 

  • Hutter, H. P., Moshammer, H., Wallner, P., & Kundi, M. (2004). Public perception of risk concerning cell towers and mobile phones. Sozial–und Präventivmedizin/Social and Preventive Medicine, 49(1), 62–66.

    Article  Google Scholar 

  • Hutter, H. P., Moshammer, H., Wallner, P., & Kundi, M. (2006). Subjective symptoms, sleeping problems, and cognitive performance in subjects living near mobile phone base stations. Occupational and Environmental Medicine, 63(5), 307–313.

    Article  Google Scholar 

  • Johnson, B. B. (2002). Risk communication: A mental models approach. Risk Analysis, 22(4), 813–814.

    Article  Google Scholar 

  • Johnson, B. B. (2003). Further notes on public response to uncertainty in risks and science. Risk Analysis, 23(4), 781–789.

    Article  Google Scholar 

  • Johnson, B. B., & Slovic, P. (1998). Lay views on uncertainty in environmental health risk assessment. Journal of Risk Research, 1(4), 261–279.

    Article  Google Scholar 

  • Kheifets, L., Swanson, J., Kandel, S., & Malloy, T. F. (2010). Risk governance for mobile phones, power lines, and other EMF technologies. Risk Analysis, 30(10), 1481–1494.

    Article  Google Scholar 

  • Krueger, J. (1998). On the perception of social consensus. Advances in Experimental Social Psychology, 30, 163–240.

    Google Scholar 

  • Kundi, M., & Hutter, H. P. (2009). Mobile phone base stations—Effects on wellbeing and health. Pathophysiology, 16(2–3), 123–135.

    Article  Google Scholar 

  • Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.

    Article  Google Scholar 

  • Maclnnis, D. J., Shapiro, S., & Mani, G. (1999). Enhancing brand awareness through brand symbols. Advances in Consumer Research, 26(1), 601–608.

    Google Scholar 

  • Mason, J. B., & Himes, S. H., Jr. (1973). An exploratory behavioral and socio-economic profile of consumer action about dissatisfaction with selected household appliances. Journal of Consumer Affairs, 7(2), 121–127.

    Article  Google Scholar 

  • Morgan, M. G. (2002). Risk communication: A mental models approach. Cambridge: Cambridge University Press.

    Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory. Hillsdale: McGraw–Hill.

    Google Scholar 

  • Peetz-Schou, M. (1997). How to measure consumer awareness of mass–media campaigns for public health purposes. Patient Education and Counseling, 30(1), 53–59.

    Article  Google Scholar 

  • Pidgeon, N. (1998). Risk assessment, risk values and the social science programme: Why we do need risk perception research. Reliability Engineering and System Safety, 59(1), 5–15.

    Article  Google Scholar 

  • Ram, S., & Jung, H. S. (1991). How product usage influences consumer satisfaction. Marketing Letters, 2(4), 403–411.

    Article  Google Scholar 

  • Repacholi, M. H. (2001). Health risks from the use of mobile phones. Toxicology Letters, 120(1–3), 323–331.

    Article  Google Scholar 

  • Repacholi, M. H., & Muc, A. M. (1999). EMF risk perception and communication: Proceedings. World Health Organization.

  • Röösli, M. (2008). Radiofrequency electromagnetic field exposure and non–specific symptoms of ill health: A systematic review. Environmental Research, 107(2), 277–287.

    Article  Google Scholar 

  • Röösli, M., Frei, P., Mohler, E., & Hug, K. (2010). Systematic review on the health effects of exposure to radiofrequency electromagnetic fields from mobile phone base stations. Bulletin of the World Health Organization, 88, 887–896.

    Article  Google Scholar 

  • Rosa, E. A. (1998). Metatheoretical foundations for post-normal risk. Journal of Risk Research, 1(1), 15–44.

    Article  Google Scholar 

  • Siegrist, M., Earle, T. C., Gutscher, H., & Keller, C. (2005). Perception of mobile phone and base station risks. Risk Analysis: An International Journal, 25(5), 1253–1264.

    Article  Google Scholar 

  • Siro, I., Kapolna, E., Kápolna, B., & Lugasi, A. (2008). Functional food. Product development, marketing and consumer acceptance – A review. Appetite, 51(3), 456–467.

    Article  Google Scholar 

  • Strauss, A., & Corbin, J. (1998). Basics of qualitative research techniques. Thousand Oaks, CA: Sage publications.

  • Sushil, S. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management, 13(2), 87–106.

    Article  Google Scholar 

  • Valberg, P. A., Van Deventer, T. E., & Repacholi, M. H. (2006). Workgroup report: Base stations and wireless networks—Radiofrequency (RF) exposures and health consequences. Environmental Health Perspectives, 115(3), 416–424.

    Article  Google Scholar 

  • Van Kleef, E., Fischer, A. R., Khan, M., & Frewer, L. J. (2010). Risk and benefit perceptions of mobile phone and base station technology in Bangladesh. Risk Analysis, 30(6), 1002–1015.

    Article  Google Scholar 

  • Veres, Z., Hetesi, E., & Vilmányi, M. (2009). Competences versus risk reduction in higher education. International Review on Public and Nonprofit Marketing, 6(1), 51–61.

    Article  Google Scholar 

  • Warfield, J. N. (1974). Toward interpretation of complex structural models. IEEE Transactions on Systems, Man, and Cybernetics, 4(5), 405–417.

    Article  Google Scholar 

  • Warland, R. H., Herrmann, R. O., & Willits, J. (1975). Dissatisfied consumers: Who gets upset and who takes action. Journal of Consumer Affairs, 9(2), 148–163.

    Article  Google Scholar 

  • Wiedemann, P. M., & Schütz, H. (2005). The precautionary principle and risk perception: Experimental studies in the EMF area. Environmental Health Perspectives, 113(4), 402–405.

    Article  Google Scholar 

  • Wiedemann, P. M., & Schütz, H. (2008). Informing the public about information and participation strategies in the siting of mobile communication base stations: An experimental study. Health, Risk and Society, 10(6), 517–534.

    Article  Google Scholar 

  • Wiedemann, P. M., Thalmann, A. T., Grutsch, M. A., & Schütz, H. (2006). The impacts of precautionary measures and the disclosure of scientific uncertainty on EMF risk perception and trust. Journal of Risk Research, 9(4), 361–372.

    Article  Google Scholar 

  • Woodside, A. G., & Wilson, E. J. (1985). Effects of consumer awareness of brand advertising on preference. Journal of Advertising Research, 26(4), 41–48.

    Google Scholar 

  • World Health Organization (WHO) (2006). Electromagnetic fields and public health: Base stations and wireless technologies. http://www.who.int/peh-emf/publications/facts/fs304/en/. Accessed on 20 March 2019.

  • Wu, T., Shao, Q., Yang, L., Qi, D., Lin, J., Lin, X., & Yu, Z. (2012). A large-scale measurement of electromagnetic fields near GSM base stations in Guangxi, China for risk communication. Radiation Protection Dosimetry, 155(1), 25–31.

    Article  Google Scholar 

  • Yang, D. J. (2018). Exploring the communication effects of message framing of smoking cessation advertising on smokers’ mental processes. International review on Public and Nonprofit Marketing, 1-18.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rojalin Pradhan.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pradhan, R., Sagar, M., Pandey, T. et al. Consumer health risk awareness model of RF-EMF exposure from mobile phones and base stations: An exploratory study. Int Rev Public Nonprofit Mark 16, 125–145 (2019). https://doi.org/10.1007/s12208-019-00222-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12208-019-00222-6

Keywords

Navigation