305
Views
23
CrossRef citations to date
0
Altmetric
Risk Perception/Communication Articles

Health Concerns Versus Mobile Data Needs: Conjoint Measurement of Preferences for Mobile Communication Network Scenarios

, &
Pages 1359-1384 | Received 13 Mar 2013, Accepted 08 Aug 2013, Published online: 14 Mar 2014

REFERENCES

  • Ajzen I and Fishbein M. 1977. Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychol Bull 84:888–918
  • Ajzen I and Fishbein M. 1980. Understanding Attitudes and Predicting Social Behavior. Prentice-Hall, Englewood Cliffs, NJ, USA
  • Alhakami AS and Slovic P. 1994. A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Anal 14(6):1085–96
  • Arning K, Gaul S, and Ziefle M. 2010. “Same same but different.” How service contexts of mobile technologies shape usage motives and barriers. In: Leitner G, Hitz M, and Holzinger A (eds), HCI in Work & Learning, Life & Leisure, pp 34–54, Springer Berlin, Heidelberg, Germany
  • Arning K, Kowalewski S, and Ziefle M. 2013. Modelling user acceptance of wireless medical technologies. In: Balwant Godara, Konstantina S. Nikita (Eds.). Wireless Mobile Communication and Healthcare. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 61:146–53.
  • Baliatsas C, van Kamp I, Kelfkens G, et al. 2011. Non-specific physical symptoms in relation to actual and perceived proximity to mobile phone base stations and powerlines. BMC Public Health 11:421. . doi:10.1186/1471-2458-11-421
  • Bortkiewicz A, Gadzicka E, Szyjkowska A, et al. 2012. Subjective complaints of people living near mobile phone base stations in Poland. Internat J Occupat Med Environ Health 25(1):31–40. . doi:10.2478/s13382-012-0007-9
  • Claro E. 2007. Exchange relationships and the environment: The acceptability of compensation in the siting of waste disposal facilities. Environ Val 16:187–208
  • Cousin M-E and Siegrist M. 2010a. Risk perception of mobile communication: A mental models approach. J Risk Res 13(5):599–620
  • Cousin M-E and Siegrist M. 2010b. Public's knowledge of mobile communication and its influence on base station siting preferences. Health Risk Soc 12(3):231–50
  • Crawford R. 2004. Risk ritual and the management of control and anxiety in medical culture. Health 8:505–28
  • Dohle S, Keller C, and Siegrist M. 2010. Conjoint measurement of base station siting preferences. Hum Ecol Risk Assess 16(4):825–36
  • Ericson. 2012. Traffic and Market Data Report: On the Pulse of the Networked Society. . Available at http://www.ericsson.com/traffic-market-report (accessed July 28, 2013)
  • Farber S and Griner B. 2000. Using conjoint analysis to value ecosystem change. Environ Sci Technol 34(8):1407–12
  • Festinger L. 1957. A Theory of Cognitive Dissonance. Stanford University Press, Stanford, CA, USA
  • Finucane ML, Alhakami A, Slovic P, et al. 2000. The affect heuristic in judgments of risks and benefits. J Behavioral Decision Making 13(1):1–17
  • Fraenkel L, Bodardus S, and Wittink DR. 2001. Understanding patient preferences for the treatment of lupus nephritis with adaptive conjoint analysis. Med Care 39(11):1203–16
  • Frick U, Rehm J, and Eichhammer P. 2002. Risk perception, somatization, and self report of complaints related to electromagnetic fields–A randomized survey study. Internat J Hygiene Environ Health 205(5):353–60
  • Galesic M, Garcia-Retamero R, and Gigerenzer G. 2009. Using icon arrays to communicate medical risks: Overcoming low numeracy. Health Psychol 28(2):210–6
  • Green PE and Srinivasan V. 1990. Conjoint analysis in marketing: New developments with implications for research and practice. J Marketing 54:3–19
  • Groothuis PA, Groothuis JD, and Whitehead JC. 2008. Green vs. green: Measuring the compensation required to site electrical generation windmills in a viewshed. Energ Policy 36:1545–50
  • ITU (International Telecommunication Union). 2011. The World in 2011: ICT Facts and Figures. . Available at http://www.itu.int/ITU-D/ict/facts/2011/index.html (accessed July 28, 2013)
  • Kasperson RE, Renn O, Slovic P, et al. 1988. The social amplification of risk: A conceptual framework. Risk Anal 8(2):177–87
  • Korpinen LH and Pääkkönen RJ. 2009. Self-report of physical symptoms associated with using mobile phones and other electrical devices. Bioelectromagnetics 30(6):431–7. . doi:10.1002/bem.20500
  • Kowalewski S, Arning K. Minwegen A, et al. 2013. Extending the engineering trade-off analysis by integrating user preferences in conjoint analysis. Expert Systems Applicat 40(8):2947–55
  • Lipkus IM and Hollands JG. 1999. The visual communication of risk. J Natl Cancer I Monogr 25:149–63
  • Luce RD and Tukey JW. 1964. Simultaneous conjoint measurement. J Math Psychol 1:1–27
  • Melenhorst A-S, Rogers WA, and Bouwhuis DG. 2006. Older adults’ motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychol Aging 21(1):190–5. . doi:10.1037/0882-7974.21.1.190
  • Orme B. 2010a. Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research. 3rd Edit. Research Publishers LLC, Chicago, IL, USA
  • Orme B. 2010b. SSI Web Documentation: SSI Web v 7.0-Software for Web Interviewing and Conjoint Analyses. Sawtooth Software Inc, Sequim, WA, USA
  • Pagani M. 2004. Determinants of adoption of third generation mobile multimedia services. J Interact Mark 18(3):46–59
  • Renn O and Levine D. 1991. Credibility and trust in risk communication. In: Kasperson R and Stallen PJ (eds), Communicating Risk to the Public, pp 175–218. Kluwer Academic Publishers, Dordrecht, The Netherlands
  • Revermann C. 2003. Risiko Mobilfunk. Wissenschaftlicher Diskurs, öffentliche Debatte und politische Rahmenbedingungen, Vol 15Ed. Sigma. . Available at http://www.tab-beim-bundestag.de/de/pdf/publikationen/buecher/revermann-2003–082.pdf (accessed July 28, 2013)
  • Sackmann R and Winkler O. 2013. Technology generations revisited: The internet generation. Gerontechnology 11(4):493–503
  • Sawtooth Software. 2008a. CBC v6.0 Technical Paper. . Available at http://www.sawtoothsoftware.com/techpap.shtml (accessed July 28, 2013)
  • Sawtooth Software. 2008b. The CBC Advanced Design Module (ADM) Technical Paper (Technical Paper). Sawtooth Software Inc, Sequim, WA, USA
  • Schenk MF, Fischer ARH, Frewer LJ, et al. 2008. The influence of perceived benefits on acceptance of GM applications for allergy prevention. Health, Risk & Soc 10(3):263–82. . doi:10.1080/13698570802160947
  • Schreier N, Huss A, and Röösli M. 2006. The prevalence of symptoms attributed to electromagnetic field exposure: A cross-sectional representative survey in Switzerland. Sozial- und Präventivmedizin 51(4):202–9
  • 2001. Vascular patients’ preferences for local treatment: An application of conjoint analysis. J Health Serv Res Policy 6(3):151–7
  • Siegrist M, Earle TC, Gutscher H, et al. 200525:1253–64
  • Slovic P. 1987. Perception of risk. Science 236(4799):280–5
  • Slovic P, Fischhoff B, and Lichtenstein S. 1982. Why study risk perception? Risk Anal 2(2):83–93. . doi:10.1111/j.1539-6924.1982.tb01369.x
  • Slovic P, Fischhoff B, and Lichtenstein S. 1986. The psychometric study of risk perception. In: Covello VT, Menkes J, and Mumpower J (eds), Risk Evaluation and Management, pp. 3–24. Springer US, Boston, MA, USA. . Available at http://link.springer.com/content/pdf/10.1007/978-1-4613-2103-3_1.pdf (accessed July 28, 2013)
  • SSI Web 7.0. 2012. Sawtooth Software, Sequim, Washington, USA.
  • Swallow SK, Oplauch JJ, and Weaver TF. 1992. Siting noxious facilities: An approach that integrates technical, economic, and political considerations. Land Econ 68(3):283–301
  • Taylor S, Young A, Kumar N, et al. 2012. The Mobile Cloud: When Two Explosive Markets Collide (Cisco IBSG Research Report). . Available at http://www.cisco.com/web/about/ac79/docs/sp/Mobile-Cloud-Overview-POV.pdf (accessed July 28, 2013)
  • van Biljon J and Kotzé P. 2007. Modelling the factors that influence mobile phone adoption. In: Proceedings of the 2007 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries (SAICSIT ‘07), pp 152–61. ACM, New York, NY, USA
  • van Kleef E, Fischer ARH, Khan M, et al. 2010. Risk and benefit perceptions of mobile phone and base station technology in Bangladesh. J Risk Anal 30:1002–15
  • Warschauer M and Matuchinak T. 2010. New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes. Rev Res Educ 34(1):179–225
  • Wehmeyer K. 2005. Consumer preferences for location-based service attributes: A conjoint analysis. IJMDM 6(1):16–32
  • Wiedemann PM and Schütz H. 2005. The precautionary principle and risk perception: Experimental studies in the EMF area. Environ Health Perspect. 113(4):402–5. . doi:10.1289/ehp.7538
  • Wilkowska W and Ziefle M. 2012. Privacy and data security in E-health: Requirements from the user's perspective. Health Informatics 18(3):191–201

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.