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Differences in influence patterns between groups predicting the adoption of a solar disinfection technology for drinking water in Bolivia

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  • Moser, Stephanie
  • Mosler, Hans-Joachim

Abstract

The lack of safe drinking water is one of the major problems faced by developing countries. The consequences of contaminated water are diseases such as diarrhea, one of the main causes of infant mortality. Because of its simplicity, solar water-disinfection technology provides a good way of treating water at the household level. Despite its obvious advantages and considerable promotional activities, this innovation has had rather a slow uptake. We conducted a field survey in which 644 households in Bolivia were interviewed in order to gain insights on motivations that resulted in adopting the technology. The aim was to examine possible differences in the predictors for adopting this technology during the diffusion process using the theory of innovation diffusion. Our findings indicate that early adoption was predicted by increased involvement in the topic of drinking water and that adoption in the middle of the diffusion process was predicted by increased involvement by opinion leaders and by recognition of a majority who supported the technology. Finally, late adoption was predicted by recognition that a majority had already adopted. Suggestions for future promotional strategies are outlined.

Suggested Citation

  • Moser, Stephanie & Mosler, Hans-Joachim, 2008. "Differences in influence patterns between groups predicting the adoption of a solar disinfection technology for drinking water in Bolivia," Social Science & Medicine, Elsevier, vol. 67(4), pages 497-504, August.
    • Handle: RePEc:eee:socmed:v:67:y:2008:i:4:p:497-504
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    2. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.
    3. Bentley, R. Alexander & Ormerod, Paul, 2010. "A rapid method for assessing social versus independent interest in health issues: A case study of 'bird flu' and 'swine flu'," Social Science & Medicine, Elsevier, vol. 71(3), pages 482-485, August.
    4. Parker Fiebelkorn, Amy & Person, Bobbie & Quick, Robert E. & Vindigni, Stephen M. & Jhung, Michael & Bowen, Anna & Riley, Patricia L., 2012. "Systematic review of behavior change research on point-of-use water treatment interventions in countries categorized as low- to medium-development on the human development index," Social Science & Medicine, Elsevier, vol. 75(4), pages 622-633.
    5. Robert Tobias & Jennifer Inauen, 2010. "Gathering Time-Series Data for Evaluating Behavior-Change Campaigns in Developing Countries: Reactivity of Diaries and Interviews," Evaluation Review, , vol. 34(5), pages 367-390, October.
    6. Si Chen & Xingchen Liu & Jiaqi Yan & Guangwei Hu & Yani Shi, 2021. "Processes, benefits, and challenges for adoption of blockchain technologies in food supply chains: a thematic analysis," Information Systems and e-Business Management, Springer, vol. 19(3), pages 909-935, September.

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