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Técnica Delphi Móvil×Encuesta móvil×
CampoMetodología de encuestasMetodología de encuestas
FamiliaProcess / pipelineProcess / pipeline
Año de origenClassic Delphi: 1950s; mobile variant: 2000s–2010sLate 2000s–2010s (accelerated with smartphone adoption, ~2007–2015)
Autor originalOlaf Helmer, Norman Dalkey, Nicholas Rescher (RAND Corporation) — mobile adaptation emerged early 21st centuryEmerged from web survey methodology researchers (Couper, Buskirk, Toepoel, and others)
TipoIterative expert consensus techniqueQuantitative / mixed data collection technique
Fuente seminalHasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing, 32(4), 1008–1015. DOI ↗Toepoel, V., & Lugtig, P. (2014). What happens if you offer a mobile option to your web panel? Evidence from a probability-based panel of internet users. Social Science Computer Review, 32(4), 544–560. DOI ↗
Aliasmobile Delphi, smartphone Delphi, mDelphi, mobile consensus surveysmartphone survey, mobile web survey, mobile questionnaire, m-survey
Relacionados66
ResumenThe Mobile Delphi Technique applies the structured, iterative Delphi consensus process through smartphone or tablet interfaces, enabling geographically dispersed expert panels to participate in multiple rounds of rating and feedback from any location. It preserves the anonymity and controlled feedback loop of the classic Delphi while reducing response latency through push notifications and mobile-optimised questionnaires.A mobile survey is a self-report questionnaire designed and administered through smartphones or tablets, either via a mobile-optimized web browser or a dedicated app. As mobile devices became the dominant mode of internet access globally, surveys must be built for small screens, touch interaction, and variable connectivity. Mobile surveys are used across social science, public health, market research, and organizational studies when reaching respondents in their natural, everyday context is a priority.
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ScholarGateComparar métodos: Mobile Delphi Technique · Mobile Survey. Recuperado el 2026-06-18 de https://scholargate.app/es/compare