دانلود مقاله با موضوع مدل سازی جمعیت: جمع آوری دیدگاه های غیر کارشناسی

دانلود مقاله با موضوع مدل سازی جمعیت: جمع آوری دیدگاه های غیر کارشناسی  

 

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موضوع به انگلیسی:Crowd modelling: aggregating
non-expert views as a method
for theorizing

بخشی از متن:Abstract
Purpose – This paper aims to introduce a crowd-based method for theorizing. The purpose is not to achieve
a scientific theory. On the contrary, the purpose is to achieve a model that may challenge current scientific
theories or lead research in new phenomena.
Design/methodology/approach – This paper describes a case study of theorizing by using a crowd-based
method. The first section of the paper introduces what do the authors know about crowdsourcing, crowd science
and the aggregation of non-expert views. The second section details the case study. The third section analyses
the aggregation. Finally, the fourth section elaborates the conclusions, limitations and future research.
Findings – This document answers to what extent the crowd-based method produces similar results to
theories tested and published by experts.
Research limitations/implications – From a theoretical perspective, this study provides evidence to
support the research agenda associated with crowd science. The main limitation of this study is that the
crowded research models and the expert research models are compared in terms of the graph. Nevertheless,
some academics may argue that theory building is about an academic heritage.
Practical implications – This paper exemplifies how to obtain an expert-level research model by
aggregating the views of non-experts.
Social implications – This study is particularly important for institutions with limited access to costly
databases, labs and researchers.
Originality/value – Previous research suggested that a collective of individuals may help to conduct all
the stages of a research endeavour. Nevertheless, a formal method for theorizing based on the aggregation of
non-expert views does not exist. This paper provides the method and evidence of its practical implications.
Keywords Crowdsourced research, Crowdsourcing, Crowd science, Theory building, Theorizing,
Citizen science
Paper type Case study

 

 

 


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