000 03204nam a2200409 i 4500
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/274647764/
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020 _a9783319727004
024 7 _a10.1007/978-3-319-72700-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aHF5549.5.M63
_b2018 EB
100 1 _aNaderi, Babak
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/171132707/
_9673581
245 1 0 _aMotivation of Workers on Microtask Crowdsourcing Platforms
_cby Babak Naderi.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIV, 112 páginas)
_b42 ilustraciones, 8 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aT-Labs Series in Telecommunication Services
_x2192-2810
490 0 _aEngineering (Springer-11647)
505 0 _aIntroduction -- Theoretical Background on Motivation -- Who are Crowdworkers? -- How to Measure Motivation -- What Determines Task Selection Strategies? -- What Influences Workers' Performance? -- Conclusion and Outlook.
520 3 _aThis book studies the motivation of crowdworkers to find out how to attract more people and reach a higher quality of outcomes. The book first proposes a taxonomy for studying the motivation of crowdworkers including the potential influencing factors, different types of motivation, and possible consequences and outcomes related to the motivation. Next, the CWMS questionnaire, an instrument for measuring the underlying motivation of crowdworkers is developed. It considers different dimensions of motivation suggested by the Self-Determination Theory of motivation which is a well-established and empirically validated psychological theory used in various domains. This instrument can be used to study the effect of platform and user characteristics on the general motivation of crowdworkers. Later, the task-specific motivation of crowdworkers is studied in detail: Influencing factors are investigated, subjective methods for measuring them are evaluated, a model for predicting worker's decision on taking a task is proposed, the relative importance of different factors for two populations of crowdworkers is studied, and finally, a model for predicting the expected workload (as one of the major influencing factors) given the task design is proposed.
988 _aEBSPRINGER_2018
650 7 _2embne
_9147740
_aMotivación en el trabajo
776 0 8 _iEdición impresa:
_z9783319726991
776 0 8 _iEdición impresa:
_z9783319727011
776 0 8 _iEdición impresa:
_z9783319891989
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72700-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b05/2020
_dz
_ek
_zSI