Evidence map›Paper›PMID 41477601›Full record

ArticleFrontiers in psychology2025

How addiction fuels innovation: a mixed-methods study on the psychological trade-offs of digital labor in gig economy.

Bingnan Liu, Vincenzo Liu, Kai He, Jiayu Ou

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bingnan LiuSchool of Business, Macau University of Science and Technology, Taipa, Macao SAR, China.
Vincenzo LiuSchool of Business, Macau University of Science and Technology, Taipa, Macao SAR, China.
Kai HeInternational Business School, Jinan University, Zhuhai, China.
Jiayu OuSchool of Finance, Zhongnan University of Economics and Law, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As digitalization reshapes the global labor market, digital laborers in the gig economy face distinct psychological pressures stemming from constant hyperconnectivity, algorithm-driven coordination, and inherently unstable employment relationships. Employing a mixed-methods approach that combines data from 20 semi-structured interviews and 1,041 questionnaire responses, this study develops a research model to understand the mechanisms of digital crowdworkers' addiction and its impact on enhancing innovation implementation. The results indicate that the affordance of gamification on crowdsourcing platforms, the self-worth pursuit of crowdsourced digital laborers, and their skill enhancement exert a positive impact on crowdworkers' addiction and innovative behaviors. The findings suggest that digital crowdworkers' behavioral addiction may motivate their innovative behavior, demonstrating that irrational psychological mechanisms can be transformed into instrumental innovation. The study reveals the dual effects of the platform economy on addictive behaviors and offers a new framework for organizations to balance short-term innovation efficiency gains with long-term sustainable development.

Indexed as

addictioncrowdworkersdigital labor psychologygamification affordancesinnovationmixed method

Identifiers

PMID41477601
PMCPMC12747959

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.