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- Ellinger, Eleunthia, Wong, et al.
(författare)
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Skin in the Game : The Transformational Potential of Decentralized Autonomous Organizations
- 2024
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Ingår i: MIS Quarterly: Management Information Systems. - : Management Information Systems Research Center. - 2162-9730 .- 0276-7783. ; 48:1, s. 245-272
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Tidskriftsartikel (refereegranskat)abstract
- Decentralized autonomous organizations (DAOs)—collectively owned human-machine systems deployed on a blockchain that self-govern through smart contracts and the voluntary contributions of autonomous community members—exhibit the potential to facilitate collective action in managing digital commons. Yet the promise of decentralization and collective action is difficult to sustain. To this end, this paper critically examines the transformational potential of DAOs in the case of decentralized finance. Using a polycentric governance lens, we contribute to the literature on technology-enabled forms of organizing with a model explaining the transformational potential of DAOs to facilitate collective action in digital commons. Our study highlights that (1) DAOs are a new form of organizing enabled by blockchain technology in which individuals are free to pursue their objectives within a general system of rules enforced by smart contracts, (2) collective action for managing digital commons can be sustained through a set of three mechanisms—sustained participation, collective direction, and scaled organizing, and (3) DAOs tend to strike a balance between centralized and fully decentralized or community-based governance by implementing a polycentric governance system involving a combination of human and machine agency that creates skin in the game.
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| 2. |
- Stanaway, Jeffrey D., et al.
(författare)
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- 2018
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Ingår i: The Lancet. - 1474-547X .- 0140-6736. ; 392:10159, s. 1923-1994
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Tidskriftsartikel (refereegranskat)abstract
- Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk- outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.
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