Motivating crowdworkers by managing expectations

Karim, Shakir; Shaikh, Umair Uddin; Asif, Zaheeruddin

doi:10.1109/icriis.2017.8002539

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…As the idea of motivation is relatively old, out of many, the most recognized theories that are identified from literature that has established and presented work to understand the psychology of motivation over the past are SDT [31][32][33][34] , game [35,36] , gamification [37,38] , social cognitive theory [28,39,40] , and EVT [9,41,42] . These theories have also shown to be valuable and have grown in favor over the last few decades.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review

Humayun,

Malik,

Ghazali

2024

Int. J. Crowd Sci.

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Motivational theories have been extensively studied in a wide range of fields, such as medical sciences, business, management, physiology, sociology, and particularly in the natural sciences. These theories are regarded as crucial in motivating online workers to engage in crowdsourcing. Nevertheless, there is a dearth of research on an overarching review of these theories. We performed a systematic literature review of peer-reviewed published studies focusing on motivational theories to identify popular theories and risks associated with nascent theories presented over the last decade in crowdsourcing. Based on a review of 91 papers from the domain of the natural sciences, we identified 35 motivational theories. The long tail theory helped us to identify the contribution of major influencing theories in a crowdsourcing environment. The results justify the long tail theory based on the Pareto principle of 80/20, which underlines the 20% of the popular motivation theories, namely self-determination, expectancy-value, game, gamification, behavior change, and incentive theory, as a cause of 80%. Similarly, we discussed the risks associated with 10 theories presented over the long tail, which have a frequency equal to 2. Understanding the significant impact, approximately 80%, of widely recognized motivational theories and their role in risk identification is crucial. This understanding can assist researchers in optimizing their results by effectively integrating these theories.

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Section: Related Workmentioning

confidence: 99%

Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review

Humayun,

Malik,

Ghazali

2024

Int. J. Crowd Sci.

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“…Different from the above food ontology serving special populations, the unified Traveler and Nutrition ontology 49 can support food recommendation to help general tourists make personalized food-related choices and develop a healthy food plan. This recommendation system is required to give recommendations by combining various factors from the food itself to the cultural requirements of tourists and regions of interest.…”

Section: Development Of the Food Knowledge Graphmentioning

confidence: 99%

Applications of knowledge graphs for food science and industry

Min

et al. 2022

Patterns

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“…One of the major challenges which contribute to low quality of outcome is that workers, in general, opt for the task(s) in which their capabilities do not match. Even most crowd workers, with sufficient knowledge and skill, could not get the second task if they underperform in the first task [15]. Worker's motivation is another challenge, as reported by [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, challenging task plays its role to entice the worker intrinsically and is used to attract more workers to perform on a particular task, as challenging yet achievable tasks have the potential to keep the motivation of an individual [24]. Some of the possible reasons reported in the literature for the low quality of submissions from the crowd worker include lack of knowledge among the crowd [25], reduced capability [15,26], biased attitude toward rewards [13], malicious activities such as fake reviews to fulfill foul interests [27], lesser control on crowd workers due to their temporary connectedness with the requesters/solution seekers [28], and less knowledge about the capable crowd [29]. However, the integrative perspective of capability and motivation in current crowdsourcing research is scarce.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Relationship between Capability and Motivation of Crowd Worker to Get Better Performance: A Mathematical Approach

Karim

Asif

2021

Mathematical Problems in Engineering

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The quality of tasks performed by a crowd worker is questionable. Most of the workers are lost if their first work is of low quality, which may influence them to acquire future work in crowdsourcing. Research has highlighted that workers either lack motivation or capability. However, the integrative perspective of capability and motivation in current crowdsourcing research is scarce. There is a need to investigate the relationship of capability and motivation of crowd worker to understand the phenomenon of getting better performance, which ultimately produces a quality outcome. This research aims toward understanding such relationship with mathematical perspective. The traditional renowned and well-accepted theories related to job performance are used for the quantification of motivation, capability, and performance for crowd workers to investigate the impact of capability in relation to the motivation on the performance of crowd worker. Experimental results suggest that formulae will benefit the requester to evaluate the performance of a crowd worker before providing him/her the task and benefit in reducing unemployment in the situation of COVID-19 pandemic.

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Motivating crowdworkers by managing expectations

Cited by 7 publications

References 18 publications

Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review

Analysis of Motivational Theories in Crowdsourcing Using Long Tail Theory: A Systematic Literature Review

Applications of knowledge graphs for food science and industry

Investigating the Relationship between Capability and Motivation of Crowd Worker to Get Better Performance: A Mathematical Approach

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