534 research outputs found
Sustaining Participant Involvement in Crowdsourcing Contests through Collaboration
With the advances in internet technologies and the emergence of crowdsourcing, organizations are now increasingly looking outside their boundaries for solving problems. Yet, the success of crowdsourcing processes depends on the sustained participation of crowdsourcing individuals. Previous studies have mainly focused on understanding individualsâ initial motivation for participation with few focusing on the factors that affect individualsâ sustained participation in crowdsourcing contests. None of these studies examined how collaboration affects individualsâ participation behavior in crowdsourcing contests. This study attempts to understand how individualsâ collaboration (in the form of comments and votes) affects their sustained participation in online problem solving contests. This study uses data from the Kaggle website that holds online data science competitions in which individuals submit their proposed solutions with the best solutions being rewarded. Our results show that individuals who receive more attention from other members tend to come back and maintain their participation in the platform
The Impact of Helping Others in Coopetitive Crowdsourcing Communities
Organizations are increasingly engaging the community through crowdsourcing platforms to evolve innovative solutions to challenging business problems. Participants on such platforms often simultaneously cooperate and compete with one another to earn top honors. This paper addresses the imperative to understand the dynamics of knowledge sharing in such a coopetitive environment. Specifically, our study relies on the conceptual foundations of social exchange and social capital theories to investigate how help rendered (e.g., exchanging ideas or sharing knowledge) by participants in an online coopetitive crowdsourcing setting affects their performance. Furthermore, the study examines the moderating effects of the intensity of competition. Results of our econometrics analyses suggest that help given in a highly competitive contest, as opposed to a less competitive one, is more likely to be reciprocated, but less likely to improve the contributorâs contest performance. In addition, our study found that help received by participants positively impacts their contest performance, and partially mediates the relationship between help rendered and contest performance. This research also provides insight into what motivates participants to share knowledge under conditions of coopetition. The findings of our study have strong implications for both theory and practice
Idea Contests: How to Design Feedback for an Efficient Contest
Inviting the public or a targeted group of individuals to submit their ideas or solutions to a specific problem or challenge within a predefined period of time is called an âidea contest.â Idea contests are the straightforward mechanism to solicit and leverage the innovation and the intelligence of thousands of individuals. With the advent of the Internet, companies can easily organize idea contests with an easy access for anyone to participate from anywhere around the world. A contest organizer needs to design a contest so that more individuals are encouraged to participate, generate more innovative ideas/solutions, and to remain active throughout the contest. In my dissertation, I explore the effects of idea contest parameters âsuch as award size and structure, contest duration, the visibility of submissions, and the feedback- on the participation, motivation, and performance of individuals before and after joining a contest.
Feedback, as the primary focus of my dissertation, is a less studied parameter in the context of idea contests. In my first essay, I investigate the relative importance of each contest design parameter, particularly feedback, with each other in motivating individuals to participate in a contest. In this regard, I both ran a conjoint study among real designers and collected online data from 99designs website. Feedback plays an important role in increasing the likelihood of participation and the participation rate for an idea contest. In the second essay, I explore the effect of two different types of feedback âabsolute vs. relative- on the performance of participants during an idea contest. By running a real contest with participants from a major public university, I measured how participants in an idea contest react to different types of feedback. The likelihood of revising ideas as well as the quality of ideas submitted were the primary dependent variables in this field experiment.Marketing and Entrepreneurship, Department o
Eyes on the Prize: Increasing the Prize May Not Benefit the Contest Organizer in Multiple Online Contests
Given the proliferation of online platforms for crowdsourcing contests, we address the inconsistencies in the extant literature about the behavioral effects of increasing the prize awarded by contest organizers. We endeavor to resolve these inconsistencies by analyzing user behavior in a highly controlled experimental setting in which users can participate (by exerting real effort rather than stated effort) in multiple online contests that vary only in their prizes. The analysis of the behavior of 731 active participants in our first experiment showed that both participation and effort were non-monotonic with the prize, that the low-prize contest was the most effective for the organizers, and that increasing the prize of the low-prize or high-prize contest by 50% actually decreased the benefits for organizers. Our findings advance theory by providing insight into when and why extrinsic incentives fail to produce the desired effects in crowdsourcing contests
Understanding the Role of Bounty Awards in Improving Content Contribution: Bounty Amount and Temporal Scarcity
The bounty award system has been implemented on UGC platforms to address specific issues and improve content contributions. This study aims to assess its effectiveness by examining the bounty amount and temporal scarcity. Based on the optimistic bias theory, we posit that the competition for bounty awards among users can have a positive effect, as users may overestimate their chances of winning and persist in their efforts. Additionally, we hypothesize that the amount of bounty award does not have a linear effect on the quantity and quality of user-generated content, but instead follows an inverted U-shaped relationship. Furthermore, drawing on the stuck-in-the-middle (STIM) effect, we hypothesize that temporal scarcity influences contributors\u27 effort allocation in a U-shaped relationship. By exploring these hypotheses, we aim to advance the understanding of the underlying mechanisms of bounty awards and contribute to the development of effective peer incentive strategies
Understanding Crowdsourcing Contest Fitness Strategic Decision Factors and Performance: An Expectation-Confirmation Theory Perspective
Contest-based intermediary crowdsourcing represents a powerful new business model for generating ideas or solutions by engaging the crowd through an online competition. Prior research has examined motivating factors such as increased monetary reward or demotivating factors such as project requirement ambiguity. However, problematic issues related to crowd contest fitness have received little attention, particularly with regard to crowd strategic decision-making and contest outcomes that are critical for success of crowdsourcing platforms as well as implementation of crowdsourcing models in organizations. Using Expectation-Confirmation Theory (ECT), we take a different approach that focuses on contest level outcomes by developing a model to explain contest duration and performance. We postulate these contest outcomes are a function of managing crowdsourcing participant contest-fitness expectations and disconfirmation, particularly during the bidding process. Our empirical results show that contest fitness expectations and disconfirmation have an overall positive effect on contest performance. This study contributes to theory by demonstrating the adaptability of ECT literature to the online crowdsourcing domain at the level of the project contest. For practice, important insights regarding strategic decision making and understanding how crowd contest-fitness are observed for enhancing outcomes related to platform viability and successful organizational implementation
The Crowd on the Assembly Line: Designing Tasks for a Better Crowdsourcing Experience
Leveraging crowd potentials through low paid crowdsourcing micro-tasks has attracted great attention in the last decade as it proves to be a powerful new paradigm to get large amounts of work done quickly. A main challenge for crowdsourcers has been to design tasks that trigger optimum outputs from the crowd while providing crowdsourcees with an experience that would attract them to the platform in the future. Drawing mainly from expectancy theory and the motivation through design of work model, we develop and test a theoretical framework to explore the impact of extrinsic reward valence and perceived task characteristics on perceived output measures in crowdsourcing contexts. We specifically focus on the impact of three crowdsourcing task dimensions: autonomy, skill use, and meaningfulness. Our findings provide support for our model and suggest ways to improve task design, use extrinsic rewards, and provide an enhanced crowdsourcing experience for participants
Cryptocurrency Rewards and Crowdsourcing Task Success
Crowdsourcing task success depends on the contributions of developers. How to identify capable developers and motivate them to actively contribute to a task is a challenging issue. This study investigates how the use of cryptocurrency rewards, i.e., the choices of stablecoins and unstablecoins affects the crowdsourcing task success, and how the relationship depends on task difficulty. Based on 3858 crowdsourcing tasks, we find that the use of unstablecoins reduces the number of participating contributors and extends the time period of having the first contributor, but has no significant effect on the likelihood of task success. In addition, task difficulty alleviates the negative effect of the unstablecoins on the number of participants. Our study potentially provides important implications for the use of cryptocurrency tokens as task rewards
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