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PurposeThis study examines how contributors with different achievement goals participate under the influence of two common motivators/demotivators on crowdsourcing platforms, namely system design features and task nature.Design/methodology/approachA free simulation experiment was conducted among undergraduate students with the use of a crowdsourcing platform for two weeks.FindingsThe results indicate that contributors with a strong performance-approach goal get better scores and participate in more crowdsourcing tasks. Contributors with a strong mastery-avoidance goal participate in fewer heterogeneous tasks.Research limitations/implicationsContributors with different achievement goals participate in crowdsourcing tasks to different extents under the influence of the two motivators/demotivators. The inclusion of the approach-avoidance dimension in the performance-mastery dichotomy enables demonstrating the influence of motivators/demotivators more specifically. This article highlights differentiation between the quality and the quantity of heterogeneous crowdsourcing tasks.Practical implicationsManagement is advised to approach performance-approach people if a leaderboard and a point system are incorporated into their crowdsourcing platforms. Also, management should avoid offering heterogeneous tasks to mastery-avoidance contributors. System developers should take users' motivational goals into consideration when designing the motivators in their systems.Originality/valueThe study sheds light on habitual achievement goals, which are relatively stable in comparison to contributors' motives and states. The relationships between achievement goals and motivators/demotivators are more persistent across time. This study informs system designers' decisions to include appropriate motivators for sustained contributor participation.

Background: Text analysis of personal documents provides insight into the cognition of those who complete suicide. Many personal documents are digitalized and easily found on the Internet, which can be used to advance suicide research. Aims: (1) To examine the temporal relationships between posting intensity and language use to sketch the suicidal process of a young man on the basis of his blog entries. (2) To investigate whether digitalized personal documents and paper documents of suicide cases have similar or different language patterns. Method: Firstly, 193 blog entries of a 13-year-old boy posted during the year prior to his suicide were analyzed using the Chinese Linguistic Inquiry and Word Count (CLIWC) program. The temporal relationships between posting intensity and language use were illustrated by time series visualization. Secondly, the findings of this case study were compared with previous case studies from a systematic search of three Ovid databases. Results: Posting frequency and language use in the blog helped sketch the suicidal process of the young boy. In this case study, the ratio of positive to negative emotion words was associated with the posting trend. Progressive self-referencing appeared to be a primary predictive sign of suicide. However, the comparison did not show other clearly consistent patterns. Conclusion: Digitalized personal documents, when interpreted with other information of the individual, provide insight into the suicidal process of completed suicides. This study extends the findings of psycholinguistic analyses of suicides to the Chinese social context and online document form.