Crowdsourcing is a complex task-solving model that utilizes humans for solving organizational specific problems. For assigning a crowdsourced task to an online crowd, crowd selection is carried out to select appropriate crowd for achieving the task. The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. Early decisions regarding selection of a crowd can ultimately lead to successful completion of tasks. To select most appropriate crowd from crowdsourcing, this paper presents a decision support system (DSS) for appropriate selection of crowd. The system has been implemented in the Superdecision tool by plotting hierarchy of goals, criteria, and alternatives. Various calculations have been done for performing the proposed research. Results of the study reveal that the proposed system is effective and efficient for selection of crowd in crowdsourcing by performing various pairwise computation of the study.

Abstract:In the "Internet plus" era, films that adapted from Intellectual Property (hereinafter referred to as IP) have swept the market. As a new force, such adaptations of tomb theme novels suddenly rise, gaining a foothold in the box-office market rapidly. By dissecting the strengths, weaknesses,opportunities and threats of these tomb IP movies according to analytic method of SWOT, this essay puts forward SO, WO, ST and WT four development strategies. And by comparing the strategies combo, the paper explores an effective way for tomb IP movies to survive, which also give a thought-provoking guide to domestic films.

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