概率性奖励:移动互联情景下的松散型人力资源激励新思路

Probabilistic Reward: A New Approach to Motivate Loose Human Resources in the Mobile Internet Context

为解决移动互联情境下松散型人力资源的激励难题,本文采用扎根理论的方法探索归纳了松散型人力资源特点,并结合概率性奖励的理论与实践案例,建构了松散型人力资源概率性奖励理论模型。研究发现,概率性奖励应从参与条件、奖励类型、奖励额度、交流范围、接受反馈等五个方面进行设定,并依据模型给出了相应的管理建议。

To solve the problem of motivating loose human resources in the mobile internet context, the present study adopts a ground theory method to explore characteristics of the loose human resources, and ,constructs a probabilistic reward theory model of loose human resources based on theory and practices of probabilistic reward. Our study suggests that probabilistic reward should be defined by participating requirements, type of rewards, amount of rewards, scope of exchange, and feedback receiving. Accordingly, we propose managerial implications for motivating loose human resources.