在线群体研讨的信息组织结构研究

发布时间：2018-07-18 10:22

【摘要】：虽然在线研讨平台已经广泛应用并受到学术界的大量关注,它的信息组织结构却还是停留在非常原始的阶段.关于哪一类信息组织结构更适合在线研讨的研究一直很少,仅有的一些研究也很零散,并且研究结果难以统一,因此就非常迫切需要可以系统化解释在线群体研讨中最优信息组织结构的理论.文章从任务—技术匹配的观点出发,从沟通、协调组织和信息处理3个维度阐述了任务和信息组织结构之间的匹配关系,并将其用于预测不同任务—技术匹配环境下的研讨绩效.设计了实验来验证这种匹配关系与研讨绩效之间的关系.实验结果表明,对主意产生型任务,采用线性结构的研讨平台比采用树状结构的研讨平台具有更高的研讨绩效;对于决策型任务,采用树状结构的研讨平台比采用线性结构的研讨平台具有更高的研讨绩效.所展示的匹配分析的理论和方法具有一定的扩展性,当有新类型任务到来或新技术被发明时,就可以用这种方法去分析新任务和新技术的匹配性,进而预测群体的绩效.
[Abstract]:Although the online research platform has been widely used and received a lot of attention from the academic community, its information organization structure is still in a very primitive stage. There has been little research on which type of information organization structure is more suitable for online discussion, and only a few studies have been scattered, and the results are difficult to unify. Therefore, there is an urgent need to systematize the theory of optimal information organization structure in online group research. From the point of view of task-technology matching, this paper expounds the matching relationship between task and information organization structure from the three dimensions of communication, coordination organization and information processing. It is used to predict the research performance in different task-technology matching environments. Experiments are designed to verify the relationship between this matching relationship and research performance. The experimental results show that the research platform with linear structure is more effective than the one with tree structure for the idea producing task, and for the decision type task, The research platform with tree structure has higher research performance than that with linear structure. The theory and method of matching analysis presented in this paper have certain expansibility. When a new type of task comes or a new technology is invented, this method can be used to analyze the matching between new task and new technology, and then predict the performance of the group.
【作者单位】：华东理工大学商学院;上海交通大学安泰经济与管理学院;
【基金】：国家自然科学基金资助项目(71371005) 国家自然科学青年基金资助项目(71001038)
【分类号】：C936

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