系统地回顾了2000年以来创新领域关于组织搜索的文献。主要解决2个问题:①组织搜索产生混乱的原因是什么?②怎样才能澄清这些混乱,减少研究中的模糊性?为了回答这2个问题,利用搜索广度和搜索深度2个不同的搜索方向对组织搜索建立了分类模型,发现产生混乱的根本原因在于对搜索广度范围的界定,以及与搜索深度的平衡路径存在不一致。针对以上2个问题,首先从知识类型和知识距离2个维度,提出了多维跨界搜索的概念;然后提出了一个演化式搜索的整合框架,为搜索广度和搜索深度的平衡提供具体的实现路径。旨在协调和整合现有研究中存在的不一致,并为将来的研究提供建议,同时对企业的实践活动提供指导。
This paper focuses in particular on the interpretation in the literatures of technological innovation since 2000 and addresses two critical research questions.First,what are the reasons to the ambiguity of organization search concept? Second,how can we reconcile these differences and reduces the ambiguity? To answer these questions,we firstly analysis the root cause of these different viewpoints are the inconsistency boundaries to define search scope and the inconsistency about how to balance search scope and search depth.In response to the two questions above,we first develop a new concept of multidimensional boundary-spanning search based on knowledge types and knowledge distance.Then we set up an integrated framework of evolutionary search and show the paths to balance the scope and depth.So this paper coordinates and integrates the inconsistent interpretations in current research and has great importance for both theory and practice.