吸收能力
星团(航天器)
样品(材料)
产业组织
业务
现存分类群
独创性
计算机科学
心理学
创造力
色谱法
社会心理学
进化生物学
生物
化学
程序设计语言
作者
Deepak Chandrashekar,M.H. Bala Subrahmanya
出处
期刊:Journal of Manufacturing Technology Management
[Emerald Publishing Limited]
日期:2017-12-14
卷期号:29 (1): 121-148
被引量:31
标识
DOI:10.1108/jmtm-05-2017-0087
摘要
Purpose The purpose of this paper is to outline the key determinants of innovation performance of a firm in a cluster. This paper probes the role of absorptive capacity in furthering the cluster linkages and thereby enhancing the innovation performance of a firm. Design/methodology/approach This study adopts stratified random sampling technique to choose sample firms from the identified population of firms in a cluster. Further, it employs primary data collection method to collect data from sample firms through a semi-structured questionnaire based in-depth interviews with the top level management of sample firms. It uses multiple linear regression (MLR) techniques to ascertain the influence of absorptive capacity on degree of cluster linkages (both intra-cluster and extra-cluster linkages), and degree of cluster linkages (both intra-cluster and extra-cluster linkages) on innovation performance of a firm. Findings On the one hand, internal factors of absorptive capacity of a firm have a significant positive influence on the degrees of both intra-cluster linkages and extra-cluster linkages. On the other hand, external factors of absorptive capacity of a firm significantly impact the degree of intra-cluster linkages (DICL). But, they have no significant influence on the degree of extra-cluster linkages (DECL). Further, both the DICL and the DECL drive innovation performance of a firm in a cluster. Notably, subsidiaries of externally based firms exhibit superior innovation performance compared to those firms based in a cluster. Originality/value This paper contributes to the extant literature in two ways. First, it empirically validates the effect of absorptive capacity of a firm on its degree of cluster linkages (both intra-cluster and extra-cluster linkages) taking into account both internal and external factors of absorptive capacity. Second, it ascertains the influence of degree of cluster linkages (both intra-cluster and extra-cluster linkages) on the innovation performance of a firm in a cluster.
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