嵌入性
业务
文件夹
产业组织
关系视图
营销
集合(抽象数据类型)
价值(数学)
微观经济学
经济
社会学
财务
人类学
计算机科学
机器学习
程序设计语言
作者
John Mawdsley,Deepak Somaya
出处
期刊:Organization Science
[Institute for Operations Research and the Management Sciences]
日期:2021-07-01
卷期号:32 (4): 1009-1032
被引量:12
标识
DOI:10.1287/orsc.2020.1415
摘要
The current paper complements and extends traditional Penrosean theories of firm growth by examining how a (supplier) firm’s relational embeddedness with its portfolio of existing buyers affects its business growth. Our theorizing rests on the foundation that a firm’s business growth stems from its breadth (or volume) of opportunities for creating added value with buyers, which more fully realizes the Penrosean vision that firm growth can be explained by a dynamic interaction between productive resources and demand-side market opportunities. Although relational embeddedness may give a supplier dyadic advantages with focal buyers, which supports business growth, we theorize that it can also lead to narrower added value business opportunities with the supplier’s entire portfolio of buyers. Critically, we hypothesize that the effect of relational embeddedness on business growth is moderated by a set of relational and demand-side attributes. These hypotheses are tested on a panel data set of patent law firms (suppliers) and their relationships with corporate clients (buyers). We find that greater relational embeddedness is associated with slower supplier business growth, and consistent with our hypotheses, this negative effect is alleviated when these firms have greater cross-servicing ability and receive more relational commitment from buyers but exacerbated when suppliers hold more buyer-specific knowledge and when buyers undertake more (internal) concurrent sourcing. In turn, our research demonstrates how the attributes of a supplier’s relationships with its portfolio of buyers can impact access to new business opportunities and thus opens up new directions for research on firm growth, demand-side strategy and buyer-supplier relationships.
科研通智能强力驱动
Strongly Powered by AbleSci AI