Iterative Coordination and Innovation: Prioritizing Value over Novelty
成果类型:
Article
署名作者:
Ghosh, Sourobh; Wu, Andy
署名单位:
Harvard University; Harvard University
刊物名称:
ORGANIZATION SCIENCE
ISSN/ISSBN:
1047-7039
DOI:
10.1287/orsc.2021.1499
发表日期:
2023
页码:
2182-2206
关键词:
innovation
novelty
Value
ORGANIZATIONS
goals
integration
specialization
COORDINATION
field experiment
software development
Agile
scrum
Iteration
iterative
摘要:
An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent-meetings to prioritize between these goals, a practice we refer to as iterative coordination. Despite iterative coordination's widespread use in innovation management, its effects on novelty and value in innovation remain unknown. With the information technology firm Google, we embed a field experiment within a hackathon software development competition to identify the effect of iterative coordination on innovation. We find that iterative coordination causes firms to implicitly prioritize value in innovation: Although iteratively coordinating firms develop more valuable products, these products are simultaneously less novel. Furthermore, by tracking software code, we find that iteratively coordinating firms favor integration at the cost of knowledge-creating specialization. A follow-on laboratory study documents that increasing the frequency and opportunities to reprioritize goals in iterative coordination meetings reinforces value and integration, while reducing novelty and specialization. This article offers three key contributions: highlighting how processes to prioritize among multiple performance goals may implicitly favor certain outcomes; introducing a new empirical methodology of software code version tracking for measuring the innovation process; and leveraging the emergent phenomenon of hackathons to study new methods of organizing.
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