范围(计算机科学)
文件夹
新颖性
产业组织
医药制造业
过程(计算)
产品(数学)
产品创新
业务
竞争优势
营销
新产品开发
相关性(法律)
比例(比率)
范围经济
经济
规模经济
计算机科学
财务
政治学
法学
几何学
哲学
程序设计语言
物理
操作系统
神学
生物
量子力学
生物信息学
数学
作者
Ivan Lugovoi,Dimitrios Andritsos,Claire Senot
标识
DOI:10.1287/msom.2021.1035
摘要
Problem definition: Process innovation is commonly claimed to be a major source of competitive advantage for firms. Despite this perceived influence, it has received substantially less attention than product innovation, and much uncertainty remains about its true association with firm performance. We investigate the relationship between a pharmaceutical firm’s portfolio of manufacturing process innovations and its economic performance. Academic/practical relevance: We uniquely conduct a multidimensional evaluation of a firm’s portfolio of manufacturing process innovations at the product level. This allows a quantitative evaluation of both the relative benefit of the different dimensions of a portfolio as well as the potential complementarities between these in different technological landscapes. Methodology: Through a collaboration with expert patent attorneys, we develop a unique longitudinal data set that combines secondary data and evaluations of a firm’s portfolio of process patents along two key dimensions: novelty and scope. We conduct econometric analyses for a large-scale sample of active pharmaceutical ingredients (APIs) whose product patents have expired and for which process innovation is thus the main source of competitive advantage. Results: We find a positive association between the presence of manufacturing process innovation and firm performance. However, although portfolio’s scope appears to always be beneficial to performance, the effect of novelty alone depends on the ruggedness of the technological landscape: negative in smoother landscapes and positive in more rugged landscapes. Results further suggest that novelty and scope of a portfolio of process innovations are complementary across technological landscapes. Managerial implications: Our results provide important practical insights that can inform the organization and execution of the research and development process across high-technology industries. In particular, although process innovations can be economically beneficial, investing in high-novelty process innovations without a corresponding high scope could jeopardize payoffs, especially in technological landscapes that are relatively smooth.
科研通智能强力驱动
Strongly Powered by AbleSci AI