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Innovation implementation in high technology manufacturing: A chaos‐theoretic empirical analysis
Author(s) -
Jayanthi Shekhar,
Sinha Kingshuk K.
Publication year - 1998
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/s0272-6963(98)00025-4
Subject(s) - conceptualization , computer science , chaotic , process (computing) , empirical research , advanced manufacturing , frame (networking) , process management , industrial engineering , manufacturing engineering , knowledge management , business , engineering , artificial intelligence , mathematics , telecommunications , statistics , operating system
This paper conceptualizes the process of innovation implementation in high technology manufacturing, a natural setting of multiple and ongoing innovation implementation. Building on the developments in organizational learning theory, we frame the process of innovation implementation in high technology manufacturing as a problem of balancing between exploitation and exploration. Through the application of a logistic difference equation, we provide insights into the dynamics of balancing between exploitation and exploration, and show that innovation implementation in high technology manufacturing can be conceptualized as a chaotic process, in a scientific sense. Using time series data from a wafer fabrication plant, the high technology manufacturing plant that served as our research site over a period of 125 weeks, we test this conceptualization. We find empirical support for the conceptualization of innovation implementation in high technology manufacturing as a chaotic process. We discuss the managerial implications of our study's findings, and the directions for the future research.