کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7255943 1472376 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling the evolution of system technology performance when component and system technology performances interact: Commensalism and amensalism
ترجمه فارسی عنوان
مدل سازی تکامل عملکرد سیستم های فن آوری زمانی که اجزای فن آوری مولفه و سیستم ارتباط برقرار می کنند: کمال گرایی و آمیزلیسم
کلمات کلیدی
تکامل فناوری، معادلات لوتکا و ولترا، تکنولوژی سازمانی، فناوری پیشرفته، پیش بینی فناوری، اکوسیستم فناوری،
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی
The interaction between technologies critically determines technology evolution. Commensalism and amensalism are two common relationships between component and system technologies but have attracted scant research attention. In both the relationships, the component technology performance is unaffected by the system technology performance. However, as the component technology performance improves, the system technology performance is enhanced in commensalism but inhibited in amensalism. We model commensalism and amensalism and predict the evolution of system technology performance using Lotka-Volterra equations. In these two scenarios, we decouple the equations and derive the general analytic solution for system technology performance. We also deduce the corresponding solutions for cases where the component technology performance follows a logistic function or simple exponential growth. The solutions consider the impact on system technology performance of changes in component technology performance and enable us to predict the future performance evolution of system technology. We demonstrate the prediction accuracy of our model through an empirical study of the concrete skyscraper technology. We also interpret the parameters in Lotka-Volterra equations and explore strategies to boost system technology performance. The analytic solutions and parameter interpretations allow practitioners and policy makers to use our model as a strategic management tool for their future work.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 125, December 2017, Pages 116-124
نویسندگان
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