Methodology
In this research I will use the methodology used by Woo-Yong Park in research policy (Park, W. Y., &
Tangpong, C. (2021). Performance and survival implications of sourcing choice sequence across an
architectural innovation life cycle. Journal of Operations Management, 67(6), 656-679.).
In this research I will use empirical data and non-probabilistic methodology. In this methodology firstly
will segregate the required data collected from industries who have implemented radical and incremental
innovation and eco-innovation technologies adaptation then distinguish the dependent, independent,
control variable and use the co-relation research methodology to find the relation between these variables
and hypothesis testing.
Analysis
In analysis I will use hypothesis testing to find out what kind of variables are being affected, the same or
less or more by the factors of that environment. Then in this research we will use performance model and
cost model used in (Geisler, E. (1995). An integrated cost-performance model of research and
development evaluation. Omega, 23(3), 281-294). And try to find the performance and cost-effectiveness
of current systems.
We may also use LISEREK Regression to predict on the base of current situation and find what will the
effect on the eco-innovation not only on adaptation but also on business performance (Customer
satisfaction and job satisfaction, ) used in this research paper (chmitt, N., & Bedeian, A. G. (1982). A
comparison of LISREL and two-stage least squares analysis of a hypothesized life–job satisfaction
reciprocal relationship. Journal of Applied Psychology, 67(6), 806–817). And some dependent variable
used in Research policy of Woo-Yong Park: Financial Performance Cost and Price, Technology
Performance (Park, W. Y., & Tangpong, C. (2021). Performance and survival implications of sourcing
choice sequence across an architectural innovation life cycle. Journal of Operations Management, 67(6),
656-679.). and compare those with multi-group analysis, fit regression model, cross validation goodness
of fit, Auto-correlation
We may also use the 1st stage performance and 2nd stage performance model and compare them to find
out, what kind of environment would increase the eco-innovation performance and make the adaptation
feasible as it can by eliminating the negative factors.
These analysis techniques are not limited but are based on the data requirements.