Existing sustainability impact evaluation frameworks have limited suitability for developing economies due to their failure to fully account for unique economic, social, and environmental conditions. Adaptation is necessary to address local complexities and data limitations, potentially through context-specific frameworks like realist evaluations.

Hello Abdelhak

Thank you of sharing your thoughts. I think based on the responses I have receive so far, and the research i conducted in my paper. There is a general consensus that suitability is an issue. I think it also has a significant baring on the M&E for sustainability initiatives in these economies.

This suggests that there is a need for more comprehensive frameworks that are tailored to the unique conditions of developing economies. What would that look like in your view?

I think that sustainability development impacts evaluation frameworks as a method for evaluating the impact of any strategy or plan can be suitable for assessing the effectiveness of sustainable international business practices by multinational enterprises in developing economies. Evaluating development or sustainability is an effective approach for evaluating any project.

Thank you for sharing your thought. Multinational and FDI's in developing economies are usually used as tool for accelerating the achievement of the host economies NDP . How do we then measure whether MN'E's as a tool are effective in contributing to NDP , if not by measuring the impact their presence have on the host economy ability to achieve their development goals. The absence of measuring this impact often results in the prioritization of MNE's economic interests, you see this also come through in the philanthropic space, where donor economic interest can also be prioritized. Host economies may need to develop additional country specific Key Impact Indicators, over and above the common ones contained in global frameworks to effectively measure MNE's impact on their NDP to address the suitability issue.

We can measure the impact by some statistical methods as the correlation coeffecient between the companies' works results (as an independent variable) and the economic development results (as a dependent variables), we can analyse this correlation statistically by the autocorrelation of every company results. The quantitative measures are effective in these cases.