Purpose: This study aims to investigate the role of Control mechanisms in sustaining Change initiatives. Method: Following qualitative research with inductive approach, the data was collected through semi-structured interviews from 10 change practitioners of multinationals in various fields, including Information Technology, Project Management, Banking, Logistics, Manufacturing and Telecommunication. Grounded theory was used to analyse the empirical findings. Findings: The results show that control mechanism play a crucial role right from guiding and governing the entire process of change. On the other hand, findings reveal a wide range of control tools in context to change management. Also, change readiness is crucial step, it is critical to be well prepared before a change project is initiated. Moreover, new concepts such as design thinking, CAPA (corrective action preventive action) and PDSA (Plan, do, study, act) emerged as control tool throughout the process of change improving efficacy, mistake proofing and driving continuous improvement. Finally, control mechanisms can make contribute to sustenance of CM initiatives through its potential of continuous monitoring and indicating Implications: Theoretically, the study challenges established conceptions of CM by emphasizing the role of preparedness and adaptation. It proposes dynamic frameworks and proactive control methods to facilitate organizational transformation. Practically, it emphasizes the importance of extensive training, logical methods, and a variety of tools for effectively navigating change process.

In this study an attempt has been made to explore the role of technology transfer in the economic growth of Iraq, through the change in the technology itself for the period 1960-1978. For this purpose the economy was disaggregated into seven sectors. The experience of developed countries has shown that technical change is one of the most important factors of economic growth alongside, or even overshadowing, such factors as labour and capital. In the light of technology transfer, developing countries have the advantage of introducing high levels of advancement of knowledge which can be used to induce domestic technical change at later stages. Technical change is normally defined as a shift in the production function, and for this reason two forms of production function were estimated and tested, i. e. the constant elasticity of substitution and the Cobb-Douglas function. Also two specifications (constant and variable) were assigned to technical change. To validate the use of these, statistical tests were conducted to establish the optimum fit. Then the selected form was used to simulate output levels for comparison with actual figures. The techniques used for estimation are both linear and non-linear. Data used are time series in real terms of capital stock and output, as well as number of persons employed. Furthermore in order to judge the importance of technical change to the growth of output on aggregate and sectoral levels, as regards economic growth, comparisons were drawn with existing data from other developed and developing countries, including centrally planned economies.

In this study an attempt has been made to explore the role of technology transfer in the economic growth of Iraq, through the change in the technology itself for the period 1960-1978. For this purpose the economy was disaggregated into seven sectors. The experience of developed countries has shown that technical change is one of the most important factors of economic growth alongside, or even overshadowing, such factors as labour and capital. In the light of technology transfer, developing countries have the advantage of introducing high levels of advancement of knowledge which can be used to induce domestic technical change at later stages. Technical change is normally defined as a shift in the production function, and for this reason two forms of production function were estimated and tested, i. e. the constant elasticity of substitution and the Cobb-Douglas function. Also two specifications (constant and variable) were assigned to technical change. To validate the use of these, statistical tests were conducted to establish the optimum fit. Then the selected form was used to simulate output levels for comparison with actual figures. The techniques used for estimation are both linear and non-linear. Data used are time series in real terms of capital stock and output, as well as number of persons employed. Furthermore in order to judge the importance of technical change to the growth of output on aggregate and sectoral levels, as regards economic growth, comparisons were drawn with existing data from other developed and developing countries, including centrally planned economies.