Management of changing and its role in supporting the requirements of comprehensive quality management / an opinions’ survey of a sample of workers in Al-Itihad factory for the food industry in Babil Governorate

The study aims to find out the extent of the impact of management of changing as an independent variable with its dimensions and fields (technological change, behavioral change, functional change, structural change) on Comprehensive(Total) Quality Management (TQM) as a responsive variable with its dimensions (commitment and supporting higher management, focusing on the customer, continuous improvement, decision-making of evidence-based, employee participation), through continuous visits to the Itihad factory for food Industry in Babil Governorate, it was found out that there is a problem which is that: the factory management has a lack of knowing the extent of the possibility of supporting the TQM through the changing management in proportion to the need for change which possessed by the aforementioned factory management, also what is the level of the impact of changing management in comprehensive quality management? A study was conducted on the factory, that a sample was adopted as a model that includes a part of the units of the concerned research community which are representative of it and carries common characteristics, this part does not need to study all the terms of the community, also a questionnaire was designed for the purpose of measuring the study variables, through the use of (Stephen Thomson) equation for the number of workers (2000) workers, according to the opinions of some managers in the management of the factory, the insufficient number of directors of managements, departments and sections inside the factory, using the automation system in the factory, with the impact of the current conditions of the Corona pandemic in the country as a whole as well as its effect on the factory, a random sample was selected by distributing 160 forms to a number of workers, most of them engineers working in different fields in the factory, through the use of methods (AMOS.V22). and (SPSS.V22) and statistical programs.