The College of Administration and Economics at the University of Baghdad discussed , a master’s thesis in field of Industrial Management by the student (Ruqaya Hashim Adnan) and tagged with (The role of quality in management information systems in improving operational performance: an analytical study) , Under supervision of ( Prof. Dr. Atheer Abdullah Mohammed )
The present study aims to examine the impact of the direct relationship between Management Information Systems (MIS) quality as an independent variable and operations performance as a dependent variable in the State Company for Electrical and Electronic Industries. In addition, the study focuses on identifying the levels of availability of these resources and the mechanisms for their effective utilization in a manner that makes them more compatible with the current conditions facing the industrial companies under investigation, as well as their operational requirements within the turbulent organizational environment in Iraq, which is influenced by global economic repercussions. The research problem is defined by the central question: What is the role of Management Information Systems quality, represented by its three dimensions (system quality, information quality, and service quality), in improving operations performance, represented by its dimensions (cost, quality, delivery, flexibility, and innovation), within a competitive environment? Based on the significance of the study for the State Company for Electrical and Electronic Industries given its importance as a vital industrial sector contributing significantly to supplying the local market with electrical and electronic products the study adopted an exploratory-analytical approach. Data were collected from (120) respondents selected through purposive sampling, representing top and middle management. A questionnaire consisting of (52) items was utilized as the primary data collection instrument, supported by personal interviews and field observations.
The researcher employed statistical software packages (SMART PLS V.3.3.8 and SPSS V.26) and applied appropriate statistical techniques, including normality testing, exploratory and confirmatory factor analysis, mean, percentages, standard deviation, relative importance, Pearson correlation coefficient, and simple regression analysis, to analyze the data and test the research hypotheses. The findings revealed significant correlation and impact relationships at the level of both the main variables and their sub-dimensions. The study recommends the necessity of directly investing in the relationship between MIS quality and operations performance indicators in industrial companies, particularly in the company under investigation.
