Search Results for responsiveness
Abstract
The research problem lies in the slow and low levels of strategic response in contracting companies in Baghdad Governorate. The research aims to examine the impact of strategic engineering on the strategic response processes of employees in these companies. To achieve this, the dimensions of strategic engineering were utilized, namely: organizational structure engineering, digital leadership, strategic modeling and simulation, and strategic alignment. The dimensions of strategic response processes were also considered, namely: resource liquidity, business process maturity, business responsiveness to the environment, and business proactivity to the environment. The researcher adopted a descriptive-analytical approach to data analysis, employing a simple random sampling method. The research population consisted of 240 employees from a group of contracting companies in Baghdad Governorate, of whom 203 were selected as the research sample. The researcher used a questionnaire as the primary data collection tool. Statistical software, specifically SMART PLS 4 and SPSS version 27, was used to analyze the primary data. Descriptive and inferential statistical methods were employed, including validity and reliability testing, confirmatory factor analysis, arithmetic mean, standard deviation, relative importance, simple and multiple linear regression, structural equation modeling, and others, to test the main and sub-hypotheses. The research yielded several findings, demonstrating that strategic engineering is not merely reactive but also enhances companies' ability to proactively respond by anticipating future challenges and designing preventative strategies that ensure business continuity in uncertain circumstances.
Abstract
This research aims to examine the role of time-directed resource consumption accounting (TD-RCA) techniques in achieving competitive advantage for economic units by improving costing accuracy, rationalizing resource consumption, and enhancing product quality. TD-RCA relies on analyzing resource consumption based on the actual time of activities, which helps determine the fair cost of products, reduce waste, and achieve higher operational efficiency.
Process reengineering also contributes to the redesign of manufacturing activities with the aim of eliminating unnecessary processes and enhancing customer value, leading to reduced costs and improved product quality. The research focuses on the application of these two techniques in a ready-made garment factory in Najaf. The results showed that combining the two techniques helps reduce overall costs, increase the factory's competitiveness, and enhance its responsiveness to market demands.
The research recommends the adoption of these modern techniques in cost management, given their positive impact on achieving a sustainable competitive advantage, achieving optimal resource utilization, and enhancing production efficiency.
Abstract
The aim of the research was to diagnose the role that knowledge management capabilities (operations and infrastructure) contribute to the response of supply chains with their various components (the response of the operations system, the response of logistics operations, the response of the network of processors), the Traffic Directorate in Nineveh Governorate was the research field chosen for the Applied side of the research, and the research community was represented by the employees of this Directorate, and a random sample of the research community was selected intentionally from the research community who work directly in providing services for issuing official documents to citizens (issuing and renewing market the questionnaire was the main tool in data collection, as (100) forms were distributed, (91) of which were retrieved valid for analysis, the descriptive analytical approach was also adopted in the research, and the statistical software (Smart PLS 4) was employed, including some statistical tests in testing research hypotheses, and one of the most prominent results of the research was the presence of different levels of influence exerted by the variables lying in this research in the approved variables.