Search Results for responsiveness

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.

Abstract

This study aims to analyze the role of reengineering digital thinking among university leaders and their belief in digital transformation in creating and adopting the smart university, which keeps pace with developments in artificial intelligence and digital tools. These represent some of the most important dimensions of digital transformation in an era in which digitalization has become one of the most significant competitive priorities. University leaders should therefore incorporate digital readiness into their strategic plans to ensure that the university completes the requirements of digital transformation, reaches the stage of becoming a smart university, and moves beyond traditional practices. Given the importance of reengineering leadership mindsets to foster belief in digitalization within higher education institutions and the need for universities to keep pace with rapid technological changes, the study problem was formulated around the question of the extent to which reengineering digital thinking among university leaders contributes to enhancing universities' digital readiness in a manner that supports the adoption of smart university dimensions and the achievement of the requirements of modern university transformation. The study adopted a descriptive-analytical approach. Its population and sample consisted of university leaders, including college deans, assistant deans, and heads of departments. A total of 73 valid responses were obtained for analysis. The study was based on three main variables. The first variable was reengineering digital thinking, comprising the following dimensions: leadership's belief in digital transformation, strategic digital vision, data-driven thinking, rapid responsiveness to digital changes, digital knowledge sharing, and digital skills updating. The second variable was digital readiness, comprising the dimensions of digital foresight, agile organizational structure, digital governance, digital competencies, and digital proactivity. The third variable was the smart university, comprising the dimensions of smart infrastructure, smart education, smart digital administration, smart services, digital innovation, and smart core capabilities of faculty members. The study found a significant correlation and significant effect between reengineering digital thinking and digital readiness. It also revealed a significant effect of digital readiness on the adoption of the smart university. These findings indicate that developing and reengineering digital thinking among university leaders contributes effectively to enhancing the level of digital readiness of universities, which, in turn, positively affects their ability to adopt smart university systems and improve the efficiency of academic and educational performance. The results also demonstrated that strategic digital vision, data-driven thinking, and digital skills updating are among the most influential dimensions in supporting the transition toward the smart university. The study recommends that universities adopt specialized programs for reengineering the digital thinking of university leaders, strengthen digital governance, develop smart infrastructure, invest in developing digital competencies, and foster a culture of digital innovation. Such initiatives would contribute to the transition toward smart universities and enhance their competitiveness and sustainability in the contemporary higher education environment.

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.