فعالية الإدارة الإلكترونية في الوكالة الوطنية للتشغيل لتعزيز اتخاذ القرار في الجزائر: الفرع الولائي للتشغيل بشار منحة البطالة أنموذجا خلال الفترة الزمنية من 01 مارس 2022 إلى غاية 31 أكتوبر 2022

Abstract EN

Electronic administration is the result of the technical achievements of our time, as these developments in the field of communications and the invention of advanced technologies prompted countries and governments to take advantage of the momentum of this technical revolution by using computers and the world wide web in carrying out administrative work and providing high-end services to society that reach an extent his aspirations.

the effectiveness of electronic management, similar to the classical administration, lies in its use of information systems that collect data, process it accurately, and convert it into information that helps decision-makers in strengthening their administrative decisions, as well as addressing some negative phenomena in society, such as bureaucracy and nepotism, as it ensures equal opportunities and access to rights for those who have it, all these changes would achieve a qualitative leap in the Algerian administration, bring about comprehensive reforms in the state's structures and administrative dealings, and develop control mechanisms.

through our study, we aim to know the extent of the effectiveness of the electronic administration of the national agency for employment in strengthening the decisions of the Algerian state through its introduction of the unemployment grant, through the implementation of the decision of the president of the republic related to the establishment of the unemployment grant that will be directed to the unemployed in the category of job seekers for the first time, and how the management of this file, which was entrusted to the national agency for employment, where we took the state branch of employment, Bachar, as a sample for our study.

during our study, we relied on the analytical descriptive approach, using the observation technique, as well as analyzing the totality of the data to be studied.