Optimizing Information Systems to Support Remote Work

Abstract

The rapid development of information technology has driven the transformation of the world of work, especially after the COVID-19 pandemic which accelerated the adoption of remote work. However, remote work implementations face significant challenges, including team coordination, data security, and productivity fluctuations. The study aims to identify the key factors in optimizing information systems that support the success of remote work, measure their impact on employee performance, and formulate strategic recommendations for organizations looking to adopt or improve this model. Using the literature study method, this study collects data from various scientific journals, proceedings, and academic books to analyze information system optimization strategies. The results show that collaboration technology, digital security, and data-driven performance management systems are becoming critical elements in maintaining the productivity and well-being of remote employees. Organizations that invest in robust digital infrastructure, provide ongoing technology training, and adopt a data-driven approach are proving to be more adaptive to the challenges of remote work. This research emphasizes the importance of a holistic strategy that includes technical, managerial, and social aspects to optimize the full potential of remote work as a sustainable and productive work model.