The Influencing Factors and Enhancement Pathways for Employee Performance Under Remote Work Modalities

Abstract

With the continuous advancement of digital transformation and the increasing maturity of technological infrastructure, remote work is gradually shifting from an emergency work arrangement driven by the pandemic to a sustainable and institutionalized human resource management model at the organizational level. The expansion of the remote working model brings flexibility and resilience to organizational operations, while also posing new challenges and requirements for traditional performance management. This article takes the perspective of human resource management as the starting point and focuses on the identification of influencing factors of employee performance and the exploration of improvement paths in the remote work context. Through a systematic review of core Chinese and English literature in the past five years, and in combination with variables such as job characteristics, collaboration forms, and individual differences, a performance impact framework covering the individual level, organizational mechanisms, and external environment was constructed. The research finds that self-management ability, digital skills, organizational support and technological accessibility are the key factors affecting remote performance, while job nature and collaboration intensity, as moderating variables, significantly affect the differences in performance responses. Based on these findings, this paper proposes a multi-dimensional performance optimization strategy including a dynamic evaluation mechanism, structured interaction framework, promotion transparency and development guidance. This research not only helps to deepen the understanding of the remote performance generation mechanism but also provides theoretical support and practical reference for enterprises to build a scientific and highly adaptable performance management system.