This study addresses the limited research on IT-enabled support for internal staffing by employing a design science research (DSR) methodology to design, develop, and evaluate a mobile-based staffing and task assignment management system (M-STAMS). Tailored to a public university's human resource operations, the artifact leverages cloud and mobile technologies to enhance staff-task matching, operational efficiency, and coordination. A survey of 180 users was conducted using an extended Technology Acceptance Model (TAM) that incorporates user habits as an external factor to assess both technical effectiveness and user acceptance. The results demonstrate that perceived ease of use, usefulness, and habitual technology behavior significantly influence adoption intentions. The findings contribute to digital HRM research by validating the role of mobile technologies in staffing effectiveness and emphasizing the value of DSR in bridging the gap between information systems and human resource specialists to develop socio-technical HR solutions tailored to organizational needs and constraints.
Wen et al. (Thu,) studied this question.
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