Improving digital work experience: an experimental investigation of IT identity and organization support

Abstract

Purpose

Improving digital work experience is critical for the job performance of individuals and the competitiveness of organizations due to their increasing use. This paper investigates how organization support affects the digital work experience of individuals differently depending on their levels of information technology (IT) identity.

Design/methodology/approach

Drawing upon the IT identity literature and the conservation of resources (COR) theory, a conceptual model is developed, tested and validated using the data collected in Australia through an experimental design in which IT identity is manipulated.

Findings

This study reveals a nuanced impact of organization support on shaping digital work experience. Specifically, it finds that technical support is more effective in improving the digital work experience of individuals with a high level of IT identity, whereas well-being support is more effective in enhancing the digital work experience of individuals with a low level of IT identity.

Originality/value

This research contributes to the IT identity literature by introducing a novel experimental design to manipulate IT identity in the digital work context. It also contributes to the digital work literature by introducing a resource perspective for identifying well-being support, technical support and IT identity as the key resources in shaping digital work experience and calling for attention to IT identity as a boundary condition on the effectiveness of organization support. The findings can help organizations formulate better strategies and policies to improve digital work experience by providing tailored support to individuals with different levels of IT identity.

Citation

Fan, S.X., Duan, S.X. and Deng, H. (2024), "Improving digital work experience: an experimental investigation of IT identity and organization support", Industrial Management & Data Systems, Vol. 124 No. 3, pp. 1107-1131. https://doi.org/10.1108/IMDS-02-2023-0128