Abstract

The aim of this research paper is to engage with the ongoing scientific discourse surrounding the impact of electronic human resources management (E-HRM) technology on organizational sustainability, performance, and innovation within the context of the dynamic Saudi Arabian hospitality industry. Drawing upon a quantitative research methodology, this study seeks to unveil the intricate relationship between the latent variable (e-HRM) and the dependent variables, namely, organizational innovation, organizational performance, and organizational sustainability. The systematic organization of literary sources and research approaches underpins the comprehensive nature of this study, which holds particular relevance against the backdrop of Saudi Arabia’s ambitious Vision 2030 development plan. The plan envisions diversifying the economy, reducing dependence on oil, and fostering sustainable growth – objectives that resonate strongly with the challenges and opportunities within the hospitality sector. The paper progresses logically, employing robust statistical software such as SPSS version 25 and SmartPLS 3.3.5 to rigorously evaluate and test the measuring and structural models. This meticulous approach includes hypothesis testing to assess indicators’ reliability, convergent validity, and discriminant validity. The study meticulously examines a sample of 438 employees within the Saudi hospitality industry. Methodological tools, including detection analyses and correlation analysis, are deployed to ensure the integrity and accuracy of the data. The Saudi hospitality industry is strategically selected for its pivotal role in job creation, economic prosperity, and overall image projection. Empirical analysis forms the crux of this paper, revealingcompelling results that underscore the positive and significant influence of e-HRM technologies on organizational innovation, organizational performance, and organizational sustainability. The model’s robust fit, as evidenced by the SRMR value of 0.074 and the NFI score of 0.911, accentuates the reliability and validity of the research. Furthermore, the paper employs the blindfolding technique to assess the model’s predictive validity, revealing effect sizes of 0.223, 0.109, and 0.439 for organizational innovation, organizational performance, and organizational sustainability, respectively. This research not only empirically confirms but also theoretically substantiates the pivotal role of e-HRM technologies in shaping organizational outcomes. By delving into the mediating relationship betweenorganizational performance and organizational innovation, this study contributes significantly to understanding how e-HRM technologies can be a catalyst for organizational sustainability in the unique context of the Saudi hospitality industry. Beyond the academic realm, the findings provide actionable insights for policymakers, industry professionals, and stakeholders, aligning with the overarching goals of Saudi Vision 2030 to foster sustainable growth and development.

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