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Pengaruh Fear of Missing Out terhadap Job performance Generasi Z: Peran Mediasi Digital Distraction Sunarmi Sunarmi; Asnawi Hidayat; Cheesya Siska Adhiati; Adi Suryo Ramadhan
Jurnal Publikasi Ilmu Manajemen Vol. 5 No. 1 (2026): Maret: Jurnal Publikasi Ilmu Manajemen
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupiman.v5i1.6754

Abstract

The increasing use of smartphones, social media, and work communication apps can encourage employees to stay connected while also increasing the risk of digital distraction. This study aims to analyze the effect of Fear of Missing Out (FoMO) on job performance, with digital distraction as a mediating variable. The study employed a quantitative approach using a cross-sectional survey design. Data were collected from 150 Generation Z employees working in Semarang and were analyzed using Partial Least Squares Structural Equation Modeling with a bootstrapping procedure. The results indicate that FoMO has a positive effect on digital distraction (β = 0.603; p < 0.001), while digital distraction has a negative effect on job performance (β = −0.389; p < 0.001). FoMO also has a direct negative effect on job performance (β = −0.308; p < 0.001). Furthermore, digital distraction negatively mediates the effect of FoMO on job performance (β = −0.235; p < 0.001) through a complementary partial mediation pattern. These findings suggest that the need to stay connected can reduce performance when it leads to device checking and shifts in attention during work. This study underscores the importance of managing notifications, establishing consistent communication channels, and reducing expectations of instant responses to maintain employee focus and performance.
Pengaruh Data Quality dan Analytics Capability terhadap Kualitas Keputusan Manajerial: Peran Mediasi Data-Driven Culture pada Organisasi Perkantoran Febri Adi Prasetya; Cheesya Siska Adhiati; Indra Ava Dianta
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 3 (2026): Juli : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i3.3968

Abstract

The growing use of information systems and analytical technologies has encouraged organizations to adopt data-driven approaches to managerial decision-making. However, the availability of high-quality data and analytical tools does not automatically produce better decisions when data use has not become part of organizational routines. This study examines the effects of Data Quality and Analytics Capability on Managerial Decision Quality and investigates the mediating role of Data-Driven Culture in office-based organizations. A quantitative explanatory design was employed involving 220 respondents who routinely use data, information systems, digital reports, dashboards, spreadsheets, or analytical tools in their work. The research model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Data Quality and Analytics Capability have positive and significant effects on Data-Driven Culture. Analytics Capability and Data-Driven Culture also positively and significantly affect Managerial Decision Quality, whereas the direct effect of Data Quality on Managerial Decision Quality is not significant. Furthermore, Data-Driven Culture mediates the relationship between Data Quality and Managerial Decision Quality through an indirect-only mediation mechanism and mediates the relationship between Analytics Capability and Managerial Decision Quality through complementary mediation. These findings indicate that reliable data alone is insufficient to improve managerial decisions unless organizations institutionalize data use in their working culture. The study highlights the importance of integrating data quality, analytical capability, and a data-driven culture to strengthen evidence-based managerial decision-making and provides practical guidance for organizations seeking to improve the managerial value of their information resources