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All Journal Jurnal Manajemen Bisnis Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding Formosa Journal of Sustainable Research (FJSR) Asian Journal of Management Analytics Asian Journal of Applied Business and Management (AJABM)
Rahayu, Meika Kurnia Puji
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Public Health Social Sciences

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Journal : Asian Journal of Management Analytics

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Literature Review: Study of the Effect of Distributive Justice on Employee Performance Rahma, Aulia; Tjahjono, Heru Kurnianto; Rahayu, Meika Kurnia Puji
Asian Journal of Management Analytics Vol. 3 No. 2 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v3i2.8592

Abstract

This paper aims to identify research trends on distributive justice on employee performance globally. The method used in this study is qualitative research with a bibliometric analysis. As for the data found, 107 documents were obtained and analyzed from 2014-2023. This dataset was converted to CSV format and for Bibliometrix in the analysis using VOSviewer. The study included publication distribution year, country, keywords, and authors. This study shows that the research trend from 2014 to 2023 indexed by Scopus has increased. 2020 and 2022 are the years with the highest number of research publications in the distributive justice and employee performance theme. The United States, with 28 documents, is considered the country that contributes the most to publications in this study. The study focuses on the influence of autonomous motivation on workplace performance, further emphasizing the importance of employee engagement and distributive justice. The results can help scholars quickly understand the distributive justice to employee performance research. The paper also provides an alternative approach to conducting a literature review with computer-aided analysis programs.
Mapping the Digital Leadership Research Landscape on Industri 4.0: A Bibliometric Analysis Prawestri, Mardika; Rahayu, Meika Kurnia Puji; Qamari, Ika Nurul
Asian Journal of Management Analytics Vol. 3 No. 3 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v3i3.10378

Abstract

Digital leadership encompasses a range of skills, actions, and practices that encourage and inspire employees during the process of digital transformation. Digital leadership focuses on innovation and corporate goals in the Industry 4.0 era. Therefore, this study aims to identify research trends on digital leadership in the Industry 4.0 era globally. This research uses a qualitative approach. All data collection and screening procedures in the Scopus database provided the foundation for this research. A total of 92 eligible published articles from 2019 to 2023 were explored and the scientific landscape was further visualised using Scopus and VOSviewer features. The study's results indicate that 2023 will see the highest volume of publications on digital leadership. The United Kingdom and the United States were recognized as the leading contributors to this body of research. The results also show evidence that the network visualisation consists of 7 clusters. The next research topics on digital leadership that provide great opportunities to be studied more deeply in the era of the industrial revolution 4.0 are e-learning, performance, artificial intelligence, digital manufacturing, digital innovation, digital capabilities, digital storage and sustainability.
Co-Authors Anggesti, Ian Putri Wahyu Asmiyati, Asmiyati Budiyanto, Wasis Heru Kurnianto Tjahjono Khoirummuzaidah, Khoirummuzaidah Prawestri, Mardika Qamari, Ika Nurul Rahma, Aulia Retno Widowati Zulhapiz, Mhd. Hanif