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Analytics

Sukma Amelia Wardani; Rifky Rifaldi; Riska Ramadhani; Abdurrozaq Hasibuan

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2025 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

This study analyzes the synergy between human resource development (HRD), work culture, and decision-making systems in enhancing productivity and organizational performance. The approach used is a descriptive qualitative literature review, with sources from peer-reviewed articles from 2021-2025 obtained through databases such as Google Scholar and ScienceDirect. The research findings indicate that HRD can improve employee competence by up to 28.7%, while work culture contributes 41.4-55% to motivation and collaboration within teams. Decision-making systems, such as AHP (Analytical Hierarchy Process) and BI (Business Intelligence), play a role in optimizing operational efficiency by up to 65%. The synergy of these three elements forms a more adaptive organization to change. One example of the implementation of this synergy can be seen in PT X Jakarta, which experienced a 28% increase in output and employee satisfaction reached 85%. However, the main challenge faced is resistance to change, which can be overcome through effective communication. The practical implications of this study include recommendations for holistic organizational transformation, especially in Indonesia, to face the challenges of global disruption.

Widya Setya Ningrum; Syaiful Anwar

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2025 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

This study aims to determine whether there is an influence on the Impact of the Digital Era (X1), Organizational Culture (X2), and Employee Involvement (X3) on Employee Work Efficiency (Y) at PT Indogadai Prima Tangerang City Branch. The research used in this study is quantitative, with a non-probability sampling technique. The sample consisted of 100 respondents representing different job positions, ranging from area managers, store heads, cashiers, to sales clerks. Data were collected through a structured questionnaire using a Likert scale. Furthermore, the data analysis applied descriptive statistics, validity and reliability tests, classical assumption tests, multiple linear regression, t-tests, and the coefficient of determination using SPSS version 25. The results of this study indicate that the Impact of the Digital Era has a positive but not significant effect on Employee Work Efficiency, Organizational Culture has a significant effect on Employee Work Efficiency, while Employee Involvement does not significantly influence Employee Work Efficiency. Among the independent variables, Organizational Culture is the most influential factor in determining employee efficiency. The findings highlight the importance of strengthening organizational culture to enhance efficiency while ensuring that digital transformation is implemented with strategies that reduce resistance and increase adaptability. This research contributes theoretically to the study of human resource management in the digital transformation era and provides practical recommendations for companies in developing policies to optimize employee efficiency.

Vinky Putri Amelia; Umi Kulsum Zaini; Moh. Rizqi Abadi; Nu’man Hakki Barruka

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2025 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

This study aims to examine the implementation of competency-based human resource management (HR) in improving employee professionalism at Devos Jok, an SME engaged in the automotive interior manufacturing sector. A descriptive qualitative approach is used to explore in depth the HR practices carried out, the challenges faced, and the impact on employee work quality. The results of the study indicate that the transformation of the HR system from an administrative pattern to a competency-based one has made a significant contribution to improving individual and organizational performance. The strategies implemented include competency-based recruitment, ongoing training, flexible payroll systems, and adaptation to digital platforms. However, challenges remain, especially in overcoming resistance to change and limited training resources. This study provides theoretical and practical contributions to the development of a competency-based SME HR system in the context of today's creative and digital industries.

Debora Rifiani Gosita; Sri Sundari; Marisi Pakpahan

Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan 2024 Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.