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The Influence of Work Environment, Management Support, Organizational Culture, and Employee Engagement on Employee Performance Through Employee Satisfaction Maulia Farah Nur Azizah; Bambang Widjanarko Otok
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1197

Abstract

In an era of globalization, companies must optimize their resources to meet customer needs. To improve the quality of human resources, companies must focus on areas such as the work environment, management support, organizational culture, employee engagement, and employee satisfaction. The study aims to identify the employee's performance in relation to its association with the variable studied and analyze it based on the supporting component. Data collection occurs through surveys and questionnaires, while analysis methods include Structural Equation Modeling (SEM). The results showed that a significant relationship between employee performance and employee characteristics on the work environment variable of 0.473 and employer engagement of 0.440 has been demonstrated. Employees who work in a positive and supportive work environment and feel engaged in their work tend to be more committed, more productive and qualified, more satisfied and motivated, and have a positive work culture. These aspects have the ability to increase employee satisfaction and employee performance, which in turn contribute to the overall success of the company.
Exploring the Determinants of Behavioral Intention and Use Behavior Toward TikTok Shop Based on the UTAUT2 Model Rizki Fitriani Muin; Bambang Widjanarko Otok
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 5 No 1 (2026): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv5i1pp29-44

Abstract

The rapid growth of social commerce through TikTok Shop has opened new opportunities for businesses and consumers in Indonesia, including in the city of Ambon. This study aims to analyze the factors influencing consumers’ behavioral intention and use behavior in shopping on TikTok Shop by applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model. The respondents of this research were TikTok Shop users in Ambon who had made at least one transaction, with a minimum sample size of 200 participants. The results show that all UTAUT 2 constructs, except for facilitating conditions on use behavior, have a significant effect on consumers’ intention and usage behavior. The variable behavioral intention was found to be the most dominant factor driving actual usage behavior, with R² values of 0.753 for behavioral intention and 0.817 for use behavior, indicating a strong predictive capability of the model. These findings affirm the relevance of the UTAUT 2 model in explaining technology adoption in the context of social commerce and provide practical implications for platform developers and digital business practitioners to design marketing strategies that align with the characteristics of consumers in eastern Indonesia.
Two-Stage Estimation in Copula-Based Bivariate Survival Models with Cox Marginals Wahyu Dwi Rahmawati; Jerry Dwi Trijoyo Purnomo; Bambang Widjanarko Otok
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 5 No 1 (2026): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv5i1pp17-28

Abstract

This study is motivated by the presence of dependence between event times in bivariate survival data, which cannot be adequately captured by univariate Cox models. A copula-based bivariate survival model with Cox Proportional Hazards marginals is considered. The estimation procedure follows a two-stage approach, where marginal parameters are first obtained using partial likelihood and the baseline survival function is estimated via the Breslow method. In contrast to conventional approaches that treat marginal estimates as final or imposing shared parameter structures, this study introduces a modification in the second stage by performing simultaneous joint estimation of marginal without imposing shared parameter and dependence parameters using the BHHH algorithm. This allows the marginal parameters to be estimated while explicitly accounting for the dependence between event times. The evaluation was conducted via simulation with variation in sample size, censoring, dependency level and copula types. Simulation results show that the proposed method produces stable and reliable parameter estimates while preserving the interpretability of marginal effects, providing a flexible framework for modeling dependent bivariate survival data.