Mulia Sari, Indah
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Integrasi CSR, Environmental Sustainability dan Community Development: Systematic Literature Review Mulia Sari, Indah; Vonika, Nike; Arsyad, Fachry; Vania Khoerunnisa, Siti
Jurnal Ilmiah Perlindungan & Pemberdayaan Sosial, Vol 7 No 1 (2025): Lindayasos
Publisher : Politeknik Kesejahteraan Sosial (Poltekesos) Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31595/lindayasos.v7i1.1519

Abstract

Penelitian ini memiliki tujuan untuk mengkaji secara komprehensif kontribusi Corporate Social Responsibility (CSR) terhadap environmental sustainability dan community development melalui pendekatan Systematic Literature Review (SLR). Latar belakang penelitian ini yaitu urgensi integrasi secara komprehensif tentang peran sosial dalam strategi bisnis untuk mendukung keberlanjutan lingkungan. Metode yang digunakan adalah SLR dengan dengan menggunakan database Scopus, melibatkan 28 artikel terpilih dari tahun 2015–2025 yang telah di pilih dari 420 artikel awal. Proses seleksi mengikuti kerangka PRISMA dan menyaring artikel berdasarkan kriteria inklusi seperti aksesibilitas artikel, berbahasa Inggris, serta relevan dengan topik CSR, environmental sustainability, dan community development. Hasil penelitian menunjukkan bahwa CSR telah memainkan peran penting di berbagai sektor seperti pertambangan, manufaktur, UMKM, BUMN, dan pariwisata. CSR berkontribusi pada inovasi hijau, efisiensi sumber daya, serta penguatan kapasitas komunitas lokal. Namun, terdapat kesenjangan implementasi antara sektor besar dan UMKM, serta tantangan di negara berkembang seperti Indonesia, termasuk minimnya regulasi dan kolaborasi lintas sektor. Implikasi dari temuan ini menegaskan bahwa CSR bukan lagi sekadar aktivitas simbolik, melainkan strategi integral menuju keberlanjutan bisnis jangka panjang. Penelitian ini memberikan rekomendasi bagi perusahaan dan pembuat kebijakan untuk mengoptimalkan peran CSR dalam mendukung pembangunan yang adil, inklusif, dan berwawasan lingkungan.
Pelatihan Team Building untuk Meningkatkan Kepercayaan Antar Pribadi Serta Mutu Kerjasama di PT.RP Mulia Sari, Indah; Soebandono, JP
Jurnal Ilmiah Perlindungan & Pemberdayaan Sosial, Vol 5 No 2 (2023): LINDAYASOS
Publisher : Politeknik Kesejahteraan Sosial (Poltekesos) Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31595/lindayasos.v5i2.1094

Abstract

This research aims to design intervention team building training to improve interpersonal trust and teamwork quality. In addition to determine the effect of interpersonal trust to the teamwork quality at RP Company. Measuring instrument used is a measure of adaptation teamwork quality (Hoegl & Geumenden, 2001) and the interpersonal trust questionnaire (McAllister, 1995), by the number of study participants as many as 43 employees from 124 employees as population. The results of calculations using multiple regression showed R² = .783 (p<0,05) which means interpersonal trust in affects the Kerjasama quality at 78,3%. The t-test values obtained for the dimension of interpersonal trust is 6.085 (p<0,05) for cognition based trust and 3.163 (p<0,05) for affect based trust. Therefore, team building training made in the study was designed to increase interpersonal trust and teamwork quality.
Mapping and Synthesizing the Landscape of Artificial Intelligence and Technostress: A Hybrid Bibliometric and Systematic Review Approach Mulia Sari, Indah; Dahlan Hj. A. Malek, Mohd; Lestari, Selfiyani; Vania Khoerunnisa, Siti; Hayuningtyas, Krisbandaru
Psychological Research and Intervention Vol. 8 No. 2 (2025)
Publisher : Faculty of Psychology, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/pri.v8i2.91993

Abstract

The objective of this study is to map and synthesize the extant scientific literature concerning the relationship between Artificial Intelligence (AI) and technostress. To this end, a hybrid approach will be employed, integrating bibliometric analysis and a systematic literature review (SLR). As the adoption of artificial intelligence (AI) accelerates on a global scale, novel psychological stressors have emerged, extending beyond the conventional frameworks of information and communication technology (ICT). A comprehensive analysis of 34 empirical studies published between 2020 and 2025 was conducted to identify publication trends, conceptual developments, and the key mechanisms underlying AI-induced technostress. Bibliometric mapping reveals a significant surge in research output since 2023, with dominant contributions from China, India, Germany, and Spain. A thematic synthesis of the extant literature reveals that AI-induced technostress primarily emerges from three sources: cognitive overload, algorithmic complexity, and perceived loss of control. These mechanisms correspond to but also expand upon classical technostress creators. The findings further indicate that psychological outcomes such as burnout, anxiety, and reduced wellbeing frequently accompany AI integration. However, coping strategies, digital literacy, and organizational support serve as mitigating factors. The study's findings culminate in the proposal of an integrated conceptual model that incorporates the Technostress Model, Job Demands Resources (JD R) framework, technology acceptance theories, and Task Technology Fit (TTF). This model aims to enhance the explanatory power of the dual role of AI as both a demand-enhancing and resource-enhancing technological agent. Furthermore, it advocates for the utilization of longitudinal and cross-cultural research methodologies in future studies.