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Psychological Contract: A Systematic Literature Review Dina Safitri
International Journal of Scientific Multidisciplinary Research Vol. 2 No. 4 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijsmr.v2i4.8495

Abstract

English abstract only consisted of one paragraph This comprehensive study thoroughly examines the psychological contract literature by reviewing 134 papers published from 1989 to 2022. It extensively explores various aspects, including the conceptual framework, classifications, influencing factors, measurement criteria, and evolutionary trends of psychological contracts. Through a critical analysis, this paper reveals that certain areas within the realm of psychological contracts have reached a saturation point, with a wealth of existing research. It highlights the need for a paradigm shift towards studies conducted from the employer's standpoint, which can offer invaluable insights into the dynamics of psychological contracts. In essence, this review encapsulates the existing knowledge on psychological contracts and maps out a roadmap for future research, emphasizing the importance of diverse perspectives and methodological approaches
The Influence of Professionalism, Locus of Control, Emotional Intelligence and Professional Ethics on BPR Audit Quality with Ambiguity as a Moderator Dina Safitri; Rohmah, Siti; Salta, Salta
Indonesian Journal of Business Analytics Vol. 4 No. 2 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v4i2.8730

Abstract

As an independent party, auditors have the opportunity to improve the quality and reliability of company financial reports that are used by stakeholders in making decisions. Against this background, incidents relating to the accounting profession from an audit quality perspective are increasing. Incidents often occur with test objects due to the inspector's incompetence. The loss of public trust in the accounting profession is an indication of the loss of AI's strict internal audit concept and a weak governance system. This research aims to determine how professionalism, locus of control, emotional intelligence, and professional ethics influence audit quality. auditors who participated in this research working in BPR Region III in Cirebon, West Java, were used as respondents. The resulting sample consisted of 49 of the 83 research topics selected to represent BPR researchers. The results show problems with normality, multicollinearity, and autocorrelation in the classical assumption test, which consists of normality, multicollinearity, and heteroscedasticity tests using a one-stage multivariate model. The remainder is influenced by other invisible variables, with a total influence of 0.598 or 59.8%.  
Pengaruh Quality of Work-Life Terhadap Organizational Citizenship Behavior dengan Knowledge Sharing sebagai Variabel Mediasi di BNI, BRI, dan Bank Mandiri Abelia, Abelia Putri Cantika; Ayi Ahadiat; Dina Safitri
Jurnal Investasi Islam Vol. 11 No. 1 (2026): Jurnal Investasi Islam (JII)
Publisher : FEBI IAIN Langsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32505/x50wm322

Abstract

Industri perbankan menghadapi persaingan yang semakin ketat sehingga menuntut organisasi untuk memiliki sumber daya manusia yang tidak hanya menjalankan tugas formal, tetapi juga menunjukkan perilaku ekstra peran atau organizational citizenship behavior (OCB). Salah satu faktor yang diyakini memengaruhi munculnya perilaku tersebut adalah quality of work-life (QWL). Namun, hasil penelitian sebelumnya menunjukkan temuan yang tidak konsisten mengenai hubungan antara QWL dan OCB. Oleh karena itu, penelitian ini mengkaji peran knowledge sharing sebagai variabel mediasi dalam hubungan tersebut. Kebaruan penelitian ini terletak pada pengujian model yang mengintegrasikan QWL, knowledge sharing, dan OCB secara simultan pada sektor perbankan Indonesia. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap 146 karyawan yang bekerja di BNI, BRI, dan Bank Mandiri. Teknik analisis data menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa QWL berpengaruh positif dan signifikan terhadap OCB serta knowledge sharing. Selanjutnya, knowledge sharing juga terbukti berpengaruh positif terhadap OCB dan berperan sebagai mediator parsial dalam hubungan antara QWL dan OCB. Temuan ini menunjukkan bahwa peningkatan kualitas kehidupan kerja tidak hanya secara langsung meningkatkan perilaku kewargaan organisasi, tetapi juga melalui penguatan budaya berbagi pengetahuan di dalam organisasi. Implikasi penelitian ini menegaskan pentingnya organisasi perbankan untuk menciptakan lingkungan kerja yang mendukung kesejahteraan karyawan sekaligus mendorong praktik knowledge sharing guna meningkatkan kolaborasi dan kinerja organisasi secara berkelanjutan.
Artificial Intelligence for Greenwashing Detection: A Conceptual Analysis of NLP and LLM in Sustainability Reporting Mohammad Mostaf Fauzil Mufti; Tiara Rizky Cahya; Zahwa Nura Aziza; Khristina Putri Kasihwigati; Maureen Cahayli; Dina Safitri; Diajeng Fitri Wulan
Hikamatzu | Journal of Multidisciplinary Vol. 3 No. 1 (2026): Multidisciplinary Approach
Publisher : Hikamatzu | Journal of Multidisciplinary

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Greenwashing, the practice of making misleading environmental claims, continues to hinder genuine progress toward sustainable development. Studies show that a significant proportion of corporate sustainability claims are exaggerated or unfounded, creating a demand for effective tools to identify such practices. Traditional methods of detecting greenwashing, such as manual reviews and basic keyword analysis, are often insufficient due to the complexity and volume of data involved. This study uses a conceptual and analytical research design to summarize existing evidence on the use of Artificial Intelligence (AI), including Natural Language Processing (NLP) and Large Language Models (LLMs), in detecting greenwashing. By analyzing sustainability reports, press releases, and social media content, these AI tools offer a more efficient and accurate approach to identifying discrepancies between corporate claims and actual practices. The findings demonstrate that AI technologies can significantly advance greenwashing detection, contributing to more reliable and accessible sustainability assessments. However, limitations remain, as the study focuses on only two AI methodologies. Future research should explore a wider range of AI tools and techniques to address industry-specific challenges and regulatory concerns, ensuring a more comprehensive approach to detecting greenwashing in corporate practices.