Article Per Year (5 Year)
p-Index From 2019 - 2024
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This Author published in this journals
All Journal Journal Of Business, Finance, and Economics (JBFE) The International Conference on Education, Social Sciences and Technology (ICESST)
Ruslaini Ruslaini
Sekolah Tinggi Ilmu Ekonomi Kasih Bangsa
Computer Science & IT Economics, Econometrics & Finance Environmental Science

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Sustainability Dalam Rantai Pasok Global: Tinjauan Literatur Dari Perspektif Bisnis Internasional dan Manajemen Rantai Pasok Ruslaini Ruslaini; Eri Kusnanto
Journal Of Business, Finance, and Economics (JBFE) Vol 1 No 2 (2020): Journal Of Business, Finance, and Economics (JBFE)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbfe.v1i2.5691

Abstract

In the context of supply chain management and international business, sustainability in global supply chains is crucial. This literature review synthesizes various studies to explore strategies, outcomes, and challenges related to sustainability initiatives in different organizational settings. The findings highlight the importance of stakeholder engagement, technological innovation, and regulatory compliance in promoting sustainable practices. Additionally, adopting green technologies and collaborating with suppliers are essential for enhancing sustainability and operational efficiency. Integrating Sustainable Development Goals (SDGs) and digital advancements is key to achieving competitive advantage and resilience in global markets.
Peran Regulasi dalam Mendorong Adopsi Cloud Computing UMKM DKI Jakarta Muhammad Rizal; Ruslaini Ruslaini; Eri Kusnanto
Journal Of Business, Finance, and Economics (JBFE) Vol 3 No 1 (2022): Journal Of Business, Finance, and Economics (JBFE)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jbfe.v3i1.5707

Abstract

This study aims to understand SMEs' perspectives on the impact of regulation on their decisions to adopt cloud computing technology. The research employs a qualitative method with a phenomenological approach to explore the experiences of SME owners, managers, and IT professionals regarding regulatory frameworks affecting cloud computing adoption decisions. Data were collected through interviews with SMEs in the DKI Jakarta region and analyzed using thematic analysis. The findings indicate that government regulations play a crucial role in shaping cloud adoption strategies among SMEs. However, ambiguous and complex regulations present challenges and hinder SMEs' efforts to adopt cloud computing. Despite these obstacles, SMEs demonstrate resilience and flexibility in navigating regulatory challenges by utilizing certified and recognized cloud service providers, thereby mitigating risks associated with regulatory compliance. This study provides insights for policymakers and practitioners to support cloud computing adoption in the SME sector, helping them maintain competitiveness in increasingly competitive markets.
Optimizing Organizational Performance : Exploring The Integration Of AI And HR Practices Cahyatih Kumandang; Ruslaini Ruslaini; Seger Santoso; Muhammad Rizal
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 1 No. 2 (2022): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v1i2.381

Abstract

In the rapidly evolving landscape of artificial intelligence (AI), optimizing human resources (HR) practices is imperative to foster organizational excellence. This qualitative research aims to explore the intersection of AI and HR practices to enhance organizational performance. The research adopts a qualitative approach utilizing in-depth interviews with HR professionals, AI specialists, and organizational leaders. Sampling techniques include purposive and snowball sampling to ensure diverse perspectives are captured. Data analysis involves thematic analysis, allowing for the identification of patterns and themes within the qualitative data. Preliminary findings indicate that organizations are increasingly leveraging AI to streamline HR processes, enhance talent acquisition, and improve employee engagement. Furthermore, the research reveals the significance of ethical considerations and human oversight in AI-driven HR practices. This study contributes to the growing discourse on AI integration in HR and provides insights for organizations aiming to navigate the AI-driven landscape while fostering excellence in HR practices.
Optimizing Human Capital in the Era of AI Advancements : Strategi for the Future Workforce Ruslaini Ruslaini; Dadang Irawan; Farah Qalbia; Seger Santoso
The International Conference on Education, Social Sciences and Technology (ICESST) Vol. 1 No. 2 (2022): The International Conference on Education, Social Sciences and Technology
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/icesst.v1i2.382

Abstract

This research aims to explore strategies for maximizing human capital in the context of advancing artificial intelligence (AI) technologies within the workforce. The study employs a phenomenological approach to understand individuals' experiences and perceptions regarding AI integration in the workplace. Through purposive sampling, data were gathered from a diverse pool of professionals across industries. Semi-structured interviews were conducted to delve into participants' perspectives on the impact of AI on job roles, skill requirements, and organizational dynamics. Thematic analysis was employed to identify recurring patterns and emergent themes within the qualitative data. Preliminary findings suggest a nuanced interplay between AI technologies and human capabilities, highlighting the need for upskilling, retraining, and fostering adaptability among employees. The study contributes to the discourse on optimizing human resources amidst rapid technological advancements, offering insights for organizational strategies to harness the synergy between human expertise and AI innovations in the future workforce.
Co-Authors Cahyatih Kumandang Dadang Irawan Eri Kusnanto Farah Qalbia Muhammad Rizal Seger Santoso