Article Per Year (5 Year)
p-Index From 2021 - 2026
0.983
P-Index
This Author published in this journals
All Journal Jurnal Bisnis dan Manajemen ADI Journal on Recent Innovation (AJRI) Startupreneur Business Digital (SABDA Journal) JOT
Tiurida Lily Anita
Bina Nusantara University
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
THE ROLE OF EMPLOYEE CREATIVITY AS A MEDIATOR BETWEEN HIGH-PERFORMANCE WORK PRACTICE, INNOVATIVE BEHAVIOR, AND SUSTAINABLE COMPETITIVE ADVANTAGE IN THE HOTEL INDUSTRY Sarfilianty Anggiani; Tiurida Lily Anita
Jurnal Bisnis Manajemen Vol 22, No 2 (2021): September 2021
Publisher : Fakultas Ekonomi dan Bisnis Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jbm.v22i2.748

Abstract

This study aims to find if employee creativity has a significant impact as a mediator to High-performance work practice, innovative behavior, and sustainable competitive advantage in the Hotel industry during the pandemic. This study was conducted by conducting observations and surveys to Four Stars Hotels around the Jakarta area. Population and samples were taken from employees who work in the Four stars Hotel since the hotel was started operating again around December 2020. This research was conducted in a quantitative approach. The data collection instrument using a questionnaire with a sampling technique is purposive sampling. The analysis technique, namely path analysis using SMART PLS, is carried out to show whether employee creativity has an impact as a mediator to high-performance work practice, innovative behavior, and sustainable competitive advantage. The result shows that Employee creativity has an impact as a mediator to high-performance work practice, innovative behavior, and sustainable competitive advantage. Innovative behavior has no direct impact on sustainable competitive behavior.
Adaptive Strategic Approaches and Their Impact on Economic Growth in Dynamic Markets Thomas Sumarsan Goh; Samantha Martinez; Santa Lusianna Sitorus; Tiurida Lily Anita
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 2 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i2.898

Abstract

In an era marked by accelerating globalization, digital disruption, and market volatility, businesses are compelled to develop adaptive strategic approaches to sustain performance and contribute to broader economic development. This study investigates how adaptive strategies characterized by flexibility, innovation, and responsiveness affect economic growth within dynamic market environments. The research aims to analyze the relationship between strategic adaptability and macroeconomic indicators such as GDP growth, productivity, and business resilience across varying national and industry contexts. Employing a mixed-method approach, the study integrates a systematic literature review with comparative case analyses from both developed and emerging economies, focusing on sectors experiencing rapid transformation. The findings reveal that organizations implementing adaptive strategies such as real-time decision-making, agile resource allocation, and continuous innovation are better positioned to respond to external shocks and, in turn, significantly enhance national economic performance. Moreover, the research highlights that countries with high levels of institutional support for strategic adaptability tend to achieve more sustainable growth trajectories. The study concludes that adaptive business strategies are not only essential for organizational competitiveness but also serve as key drivers of economic resilience in an increasingly uncertain global landscape. These insights offer valuable implications for policymakers, industry leaders, and researchers aiming to foster adaptive capacity as a means of achieving long-term economic stability and growth.
Developing a Green AI Governance Framework for Sustainable Digital Business Transformation Syahyono Syahyono; Rifqi Fahrudin; Tiurida Lily Anita; Nyree Ani
ADI Journal on Recent Innovation (AJRI) Vol. 8 No. 1 (2026): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v8i1.1581

Abstract

Amid the rapid growth of Artificial Intelligence (AI) adoption in business environments, concerns regarding energy consumption, carbon emissions, ethical accountability, and sustainable governance have become increasingly significant, creating the need for frameworks that align AI deployment with sustainability objectives and digital transformation strategies. This study aims to develop a green AI governance framework that supports sustainable digital business transformation by integrating environmental, governance, and technological considerations into AI implementation practices. Using a Systematic Literature Review (SLR), relevant studies published between 2020 and 2025 were identified, screened, and analyzed to synthesize key themes, governance dimensions, and sustainability principles associated with green AI adoption in organizational contexts. The findings reveal that effective green AI governance is shaped by four interconnected dimensions including environmental sustainability, ethical and regulatory compliance, operational efficiency, and stakeholder accountability. Based on these findings, a conceptual framework is proposed that links AI lifecycle management, governance mechanisms, sustainability metrics, and business transformation outcomes to promote responsible and resource efficient AI deployment. The study concludes that organizations can enhance the sustainability and long term value of digital transformation initiatives by adopting a structured green AI governance approach that balances innovation, transparency, and environmental responsibility. The proposed framework contributes to both academic literature and managerial practice by offering strategic guidance for implementing sustainable AI systems while supporting organizational competitiveness and broader Sustainable Development Goals (SDGs).
Designing Inclusive Companion Robots to Mitigate Bias and Enhance Empathy in AI-Driven Care Systems Karnawati Karnawati; Dwi Nur Ramadhan; Tiurida Lily Anita; Risma Nurmala; Lily Maria
Journal of Orange Technology Vol. 2 No. 2 (2026): April
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i2.76

Abstract

This study adopts a qualitative research approach using a semi-structured interview design. Data were collected from individuals with diverse physical, sensory, and cognitive disabilities who have prior experience interacting with AI-based care technologies. The data were analyzed using thematic analysis to identify recurring patterns and key experiential dimensions related to ethical perception, inclusivity, trust, emotional support, and well-being. The findings reveal that ethical AI design, particularly in terms of transparency, fairness, and privacy, plays a crucial role in fostering user trust and a sense of security. Inclusive design features, such as accessibility, adaptability, and personalization, were found to enhance user comfort, independence, and emotional engagement. Furthermore, emotional support emerged as a central theme, indicating that users perceive AI care agents not only as assistive tools but also as sources of psychological reassurance and companionship. This study contributes to the growing body of human-centered AI research by providing qualitative insights into how ethical and inclusive design principles shape meaningful user experiences and well-being outcomes among people with disabilities. The findings highlight the importance of integrating humanistic values into AI care development to promote equitable, responsible, and sustainable digital care solutions.
Co-Authors Dwi Nur Ramadhan Karnawati Karnawati Lily Maria Maidar Simanihuruk Nyree Ani Rifqi Fahrudin Risma Nurmala Samantha Martinez Santa Lusianna Sitorus Sarfilianty Anggiani Syahyono Syahyono Thomas Sumarsan Goh Yuviani Kusumawardhani