Article Per Year (5 Year)
p-Index From 2021 - 2026
1.779
P-Index
This Author published in this journals
All Journal JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Journal of Enterprise and Development (JED) J-MIND (Jurnal Manajemen Indonesia) Indo-Fintech Intellectuals: Journal of Economics and Business Journal of Business Management and Economic Development Kegiatan Positif : Jurnal Hasil Karya Pengabdian Masyarakat Jurnal Media Akademik (JMA) Ekomania PENG: Jurnal Ekonomi dan Manajemen
Relifra
Unknown Affiliation
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
TECHNOLOGICAL INNOVATION: ADOPTION OF ARTIFICIAL INTELLIGENCE IN MICRO, SMALL, AND MEDIUM ENTERPRISES (MSMES) Relifra; Ainil Mardiah; Eko Fikriando; Ramadhi; Oza Syafriani
JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi). Vol 12 No 1 (2025): JMBI UNSRAT Volume 12 Nomor 1
Publisher : FEB Universitas Sam Ratulangi Manado

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

Abstract

This study examines the factors influencing the adoption of Artificial Intelligence (AI) technology among Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. By integrating the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT), the research explores how perceived usefulness, perceived ease of use, and social influence impact MSME attitudes and behavioral intentions toward AI adoption. A quantitative method using path analysis and structural equation modeling (SEM) is employed to test the relationships between independent variables (AI adoption) and dependent variables (MSME performance), with data analysis conducted using Smart PLS 4.0 software. A quantitative approach is used to measure variables based on the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). This study explores the factors influencing the adoption and utilization of artificial intelligence (AI) in small and medium enterprises (SMEs) using a framework combining TAM and UTAUT. The findings highlight that perceived usefulness and effectiveness positively shape attitudes toward AI, as do ease of use and effort expectancy. Ease of use also enhances perceptions of AI’s usefulness and effectiveness. Behavioral intention to adopt AI is influenced by perceived benefits, ease of use, and social influence, with gender, age, and experience moderating these effects. Attitudes toward AI strongly drive behavioral intention, which subsequently leads to actual usage. Facilitating conditions, such as technological support and infrastructure, also play a key role in enabling usage, especially for experienced users and when adoption is voluntary. These findings emphasize the importance of usability, perceived value, and contextual factors in encouraging AI adoption in SMEs.
Unpacking the Quiet Quitting Phenomenon: The Role of Work Stress in the Workload and Work-Life Balance Ramadhi; Fikriando, Eko; Ortega, Donal; Yunas, Barkhia; Relifra; Lestari, Destia Ayu
Journal of Enterprise and Development (JED) Vol. 6 No. 3 (2024): Journal of Enterprise and Development (JED)
Publisher : Faculty of Islamic Economics and Business of Universitas Islam Negeri Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/jed.v6i3.11643

Abstract

Purpose: This study explores the role of work stress as a mediator in the relationship between workload, work-life balance, and the phenomenon of quiet quitting among Generation Z employees.Method: The research adopts a quantitative approach, utilizing a random sampling technique. Data were collected from 156 Generation Z employees in West Sumatra through a structured questionnaire designed to assess workload, work-life balance, work stress, and quiet quitting behaviors. The collected data were analyzed using Smart PLS 4.0 to examine the relationships among these variables.Result: The findings found that workload has a significant impact on work stress, while work-life balance does not significantly affect work stress. Similarly, workload significantly influences quiet quitting, but work-life balance does not. Work stress is also found to significantly impact quiet quitting. However, work stress does not mediate the relationship between workload and quiet quitting. In contrast, work stress does mediate the relationship between work-life balance and quiet quitting.Practical Implications for Economic Growth and Development: This study provides practical insights for businesses in West Sumatra to better manage workloads and support work-life balance initiatives. By addressing workload-related stress and fostering a healthier work-life balance, organizations can reduce quiet quitting, thereby improving employee well-being, engagement, and overall productivity. These improvements contribute to sustainable economic growth and development.
Co-Authors Ainil Mardiah Barkhia Yunas Damayanti, Nora Edo Andrefson Eko Fikriando Elok Pangestika Maharani Fikriando, Eko Juli Adevia Juli Adevia Lestari, Destia Ayu Nora Damayanti Nova Suryani Ortega, Donal Oza syafriani Oza Syafriani Qumil Laila Arham Rahmad Saputra Ramadhi RAMADHI RAMADHI Ronvy, Al Shaffaat Setiadani, Merza Sri Nova Deltu Syafriani, Oza Yogi Fernandes Yozi Putri Sakinah