Current Issue
This journal was published on May, 31th, 2024. The authors in this edition come from Indonesia (Institut Bisnis dan Teknologi Pelita Indonesia, Universitas Sains dan Teknologi Indonesia, Sekolah Tinggi Teknologi Pekanbaru, Universitas Nurdin Hamzah, Universitas Riau), Brunei Darussalam (Universiti Brunei Darussalam), China (East China Normal University), and Australia (Bond University).
Articles
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Journal of Applied Business and Technology (e-ISSN: 2722-5380 ; p-ISSN: 2722-5372) is published by Institut Bisnis dan Teknologi Pelita Indonesia (IBTPI) as a media for publication of articles in academia in terms of Business Management and Technology. The editorial team accepts scientific articles in the form of research results, theory application, analytical studies, and literature studies on Business Management and Technology. Journal of Applied Business and Technology also accumulates the literature reviews and critiques in improving theories and researches and offer contributions in developing educational methodology in the area of Business Management and Technology. Journal of Applied Business and Technology is published every four months (three times a year) which is on January, May, and September. |
Subject
Business Management
- Innovation Management
- Business Sustainability
- Business Ethics
- International Business Management
- E-commerce & Digital Management
- Entrepreneurship
- Management Issues in Accounting and finance
- International Trade
- Marketing Management
- Customer Relationship Management
- Human Resource Management
- Leadership
- Operational and Quality Management
- Strategic Management
- Management Information System
- Knowledge Management
- Organizational Behavior and Industrial Relations
- Halal Management
Technology
- Internet of Things
- Blockchain
- Big Data
- Smart Cities
- Machine to Machine
- Neuromorphic Systems
- Data Analytics
- Mobile Applications
- Digital Transformation
- Software Engineering and Quality
- Business Intelligence
- Computing
- Artificial Intelligence
- Machine Vision
- Networking
- Security
- e-Learning