지능정보연구 | Journal of Intelligence and Information Systems

Welcome to JIISOnline.org

The Journal of Intelligence and Information Systems (ISSN: 2288-
4866(Print), ISSN: 2288-4882(Online)) is the official academic journal
of the Korea Intelligent Information Systems Society (KIISS).
It endeavors to share the most state-of-the-art research in the field of
intelligent IT and its applications to business domain.

JIIS solicits research papers addressing original ideas with new results on information technologies, systems, and their applications.
The research should address issues concerning the theories, models, and implementation of intelligent information technologies and systems.

The research topics of the JIIS include, but not limited to
a) business applications of intelligent IT;
b) Intelligent IT;
c) Management of Intelligent IT.
All submitted manuscripts will be peer-reviewed, and the articles
will be published shortly after acceptance.

JIIS is indexed and abstracted in :

Current Issue : Vol. 28, No. 1 (Mar. 2022)

1. The Role of Content Services Within a Firm’s Internet Service Portfolio: Case Studies of Naver Webtoon and Google YouTube

Jiwon Choi, Wooje Cho, Yoonhyuk Jung, and YoungOk Kwon

Vol. 28, No. 1, Page: 1 ~ 28 |

2. A Study on the Introductioin of Data Trusts System to Expand the Rights of Privacy Self-Determination

Keunjae Jang, and Seungyong Lee

Vol. 28, No. 1, Page: 29 ~ 43 |

3. Information types and characteristics within the Wireless Emergency Alert in COVID-19: Focusing on Wireless Emergency Alerts in Seoul

Sungwook Yoon, and Kihwan Nam

Vol. 28, No. 1, Page: 45 ~ 68 |

4. Export Prediction Using Separated Learning Method and Recommendation of Potential Export Countries

Yeongjin Jang, Jongkwan Won, and Chaerok Lee

Vol. 28, No. 1, Page: 69 ~ 88 |

5. Video Analysis System for Action and Emotion Detection by Object with Hierarchical Clustering based Re-ID

Sang-Hyun Lee, Seong-Hun Yang, Seung-Jin Oh, and Jinbeom Kang

Vol. 28, No. 1, Page: 89 ~ 106 |

6. Structural features and Diffusion Patterns of Gartner Hype Cycle for Artificial Intelligence using Social Network analysis

Sunah Shin, and Juyoung Kang

Vol. 28, No. 1, Page: 107 ~ 129 |

7. Semantic Visualization of Dynamic Topic Modeling

Jinwook Yeon, Hyunkyung Boo, and Namgyu Kim

Vol. 28, No. 1, Page: 131 ~ 154 |

8. A study on the classification of research topics based on COVID-19 academic research using Topic modeling

So-yeon Yoo, and Gyoo-gun Lim

Vol. 28, No. 1, Page: 155 ~ 174 |

9. Analysis of promising countries for export using parametric and non-parametric methods based on ERGM: Focusing on the case of information communication and home appliance industries

Seung-pyo Jun, Jinny Seo, and Jae-Young Yoo

Vol. 28, No. 1, Page: 175 ~ 196 |

10. A study on the detection of fake news – The Comparison of detection performance according to the use of social engagement networks

Iitae Jeong, and Hyunchul Ahn

Vol. 28, No. 1, Page: 197 ~ 216 |

11. A Study on the Development Methodology of Intelligent Medical Devices Utilizing KANO-QFD Model

Yechan Kim, Kwangeun Choi, and Doohee Chung

Vol. 28, No. 1, Page: 217 ~ 242 |

12. A Study on the Mechanism of Social Robot Attitude Formation through Consumer Gaze Analysis: Focusing on the Robot's Face

Sangjip Ha, Eunju Yi, In-jin Yoo, and Do-Hyung Park

Vol. 28, No. 1, Page: 243 ~ 262 |

13. Prediction of Key Variables Affecting NBA Playoffs Advancement: Focusing on 3 Points and Turnover Features

Sehwan An, and Youngmin Kim

Vol. 28, No. 1, Page: 263 ~ 286 |

14. KANO-TOPSIS Model for AI Based New Product Development: Focusing on the Case of Developing Voice Assistant System for Vehicles

Sungmin Yang, Junhyuk Tak, Donghwan Kwon, and Doohee Chung

Vol. 28, No. 1, Page: 287 ~ 319 |

15. Analysis of the Effects of E-commerce User Ratings and Review Helfulness on Performance Improvement of Product Recommender System

LIU FAN, Byunghyun Lee, Ilyoung Choi, Jaeho Jeong, and Jaekyeong Kim

Vol. 28, No. 1, Page: 311 ~ 328 |

16. Application of spatiotemporal transformer model to improve prediction performance of particulate matter concentration

Youngkwang Kim, Bokju Kim, and SungMahn Ahn

Vol. 28, No. 1, Page: 329 ~ 352 |

Correspondence

If you have any questions, please send them to Manuscript Editor(journal@kiiss.or.kr) or Manager(E-mail. office@kiiss.or.kr, Tel. +82-2-3295-0997, Office. International Hall Rm. 305, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea).