Sangjae Lee

Sangjae Lee

Sejong University

H-index: 32

Asia-South Korea

About Sangjae Lee

Sangjae Lee, With an exceptional h-index of 32 and a recent h-index of 22 (since 2020), a distinguished researcher at Sejong University, specializes in the field of Business Information Systems, Business Analytics, Cybersecurity Management, Security Management, Computer Information Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methods

Attribute of big data analytics quality affecting business performance

The moderating effects of online streaming content service characteristics on online word-of-mouth for service performance

Explanatory and predictive analytics for movie production efficiency by online word-of-mouth

Hierarchical balanced scorecard-based organizational goals and the efficiency of controls processes

The moderating effect of movie production efficiency on the relationship between eWOM and review helpfulness

User, system, and social related factors affecting perceived usefulness for continuance usage intention of mobile apps

Comparative study of service quality on VIP customer satisfaction in Internet banking: South Korea case

Sangjae Lee Information

University

Position

___

Citations(all)

5790

Citations(since 2020)

2236

Cited By

4337

hIndex(all)

32

hIndex(since 2020)

22

i10Index(all)

54

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

Sangjae Lee Skills & Research Interests

Business Information Systems

Business Analytics

Cybersecurity Management

Security Management

Computer Information Systems

Top articles of Sangjae Lee

Exploring the influence of online word-of-mouth on hotel booking prices: insights from regression and ensemble-based machine learning methods

Data Science in Finance and Economics

2024/1

Attribute of big data analytics quality affecting business performance

Journal of Social Computing

2023/12

The moderating effects of online streaming content service characteristics on online word-of-mouth for service performance

Applied Sciences

2023/12

Explanatory and predictive analytics for movie production efficiency by online word-of-mouth

Annals of Mathematics and Physics

2023

Hierarchical balanced scorecard-based organizational goals and the efficiency of controls processes

Journal of Business Research

2021

The moderating effect of movie production efficiency on the relationship between eWOM and review helpfulness

Management Research Review

2021

User, system, and social related factors affecting perceived usefulness for continuance usage intention of mobile apps

International Journal of Mobile Communications

2021

Comparative study of service quality on VIP customer satisfaction in Internet banking: South Korea case

Sustainability

2020

User factors affecting both subscription intention and time for 4G wireless Internet service

Sage Open

2020

The impact of individual motivations and social capital on the continuous usage intention of mobile social apps

Sustainability

2020

Using the social influence of electronic word-of-mouth for predicting product sales: the moderating effect of review or reviewer helpfulness and product type

Sustainability

2020

The impact of online review helpfulness and word of mouth communication on box office performance predictions

Humanities & Social Sciences Communications

2020

Using Bayesian network to predict online review helpfulness

Sustainability

2020

Movie production efficiency moderating between online word-of-mouth and subsequent box office revenue

Sustainability

2020

Comparing performance of ensemble methods in predicting movie box office revenue

Heliyon

2020

See List of Professors in Sangjae Lee University(Sejong University)