In Lee

According to our database1, In Lee authored at least 35 papers between 1993 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Internet of Things (IoT) Cybersecurity: Literature Review and IoT Cyber Risk Management.
Future Internet, 2020

An optimization approach to capacity evaluation and investment decision of hybrid cloud: a corporate customer's perspective.
J. Cloud Comput., 2019

The Internet of Things for enterprises: An ecosystem, architecture, and IoT service business model.
Internet Things, 2019

Usefulness, funniness, and coolness votes of viewers: An analysis of social shoppers' online reviews.
Ind. Manag. Data Syst., 2018

A study of the effect of social shopping deals on online reviews.
Ind. Manag. Data Syst., 2017

Determining an Optimal Mix of Hybrid Cloud Computing for Enterprises.
Proceedings of the Companion Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017

An Evolutionary Distributed Agent System: A Framework and Application to Manufacturing Design and Control.
Int. J. Knowl. Based Organ., 2016

An Exploratory Study of the Impact of the Internet of Things (IoT) on Business Model Innovation: Building Smart Enterprises at Fortune 500 Companies.
Int. J. Inf. Syst. Soc. Chang., 2016

A Decision-Making Model of Social Shopping in Franchising: Assessing Collaboration Strategies.
Int. J. Inf. Technol. Decis. Mak., 2015

Vibrotactile guidance for drumming learning: Method and perceptual assessment.
Proceedings of the IEEE Haptics Symposium, 2014

Haptic Assistance for Memorization of 2-D Selection Sequences.
IEEE Trans. Hum. Mach. Syst., 2013

Effects of multi-modal guidance for the acquisition of sight reading skills: A case study with simple drum sequences.
Proceedings of the 2013 World Haptics Conference, 2013

Measuring the Value of RFID Investment: Focusing on RFID Budget Allocation.
IEEE Trans. Engineering Management, 2012

Haptic simulation of refrigerator door.
Proceedings of the 2012 IEEE Haptics Symposium, 2012

Guidance methods for bimanual timing tasks.
Proceedings of the 2012 IEEE Haptics Symposium, 2012

Overview of Emerging Web 2.0-Based Business Models and Web 2.0 Applications in Businesses: An Ecological Perspective.
Int. J. E Bus. Res., 2011

Modeling the benefit of e-recruiting process integration.
Decis. Support Syst., 2011

Effect of Active and Passive Haptic Sensory Information on Memory for 2D Sequential Selection Task.
Proceedings of the 2011 International Symposium on Ubiquitous Virtual Reality (ISUVR), 2011

An empirical examination of factors influencing the intention to use mobile payment.
Comput. Hum. Behav., 2010

Effects of kinesthetic information on working memory for 2D sequential selection task.
Proceedings of the 2010 IEEE Haptics Symposium, 2010

A Model for Determining the Optimal Capacity Investment for Utility Computing.
Proceedings of the Economic Models and Algorithms for Distributed Systems, 2010

Learners' acceptance of e-learning in South Korea: Theories and results.
Comput. Educ., 2009

System improvements in Mobile Haptic Interface.
Proceedings of the World Haptics 2009, 2009

An architecture for a next-generation holistic e-recruiting system.
Commun. ACM, 2007

Discrimination of Virtual Environments Under Visual and Haptic Rendering Delays.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

An analytical model of E-recruiting investment decision: an economic employment approach.
IEEE Trans. Engineering Management, 2005

The Evolution of E-Recruiting: A Content Analysis of Fortune 100 Career Web Sites.
J. Electron. Commer. Organ., 2005

An integrated economic decision and simulation methodology for e-recruiting process redesign.
Int. J. Simul. Process. Model., 2005

Triangular Strategic Analysis for Hybrid E-Retailers.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

Evaluating business process-integrated information technology investment.
Bus. Process. Manag. J., 2004

Artificial intelligence search methods for multi-machine two-stage scheduling with due date penalty, inventory, and machining costs.
Comput. Oper. Res., 2001

A multi-neural-network learning for lot sizing and sequencing on a flow-shop.
Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Artificial Intelligence Search Methods for Multi-Machine Two-Stage Scheduling.
Proceedings of the 1999 ACM Symposium on Applied Computing, 1999

A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes.
IEEE Trans. Syst. Man Cybern. Part B, 1997

Joint Lot Sizing and Sequencing with Genetic Algorithms for Scheduling: Evolving the Chromosome Structure.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993