Yun Bae Kim 교수

Planning to adopt the Blockchain is very active in many industries, especially in supply chains. Researchers believe that the Radio-frequency identification (RFIDs), yesterday’s Blockchain, is now obsolete. The strongest reason that the Blockchain is the tool of this era is its unique features; real-time information sharing, cyber-security, transparency, reliability, traceability, and visibility, all of which boost the supply-chain performance. Despite the extensive literature on Blockchain, in

Big data is expected to drive the new digital transformation of society, government, and business. The proportion of firms implementing and utilizing big data, however, is not high. There are many challenges and obstacles related to firm adoption of big data. The purpose of this study is to identify the factors influencing the adoption of big data among Korean firms using the technology-organization-environment (TOE) framework. The results of the analytic hierarchy process (AHP) and regression a

Digital technologies play a vital role in daily human life and significantly influence human attitudes toward the adoption of new and attractive lifestyles. The internet has been widely accepted in every modern society, and the act of purchasing products or services over the internet, known as online/internet shopping, has revolutionized business. This study was designed using the technology acceptance model and theory of reasoned action. This study identified important factors such as perceived

Abstract We introduce the binary bootstrap for inference with autoconelated binary data. Weempirically evaluate the standard eirors and confidence intervals created with the binary bootstrap using four stochastic process with known results: Bernoulli trials, first-order Markov processes, and long customer delays in M/M/l and D/M/10 queues. The binary bootstrap has certain advantagesover the conventional batch means method for creating confidence intervals on the probability oflong delay using on

Empirical studies based on detailed, theory-based analyses are essential for a deep understanding of technology adoption. This study provides an overview of blockchain applications in logistics management, employing a comprehensive theoretical framework. Blockchain is considered a critical digital infrastructure for logistics operations due to its distinctive characteristics, including decentralization, transparency, immutability, real-time information sharing, reliability, and end-to-end visibi

Simulating rare events in telecommunication networks such as estimation for cell loss probability in asynchronous transfer mode (ATM) networks requires a major simulation effort due to the slight chance of buffer overflow. Importance sampling (IS) is applied to accelerate the occurrence of rare events. Importance sampling depends on a biasing scheme to make the estimator from IS unbiased. Adaptive importance sampling (AIS) employs an estimated sampling distribution of IS to the system of interes

The demand forecasting for new telecommunication services has used on modeling the diffusion process, because many new services are based on technological innovations. The original work of modeling diffusion process by Bass (1969) is a model of timing for adoption. The Norton and Bass (1986) multi-generation model is the extension of the classical Bass model to the multi-generation situation. The mobile communication service market of Korea has an outside impact by the service providers that mak

The South Korean aviation market has grown rapidly since the emergence of Low-Cost Carriers (LCCs), and in response to this emergence, the two Full-Service Carriers (FSCs) of South Korea adopted the airline-within-airline (AWA) model and introduced their LCCs to compete with independent LCCs (ILCCs). A few years back, ILCCs filed a petition against Asiana Airlines, one of the two FSCs in South Korea, as Asiana Air was launching another subsidiary on the model of AWA. This, interestingly, indicat

Many inference methods of queueing systems have been developed on the basis of Larson's QIE(queue inference engine) with the assumption of homogeneous Poisson arrivals. It inferred the queueing systems with starting and ending times of service. However, the arrival processes are becoming complex lately, so there are some limits to apply the method. Our study introduces new methods of queue inference which can find the internal behaviors of queueing systems with only external observations, arriva

Quality of Total Hip Arthroplasty (THA) is decided by the range of motion (ROM), a patient can achieve after the transplant. The ROM plays an important role to perform different daily life activities. The post-operation achievement of ROM is dependent on pre-operation plans. Surgeons plan and perform operations based on their previous experiences because of the unavailability of authentic quantitative criteria due to various limitations. This study attempts to support pre-operation planning to c