This study involved conducting a survival analysis by fitting a Cox proportional hazards model to Korea Labor Panel data to analyze the impact of parental job loss on children's delayed admission to colleges and universities in South Korea, using 376 subjects whose parental education levels were...

This study uses the lens of competitive dynamics to examine the coopetition process, which combines both cooperation and competition, employed by Qualcomm within the SoC (System on a Chip) design market related to smart devices. Qualcomm succeeded in developing the first SoC, which integrated...

A government plan was announced to expand the share of renewable energy to 20 percent by 2030 in Korea and to construct additional pumped hydro storage (PHS) to prepare for the uncertainty of renewable generation. However, due to the distortion of the Korean electricity market, pumped storage...

Does a shortage of safe assets sow the seeds of instability in a financial system? This paper empirically explores the hypothesis of safe asset shortage-induced excess credit booms and financial instability. As an alternative step forward from the assumption of growth- or wealth-based demands...

This study explains the role of economic uncertainty as a bridge between business cycles and investors' herding behavior. Starting with a conventional stochastic differential equation representing the evolution of stock returns, we provide a simple theoretical model and empirically demonstrate...

Video-on-demand (VOD) service providers face the challenge of making strategic decisions regarding the allocation of movies to specific pricing plan libraries. This study delves into the cannibalization effect that occurs when a movie transitions from the transactional video-on-demand (TVOD)...

This paper investigates the dynamic impact of social distancing policy on coronavirus disease (COVID-19) infection control, mobility of people, and consumption expenditures in the Republic of Korea. We employ structural and threshold vector autoregressive (VAR) models using big-data-driven...