Asymmetric Impact Country Image and Materialism on the Purchase Quality Evaluation

Byoungho Jin(진병호),Naeun Kim(김나은),Heesoon Yang(양희순),Minji Jung(정민지) 한국경영학회 2017 한국경영학회 통합학술발표논문집 Vol.2017 No.08

본 연구는 미국, 중국, 프랑스, 베트남에 거주하는 소비자를 대상으로 한국의 국가이미지와 소비자의 물질주의가 한국 화장품의 지각된 품질에 미치는 영향을 실증적으로 분석하였다. 국가이미지를 국가의 전반적인 차원인 거시적 국가이미지와 특정 국가의 제품 차원인 미시적 국가이미지로 분류하였고 연령, 성별, 한국방문경험, 한국 화장품 구매경험을 통제변수로 하여 그 영향력을 살펴보았다. 이를 위해 만 20세 이상의 남․녀 소비자를 대상으로 성별, 연령별로 할당표집하여 온라인설문조사를 실시하였으며, 총 900부가 최종분석에 활용되었다. 분석방법은 SPSS 20.0을 활용하여 다중회귀분석을 실시하였다. 본 연구의 결과는 다음과 같다. 첫째, 거시적 국가이미지, 미시적 국가이미지 그리고 물질주의 모두 지각된 품질에 정적 영향을 미치는 것으로 드러났다. 그 가운데 거시적 국가이미지의 영향력이 가장 큰 것으로 나타났다. 둘째, 독립변수의 영향력을 국가별로 살펴보기 위해 국가별로 회귀분석을 실시한 결과 미국과 프랑스 소비자의 경우 거시적 국가이미지와 미시적 국가이미지가 지각된 품질에 영향을 미쳤으며, 거시적 국가이미지의 영향력이 더 큰 것으로 나타났다. 셋째, 중국 소비자의 경우 미시적 국가이미지만 영향을 미치는 것으로 밝혀졌으며 베트남 소비자의 경우, 미시적 국가이미지와 물질주의가 영향을 미치는 것으로 나타났다. 이에 따라 한국 화장품 수출을 증가시키기 위해 제품이미지뿐만 아니라 한국의 국가이미지 향상에 노력을 기울일 필요가 있다. 또한 국가의 경제발전수준과 소비자의 특성을 고려하여 마케팅 전략을 수립할 필요가 있다. Focusing on cue theory, the purpose of this study is to examine the impact of overall country image (i.e., macro country image), product-specific country image (i.e., micro country image) and materialism on perceived quality of Korean cosmetics. Data were collected through online survey in four countries, representing two leading developed countries (U.S. and France) and two important emerging countries (China and Vietnam). Multiple regression analysis was used to analyze the data. Overall, the results revealed that the positive effects of country image and materialism on product evaluation. Among their effects, the impact of micro country image was the greatest and robust across all four countries. However, the transfer of macro country image on quality evaluation was significant only in U.S. and France, not in China and Vietnam. Further, the findings found that the transfer of materialism among consumers to product quality was significant only in Vietnam, which implies that strong impact of materialistic consumers in emerging markets may attach products from more developed markets. Theoretical explanations and practical implications for apparel companies and governments are provided.

The power of 4th industrial revolution in the fashion industry: what, why, and how has the industry changed?

Byoungho Ellie Jin,Daeun Chloe Shin 한국의류학회 2021 Fashion and Textiles Vol.8 No.1

The 4th Industrial Revolution (4IR henceforth) is fundamentally reshaping the way we live and work. Each industrial revolution has evolved to solve major problems in society. This study views unmatched demand and oversupply as the major problems in the fashion industry and posits that 4IR technologies are being deployed to solve these problems by addressing three prime goals—hyper-personalization, environmental sustainability, and productivity. Based on a literature review and analyses of global industry cases, this study examines what, why, and how the 4IR technologies address these three prime goals. By comparing successful cases that do not utilize the 4IR technologies with those that do, this study highlights that innovative business models that address the unmet needs of the consumers are more important than technology adoption per se. Drawn from ample global cases, the fndings can ofer strategic directions for fashion frms preparing for unforeseeable changes that are further being accelerated by the Covid-19 pandemic. This study concludes with insights into how 4IR is shaping the fashion industry and raises thought-provoking questions for the industry and academia. The 4th Industrial Revolution (4IR henceforth) is fundamentally reshaping the way we live and work. Each industrial revolution has evolved to solve major problems in society. This study views unmatched demand and oversupply as the major problems in the fashion industry and posits that 4IR technologies are being deployed to solve these problems by addressing three prime goals—hyper-personalization, environmental sustainability, and productivity. Based on a literature review and analyses of global industry cases, this study examines what, why, and how the 4IR technologies address these three prime goals. By comparing successful cases that do not utilize the 4IR technologies with those that do, this study highlights that innovative business models that address the unmet needs of the consumers are more important than technology adoption per se. Drawn from ample global cases, the findings can offer strategic directions for fashion firms preparing for unforeseeable changes that are further being accelerated by the Covid-19 pandemic. This study concludes with insights into how 4IR is shaping the fashion industry and raises thought-provoking questions for the industry and academia.

Analysis of the GCC-PHAT technique for multiple sources

Byoungho Kwon,Youngjin Park,Youn-sik Park 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10

Techniques to estimate the time delay of arrival (TDOA) using the measurements of the acoustic signals by microphones have been studied in various fields such as the robot auditory system, teleconference system and speech recognition system [1]. One common method of determining TDOA is to compute the cross correlation function. The Generalized Cross Correlation (GCC) method, which calculates the correlation function by using inverse Fourier transformation of the cross power spectral density function multiplied by the proper weighting function, was proposed by Knapp and Cater in 1976. This method analyzed the weighting functions to estimate the optimal TDOA for a single source. In this paper, we derived the cross correlation function by GCC method with PHAT weighting function for multiple sources and ascertained the relationship between the correlation value and source characteristics. Moreover, we compared the derived GCC function for two sources case with the real GCC function calculated by the actual signals and verified their similarity.

Sound Source Localization for Robot Auditory System Using the Summed GCC Method

Byoungho Kwon,Youngjin Park,Youn-sik Park 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10

A variety of methods for sound source localization applied to robot auditory system have been developed. Most of them mainly depend on the time difference of arrival (TDOA) between microphones because of light computational load and easy application. Generally, possible region to localize the source, whatever localization methods are used, depends on the number of microphones. In case of the localization method based on TDOA, minimum four microphones which don’ all lie in the same plane are needed to estimate the source direction in 3D space. However, the new approach based on the summed GCC method can estimate the source direction in 3D space utilizing three microphones only and the platform effect. Because microphones for the robot auditory system are usually installed on the outer robot platform the proposed algorithm is quite suitable for robot applications. Difference between mapping functions caused by robot platform makes the source localization in 3D space with three microphones only be possible. We have shown a case where the sound source localization in some restricted region of the 3D space is possible by using the proposed approach through the ideal simulation.

Multiple sound sources localization using the spatially mapped GCC functions

Byoungho Kwon,Youngjin Park,Youn-sik Park 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

A variety of methods for sound source localization have been developed recently and applied to several applications such as surveillance, auditory scene analysis for hearing aids, robot auditory system and so on. In the previous work, we proposed the sound source localization using the spatially mapped GCC functions based on TDOA under the single source assumption for robot auditory system. However, multi-talker case is general in human-robot interaction. Therefore, multiple source localization approaches are necessary. In this paper, we confirm the feasibility of multiple sources localization of the proposed method with white noise signals. Experimental results with white noise signals show that it is possible for the proposed method to estimate the multiple sources location when sources are uncorrelated and we can kwon that peak value of the summed GCC function depends on the source power. Moreover, experiments with human speeches in the real environment are carried out to evaluate the performance of the proposed method. These results observe that the proposed method can estimate the multiple source locations precisely and simultaneously.

SOUND SOURCE LOCALIZATION IN THE NON FREE-FIELD CONDITION

Byoungho Kwon,Youngjin Park,Youn-sik Park 한국소음진동공학회 2008 한국소음진동공학회 국제학술대회논문집 Vol.2008 No.7

How Are Born Globals Different from Non-Born Global Firms? Evidence from Korean Small- and Medium-Sized Enterprises

Byoungho Jin,Hongjoo Woo,Jae-Eun Chung 한국무역학회 2015 Journal of Korea trade Vol.19 No.3

Born global (BG) firms internationalize rapidly at or near their inception to the world’s multiple lead markets such as the US and Europe, which contrasts with the classic internationalization theory (i.e., Stage model) that views internationalization as a gradual process. Most BG studies focus on describing BGs and why firms choose apid internationalization has yet to be sufficiently addressed. This study was designed to understand what factors are related to BG among Korean small- and medium-sized enterprises (SMEs). Bounded by the liability of smallness, SMEs are deficient in financial and human resources, which are typically known as inhibitors of internationalization. Nonetheless, some SMEs internationalize rapidly at or near founding beyond the home continent and become BGs. In order to clearly identify factors related to BGs, two groups (BGs versus Non-BGs) were predicted by eight potential BG related factors. Analyses of 480 survey data collected from Korean SMEs nationwide revealed that among the eight BG related factors, five are found to be significant. That is, Korean SMEs with high entrepreneurial proclivity, highly unique product development, high R&D investment, less foreign network and export consumer products were discovered to be BGs. The findings of this study contribute to advancing BG theories in that, it provides empirical evidence that clearly articulates the “why rapid” aspect of BGs.

Consumer store experience through virtual reality: its effect on emotional states and perceived store attractiveness

Byoungho JIN,김귀아,Marguerite Moore,Lori Rothenberg 한국의류학회 2021 Fashion and Textiles Vol.8 No.1

Based on the stimuli-organism-response model, this study aims to examine whether consumers’ store experience through virtual reality (VR), compared to website experience, can attract them enough to perceive the online store as appealing. Two types of stimuli were developed for the experiments: consumers’ VR store experience (106 data) (i.e., having respondents experience 360-degree-based VR store videos recorded at a fashion retailer) and store website experience (107 data) (i.e., having respondents experience the same store’s website). The results revealed that relative to an ordinary store website, consumers’ VR store experience evoked positive emotions and increased perceived store attractiveness. This study also discovered that store familiarity does not moderate the relationship between the two store experience types and evoked emotions, implying that VR technology is effective regardless of consumers’ familiarity with a store. Text analytics were also utilized, providing additional insights about their VR store experiences. This study suggests an effective method for online retailers to emulate an attractive store environment and entice consumers through VR, regardless of the retailers’ fame. Specifically, it demonstrates the effectiveness of VR over website in enhancing store attractiveness, an under-studied area.

Message from Editor-in-Chief

Byoungho Lee 한국광학회 2009 Current Optics and Photonics Vol.13 No.4

Efficient Signature-Driven Self-Test for Differential Mixed-Signal Circuits

Byoungho Kim 대한전자공학회 2016 Journal of semiconductor technology and science Vol.16 No.5

Predicting precise specifications of differential mixed-signal circuits is a difficult problem, because analytically derived correlation between process variations and conventional specifications exhibits the limited prediction accuracy due to the phase unbalance, for most self-tests. This paper proposes an efficient prediction technique to provide accurate specifications of differential mixed-signal circuits in a system-on-chip (SoC) based on a nonlinear statistical nonlinear regression technique. A spectrally pure sinusoidal signal is applied to a differential DUT, and its output is fed into another differential DUT through a weighting circuitry in the loopback configuration. The weighting circuitry, which is employed from the previous work, efficiently produces different weights on the harmonics of the loopback responses, i.e., the signatures. The correlation models, which map the signatures to the conventional specifications, are built based on the statistical nonlinear regression technique, in order to predict accurate nonlinearities of individual DUTs. In production testing, once the efficient signatures are measured, and plugged into the obtained correlation models, the harmonic coefficients of DUTs are readily identified. This work provides a practical test solution to overcome the serious test issue of differential mixed-signal circuits; the low accuracy of analytically derived model is much lower by the errors from the unbalance. Hardware measurement results showed less than 1.0 dB of the prediction error, validating that this approach can be used as production test.