• Journal of Distribution Science
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• v.20 no.3
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• pp.1-11
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• 2022

Purpose: This study aims at understanding the impacts of three omnichannel attributes (channel transparency, channel uniformity, channel convenience) and four customer perceptions (perceived innovativeness, perceived personalization, perceived risk, perceived credibility) on customer experience and channel selection decision. Research design and methodology: A quantitative online survey with 356 shoppers was executed. The partial least squares linear structural model (PLS-SEM) and Smart PLS were adopted to analyze the collected data and test the proposed hypotheses. Results: The research findings indicate four dominant results: (i) The customers' channel selection is directly determined by customer experience; perceived innovativeness; perceived personalization; perceived risk; and perceived credibility; and (ii) among these, the perceived risk shows negative impact on the customer's experience and customers' channel selection whereas others reveal the positive status; (iii) The customer experience represents the most decisive impact on the channel selection, then perceived personalization, perceived credibility, perceived innovativeness, and perceived risk. (iv) Three proposed channel attributes (transparency, uniformity, convenience) significantly influence the overall customer experience. Conclusions: This research adds to the body of knowledge in omnichannel retailing, customer experience, and customer channel selection. Furthermore, this research provides omnichannel retailers with practical implications for improving customer channel selection.

• Journal of Biosystems Engineering
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• v.27 no.2
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• pp.117-124
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• 2002

This research was conducted to develop a method to remove the effect of surface temperature of Shingo pears for sugar content measurement. Sugar content was measured by a near-infrared spectrum analysis technique. Reflected spectrum and sugar content of a pear were used for developing regression models. For the model development, reflected spectrums having wavelengths in the range of 654 to 1,052nm were used. To remove the effect of surface temperature, special sample preparation techniques and partial least square (PLS) regression models were proposed and tested. 71 Shingo pears stored in a cold storage, which had 2$^{\circ}C$ inside temperature, were taken out and left in a room temperature for a while. Temperature and reflected spectrum of each pear was measured. To increase the temperature distribution of samples, temperature and reflected spectrum of each pear was measured four times with one hour twenty minutes interval. During the experiment, temperature of pears increased up to 17 $^{\circ}C$. The total number of measured spectrum was 284. Three groups of spectrum data were formed according to temperature distribution. First group had surface temperature of 14$^{\circ}C$ and total number of 51. Second group consisted of the first and the fourth experiment data which contained the minimum and the maximum temperatures. Third group consisted of 155 data with normal temperature-distribution. The rest data set were used for model evaluation. Results shelved that PLS model I, which was developed by using the first data group, was inadequate for measuring sugar content of pears which had different surface temperatures from 14$^{\circ}C$. After temperature compensation, sugar content predictions became close to the measured values. Since using many data which had wide range of surface temperatures, PLS model II and III were able to predict sugar content of pears without additional temperature compensation. PLS model IV, which included the surface temperatures as an independent variable. showed slightly improved performance(R$^2$=0.73). Performance of the model could be enhanced by using samples with more wide range of temperatures and sugar contents.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.517-532
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• 2022

Purpose: The purpose of this study is to propose useful suggestions by analyzing causal effect relationship between perceived usefulness (PU), perceived ease-of-use (PEOU), symbolic adoption (SA) which have four constructs, and ATCIS-II usage in mandatory context. Methods: Based on prior research, a research model was constructed using the variables of Technology Acceptance Model (TAM), the symbolic adoption theory, and the post-adoptive behavior variables. A structured questionnaire was conducted for those who use ATCIS-II in Republic of Korea Army (ROKA), and a total of 183 usable responses were collected and empirically analyzed using SmartPLS 3.3.9. Results: The results of this study are as follows; PEOU have a significant effect on PU and two constructs of SA (heightened enthusiasm, effort worthiness). PU have a significant effect on every construct of SA (heightened enthusiasm, mental acceptance, effort worthiness, use commitment). In addition, it was found that heightened enthusiasm have a significant effect on both expanded usage and exploratory usage. Also, mental acceptance and use commitment have a significant effect on exploratory usage. Conclusion: The findings of this empirical study have implications for proposing SA can explain mandated user's behavior and giving possible way that improve organization performance which adopt Information System (IS) by motivating end-user to extend IS's feature and explore new ways of using IS at work.

• Journal of the Korean Society of International Agriculture
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• v.31 no.4
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• pp.378-383
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• 2019

To determine whether FT-IR spectral analysis based on multivariate analysis for whole cell extracts can be used to discriminate papaya at metabolic level. FT-IR spectral data from leaves were analyzed by principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA). FT-IR spectra confirmed typical spectral differences between the frequency regions of 1,700-1,500, 1,500-1,300 and 1,100-950 cm^-1, respectively. These spectral regions were reflecting the quantitative and qualitative variations of amide I, II from amino acids and proteins (1,700-1,500 cm^-1), phosphodiester groups from nucleic acid and phospholipid (1,500-1,300 cm^-1) and carbohydrate compounds (1,100-950 cm^-1). The result of PCA analysis showed that papaya leaves could be separated into clusters depending on different growth temperature. In this case, showed discrimination confirmed according to metabolite content of growth condition from papaya. And PLS-DA analysis also showed more clear discrimination pattern than PCA result. Furthermore, these metabolic discrimination systems could be applied for rapid selection and classification of useful papaya cultivars.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.151.2-151.2
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• 2014

Broadband impedances for the 3-GeV pohang light source-II (PLS-II) storage ring have been numerically estimated using a full three dimensional finite-difference time-domain code, CST particle studio. The total broadband impedance of all the vacuum components was estimated as 0.256 ohm, which is a small fraction of the total machine impedance budget.

• Korean Journal of Agricultural Science
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• v.38 no.4
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• pp.761-767
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• 2011

The objective of this study was to predict total bacteria count of pork meats by using the portable electronic nose systems developed throughout two stages of the prototypes. Total bacteria counts were measured for pork meats stored at $4^{\circ}C$ for 21days and compared with the signals of the electronic nose systems. PLS(Partial least square), PCR (Principal component regression), MLR (Multiple linear regression) models were developed for the prediction of total bacteria count of pork meats. The coefficient of determination ($R_p{^2}$) and root mean square error of prediction (RMSEP) for the models were 0.789 and 0.784 log CFU/g with the 1st system for the pork loin, 0.796 and 0.597 log CFU/g with the 2nd system for the pork belly, and 0.661 and 0.576 log CFU/g with the 2nd system for the pork loin respectively. The results show that the developed electronic system has potential to predict total bacteria count of pork meats.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.217-227
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• 2022

With the aim of examining the effects of implementing international financial reporting standards (IFRS) on teaching accounting and auditing at universities and colleges in Vietnam, a case study was conducted at 30 universities, colleges, and 208 lecturers in Vietnam. Next, the study employed the structural model analysis method by PLS_SEM software to process and analyze the collected data. The research results show that: (1) There are eight factors that affect how IFRS is applied to teaching, including the training program, (ii) teaching staff, (iii) IFRS application regulations, (iv) related party requirements, (v) faculty/school administrators, (vi) teaching aids, (vii) IFRS teaching methods, and (iii) students; (2) there are three factors that affect the quality of teaching staff, including applying IFRS to teaching at the university and colleges, (ii) Regulations on the application of IFRS, (iii) Requirements from related parties. At the same time, the study also shows that, regarding the indirect relationships, applying IFRS to teaching does not play an intermediary role in these relationships. However, at the 10% significance level, it was found that there is an indirect relationship between regulations on the application of IFRS by the Ministry of Finance and the quality of teaching staff through the variable applying IFRS to teaching.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.1
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• pp.72-80
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• 2017

Gamma-ray has some advantages as a weapon: it has the ability to transmutate matter, high penetrability through materials, and it is very harmful to living things. So it is worth to study the features of gamma-ray weapon in order to utilize it. Such abilities were simulated on the basis of Monte Carlo simulation program GEANT4. For the simulation conceptual design of gamma-ray weapon was conducted. High energy electrons, which were necessary for the high energy gamma-rays, were produced by linear electron accelerator, of which the parameters were derived from the Pohang Light Source(PLS-II). Gamma-rays were get by bremsstrahlung mechanism. The spectra of gamma-rays, that were measured at distances of 500 m, 1000 m, 1500 m and 2000 m, were gained by GEANT4.

• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.118.1-118.1
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• 2016

포항가속기연구소 PLS-II 저장링에 설치 운용을 위한 타원편광 언듈레이터(EPU114)용 초고진공 진공 챔버는 전체를 기계가공 후 용접하여 제작하는 기존의 방식을 바꾸어 알루미늄 압출 공법을 적용한 진공 챔버의 개발과 본제품 제작을 완료하였다. 압출 공법을 이용한 초고진공용 진공 챔버 제작은 기계가공 및 용접비용의 절감과 동일 형상의 진공 챔버를 상대적으로 쉽게 대량 생산을 할 수 있는 장점이 있다. 알루미늄 압출형 초고진공 진공 챔버의 기계, 진공 특성을 달성하기 위하여 정밀금형 제작기술, 특수압출기술, 표면처리기술 등이 필수적이다. 본 발표에서는 초고진공 진공 챔버 개발을 위하여 적용된 압출 공법의 소개와 함께 압출 공법이 적용된 타원편광 언듈레이터(EPU114)진공 챔버의 제작, 초고진공 진공달성, 설치 등의 과정을 내용으로 한다.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.105-105
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• 2015

포항가속기연구소 PLS-II 저장링에 설치 운용중인 In-vacuum undulator (이하, IVU) 내부 Cu/Ni foil에 발생한 국부적 손상에 대하여, 원인을 분석하고 수리 및 정상 운용을 위한 절차들이 진행 되었다. 해체된 IVU의 손상부위를 세밀하게 조사하고 손상 원인에 대하여 다각도로 분석하였다. 손상된 Cu/Ni foil은 개선된 신규 제품으로 교체하고, 손상 원인이 될 수 있는 부품들을 제거토록 하였다. IVU 내부 관측을 위한 장치를 추가 설치하고 안정적인 온도 데이터 획득을 위한 노력도 함께 검토 되었다. 본 발표는 IVU 손상에 대한 원인분석 내용과 함께 해체, 수리, 재설치 과정 등에 대한 종합적인 내용으로 한다.