• Journal of Ginseng Research
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• v.38 no.1
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• pp.52-58
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• 2014

To determine whether Fourier transform (FT)-IR spectral analysis combined with multivariate analysis of whole-cell extracts from ginseng leaves can be applied as a high-throughput discrimination system of cultivation ages and cultivars, a total of total 480 leaf samples belonging to 12 categories corresponding to four different cultivars (Yunpung, Kumpung, Chunpung, and an open-pollinated variety) and three different cultivation ages (1 yr, 2 yr, and 3 yr) were subjected to FT-IR. The spectral data were analyzed by principal component analysis and partial least squares-discriminant analysis. A dendrogram based on hierarchical clustering analysis of the FT-IR spectral data on ginseng leaves showed that leaf samples were initially segregated into three groups in a cultivation age-dependent manner. Then, within the same cultivation age group, leaf samples were clustered into four subgroups in a cultivar-dependent manner. The overall prediction accuracy for discrimination of cultivars and cultivation ages was 94.8% in a cross-validation test. These results clearly show that the FT-IR spectra combined with multivariate analysis from ginseng leaves can be applied as an alternative tool for discriminating of ginseng cultivars and cultivation ages. Therefore, we suggest that this result could be used as a rapid and reliable F1 hybrid seed-screening tool for accelerating the conventional breeding of ginseng.

• Journal of Ginseng Research
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• v.40 no.4
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• pp.344-350
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• 2016

Background: Mountain-cultivated ginseng (MCG) and cultivated ginseng (CG) both belong to Panax ginseng and have similar ingredients. However, their pharmacological activities are different due to their significantly different growth environments. Methods: An ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS)-based approach was developed to distinguish MCG and CG. Multivariate statistical methods, such as principal component analysis and supervised orthogonal partial-least-squares discrimination analysis were used to select the influential components. Results: Under optimized UPLC-QTOF-MS/MS conditions, 40 ginsenosides in both MCG and CG were unambiguously identified and tentatively assigned. The results showed that the characteristic components of CG and MCG included ginsenoside Ra3/isomer, gypenoside XVII, quinquenoside R1, ginsenoside Ra7, notoginsenoside Fe, ginsenoside Ra2, ginsenoside Rs6/Rs7, malonyl ginsenoside Rc, malonyl ginsenoside Rb1, malonyl ginsenoside Rb2, palmitoleic acid, and ethyl linoleate. The malony ginsenosides are abundant in CG, but higher levels of the minor ginsenosides were detected in MCG. Conclusion: This is the first time that the differences between CG and MCG have been observed systematically at the chemical level. Our results suggested that using the identified characteristic components as chemical markers to identify different ginseng products is effective and viable.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.684-714
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• 2018

Contrary to predictions, the market diffusion of smartwatch is proceeding slowly. Smartwatch companies should pursue new strategies to overcome this so-called chasm; however, little is known about smartwatch attributes valuable for target consumers. This study investigates beneficial and sacrificial features influencing overall perceived value of smartwatch, which in turn affects usage intention, and considers moderating effect of personal innovativeness. A total of 323 usable data were analysed using partial least squares. The results show that two benefits (utilitarian and hedonic) and three sacrifices (usability, performance, and finance) significantly impact on usage intention via perceived value. A significant effect of personal innovativeness as a moderator is also observed. Interestingly, the influence of social benefits on perceived value is not supported, which means strengthening image improvement strategies might not be appropriate for the diffusion. In order to overcome the chasm, suitable strategies should be used, and focusing on consumers who are highly innovative are strongly recommended.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.433-443
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• 2015

This study aims to analyze key antecedents of customer loyalty based on dedication-based and constraint-based mechanisms. Our framework provides a theoretical lens of how two distinctive mechanisms influence customer loyalty in a coffee chain context. In this regard, this study examines the effects of customer satisfaction and switching costs on customer loyalty in a coffee shop market. In order to test the proposed model, data collected from 263 university students were empirically tested by using partial least squares regression. The analysis results reveal that customer loyalty is jointly influenced by both a dedication-based and a constraint-based mechanisms. Coffee quality service quality, price and value, and service atmosphere significantly affect user satisfaction. Habit and brand image were found to be the key factors of forming perceived switching costs.

• Journal of Ginseng Research
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• v.38 no.3
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• pp.187-193
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• 2014

Background: White ginseng (Panax ginseng Meyer) is commonly distributed as a health food in food markets. However, there is no practical method for distinguishing Korean white ginseng (KWG) from Chinese white ginseng (CWG), except for relying on the traceability system in the market. Methods: Ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry combined with orthogonal partial least squares discrimination analysis (OPLS-DA) was employed to discriminate between KWG and CWG. Results: The origins of white ginsengs in two test sets ($1.0{\mu}L$ and $0.2{\mu}L$ injections) could be successfully discriminated by the OPLS-DA analysis. From OPLS-DA S-plots, KWG exhibited tentative markers derived from ginsenoside Rf and notoginsenoside R3 isomer, whereas CWG exhibited tentative markers derived from ginsenoside Ro and chikusetsusaponin Iva. Conclusion: Results suggest that ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry coupled with OPLS-DA is an efficient tool for identifying the difference between the geographical origins of white ginsengs.

• Journal of Ginseng Research
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• v.37 no.2
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• pp.248-253
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• 2013

Leaves from Panax ginseng Meyer (Korean origin and Chinese origin of Korean ginseng) and P. quinquefolius (American ginseng) were harvested in Haenam province, Korea, and were analyzed to investigate patterns in major metabolites using HPLC-based metabolic profiling. Partial least squares discriminant analysis (PLS-DA) was used to analyze the the HPLC chromatogram data. There was a clear separation between Panax species and/or origins from different countries in the PLS-DA score plots. The ginsenoside compounds of Rg1, Re, Rg2, Rb2, Rb3, and Rd in Korean leaves were higher than in Chinese and American ginseng leaves, and the Rb1 level in P. quinquefolius leaves was higher than in P. ginseng (Korean origin or Chinese origin). HPLC chromatogram data coupled with multivariate statistical analysis can be used to profile the metabolite content and undertake quality control of Panax products.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.111-121
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• 2016

This study provides an approach to perform the double mediation analysis in structural equation models using the R. For this purpose, the study reviews a variety of techniques for mediation analysis, selects the bootstrapping technique as the most suitable way for performing the double mediation analysis and develops an approach for the double mediation analysis in structural equating models with the bootstrapping using the plspm which is the R package for the performing PLS path analysis. This study will be useful for the studies including the double mediation analysis in structural equation modeling, which is not supported by most of SEM packages, also will provide the knowledge base for in-depth analysis through suggesting the new mediation analysis technique using R for the researchers.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.187-194
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• 2017

As the environmental pollution and the global warming have become more and more serious, the green management has been growing more and more critical to small and medium enterprises. In order to explore factors positively influencing small and medium enterprises' green management performance, this study presents the two major implications through the ordinary least squares regression based on the 2,200 data from the small and medium enterprises in the Republic of Korea. First, small and medium enterprises' external technology R&D information network diversity positively influences their green management performance from technology R&D. Second, small and medium enterprises' production process improvement is a partial mediator between their external technology R&D information network diversity and green management performance from technology R&D.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.136-138
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• 2015

Recently, with the rapid expansion of the mobile phone, such as the high price of the smartphone is being constantly handset subsidies at issue in the social harm caused by excessive competition in the mobile communications market. In this research, we aim to analyze factors influencing of the policy to subsidy regulatory on decision to continue purchasing intention of consumers. Predictor factors were selected the perceived usefulness, the perceived ease of use and the policy to subsidy regulatory on the previous study. Participants of this study be going to 200 mobile users in Busan Gyeongnam and Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS(partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables and effect. This study suggests practical and theoretical implications based on the results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.123-124
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• 2015

Recently, with the economy and the information communication technology developed, the smartphone market grows continuously. The market outlook on the wireless rechargeable technology grows rapidly so that the market size is increased about six times bigger than that of the last year, and it will grow about 18 billion dollars in 2014. Because of that, as the interest on this area out focused, many kinds of technology and new product are being exploited in this field. In this research, we aim to analyze factors influencing of the wireless battery charger on continue using intention of Smartphone. Predictor factors were selected perceived usefulness, perceived ease of use and perceived design suggested based extended the technology acceptance model. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS(partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables and effect. This study suggests practical and theoretical implications based on the results.