• Title/Summary/Keyword: Partial least squares

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The Effect of Corporate Entrepreneurship on Organizational Effectiveness of Medical Institutions : Mediating Effect of Motivation to Participate in The In-house Innovation & Start-up Contest and Moderating Effect of Support from a Dedicated Organization (사내기업가정신이 의료기관의 조직유효성에 미치는 영향 : 사내 혁신·창업 공모전 참여동기의 매개효과와 전담조직 지원의 조절효과)

  • Jae-Hoon Han;Byung-Jin Park
    • Korea Journal of Hospital Management
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    • v.28 no.3
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    • pp.68-86
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    • 2023
  • Purpose: The purpose of this study is to explore the relationship between corporate entrepreneurship and organizational effectiveness among employees of medical institutions. In addition, we aim to investigate the mediating effect of motivation to participate in the In-house Innovation & Start-up Contest and the moderating effect of support from a dedicated organization. Methodology/Approach: A survey was conducted on participants in the 3rd in-house contest held in 2023 at Granum Sinapis Center of Seoul St. Mary's Hospital. A total of 122 people responded to the survey. The collected data were analyzed PLS-SEM(Partial Least Squares-Structural Equation Model) using SmartPLS 4.0 program. Findings: First, 'Corporate entrepreneurship' had an effect on 'Participation motivation in in-house contest'. Second, 'Corporate entrepreneurship' had an effect on 'Organizational Effectiveness'. Third, 'Participation motivation in in-house contest' mediated the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. And last, 'Support from a dedicated organization' had no moderating effect on the relationship between 'Corporate entrepreneurship' and 'Organizational Effectiveness'. Practical Implications: Since the dedicated organization is in the early stages of operation, there may be no moderating effect on organizational effectiveness. If follow-up research is conducted after the dedicated organization's system has been supplemented, the moderating effect may appear differently.

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Proximate Content Monitoring of Black Soldier Fly Larval (Hermetia illucens) Dry Matter for Feed Material using Short-Wave Infrared Hyperspectral Imaging

  • Juntae Kim;Hary Kurniawan;Mohammad Akbar Faqeerzada;Geonwoo Kim;Hoonsoo Lee;Moon Sung Kim;Insuck Baek;Byoung-Kwan Cho
    • Food Science of Animal Resources
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    • v.43 no.6
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    • pp.1150-1169
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    • 2023
  • Edible insects are gaining popularity as a potential future food source because of their high protein content and efficient use of space. Black soldier fly larvae (BSFL) are noteworthy because they can be used as feed for various animals including reptiles, dogs, fish, chickens, and pigs. However, if the edible insect industry is to advance, we should use automation to reduce labor and increase production. Consequently, there is a growing demand for sensing technologies that can automate the evaluation of insect quality. This study used short-wave infrared (SWIR) hyperspectral imaging to predict the proximate composition of dried BSFL, including moisture, crude protein, crude fat, crude fiber, and crude ash content. The larvae were dried at various temperatures and times, and images were captured using an SWIR camera. A partial least-squares regression (PLSR) model was developed to predict the proximate content. The SWIR-based hyperspectral camera accurately predicted the proximate composition of BSFL from the best preprocessing model; moisture, crude protein, crude fat, crude fiber, and crude ash content were predicted with high accuracy, with R2 values of 0.89 or more, and root mean square error of prediction values were within 2%. Among preprocessing methods, mean normalization and max normalization methods were effective in proximate prediction models. Therefore, SWIR-based hyperspectral cameras can be used to create automated quality management systems for BSFL.

A Case Study of Decision-Making Towards Using Online Food Distribution Services After Covid-19 In Vietnam

  • Thuc Duc TRAN;Thong Van PHAM;Phu Cam Thi NGUYEN;Loc Tan LOUIS;Ngoc Nhu Thi LE
    • Journal of Distribution Science
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    • v.22 no.3
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    • pp.33-47
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    • 2024
  • Purpose: Most emerging-market countries are concerned about the technology boom, which is accompanied by an increase in revenue from online sales and services. This finding has been demonstrated during the COVID-19 pandemic; however, is this tendency continuing in the new normal, and what factors are driving the increase in consumer decisions? The purpose of this research is to investigate how the decision to utilize online services will be affected in the new normal as well as propose a new research approach in this field. Research Design, Methodology and Approach: By following a deductive research method associated with positivist philosophy, a survey in South Vietnam with 426 respondents using a convenience sampling method was conducted. The reliability of the measurement scales was examined by using the SPSS program. The SmartPLS programme was utilised to assess the measurement and structural models as well as test hypotheses by using partial least squares structural equation modelling. Results: According to the research findings, decision-making has been impacted by social influences, perceived usefulness, perceived ease of use, perceived trust, perceived price, and perceived convenience. Conclusions: The research results also bring significant contributions not only in practice in providing management implications but also in theory. The research model has also demonstrated the feasibility of employing the stimuli-organism-response framework and combining the theory of perceived risk with the technology acceptance model via the explanation of decision-making.

A comparison of ATR-FTIR and Raman spectroscopy for the non-destructive examination of terpenoids in medicinal plants essential oils

  • Rahul Joshi;Sushma Kholiya;Himanshu Pandey;Ritu Joshi;Omia Emmanuel;Ameeta Tewari;Taehyun Kim;Byoung-Kwan Cho
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.675-696
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    • 2023
  • Terpenoids, also referred to as terpenes, are a large family of naturally occurring chemical compounds present in the essential oils extracted from medicinal plants. In this study, a nondestructive methodology was created by combining ATR-FT-IR (attenuated total reflectance-Fourier transform infrared), and Raman spectroscopy for the terpenoids assessment in medicinal plants essential oils from ten different geographical locations. Partial least squares regression (PLSR) and support vector regression (SVR) were used as machine learning methodologies. However, a deep learning based model called as one-dimensional convolutional neural network (1D CNN) were also developed for models comparison. With a correlation coefficient (R2) of 0.999 and a lowest RMSEP (root mean squared error of prediction) of 0.006% for the prediction datasets, the SVR model created for FT-IR spectral data outperformed both the PLSR and 1 D CNN models. On the other hand, for the classification of essential oils derived from plants collected from various geographical regions, the created SVM (support vector machine) classification model for Raman spectroscopic data obtained an overall classification accuracy of 0.997% which was superior than the FT-IR (0.986%) data. Based on the results we propose that FT-IR spectroscopy, when coupled with the SVR model, has a significant potential for the non-destructive identification of terpenoids in essential oils compared with destructive chemical analysis methods.

Effect of Military Officer's Ethical Disposition and Perceived Work Environment on Organizational Security Policy Compliance (군장교의 윤리적 성향과 업무환경 지각이 조직의 보안정책준수에 미치는 영향)

  • Bora Kim;Kisoo Seong;Beomsoo Kim
    • Information Systems Review
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    • v.22 no.3
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    • pp.31-58
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    • 2020
  • Based on the social control theory, this study intends to find out the influential factors of organizational members' information security policy compliance (ISPC). Survey data from 195 military officers were analyzed to examine the effect of ethical disposition (morality, responsibility, the perceived value of ethical education) and perceived work environment (relationships with supervisors, overwork, and pay satisfaction) on ISPC attitude, ISPC intention, and turnover intention. The results of partial least squares structural equation modeling (PLS-SEM) show that ethical dispositions affect ISPC attitude and that work environments (except for pay satisfaction) affect turnover intention. In addition, ISPC attitude significantly mediates relations between ethical disposition and ISPC intention, between relationships with supervisors and ISPC intention, and between turnover intention and ISPC intention. These findings suggest that ethical disposition factors can predict an individual's security awareness level, and the ISPC attitude is a significant variable in the organizational security context.

An Investigation of the Factors Affecting Satisfaction with Cell Broadcast Service(CBS) -Focusing on Users in Incheon- (긴급재난문자 만족도에 영향을 미치는 요인 규명 -인천광역시 서비스 대상자를 중심으로-)

  • Park, Keon-Oh;Park, Jae-Young
    • Journal of Environmental Science International
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    • v.33 no.3
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    • pp.193-203
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    • 2024
  • This study aims to determine the factors affecting the level of satisfaction with the Cell Broadcast Service (CBS) among citizens in Incheon. Partial least squares (PLS) regression, instead of multiple regression, was used for the analysis because it can solve multicollinearity and sample size issues. The analysis results are as follows: The factor with the greatest effect on satisfaction with CBS among Incheon citizens, was the elimination of redundancies (VIP=1.185). Therefore, local governments, government agencies, and public organizations must coordinate their ideas and collectively create guidelines to eliminate redundancies. The second most influential factor was the expansion in the broadcast medium from legal, institutional, and policy aspects (VIP=1.087). This is because differences in generation, age, gender, and personal characteristics were not considered. Therefore, it is necessary to devise a customized messaging tool through the expansion of broadcast media. The broadcast criteria of the legal, institutional, and policy perspectives comprised the third most influential factor, with a high VIP value of 1.053. Consequently, it is essential to devise a plan to avoid distributing unnecessary cell broadcast services, by establishing criteria for areas and sections, time, and the direct and indirect impact zones of a disaster. In the future, this study could be used as base data to develop policies, guidelines, and response measures for Incheon CBS. Given the lack of research on the diverse characteristics of each social class and the city traits of each region, and a lack of concrete empirical research on each factor, continuous and in-depth studies are required in the future.

Impacts of e-Grocery Consumers' Shadow Work on Mobile Shopping Avoidance and Switching Behavior (온라인 식료품 소비자의 그림자노동인식이 모바일 쇼핑회피와 전환행동에 미치는 영향)

  • Sang Cheol Park;Jong Uk Kim
    • Information Systems Review
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    • v.23 no.4
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    • pp.165-182
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    • 2021
  • In nowadays, Covid-19 has transformed patterns of consumers' behavior into a non-face-to-face mode. As the patterns of consumption have been digitalized, it has become a daily routine for consumers who perform so-called shadow work, which involves unpaid jobs that they have to do by themselves. In mobile grocery service context, consumers' shadow work could lead to shopping avoidance as well as switching toward other shopping channels. Thus, this study is to examine how consumers' perception of shadow work affect mobile shopping avoidance and switching intention toward other shopping channels. This study collected 283 survey data from online respondents who have experience on subscription services for ordering groceries in online. We also tested our research model by using partial least squares. Based on our results, this study has found that the perception of shadow work had a positive effect on mobile shopping avoidance as well as switching intention. We expect that our findings could contribute to relevant research on shadow work and suggest practical implications for digital platforms dealing with subscription business models

An Analysis of the Effect of Platform Information Quality and Customer Information Quality on Customer Loyalty to Online to Offline Platforms (O2O 플랫폼 충성도에 플랫폼 정보 품질과 고객 정보품질이 미치는 영향 분석)

  • Park, Jun Sung;Park, Heejun
    • Journal of Korean Society for Quality Management
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    • v.52 no.1
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    • pp.23-42
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    • 2024
  • Purpose: This study aims to investigate the impact of two types of information quality, which are platform-oriented information quality and customer-oriented information quality, on customers' decision-making processes in the Online to offline (O2O) platform environment. Grounded in the product brokering efficiency model, which encompasses screening cost, evaluation cost, and decision quality, a model framework was developed. Furthermore, this study explores how these decision-making processes affect customer loyalty. Methods: Given that food delivery apps are the most widely used O2O service in Korea, this study targeted users of these apps for data analysis. We conducted hypothesis testing through a purposive sampling methodology focusing on food delivery app users. A Partial Least Squares Structural Equation Modeling analysis was conducted to analyze the data. The data collection occurred via an online survey from October to December 2021, with a total of 212 respondents participating. Results: The results of this study revealed the significant role of information quality in helping customers' decision processes while using food delivery apps. Specifically, it was found that platform-oriented information positively influences decision quality, while customer-oriented information significantly affects both the reduction of evaluation cost and the enhancement of decision quality. Additionally, the study indicated that lower evaluation costs and higher decision quality lead to increased platform loyalty. However, a reduction in screening cost did not have a significant impact on platform loyalty. Conclusion: While previous studies have overlooked the existence of two sides, service provider and user, in a platform, this research holds significance in its analysis of how information quality impacts loyalty by utilizing the two kinds of information quality. Practitioners can enhance customer loyalty to the platform by enriching customer-oriented information, thereby reducing customers' evaluation costs and encouraging more loyal usage of the platform.

Discrimination of African Yams Containing High Functional Compounds Using FT-IR Fingerprinting Combined by Multivariate Analysis and Quantitative Prediction of Functional Compounds by PLS Regression Modeling (FT-IR 스펙트럼 데이터의 다변량 통계분석을 이용한 고기능성 아프리칸 얌 식별 및 기능성 성분 함량 예측 모델링)

  • Song, Seung Yeob;Jie, Eun Yee;Ahn, Myung Suk;Kim, Dong Jin;Kim, In Jung;Kim, Suk Weon
    • Horticultural Science & Technology
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    • v.32 no.1
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    • pp.105-114
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    • 2014
  • We established a high throughput screening system of African yam tuber lines which contain high contents of total carotenoids, flavonoids, and phenolic compounds using ultraviolet-visible (UV-VIS) spectroscopy and Fourier transform infrared (FT-IR) spectroscopy in combination with multivariate analysis. The total carotenoids contents from 62 African yam tubers varied from 0.01 to $0.91{\mu}g{\cdot}g^{-1}$ dry weight (wt). The total flavonoids and phenolic compounds also varied from 12.9 to $229{\mu}g{\cdot}g^{-1}$ and from 0.29 to $5.2mg{\cdot}g^{-1}$dry wt. FT-IR spectra confirmed typical spectral differences between the frequency regions of 1,700-1,500, 1,500-1,300 and $1,100-950cm^{-1}$, respectively. These spectral regions were reflecting the quantitative and qualitative variations of amide I, II from amino acids and proteins ($1,700-1,500cm^{-1}$), phosphodiester groups from nucleic acid and phospholipid ($1,500-1,300cm^{-1}$) and carbohydrate compounds ($1,100-950cm^{-1}$). Principal component analysis (PCA) and subsequent partial least square-discriminant analysis (PLS-DA) were able to discriminate the 62 African yam tuber lines into three separate clusters corresponding to their taxonomic relationship. The quantitative prediction modeling of total carotenoids, flavonoids, and phenolic compounds from African yam tuber lines were established using partial least square regression algorithm from FT-IR spectra. The regression coefficients ($R^2$) between predicted values and estimated values of total carotenoids, flavonoids and phenolic compounds were 0.83, 0.86, and 0.72, respectively. These results showed that quantitative predictions of total carotenoids, flavonoids, and phenolic compounds were possible from FT-IR spectra of African yam tuber lines with higher accuracy. Therefore we suggested that quantitative prediction system established in this study could be applied as a rapid selection tool for high yielding African yam lines.

Study of Prediction Model Improvement for Apple Soluble Solids Content Using a Ground-based Hyperspectral Scanner (지상용 초분광 스캐너를 활용한 사과의 당도예측 모델의 성능향상을 위한 연구)

  • Song, Ahram;Jeon, Woohyun;Kim, Yongil
    • Korean Journal of Remote Sensing
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    • v.33 no.5_1
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    • pp.559-570
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    • 2017
  • A partial least squares regression (PLSR) model was developed to map the internal soluble solids content (SSC) of apples using a ground-based hyperspectral scanner that could simultaneously acquire outdoor data and capture images of large quantities of apples. We evaluated the applicability of various preprocessing techniques to construct an optimal prediction model and calculated the optimal band through a variable importance in projection (VIP)score. From the 515 bands of hyperspectral images extracted at wavelengths of 360-1019 nm, 70 reflectance spectra of apples were extracted, and the SSC ($^{\circ}Brix$) was measured using a digital photometer. The optimal prediction model wasselected considering the root-mean-square error of cross-validation (RMSECV), root-mean-square error of prediction (RMSEP) and coefficient of determination of prediction $r_p^2$. As a result, multiplicative scatter correction (MSC)-based preprocessing methods were better than others. For example, when a combination of MSC and standard normal variate (SNV) was used, RMSECV and RMSEP were the lowest at 0.8551 and 0.8561 and $r_c^2$ and $r_p^2$ were the highest at 0.8533 and 0.6546; wavelength ranges of 360-380, 546-690, 760, 915, 931-939, 942, 953, 971, 978, 981, 988, and 992-1019 nm were most influential for SSC determination. The PLSR model with the spectral value of the corresponding region confirmed that the RMSEP decreased to 0.6841 and $r_p^2$ increased to 0.7795 as compared to the values of the entire wavelength band. In this study, we confirmed the feasibility of using a hyperspectral scanner image obtained from outdoors for the SSC measurement of apples. These results indicate that the application of field data and sensors could possibly expand in the future.