• 제목/요약/키워드: Partial least square analysis

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Analysis of Online Reviews on Hotel Booking Intention: An Empirical Study in Indonesia

  • Hendro, WIDJANARKO;Farhvisa Muzakka, ABDILLAH;Dyah, SUGANDINI
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.83-90
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    • 2023
  • This study aims to determine the direct effect of positive online reviews, negative online reviews, the usefulness of online reviews, reviewers' expertise, timeliness of online reviews, the volume of online reviews, and comprehensiveness of online reviews on accommodation booking intentions and also the indirect effect of positive online reviews on the intention of booking accommodations through trust as mediation. Research respondents are users of the accommodation booking application in Yogyakarta. Hypothesis testing was carried out using SEM (Partial Least Square). Data was collected by distributing questionnaires to 135 respondents. The results of this study indicate that the Usefulness of Online Reviews, Volume of Online Reviews, and Comprehensiveness of Online Reviews have a direct positive and significant influence on the accommodation booking Intention of booking application users in Yogyakarta. The variables of Negative Online Reviews and Timeliness of Online Reviews have negative and significant influences on the accommodation booking Intention of booking application users in Yogyakarta. Positive Online Reviews and Reviewer Expertise variables are not significant in this study. At the same time, the Trust variable has a full mediation relationship in an indirect relationship between the Positive Online Reviews variables and the accommodation booking Intention of booking application users in Yogyakarta.

The Effect of Entrepreneurial Orientation on Digital Marketing Performance: A Case Study of Small Enterprises in Kendari City, Indonesia

  • HAKIM, Abdul;MADJID, Rahmat;SUKOTJO, Endro;YUSUF, Yusuf
    • The Journal of Asian Finance, Economics and Business
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    • 제9권3호
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    • pp.295-302
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    • 2022
  • This research aims to determine and analyze: (a) the effects of digital marketing activity (DMAc), digital marketing capability (DMC), and Digital marketing asset (DMA), (b) the effects of DMAc, DMC, and DMA on marketing performance (MP), (c). the effects of entrepreneurial orientation (OE) on MP and (d). the mediating role of OA on the effects of DMAc, DMC, and DMA on OE. The research population is all the small enterprise actors in Kendari city applying digital marketing and having a permanent establishment in Kendari City. The analysis tool used is SEM Partial Least Square. Results of the research show that: (a). DMC and DMA have positive and significant effects on OE while DMAc is found to be insignificant on OE, (b). then, DMAc and DMA have positive and significant effects on MP, and DMC is found to be insignificantly increasing MP, (c). OE has positive and significant effects on MP and (d). DMC effects on MP and effects between DMA and MP are mediated by OE, whereas DMA effects on MP are not mediated by OE position. Based on research findings, DMC and DMA are superior at forming research opinions since they have a substantial influence on enhancing collaboration.

How Do Green Investment, Corporate Social Responsibility Disclosure, and Social Collaborative Initiatives Drive Firm's Distribution Performance?

  • PAMBUDI, Widiatmaka. F;DIAN, Wahdiana;Suherman, Suherman;LEONARDUS, Samodro Bintang A.M;Sukrisno, Sukrisno
    • 유통과학연구
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    • 제20권4호
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    • pp.51-63
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    • 2022
  • Purposes: The purpose of this study is to develop and test a possible model that investigates the relationships between green investment, CSR disclosure, social collaboration initiatives, and firm distribution performance to deal with environmental change because it's become the major stakeholder since it affects increasingly global company performance index. Research methodology: In this study a quantitative method was adopted. The 220 respondents were owners and managers of manufacturing enterprises from Indonesia. The structural equation model (SEM) was used to test the hypotheses, and the Partial Least Square (SmartPLS) was used as the data analysis tool. Findings: The study's finding shows that green investment has a significant effect on CSR disclosure, and CSR disclosure has a positive relationship with social collaborative initiatives and the firm's distribution performance. Similarly, social collaborative initiatives also significantly impact a firm's distribution performance. Limitations: This study uses variables that are still abstract and have not been able to regress the dimensions contained there into conclusion variables for each antecedent variable. In addition, this study only used a sample with a small scope, namely Central Java Province, Indonesia. Contribution: The findings of this study contribute to the body of literature in the field of organizational management and support the agency and stakeholder theories. For the practical contribution, this study provides the way to build and implement green-based investment strategies as a competitive edge and improve firm's distribution performance.

초분광영상과 머신러닝을 이용한 백제보 상류구간 조류 공간분포 특성분석 (Analysis of algal spatial distribution characteristics using hyperspectral images and machine learning in upstream reach of Baekje weir)

  • 장원진;김진욱;정지훈;박용은;김성준
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.89-89
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    • 2021
  • 부영양화된 호수나 유속이 느린 하천에서 발생하는 녹조의 과도한 발생은 하천 생태계 훼손, 동식물의 건강, 담수의 오염 등 환경 사회 경제적으로 큰 피해를 준다. 현재 수질 측정망은 정해진 지점에서 Chlorophyll-a(Chl-a), Phycocyanin(PC)을 대표농도로 산정하고 조류경보에 활용하고 있으나, 일주일에 한번씩 샘플링을 통해 Chl-a 및 PC를 측정하여 시공간적인 신뢰성의 문제가 제기될 수 있다. 본 연구에서는 기존 점단위 조류 모니터링의 한계점을 개선하기 위해 초분광영상 자료를 머신러닝 기법에 적용하여 Chl-a 및 PC 산정 알고리즘을 개발하였다. 이를 위해 Chl-a와 PC의 최대 흡수, 반사 파장대, 주요 물 흡수 파장대 자료를 조합하여 9개의 파장비를 구축하였으며, 기존 연구에서 활용한 머신러닝 기법인 Partial Least Square, Random Forest, Gradient Boosting, Support Vector Machine, K-Nearest Neighbor, Artificial Neural Network를 검토하여 최적 모델을 선정하였다. 학습된 머신러닝의 성능을 R2, NSE, RMSE 목적함수를 이용해 평가하였으며, 그 결과 ANN이 각각 PC 0.801, 0.755, 11.774 mg/m3, Chl-a 0.733, 0.622, 8.736 mg/m3로 가장 우수한 성능을 보였다. 최적화 된 ANN 모델을 백제보 상류 2016-2017년 항공 초분광영상에 적용하여 시공간에 따른 조류 분포변화를 평가하고자 한다.

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The Impact of Language on Customer Intentions to Use Localized E-Commerce Websites in Arabic Countries: The Mediating Role of Perceived Risk and Trust

  • HERZALLAH, Fadi;AYYASH, Mohannad Moufeed;AHMAD, Kamsuriah
    • The Journal of Asian Finance, Economics and Business
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    • 제9권1호
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    • pp.273-290
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    • 2022
  • Localization of e-commerce websites is a useful tool for providing the world with business organizations and money-making enterprises. However, studies on e-Commerce website localization within the language domain are still quite limited. Thus, the study aims to investigate the relationship between the Arabic language and a wide range of e-Commerce website intentions, clarifying the indirect effects of the Arabic language on intentions to use e-Commerce websites using perceived risk and trust as mediating variables, and determining whether trust and perceived risk work as mediating variables between the Arabic language and e-Commerce website intentions. Survey data collated from participants totaling up to 264 has been used to test the research framework. The selection of these participants is based on their experiences employing e-Commerce websites. Structural equation modeling (SEM) through partial least square (PLS) software was used for the data analysis. The results show that the Arabic language, trust, and perceived risk play effective roles for e-Commerce websites adoption. More importantly, trust and perceived risk positively mediate the relationship between the Arabic language and intentions to use e-Commerce websites. Implications of the study's findings and suggestions for further research are discussed.

소셜 미디어 과부하가 사용자의 비의도적 회피 행동에 미치는 영향 (The Impact of Social Media Overload on Users' Unintentional Avoidance Behavior)

  • 차오신;오세환
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.165-181
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    • 2023
  • Purpose Digital platforms, together with the innovative technologies of modern society, are accelerating the digital innovation of the entire economy and society. Although social media platforms are gradually integrated into daily life, due to social media overload, users limit their use of the platform for a certain period of time or eventually choose to stop using it. In the context of social media platform, the purpose of this paper is to study the effects of information overload, social overload and system function overload on users' unintentional avoidance behavior, mediated by fatique and dissatisfaction. Design/methodology/approach This study empirically examines the influence of social media overload characteristics on users' unintentional avoidance behavior of platform utilization using the S-O-R framework. Data from 236 Chinese social media users were collected through a questionnaire survey, and the hypotheses were validated by evaluating the research model using the SmartPLS 4.0 program using Partial Least Square (PLS) method. Findings According to the empirical analysis result, based on the S-O-R model, first, it is confirmed that information overload and system feature overload have significant positive(+) effects on fatigue. Second, this study finds that information overload, social overload and fatigue have significant positive(+) effects on dissatisfaction. Thirdly, fatigue and dissatisfaction have significant positive(+) effects on unintentional avoidance. In addition, social overload has no significant effect on fatigue, while system feature overload has no significant effect on dissatisfaction.

국내콩 4품종의 LC-MS 기반 비표적대사체 비교평가 (Comparative untargeted metabolomic analysis of Korean soybean four varieties (Glycine max (L.) Merr.) based on liquid chromatography mass spectrometry)

  • 김은하;박수윤;이상구;박현민;유오숙;강윤녕;김명지;정정원;오선우
    • Journal of Applied Biological Chemistry
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    • 제65권4호
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    • pp.439-446
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    • 2022
  • 콩은 양질의 단백질과 지방산이 풍부하며, 세계적으로 가장 많이 사용되는 형질전환작물(GM) 중 하나이다. 국내에서 GM콩은 주로 광안을 모본으로 하여 개발되고 있는 상황이다. 본 연구에서는 비표적 LC-MS 기반 대사체 분석기술을 이용하여 2020년도에 군위와 전주에서 재배한 광안과 세 일반콩의 대사체 프로파일을 비교분석 하였다. Partial least square-discriminant analysis (PLS-DA) 분석을 통하여 대사체 프로파일들은 품종별로 잘 분리되었으며, 페닐알라닌과 이소플라본, 지방산을 포함하여 18종 물질이 관여하는 것으로 확인하였다. PLS-DA 스코어 플롯에서 콩 4품종은 지역별로 클러스터를 형성하였으며, 이는 재배환경이 대사물질의 변화에 영향을 준 것으로 판단된다. 광안은 다른 품종들에 비하여 이소플라본 함량이 가장 낮았으며, 리놀렌산 함량은 가장 높았다. 광안을 이용하여 개발된 생명공학콩의 실질적동등성 평가의 경우 광안의 대사체 프로파일 특성을 고려한 비교품종 선정 등에 관하여 고찰하였다.

적외선 분광스펙트럼 및 기체크로마토그라피 분석 데이터의 다변량 통계분석을 이용한 대두 종자 지방산 함량예측 (Simultaneous estimation of fatty acids contents from soybean seeds using fourier transform infrared spectroscopy and gas chromatography by multivariate analysis)

  • 안명숙;지은이;송승엽;안준우;정원중;민성란;김석원
    • Journal of Plant Biotechnology
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    • 제42권1호
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    • pp.60-70
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    • 2015
  • 본 연구의 목적은 적외선 분광스펙트럼 데이터를 이용하여 대두 종자내의 지방산 함량을 동시에 예측할 수 있는지 여부를 조사하기 위한 것이다. 총 153종의 대두(Glycine max Merrill) 종자로부터 적외선 분광스펙트럼 및 지방산의 함량을 기체크로마토그라피 분석을 통하여 확인하였다. 적외선 분광스펙트럼 조사결과 대두는 단백질이나 아미노산의 amide bond region ($1,700{\sim}1,500cm^{-1}$), 핵산이나 인지질의 phosphodiester groups ($1,500{\sim}1,300cm^{-1}$) 그리고 탄수화물 등 다당류의 sugar region ($1,200{\sim}1,000cm^{-1}$)에서 계통별로 큰 차이가 이루어짐을 알 수 있었다. 총 29라인의 대두 계통별 시료로부터 지방산 함량을 조사한 결과 총 지방산의 함량은 건조 시료 0.1 g 당 $185.57{\mu}g$에서 $325.9{\mu}g$으로 계통간에 차이가 있었음을 알 수 있었으며 평균 함량은 $244.48{\mu}g$이었다. PLS regression 분석을 이용하여 총 5개 지방산(팔미틱산, 스테아릭산, 올레익산, 리노레익산 그리고 리노레닉산) 함량 예측 calibration models의 실측 검증 결과, 팔미틱산($R^2=0.8002$), 올레익산($R^2=0.8909$) 그리고 리노레익산($R^2=0.815$)은 회귀분석 상관계수가 0.8 이상으로 정확도 높음을 알 수 있었다. 그러나 스테아릭산($R^2=0.4598$)과 리노레닉산($R^2=0.6868$)의 경우 상관계수가 0.7 이하로 상대적으로 예측정확도가 낮음을 알 수 있었다. 본 연구에서 확립된 기술은 지방산의 조성 변환을 통하여 새로운 대두 품종 개발을 위한 계통선발 과정에서 매우 효율적인 수단으로 활용이 가능할 것으로 사료된다. 더 나아가 본 기술은 대두는 물론 대두 유래 농산물이나 식품의 품질 검증 수단으로 활용이 가능할 것으로 기대된다.

유통제조 기업의 해외 자회사 지식이전에서 기술특유성의 조절효과 (The Moderating Effects of Specificity of Technology in the Knowledge Transfer of Distributive Manufacturing MNEs)

  • 조연성
    • 유통과학연구
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    • 제14권9호
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    • pp.121-132
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    • 2016
  • Purpose - This study has the following objectives. First, it seeks to build an integrated model that can analyze the path through which headquarters, subsidiary competence, and knowledge transfer performance influence subsidiary performance. Second, it analyzes the influence of the specificity of technology as a moderating effect factor on knowledge transfer process. Third, it will conduct an empirical analysis on distributive manufacturing MNEs and suggests an implication for companies that actually need technological localization. The difference of this study are as follows. First, unlike the existing studies, this study can expand a theoretical discussion as it uses subsidiary performance as the dependent variable. Second, it sets the specificity of technology as a moderating effect factor, not an antecedent, and can draw a theoretical implication. Research design, data, and methodology - This study built a path analysis model to identify the influence of the disseminative capacity and absorptive capacity of distributive manufacturing MNEs on subsidiary performance. Based on the previous studies, it set 19 items as 5 latent variables, and established 6 hypotheses by including the moderating effect of the specificity of technology between them. The final 203 companies were selected as analysis samples through a survey questionnaire. For empirical analysis, the study used PLS (Partial Least Square) that is based on structural equation model. Results - The empirical analysis result demonstrated that both headquarters' disseminative capability and subsidiaries absorptive capacity had a positive influence on knowledge transfer performance. Knowledge transfer performance also had a positive influence on subsidiary performance. In the analysis of moderating effect, the specificity of technology acted as a significant moderating variable only between knowledge transfer performance and subsidiary performance; it did not show a statistically significant moderating effect among disseminative capability, absorptive capacity, and knowledge transfer performance. Conclusions - The empirical analysis results of this study demonstrate the importance of disseminative capability and absorptive capacity in knowledge transfer to subsidiaries from the distributive manufacturing MNEs in Korea. The analysis on the moderating effect indicates that the specificity of technology in Korean companies influences on the process of making achievement by using the transferred knowledge.

Understanding the Drivers of Liking for Makgeolli, a Traditional Korean Fermented Alcoholic

  • Kim, Hye-Seon;Cho, Jae-Hwang;Kim, Seon-Young;Kim, Hye-Eun;Lee, A-Hyun;Chun, Jee-Hwa;Chung, Seo-Jin
    • Food Quality and Culture
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    • 제3권2호
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    • pp.64-68
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    • 2009
  • This descriptive analysis study investigated the sensory characteristics and the drivers of liking for seven types of makgeolli differing in grain composition and pasteurization conditions. Six trained panelists participated in the descriptive analysis. In the consumer acceptance test involving 23 males and 34 females, two of the seven varieties were excluded due to their similar sensory characteristics. Analysis of variance, principal component analysis, and partial least square regression analysis were conducted. Sensory characteristics of makgeolli varied markedly depending on the ingredients and processing methods. Makgeolli samples with relatively high content of millet flour were characterized as being smooth and strong, with a roasted carbohydrate flavor, whereas samples with enriched rice content were rated high in attributes such as bitterness, carbonation, and residual flavor. Sourness decreased in pasteurized samples. Participant's age rather than gender influence the liking for makgeolli. Older consumers tend to prefer samples with stronger flavor than did younger consumers. Clustering consumer groups based on the preference for makgeolli samples provided profound insight concerning the beverage aspects that were appealing, which should be useful in consumer targeting of particular varieties of makgeolli.