• Title/Summary/Keyword: MGA

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Determinants of Relationship Characteristics and Cooperation Performance in Industry-Public Research Institute Cooperation (기업과 출연(연)간 관계특성 및 협력성과 결정요인 분석)

  • Hwang, Kyung-Yun
    • Management & Information Systems Review
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    • v.38 no.2
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    • pp.119-137
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    • 2019
  • This paper analyzes the factors affecting the relationship characteristics of firms and public research institutes, in-addition to analyzing the effect of relationship characteristics with the industry-public research institute cooperation. We selected factors influencing relationship characteristics of firms and public research institutes based on the study of existing industry-university-institute cooperation. These factors include the willingness of the industry-public research institute cooperation, firm's R&D capabilities, and the firm's perceived public research institutes competence. The relationship between these factors, their relationship characteristics, and the performance of the industry-public research institute cooperation was studied using six hypotheses. In order to test this research model, we conducted a survey on industry-public research institute cooperation firms and received responses from 116 companies. Partial Least Square-Multi Group Analysis (PLS-MGA) was used to test the research model. The results of the empirical analysis show the following results. First, the willingness of the industry-public research institute cooperation, firm's R&D capabilities and firm's perceived public research institutes competence have a positive impact on the relationship characteristics of firms and public research institutes. Second, the relationship characteristics of firms and public research institutes have a positive impact on firm performance in the industry-public research institute cooperation. Third, firm's R&D capabilities and firm's perceived public research institutes competence directly affect firm performance in the industry-public research institute cooperation. These results provide policy and practical implications for enhancing firm performance of the industry-public research institute cooperation.

An Exploratory Study on the Trustworthiness Analysis of Generative AI (생성형 AI의 신뢰도에 대한 탐색적 연구)

  • Soyon Kim;Ji Yeon Cho;Bong Gyou Lee
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.79-90
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    • 2024
  • This study focused on user trust in ChatGPT, a generative AI technology, and explored the factors that affect usage status and intention to continue using, and whether the influence of trust varies depending on the purpose. For this purpose, the survey was conducted targeting people in their 20s and 30s who use ChatGPT the most. The statistical analysis deploying IBM SPSS 27 and SmartPLS 4.0. A structural equation model was formulated on the foundation of Bhattacherjee's Expectation-Confirmation Model (ECM), employing path analysis and Multi-Group Analysis (MGA) for hypothesis validation. The main findings are as follows: Firstly, ChatGPT is mainly used for specific needs or objectives rather than as a daily tool. The majority of users are cognizant of its hallucination effects; however, this did not hinder its use. Secondly, the hypothesis testing indicated that independent variables such as expectation- confirmation, perceived usefulness, and user satisfaction all exert a positive influence on the dependent variable, the intention for continuance intention. Thirdly, the influence of trust varied depending on the user's purpose in utilizing ChatGPT. trust was significant when ChatGPT is used for information retrieval but not for creative purposes. This study will be used to solve reliability problems in the process of introducing generative AI in society and companies in the future and to establish policies and derive improvement measures for successful employment.

Risk Assessment of Growth Hormones and Antimicrobial Residues in Meat

  • Jeong, Sang-Hee;Kang, Dae-Jin;Lim, Myung-Woon;Kang, Chang-Soo;Sung, Ha-Jung
    • Toxicological Research
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    • v.26 no.4
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    • pp.301-313
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    • 2010
  • Growth promoters including hormonal substances and antibiotics are used legally and illegally in food producing animals for the growth promotion of livestock animals. Hormonal substances still under debate in terms of their human health impacts are estradiol-$17\beta$, progesterone, testosterone, zeranol, trenbolone, and melengestrol acetate (MGA). Many of the risk assessment results of natural steroid hormones have presented negligible impacts when they are used under good veterinary practices. For synthetic hormonelike substances, ADIs and MRLs have been established for food safety along with the approval of animal treatment. Small amounts of antibiotics added to feedstuff present growth promotion effects via the prevention of infectious diseases at doses lower than therapeutic dose. The induction of antimicrobial resistant bacteria and the disruption of normal human intestinal flora are major concerns in terms of human health impact. Regulatory guidance such as ADIs and MRLs fully reflect the impact on human gastrointestinal microflora. However, before deciding on any risk management options, risk assessments of antimicrobial resistance require large-scale evidence regarding the relationship between antimicrobial use in food-producing animals and the occurrence of antimicrobial resistance in human pathogens. In this article, the risk profiles of hormonal and antibacterial growth promoters are provided based on recent toxicity and human exposure information, and recommendations for risk management to prevent human health impacts by the use of growth promoters are also presented.

Sweet Spot Search of Array Antenna Beam (Array 안테나 빔의 스위트 스폿 탐색)

  • Eom, Ki-Hwan;Kang, Seong-Ho;Lee, Chang-Young;NamKung, Wook;Hyun, Kyo-Hwan
    • 한국정보통신설비학회:학술대회논문집
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    • 2005.08a
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    • pp.115-119
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    • 2005
  • In this paper, we propose a method that search the sweet spot of array antenna beam, and keep it for fast speed transmission in millimeter wave on single array antenna link. We use TDD(Time Division Duplex) as transfer method, and it transfers the control data of antenna. The proposed method is the modified genetic algorithm which selects a superior initial group through slave-processing in order to resolve the local solution of genetic algorithm. The efficiency of the proposed method is verified by means of simulations with white Gaussian noise and not on single array antenna link.

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The Effect of Oligosaccharides on Ethylene Production in Mung Bean (Vigna radiata W.) Hypocotyl Segments

  • Choy, Yoon-Hi;Lee, Dong-Hee;Lee, June-Seung
    • Journal of Plant Biology
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    • v.39 no.4
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    • pp.295-300
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    • 1996
  • The physiological effects of oligogalacturonic acid (OGA:D. P. 6-7), a product of acid hydrolysis of polygalacturonic acid (PGA), on ethylene biosynthesis in mung bean (Vigna radiata W.) hypocotyl segments was studied. Among PGA, OGA and monogalacturomic acid (MGA), only OGA stimulated ethylene production in mung bean hypocotyl segments, and the most effective concentraton of OGA was 50$\mu\textrm{g}$/mL. Time course data indicated that this stimulatiion effect of OGA appeared after 90 min incubation period and continued until 24 h. When indol-3-acetic acid (IAA) and 1-aminocyclopropane-1-carboxylic acid (ACC) were treated with OGA to investigate the mechanism of OGA on ethylene production, they did not show synergistic effects on ethylene production. The stimulation of ethylene production by OGA was due to the increase of in vivo ACC synthase activity, but OGA treatment had no effect of in vivo ACC oxidase activity. The effect of aminoethoxy vinyl glycine (AVG) and Co2+, the inhibitor of ethylene synthesis, was siminished a little by the OGA, but the treatment of Ca2+, known to increase ACC, with OGA did not increase the ethylene production, this effect seems to be specific for Ca2+ because other divalent cation, Mg2+, did not show the inhibition of OGA-indyuced ethylene production. It is possible that the OGA adopts a different signal transduction pathway to the ethylene bioxynthesis.

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Research on Consumer Responses to Similar Social Value Seeking Activities Conducted by Fashion Social Enterprises and Cause-Related Marketing (패션 사회적기업과 공익연계마케팅의 유사한 사회적가치 추구 활동에 대한 소비자 반응 연구)

  • Seo, Min Jeong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.4
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    • pp.506-520
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    • 2019
  • This study first investigates relationships among fashion consumer's positive emotion toward social value seeking activities (SVSA), enterprise image (EI), enterprise-perceived quality (EPQ), and purchase intention. Additionally, it demonstrates if the confirmed relationships are different in similar SVSA between social enterprise and cause-related marketing (CRM). An online experiment using a 2 (the implementation organization of social values: social enterprise vs CRM) ${\times}2$ (SVSA: support of vulnerable group vs environmental protection) factorial design was conducted to test the established hypotheses. Participants were randomly assigned to one of four conditions, and the collected data were analyzed using a partial least squares structure equation modeling (PLS-SEM) and partial least squares multi-group analysis (PLS-MGA). The results revealed that positive emotion toward SVSA directly influenced EI and purchase intention. EI and EPQ were identified as sequential mediators linking positive emotion toward SVSA and purchase intention. A finding for similarity in consumer response paths between social enterprises and CRM highlights that social enterprises need to develop a marketing strategy distinguished from CRM.

Development of Customer Satisfaction Index (CSI) Model for Pakistan

  • HAMAYUN, Khadija;HAFEEZ, Shakir
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.153-171
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    • 2022
  • To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

Seismic performance evaluation of steel moment resisting frames with mid-span rigid rocking cores

  • Ali Akbari;Ali Massumi;Mark Grigorian
    • Steel and Composite Structures
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    • v.46 no.5
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    • pp.621-635
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    • 2023
  • The combination of replaceable and repairable properties in structures has introduced new approach called "Low Damage Design Structures". These structural systems are designed in such a way that through self-centering, primary members and specific connections neither suffer damage nor experience permanent deformations after being exposed to severe earthquakes. The purpose of this study is the seismic assessment of steel moment resisting frames with the aid of rigid rocking cores. To this end, three steel moment resisting frames of 4-, 8-, and 12-story buildings with and without rocking cores were developed. The nonlinear static analysis and incremental dynamic analysis were performed by considering the effects of the vertical and horizontal components of 16 strong ground motions, including far-fault and near-fault arrays. The results reveal that rocking systems benefit from better seismic performance and energy dissipation compared to moment resisting frames and thus structures experience a lower level of damage under higher intensity measures. The analyses show that the interstory drift in structures equipped with stiff rocking cores is more uniform in static and dynamic analyses. A uniform interstory drift distribution leads to a uniform distribution of the bending moment and a reduction in the structure's total weight and future maintenance costs.

An Integrated Framework for Modeling the Influential Factors Affecting the Use of Voice-Enabled IoT Devices: A Case Study of Amazon Echo

  • Temidayo Oluwapelumi Shofolahan;Juyoung Kang
    • Asia pacific journal of information systems
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    • v.28 no.4
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    • pp.320-349
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    • 2018
  • Purpose: The application of IoT is finding continuous acceptance in our daily lives, particularly, smart speakers are making life easier and convenient for consumers. This research aims to develop and test an integrated model of factors influencing consumer's adoption of voice-enabled IoT devices. Design/methodology/approach: Based on the VAM, an integrated voice-enabled IoT device adoption model is proposed. Gender differences on five constructs relating with perceived value (perceived usefulness, perceived enjoyment, perceived security risk, perceived technicality and perceived cost) was also examined through PLS-MGA technique. The usage experience of consumers was also controlled in the integrated VAM. Findings: Result shows that Perceived-Usefulness, Perceived-Enjoyment and Perceived-Cost have a strong effect on Perceived-Value. However, Perceived-Technicality and Perceived-Security-Risk are non-influential and have no significant effect on PV. Additionally, Perceived-Value and Social-Influence plays a significant role in predicting adoption intention. Gender differences also exist in consumers perception of usefulness, enjoyment and cost. In comparison to the basic value-based adoption model, the integrated model provides more insight on consumers adoption of voice-enabled IoT devices. Originality/value: Using an integrated model, this study is one of the first scholarly attempt at modelling the influential factors for adopting smart speakers i.e., voice-enabled IoT devices, with implications for improved adoption.

Effects of Medium Supplements on Seed-Derived Callus Culture and Regeneration of Orchardgrass (오차드그래스의 종자유래 캘러스배양 및 재분화에 미치는 배지첨가물질의 영향)

  • 이상훈;이동기;이병현
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.3
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    • pp.232-236
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    • 2004
  • In order to optimize tissue culture conditions for genetic transformation of orchardgrass (Dactylis glomerata L.), the effects of culture medium supplements on tissue culture responses were investigated with mature seeds of a cultivar, 'Roughrider', as explant tissues. The optimal concentration of 2,4-D for the induction of embryogenic callus from mature seeds was 3 mg/L. Plant regeneration frequency was 36.3% when embryogenic calli were cultured on the regeneration medium supplemented with 1mg/L 2,4-D and 3mg/L BA. Addition of 1 g/L casein hydrolysate and 300 mg/L L-proline improved frequencies of embryogenic callus induction and plant regeneration up to 57.3 and 60.7%, respectively. Supplementation of the media with 10 mga $\textrm{AgNO}_3$ and 40 mg/L cysteine enhanced frequencies of callus induction and plant regeneration. Efficient regeneration system established in this study will be useful for molecular breeding of orchardgrass through genetic transformation.