Continuous Behavior of Using Food Delivery Mobile Applications in Vietnam after Covid-19 Pandemic

Ha Thu LUONG(Ha Thu LUONG ),Nhi Lan DAO(Nhi Lan DAO ),Trang Thu NGUYEN(Trang Thu NGUYEN ),Uyen Thu Thi LA(Uyen Thu Thi LA ),Na Thi Le TRAN(Na Thi Le TRAN ),Hoa Thi DUONG(Hoa Thi DUONG ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3

Purpose: During and after Covid-19 pandemic, technology has emerged as a key factor in supporting the recovery of the economy and the rise of living standards. This study examines seven factors affecting the intention of food delivery apps usage, which include Performance Expectancy, Effort Expectancy, Social Influence, Hedonic Motivation, Price Value, and Habit, and how much influence they have on the customers' behavioral continuance of food delivery apps after Covid-19 Pandemic. Research methodology: This research is a quantitative descriptive research with 473 qualified respondents from 550 respondents collected. Besides using the UTAUT2 model (Venkatesh et al., 2012), Information Quality was added to give a better explanation for the consumers’ intention towards continuance behavior using food delivery apps. The collected data is then processed using SPSS 22.0. Results: Habit factors and Information Quality factors have significant positive effects on promoting food delivery apps usage intention, which in turn influences continuance behavior. In addition, Habit factors and Information Quality factors together have an effect of 48.57% on Behavioral Intention. Conclusion: The result proves that positive habits and food information quality can increase the usage intention towards the behavioral continuance of consumers. Higher usage frequency can be improved by increasing these two factors.

Four New Compounds Isolated from the Aerial Part of <i>Belamcanda chinensis</i> (L.) and Their Effect on Vascular Smooth Muscle Cell (VSMC) Proliferation

Ha, Do Thi,Binh, Bui Thi,Thu, Nguyen Thi,Bich Thu, Nguyen Thi,Thanh Tung, Pham Ha,Oh, Won Keun Pharmaceutical Society of Japan 2019 Chemical & pharmaceutical bulletin Vol. No.

한국 소비자의 온라인 식품구매 결정요인과 식품 공급사슬 다각화에 관한 연구

정재은(Jae-Eun Chung),Nguyen Thi Thu Ha(Thi Thu Ha Nguyen),Nguyen Thi Bich Loan(Thi Bich Loan Nguyen),문희철(Hee-Cheol Moon) 중앙대학교 한국전자무역연구소 2020 전자무역연구 Vol.18 No.1

연구목적: 최근 온라인 공급업체들은 마케팅 방법과 유통방법의 다각화를 통하여 소비자 만족도 향상에 기여하고 있으며, 이에 따라 온라인 식품시장이 급격히 성장하고 있다. 본 연구는 이러한 온라인 식품시장에서 한국 소비자의 식품구매 결정요인을 실증적으로 분석해 식품 공급사슬 현황에 대한 시의 적절한 시사점을 제공하고자 한다. 논문구성/논리: 연구의 논리성 및 시의 적절성을 제시하기 위해 본 연구에서는 이론적인 연구배경과 선행연구에 대해 제시한 후 이를 참고로 연구모형과 연구가설을 구축하였다. 연구가설 검증에는 SPSS 통계패키지와 AMOS 프로그램이 활용되었으며, 요인의 타당성과 신뢰성 및 측정모형의 적합도를 검증한 후 가설검증을 이행하여 실증분석 결과의 신뢰도를 확보하였다. 본 연구의 차별성을 확보한 조절효과 검증에는 다집단분석 방법이 활용되었다. 결과: 본 연구의 실증분석 결과에 의하면 온라인 공급업자가 제공하는 식료품과 관련정보의 높은 신뢰도는 온라인 식품구매 방법에 대한 소비자의 태도에 대해 긍정적인 영향을 미치는 것으로 나타났다. 또한 온라인 식품 구매 방법에 대해 소비자가 유용하다고 인지할수록 소비자가 온라인 식품구매에 대해 긍정적인 태도를 가지게 되며, 이는 소비자의 구매하고자 하는 의도에도 직접적인 영향을 미치는 것으로 분석되었다. 마지막으로 식료품의 구분에 따른 조절효과가 유의한 것으로 검증된 것에서 제품구분에 따른 소비자의 구매 결정에 대한 영향요인이 다르며, 이는 한국 식품시장의 공급사슬이 다변화, 다각화되고 있어 다른 시각적 접근의 필요성을 제시하였다. 독창성/가치: 본 연구는 최근 소비가 급증하고 있는 한국의 온라인 식품시장에 대해 새로운 시각적 접근의 필요성을 제시하고 식료제품의 구분을 조절적으로 분석해 소비자의 결정요인이 다르게 작용하고 있음을 실증적으로 제시하였다. Purpose: Recently, online suppliers have contributed to improving customer satisfaction through diversification of marketing methods and distribution methods. As a result, the online food market is growing rapidly. This study empirically analyzed the determinants of food purchase of Korean consumers in this online food market, and tried to provide timely implications for the current Korean food supply chain status. Composition/Logic: In order to suggest the logic and timeliness of the study, this study first described the theoretical background and previous studies. Based on this, the research model and hypotheses were constructed. To test the hypothesis, SPSS statistical package and AMOS program were used. After verifying the validity and reliability of the factors and the model fit, the hypothesis verification was conducted to secure the reliability of the empirical analysis results. The multi-group SEM analysis was used to verify the moderating effect, which secured the differentiation of this study. Findings: According to the empirical results of this study, the high reliability of food products and related information provided by online suppliers has a positive effect on consumers attitudes toward online food purchase methods. In addition, as consumers perceive the usefulness of online food purchase method, consumers have a positive attitude toward online food purchase, which has a direct effect on their purchase intention also. Lastly, it was analyzed that the moderating effect of food products classification was significant. This suggests the need for a different approach as the supply chain of the Korean online food market is diversifying. Originality/Value: This study suggested the necessity of a new approach to Korea s online food market, which has recently been increasing rapidly, and empirically suggested that consumers determinants are working differently by analyzing the moderate effect of food products classification.

Zanthoxylum rhetsa Stem Bark Extract Inhibits LPS-induced COX-2 and iNOS expression in RAW 264.7 Cells via the NF-kB Inactivation

Nguyen Bich Thu,Trinh Nam Trung,Do Thi Ha,Nguyen Minh Khoi,Nguyen Viet Than,Thipthaviphone Soulinho,Nguyen Hai Nam,Tran Thi Phuong,배기환 한국생약학회 2010 Natural Product Sciences Vol.16 No.4

The methanol extract of Zanthoxylum rhetsa (MZRR) were evaluated for its ability to suppress the formation of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) in lipopolysaccharide (LPS)-activated RAW 264.7 macrophages. MZRR presented an inhibition of LPS-induced production of nitric oxide (NO) and prostaglandin E2 (PGE2) in RAW 264.7 macrophages. Western blotting and RT-PCR analyses demonstrated that MZRR significantly inhibited the protein and mRNA expressions of iNOS and COX-2 in LPS-activated macrophages in a dose-dependent manner. LPS-induced COX-2, iNOS, and nuclear factor kappa beta (NF-kB) activity were also decreased in the presence of MZRR. The production of tumor necrosis factor-a (TNF-a), the mRNA expression levels of pro-inflammatory cytokines, including TNF-a and IL-1b, were reduced after MZRR administration in a dose dependent-manner. These results suggest that the MZRR extract involved in the inhibition of iNOS and COX-2 via the NF-kB pathway, revealing a partial molecular basis for anti-inflammatory properties of the MZRR extract.

Detecting user status from smartphone sensor data

Nguyen, Thu-Trang,Nguyen, Thi-Hau,Nguyen, Ha-Nam,Nguyen, Duc-Nhan,Choi, GyooSeok The International Promotion Agency of Culture Tech 2016 International Journal of Advanced Culture Technolo Vol.4 No.1

Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.

Screening of Vietnamese Medicinal Plants for Cytotoxic Activity

Nguyen Bich Thu,Trinh Nam Trung,Do Thi Ha,Nguyen Minh Khoi,Tran Viet Hung,Tran Thi Hien,Yim Namhui,배기환 한국생약학회 2010 Natural Product Sciences Vol.16 No.1

Thirty-two methanol extracts of thirty-one Vietnamese medicinal plants were evaluated for the cytotoxic activity against five human cancer cell lines, including A549, MCF-7, HT 1080, Huh-7, and HepG2. Of these, the nine extracts of Acanthopanax trifoliatus (4), Acanthopanax gracilistylus (5), Siegesbeckia orientalis (10), Betula alnoides (11), Passiflora edulis (18), Zanthoxylum simulans (leaf, 23), Adenosma caeruleum (26), Solanum verbascifolium (29), and Alpinia malaccensis (31), exhibited high potent cytotoxic activity showing a certain degree of selectivity against the different cell types, with IC50 values ranging from 2.1 to 3.8 mg/mL.

Analyzing Online Customer Reviews for the Hotel Classification in Vietnam

Ha Thi Thu NGUYEN,Tuan Minh TRAN,Giang Binh NGUYEN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.8

The classification standards for hotels in Vietnam are different from many other hotel classification standards in the world. This study aims to analyze customer reviews on the TripAdvisor website to develop a new algorithm for hotel rating that is independent of Vietnam’s hotel classification standards. This method can be applied to individual hotels, or hotels of a region or the whole country, while online booking sites only rate individual hotels. Data was crawled from TripAdvisor with 22,287 reviews of 5 cities in Vietnam. This study used a statistical model to analyze the review dataset and build an algorithm to rate hotels according to aspects or hotel overall. The results have less rating deviation when compared to the TripAdvisor system. This study also supports hotel managers to regularly update the status of their hotels using data from customer reviews, from which, managers can strategize long-term solutions to improve the quality of the hotel in all aspects and attract more travelers to Vietnam. Moreover, this method can be developed into an automatic system to rate hotels and update the status of service quality more quickly, thus, saving time and costs.

The Antecedents of Online Purchase Intention of Generation Z and Millennials toward Organic Cosmetics in an Emerging Economy

Thi Thu Ha Nguyen,Hiep-Hung Pham,Ngoc Linh Dao,Hong Hanh Dao,Thi Thuy Nuong Duong,Thi Ha Chu The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.6

Purpose - Based on the extended theory of planned behavior (TPB), this study aims to investigate the antecedents of online purchase behavior toward organic cosmetics for Generation Z (Gen Z) and Millennials by focusing on the impact of subjective norms, health consciousness, trust, attitude, and intention. Design/Methodology/Approach - A survey method using an online questionnaire was adopted to collect data from 341 Gen Z and Millennial consumers in Vietnam. The collected data were then analyzed using structural equation modeling (SEM). Findings - The results of the study showed that, among antecedents, that attitude has the strongest impact on the purchase intention of online customers toward organic cosmetics, followed by trust and subjective norms. Interestingly, health consciousness has also been found to significantly impact Gen Z and Millennial online purchase intention toward organic cosmetics. Research Implications - This paper extends the academic literature on purchase intention toward green products. More importantly, to the best of the authors’ knowledge, this study is among the first to examine the antecedents of online purchase intention toward the organic cosmetics of Gen Z and Millennials in an emerging economy, Vietnam. The findings offer important implications for cosmetics companies, retailers, and other stakeholders to have deeper insights into factors influencing young Vietnamese consumer intentions toward purchasing organic beauty products online.

Preparation, Characterization and Application of Zeolite ZSM-5 Filled Polyethylene Films

Nguyen Van Khoi,Nguyen Thanh Tung,Pham Thi Thu Ha,Nguyen Thi Mien,Nguyen Trung Duc 한국고분자학회 2019 한국고분자학회 학술대회 연구논문 초록집 Vol.44 No.1

Detecting user status from smartphone sensor data

Thu-Trang Nguyen,Thi-Hau Nguyen,Ha-Nam Nguyen,Duc-Nhan Nguyen,GyooSeok Choi 국제문화기술진흥원 2016 International Journal of Advanced Culture Technolo Vol.4 No.1

Due to the high increment in usage and built-in advanced technology of smartphones, human activity recognition relying on smartphone sensor data has become a focused research area. In order to reduce noise of collected data, most of previous studies assume that smartphones are fixed at certain positions. This strategy is impractical for real life applications. To overcome this issue, we here investigate a framework that allows detecting the status of a traveller as idle or moving regardless the position and the direction of smartphones. The application of our work is to estimate the total energy consumption of a traveller during a trip. A number of experiments have been carried out to show the effectiveness of our framework when travellers are not only walking but also using primitive vehicles like motorbikes.