Hong V. Văn Pham

Prof. Dr. Hong V. Văn Pham

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 May 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Nguyen Thi Nha TrangNguyen Thi Nha Trang
Nguyen Thi Nha Trang
TNThanh-Thuy Nguyen
Thanh-Thuy Nguyen
HPHong V. Văn Pham
Hong V. Văn Pham
TCThi Thu Anh Cao
Thi Thu Anh Cao
TTThu Huong Trinh Thi
Thu Huong Trinh Thi
Javad ShahrekiJavad Shahreki
Javad Shahreki
Collaboration in a supply chain continuously proves its role in increasing the performance of supply chains, which attracts the attention of both academia and practitioners, specifically, how to generate higher impacts of collaborative partnership on the performance of supply chains and measure them. In cold supply chains of agriculture and foods, the vital need for collaboration becomes even more significant to improve the performance. Therefore, this paper reviews relevant articles derived from the Web of Science and Scopus databases. Via the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), the research team classifies the types of collaborative partnership in cold agriculture and food supply chains, issues of the literature when analyzing collaboration impacts on the performance of CSCs of agriculture and foods, and finally, the opportunities for the future research to boost the collaboration practices in these cold chains. Following this sequence, 102 articles were eventually extracted for the systematic review to identify themes for not only addressing the review questions but also highlighting future research opportunities for both development of partnership integration and performance of the cold chains of agriculture and foods.

10 February 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
TNThanh-Thuy Nguyen
Thanh-Thuy Nguyen
CPChi Minh Pham
Chi Minh Pham
VTVinh Thai
Vinh Thai
JTJackie Tan
Jackie Tan
HPHong V. Văn Pham
Hong V. Văn Pham
TTThu Huong Trinh Thi
Thu Huong Trinh Thi
Global supply chains are facing many changes after the COVID-19 pandemic. This change impacts the way each supply chain measures its key performance indicators and determinants for its competitiveness. Aquaculture supply chains (SCA) play an essential role in global trading and fluctuated significantly during the COVID-19 pandemic when many aquaculture supply chains from emerging countries faced disruption. Therefore, after the COVID-19 pandemic, these supply chains have changed their measures and determinants to improve global competitiveness. This paper examines the change in this measure and determinants of the aquaculture supply chain in Vietnam, one of the world’s top 10 biggest exporting countries of aquaculture products. The paper reviews the list of measures and determinants of the aquaculture supply chain before and after the COVID-19 pandemic from the literature. It forms the framework under the shade of Resource-Based View theory. A total of 38 interviews with managers and CEOs of 36 enterprises and two government agencies in the aquaculture supply chain in Vietnam were conducted to explore the strategic changes in the measures of determinants to cope with the new circumstances of current global trade. The findings contribute to enriching the theory in the new VUCA (volatility, uncertainty, complexity, and ambiguity) business environment after the COVID-19 pandemic. In this context, SCA should be defined by supply chain virtues that are associated with the new business environment, such as SC resilience, SC sustainability, SC reliability, SC integration, etc. This finding implies a new horizon for RBV applications, highlighting their adaptability. It suggests that the measures defining competitive advantage in the new business environment should extend beyond the traditional tangible and intangible resources under business certainty. They should also encompass those that differentiate the firms and their supply chain during business turbulence.

12 February 2022 in Management Systems in Production Engineering
Verified
Journal Article
Open access
PDF file
Lien NguyenLien Nguyen
Lien Nguyen
XNXuan-Huynh Nguyen
Xuan-Huynh Nguyen
HPHong V. Văn Pham
Hong V. Văn Pham
The study purpose is to measure the performance of the Vietnamese garment and textiles industry by means of the Negative Malmquist model using the data envelopment analysis (DEA) method. The empirical results presented the efficient, inefficient cases, and average efficiency for all garment and textile companies in Vietnam during from 2016 to 2020. The main findings determined that five companies, including HTG, TET, MSH, M10, and BDG possessed efficiency scores in whole terms. An overall picture of the garment and textiles industry in Vietnam is used to evaluate the operational process. The research recommends a feasible alternative method to deal with inefficient cases.