Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation

Introduction: Customer service applications supported by AI are increasingly emerging in various fields of life, such as healthcare, education, finance (banking), retail, tourism, and e-commerce. The lack of evaluative research on the impact of AI on customer experience as a commercial service serves as the foundation for the ideas and implementation choices of the research team. To address this issue, a quantitative study assessing customer perceptions (satisfaction, trust, and commitment to maintaining relationships) regarding the influence of modern features in AI-operated services has been conducted. The research paper has been accepted for publication in the International Journal of Trade and Global Markets by Inderscience Publishers, a journal ranked Q2 in the SCOPUS scientific database.

Hypotheses: To achieve the research objectives, the paper utilizes the Commitment-Trust Theory (Morgan and Hunt, 1994) and the Service Quality Model (Ashfaq et al., 2020) to test the research hypotheses:
H1: AI service quality has a positive and significant impact on customer satisfaction.
H2: AI emotional intelligence positively affects customer satisfaction.
H3a: Personalization positively impacts customer commitment to the brand.
H3b: Personalization positively affects customer trust.
H4a: AI security systems positively influence customer commitment to maintaining relationships with the brand when using AI services.
H4b: AI security systems positively impact customer trust when using AI services.
H5: Customer satisfaction positively affects customer experience with AI-supported services.
H6: Brand relationship commitment positively influences customer experience with services provided by AI.
H7: Trust positively affects customer experience supported by AI.

Figure 1: Proposed Hypothesis Model

Research results: Regarding predictive capability, both theories are quite accurate in predicting consumer experiences. Relationship commitment has the greatest impact on consumer experience, followed by satisfaction and trust, which have equivalent effects. The results indicate that both AI service quality and emotional intelligence contribute to enhancing consumer experiences (Schuller and Schuller, 2018). Overall, the effect of AI service quality is more significant than that of emotional intelligence. This may be due to the quality of service and the importance of accurate feedback for online services. In terms of relationship commitment, the impact of personalization is significantly greater than that of AI system security (Uzi et al., 2021). To increase connection and commitment, responses must align with the specific needs of each customer. Security and system personalization have equivalent impacts on trust levels. Customers continue to need their information protected (Kumar, 2019). However, to gain their trust, responses must be tailored to individuals, reflecting the precise functioning of AI. Therefore, this system is both scientific and effective.

Find out more:

Le, M.T.H., Nguyen, K.M., Nguyen, N.T., Vo, N.H., Tran, K.T. and Dao, D.T. (2023) ‘Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation’, International Journal of Trade and Global Markets, 1(1). doi:10.1504/ijtgm.2023.10058887.

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To address this issue, a quantitative study assessing customer perceptions (satisfaction, trust, and commitment to maintaining relationships) regarding the influence of modern features in AI-operated services has been conducted. The research paper has been accepted for publication in the International Journal of Trade and Global Markets by Inderscience Publishers, a journal ranked Q2 in the SCOPUS scientific database.<\/p>\n\nHypotheses:<\/strong> To achieve the research objectives, the paper utilizes the Commitment-Trust Theory (Morgan and Hunt, 1994) and the Service Quality Model (Ashfaq et al., 2020) to test the research hypotheses: \nH1: AI service quality has a positive and significant impact on customer satisfaction. \nH2: AI emotional intelligence positively affects customer satisfaction. \nH3a: Personalization positively impacts customer commitment to the brand. \nH3b: Personalization positively affects customer trust. \nH4a: AI security systems positively influence customer commitment to maintaining relationships with the brand when using AI services. \nH4b: AI security systems positively impact customer trust when using AI services. \nH5: Customer satisfaction positively affects customer experience with AI-supported services. \nH6: Brand relationship commitment positively influences customer experience with services provided by AI. \nH7: Trust positively affects customer experience supported by AI.<\/em> \n&nbsp;<\/p>\n\n&nbsp;<input alt=\"\" src=\"\/datafiles\/45799\/upload\/files\/11.png\" style=\"margin-left: 120px; margin-right: 120px; height: 250px; width: 600px;\" type=\"image\" \/> \nFigure 1: Proposed Hypothesis Model<\/em><\/strong><\/p>\n\nResearch results:<\/strong> Regarding predictive capability, both theories are quite accurate in predicting consumer experiences. Relationship commitment has the greatest impact on consumer experience, followed by satisfaction and trust, which have equivalent effects. The results indicate that both AI service quality and emotional intelligence contribute to enhancing consumer experiences (Schuller and Schuller, 2018). Overall, the effect of AI service quality is more significant than that of emotional intelligence. This may be due to the quality of service and the importance of accurate feedback for online services. In terms of relationship commitment, the impact of personalization is significantly greater than that of AI system security (Uzi et al., 2021). To increase connection and commitment, responses must align with the specific needs of each customer. Security and system personalization have equivalent impacts on trust levels. Customers continue to need their information protected (Kumar, 2019). However, to gain their trust, responses must be tailored to individuals, reflecting the precise functioning of AI. Therefore, this system is both scientific and effective.<\/p>\n\n<hr \/>\nFind out more:&nbsp;<\/b><\/p>\n\nLe, M.T.H., Nguyen, K.M., Nguyen, N.T., Vo, N.H., Tran, K.T. and Dao, D.T. 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Là nhà đăng ký tên miền lớn nhất Việt Nam.","price_final":"Liên Hệ"}},"widget_11217831":{"content_data":{"content":"Đăng ký thông tin"}},"widget_11217841":{"content_data":{"content":"Làm lại"}},"widget_11217844":{"content_data":{"content":"&nbsp;Catefory<\/span><\/span>"}},"widget_11217847":{"content_data":{"content":"Service Hot<\/span>"}},"widget_11217842":{"content_data":{"content":"Gửi"}},"widget_14351513":{"content_data":[{"id":47837,"name":"Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam","desc":"Research was conducted in 2023 by Dr. Hoang Van Viet - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) - Founder of GISA.<\/p>\n","content":"Introduction:<\/strong> The research article was accepted to be published in the scientific journal: International Journal of Emerging Markets belonging to the leading publisher Emerald Publishing, the journal is ranked Q1 in the SCOPUS scientific database directory with Impact Factor index 2.7 and CiteScore 5.6, is one of the leading journals publishing rigorous theoretical and empirical research on emerging markets from multidisciplinary (economics, finance, marketing and management) and multidisciplinary perspectives. geographical country.<\/p>\n\nThe principal goal of a nation and a firm is to produce high and rising income and living standards on a sustainable basis, while being and remaining competitive in the international markets. The ability to obtain the goal depends on how to sustainably maximize the productivity and efficiency of resources (Porter, 1990; Hoang and Tran, 2019). The key issue in both practice and theory is to assess and improve the performance of nations and firms (Hoang et al., 2017). At the firm level, the combination of total quality management and benchmarking determines the key elements of firms&rsquo; competitiveness (Zairi, 1994b). Benchmarking has been increasingly used as a vital tool to help do self-assessment,identify the best practice and recognize areas for improvement. It is acknowledged as one of the best methods for improving the quality, measuring the performance and enhancing the competitiveness of firms (Voss et al., 1994; Hong et al., 2012; Jacobs et al., 2004). \nThe main goal of benchmarking is to enhance the competitive ranks of nations, industries and organizations through internal and external knowledge, combining the best in gaining superiority (Kovacic, 2007). The benefit of benchmarking can be multiplied if it is combined with other tools such as 5S, TQM, Six Sigma, Lean, JIT and TPM (Cua et al., 2001; Swink and Jacobs, 2012). Benchmarking can be perceived as a continuous process of identifying superior performance, comparing firms&rsquo; performance, emulating the best to introduce change, aspiring for superior performance standards and trying the best to learn and achieve these standards (Zairi, 1994a; APICS, 1998). However, barriers may handicap the pursuit of best practices and reduce the effectiveness of benchmarking (Williams et al., 2012). The benchmarking scholars and practitioners are mainly interested in developing and measuring benchmarking indicators while there is a shortage of attention to identifying the barriers and the success factors of benchmarking.<\/p>\n\nPurpose &ndash;<\/strong> This study aims to develop a benchmarking model with productivity, management, and sustainability indicators (PMS), measure the performance of furniture firms in Vietnam, explore the causes of performance gaps, and identify the barriers and factors of benchmarking practice. \nDesign\/methodology\/approach &ndash;<\/strong> The article uses both qualitative and quantitative methods. Literature review, exploratory interviews and a grounded-theory process are employed to develop a benchmarking framework and identify performance gaps, barriers and factors of benchmarking practice. The PMS benchmarking model and quantitative analysis are utilized to assess performance indicators. \nFindings &ndash;<\/strong> The study proposes the PMS benchmarking model and measures performance indicators of furniture firms. The sources of performance gaps are explored as design, material supply, the economy of scale, market, management systems and openness. Benchmarking practice encounters barriers of difficult indicators, unsuitable firms, insufficient benchmarking knowledge, reluctance to share data, unavailable and unreliable data, and weak engagement. Benchmarking practice is determined by core factors: leader; internal factors: systems, engagement, strategy, scope, culture; external factors: customers, suppliers, associations, support, competition. \nPractical implications &ndash;<\/strong> Firms could learn benchmarking indicators and the causes of these gaps to improve their performance. When implementing a benchmarking study, scholars and practitioners need to pay attention to barriers and factors of the benchmarking practice to ensure effective results. \nOriginality\/value &ndash; <\/strong>This study develops the PMS benchmarking model and estimates performance indicators in an emerging country with the performance gap justification. It provides readers with benchmarking barriers with solutions and success factors of benchmarking practice.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V., Nguyen, K.-D. and Nguyen, H.-L. (2023), &quot;Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam&quot;, International Journal of Emerging Markets, Vol. 18 No. 10, pp. 4651-4668. https:\/\/doi.org\/10.1108\/IJOEM-04-2021-0553<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/Bench.jpg?t=1753089905","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/Bench.jpg?t=1774875628","tags":"Benchmarking, Competitive, Management, Models, Project management","count_view":0,"seo_name":"framework-and-determinants-of-benchmarking-a-theoretical-analysis-and-case-study-in-vietnam","date_update":0,"date_created_format":"1729826140","meta_title":"Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam","meta_desc":"","meta_keyword":"Benchmarking, Competitive, Management, Models, Project management","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/framework-and-determinants-of-benchmarking-a-theoretical-analysis-and-case-study-in-vietnam"},{"id":47836,"name":"Do Food Quality Schemes and Net Price Premiums Go Together?","desc":"The study was conducted by Monier-Dilhan with Dr. Hoang Viet and colleagues in 2020 to access the issue of profitability of products under the Food Quality Program (FQS) compared to reference products.<\/p>\n","content":"Partner: <\/strong>The study was conducted by Monier-Dilhan with Dr. Hoang Viet and colleagues in 2020 to access the issue of profitability of products under the Food Quality Program (FQS) compared to reference products.<\/p>\n\nAbstract:<\/strong> This article addresses the issue of the profitability of Food Quality Scheme (FQS) products as compared to reference products, which are defined as analogous products without quality label. We approach this question by taking into account the level of the value chain (upstream, processing, and downstream), the sector (vegetal, animal, seafood) and the type of FQS (PGI, PDO, Organic). We collected original data for several products produced in selected European countries, as well as in Thailand and Vietnam. Comparisons depending on value chain level, sector and FQS are possible by using two comparable indicators: price premium and net price premium (including cost differential). The following principal conclusions were reached: 1) Price is higher for FQS products than for the reference products, regardless of the production level, the type of FQS or the sector; 2) Price premiums generated by FQS do not differ along the value chain, nor between sectors (vegetal, animal or seafood\/fish); 3) Price premium for organic products is significantly higher than for PGI products, and this conclusion holds at upstream and processing levels, taking into account the costs directly related to production; 4) All organic products and almost all PDO and PGI products analysed benefit from a positive quality rent; 5) At upstream level and processing level, the relative weight of intermediate consumption in the cost structure is lower for organic products than for reference products.<\/p>\n\n<hr \/>\nFind out more:<\/strong> <\/i><\/p>\n\nMonier-Dilhan, S., Pom&eacute;on, T., B&ouml;hm, M., Brečić, R., Csillag, P., Donati, M., ... &amp; Bellassen, V. (2020). Do food quality schemes and net price premiums go together?.&nbsp;Journal of Agricultural &amp; Food Industrial Organization,&nbsp;19(2), 79-94.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/close-up-environment-sign-collection.jpg?t=1753089901","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/close-up-environment-sign-collection.jpg?t=1774875628","tags":"food quality scheme, geographical indication, organic, price premium, profitability","count_view":0,"seo_name":"do-food-quality-schemes-and-net-price-premiums-go-together","date_update":0,"date_created_format":"1729825722","meta_title":"Do Food Quality Schemes and Net Price Premiums Go Together?","meta_desc":"","meta_keyword":"food quality scheme, geographical indication, organic, price premium, profitability","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/do-food-quality-schemes-and-net-price-premiums-go-together"},{"id":47834,"name":"Value Chain Analysis and Competitiveness Assessment of Da Xanh Pomelo Sector in Ben Tre, Vietnam","desc":"Research was conducted by Dr. Hoang Van Viet in 2015 - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) -&nbsp;Founder of GISA.<\/p>\n","content":"Abstract:<\/strong> Food value chain analysis is a key and flexible methodology to enhance the values to farmers and end-consumers. Da Xanh pomelo is an important fruit sector of Ben Tre economy. The purpose of this study is to understand the value chain, to estimate the financial contribution, and to measure the competitiveness. This paper employs the theory of value chain approach for analyzing entities participating in planting, processing and commercializing Da Xanh pomelo, calculating added value, and comparing efficiency indicators. The result confirms economic contribution to Ben Tre, reasonable benefit distribution to the actors, and the pomelo value chain is more competitive than other sectors. The paper also explains how value chain analysis methodology assesses and promotes the competitiveness of an agricultural sector. The survey further identifies current problems of pestilent insects and potential supply surplus of the fruit.<\/p>\n\n<hr \/>\nFind out more: <\/strong><\/p>\n\nVan Hoang, V. (2015). Value chain analysis and competitiveness assessment of da xanh pomelo sector in Ben Tre, Vietnam.&nbsp;Asian Social Science,&nbsp;11(2), 8.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/still-life-red-thread-connection.jpg?t=1753089900","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/still-life-red-thread-connection.jpg?t=1774875629","tags":"added value, competitiveness, Da Xanh pomelo, fruit, productivity, value chain","count_view":0,"seo_name":"value-chain-analysis-and-competitiveness-assessment-of-da-xanh-pomelo-sector-in-ben-tre-vietnam","date_update":0,"date_created_format":"1729826192","meta_title":"Value Chain Analysis and Competitiveness Assessment","meta_desc":"","meta_keyword":"added value, competitiveness, Da Xanh pomelo, fruit, productivity, value chain","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/value-chain-analysis-and-competitiveness-assessment-of-da-xanh-pomelo-sector-in-ben-tre-vietnam"},{"id":47811,"name":"Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation.","desc":"The research was conducted by research assistant Nguyen Minh Khoi - an official member at GISA, and his colleagues to analyze how the integration of AI in commercial services and chatbots can impact and improve customer experience.<\/span><\/p>\n","content":"Introduction: <\/strong>Customer service applications supported by AI are increasingly emerging in various fields of life, such as healthcare, education, finance (banking), retail, tourism, and e-commerce. The lack of evaluative research on the impact of AI on customer experience as a commercial service serves as the foundation for the ideas and implementation choices of the research team. To address this issue, a quantitative study assessing customer perceptions (satisfaction, trust, and commitment to maintaining relationships) regarding the influence of modern features in AI-operated services has been conducted. The research paper has been accepted for publication in the International Journal of Trade and Global Markets by Inderscience Publishers, a journal ranked Q2 in the SCOPUS scientific database.<\/p>\n\nHypotheses:<\/strong> To achieve the research objectives, the paper utilizes the Commitment-Trust Theory (Morgan and Hunt, 1994) and the Service Quality Model (Ashfaq et al., 2020) to test the research hypotheses: \nH1: AI service quality has a positive and significant impact on customer satisfaction. \nH2: AI emotional intelligence positively affects customer satisfaction. \nH3a: Personalization positively impacts customer commitment to the brand. \nH3b: Personalization positively affects customer trust. \nH4a: AI security systems positively influence customer commitment to maintaining relationships with the brand when using AI services. \nH4b: AI security systems positively impact customer trust when using AI services. \nH5: Customer satisfaction positively affects customer experience with AI-supported services. \nH6: Brand relationship commitment positively influences customer experience with services provided by AI. \nH7: Trust positively affects customer experience supported by AI.<\/em> \n&nbsp;<\/p>\n\n&nbsp;<input alt=\"\" src=\"\/datafiles\/45799\/upload\/files\/11.png\" style=\"margin-left: 120px; margin-right: 120px; height: 250px; width: 600px;\" type=\"image\" \/> \nFigure 1: Proposed Hypothesis Model<\/em><\/strong><\/p>\n\nResearch results:<\/strong> Regarding predictive capability, both theories are quite accurate in predicting consumer experiences. Relationship commitment has the greatest impact on consumer experience, followed by satisfaction and trust, which have equivalent effects. The results indicate that both AI service quality and emotional intelligence contribute to enhancing consumer experiences (Schuller and Schuller, 2018). Overall, the effect of AI service quality is more significant than that of emotional intelligence. This may be due to the quality of service and the importance of accurate feedback for online services. In terms of relationship commitment, the impact of personalization is significantly greater than that of AI system security (Uzi et al., 2021). To increase connection and commitment, responses must align with the specific needs of each customer. Security and system personalization have equivalent impacts on trust levels. Customers continue to need their information protected (Kumar, 2019). However, to gain their trust, responses must be tailored to individuals, reflecting the precise functioning of AI. Therefore, this system is both scientific and effective.<\/p>\n\n<hr \/>\nFind out more:&nbsp;<\/b><\/p>\n\nLe, M.T.H., Nguyen, K.M., Nguyen, N.T., Vo, N.H., Tran, K.T. and Dao, D.T. (2023) &lsquo;Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation&rsquo;, International Journal of Trade and Global Markets, 1(1). doi:10.1504\/ijtgm.2023.10058887.&nbsp;<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/10209714.jpg?t=1753089899","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/10209714.jpg?t=1774875628","tags":"Consumer experience, chatbox, AI services, personalization","count_view":0,"seo_name":"enhancing-customer-experience-ai-chatbot-service-quality-emotional-intelligence-and-personalisation","date_update":0,"date_created_format":"1729825839","meta_title":"Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation","meta_desc":"","meta_keyword":"Consumer experience, chatbox, AI services, personalization","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/enhancing-customer-experience-ai-chatbot-service-quality-emotional-intelligence-and-personalisation"}]},"widget_12532933":{"content_data":{"content":"Activities"}},"widget_12532934":{"content_data":[{"id":47837,"name":"Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam","desc":"Research was conducted in 2023 by Dr. Hoang Van Viet - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) - Founder of GISA.<\/p>\n","content":"Introduction:<\/strong> The research article was accepted to be published in the scientific journal: International Journal of Emerging Markets belonging to the leading publisher Emerald Publishing, the journal is ranked Q1 in the SCOPUS scientific database directory with Impact Factor index 2.7 and CiteScore 5.6, is one of the leading journals publishing rigorous theoretical and empirical research on emerging markets from multidisciplinary (economics, finance, marketing and management) and multidisciplinary perspectives. geographical country.<\/p>\n\nThe principal goal of a nation and a firm is to produce high and rising income and living standards on a sustainable basis, while being and remaining competitive in the international markets. The ability to obtain the goal depends on how to sustainably maximize the productivity and efficiency of resources (Porter, 1990; Hoang and Tran, 2019). The key issue in both practice and theory is to assess and improve the performance of nations and firms (Hoang et al., 2017). At the firm level, the combination of total quality management and benchmarking determines the key elements of firms&rsquo; competitiveness (Zairi, 1994b). Benchmarking has been increasingly used as a vital tool to help do self-assessment,identify the best practice and recognize areas for improvement. It is acknowledged as one of the best methods for improving the quality, measuring the performance and enhancing the competitiveness of firms (Voss et al., 1994; Hong et al., 2012; Jacobs et al., 2004). \nThe main goal of benchmarking is to enhance the competitive ranks of nations, industries and organizations through internal and external knowledge, combining the best in gaining superiority (Kovacic, 2007). The benefit of benchmarking can be multiplied if it is combined with other tools such as 5S, TQM, Six Sigma, Lean, JIT and TPM (Cua et al., 2001; Swink and Jacobs, 2012). Benchmarking can be perceived as a continuous process of identifying superior performance, comparing firms&rsquo; performance, emulating the best to introduce change, aspiring for superior performance standards and trying the best to learn and achieve these standards (Zairi, 1994a; APICS, 1998). However, barriers may handicap the pursuit of best practices and reduce the effectiveness of benchmarking (Williams et al., 2012). The benchmarking scholars and practitioners are mainly interested in developing and measuring benchmarking indicators while there is a shortage of attention to identifying the barriers and the success factors of benchmarking.<\/p>\n\nPurpose &ndash;<\/strong> This study aims to develop a benchmarking model with productivity, management, and sustainability indicators (PMS), measure the performance of furniture firms in Vietnam, explore the causes of performance gaps, and identify the barriers and factors of benchmarking practice. \nDesign\/methodology\/approach &ndash;<\/strong> The article uses both qualitative and quantitative methods. Literature review, exploratory interviews and a grounded-theory process are employed to develop a benchmarking framework and identify performance gaps, barriers and factors of benchmarking practice. The PMS benchmarking model and quantitative analysis are utilized to assess performance indicators. \nFindings &ndash;<\/strong> The study proposes the PMS benchmarking model and measures performance indicators of furniture firms. The sources of performance gaps are explored as design, material supply, the economy of scale, market, management systems and openness. Benchmarking practice encounters barriers of difficult indicators, unsuitable firms, insufficient benchmarking knowledge, reluctance to share data, unavailable and unreliable data, and weak engagement. Benchmarking practice is determined by core factors: leader; internal factors: systems, engagement, strategy, scope, culture; external factors: customers, suppliers, associations, support, competition. \nPractical implications &ndash;<\/strong> Firms could learn benchmarking indicators and the causes of these gaps to improve their performance. When implementing a benchmarking study, scholars and practitioners need to pay attention to barriers and factors of the benchmarking practice to ensure effective results. \nOriginality\/value &ndash; <\/strong>This study develops the PMS benchmarking model and estimates performance indicators in an emerging country with the performance gap justification. It provides readers with benchmarking barriers with solutions and success factors of benchmarking practice.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V., Nguyen, K.-D. and Nguyen, H.-L. (2023), &quot;Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam&quot;, International Journal of Emerging Markets, Vol. 18 No. 10, pp. 4651-4668. https:\/\/doi.org\/10.1108\/IJOEM-04-2021-0553<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/Bench.jpg?t=1753089905","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/Bench.jpg?t=1774875628","tags":"Benchmarking, Competitive, Management, Models, Project management","count_view":0,"seo_name":"framework-and-determinants-of-benchmarking-a-theoretical-analysis-and-case-study-in-vietnam","date_update":0,"date_created_format":"1729826140","meta_title":"Framework and determinants of benchmarking: a theoretical analysis and case study in Vietnam","meta_desc":"","meta_keyword":"Benchmarking, Competitive, Management, Models, Project management","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/framework-and-determinants-of-benchmarking-a-theoretical-analysis-and-case-study-in-vietnam"},{"id":47836,"name":"Do Food Quality Schemes and Net Price Premiums Go Together?","desc":"The study was conducted by Monier-Dilhan with Dr. Hoang Viet and colleagues in 2020 to access the issue of profitability of products under the Food Quality Program (FQS) compared to reference products.<\/p>\n","content":"Partner: <\/strong>The study was conducted by Monier-Dilhan with Dr. Hoang Viet and colleagues in 2020 to access the issue of profitability of products under the Food Quality Program (FQS) compared to reference products.<\/p>\n\nAbstract:<\/strong> This article addresses the issue of the profitability of Food Quality Scheme (FQS) products as compared to reference products, which are defined as analogous products without quality label. We approach this question by taking into account the level of the value chain (upstream, processing, and downstream), the sector (vegetal, animal, seafood) and the type of FQS (PGI, PDO, Organic). We collected original data for several products produced in selected European countries, as well as in Thailand and Vietnam. Comparisons depending on value chain level, sector and FQS are possible by using two comparable indicators: price premium and net price premium (including cost differential). The following principal conclusions were reached: 1) Price is higher for FQS products than for the reference products, regardless of the production level, the type of FQS or the sector; 2) Price premiums generated by FQS do not differ along the value chain, nor between sectors (vegetal, animal or seafood\/fish); 3) Price premium for organic products is significantly higher than for PGI products, and this conclusion holds at upstream and processing levels, taking into account the costs directly related to production; 4) All organic products and almost all PDO and PGI products analysed benefit from a positive quality rent; 5) At upstream level and processing level, the relative weight of intermediate consumption in the cost structure is lower for organic products than for reference products.<\/p>\n\n<hr \/>\nFind out more:<\/strong> <\/i><\/p>\n\nMonier-Dilhan, S., Pom&eacute;on, T., B&ouml;hm, M., Brečić, R., Csillag, P., Donati, M., ... &amp; Bellassen, V. (2020). Do food quality schemes and net price premiums go together?.&nbsp;Journal of Agricultural &amp; Food Industrial Organization,&nbsp;19(2), 79-94.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/close-up-environment-sign-collection.jpg?t=1753089901","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/close-up-environment-sign-collection.jpg?t=1774875628","tags":"food quality scheme, geographical indication, organic, price premium, profitability","count_view":0,"seo_name":"do-food-quality-schemes-and-net-price-premiums-go-together","date_update":0,"date_created_format":"1729825722","meta_title":"Do Food Quality Schemes and Net Price Premiums Go Together?","meta_desc":"","meta_keyword":"food quality scheme, geographical indication, organic, price premium, profitability","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/do-food-quality-schemes-and-net-price-premiums-go-together"},{"id":47834,"name":"Value Chain Analysis and Competitiveness Assessment of Da Xanh Pomelo Sector in Ben Tre, Vietnam","desc":"Research was conducted by Dr. Hoang Van Viet in 2015 - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) -&nbsp;Founder of GISA.<\/p>\n","content":"Abstract:<\/strong> Food value chain analysis is a key and flexible methodology to enhance the values to farmers and end-consumers. Da Xanh pomelo is an important fruit sector of Ben Tre economy. The purpose of this study is to understand the value chain, to estimate the financial contribution, and to measure the competitiveness. This paper employs the theory of value chain approach for analyzing entities participating in planting, processing and commercializing Da Xanh pomelo, calculating added value, and comparing efficiency indicators. The result confirms economic contribution to Ben Tre, reasonable benefit distribution to the actors, and the pomelo value chain is more competitive than other sectors. The paper also explains how value chain analysis methodology assesses and promotes the competitiveness of an agricultural sector. The survey further identifies current problems of pestilent insects and potential supply surplus of the fruit.<\/p>\n\n<hr \/>\nFind out more: <\/strong><\/p>\n\nVan Hoang, V. (2015). Value chain analysis and competitiveness assessment of da xanh pomelo sector in Ben Tre, Vietnam.&nbsp;Asian Social Science,&nbsp;11(2), 8.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/still-life-red-thread-connection.jpg?t=1753089900","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/still-life-red-thread-connection.jpg?t=1774875629","tags":"added value, competitiveness, Da Xanh pomelo, fruit, productivity, value chain","count_view":0,"seo_name":"value-chain-analysis-and-competitiveness-assessment-of-da-xanh-pomelo-sector-in-ben-tre-vietnam","date_update":0,"date_created_format":"1729826192","meta_title":"Value Chain Analysis and Competitiveness Assessment","meta_desc":"","meta_keyword":"added value, competitiveness, Da Xanh pomelo, fruit, productivity, value chain","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/value-chain-analysis-and-competitiveness-assessment-of-da-xanh-pomelo-sector-in-ben-tre-vietnam"},{"id":47811,"name":"Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation.","desc":"The research was conducted by research assistant Nguyen Minh Khoi - an official member at GISA, and his colleagues to analyze how the integration of AI in commercial services and chatbots can impact and improve customer experience.<\/span><\/p>\n","content":"Introduction: <\/strong>Customer service applications supported by AI are increasingly emerging in various fields of life, such as healthcare, education, finance (banking), retail, tourism, and e-commerce. The lack of evaluative research on the impact of AI on customer experience as a commercial service serves as the foundation for the ideas and implementation choices of the research team. To address this issue, a quantitative study assessing customer perceptions (satisfaction, trust, and commitment to maintaining relationships) regarding the influence of modern features in AI-operated services has been conducted. The research paper has been accepted for publication in the International Journal of Trade and Global Markets by Inderscience Publishers, a journal ranked Q2 in the SCOPUS scientific database.<\/p>\n\nHypotheses:<\/strong> To achieve the research objectives, the paper utilizes the Commitment-Trust Theory (Morgan and Hunt, 1994) and the Service Quality Model (Ashfaq et al., 2020) to test the research hypotheses: \nH1: AI service quality has a positive and significant impact on customer satisfaction. \nH2: AI emotional intelligence positively affects customer satisfaction. \nH3a: Personalization positively impacts customer commitment to the brand. \nH3b: Personalization positively affects customer trust. \nH4a: AI security systems positively influence customer commitment to maintaining relationships with the brand when using AI services. \nH4b: AI security systems positively impact customer trust when using AI services. \nH5: Customer satisfaction positively affects customer experience with AI-supported services. \nH6: Brand relationship commitment positively influences customer experience with services provided by AI. \nH7: Trust positively affects customer experience supported by AI.<\/em> \n&nbsp;<\/p>\n\n&nbsp;<input alt=\"\" src=\"\/datafiles\/45799\/upload\/files\/11.png\" style=\"margin-left: 120px; margin-right: 120px; height: 250px; width: 600px;\" type=\"image\" \/> \nFigure 1: Proposed Hypothesis Model<\/em><\/strong><\/p>\n\nResearch results:<\/strong> Regarding predictive capability, both theories are quite accurate in predicting consumer experiences. Relationship commitment has the greatest impact on consumer experience, followed by satisfaction and trust, which have equivalent effects. The results indicate that both AI service quality and emotional intelligence contribute to enhancing consumer experiences (Schuller and Schuller, 2018). Overall, the effect of AI service quality is more significant than that of emotional intelligence. This may be due to the quality of service and the importance of accurate feedback for online services. In terms of relationship commitment, the impact of personalization is significantly greater than that of AI system security (Uzi et al., 2021). To increase connection and commitment, responses must align with the specific needs of each customer. Security and system personalization have equivalent impacts on trust levels. Customers continue to need their information protected (Kumar, 2019). However, to gain their trust, responses must be tailored to individuals, reflecting the precise functioning of AI. Therefore, this system is both scientific and effective.<\/p>\n\n<hr \/>\nFind out more:&nbsp;<\/b><\/p>\n\nLe, M.T.H., Nguyen, K.M., Nguyen, N.T., Vo, N.H., Tran, K.T. and Dao, D.T. (2023) &lsquo;Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation&rsquo;, International Journal of Trade and Global Markets, 1(1). doi:10.1504\/ijtgm.2023.10058887.&nbsp;<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/10209714.jpg?t=1753089899","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/10209714.jpg?t=1774875628","tags":"Consumer experience, chatbox, AI services, personalization","count_view":0,"seo_name":"enhancing-customer-experience-ai-chatbot-service-quality-emotional-intelligence-and-personalisation","date_update":0,"date_created_format":"1729825839","meta_title":"Enhancing customer experience AI-chatbot: Service quality, emotional intelligence, and personalisation","meta_desc":"","meta_keyword":"Consumer experience, chatbox, AI services, personalization","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/enhancing-customer-experience-ai-chatbot-service-quality-emotional-intelligence-and-personalisation"},{"id":47793,"name":"Investigating and stimulating sustainable dairy consumption behavior: An exploratory study in Vietnam.","desc":"The research was conducted by Dr. Hoang Van Viet - Head&nbsp;of the strong&nbsp;research team&nbsp;FARE (Food, Agricultural, and Rural Economics) - Founder of GISA, and his colleagues to enhance sustainable food consumption behaviors in Vietnam.<\/p>\n","content":"Introduction:<\/strong>&nbsp;Responsible production and consumption models have been identified as Sustainable Development Goals (SDGs) according to the United Nations&#39; announcement. Therefore, ensuring a better understanding of consumer behavior towards sustainable food can help achieve this goal, especially in emerging markets like Vietnam. The research project addresses this issue by exploring the drivers and barriers to sustainable milk consumption in Vietnam. The author also identifies potential policy interventions that could promote more sustainable milk consumption in this market. The research paper has been accepted for publication in the journal Sustainable Production and Consumption, published by the leading publisher Elsevier, which is ranked Q1 in the SCOPUS scientific database with an Impact Factor of 12.1 and a CiteScore of 12.5, making it one of the top journals in the field of sustainable production and consumption.<\/p>\n\nTheoretical framework:<\/strong>&nbsp;To achieve these objectives, the research conducted five focus groups and applied the COM-B (Capability&ndash;Opportunity&ndash;Motivation Behavior) model and the Behavior Change Wheel.<\/p>\n\n&nbsp;<meta charset=\"utf-8\" \/><img src=\"https:\/\/lh7-us.googleusercontent.com\/Mo23nr_JxSAueHUZRpfZfThkZyDy1UTe9MVOgvFir4NMuCr0LBL-omzaPyFlo8MYgEPzefR6X5UWs6JDvaX2nD8jSJGXppysuXS7SDKXpLJI7H-Glt9xoiWZS3db8b2okA5tUwUXeyPfiwCDUCJGF6Y\" style=\"width: 560px; height: 300px; margin-left: 180px; margin-right: 180px;\" \/><\/b> \nFigure 1: The COM-B (Capability, Opportunity, Motivation, and Behavior) model and the Behavior Change Wheel (BCW). The inner wheel represents the sources of behavior, while the outer wheel symbolizes the intervention functions. Adapted from (Michie et al., 2011).<\/strong><\/em><\/p>\n\nThe COM-B model is a behavioral framework used to promote behavioral intervention measures (West et al., 2020) and is based on the assessment of three factors: Capability, Opportunity, and Motivation. Capability refers to personal attributes, which can be psychological (such as knowledge and memory) or physical (such as dexterity), that, when combined with Opportunity, can lead to behavioral change or at least facilitate it. Opportunity refers to the physical attributes (such as material and financial resources) and social attributes (such as cultural and social norms) of the environment that can facilitate behavioral change. Motivation refers to the mental processes that can drive and direct behavior. It can be reflective (conscious thought processes) or automatic (habitual thought processes) (inner circle in Figure 1) (Michie et al., 2011). In the improved version of the COM-B model, the Behavior Change Wheel was developed through systematic evaluation and expert consultation, identifying nine intervention functions (outer circle in Figure 2) (Michie et al., 2011). This ensures that behavioral interventions will pragmatically guide policy choices. The nine intervention functions include providing information and teaching new skills (Education), using persuasion and encouragement to promote behavior change (Persuasion), employing rewards or other incentives (Incentivization), using rules and penalties to deter certain behaviors (Coercion), providing practice and practical guidance (Training), limiting choices to steer behavior in a desired direction (Restriction), altering elements in the environment where behavior occurs to facilitate that behavior (Environmental Restructuring), providing examples of desired behaviors (Modeling), and finally, offering resources and support to actualize that behavior (Michie et al., 2011).<\/p>\n\n<meta charset=\"utf-8\" \/><img src=\"https:\/\/lh7-us.googleusercontent.com\/798EXvD7OpBJdk5l9u_ssP613FA_FMeBj8ntt5KY-rf7sDAv61DOrRaqQ2HfZKNldhqtsIg5ygqnHSKIGxH0AlCPXY54BrqNIStogQVUqrMCmUYrwejPBqSSPz6jvgPOk6cKGBkK4cD6en2On_8rQgE\" style=\"width: 550px; height: 300px; margin-left: 180px; margin-right: 180px;\" \/><\/b><\/p>\n\nFigure 2: Research Implementation Process<\/em><\/strong><\/p>\n\nResearch Process:<\/strong> There are four main stages in the research framework. First, the research questions and analytical model are developed at the project level, with guidelines for the focus group process and analysis of findings based on the overarching framework identified as the COM-B model and the Behavior Change Wheel (Michie et al., 2011). Second, this model allows for the collection of primary data through focus groups after reviewing the research literature. Third, data analysis and coding are conducted using widely accepted qualitative methods from Stage 1. This stage includes three steps: coding, conceptualization, categorization, and theorization. Finally, the findings and theories are developed and consolidated (Figure 2).<\/p>\n\nData:&nbsp;<\/b>collection:<\/strong> Qualitative data was collected from 2019 to 2020 in the most prominent milk consumption markets in Vietnam using focus groups. Focus groups with 6&ndash;8 participants are considered the ideal size for optimal performance in terms of duration, opportunity for individuals to express their opinions, and providing a diversity of perspectives (Millward, 2000). Therefore, five focus groups were conducted for this study, involving 40 participants, with each group lasting 2 hours using purposive sampling methods. The selection criteria for participants emphasized homogeneity in household income within each group (while showing diversity in income levels across groups) but varied in food types, environmental awareness, health consciousness, price sensitivity, age, household composition, education level, and gender (e.g., students, office workers, sales staff, teachers, freelancers, trainers, doctors, professors). This was done to ensure comprehensive coverage of the various milk consumption behaviors. Close relationships among participants were avoided to prevent overlapping effects.&nbsp;<\/p>\n\nResearch Results:<\/strong>&nbsp;The analysis explores 32 drivers and 14 barriers affecting sustainable milk consumption behavior. The main drivers identified are health, brand, product quality, family, and promotions. Notably, participants unanimously agreed that family is the top priority if they have children and live with family. The driving factors are categorized into five groups: (i) food attributes: nutrition, certification, packaging, and flavor; (ii) personal factors: habits, beliefs, preferences, lifestyle, knowledge, and demographics; (iii) social context: social norms, reference groups, traditions, and ethical beliefs; (iv) economic and marketing factors: pricing, communication, advertising, and social networks; (v) environmental and physical context: purchasing locations, residential areas, workplaces, retail displays, and living quality.<\/p>\n\nHowever, milk consumption in Vietnam towards a sustainable model faces various barriers. Focus groups revealed that the main barriers to more sustainable milk consumption models could include new tastes or different flavors (participants may perceive the taste of sustainable dairy products as inferior), insufficient value of food attributes; habits, preferences, lack of trust, lack of knowledge, and lack of information (personal factors); family traditions or habits, social pressure (social context); high prices, misinformation (economic and marketing factors); and the unavailability of sustainable products, difficulty accessing purchasing locations (environmental and physical context).<\/p>\n\nParticipants generally agreed that&nbsp;their understanding of sustainable food production and consumption is limited, their knowledge of the health benefits of sustainable food consumption is insufficient, and their trust in sustainable food products and certifications is low. This encourages the identification and proposal of key intervention actions for stakeholders based on the COM-B model and the Behavior Change Wheel to promote more sustainable milk consumption. These include: i) Capability: enhancing consumers&#39; knowledge and understanding of the benefits of sustainable food production and consumption, promoting transparency and integrity, and effective marketing and advertising; ii) Motivation: promoting health and flavor attributes, connecting certifications with quality and food safety, diversifying flavors, aromas, and product appearances, and enhancing the social and personal value of sustainable food consumption; iii) Opportunity: ensuring affordability, increasing availability and accessibility, ensuring product safety and quality, improving retail channels and product introductions, enhancing farming technology and the efficiency of food supply chains, and developing marketing strategies based on cultural characteristics and social norms.<\/p>\n\nConclusion:<\/strong> The demand for sustainable and healthy food has significantly increased in recent decades. Sustainable food consumption has become a central topic and a new concern for scholars and policymakers. Although the dairy industry has caused various environmental impacts and there have been suggestions to reduce milk consumption, milk remains an essential food sector that contributes to socio-economic development and provides important nutrients for the human body. Businesses, policymakers, and researchers have collaborated to continue providing nutritious and affordable dairy products while optimizing the use of natural resources and minimizing environmental harm. However, there is a lack of research on sustainable milk consumption globally, while Vietnamese consumers&#39; awareness of sustainable food consumption is still in its infancy. Therefore, studying sustainable milk consumption in Vietnam is both crucial and unique. This research comprehensively explores the factors influencing sustainable milk consumption behavior in Vietnam.<\/p>\n\n<hr \/>\nFind out more:&nbsp;<\/strong><\/p>\n\nHoang, V., Saviolidis, N. M., Olafsdottir, G., Bogason, S., Hubbard, C., Samoggia, A., Nguyen, V., &amp; Nguyen, D. (2023). Investigating and stimulating sustainable dairy consumption behavior: An exploratory study in Vietnam. Sustainable Production and Consumption, 42, 183&ndash;195. https:\/\/doi.org\/10.1016\/j.spc.2023.09.016&nbsp; &nbsp;<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/13012_2018_821_Fig1_HTML.png?t=1753090009","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/13012_2018_821_Fig1_HTML.png?t=1774875628","tags":"Barriers, COM-B Model, Drivers, Interventions, Sustainable Milk Consumption Behavior, Vietnam","count_view":0,"seo_name":"investigating-and-stimulating-sustainable-dairy-consumption-behavior-an-exploratory-study-in-vietnam","date_update":0,"date_created_format":"1729826436","meta_title":"Investigating and stimulating sustainable dairy consumption behavior: An exploratory study in Vietnam.","meta_desc":"","meta_keyword":"Barriers, COM-B Model, Drivers, Interventions, Sustainable Milk Consumption Behavior, Vietnam","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/investigating-and-stimulating-sustainable-dairy-consumption-behavior-an-exploratory-study-in-vietnam"},{"id":47791,"name":"Consumers' willingness to pay for an animal welfare food label","desc":"The research was conducted by Dr. Matthew Gorton - Research Partner of GISA - Professor at Newcastle University UK, and associates, aiming to explore the impact of animal welfare food labels (RSPCA Assured and Red Tractor), marketing campaigns related to purpose and pricing, on consumers&#39; willingness to pay.<\/p>\n","content":"Introduction:<\/strong> Consumers are increasingly considering the ethical aspects of food production, including animal welfare, as important to them. However, how these concerns influence consumers&#39; food choices has not been clearly studied. To address this issue, a separate choice experiment was conducted to assess consumers&#39; willingness to pay for chicken meat. The research paper has been accepted for publication in the journal Ecological Economics, a leading publication by Elsevier, ranked Q1 in the SCOPUS database with an Impact Factor of 7 and a CiteScore of 11, making it one of the top journals globally in the field of managing economic activities in ways that promote welfare, sustainability, and human equity.<\/p>\n\nMethodology:<\/strong> To achieve the research objectives, the author conducted both qualitative and quantitative studies. \nThe qualitative study: <\/strong>To support the development of the separate choice experiment, the research team conducted 12 in-depth, semi-structured interviews with six English households (H1-H6). These interviews took place from June 2017 to July 2018 and were conducted as part of an extensive ethnographic field study involving 41 households across seven European countries (Amilien et al., 2022). Although the purpose of this study was to explore consumer perceptions and daily food consumption habits in the context of food quality labels and sustainability, it still revealed specific insights regarding the RSPCA Assured and Red Tractor quality assurance programs as well as preferences for chicken meat.&nbsp;<\/p>\n\nThe quantitative study:<\/strong> The author carried out an online survey to investigate the impact of animal welfare food labels and purpose-related marketing on consumers&#39; willingness to pay for chicken breast in the UK. A commercial market research company, LightSpeed, was commissioned to collect the data, with respondents receiving a small payment for completing the questionnaire. The average response time was approximately 10 minutes. The usable sample included 401 individuals, with participants selected if they (i.) were fully or partially responsible for grocery shopping in their households and (ii.) had consumed chicken breast at least once in the three months prior to the study. In the choice experiment, the product offered to participants was a 320g pack of chicken breast, with various label and purpose alternatives as well as pricing options.<\/p>\n\n \n&nbsp;<img src=\"\/datafiles\/46779\/upload\/images\/image(12).png\" style=\"height: 350px; width: 700px;\" \/><\/p>\n\n \nFigure 1: Choices made in the experiment<\/em><\/strong><\/p>\n\nThe labels are divided into three levels (RSPCA Assured labels, Red Tractor labels, no label). The RSPCA Assured label, formerly known as Freedom Food, is a food labeling and farm assurance program dedicated to animal welfare (RSPCA, 2022). Launched in 1994 by the Royal Society for the Prevention of Cruelty to Animals (RSPCA), this program aims to promote higher standards of animal welfare. It applies to every stage of an animal&#39;s life, including on-farm (encompassing both indoor and outdoor systems), transportation, and slaughter (RSPCA, 2022). To date, over 2,000 products carrying the RSPCA Assured label are marketed by food retailers in the UK, including product lines in major supermarkets.<\/p>\n\nThe Red Tractor label is the largest agricultural and food standards program in the UK, measured by both farm participation and sales volume (Red Tractor, 2022). Established in 2000, the Red Tractor label is operated by Assured Food Standards, an independent, non-profit organization. This program sets standard industry practices, certifying that food has been produced in the UK (hence featuring the Union Jack logo) and ensuring minimum legal requirements for safety, hygiene, and environmental standards, along with rules related to food traceability, animal welfare, and environmental protection. The Red Tractor label is found on products available in all major grocery retailers in the UK and many branded manufacturers, with a total sales value of approximately &pound;12 billion per year (Red Tractor, 2022).<\/p>\n\nOverall, the animal welfare standards required for the Red Tractor label are equivalent to legal requirements. The standards for the RSPCA Assured label, in some important aspects but not all, exceed legal requirements (RSPCA, 2017). Notably, for broiler chickens, the RSPCA label requires a lower stocking density than that mandated by law and allowed under Red Tractor standards (Red Tractor, 2020; RSPCA, 2017). The RSPCA Assured label also has additional requirements related to, for example, stocking density per box of over 1,000 chickens, bedding depth, and the number of drinkers per 100 chickens. \nIn terms of purpose, the experiment combines three levels (farmer, grassland cultivation, no cause). Thus, the selected options include two main types of purpose: supporting producers and external benefits for buyers or sellers.<\/p>\n\nResults and dicussion:<\/strong> Higher animal welfare standards incur greater costs for farmers; therefore, voluntary movements, as opposed to legislation, towards higher welfare standards require support through consumers paying higher prices (Clark et al., 2017; Harvey and Hubbard, 2013; Nocella et al., 2010). However, such pricing will only exist if (a) consumers are willing to pay extra for higher animal welfare standards and (b) it is possible to distinguish between meat produced under higher or lower animal welfare standards.<\/p>\n\nCertification programs provide the mechanism, and the first contribution in the paper relates to evidence showing that consumers are willing to pay more for meat produced according to stricter animal welfare standards. The utility and willingness to pay associated with the higher animal welfare standard program (RSPCA Assured) are greater than those associated with the leading farm assurance label in the UK (Red Tractor). However, the stratified analysis of the experiment suggests that the business case for producers considering &#39;upgrading&#39; from national farm standards to specialized animal welfare labels (from Red Tractor to RSPCA Assured in the UK) is problematic. For price-sensitive consumers, the additional retail price may not be sufficient to offset the greater costs at the farm level when producing under higher welfare standards, even if the associated costs are modest (Seibert and Norwood, 2011). The results indicate that those willing to pay extra for meat products, supporting local farmers and other intrinsic concerns, may overshadow animal welfare considerations.<\/p>\n\nThe second contribution relates to the impact of purpose marketing on consumer choice. While previous research has identified the importance of packaging in consumers&#39; evaluations of food products (Morozzo et al., 2020; Steenis et al., 2017), there is still a lack of evidence regarding the relative importance of purpose compared to quality assurance. The study demonstrates that purpose marketing significantly influences consumers&#39; evaluations of food products and affects their willingness to spend. Purpose-related campaigns often lack specific information about the amount of donations as well as the socioeconomic and environmental outcomes (Young, 2022). The author incorporated these characteristics into the two causes investigated in this study. Despite the lack of such specific information, the phrase &ldquo;we are growing grassland on the farm&rdquo; elicited a significantly greater willingness to pay among relevant consumers compared to the specialized animal welfare label. This suggests that quality assurance programs for animal welfare may be undermined by initiatives that are much less rigorous yet still seem favorable to consumers.<\/p>\n\nRegarding animal welfare, the general policy recommendation is to provide more information for consumers to change behavior (European Commission, 2021; Miranda-de la Lama et al., 2019). However, for a significant portion of consumers, additional information in the form of labeling may not alter their willingness to pay or their behavior.<\/p>\n\nComparing the results with previous segments of meat consumers will highlight similarities and differences. Concerned consumers are often younger and more likely to have completed higher education than price-sensitive consumers, which aligns with previous findings (Alonso et al., 2020; Lagerkvist and Hess, 2010; Verbeke and Vackier, 2004). However, contrary to Akaichi et al. (2019), the authors found no significant differences between segments based on gender or whether respondents lived in urban or rural areas, which Weatherell et al. (2003) considered important. Overall, there is a stronger correlation between food attitudes and consumer behavior than between demographic and socioeconomic characteristics and consumer behavior.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nGorton, M., Yeh, C.-H., Chatzopoulou, E., White, J., Tocco, B., Hubbard, C., &amp; Hallam, F. (2023). Consumers&rsquo; willingness to pay for an animal welfare food label. Ecological Economics, 209, 107852. https:\/\/doi.org\/10.1016\/j.ecolecon.2023.107852 &nbsp;<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/close-up-kid-feeding-chickens.jpg?t=1753089902","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/close-up-kid-feeding-chickens.jpg?t=1774875628","tags":"Animal welfare, Food labels, Cause-related marketing (CRM), Discrete choice experiment (DCE), Latent class analysis (LCA)","count_view":0,"seo_name":"consumers-willingness-to-pay-for-an-animal-welfare-food-label","date_update":0,"date_created_format":"1729826418","meta_title":"Consumers' willingness to pay for an animal welfare food label","meta_desc":"","meta_keyword":"Animal welfare, Food labels, Cause-related marketing (CRM), Discrete choice experiment (DCE), Latent class analysis (LCA)","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/consumers-willingness-to-pay-for-an-animal-welfare-food-label"},{"id":47790,"name":"Comparative Advantages of Alternative Crops: A Comparison Study in Ben Tre, Mekong Delta, Vietnam","desc":"The research was conducted by Dr. Hoang Van Viet et al. in 2019, Dr. Viet is the Head of the strong research group FARE (Food, Agricultural, and Rural Economics) and the Founder of GISA.<\/p>\n","content":"Abstract:<\/strong> This study aims to measure the comparative advantages of alternative crops of rice, coconut, and pomelo as the key indicators for crop cultivation choices by using DRC, SCB, and other competitiveness indicators in PAM model with sensitivity analysis. The results indicate that pomelo fruit obtains the strongest competitiveness, coconut has the medium competitiveness, and rice has the weakest competitiveness. Coconut crop is the most stable while rice is the most sensitive to climate and market changes. This may suggest that farmers and policymakers should convert from rice crop into and adopt pomelo and coconut crops for more effective economic and sustainable benefits. However, this conversion should take account of the soil transferring costs and the initial cultivation costs of pomelo and coconut crops. Production indicators and trade indices seem to indicate contradictory rankings of competitiveness. The result, however, is still consistent with the economic theory.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V. V., &amp; Tran, K. T. (2019). Comparative advantages of alternative crops: A comparison study in Ben Tre, Mekong Delta, Vietnam.&nbsp;AGRIS on-line Papers in Economics and Informatics,&nbsp;11(665-2019-3993).<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/Alter.jpg?t=1713335172","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/Alter.jpg?t=1774875628","tags":"Vietnam, agriculture, crop choices, comparative advantage, sensitive analysis","count_view":0,"seo_name":"comparative-advantages-of-alternative-crops-a-comparison-study-in-ben-tre-mekong-delta-vietnam","date_update":0,"date_created_format":"1729826661","meta_title":"Comparative Advantages of Alternative Crops","meta_desc":"","meta_keyword":"Vietnam, agriculture, crop choices, comparative advantage, sensitive analysis","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/comparative-advantages-of-alternative-crops-a-comparison-study-in-ben-tre-mekong-delta-vietnam"},{"id":47789,"name":"Agricultural Competitiveness of Vietnam by the RCA and the NRCA Indices, and Consistency of Competitiveness Indices","desc":"Research was conducted by Dr. Hoang Van Viet in 2017 - Head of the strong research group&nbsp;FARE (Food, Agricultural, and Rural Economics) and&nbsp;founder of GISA.<\/p>\n","content":"Abstract: <\/strong>This study measures the static and dynamic agricultural competitiveness of Vietnam by the RCA and the NRCA. The dynamics of the trade competitiveness indicators are assessed in three ways: OLS regression, Markov matrices, and trend analysis. The paper, moreover, tests the consistency between the RCA, NRCA, and RTA indices. The results show that (i) Vietnam, generally, achieves strong competitiveness in crop and fishery sectors whilst it has weak competitiveness in livestock and processed food sectors; (ii) the country has the convergent pattern of agricultural competitiveness with the high stability of strong competitive and uncompetitive sectors; (iii) the country&rsquo;s agricultural export strategy and competitiveness pattern are based on the natural-resource-intensive and traditional agricultural products with a slight improvement over time; and (iv) the RCA, NRCA, and RTA indices are strongly consistent in identifying the degrees of competitiveness and determining whether a country obtains competitiveness while they are weakly consistent in ranking competitiveness.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V. V., Tran, K. T., Tu, B. V., Nguyen, V. N., &amp; Nguyen, A. Q. (2017). Agricultural Competitiveness of Vietnam by the RCA and the NRCA Indices, and Consistency of Competitiveness Indices.&nbsp;AGRIS on-line Papers in Economics and Informatics,&nbsp;9(665-2018-3598), 53-67.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/9223868e883be8ca409d9896f73f7334.jpg?t=1713329263","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/9223868e883be8ca409d9896f73f7334.jpg?t=1774875628","tags":"Vietnam, Agriculture, Competitiveness, RCA, NRCA, Dynamics, Consistency","count_view":0,"seo_name":"agricultural-competitiveness-of-vietnam-by-the-rca-and-the-nrca-indices-and-consistency-of-competitiveness-indices","date_update":0,"date_created_format":"1729826605","meta_title":"Agricultural Competitiveness of Vietnam by the RCA and the NRCA Indices, and Consistency of Competitiveness Indices","meta_desc":"","meta_keyword":"Vietnam, Agriculture, Competitiveness, RCA, NRCA, Dynamics, Consistency","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/agricultural-competitiveness-of-vietnam-by-the-rca-and-the-nrca-indices-and-consistency-of-competitiveness-indices"},{"id":47788,"name":"Sustainability of European food quality schemes: Multi-performance, structure, and governance of PDO, PGI, and organic agri-food systems","desc":"The study was conducted by Arfini, Dr. Hoang Viet, and colleagues in 2019 to evaluate the food quality policies of the EU and Southeast Asia. The study focuses on assessing the economic, environmental, and social effectiveness of these food quality programs.<\/p>\n","content":"Introduction:<\/strong> This edited volume evaluates recent EU quality policy, focusing on the structure, governance, technical specifications and performances &ndash; economic, environmental and social &ndash;&nbsp;of Food Quality Schemes (FQS) in the European Union and South East Asia. The intended benefits of FQS include generating a fair return for farmers and producers, and enabling consumers to make better‐informed purchasing choices through effective labeling. In addition, policy makers now consider FQS as a means of guaranteeing not only quality in food production, but also sustainability.&nbsp;&nbsp;<\/p>\n\nResults: <\/strong>Despite these potential benefits,&nbsp;the economic performance of the FQS (e.g. PDO, PGI, organic) has been variable.&nbsp;While some support significant value‐added production, with substantial benefits to producers, consumers and wider economies, many others have failed to become economically sustainable. In addition, the environmental and social performance of FQS remains largely unexamined, with the exception of the environmental performance of organic products.<\/p>\n\nThe editors examine these discrepancies and offer a nuanced evaluation of the effectiveness of such policies. Several unique features make this volume a key resource for those interested in FQS and in the sustainability of food products. The editors provide a concise description of the value chain, the governance and the technical specifications of 27 FQS in Europe and South East Asia. The editors also provide a sustainability assessment of each of these FQS, and support or question the view that FQS are moving from &ldquo;quality&rdquo; to &ldquo;sustainability.&rdquo; Finally, the volume serves as a repository of key data on these FQS. Readers have access to the raw data necessary to compute the indicators used in the sustainability assessment (eg. value added, number of jobs, quantity of fertilizers, etc), allowing them to conduct novel re-analysis.&nbsp;<\/p>\n\nThe book is designed for an interdisciplinary audience of academics, policy makers, and stakeholders. The compilation of FQS case studies makes it a useful reference for researchers and students of food policy, geography, food anthropology, local and rural development, local agri-food systems&nbsp;and agri-food chains. &nbsp;Stakeholders such as national and European regulators, entities responsible&nbsp;for FQS technical specifications, and embassy staff will also find the information relevant. Additionally, individuals helping to implement food quality schemes, including auditors, producers, and consumer associates, as well as stakeholders in the sustainability of food products, including farmers, farmer&#39;s associations, and environmental NGOs, will also find the information relevant and important for their work.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nArfini, F., &amp; Bellassen, V. (Eds.). (2019).&nbsp;Sustainability of European food quality schemes: Multi-performance, structure, and governance of PDO, PGI, and organic agri-food systems. Springer Nature.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/ecology-friendly-energy-environment-sustainable-concept.jpg?t=1753089906","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/ecology-friendly-energy-environment-sustainable-concept.jpg?t=1774875628","tags":"food quality, sustainability, sustainability certification, agricultural product certification","count_view":0,"seo_name":"sustainability-of-european-food-quality-schemes-multi-performance-structure-and-governance-of-pdo-pgi-and-organic-agri-food-systems","date_update":0,"date_created_format":"1729826729","meta_title":"Tính bền vững của các chương trình chất lượng thực phẩm Châu Âu: Đa hiệu suất, cơ cấu và quản trị các hệ thống PDO, PGI và nông sản hữu cơ","meta_desc":"","meta_keyword":"food quality, sustainability, sustainability certification, agricultural product certification","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/sustainability-of-european-food-quality-schemes-multi-performance-structure-and-governance-of-pdo-pgi-and-organic-agri-food-systems"},{"id":47787,"name":"Measuring the Economic, Environmental, and Social Sustainability of Short Food Supply Chains","desc":"The study was conducted by Malak-Rawlikowska, along with Dr. Hoang Viet and colleagues in 2019, to assess the sustainability of food distribution systems. The study compares short and long food supply chains based on economic, social, and environmental indicators.<\/p>\n","content":"Abstract:<\/strong> The production and distribution of food are among the hot topics debated in the context of sustainable development. Short food supply chains (SFSCs) are now widely believed to be more sustainable in comparison to mass food delivery systems. To date, very little quantitative evidence exists on the impacts of various types of food supply chains. Using a cross-sectional quantitative approach, this study assesses the sustainability of distribution channels in short and long food supply chains based on 208 food producers across seven countries: France, Hungary, Italy, Norway, Poland, the United Kingdom, and Vietnam. Ten distribution channel types are used in this study. To provide a comprehensive sustainability assessment, a set of economic, social, and environmental indicators are applied. Indicators commonly used in the literature are used, supported by original indicators constructed specifically for the present study. In total, 486 chains are examined and the study confirms that individual producers participate simultaneously in several, short and long chains. Participation in SFSCs is beneficial for producers from an economic perspective. SFSCs allow producers to capture a large proportion of margin otherwise absorbed by different intermediaries. It appears, however, that &rsquo;longer&rsquo; supply channels generate lower environmental impacts per unit of production when measured in terms of food miles and carbon footprint. Finally, ambiguous results are found regarding social dimension, with significant differences across types of chains.<\/p>\n\n<hr \/>\nFind out more<\/strong>:<\/p>\n\nMalak-Rawlikowska, A., Majewski, E., Wąs, A., Borgen, S. O., Csillag, P., Donati, M., ... &amp; Wavresky, P. (2019). Measuring the economic, environmental, and social sustainability of short food supply chains.&nbsp;Sustainability,&nbsp;11(15), 4004.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/50688.jpg?t=1753089904","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/50688.jpg?t=1774875628","tags":"short food supply chains (SFSCs); economic, social and environmental sustainability; indicators; impact assessment","count_view":0,"seo_name":"measuring-the-economic-environmental-and-social-sustainability-of-short-food-supply-chains","date_update":0,"date_created_format":"1729826762","meta_title":"Measuring the Economic, Environmental, and Social Sustainability","meta_desc":"","meta_keyword":"short food supply chains (SFSCs); economic, social and environmental sustainability; indicators; impact assessment","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/measuring-the-economic-environmental-and-social-sustainability-of-short-food-supply-chains"},{"id":47786,"name":"The Dynamics of Agricultural Intra-Industry Trade: A Comprehensive Case Study in Vietnam","desc":"Research conducted by Dr. Hoang Van Viet in 2019 - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) and founder of GISA.<\/p>\n","content":"Abstract:<\/strong> Intra-industry trade (IIT) and trade dynamics play rising roles in the international economic literature recently. This article investigates Vietnam&rsquo;s agricultural IIT defined by GLI in the world markets and the dynamics of GLI indicators by using the OLS method, Markov matrix, trend analysis, and piecewise regression. The paper finally tests the relationship between IIT and trade specialization. The results indicate that Vietnam&rsquo; agricultural sector has the inter-industry trade with 42 sectors rather than the intra-industry trade with only 19 sectors. But the IIT pattern generally tends to increases over time. The dynamics analyses show that Vietnam&rsquo;s intra-industry trade is relatively dynamic and it mainly bases on the structural changes in the economy. The study provides empirical evidence in Vietnam that intra-industry trade and trade specialization seems to be inversely correlated.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V. (2019). The dynamics of agricultural intra-industry trade: a comprehensive case study in Vietnam. Structural Change and Economic Dynamics, 49, 74-82.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/large-green-rice-field-with-green-rice-plants-rows.jpg?t=1753089900","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/large-green-rice-field-with-green-rice-plants-rows.jpg?t=1774875629","tags":"Vietnam, Agriculture, Intra-industry trade, Dynamics, Specialization","count_view":0,"seo_name":"the-dynamics-of-agricultural-intra-industry-trade-a-comprehensive-case-study-in-vietnam","date_update":0,"date_created_format":"1729826866","meta_title":"The Dynamics of Agricultural Intra-Industry Trade: A Comprehensive Case Study in Vietnam","meta_desc":"","meta_keyword":"Vietnam, Agriculture, Intra-industry trade, Dynamics, Specialization","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/the-dynamics-of-agricultural-intra-industry-trade-a-comprehensive-case-study-in-vietnam"},{"id":47785,"name":"Investigating the evolution of agricultural trade specialization in transition economies: A case study from Vietnam","desc":"Research was conducted by Dr. Hoang Van Viet in 2019 - Head of the strong research group&nbsp;FARE (Food, Agricultural, and Rural Economics) and Founder of GISA.<\/p>\n","content":"Abstract: <\/strong>This article investigates Vietnam&rsquo;s agricultural trade specialization on the world markets by employing the Lafay index (LFI). The dynamics of LFI values from 1997 to 2014 are analyzed in three ways: OLS method, Markov matrix, and trend analysis. The results indicate that Vietnam is highly specialized in the crop and fishery sectors, while it is de-specialized in the livestock and processed-food sectors. The highly specialized sectors tend to decrease the degree of specialization, and the de-specialized sectors increase the degree of specialization. However, the general specialization pattern is not strictly obvious. The impact of the crisis in 2008 is also unclear.<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V. V. (2019). Investigating the evolution of agricultural trade specialization in transition economies: A case study from Vietnam.&nbsp;The International Trade Journal,&nbsp;33(4), 361-378.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/3440585.jpg?t=1753089907","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/3440585.jpg?t=1774875628","tags":"Agriculture, breakpoint, consistency, dynamics, trade specialization, Vietnam","count_view":0,"seo_name":"investigating-the-evolution-of-agricultural-trade-specialization-in-transition-economies-a-case-study-from-vietnam","date_update":0,"date_created_format":"1729826940","meta_title":"Investigating the evolution of agricultural trade specialization","meta_desc":"","meta_keyword":"Agriculture, breakpoint, consistency, dynamics, trade specialization, Vietnam","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/investigating-the-evolution-of-agricultural-trade-specialization-in-transition-economies-a-case-study-from-vietnam"},{"id":47784,"name":"Da Xanh Pomelo value chain analysis in Ben Tre, Viet Nam","desc":"The research was conducted by Dr. Hoang Van Viet in 2013 - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) - Founder of GISA. This research&nbsp;analyzes the current state of value chain operations and the Green Skin grapefruit consumption market.<\/p>\n","content":"Research conducted in Ben Tre province and the green skin grapefruit consumption market in the city. Ho Chi Minh City, with the goal of analyzing the current status of the value chain and the Green Skin grapefruit consumption market, thereby proposing policies for the Ben Tre Green Skin grapefruit industry to develop the consumption market and stabilize the market. determine selling prices and increase the income of actors, especially farmers. The study uses GTZ&#39;s value chain linkage theory, combining M4P&#39;s pro-poor value chain analysis framework and FAO&#39;s value chain financial analysis framework to analyze the relationships between actors, Analyze costs, profits, added value and contribution of the value chain. Analysis results show that the Ben Tre Green Skin grapefruit value chain brings high socio-economic efficiency and income to good actors, especially farmers, and the distribution of profits among public actors. fair and reasonable. Research shows that the most difficult problem today is the problem of pests and diseases and the trend of increasing the area of grapefruit gardens, increasing supply and the need to develop diverse domestic and foreign consumption markets.<\/p>\n\n<hr \/>\nFind out more:<\/strong>&nbsp;<\/p>\n\nVan Hoang, V. (2016). Da Xanh Pomelo value chain analysis in Ben Tre, Viet Nam. University of Economics Ho Chi Minh City, 11(2), 8.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/grapefruit-3367721_1280.jpg?t=1713326276","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/grapefruit-3367721_1280.jpg?t=1774875628","tags":"Value chain, Ben Tre, upgrading, grapefruit, Da Xanh Pomelo","count_view":0,"seo_name":"da-xanh-pomelo-value-chain-analysis-in-ben-tre","date_update":0,"date_created_format":"1729827114","meta_title":"Da Xanh Pomelo value chain analysis in Ben Tre","meta_desc":"","meta_keyword":"Value chain, Ben Tre, upgrading, grapefruit, Da Xanh Pomelo","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/da-xanh-pomelo-value-chain-analysis-in-ben-tre"},{"id":47783,"name":"Modern Short Food Supply Chain, Good Agricultural Practices, and Sustainability","desc":"The research was conducted by Dr. Hoang Van Viet - Head of the strong research group FARE (Food, Agricultural, and Rural Economics) and founder of GISA. This research&nbsp;aims&nbsp;at evaluating the short food supply chain in Vietnam.<\/p>\n","content":"Abstract:<\/strong> The rapid increases in environmental pollution, urbanization, health concerns, and technological progress enhance the demand for greener, healthier, and fairer food production and consumption. The short food supply chain (SFSC) becomes one of the crucial solutions for these issues. This study aims to propose a conceptual framework of the SFSC, assess the short vegetable supply chain (SVSC) in Vietnam, identify its barriers and challenges, and explore interventions and support as key success factors of the SVSC by using both qualitative and quantitative methods. This study initially proposes the SFSC framework with six pillars and 28 indicators, this model is used to assess the SVSC. The results show that the SVSC brings various social, economic, and environmental benefits: First, it can increase farmers&rsquo; income, employment, fairness, and health. Second, the SVSC can decrease environmental pollution, food waste, and energy consumption. Third, it can improve food quality and consumers&rsquo; health. Fourth, the SVSC enhances on-farm education, agricultural tourism, local livestock farming, and traditional culture and relationship. However, the SVSC encounters various barriers and challenges impeding its performances and benefits. The vegetable value chain gains several interventions and support from the government and the project to overcome these barriers. Overall, the SFSC, good agricultural practice, and sustainability are strongly associated: good agricultural practice and sustainability are inherent in the SFSC.<\/p>\n\n&nbsp;<\/p>\n\n<hr \/>\nFind out more:<\/strong><\/p>\n\nHoang, V. (2021). Modern short food supply chain, good agricultural practices, and sustainability: A conceptual framework and case study in Vietnam. Agronomy, 11(12), 2408.<\/p>\n","image_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/files\/still-life-supply-chain-representation.jpg?t=1753089905","image_thumb_url":"https:\/\/gisa.edu.vn\/datafiles\/46779\/upload\/thumb_files\/still-life-supply-chain-representation.jpg?t=1774875629","tags":"food supply chain, sustainable development, agricultural practices","count_view":0,"seo_name":"modern-short-food-supply-chain-good-agricultural-practices-and-sustainability","date_update":0,"date_created_format":"1729827213","meta_title":"Modern Short Food Supply Chain, Good Agricultural Practices, and Sustainability","meta_desc":"","meta_keyword":"food supply chain, sustainable development, agricultural practices","price":false,"price_final":false,"icon_svg":"","qr_code":"https:\/\/gisa.edu.vn\/modern-short-food-supply-chain-good-agricultural-practices-and-sustainability"}]},"widget_12542472":{"content_data":{"content":"Email:"}},"widget_11217556":{"content_data":{"content":"About us<\/span>"}},"widget_11217558":{"content_data":{"content":"Địa chỉ:"}},"widget_11217561":{"content_data":{"content":"SDT:"}},"widget_11217564":{"content_data":{"content":"Email:"}},"widget_11217566":{"content_data":{"content":"Courses<\/span>"}},"widget_11217567":{"content_data":[]},"widget_11399607":{"content_data":{"content":"<ul>\n\t<li>Human Resource Management<\/li>\n\t<li>Comprehensive Leadership<\/li>\n\t<li>Sustainable Leadership<\/li>\n\t<li>Business Strategy Management<\/li>\n\t<li>Sustainable Enterprise Management<\/li>\n\t<li>Applied Psychology<\/li>\n\t<li>Economics for Leadership<\/li>\n\t<li>Business Analytics<\/li>\n\t<li>Applying AI&nbsp;to Enhance Work Performance<\/li>\n<\/ul>\n"}},"widget_11217568":{"content_data":{"content":"Service<\/span>"}},"widget_11251873":{"content_data":[]},"widget_11404652":{"content_data":{"content":"<ul>\n\t<li>Theoretical Scientific Research<\/li>\n\t<li>Experimental Scientific Research<\/li>\n\t<li>Business Research<\/li>\n\t<li>Public Policy Research<\/li>\n\t<li>Market Research<\/li>\n<\/ul>\n"}},"widget_11217570":{"content_data":{"content":"Fanpage<\/span>"}},"widget_11399608":{"content_data":{"content":"<ul>\n\t<li>Performance Management Consulting<\/li>\n\t<li>Human Resource Management Consulting<\/li>\n\t<li>Productivity Improvement Consulting<\/li>\n\t<li>Restructuring Consulting<\/li>\n\t<li>Business Strategy Consulting<\/li>\n\t<li>Finance and Tax Consulting<\/li>\n\t<li>Cleaner Production Consulting<\/li>\n\t<li>Sustainable Management Consulting<\/li>\n\t<li>Policy Consulting<\/li>\n<\/ul>\n"}}}