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Wu I, Liang C. Embracing New Love: Why Customers Are Loyal to Plant Extract-Based Skin-Care Cosmetics. J Cosmet Dermatol 2025; 24:e16731. [PMID: 39754370 PMCID: PMC11699509 DOI: 10.1111/jocd.16731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Accepted: 12/02/2024] [Indexed: 01/06/2025]
Abstract
BACKGROUND In recent years, increases in consumer awareness regarding health and the environment have enhanced their willingness to purchase plant extract-based skin-care products. Although the skin-care product industry has paid increasing attention to consumer behavior in recent years, few studies have investigated customer loyalty to this type of product; in-depth research is urgently required to fill this gap. AIMS This study investigated Taiwanese skin-care products derived from plant extracts by identifying the relationships between consumer prior experience, involvement, perceived value, and loyalty. It also examined how demographic characteristics influence consumer loyalty. PATIENTS/METHODS An online survey yielded 920 valid samples for statistical analysis. Three constructs of involvement, namely product, message, and situational involvement; three constructs of perceived value, namely functional, emotional, and social value; and three constructs of consumer loyalty, namely repurchase intention, willingness to receive information, and willingness to pay, were identified through factor analysis. RESULTS The respondents' perceived value significantly influenced their loyalty toward Taiwanese plant-extract-based skin-care products. The factor with the strongest effect on repurchase intention was emotional value, followed by functional value, product involvement, and social value. The factor with the strongest influence on willingness to receive information and willingness to pay was functional value, followed by product involvement, situational involvement, and emotional value. CONCLUSIONS Respondents with higher educational levels were less likely to repurchase and less willing to receive information on plant extract-based skin-care products. Moreover, men were more willing to pay price premiums for these products than were women.
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Affiliation(s)
- I‐Hsuan Wu
- Department of Bio‐Industry Communication and DevelopmentNational Taiwan UniversityTaipeiTaiwan
- Division of Quality Compliance and ManagementFood and Drug AdministrationTaipeiTaiwan
| | - Chaoyun Liang
- Department of Bio‐Industry Communication and DevelopmentNational Taiwan UniversityTaipeiTaiwan
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Ethen DZ, Begum M, Deltomme B, Rasheduzzaman M, Ballesteros JF, Abilgos-Ramos R, Alam MJ, Atimango AO, De Steur H. Golden opportunities? How marketing expectations drive purchase intentions of golden rice in Bangladesh and the Philippines. GM CROPS & FOOD 2024; 15:316-335. [PMID: 39557829 PMCID: PMC11581164 DOI: 10.1080/21645698.2024.2418161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 10/06/2024] [Accepted: 10/11/2024] [Indexed: 11/20/2024]
Abstract
Golden Rice (GR), genetically modified (GM) rice enriched with provitamin A, holds promise to address micronutrient deficiencies in developing countries. However, its success hinges on market acceptance. This study investigates how the marketing aspects of GR influence consumers' purchase intentions in Bangladesh and the Philippines. The Expectation Confirmation Theory (ECT) is employed to analyze the role of expectations regarding the marketing mix components (i.e. product, price, place, promotion), risk perceptions, performance expectations, and expected satisfaction on consumers' purchase intentions. Data from online surveys in Bangladesh (n = 391) and the Philippines (n = 354), collected using convenience sampling, were analyzed using structural equation modeling. Findings reveal that positive expectations toward the marketing mix, performance, and satisfaction increase consumers' purchase intention of GR, whereas risk perceptions have a negative influence. Additionally, it was found that expectations toward all four marketing mix components significantly affect purchase intention in Bangladesh. However, only product and promotion have a notable influence in the Philippines. These results emphasize the importance of effectively addressing consumers' marketing expectations to help ensure a successful implementation. This study is novel as it delves into consumers' purchase intentions for a GM biofortified crop and their expectations for different aspects of its future marketing (i.e. product, price, place, promotion), performance, and satisfaction. If GR is commercialized, future research should validate these expectations based on actual consumer experiences. Additionally, longitudinal studies could track changes in consumer expectations over time, identifying consistently valued marketing elements and offering a valuable technique for product development before launch.
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Affiliation(s)
- Dilshad Zahan Ethen
- Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium
- Department of Agribusiness and Marketing, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Maimuna Begum
- Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium
- Department of Agricultural Marketing and Business Management, Sylhet Agricultural University, Sylhet, Bangladesh
| | - Berre Deltomme
- Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium
| | - Md. Rasheduzzaman
- Agricultural Economics Division, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh
| | - Josefina F. Ballesteros
- Senior Economic development Specialist, National Economic and Development Authority (NEDA), Eastern Visayas, Philippines
| | - Riza Abilgos-Ramos
- Science Research Specialist, Philippine Rice Research Institute (PhilRice), Science City of Muñoz, Nueva Ecija, Philippines
| | - Mohammad Jahangir Alam
- Department of Agribusiness and Marketing, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Alice Onek Atimango
- Department of Rural Development and Agribusiness, Faculty of Agriculture and Environment, Gulu University, Gulu, Uganda
| | - Hans De Steur
- Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium
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Maojie Z. The impact of anchor characteristics on consumers' willingness to pay a premium for food-an empirical study. Front Nutr 2023; 10:1240503. [PMID: 37731396 PMCID: PMC10507322 DOI: 10.3389/fnut.2023.1240503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/18/2023] [Indexed: 09/22/2023] Open
Abstract
In the food industry space, Netflix foods have exploded onto the Internet on the back of social media and many consumers are paying a premium for them. So what are the motives that may inspire consumers' willingness to pay premium? In this paper, from the perspective of anchor, an external cue, a questionnaire survey was conducted with 275 respondents and analyzed using SPSS software. The results show that anchor characteristics (interactivity, professionalism and popularity) can influence consumers' perceived value and increase their premium purchase intention. Perceived value mediates the relationship between anchor characteristics and willingness to pay a premium. Limited-time limited-quantity positively moderated the relationship between perceived value and premium purchase intention. The results reveal the key role of anchors in consumers' decision-making process of buying Netflix food at a premium, and provide a theoretical basis for enterprises to select and cultivate anchors for product promotion.
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Affiliation(s)
- Zhou Maojie
- College of Tourism & Landscape Architecture, Guilin University of Technology, Guilin, China
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Bashar S, Wang D, Rafiq M. Adoption of green supply chain management in developing countries: role of consumer cooperation, eco-design, and green marketing. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:92594-92610. [PMID: 37495804 DOI: 10.1007/s11356-023-28881-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/16/2023] [Indexed: 07/28/2023]
Abstract
This study investigates the influence of consumer cooperation, eco-design, and green marketing on the adoption of green supply chain management in developing countries. The mediating role of innovation in this relationship is also examined. A survey method was employed, using a questionnaire adapted from previous studies. The sample comprised 250 respondents who were employees of small and medium size and multinational manufacturing industries in Bangladesh. Smart partial least squares (PLS) are currently being used for data analysis, while PLS-structural equation modeling is being employed to assess measurement and structural models. The findings reveal that consumer cooperation, eco-design, and green marketing significantly affect innovation. Furthermore, innovation acts as a mediator between these variables and the adoption of green supply chain management. This study identifies green supply chain management practices that have the potential to enhance organizational performance and motivate companies to implement strategic and operational changes, leading to significant economic, social, and environmental impacts. The research holds significant importance for emerging economies and green supply chain adoption considering the constraints at both organizational and government levels. It provides a framework for a synergistic combination of asset-based elements, innovation, and green supply chain management, benefiting small and medium size organization, multinational corporations, and the supply chain sector in achieving sustainable development goals. The implications of this study extend to supervisors and managers in the corporate world, assisting them in making informed decisions. By expanding the existing literature on the consumer cooperation, eco-design, and green marketing model to include green supply chain management, this study contributes to the field. However, it should be noted that the findings and recommendations may be influenced by contextual factors, and therefore, future research should explore other countries to identify regional and specific sectors, enabling a broader perspective and comparisons as well as green related aspects and performances.
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Affiliation(s)
- Shafiul Bashar
- School of Economics and Management, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China.
| | - Daoping Wang
- School of Economics and Management, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
| | - Marwah Rafiq
- School of Economics and Management, University of Science and Technology Beijing, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
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Kong C, Yang L, Gong H, Wang L, Li H, Li Y, Wei B, Nima C, Deji Y, Zhao S, Guo M, Gu L, Yu J, Gesang Z, Li R. Dietary and Food Consumption Patterns and Their Associated Factors in the Tibetan Plateau Population: Results from 73 Counties with Agriculture and Animal Husbandry in Tibet, China. Nutrients 2022; 14:1955. [PMID: 35565921 PMCID: PMC9103862 DOI: 10.3390/nu14091955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/22/2022] [Accepted: 05/03/2022] [Indexed: 12/04/2022] Open
Abstract
Dietary imbalances are an important cause of morbidity and mortality, both in China and globally. Abnormal element content in the natural environment and the unbalanced dietary structure of populations coexist in the Tibetan Plateau. This study analyzed the dietary and food consumption patterns of 617 Tibetan residents and their associated factors. Cluster analysis revealed three modes of dietary pattern; the food consumption scores (FCSs) of subjects in modes with relatively high consumption frequency of staple food and relatively singular dietary structure were the lowest. Although the FCSs of most subjects were acceptable (FCS > 35), subjects with relatively low FCSs were more dependent on locally cultivated highland barley that is probably low in selenium. Hierarchical linear models revealed both individual−family and regional factors were significantly related (p values < 0.05) with the food consumption of subjects as follows: age, travel time from township to county, and cultivation area of highland barley were negatively related; numbers of individuals aged 40−60 years and pork, beef, and mutton production were positively related. Individuals with secondary or higher education had higher FCSs. A single indicator may be incomprehensive in dietary and food consumption studies. For people with a relatively unbalanced diet, an analysis of the main foods they consume is critical. Dietary and food consumption patterns might have relatively large inter-regional and intra-regional variations; therefore, factors that influence it might be multi-level and multi-scale.
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Affiliation(s)
- Chang Kong
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Linsheng Yang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongqiang Gong
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Li Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Hairong Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yonghua Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Binggan Wei
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Cangjue Nima
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Yangzong Deji
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Shengcheng Zhao
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Min Guo
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Lijuan Gu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Jiangping Yu
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (C.K.); (L.Y.); (L.W.); (Y.L.); (B.W.); (L.G.); (J.Y.)
| | - Zongji Gesang
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
| | - Rujun Li
- Tibet Center of Disease Control and Prevention, Lhasa 850030, China; (H.G.); (C.N.); (Y.D.); (S.Z.); (M.G.); (Z.G.); (R.L.)
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