Abstract
As global environmental problems become increasingly severe and consumers’ environmental awareness grows, traditional gift packaging is facing heavy criticism due to its excessive luxury orientation, high material consumption, and recycling difficulties. To address these challenges, this study proposed an innovative sustainable gift-packaging design methodology driven by user requirements and integrating the KANO model, Analytic Hierarchy Process (AHP), and Quality Function Deployment (QFD), aiming to enhance consumers’ willingness to adopt green practices and improve overall user experience. First, the KANO model was employed to identify and classify consumers’ packaging requirements, resulting in twenty user needs categorized by attribute. Second, AHP was used to construct a judgment matrix and calculate the composite weight of each requirement, thereby establishing the prioritization of design elements. Finally, QFD translated these user requirements into concrete design parameters, which were then ranked according to their importance. The resulting sustainable gift-packaging solution not only met users’ functional and aesthetic demands but also significantly elevated their environmental awareness. This research offers a scientifically grounded and practically applicable reference for the sustainable development of the packaging industry, while pointing to future research directions and potential applications in sustainable packaging design.
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Sustainable Gift Packaging Design Based on KANO-AHP-QFD
As global environmental problems become increasingly severe and consumers’ environmental awareness grows, traditional gift packaging is facing heavy criticism due to its excessive luxury orientation, high material consumption, and recycling difficulties. To address these challenges, this study proposed an innovative sustainable gift-packaging design methodology driven by user requirements and integrating the KANO model, Analytic Hierarchy Process (AHP), and Quality Function Deployment (QFD), aiming to enhance consumers’ willingness to adopt green practices and improve overall user experience. First, the KANO model was employed to identify and classify consumers’ packaging requirements, resulting in twenty user needs categorized by attribute. Second, AHP was used to construct a judgment matrix and calculate the composite weight of each requirement, thereby establishing the prioritization of design elements. Finally, QFD translated these user requirements into concrete design parameters, which were then ranked according to their importance. The resulting sustainable gift-packaging solution not only met users’ functional and aesthetic demands but also significantly elevated their environmental awareness. This research offers a scientifically grounded and practically applicable reference for the sustainable development of the packaging industry, while pointing to future research directions and potential applications in sustainable packaging design.
DOI: 10.15376/biores.20.4.8528-8550
Keywords: KANO model; Analytic Hierarchy Process (AHP); Quality Function Deployment (QFD); Gift packaging; Sustainable development
Contact information: College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, Jiangsu, China; *Corresponding author: wangwei1219@njfu.edu.cn
INTRODUCTION
Gift packaging is a significant value-added component of products, enhancing product image and facilitating emotional communication (Pogačar and Gregor-Svetec 2025). As of 2025, the global gift-packaging market is projected to reach approximately USD 43.99 billion by 2034, with a compound annual growth rate of 4.81 percent from 2025 to 2034 (Wang et al. 2022). This growth is fueled by e-commerce expansion and demand for durable, reusable corrugated-cardboard boxes. However, traditional gift packaging faces mounting criticism on account of its excessive luxury, high material consumption, and poor recyclability, exacerbating environmental strain. The packaging industry generates a large volume of waste annually, causing serious environmental contamination and resource depletion (Wang et al. 2022). Packaging waste in the U.S. amounted to 82.2 million tons in 2018, representing 28 percent of the total waste stream (US EPA 2017). Consequently, the concepts of “green packaging” or “sustainable packaging” have gained increasing attention. Design approaches are being advocated throughout the entire packaging lifecycle—from material procurement and manufacturing to use and recycling—to minimize environmental impact (Jin et al. 2024). Governments worldwide have begun implementing regulations to limit and reduce packaging waste and to improve waste reprocessing (Islam et al. 2020). Packaged-goods retailers are likewise striving to cut packaging waste and avoid overpackaging—for example, by light-weighting and downsizing packages and limiting plastic content (Boz et al. 2020) or by replacing conventional plastics with recyclable packaging materials (Cinelli et al. 2019).
Yet, developing sustainable solutions remains challenging, balancing environmental goals with functionality, economy, aesthetics, and consumer acceptance (Cao et al. 2021). Though 4 to 7% of consumers pay a 10%+ premium for sustainable products (‘NIQ Report Highlights Top Trends Shaping Tech and Durables Spending in 2025’ 2024) ), traditional design processes often overlook environmental integration and evolving consumer needs (Lindh et al. 2016). Moreover, simply introducing ecofriendly materials or features does not guarantee customer satisfaction or market success if they fail to meet user expectations or provide tangible benefits (Raluy and Dias 2021; Mudgal et al. 2024). This reveals a critical research gap: the lack of systematic methods to harmonize gift packaging’s functional, aesthetic, and emotional demands with sustainability.
This study focused on the sustainable design of gift packaging, aiming to establish a scientific, systematic, and operable design process through the integration of multiple design tools and methodologies. The KANO model was employed to gain an in-depth understanding of consumer demands regarding the attributes of gift packaging, categorizing these needs into basic, performance, and excitement requirements, thereby providing a clear direction for subsequent design stages. Following this, the Analytic Hierarchy Process (AHP) was utilized to determine the priority of various design elements. Finally, the Quality Function Deployment (QFD) method was applied to translate consumer requirements into specific design specifications, serving as the foundation for optimizing design solutions. This ensures that the final design not only maximally satisfies consumer expectations but also aligns with environmental sustainability. Such an integrated approach can assist enterprises in more effectively designing and promoting green packaging, enhancing consumer acceptance and willingness to use, thereby advancing the development of sustainable packaging.
EXPERIMENTAL
Theoretical Model
The Kano model, developed by Professor Noriaki Kano of the Tokyo Institute of Technology, is a widely used framework for categorizing customer needs based on their attributes and priorities, dividing them into five distinct categories: Must-be requirements (M), One-dimensional requirements (O), Attractive requirements (A), Indifferent requirements (I), and Reverse requirements (R) (Shahin et al. 2013). This model helps identify different levels of user needs, providing clear guidance for product design and enhancing customer satisfaction and competitiveness (Wang and Zhou 2020). For instance, Wang et al. (2023) extracted design elements of children’s interactive products and combined the Kano model to analyze user needs and consumer preference attributes, providing a systematic decision-making basis for designers (Wang et al. 2023). Similarly, Luo and Young (2022) analyzed the health protection needs of the elderly based on the Kano model and proposed interface design strategies covering usability, user experience, and appearance.
The Analytic Hierarchy Process (AHP), developed by Professor Thomas L. Saaty of the University of Pennsylvania, is a multi-criteria decision-making method designed to determine the relative importance of various factors (Saaty 1977). AHP addresses complex decision problems by decomposing them into a hierarchical structure consisting of multiple levels. It involves pairwise comparisons among elements within the same level to construct a judgment matrix, from which eigenvectors are calculated to derive the weight of each factor (Luo et al. 2017). AHP is widely applied in product design to prioritize different design elements and optimize design solutions accordingly. For example, Ariff et al. (2008) proposed a method based on AHP for evaluating and selecting the most appropriate design concepts during the conceptual design phase. Similarly, Zhu et al. (2022) applied AHP to obtain the priority ranking of design elements, significantly improving both the rationality and user experience of surgical support equipment design.
Quality Function Deployment (QFD) was proposed in 1966 by Japanese scholar Yoji Akao as a systematic methodology for translating customer needs into specific product design specifications (Wu et al. 2020). QFD employs the construction of a “House of Quality” to establish a structured relationship between consumer requirements and design elements, thereby identifying the priority of design features and formulating targeted design strategies and objectives (Li et al. 2022). The strength of QFD lies in its ability to clarify product features and quality from the outset by mapping user needs to design attributes, which in turn enhances customer satisfaction (Li and Zhang 2021). For instance, Liu et al. (2024) transformed the demands of the mother-and-baby group into quantifiable design features through QFD, and they combined the Kano model with AHP priority ranking to enhance the user satisfaction of the optimized breastfeeding chair. Similarly, Miao et al. (2025) utilized the QFD house of quality model to convert demands into design elements and quantify their importance, thereby obtaining a feasible design plan for parent-child interactive toys.
Research Framework
In the traditional Kano model, limited quantitative analysis is conducted, and its qualitative categorization of customer needs does not accurately reflect the degree of customer satisfaction. These limitations reduce its effectiveness as a decision-making tool in product innovation and service management (Violante and Vezzetti 2017). To address this, many scholars have integrated the Kano model with the Analytic Hierarchy Process (AHP), using Kano to classify user requirements and AHP to assign scientific weights, thus optimizing the design process. For example, Xiao (2025) applied the Kano model to categorize the needs of potential users and used AHP to calculate the weight coefficients across different hierarchical levels, ultimately designing a healing-oriented spatial installation. Similarly, Liu et al. (2024) developed a design process for outdoor leisure chairs by combining the Kano model and AHP: the Kano model was used to extract requirement attributes and their impact coefficients, AHP determined their relative weights, and the final design was evaluated based on harmonious design theory.
While the Kano–AHP model is effective for uncovering user needs, it still struggles to translate these needs into actionable design elements. The Quality Function Deployment (QFD) model, on the other hand, excels at mapping user needs to specific design features. Therefore, the integration of Kano, AHP, and QFD combines the strengths of all three models: Kano enables comprehensive identification and classification of user needs, AHP provides a rigorous quantitative prioritization, and QFD ensures the effective translation of prioritized needs into concrete design parameters. Recent studies have integrated Kano–AHP with QFD for more comprehensive design solutions (Cao 2024; Li et al. 2024).
However, most existing research on sustainable packaging remains at the qualitative level, lacking systematic quantitative analysis and prioritization of user needs. This makes it difficult to accurately measure user satisfaction or translate needs into concrete design elements, limiting the effectiveness of design decisions. To date, few scholars have applied this integrated approach to the study of sustainable packaging design. Therefore, this study adopted the Kano–AHP–QFD theoretical model to conduct research on the sustainable design of gift packaging, aiming to ensure scientific rigor and comprehensiveness throughout the product development process. The detailed design research framework is illustrated in Fig. 1.
User Demand Analysis of Sustainable Gift Packaging Based on Kano Model
Acquisition of user requirements
Several studies (Zhao et al. 2014; Čater and Serafimova 2019; Brennan et al. 2021) have revealed a positive correlation between age, environmental concern, and recycling behavior. Conversely, other research indicates that younger consumers possess a strong awareness of the necessity of environmental protection and are more actively engaged with sustainability issues (Jaderná and Volfová 2022). This study identifies the primary target users as environmentally conscious young consumers aged 18 to 35 with purchasing power, while users from other age groups are considered secondary target groups.
This research combines a literature review with empirical investigation to systematically extract user requirements. A mixed-methods approach was employed, including multi-scenario field observations and semi-structured interviews, to deeply explore consumer needs. User behavior was observed in large retail environments such as Walmart and Costco, with a focus on identifying pain points encountered by consumers during the selection, usage, and disposal of gift packaging.
Additionally, random sampling interviews were conducted with 50 consumers aged 18 to 35 (28 female, 22 male), using open-ended questions to explore their expectations regarding the functionality, aesthetics, and environmental value of gift packaging. By integrating observational data and interview transcripts, the research team applied the card sorting method to preliminarily categorize user needs into three dimensions: aesthetic needs, functional needs, and psychological needs. Subsequently, based on the classification logic of the Kano model, the identified needs were filtered, merged, and categorized, resulting in a list of 20 key requirement items. These serve as a foundation for subsequent priority analysis and design optimization, as presented in Table 1.
Classification of emotional needs
To gain a deeper understanding of users’ genuine needs regarding a product or service and to translate these needs into quantifiable quality attributes, a five-point Likert scale was developed. Users were asked to evaluate their level of satisfaction with each requirement from both positive and negative perspectives, as shown in Table 2. The scale options included: “Very Dissatisfied (1)”, “Dissatisfied (2)”, “Neutral (3)”, “Satisfied (4)”, and “Very Satisfied (5)”. The questionnaire used bidirectional stimulus statements—both positively and negatively framed—to guide participants in comprehensively assessing their satisfaction with each requirement attribute. This approach not only captured users’ functional expectations but also revealed variations in the fulfillment of latent needs.
Table 1. User Demand Index System
A total of 130 questionnaires were distributed, with Question 11 designed as an attention check item to identify random or inattentive responses. After screening, 102 valid responses were obtained, resulting in an effective response rate of 78.5%. Prior to analyzing the questionnaire data, a reliability analysis was conducted. The Cronbach’s α coefficient for the positively worded items was 0.868, while for the negatively worded items it was 0.825. Both values exceed the threshold of 0.8, indicating a high level of internal consistency and suggesting that the data are suitable for further analysis.
Fig. 1. The research framework of sustainable gift packaging design
Subsequently, SPSS 26.0 was used to assess the construct validity of the questionnaire. To ensure the accuracy and comprehensiveness of the analysis, factor analysis was conducted using the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity as key indicators of sampling adequacy. Separate KMO and Bartlett tests were performed for the positively and negatively worded items to verify the validity of the data. For the positively worded items, the KMO value was 0.788, and Bartlett’s Test of Sphericity yielded a chi-square value of 2636.331 with 136 degrees of freedom and a significance level of p < 0.05. For the negatively worded items, the KMO value was 0.863, and the chi-square value for Bartlett’s test was 3540.854, also with 136 degrees of freedom and a significance level of p < 0.05. These results confirm that the questionnaire data passed the significance tests, indicating that the dataset is appropriate for factor analysis (Cortina 1993).
Based on the KANO evaluation matrix (Table 3), the questionnaire responses were classified into five categories: KM, KO, KA, KI, and KR. The classification of each user requirement was determined by the category with the highest proportion of responses. The KANO categorizations were calculated using SPSSPRO 2024.
Table 2. KANO Two-factor Five-order Likert Questionnaire
In the equation, M represents the proportion of Must-be requirements, A denotes the proportion of Attractive requirements, R stands for the proportion of Reverse requirements, O indicates the proportion of One-dimensional requirements, and I reflects the proportion of Indifferent requirements.
Table 3. KANO Evaluation Criteria
Based on the equation and the results of the calculation and classification, 20 preliminary user requirement attributes were identified, as shown in Table 4.
As shown in Table 4, among the 20 identified user requirements, 5 were classified as Must-be requirements (M), 5 as Attractive requirements (A), 8 as One-dimensional requirements (O), and 2 as Indifferent requirements (I). No Reverse requirements (R) or Questionable requirements (Q) were identified.
Table 4. Analysis Table of KANO Questionnaire For Reusable Packaging
The Must-be requirements (M) include: harmonious and comfortable color coordination, durability and abrasion resistance, safe and eco-friendly materials, lightweight and portability, and good storage stability. These are fundamental de-sign elements for sustainable gift packaging. Failure to meet these requirements would significantly reduce user satisfaction. While fulfilling them may not substantially enhance satisfaction, they remain essential and must be addressed in future design practices without excessive enhancement.
The One-dimensional requirements (O) include: easy-to-clean structure, sealing and leak-proof performance, multifunctional adaptability, fulfillment of environmental responsibility, reinforcement of social identity, the pleasure of waste reduction, a sense of trust and safety, and perceived cost-effectiveness. Meeting these requirements effectively in sustainable gift packaging design will enhance user satisfaction; therefore, the quality of these attributes should be maximized.
The Attractive requirements (A) include: integration of natural elements, prominent eco-labeling, visualization of brand storytelling, quick-opening and closing design, and options for personalized customization. Optimizing these features can provide users with unexpected satisfaction and significantly increase their overall experience. As such, these aspects should receive considerable attention in design practice.
The Indifferent requirements (I) include minimalist modern design and space-saving storage. These requirements have no significant impact on user satisfaction and, therefore, are not prioritized for optimization in this design process.
RESULTS AND DISCUSSION
User Requirement Weight Analysis for Sustainable Gift Packaging Based on Analytic Hierarchy Process (AHP)
While the Kano model is effective in classifying user requirements for sustainable gift packaging, it does not provide a means to calculate the relative importance of each requirement. To better prioritize design elements in subsequent design practices, this study incorporated the Analytic Hierarchy Process (AHP)—a method known for its strong logical decision-making capabilities—following the KANO model analysis, in order to accurately determine the overall weights of design factors (Khorsandi and Li 2022). Based on the results of the Kano questionnaire, the 20 user requirements were categorized into Must-be requirements (M), One-dimensional requirements (O), Attractive requirements (A), and Indifferent requirements (I). The two indifferent requirements (I), which do not directly influence user satisfaction, were excluded from further analysis. The remaining 18 user requirements were designated as design objectives for the development and evaluation of sustainable gift packaging.
As shown in Fig. 2, a hierarchical structure model for sustainable gift packaging design was constructed, consisting of three levels: the goal level, the criteria level, and the sub-criteria level. The goal level represents the overall design solution for sustainable gift packaging. The criteria level includes Must-be requirements (M) and Attractive requirements (A). The sub-criteria level comprises the 18 user requirements, specifically: Harmonious and comfortable colors M1, Durable and wear-resistant M2, Safe and eco-friendly materials M3, Light-weight and portable M4, Good storage stability M5, Easy to clean and maintain O1, Sealed and leak-proof performance O2, Multi-functional adaptability O3, Satisfaction of environmental responsibility O4, Strengthen social recognition O5, Pleasure of reducing waste O6, Trust and security O7, Optimized perception of cost performance O8, Natural elements integrated A1, Conspicuous eco-friendly labels A2, Visualized brand story A3, Quick opening and closing design A4 and Personalized customization options A5.
To ensure the professionalism and scientific rigor of the weighting results for user requirements in sustainable gift packaging, this study adopted the Analytic Hierarchy Process (AHP) proposed by Thomas L. Saaty. A 9-point scale, ranging from “extremely important” to “not important at all,” was used to systematically construct an evaluation framework that ensures the precision and consistency of expert judgments (Saaty 1977).
Fig. 2. The hierarchical structure model of sustainable gift packaging design
A panel of 15 experts was invited to participate in the evaluation, representing a diverse range of backgrounds: five environmental engineers (three of whom hold IBEC certification and have led waste treatment projects exceeding 100,000 tons), four packaging designers (with an average of 12.5 years of professional experience, including two recipients of the Gold Award in the China Packaging Creative Design Competition), three sustainability researchers (all of whom have led projects supported by the National Social Science Foundation), three consumer behavior scholars (members of leading teams applying neuroscience to study green consumer behavior), and two industrial engineers (specialists in intelligent manufacturing system integration).
This expert panel covers the four key stages of the product life cycle: technological research and development (environmental engineers), aesthetic and structural design (packaging designers), social impact assessment (sustainability researchers), market demand analysis (consumer behavior scholars), and production process optimization (industrial engineers), forming a comprehensive, closed-loop evaluation system. The diversity of the expert group—spanning technology, design, management, and user perspectives—ensures the comprehensiveness of the assessment. Within this methodology, a judgment matrix was constructed to determine the weight of the criteria-level indicators. The geometric mean method was employed to calculate the weight values of user requirements in sustainable gift packaging, followed by a consistency check of the matrix scores. An overview of the calculation process is presented below, and the results are shown in Tables 5 and 6.
A judgement matrix S was constructed as follows.
where n denotes the order of the judgment matrix, and Swi represents the i component of the eigenvector Sw.
The consistency of λmax was tested as follows,
where n is the order corresponding to the evaluation scale of the judgement matrix, IRI is the average stochastic consistency index, and ICR is the consistency ratio.
The maximum eigenvalue was calculated as follows,
where Sij is the demand indicator in row i, column j, and n is the quantity of the demand indicator.
The geometric mean method was used as the basis for weight calculation to calculate the geometric mean values of each level ai.
Table 5. Criterion Level Judgment Matrix
Table 6. Sub-Criterion Level Judgment Matrix
To ensure the reliability of the data, it is essential to test the consistency of the judgment matrix. When ICR ≤ 0.1, the matrix is considered to meet the requirements of the consistency test, and the resulting weights are deemed valid. Otherwise, the data must be revised and the judgment matrix reconstructed.
Finally, a consistency check was performed on the calculation results. The value of the criterion layer ICR was 0.0371, and the values for the sub-criteria layer were 0.073, 0.051, and 0.045 respectively, all of which were less than 0.1, and conformed to the consistency test standard.
The relative weight ranking results presented in Table 7 indicate that, in addition to fulfilling the Must-be requirements (M), certain One-dimensional requirements (O)—such as Sense of Trust and Safety (O7) and Pleasure from Waste Reduction (O6)—as well as Attractive requirements (A)—such as Quick-opening and Closing Design (A4) and Options for Personalized Customization (A5)—achieved relatively high rankings. Therefore, in practical design implementation, it is essential to give full consideration to the top-ranked user requirements within both the One-dimensional (O) and Attractive (A) categories. Doing so will significantly enhance user satisfaction with the sustainable design of gift packaging.
Table 7. Relative Weight Calculation Ranking Table
Design Element Analysis Based on the Quality Function Deployment (QFD) Method
After determining the weight and overall priority of various user requirements for sustainable gift packaging using the Analytic Hierarchy Process (AHP), it is essential to apply the Quality Function Deployment (QFD) method to translate these user requirements into specific product design parameters. As shown in Table 8, QFD enables the transformation of customer expectations into actionable design elements, ultimately allowing for the calculation of the weight of each design element in the sustainable packaging solution.
The construction of the House of Quality (HOQ) model is the core of the entire Quality Function Deployment (QFD) process. Based on the KANO model and the Analytic Hierarchy Process (AHP), user requirement elements and design parameters were identified and used to build the HOQ. The user requirement weights were incorporated into the left wall of the HOQ, while the design elements formed the roof of the structure.
To assess the relationships between user requirements and design elements, a panel of experts was invited. This panel consisted of two professors specializing in product design, two professional product designers, and one experienced user. They conducted pairwise comparisons between user requirements and design elements in the context of sustainable gift packaging. The symbols ★, ▲, and ● were used to represent the degree of correlation between user requirements and design elements, with assigned values of ★ = 1.5 , represents a strong correlation; ▲ = 1.2, represents a moderate correlation; and ● = 1, represents a weak correlation. Blank spaces indicate no correlation. The final weight of each design element was calculated as the sum of the products of its correlation values with each user requirement and the corresponding user requirement weights, forming the basement of the House of Quality (Zheng et al. 2024). These computed weights were then normalized according to their relative importance and subsequently ranked, as illustrated in Fig. 3.
Table 8. User Requirements-Conversion Table of Elements for Sustainable Gift Packaging Design
Fig. 3. Quality house
Based on the Kano–AHP–QFD methodology, the priority weights of design requirements for sustainable gift packaging were determined, as shown in Fig. 4. The analysis reveals a clear hierarchy of importance among the identified design requirements.
Fig. 4. Relative weight calculation ranking chart
The results indicate that cost control design (D15) and eco-friendly material selection (D1) are the most critical factors, possessing the highest priority weights of 1.9724 and 1.9621, respectively. This suggests that economic feasibility and the choice of environmentally sustainable materials are the most important considerations in the sustainable design of gift packaging. These are followed by several performance-related requirements. Material durability (D4) holds a weight of 1.3370, while reliability design (D2), material weather resistance (D18), and sealing structure (D10) are also assigned high priority weights of 1.1832, 1.1274, and 1.1161, respectively. Sustainable interaction design (D9) also shows a relatively high weight (1.1082), indicating that user interaction and sustainability features are regarded as important design considerations. Requirements such as modular design (D16), customizability (D5), guidance for environmentally friendly behavior (D12), color scheme (D8), and eco-aesthetic design (D14) fall within the medium priority range, with weights varying from 0.9315 to 0.6251. Compared to cost, material performance, and essential functional requirements, these aspects appear to be less critical but still relevant.
Finally, material lightweighting (D11) and surface treatment technology (D17) are identified as having the lowest priority weights, 0.3370 and 0.3069, respectively. This finding may suggest that, while these factors contribute to sustainability, they are perceived as less decisive or having a smaller impact relative to other design parameters within the context of this study.
In summary, the KANO–AHP–QFD analysis prioritizes cost-effectiveness and eco-friendly material selection as the foundational elements of sustainable gift packaging design, followed closely by key performance attributes such as durability, reliability, weather resistance, and seal integrity. Interaction design also emerges as an important design priority. Other factors—including modularity, customization, aesthetics, and lightweighting—occupy a relatively lower but still meaningful level of importance within the derived priority framework. These findings offer valuable insights for advancing the design of sustainable and environmentally responsible packaging solutions.
Sustainable Gift Packaging Design Based on the KANO, AHP, and QFD Models
Based on the ranking of design elements presented in Table 9, a sustainable gift packaging solution was developed, with design renderings shown in Figs. 5 and 6.
Fig. 5. Sustainable gift packaging design display board
Fig. 6. Sustainable gift packaging design renderings
The design centers on the core principles of sustainability, multifunctionality, and user engagement, aiming to overcome the limitations of traditional single-use packaging. Through innovative choices in materials, structure, and functionality, the gift box is endowed with long-term practical value. It not only serves as a vessel for conveying festive sentiments but also transforms into a functional item in users’ daily lives and a medium for promoting environmental awareness. The design embodies the concept of “green consumption as a path to a better life,” encouraging sustainable behavior through thoughtful design.
Top surface design
The top surface features a galloping horse rendered using a water-based, eco-friendly hot stamping foil. In traditional Chinese Zodiac culture, the horse symbolizes perseverance and self-improvement. Above the golden horse motif, the Chinese characters “賀新年” (Happy New Year) are printed in cinnabar red, enhancing the festive atmosphere. The color scheme includes three options: natural tones, red, and blue, catering to various holiday preferences.
Eco-friendly material selection
The packaging is made from 100% post-consumer recycled fiberboard, processed without surface lamination to ensure natural biodegradability and efficient recyclability. SGS testing reports a cross-directional tensile strength of ≥4.5 kN/m and a bursting strength of ≥550 kPa. Compared to conventional white cardboard, this material reduces the carbon footprint by 23%, based on life cycle assessment (LCA) under GB/T 20862-2007. Surface graphics are printed using soy-based inks certified under ISO 24276:2021, achieving a colorfastness rating of 4–5 (ISO 105-B02) and a color difference ΔE < 1.2 after 200 Taber abrasion cycles (CIE Lab* system). The absence of lamination shortens the degradation period to 60–90 days under anaerobic conditions (ASTM D5511-21), while the recycling rate increases to 92%, compared to 41% for traditional PET-laminated paperboard.
Structural design
The gift box consists of six components made from recycled paperboard, assembled using interlocking mortise-and-tenon joints and slots—without the need for adhesives or metal fasteners. Users can quickly assemble the box manually. The joint structure is mechanically optimized to ensure stability and can support up to 2 kg of contents. Rounded corners are adopted on all edges to prevent finger injuries during disassembly, enhancing both safety and usability.
Multifunctional design
A side opening allows users to insert paper currency or coins, enabling the box to function as a piggy bank. Alternatively, the lid can be opened for use as a storage box. The outer surfaces feature a printed 2026 calendar, allowing the box to also serve as a desktop calendar throughout the year.
Eco-labeling and user interaction
The side of the box displays several eco-labels, including FSC certification, recycling symbols, and the PAP21 recyclable material mark. The bottom panel includes an environmental slogan and a QR code. Upon scanning, users can access a detailed carbon footprint data chain of the packaging, covering emissions from material sourcing, transportation, and production stages. Additionally, users receive a digital “Environmental Achievement Card,” which visually presents their contribution to carbon reduction and enhances the positive emotional response to waste reduction. In a pilot study, users spent an average of 82 seconds on the achievement card interface, and 73% followed the subsequent recycling guidance. The FSC-COC certification ensures full traceability from raw materials to finished products. The recycling symbol is produced using intaglio embossing (depth: 0.3 mm), with a tactile recognition accuracy rate of 91% in a blind test (n = 150).
This design leverages the cultural relevance of the Year of the Horse (2026) to deeply integrate Chinese zodiac symbolism with sustainability concepts, creating a festive gift box that is aesthetically pleasing, functionally practical, and emotionally expressive. It transforms gift packaging into not only a vessel of New Year greetings but also a cultural artifact that conveys Eastern wisdom and environmental responsibility.
CONCLUSIONS
- This study classified user requirements using the Kano model and employed the Analytic Hierarchy Process (AHP) to construct a requirement prioritisation matrix. By integrating Quality Function Deployment (QFD), the study translated these requirements into design elements, ultimately forming a “requirement-function-design” mapping framework. Based on this framework, the study proposes reasonable sustainable design solutions for gift packaging, providing new insights and references for the development of other sustainable products.
- However, several limitations should be acknowledged. First, the sample data used in this study were primarily collected from a specific geographic region, which may limit the generalizability of the findings. Second, cultural differences that could influence user preferences and perceptions of sustainable packaging were not fully considered, potentially affecting the applicability of the results in a broader context.
- Future research could address these limitations by expanding the sample to include more diverse regions and by incorporating cross-cultural analyses. Additionally, the transferability and adaptability of the proposed framework to other product categories beyond gift packaging warrant further exploration. Such studies would help validate and refine the framework, enhancing its value for sustainable product design across various industries.
ACKNOWLEDGMENTS
This work was supported by the National Social Science Foundation of China (No. 2023BG01252)
REFERENCES CITED
Ariff, H., Salit, M. S., Ismail, N., and Nukman, Y. (2008). “Use of Analytical Hierarchy Process (AHP) for selecting the best design concept,” Jurnal Teknologi (Sciences and Engineering), 1-18. DOI: 10.11113/jt.v49.188
Boz, Z., Korhonen, V., and Koelsch Sand, C. (2020). “Consumer considerations for the implementation of sustainable packaging: A review,” Sustainability 12(6), article 2192. DOI: 10.3390/su12062192
Brennan, L., Langley, S., Verghese, K., Lockrey, S., Ryder, M., Francis, C., … Hill, A. (2021). “The role of packaging in fighting food waste: A systematised review of consumer perceptions of packaging,” Journal of Cleaner Production 281, article 125276. DOI: 10.1016/j.jclepro.2020.125276
Cao, X., Hsu, Y., and Wu, W. (2021). “Cross-cultural design: A set of design heuristics for concept generation of sustainable packagings,” in: Cross-Cultural Design. Experience and Product Design Across Cultures, P.-L. P. Rau (ed.), Springer International Publishing, Cham, Switzerland, pp. 197-209. DOI: 10.1007/978-3-030-77074-7_16
Cao, Y. (2024). “Interaction design of elderly-friendly smartwatches: A Kano-AHP-QFD theoretical approach,” in: Human Aspects of IT for the Aged Population , Q. Gao and J. Zhou (eds.), Springer Nature, Switzerland, pp. 13–30. DOI: 10.1007/978-3-031-61543-6_2
Čater, B., and Serafimova, J. (2019). “The influence of socio-demographic characteristics on environmental concern and ecologically conscious consumer behaviour among Macedonian consumers,” Economic and Business Review 21(2). DOI: 10.15458/ebr.84
Cinelli, P., Coltelli, M. B., Signori, F., Morganti, P., and Lazzeri, A. (2019). “Cosmetic packaging to save the environment: Future perspectives,” Cosmetics 6(2), article 26. DOI: 10.3390/cosmetics6020026
Cortina, J. M. (1993). “What is coefficient alpha? An examination of theory and applications,” Journal of Applied Psychology 78(1), 98-104. DOI: 10.1037/0021-9010.78.1.98
Islam, M. M., Perry, P., and Gill, S. (2020). “Mapping environmentally sustainable practices in textiles, apparel and fashion industries: A systematic literature review,” Journal of Fashion Marketing and Management 25(2), 331-353. DOI: 10.1108/JFMM-07-2020-0130
Jaderná, E., and Volfová, H. (2022). “Influence of Czech consumers’ education level on preferences for sustainable retailers and products,” Marketing Science and Inspirations 17(2), 26-41. DOI: 10.46286/msi.2022.17.2.3Jin, W., Chen, W., and Ma, K. (2024). “Sustainable packaging user-centered design employing CycleGAN and deep learning,” BioResources 19(4), 7824-7841. DOI: 10.15376/biores.19.4.7824-7841
Khorsandi, A., and Li, L. (2022). “A multi-analysis of children and adolescents’ video gaming addiction with the AHP and TOPSIS methods,” International Journal of Environmental Research and Public Health 19(15), article 9680. DOI: 10.3390/ijerph19159680
Li, M., and Zhang, J. (2021). “Integrating KANO Model, AHP, and QFD methods for new product development based on text mining, intuitionistic fuzzy sets, and customers satisfaction,” Mathematical Problems in Engineering 2021(1), article 2349716. DOI: 10.1155/2021/2349716
Li, S., Zhang, X., Wen, K., and Jiang, J. (2024). “Research driven by user demand for the design of a cross-border travel credential bag,” Sustainability 16(21), article 9547. DOI: 10.3390/su16219547
Li, Y., Ghazilla, R. A. R., and Abdul-Rashid, S. H. (2022). “QFD-based research on sustainable user experience optimization design of smart home products for the elderly: A case study of smart refrigerators,” International Journal of Environmental Research and Public Health 19(21), article 13742. DOI: 10.3390/ijerph192113742
Lindh, H., Olsson, A., and Williams, H. (2016). “Consumer perceptions of food packaging: Contributing to or counteracting environmentally sustainable development? Packaging Technology and Science 29(1), 3-23. DOI: 10.1002/pts.2184
Liu, M., Cheng, H. B., Liao, A., and Kong, Q. (2024). “Research on harmonious design of chairs based on the KANO model and analytic hierarchy process,” BioResources 19(3), 5535-5548. DOI: 10.15376/biores.19.3.5535-5548
Liu, Z., Zhang, C., Ji, X., Yi, X., and Yao, J. (2024). “Design of breastfeeding chairs for maternity rooms based on KANO-AHP-QFD: User requirement-driven design approach,” Heliyon 10(10), article e31287. DOI: 10.1016/j.heliyon.2024.e31287
Luo, C., Lu, Z.-M., Gong, Y.-L., and Ma, Z.-T. (2017). “The comprehensive evaluation of optimization air-condition system based on analytic hierarchy methodology,” Energy Procedia 105, 2095-2100. DOI: 10.1016/j.egypro.2017.03.589
Luo, X.-L., and Young, K. D. (2022). “A Study on app interactive interface design of elderly health monitoring products based on KANO Model,” Journal of Digital Art Engineering Multimedia 9(2), 173-186. DOI: 10.29056/jdaem.2022.06.06
Miao, Y., Xie, X., Wang, H., and Xu, W. (2025). “A study on the design of literacy toy for children with parent-child interactions,” Scientific Reports 15(1), article 6793. DOI: 10.1038/s41598-025-91077-x
Mudgal, D., Pagone, E., and Salonitis, K. (2024). “Selecting sustainable packaging materials and strategies: A holistic approach considering whole life cycle and customer preferences,” Journal of Cleaner Production 481, article 144133. DOI: 10.1016/j.jclepro.2024.144133
NIQ (2024). “Report highlights top trends shaping tech and durables spending in 2025,” (https://nielseniq.com/global/en/news-center/2024/niq-report-highlights-top-trends-shaping-tech-durables-spending-in-2025/), Accessed 19 May 2025.
Pogačar, A., and Gregor-Svetec, D. (2025). “Eco-friendly design for sustainable gift packaging,” Applied Sciences 15(6), article 2973. DOI: 10.3390/app15062973
Raluy, R. G., and Dias, A. C. (2021). “Domestic hot water systems: Environmental performance from a life cycle assessment perspective,” Sustainable Production and Consumption 26, 1011-1020. DOI: 10.1016/j.spc.2021.01.005
Saaty, T. L. (1977). “A scaling method for priorities in hierarchical structures,” Journal of Mathematical Psychology 15(3), 234-281. DOI: 10.1016/0022-2496(77)90033-5
Shahin, A., Pourhamidi, M., Antony, J., and Hyun Park, S. (2013). “Typology of KANO models: A critical review of literature and proposition of a revised model,” International Journal of Quality and Reliability Management 30(3), 341-358. DOI: 10.1108/02656711311299863
US EPA (2017, October 2). “National overview: Facts and figures on materials, wastes and recycling,” (https://www.epa.gov/facts-and-figures-about-materials-waste-and-recycling/national-overview-facts-and-figures-materials), Accessed 24 May 2025.
Violante, M. G., and Vezzetti, E. (2017). “KANO qualitative vs quantitative approaches: An assessment framework for products attributes analysis,” Computers in Industry 86, 15-25. DOI: 10.1016/j.compind.2016.12.007
Wang, L., Elahi, E., Zhou, Y., Wang, L., and Zhang, S. (2022). “A review of packaging materials’ consumption regulation and pollution control,” Sustainability 14(23), article 15866. DOI: 10.3390/su142315866
Wang, T., and Zhou, M. (2020). “A method for product form design of integrating interactive genetic algorithm with the interval hesitation time and user satisfaction,” International Journal of Industrial Ergonomics 76, article 102901. DOI: 10.1016/j.ergon.2019.102901
Wang, X., Yang, T., Zhang, Y., and Xu, S. (2023). “The application of KANO Model in the design of children’s interactive educational products,” in: HCI International 2023 – Late Breaking Papers, P. Zaphiris, A. Ioannou, R. A. Sottilare, J. Schwarz, F. Fui-Hoon Nah, K. Siau, and G. Salvendy (eds.), Springer Nature, Cham, Switzerland, pp. 308-319. DOI: 10.1007/978-3-031-48060-7_23
Wu, X., Hong, Z., Li, Y., Zhou, F., Niu, Y., and Xue, C. (2020). “A function combined baby stroller design method developed by fusing KANO, QFD and FAST methodologies,” International Journal of Industrial Ergonomics 75, article 102867. DOI: 10.1016/j.ergon.2019.102867
Xiao, Q. (2025). “Research on the art design of group psychological healing installation based on user needs,” in: HCI International 2024 – Late Breaking Posters, C. Stephanidis, M. Antona, S. Ntoa, and G. Salvendy (eds.), Springer Nature, Cham, Switzerland, pp. 80-95. DOI: 10.1007/978-3-031-78561-0_9
Zhao, H., Gao, Q., Wu, Y., Wang, Y., and Zhu, X. (2014). “What affects green consumer behavior in China? A case study from Qingdao,” Journal of Cleaner Production 63, 143-151. DOI: 10.1016/j.jclepro.2013.05.021
Zheng, H., Liu, L., Zhang, Q., Wang, Y., and Wei, Y. (2024). “Children’s hospital environment design based on AHP/QFD and other theoretical models,” Buildings 14(6), article 1499. DOI: 10.3390/buildings14061499
Zhu, T.-L., Li, Y.-J., Wu, C.-J., Yue, H., and Zhao, Y.-Q. (2022). “Research on the design of surgical auxiliary equipment based on AHP, QFD, and PUGH decision matrix,” Mathematical Problems in Engineering 2022(1), article 4327390. DOI: 10.1155/2022/4327390
Article submitted: June 5, 2025; Peer review completed: July 26, 2025; Revisions accepted: July 30, 2025; Published: August 6, 2025.
DOI: 10.15376/biores.20.4.8528-8550