Analysis of the Influence of Product Design on Consumer Purchasing Decisions
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Keywords: Product Design, Consumer Behavior, Purchasing Decisions, Visual Appeal, Ergonomics.
Abstract
This research examines the influence of product design on consumer purchasing decisions. In the era of intense market competition, companies increasingly recognize that a well-designed product can be a significant factor in attracting consumers. Consumers are often influenced by the aesthetic appeal, usability, and functionality of a product before making a purchase decision. The objective of this study is to analyze the impact of various product design elements such as visual appeal, ergonomics, and brand identity on the purchasing decisions of consumers. This research uses a quantitative approach, employing surveys and questionnaires distributed to a sample of 200 consumers. Data analysis was conducted using descriptive statistics and regression analysis to determine the strength of the relationship between product design and purchasing decisions. The findings indicate that product design has a significant influence on consumer purchasing behavior. Among the design factors, visual appeal was found to have the strongest effect on consumers' decisions, followed by functionality and brand association. The study highlights that product design is not only a tool for differentiation but also a critical element in creating a positive consumer experience. In conclusion, companies should invest in innovative product designs to enhance consumer appeal and drive purchasing decisions.
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References
Alcaide-Marzal, J., Diego-Mas, J. A., & Acosta-Zazueta, G. (2020). A 3D shape generative method for aesthetic product design. Design Studies, 66, 144–176. https://doi.org/10.1016/j.destud.2019.11.003
Ameli, M., Mansour, S., & Ahmadi-Javid, A. (2019). A simulation-optimization model for sustainable product design and efficient end-of-life management based on individual producer responsibility. Resources, Conservation and Recycling, 140, 246–258. https://doi.org/10.1016/j.resconrec.2018.02.031
Badr, S., & Sugiyama, H. (2020). A PSE perspective for the efficient production of monoclonal antibodies: Integration of process, cell, and product design aspects. Current Opinion in Chemical Engineering, 27, 121–128. https://doi.org/10.1016/j.coche.2020.01.003
Beg, S., Swain, S., Rahman, M., Hasnain, M. S., & Imam, S. S. (2019). Application of Design of Experiments (DoE) in Pharmaceutical Product and Process Optimization. In Pharmaceutical Quality by Design (pp. 43–64). Elsevier. https://doi.org/10.1016/B978-0-12-815799-2.00003-4
Biuki, M., Kazemi, A., & Alinezhad, A. (2020). An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network. Journal of Cleaner Production, 260, 120842. https://doi.org/10.1016/j.jclepro.2020.120842
Chai, S., Liu, Q., Liang, X., Guo, Y., Zhang, S., Xu, C., Du, J., Yuan, Z., Zhang, L., & Gani, R. (2020). A grand product design model for crystallization solvent design. Computers & Chemical Engineering, 135, 106764. https://doi.org/10.1016/j.compchemeng.2020.106764
Cong, J., Chen, C.-H., Zheng, P., Li, X., & Wang, Z. (2020). A holistic relook at engineering design methodologies for smart product-service systems development. Journal of Cleaner Production, 272, 122737. https://doi.org/10.1016/j.jclepro.2020.122737
Cong, L., Zhao, F., & Sutherland, J. W. (2019). A Design Method to Improve End-of-Use Product Value Recovery for Circular Economy. Journal of Mechanical Design, 141(4), 044502. https://doi.org/10.1115/1.4041574
Cortinhal, M. J., Lopes, M. J., & Melo, M. T. (2019). A multi-stage supply chain network design problem with in-house production and partial product outsourcing. Applied Mathematical Modelling, 70, 572–594. https://doi.org/10.1016/j.apm.2019.01.046
Diabat, A., Jabbarzadeh, A., & Khosrojerdi, A. (2019). A perishable product supply chain network design problem with reliability and disruption considerations. International Journal of Production Economics, 212, 125–138. https://doi.org/10.1016/j.ijpe.2018.09.018
Dong, M., Zeng, X., Koehl, L., & Zhang, J. (2020). An interactive knowledge-based recommender system for fashion product design in the big data environment. Information Sciences, 540, 469–488. https://doi.org/10.1016/j.ins.2020.05.094
Fan, H., Yu, S., Chu, J., Wang, M., Chen, D., Zhang, S., Wang, W., Wu, T., & Wang, N. (2019). Anthropometric characteristics and product categorization of Chinese auricles for ergonomic design. International Journal of Industrial Ergonomics, 69, 118–141. https://doi.org/10.1016/j.ergon.2018.11.002
Favi, C., Marconi, M., Germani, M., & Mandolini, M. (2019). A design for disassembly tool oriented to mechatronic product de-manufacturing and recycling. Advanced Engineering Informatics, 39, 62–79. https://doi.org/10.1016/j.aei.2018.11.008
Flaherty, S. J., McCarthy, M. B., Collins, A. M., & McAuliffe, F. M. (2019). A different perspective on consumer engagement: Exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management, 35(3–4), 310–337. https://doi.org/10.1080/0267257X.2019.1576756
Franco, M. A. (2019). A system dynamics approach to product design and business model strategies for the circular economy. Journal of Cleaner Production, 241, 118327. https://doi.org/10.1016/j.jclepro.2019.118327
Ghahremani Nahr, J., Pasandideh, S. H. R., & Niaki, S. T. A. (2020). A robust optimization approach for multi-objective, multi-product, multi-period, closed-loop green supply chain network designs under uncertainty and discount. Journal of Industrial and Production Engineering, 37(1), 1–22. https://doi.org/10.1080/21681015.2017.1421591
Guo, F., Qu, Q.-X., Nagamachi, M., & Duffy, V. G. (2020). A proposal of the event-related potential method to effectively identify kansei words for assessing product design features in kansei engineering research. International Journal of Industrial Ergonomics, 76, 102940. https://doi.org/10.1016/j.ergon.2020.102940
Han, X., Li, R., Wang, J., Ding, G., & Qin, S. (2020). A systematic literature review of product platform design under uncertainty. Journal of Engineering Design, 31(5), 266–296. https://doi.org/10.1080/09544828.2019.1699036
Hu, Z., Tian, J., & Feng, G. (2019). A relief supplies purchasing model based on a put option contract. Computers & Industrial Engineering, 127, 253–262. https://doi.org/10.1016/j.cie.2018.12.015
Kim, S., & Moon, S. K. (2020). A Part Consolidation Design Method for Additive Manufacturing based on Product Disassembly Complexity. Applied Sciences, 10(3), 1100. https://doi.org/10.3390/app10031100
Lim, K. Y. H., Zheng, P., Chen, C.-H., & Huang, L. (2020). A digital twin-enhanced system for engineering product family design and optimization. Journal of Manufacturing Systems, 57, 82–93. https://doi.org/10.1016/j.jmsy.2020.08.011
Liu, H., Lobschat, L., Verhoef, P. C., & Zhao, H. (2019). App Adoption: The Effect on Purchasing of Customers who have Used a Mobile Website Previously. Journal of Interactive Marketing, 47(1), 16–34. https://doi.org/10.1016/j.intmar.2018.12.001
Liu, L., Li, Y., Xiong, Y., & Cavallucci, D. (2020). A new function-based patent knowledge retrieval tool for conceptual design of innovative products. Computers in Industry, 115, 103154. https://doi.org/10.1016/j.compind.2019.103154
Liu, Y., Tian, J., Feng, G., & Hu, Z. (2019). A relief supplies purchasing model via option contracts. Computers & Industrial Engineering, 137, 106009. https://doi.org/10.1016/j.cie.2019.106009
Londo, M., Matton, R., Usmani, O., Van Klaveren, M., Tigchelaar, C., & Brunsting, S. (2020). Alternatives for current net metering policy for solar PV in the Netherlands: A comparison of impacts on business case and purchasing behaviour of private homeowners, and on governmental costs. Renewable Energy, 147, 903–915. https://doi.org/10.1016/j.renene.2019.09.062
Lou, S., Feng, Y., Li, Z., Zheng, H., & Tan, J. (2020). An integrated decision-making method for product design scheme evaluation based on cloud model and EEG data. Advanced Engineering Informatics, 43, 101028. https://doi.org/10.1016/j.aei.2019.101028
Mohammed, A. M., & Duffuaa, S. O. (2020). A tabu search based algorithm for the optimal design of multi-objective multi-product supply chain networks. Expert Systems with Applications, 140, 112808. https://doi.org/10.1016/j.eswa.2019.07.025
Moldovan, M. L., Iurian, S., Puscas, C., Silaghi-Dumitrescu, R., Hanganu, D., Bogdan, C., Vlase, L., Oniga, I., & Benedec, D. (2019). A Design of Experiments Strategy to Enhance the Recovery of Polyphenolic Compounds from Vitis vinifera By-Products through Heat Reflux Extraction. Biomolecules, 9(10), 529. https://doi.org/10.3390/biom9100529
Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2021). A survey of digital B2B platforms and marketplaces for purchasing industrial product service systems: A conceptual framework. Procedia CIRP, 97, 331–336. https://doi.org/10.1016/j.procir.2020.05.246
Mourtzis, D., Siatras, V., Angelopoulos, J., & Panopoulos, N. (2020). An Augmented Reality Collaborative Product Design Cloud-Based Platform in the Context of Learning Factory. Procedia Manufacturing, 45, 546–551. https://doi.org/10.1016/j.promfg.2020.04.076
Nagurney, A., Salarpour, M., & Daniele, P. (2019). An integrated financial and logistical game theory model for humanitarian organizations with purchasing costs, multiple freight service providers, and budget, capacity, and demand constraints. International Journal of Production Economics, 212, 212–226. https://doi.org/10.1016/j.ijpe.2019.02.006
Sarda, B., Julia, C., Serry, A.-J., & Ducrot, P. (2020). Appropriation of the Front-of-Pack Nutrition Label Nutri-Score across the French Population: Evolution of Awareness, Support, and Purchasing Behaviors between 2018 and 2019. Nutrients, 12(9), 2887. https://doi.org/10.3390/nu12092887
Schulze-Horn, I., Hueren, S., Scheffler, P., & Schiele, H. (2020). Artificial Intelligence in Purchasing: Facilitating Mechanism Design-based Negotiations. Applied Artificial Intelligence, 34(8), 618–642. https://doi.org/10.1080/08839514.2020.1749337
Wagner, M., Curteza, A., Hong, Y., Chen, Y., Thomassey, S., & Zeng, X. (2019). A design analysis for eco-fashion style using sensory evaluation tools: Consumer perceptions of product appearance. Journal of Retailing and Consumer Services, 51, 253–262. https://doi.org/10.1016/j.jretconser.2019.06.005
Wang, H., Fang, Z., Wang, D., & Liu, S. (2020). An integrated fuzzy QFD and grey decision-making approach for supply chain collaborative quality design of large complex products. Computers & Industrial Engineering, 140, 106212. https://doi.org/10.1016/j.cie.2019.106212
Wang, T., & 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, 102901. https://doi.org/10.1016/j.ergon.2019.102901
Yang, J., He, Q. (Sophia), Corscadden, K., Niu, H., Lin, J., & Astatkie, T. (2019). Advanced models for the prediction of product yield in hydrothermal liquefaction via a mixture design of biomass model components coupled with process variables. Applied Energy, 233–234, 906–915. https://doi.org/10.1016/j.apenergy.2018.10.035
Yang, J. J., Yang, M., Wang, M. X., Du, P. J., & Yu, Y. X. (2020). A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing. International Journal of Electrical Power & Energy Systems, 119, 105928. https://doi.org/10.1016/j.ijepes.2020.105928
Zimon, G., Sobolewski, M., & Lew, G. (2020). An Influence of Group Purchasing Organizations on Financial Security of SMEs Operating in the Renewable Energy Sector—Case for Poland. Energies, 13(11), 2926. https://doi.org/10.3390/en13112926
