IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i7p5950-d1110910.html

A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews

Author

Listed:
  • Qi Wang

    (School of Industrial Design, Hubei University of Technology, Wuhan 430068, China)

  • Shuo Wang

    (School of Industrial Design, Hubei University of Technology, Wuhan 430068, China)

  • Si Fu

    (China-Korea Institute of New Media, Zhongnan University of Economics and Law, Wuhan 430068, China)

Abstract

Small and medium-sized manufacturing industries can use online reviews to add valuable user requirements, enabling them to iteratively and precisely upgrade their products based on user needs. However, a sustainable, iterative approach to product design requires the integration of a large amount of information about user requirements for accurate selection. Currently, product iterations are primarily focused on developing new solutions or upgrading a few components with little screening to see if the product iterations meet user needs. This leads to a large number of wasted resources and a shortened product lifecycle. To address these challenges, this paper proposes a sustainable iterative research method that mines user needs and provides comprehensive decision making for product design based on online reviews, using probabilistic semantic term sets (PLTS). The proposed method considers the hesitation and uncertainty among evaluating experts regarding indicators, and uses the decision-making trial and evaluation laboratory (DEMATEL) method to analyze the correlations between demand indicators. The DEMATEL correlation function is improved by reconstructing the PLTS acquisition score function and deviance into a DEMATEL correlation function, in the form of exact values using an improved binary semantic approach. This iterative design approach provides accurate feedback on how users feel about the use of product components and ensures that most product components are sustainably recycled. A drone case study is presented to demonstrate the feasibility of this approach. In-depth interviews with experts confirm that this approach is more sustainable and provides a new research methodology for sustainable iterative product design.

Suggested Citation

  • Qi Wang & Shuo Wang & Si Fu, 2023. "A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5950-:d:1110910
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/7/5950/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/7/5950/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khan, Irfan & Hou, Fujun & Le, Hoang Phong & Ali, Syed Ahtsham, 2021. "Do natural resources, urbanization, and value-adding manufacturing affect environmental quality? Evidence from the top ten manufacturing countries," Resources Policy, Elsevier, vol. 72(C).
    2. Liu, Yong & Gan, Wen-xue & Zhang, Qi, 2021. "Decision-making mechanism of online retailer based on additional online comments of consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    3. Li, Gang & Law, Rob & Vu, Huy Quan & Rong, Jia, 2013. "Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral," Tourism Management, Elsevier, vol. 36(C), pages 321-330.
    4. Pan, Qiuhui & Liu, Xuesong & Bao, Honglin & Su, Yu & He, Mingfeng, 2018. "Evolution of cooperation through adaptive interaction in a spatial prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 571-581.
    5. Riccardo Brozzi & David Forti & Erwin Rauch & Dominik T. Matt, 2020. "The Advantages of Industry 4.0 Applications for Sustainability: Results from a Sample of Manufacturing Companies," Sustainability, MDPI, vol. 12(9), pages 1-19, May.
    6. Huchang Liao & Xiaomei Mi & Zeshui Xu, 2020. "A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions," Fuzzy Optimization and Decision Making, Springer, vol. 19(1), pages 81-134, March.
    7. Di Feng & Chunfu Lu & Shaofei Jiang, 2022. "An Iterative Design Method from Products to Product Service Systems—Combining Acceptability and Sustainability for Manufacturing SMEs," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    2. Axenbeck, Janna & Niebel, Thomas, 2021. "Climate Protection Potentials of Digitalized Production Processes: Microeconometric Evidence," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238007, International Telecommunications Society (ITS).
    3. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    4. Yugang He, 2022. "Renewable and Non-Renewable Energy Consumption and Trade Policy: Do They Matter for Environmental Sustainability?," Energies, MDPI, vol. 15(10), pages 1-17, May.
    5. Lili Guo & Yuting Song & Mengqian Tang & Jinyang Tang & Bright Senyo Dogbe & Mengying Su & Houjian Li, 2022. "Assessing the Relationship among Land Transfer, Fertilizer Usage, and PM 2.5 Pollution: Evidence from Rural China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    6. Yinrunjie Zhang & Decui Liang & Zeshui Xu, 2025. "Cross-platform hotel evaluation by aggregating multi-website consumer reviews with probabilistic linguistic term set and Choquet integral," Annals of Operations Research, Springer, vol. 348(1), pages 221-255, May.
    7. Adhikari, Arnab & Sharma, Megha & Basu, Sumanta & Jha, Ashish Kumar, 2022. "Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    8. Xiong, Yuyu & Guo, Hongxiang & Nor, Datin Dr Mariani Md & Song, Andong & Dai, Li, 2023. "Mineral resources depletion, environmental degradation, and exploitation of natural resources: COVID-19 aftereffects," Resources Policy, Elsevier, vol. 85(PA).
    9. Wu, Guoyong & Gao, Yue & Feng, Yanchao, 2023. "Assessing the environmental effects of the supporting policies for mineral resource-exhausted cities in China," Resources Policy, Elsevier, vol. 85(PB).
    10. Artur Pollak & Agata Hilarowicz & Maciej Walczak & Damian Gąsiorek, 2020. "A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    11. Siying Chen & Zhixiong Tan & Maozhi Chen & Jingwei Han, 2024. "Knowledge Mapping of Tourism Footprint: A Bibliometric Review Based on CiteSpace," SAGE Open, , vol. 14(2), pages 21582440241, June.
    12. Sun, Jiaqin & Fan, Ruguo & Luo, Ming & Zhang, Yingqing & Dong, Lili, 2018. "The evolution of cooperation in spatial prisoner’s dilemma game with dynamic relationship-based preferential learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 598-611.
    13. Xue, Pengcheng & Du, Jianhua & Liu, Jiaxin & Li, Zhipeng & Albahooth, Bayan & Yang, Yiting, 2023. "Natural resources and economic perspective: Manufacturing value added for Europe and Central Asian economies," Resources Policy, Elsevier, vol. 86(PA).
    14. John Mugambwa Serumaga-Zake & John Andrew van der Poll, 2021. "Addressing the Impact of Fourth Industrial Revolution on South African Manufacturing Small and Medium Enterprises (SMEs)," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    15. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    16. Hossain, Mohammad Razib & Rej, Soumen & Awan, Ashar & Bandyopadhyay, Arunava & Islam, Md Sayemul & Das, Narasingha & Hossain, Md Emran, 2023. "Natural resource dependency and environmental sustainability under N-shaped EKC: The curious case of India," Resources Policy, Elsevier, vol. 80(C).
    17. Xunjie Gou & Zeshui Xu & Xinxin Wang & Huchang Liao, 2021. "Managing consensus reaching process with self-confident double hierarchy linguistic preference relations in group decision making," Fuzzy Optimization and Decision Making, Springer, vol. 20(1), pages 51-79, March.
    18. Kedar Pandurang Joshi & Amol Dhaigude, 2021. "Revenue management for homestay with TODIM-integrated EMSR-b," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 134-148, April.
    19. Ma, Guanhua & Ma, Junhua & Li, Hao & Wang, Yiming & Wang, Zhaohua & Zhang, Bin, 2022. "Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce," Energy Policy, Elsevier, vol. 165(C).
    20. Destek, Mehmet Akif & Adedoyin, Festus & Bekun, Festus Victor & Aydin, Sercan, 2023. "Converting a resource curse into a resource blessing: The function of institutional quality with different dimensions," Resources Policy, Elsevier, vol. 80(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5950-:d:1110910. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.