Designing the appearance of environmentally sustainable products

Journal of Cleaner Production

Volumn 135, Issue , 2016, Pages 784-793

  Diego Mas, Jose Antonio ^a   Poveda Bautista, Rocio ^a   Alcaide Marzal, Jorge ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Design tools; Environmentally sustainable products; Product appearance; Product design

Indexed keywords

GENETIC ALGORITHMS; SUSTAINABLE DEVELOPMENT;

AFFECTIVE RESPONSE; DESIGN TOOL; ENVIRONMENTAL FRIENDLINESS; MODEL-BASED OPC; PRODUCT APPEARANCE; PRODUCT DESIGN PROCESS; SUSTAINABLE PRODUCTS; USERS' PERCEPTION;

PRODUCT DESIGN;

EID: 84989844133     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2016.06.173     Document Type: Article

References (70)

1. Albino, V., Balice, A., Dangelico, R.M., Environmental strategies and green product development: an overview on sustainability-driven companies. Bus. Strat. Environ. 18 (2009), 83–96, 10.1002/bse.638.
2. Allenby, G.M., Ginter, J.L., Using extremes to design products and segment markets. J. Mark. Res., 32, 1995, 392, 10.2307/3152175.
3. Artacho-Ramírez, M.A., Diego-Mas, J.A., Alcaide-Marzal, J., Influence of the mode of graphical representation on the perception of product aesthetic and emotional features: an exploratory study. Int. J. Ind. Ergon. 38 (2008), 942–952.
4. Atkinson, L., Rosenthal, S., Signaling the green sell: the influence of eco-label source, argument specificity, and product involvement on consumer trust. J. Advert. 43 (2014), 33–45, 10.1080/00913367.2013.834803.
5. Bloch, P.H., Seeking the ideal form: product design and consumer response. J. Mark., 59, 1995, 16, 10.2307/1252116.
6. Bonini, S.M.J., Hintz, G., Mendonca, L.T., Addressing consumer concerns about climate change. McKinsey Quaterly, 2008, 52–61.
7. Bonini, S.M.J., McKillop, K., Mendonca, L.T., What consumers expect from companies. McKinsey Quaterly, 2007, 11.
8. Brace, I., Questionnaire Design: How to Plan, Structure, and Write Survey Material for Effective Market Research. third ed., 2013 London.
9. Chambers, E., Wolf, M.B., Sensory Testing Methods. 2d ed., 1996, ASTM Manual Series: MNL 26.
10. Chen, C., Yan, W., An in-process customer utility prediction system for product conceptualisation. Expert Syst. Appl. 34 (2008), 2555–2567, 10.1016/j.eswa.2007.04.019.
11. Chen, C.-H., Khoo, L.P., Yan, W., A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network. Adv. Eng. Inform. 16 (2002), 229–240, 10.1016/S1474-0346(03)00003-X.
12. Chen, C.-H., Khoo, L.P., Yan, W., An investigation into affective design using sorting technique and Kohonen self-organising map. Adv. Eng. Softw. 37 (2006), 334–349, 10.1016/j.advengsoft.2005.07.001.
13. Chuang, M.C., Chang, C.C., Hsu, S.H., Perceptual factors underlying user preferences toward product form of mobile phones. Int. J. Ind. Ergon., 2001, 10.1016/S0169-8141(00)00054-8.
14. Chuang, M.-C., Ma, Y.-C., Expressing the expected product images in product design of micro-electronic products. Int. J. Ind. Ergon. 27 (2001), 233–245, 10.1016/S0169-8141(00)00053-6.
15. Creusen, M.E.H., Schoormans, J.P.L., The different roles of product apppearance in consumer choice. J. Prod. Innov. Manag. 22 (2005), 63–81.
16. Crilly, N., Moultrie, J., Clarkson, P.J., Seeing things: consumer response to the visual domain in product design. Des. Stud. 25 (2004), 547–577, 10.1016/j.destud.2004.03.001.
17. Dahan, E., Srinivasan, V., The predictive power of internet-based product concept testing using visual depiction and animation. J. Prod. Innov. Manag. 17 (2000), 99–109, 10.1111/1540-5885.1720099.
18. Dam, M., Saraf, D.N., Design of neural networks using genetic algorithm for on-line property estimation of crude fractionator products. Comput. Chem. Eng. 30 (2006), 722–729, 10.1016/j.compchemeng.2005.12.001.
19. Dasgupta, C.G., Dispensa, G.S., Ghose, S., Comparing the predictive performance of a neural network model with some traditional market response models. Int. J. Forecast 10 (1994), 235–244, 10.1016/0169-2070(94)90004-3.
20. Dawar, N., Parker, P., Marketing universals: consumers' use of brand name, price, physical appearance, and retailer reputation as signals of product quality. J. Mark. 58 (1994), 81–95, 10.2307/1252271.
21. Delmas, M.A., Burbano, V.C., The drivers of greenwashing. Calif. Manag. Rev. 54 (2011), 64–87, 10.1016/0737-6782(88)90039-2.
22. Desmet, P., A multilayered model of product emotions. Des. J. 6 (2003), 4–13, 10.2752/146069203789355480.
23. Diego-Mas, J.A., Alcaide-Marzal, J., Single users' affective responses models for product form design. Int. J. Ind. Ergon. 53 (2016), 102–114, 10.1016/j.ergon.2015.11.005.
24. Dupré, S., Talk the Walk : Advancing Sustainable Lifestyles through Marketing and Communications. 2005, United Nations Environment Programme, Paris.
25. Engel, J.F., Blackwell, R.D., Miniard, P.W., Consumer Behavior. eighth ed., 1995, Dryden Press, Fort Worth.
26. Engelbrektsson, P., Effects of product experience and product representations in focus group interviews. J. Eng. Des. 13 (2002), 215–221, 10.1080/09544820110108917.
27. Gershoff, A.D., Frels, J.K., What makes it green? the role of centrality of green attributes in evaluations of the greenness of products. J. Mark. 79 (2015), 97–110, 10.1509/jm.13.0303.
28. Goldberg, D.E., Genetic algorithms in search, optimization and machine learning. 1989, Addison-Wesley Longman Publishing Co., Inc, Boston, MA.
29. Han, S.H., Hong, S.W., A systematic approach for coupling user satisfaction with product design. Ergonomics 15 (2003), 13–14.
30. Han, S.H., Yun, M.Hwan, Kim, K.-J., Kwahk, J., Evaluation of product usability: development and validation of usability dimensions and design elements based on empirical models. Int. J. Ind. Ergon. 26 (2000), 477–488, 10.1016/S0169-8141(00)00019-6.
31. Hasdoǧan, G., The role of user models in product design for assessment of user needs. Des. Stud. 17 (1996), 19–33, 10.1016/0142-694X(95)00007-E.
32. Hassi, L., Kumpula, P., Visualizing green e product semantics as means of environmental communication. Proceedings of the 8th European Academy of Design Conference. Aberdeen, 2009.
33. Hoch, S.J., Kim, B., Montgomery, A.L., Rossi, P.E., Montgomery, L., Determinants of store-level price. J. Mark. Res. 32 (1995), 17–29, 10.2307/3152107.
34. Holbrook, M.B., Emotion in the consumption experience: toward a new model of the human consumer. Peterson, R.A., Hoyer, W.D., Wilson, W.R., (eds.) The Role of Affect in Consumer Behaviour: Emerging Theories and Applications, 1985 Lexington, MA, pp. 17–52.
35. Hosey, L., The Shape of Green: Aesthetics, Ecology, and Design. second ed., 2012, Island Press.
36. Hsiao, S.-W., Tsai, H.-C., Applying a hybrid approach based on fuzzy neural network and genetic algorithm to product form design. Int. J. Ind. Ergon. 35 (2005), 411–428, 10.1016/j.ergon.2004.10.007.
37. Hsu, S.H., Chuang, M.C., Chang, C.C., A semantic differential study of designers’ and users' product form perception. Int. J. Ind. Ergon. 25 (2000), 375–391, 10.1016/S0169-8141(99)00026-8.
38. Ishihara, S., Ishihara, K., Nagamachi, M., Matsubara, Y., An analysis of Kansei structure on shoes using self-organizing neural networks. Int. J. Ind. Ergon. 19 (1997), 93–104, 10.1016/S0169-8141(96)00006-6.
39. Karlsson, M., Kaulio, M., Hampf, J., Sperling, L., Eliciting customer requirements: product representations as mediating objects in focus group interviews. Proc. From 5th Int. Prod. Dev. Conf. Como, Italy, May 26–27, 1998.
40. Kim, Y., Street, W.N., Russell, G.J., Menczer, F., Customer targeting: a neural network approach guided by genetic algorithms. Manag. Sci., 2005, 10.1287/mnsc.1040.0296.
41. Lai, H.-H., Lin, Y.-C., Yeh, C.-H., Form design of product image using grey relational analysis and neural network models. Comput. Oper. Res. 32 (2005), 2689–2711, 10.1016/j.cor.2004.03.021.
42. Lai, H.-H., Lin, Y.-C., Yeh, C.-H., Wei, C.-H., User-oriented design for the optimal combination on product design. Int. J. Prod. Econ. 100 (2006), 253–267, 10.1016/j.ijpe.2004.11.005.
43. Lee Weisstein, F., Asgari, M., Siew, S.-W., Price presentation effects on green purchase intentions. J. Prod. Brand Manag. 23 (2014), 230–239, 10.1108/JPBM-06-2013-0324.
44. Leonidou, L.C., Leonidou, C.N., Kvasova, O., Antecedents and outcomes of consumer environmentally friendly attitudes and behaviour. J. Mark. Manag. 26 (2010), 1319–1344, 10.1080/0267257X.2010.523710.
45. Lin, P.-C., Huang, Y.-H., The influence factors on choice behavior regarding green products based on the theory of consumption values. J. Clean. Prod. 22 (2012), 11–18, 10.1016/j.jclepro.2011.10.002.
46. Lin, Y.-C., Lai, H.-H., Yeh, C.-H., Consumer-oriented product form design based on fuzzy logic: a case study of mobile phones. Int. J. Ind. Ergon. 37 (2007), 531–543, 10.1016/j.ergon.2007.03.003.
47. Luchs, M.G., Brower, J., Chitturi, R., Product choice and the importance of aesthetic design given the emotion-laden trade-off between sustainability and functional performance. J. Prod. Innov. Manag. 29 (2012), 903–916, 10.1111/j.1540-5885.2012.00970.x.
48. Luchs, M.G., Naylor, R.W., Irwin, J.R., Raghunathan, R., The sustainability liability: potential negative effects of ethicality on product preference. J. Mark. 74 (2010), 18–31, 10.1509/jmkg.74.5.18.
49. Mammasse, N., Schlich, P., Adequate number of consumers in a liking test. Insights from resampling in seven studies. Food Qual. Prefer. 31 (2014), 124–128, 10.1016/j.foodqual.2012.01.009.
50. Monroe, K.B., The influence of price on product perceptions and product choice. Adv. Consum. Res. 9 (1982), 206–209.
51. Murto, P., Person, O., Ahola, M., Shaping the face of environmentally sustainable products: image boards and early consumer involvement in ship interior design. J. Clean. Prod. 75 (2014), 86–95, 10.1016/j.jclepro.2014.03.078.
52. Nielsen, Sustainable Efforts & Environmental Concerns Around the World. 2011.
53. Nielsen, Doing Well by Doing Good. 2014.
54. Oja, E., Principal components, minor components, and linear neural networks. Neural Netw. 5 (1992), 927–935, 10.1016/S0893-6080(05)80089-9.
55. Pancer, E., McShane, L., Noseworthy, T.J., Isolated environmental cues and product efficacy penalties: the color green and eco-labels. J. Bus. Ethics, 2015, 1–19, 10.1007/s10551-015-2764-4 July 2015.
56. Park, J., Han, S.H., A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design. Int. J. Ind. Ergon. 34 (2004), 31–47, 10.1016/j.ergon.2004.01.006.
57. Peattie, K., Crane, A., Green marketing: legend, myth, farce or prophesy?. Qual. Mark. Res. Int. J. 8 (2005), 357–370, 10.1108/13522750510619733.
58. Principe, J.C., Euliano, N.R., Lefebvre, W., Neural and Adaptative Systems: Fundamentals Through Simulations. 2000, Wiley and Sons, New York.
59. Rex, E., Baumann, H., Beyond ecolabels: what green marketing can learn from conventional marketing. J. Clean. Prod. 15 (2007), 567–576, 10.1016/j.jclepro.2006.05.013.
60. Rumelhart, D.E., Hinton, G.E., Williams, R.J., Learning internal representations by error propagation. Rumelhart, D., McClelland, J.L., (eds.) Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 1986, The MIT Press, Cambridge, 318–362.
61. Sanger, T.D., Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Netw. 2 (1989), 459–473, 10.1016/0893-6080(89)90044-0.
62. Sarle, W.S., Stopped training and other remedies for overfitting. Proc. 27th Symp. Interface Comput. Sci. Stat., 1995, 352–360.
63. Savage, S.J., Waldman, D.M., Learning and fatigue during choice experiments: a comparison of online and mail survey modes. J. Appl. Econ. 23 (2008), 351–371, 10.1002/jae.984.
64. Schoormans, J.P.L., Ortt, R.J., de Bont, C.J.P.M., Enhancing concept test validity by using expert consumers. J. Prod. Innov. Manag. 12 (1995), 153–162, 10.1111/1540-5885.1220153.
65. SPSS_Inc, Clementine 12.0 Algorithms Guide. 2007.
66. Tsai, H.-C., Hsiao, S.-W., Hung, F.-K., An image evaluation approach for parameter-based product form and color design. Comput. Des. 38 (2006), 157–171, 10.1016/j.cad.2005.10.001.
67. Tseng, S.C., Hung, S.W., A framework identifying the gaps between customers' expectations and their perceptions in green products. J. Clean. Prod. 59 (2013), 174–184, 10.1016/j.jclepro.2013.06.050.
68. Vriens, M., Loosschilder, G., Rosbergen, E., Wittink, D.R., Verbal versus realistic pictorial representations in conjoint analysis with design attributes. J. Prod. Innov. Manag., 1998, 10.1111/1540-5885.1550455.
69. Yang, C.-C., Shieh, M.-D., A support vector regression based prediction model of affective responses for product form design. Comput. Ind. Eng. 59 (2010), 682–689, 10.1016/j.cie.2010.07.019.
70. Zafarmand, S.J., Sugiyama, K., Watanabe, M., Aesthetic and sustainability: the aesthetic attributes promoting product sustainability. J. Sustain. Prod. Des. 3 (2003), 173–186, 10.1007/s10970-005-6157-0.