An investigation of used electronics return flows: A data-driven approach to capture and predict consumers storage and utilization behavior

Waste Management

Volumn 36, Issue , 2015, Pages 305-315

  Sabbaghi, Mostafa ^a   Esmaeilian, Behzad ^b   Raihanian Mashhadi, Ardeshir ^c   Behdad, Sara ^a,c   Cade, Willie ^d  

^a UNIVERSITY AT BUFFALO   (United States)

^b Northeastern University   (United States)

^c the State University of New York   (United States)

^d PC Rebuilders and Recyclers Inc   (United States)

Author keywords

Consumer behavior; Design characteristics; Electronic waste; Machine learning

Indexed keywords

ELECTRONIC WASTE; ENVIRONMENTAL TECHNOLOGY; HARD DISK STORAGE; LEARNING SYSTEMS; MACHINE LEARNING; OBSOLESCENCE; PERSONAL COMPUTERS; PRODUCT DESIGN; WASTES;

DATA-DRIVEN APPROACH; DESIGN CHARACTERISTICS; ELECTRONIC WASTE (E WASTE); ENVIRONMENTAL STIMULI; FUNCTIONAL PRODUCTS; MACHINE LEARNING METHODS; ORIGINAL EQUIPMENT MANUFACTURERS; TECHNOLOGY EVOLUTION;

CONSUMER BEHAVIOR;

COMPUTER SIMULATION; CONSUMPTION BEHAVIOR; DATABASE; PROFITABILITY; RECYCLING; WASTE DISPOSAL; WASTE MANAGEMENT;

ARTICLE; COMMERCIAL PHENOMENA; COMPUTER; CONSUMER ATTITUDE; CONTROLLED STUDY; DATA BASE; ELECTRONIC UTILIZATION; ELECTRONIC WASTE; ELECTRONIC WASTE STORAGE; ELECTRONICS; ENVIRONMENT; HOUSEHOLD; LIFESTYLE; MACHINE LEARNING; PREDICTION; PROFIT; RECYCLING; STATISTICAL ANALYSIS; STIMULUS; TECHNOLOGY; UNITED STATES; ANALYSIS; MICROCOMPUTER; TIME; WASTE MANAGEMENT;

CHICAGO; ILLINOIS; UNITED STATES;

CHICAGO; CONSUMER BEHAVIOR; ELECTRONIC WASTE; MICROCOMPUTERS; RECYCLING; TIME FACTORS; WASTE MANAGEMENT;

EID: 84921433784     PISSN: 0956053X     EISSN: 18792456     Source Type: Journal    
DOI: 10.1016/j.wasman.2014.11.024     Document Type: Article

References (38)

1. Ali, L., Chan, Y.C., 2008. Impact of RoHS/WEEE-On Effective Recycling-Electronics System Integration. In: Electronics System-Integration Technology Conference, 2008. ESTC 2008. 2nd, pp. 521-524.
2. Babbitt C.W., Kahhat R., Williams E., Babbitt G.A. Evolution of product lifespan and implications for environmental assessment and management: a case study of personal computers in higher education. Environ. Sci. Technol. 2009, 43(13):5106-5112.
3. Babbitt C.W., Williams E., Kahhat R. Institutional disposition and management of end-of-life electronics. Environ. Sci. Technol. 2011, 45(12):5366-5372.
4. Beauvisage, T., 2009. Computer usage in daily life. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 575-584.
5. Bishop C.M. Pattern Recognition and Machine Learning 2006, vol. 1. Springer, New York.
6. Bouvier R., Wagner T. The influence of collection facility attributes on household collection rates of electronic waste: the case of televisions and computer monitors. Resour. Conserv. Recycl. 2011, 55(11):1051-1059.
7. Breivik K., Armitage J.M., Wania F., Jones K.C. Tracking the global generation and exports of e-waste. Do existing estimates add up?. Environ. Sci. Technol. 2014, 48(15):8735-8743.
8. Brown-West, B.M., Gregory, J.R., Kirchain, R.E., 2010. Modeling electronic waste recovery systems under uncertainty, Sustainable Systems and Technology (ISSST), 2010 IEEE International Symposium on. pp. 1-6.
9. Deng Y. What is the future of disk drives, death or rebirth?. ACM Comput. Surv. 2011, 43(3):23.
10. Duan, H., Miller, T.R., Gregory, J., Kirchain, R., Linnell, J., 2013. Quantitative Characterization of Domestic and Transboundary Flows of Used Electronics, Anal. Gener. Collect. Export United States. http://www.stepinitiative.org/tl_files/step/_documents/MITNCER%20US%20Used%20Electronics%20Flows%20Report.
11. EPA, National Strategy for Electronics Stewardship. (accessed 22.06.14). http://www.epa.gov/waste/conserve/materials/ecycling/taskforce/docs/strategy.pdf.
12. Gregory J.R., Kirchain R.E. A framework for evaluating the economic performance of recycling systems: a case study of North American electronics recycling systems. Environ. Sci. Technol. 2008, 42(18):6800-6808.
13. Guiltinan J. Creative destruction and destructive creations: environmental ethics and planned obsolescence. J. Bus. Ethics 2009, 89(1):19-28.
14. Hall, M., 2012. Paving the way for big hard drive capacity gains, 2012. http://storageeffect.media.seagate.com/2012/03/storage-effect/paving-the-way-for-big-hard-drive-capacity-gains/.
15. Hibbert K., Ogunseitan O.A. Risks of toxic ash from artisanal mining of discarded cellphones. J. Hazard. Mater. 2014.
16. Ibm.com, Chronological History of IBM. http://www-03.ibm.com/ibm/history/history/year_1956.html.
17. Jansson J. Consumer eco-innovation adoption: assessing attitudinal factors and perceived product characteristics. Bus. Strategy Environ. 2011, 20(3):192-210.
18. Jansson J., Marell A., Nordlund A. Green consumer behavior: determinants of curtailment and eco-innovation adoption. J. Consumer Mark. 2010, 27(4):358-370.
19. Kang H.-Y., Schoenung J.M. Electronic waste recycling: a review of U.S. infrastructure and technology options. Resour. Conserv. Recycl. 2005, 45(4):368-400.
20. Kang H.-Y., Schoenung J.M. Economic analysis of electronic waste recycling: modeling the cost and revenue of a materials recovery facility in California. Environ. Sci. Technol. 2006, 40(5):1672-1680.
21. Kolias K., Hahladakis J.N., Gidarakos E. Assessment of toxic metals in waste personal computers. Waste Manage. 2014, 34(8):1480-1487.
22. Kwak M., Behdad S., Zhao Y., Kim H., Thurston D. E-waste stream analysis and design implications. J. Mech. Des. 2011, 133(10):101003.
23. 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. 2012, 22(1):11-18.
24. Low J.S.C., Lu W.F., Song B. Product structure-based integrated life cycle analysis (PSILA): a technique for cost modelling and analysis of closed-loop production systems. J. Clean. Prod. 2014, 70:105-117.
25. Milovantseva N., Saphores J.-D. E-waste bans and U.S. households' preferences for disposing of their e-waste. J. Environ. Manage. 2013, 124:8-16.
26. Milovantseva N., Saphores J.-D. Time bomb or hidden treasure? Characteristics of junk TVs and of the US households who store them. Waste Manage. 2013, 33(3):519-529.
27. Murphy K.P. Machine Learning: A Probabilistic Perspective 2012, MIT press.
28. Rose C.M. Design for Environment: A Method for Formulating Product End-of-Life Strategies 2000, Stanford University.
29. Saphores J.-D.M., Nixon H., Ogunseitan O.A., Shapiro A.A. How much e-waste is there in US basements and attics? Results from a national survey. J. Environ. Manage. 2009, 90(11):3322-3331.
30. Saphores J.-D.M., Ogunseitan O.A., Shapiro A.A. Willingness to engage in a pro-environmental behavior: an analysis of e-waste recycling based on a national survey of U.S. households. Resour. Conserv. Recycl. 2012, 60:49-63.
31. Short M. Taking back the trash: comparing European extended producer responsibility and take-back liability to us environment policy and attitudes. Vand. J. Transnat'l L. 2004, 37:1217.
32. Sthiannopkao S., Wong M.H. Handling e-waste in developed and developing countries: initiatives, practices, and consequences. Sci. Total Environ. 2013, 463-464:1147-1153.
33. Tuncuk A., Stazi V., Akcil A., Yazici E.Y., Deveci H. Aqueous metal recovery techniques from e-scrap: hydrometallurgy in recycling. Miner. Eng. 2012, 25(1):28-37.
34. U.S. State & Local Legislation, 2012. http://www.sustainelectronics.illinois.edu/policy/state.cfm#IL.
35. van Nes N., Cramer J. Influencing product lifetime through product design. Bus. Strategy Environ. 2005, 14(5):286-299.
36. Xu X., Yang H., Chen A., Zhou Y., Wu K., Liu J., Zhang Y., Huo X. Birth outcomes related to informal e-waste recycling in Guiyu, China. Reprod. Toxicol. 2012, 33(1):94-98.
37. Xu Q., Yu M., Kendall A., He W., Li G., Schoenung J.M. Environmental and economic evaluation of cathode ray tube (CRT) funnel glass waste management options in the United States. Resour. Conserv. Recycl. 2013, 78:92-104.
38. Yu L., He W., Li G., Huang J., Zhu H. The development of WEEE management and effects of the fund policy for subsidizing WEEE treating in China. Waste Manage. 2014, 34(9):1705-1714.