The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Key drivers in the behavior of potential consumers of remanufactured products: a study on laptops in Spain
Open accessAbstract
Abstract Many companies have begun to implement end-of-use strategies (remanufacturing, recycling, and reuse) in response to worldwide concern about environmental issues. Simultaneously, academic research on remanufacturing has turned to focus on the analysis of activities from a supply perspective, i.e. , collection of end-of-use products, reverse logistics, disassembly, assembly, etc. Very little attention has been paid, however, to the demand side of remanufactured products, in particular, to the consumer profile of these products or to determining their most effective marketing strategies. Companies interested and involved in fostering the demand for remanufactured products need to be aware of the importance of knowledge of their potential consumers in order to most suitably manage their remanufacturing and marketing activities. Given this context, the principal objective of the present work was to make a first approach to determining basics characteristics of the profile of potential consumers of remanufactured products. To this end, an empirical analysis was conducted of the key variables underlying the purchase intentions of potential consumers in order to gain insight into the key drivers of that behavior. The instrument used was a questionnaire elaborated for application to potential consumers of a specific product (laptops) in two Spanish universities. The results revealed the drivers that explain the self-declared purchase intention of a remanufactured laptop, and provide managers of firms interested in implementing green initiatives in their supply chain with useful information for their consideration of closed-loop supply chains and for integrating marketing decisions concerning remanufactured products into the development of end-of-use strategies.
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Diamantopoulos, A., & Siguaw, J. A. (2006) · British Journal of Management · doi:10.1111/j.1467-8551.2006.00500.x · Cited by 3,410
The Predictive Sample Reuse Method with Applications
Geisser, S. (1975) · Journal of the American Statistical Association · doi:10.1080/01621459.1975.10479865 · Cited by 2,748
Cited by
Govindan, K., & Hasanagic, M. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1402141 · Cited by 1,522
A review of reverse logistics and closed-loop supply chains: a Journal of Cleaner Production focus
Govindan, K., & Soleimani, H. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.03.126 · Cited by 638
Consumption in the Circular Economy: A Literature Review
Camacho-Otero, J., Boks, C., & Pettersen, I. N. (2018) · Sustainability · doi:10.3390/su10082758 · Cited by 513
Remanufacturing for the Circular Economy: An Examination of Consumer Switching Behavior
Hazen, B. T., Mollenkopf, D. A., & Wang, Y. (2017) · Business Strategy and the Environment · doi:10.1002/bse.1929 · Cited by 429
Remanufacturing challenges and possible lean improvements
Kurilova-Palisaitiene, J., Sundin, E., & Poksinska, B. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.11.023 · Cited by 297
Metadata
- Authors
- Jiménez-Parra, B., Rubio, S., & Vicente-Molina, M.-A.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 85
- Pages
- 488-496
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2068913793
- Cited by
- 175
- References
- 4
- FWCI
- 21.64
- Type
- journal article
- Language
- en
- Open access
- green
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- Jiménez-Parra, B., Rubio, S., & Vicente-Molina, M.-A. (2014). Key drivers in the behavior of potential consumers of remanufactured products: a study on laptops in Spain. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2014.05.047
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