2019
DOI: 10.1016/j.techfore.2019.06.002
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Diffusion of alternative fuel vehicles considering dynamic preferences

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Cited by 31 publications
(10 citation statements)
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“…Also after using the derived information from the analysis, sales have been forecasted for different products of different product lines. By incorporating the concept of the product line for any brand helps them to achieve their goals in terms of more revenue and customer satisfaction as multi-generation is an on-going process which keeps on attracting customers (Oliveira et al 2019 ). Another major benefit of using product line is, when a product has reached the last stage of its life cycle that is in the declining stage, and then at the same time there are other products available in the market of that product line which helps in avoiding loss of customers (or business) from its competitors (Kamolsook et al 2019 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Also after using the derived information from the analysis, sales have been forecasted for different products of different product lines. By incorporating the concept of the product line for any brand helps them to achieve their goals in terms of more revenue and customer satisfaction as multi-generation is an on-going process which keeps on attracting customers (Oliveira et al 2019 ). Another major benefit of using product line is, when a product has reached the last stage of its life cycle that is in the declining stage, and then at the same time there are other products available in the market of that product line which helps in avoiding loss of customers (or business) from its competitors (Kamolsook et al 2019 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Considering past research focusing on PEVs, system-dynamic models, agent-based models, and discrete choice models are commonly used for explaining and predicting the diffusion of battery electric (BEV) and plug-in hybrid electric vehicles (PHEVs). System dynamic or simulation-based models also allow the researcher to account for policy feedback and dynamic preferences that are difficult to consider in choice models and thereby often ignored (17,18). On the other hand, based on disaggregated data, discrete choice models allow researchers to identify and analyze the factors that drive vehicle purchase behavior at the individual-or household-level and subsequently predict the market share of the alternative fuel technologies based on well-grounded consumer behavior theories (19)(20)(21).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Fourth, the "Struben and Sterman model" was adapted by Shepherd et al (2012) and interestingly incorporated the results of the DC model by Batley et al (2004). A more recent example is Oliveira et al (2019), who extended the "Struben and Sterman model" to investigate dynamic consumer preferences towards AFVs in the Portuguese market "by including two sets of utility functions for each attribute" (p. 88). In our view, the "Struben and Sterman model" stands out for its influence in the research community, reflected also in the number of citations.…”
Section: Literature Reviewmentioning
confidence: 99%