Staying on convention or leapfrogging to eco-innovation?: Identifying early adopters of hydrogen-powered vehicles
DC Field | Value | Language |
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dc.contributor.author | Moon, HyungBin | - |
dc.contributor.author | Park, Stephen Youngjun | - |
dc.contributor.author | Woo, JongRoul | - |
dc.date.accessioned | 2022-02-17T14:40:52Z | - |
dc.date.available | 2022-02-17T14:40:52Z | - |
dc.date.created | 2022-02-09 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 0040-1625 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136112 | - |
dc.description.abstract | Hydrogen-powered vehicles or fuel cell electric vehicles (FCEV) are recognized as one of the leading innovations within sustainable technologies. However, to the best of our knowledge, only few studies have been conducted regarding the consumer's perspective of the product. This study focuses on analyzing the consumer's criteria and level behind their behavior regarding these vehicles to identify consumer segments that can be potential innovators and early adopters of FCEV. The K-means clustering method was employed to identify different consumer segments based on their chosen criteria. Next, consumer characteristics and their preferences were analyzed using a multinomial logit model to derive important marketing and policy implications. The result of the analysis indicates that 44.9% of the consumers consider FCEV as a potential alternative. These consumers consist of "Innovative luxury consumer group (6.2%)," "Advanced eco-friendly consumer group (12.6%)," and "Economy-oriented eco-friendly consumer group (26.1%)." Among the three groups, the "innovative and luxurious consumer group," who considered all traditional gasoline and diesel vehicles with FCEV, had the highest potential to leapfrog to FCEV. These findings can accelerate the diffusion of FCEVs if marketing strategies and policy plans are formulated according to suitable consumer segments. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.subject | ALTERNATIVE FUEL VEHICLES | - |
dc.subject | ELECTRICITY-GENERATION MIX | - |
dc.subject | WILLINGNESS-TO-PAY | - |
dc.subject | PLUG-IN HYBRID | - |
dc.subject | CONSUMER PREFERENCES | - |
dc.subject | DECISION-MAKING | - |
dc.subject | TASK COMPLEXITY | - |
dc.subject | INFORMATION SEARCH | - |
dc.subject | CHOICE EXPERIMENT | - |
dc.subject | ADOPTION | - |
dc.title | Staying on convention or leapfrogging to eco-innovation?: Identifying early adopters of hydrogen-powered vehicles | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Woo, JongRoul | - |
dc.identifier.doi | 10.1016/j.techfore.2021.120995 | - |
dc.identifier.scopusid | 2-s2.0-85108960211 | - |
dc.identifier.wosid | 000677579400005 | - |
dc.identifier.bibliographicCitation | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, v.171 | - |
dc.relation.isPartOf | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | - |
dc.citation.title | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | - |
dc.citation.volume | 171 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Public Administration | - |
dc.relation.journalWebOfScienceCategory | Business | - |
dc.relation.journalWebOfScienceCategory | Regional & Urban Planning | - |
dc.subject.keywordPlus | ADOPTION | - |
dc.subject.keywordPlus | ALTERNATIVE FUEL VEHICLES | - |
dc.subject.keywordPlus | CHOICE EXPERIMENT | - |
dc.subject.keywordPlus | CONSUMER PREFERENCES | - |
dc.subject.keywordPlus | DECISION-MAKING | - |
dc.subject.keywordPlus | ELECTRICITY-GENERATION MIX | - |
dc.subject.keywordPlus | INFORMATION SEARCH | - |
dc.subject.keywordPlus | PLUG-IN HYBRID | - |
dc.subject.keywordPlus | TASK COMPLEXITY | - |
dc.subject.keywordPlus | WILLINGNESS-TO-PAY | - |
dc.subject.keywordAuthor | Consumer preference | - |
dc.subject.keywordAuthor | Consumer profiling | - |
dc.subject.keywordAuthor | Hydrogen-powered vehicle | - |
dc.subject.keywordAuthor | Innovation diffusion | - |
dc.subject.keywordAuthor | Market segmentation | - |
dc.subject.keywordAuthor | Unsupervised machine learning approach | - |
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