Consumer learning behavior in choosing electric motorcycles

Sung, Yen-Ching

doi:10.1080/03081061003643747

Cited by 11 publications

(4 citation statements)

References 26 publications

(27 reference statements)

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“…This indicates that when consumers believe that EVs are more beneficial at the individual, environment or national level, or they believe that the usage of these vehicles is simpler and more convenient, they will show a more willingness to adopt or buy such vehicles. In the similar disposition, individuals with high levels of product knowledge with sufficient information may reduce the potential risks, which could considerably improve their behavioural intentions to adopt EVs (Wang et al, 2018;Sung, 2010). Therefore, subjective knowledge of product may enable consumers to fine-tune their strategy to avoid the risk related to the adoption of such product.…”

Section: Knowledge About Electric Vehiclesmentioning

confidence: 99%

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

Jaiswal

Kant

Singh

et al. 2021

BIJ

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PurposeThe use of electric vehicles has received popularity as alternative fuel vehicles to reduce greenhouse gas emissions and energy cost, which are expected to perform a crucial role in the near future of emerging mobility markets. The purpose of this empirical study is to analyse the role of electric vehicle knowledge in predicting consumer adoption intention directly and indirectly in the backdrop of an emerging market.Design/methodology/approachThe study approached an extended version of “Technology acceptance model” (TAM) based on the integrated framework of “knowledge-beliefs-intention”. The model was tested via direct and indirect path analyses with the data collected from Indian respondents using an online survey.FindingsThe results indicate the robustness of the present research model, which shows that consumer adoption is significantly driven by electric vehicle knowledge, perceived usefulness, perceived ease of use and perceived risk. Electric vehicle knowledge has emerged as the most powerful cognitive measure, which directly affects the adoption intention along with the measures of “TAM”. Additionally, this also poses a higher indirect effect on adoption intention in the integrated model.Research limitations/implicationsThe study has focused on potential young and educated consumers, which may not be warranted to generalise the research findings, while youth or millennials are more receptive to adopt innovative and clean technology products like electric vehicle. Based on the findings, implications are offered for encouraging electric vehicles in the backdrop of emerging automobile markets.Originality/valueConcerning this cognitive phenomenon of knowledge, scant literature has been explored the role of subjective knowledge in consumer adoption for electric vehicles, particularly in the emerging markets like India. Thus, the present study analyses how consumers' knowledge about electric vehicle affects their decision to adopt this in the near future of Indian zero-emission mobility market.

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Section: Knowledge About Electric Vehiclesmentioning

confidence: 99%

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

Jaiswal

Kant

Singh

et al. 2021

BIJ

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“…They found that males' and females' perceptions toward such choice decisions vary significantly. In another Taiwan-based research study, Sung et al [28] employed a Bayesian learning model to understand the consumers' choice behavior for E2Ws. They found the quality of E2Ws to be a guiding attribute.…”

Section: Literature Review and Research Scopementioning

confidence: 99%

“…This methodology would provide insights to both manufacturers and prospective users for informed decision-making specific to E2W. The majority of the past studies in the context of E2W in general, and E2W attribute valuation, in particular, has been taken up in developed countries such as China [62], USA [14,63], and Norway [64] or countries where E2W is already a popular or established mode of transport such as Taiwan [28,65] and Indonesia [11]; however, due to the significant difference in the transport and socio-economic characteristics of commuters, results derived from such studies cannot be directly applicable to a country such as India, where E2W is at its nascent stage. Hence, this methodology and related findings would be a distinct contribution to the body of E2W commuting specific research literature in general, in the context of India in particular.…”

mentioning

confidence: 99%

Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective

et al. 2021

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Electric two-wheelers (E2W) can help de-carbonize transport in Indian cities. To promote E2W as an attractive alternative compared to the conventional two-wheelers, an investigation on prospective users’ choice decisions is necessary. This paper proposed a comprehensive methodology to evaluate the prospective users’ choice decision toward electric two-wheelers and related attributes in the Indian context. In this paper, attributes such as Operating Cost (OC) savings, top speed, range, charging duration, acceleration, and purchase cost were considered to design a Stated Preference (SP) survey to collect data from prospective E2W users in Hyderabad, India. Concurrently, multinomial logit (MNL) and random parameter logit (RPL) models are developed, and the willingness-to-pay (WTP) associated with each of the identified attributes was estimated. Additionally, the effect of socio-economic characteristics on prospective users’ choice decision was also assessed. Subsequently, a sensitivity analysis was carried out to estimate the relative influence of the attributes on an individual’s choice decision in terms of the shift in probability to choose alternatives with better attribute levels than the base alternative. The results revealed that top speed was perceived as the most important attribute influencing an individual’s choice decision, followed by acceleration and charging duration. Age, income, and journey time significantly influenced an individual’s perception toward E2W and related attributes in the Indian context.

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“…The environmental gains related to electrification of large urban motorized two‐wheeler vehicle fleets have been demonstrated by the outcomes of several research studies (Amjad et al ; Sung ; Weinert et al ); however, none has considered the life cycle environmental burden of the urban charging network for E2Ws, even though they constitute the most successful electric‐drive market in the world (Weinert et al ).…”

Section: Introductionmentioning

confidence: 99%

Environmental Impact of Public Charging Facilities for Electric Two‐Wheelers

Mendoza¹,

Josa²,

Rieradevall³

et al. 2015

J of Industrial Ecology

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The environmental characterization of the charging infrastructure required to operate electric vehicles (EVs) is usually overlooked in the literature. Only rudimentary life cycle inventories of EV charging facilities are available. This lack of information is especially noticeable in environmental studies of the environmental performance of electric two-wheelers (E2Ws), none of which have included an analysis of charging facilities, even though they constitute the most successful electric-drive market in the world. This article focuses on characterizing the life cycle of the global warming potential (GWP) and primary energy demand (PED) of two conventional charging facility designs that are widely implemented for charging E2Ws in public spaces. The relative environmental relevance of charging facilities per kilowatt-hour (kWh) supplied to E2Ws is determined by considering a range of use scenarios (variability in the service ratio) and the effect of upgrading the electricity mix to include more renewable energy sources. Savings of over 3 metric tons (tonnes) of carbon dioxide equivalent emissions and 56 equivalent gigajoules can be achieved by implementing an optimized charging facility design. The internalization of the relative environmental burden from the charging facility per kWh supplied to E2Ws can increase the GWP of E2Ws' use phase from 1% to 20% and the PED from 1% to 13%. Although the article focuses on one particular case scenario, the research is intended to provide complementary criteria for further research on the life cycle management of electric mobility systems. Thus, a series of factors that can influence the environmental performance of EV charging networks at the macro scale are discussed. Keywords:charging infrastructure electric vehicles electricity mix global warming potential industrial ecology life cycle assessment Supporting information is available on the JIE Web site

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Consumer learning behavior in choosing electric motorcycles

Cited by 11 publications

References 26 publications

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

Investigating the role of electric vehicle knowledge in consumer adoption: evidence from an emerging market

Evaluation of Prospective Users’ Choice Decision toward Electric Two-Wheelers Using a Stated Preference Survey: An Indian Perspective

Environmental Impact of Public Charging Facilities for Electric Two‐Wheelers

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