Predicting Purchase Intention towards Battery Electric Vehicles: A Case of Indonesian Market DOI Creative Commons
Ade Febransyah

World Electric Vehicle Journal, Journal Year: 2021, Volume and Issue: 12(4), P. 240 - 240

Published: Nov. 12, 2021

The emergence of electric vehicles (EV) is inevitable. In Indonesia, EVs in various forms have been introduced to the market. However, adoption EV Indonesian market still negligible. purpose this paper make an early prediction consumers’ purchase intentions towards EV, particularly battery (BEV), Indonesia. A multi-criteria decision model based on analytic network process (ANP) approach has proposed. There are several main criteria used explain purchase/don’t BEV, namely functionality, emotion, cost ownership, and car identity. Through a series pairwise comparisons involving number target customers senior level professionals, their BEV predicted. results study show that these wealthy, highly educated consumers moderate preference purchasing BEV. Their intention influenced by as follows: emotion (42.64%), functionality (25.94%), identity (21.87%), ownership (9.55%). Even though invited do not represent mass market, findings could help makers Indonesia choose who adopters find product-market fit order accelerate vehicles.

Language: Английский

Product bundling for accelerating electric vehicle adoption: A mixed-method empirical analysis of Swiss customers DOI Creative Commons

Jana Plananska,

Karoline Gamma

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 154, P. 111760 - 111760

Published: Nov. 6, 2021

The adoption of electric vehicles (EVs) is accelerating. Knowing which factors determine EV purchases among the first innovative adopters, we now need to understand preferences wider customer segments that are currently entering market. bundling EVs with additional services one strategy for fostering latter. Early studies have shown potential this marketing increasing acceptance. However, they often do not empirically test identified bundles; no investigation date has analyzed effect most commonly applied bundle in practice – and charging services. We address gap create relevant insights academia by conducting an online study Swiss adopters. two empirical approaches: a between-subject design experiment essential type on purchase willingness, choice identify preferred individual segments. find increases willingness respondents little prior knowledge EVs. three name Tech-oriented Convenience-oriented Likely non-adopters. They differ importance scores part-worth utilities attach attribute levels general preferences. Based these results, provide recommendations policy regarding how promote utilize bundles foster later groups propose avenues further research.

Language: Английский

Citations

28
Customer Perceived Risk Measurement with NLP Method in Electric Vehicles Consumption Market: Empirical Study from China DOI Creative Commons
Tao Shu, Zhiyi Wang, Lin Ling

et al.

Energies, Journal Year: 2022, Volume and Issue: 15(5), P. 1637 - 1637

Published: Feb. 22, 2022

In recent years, as people’s awareness of energy conservation, environmental protection, and sustainable development has increased, discussions related to electric vehicles (EVs) have aroused public debate on social media. At some point, most consumers face the possible risks EVs—a critical psychological perception that invariably affects sales EVs in consumption market. This paper chooses deconstruct customers’ perceived risk from third-party comment data media, which better coverage objectivity than questionnaire surveys. order analyze a large amount unstructured text data, natural language processing (NLP) method based machine learning was applied this paper. The measurement results show 15 abstracts five consumer EVs. Among them, largest number comments is “Technology Maturity” (A13) reached 25,329, belongs “Performance Risk” (PR1) dimension, indicating customers are concerned about performance Then, “Social (PR5) abstract Needs” (A51) received only 3224 “Preference Trust Rank” (A52) 22,324 comments; noticeable gap indicated changes how risks. Moreover, each dimension’s emotion analysis showed negative emotions more 40%, exceeding neutral or positive emotions. Importantly, strongest “Time (PR4), accounting for 54%. On finer scale, top three “Charging Time” (A42), “EV Charging Facilities” (A41), “Maintenance Value” (A33). Another interesting result (A51)’s emotional were larger comments. provides substantial evidence theory research by new methods. It can provide novel tool multi-dimensional fine-granular capture Thus, it potential help government enterprises adjust promotional strategies timely manner reduce higher emotions, accelerating EVs’ market China.

Language: Английский

Citations

19
Which promotion policy can drive people to install residential rooftop PV systems? -An empirical study based on TAM model DOI
Zheng Meng, Shali Wang, Jiaxi Wu

et al.

Energy Efficiency, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
Switching gears: an in-depth understanding of electric vehicle adoption using the confluence approach of PLS-SEM and necessary condition analysis DOI
Mei Peng Low, Kin Leong Tang, Jeffrey Boon Hui Yap

et al.

Management of Environmental Quality An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Purpose This study aims to examine the motivation purchase electric vehicles (EVs) using theory of planned behaviour (TPB) with environmental concern modelled as a mediator. Additionally, applies necessity logic identify “should-have” and “must-have” factors for EV adoption. Design/methodology/approach A quantitative research design was adopted data gathered from patrons various outlets online car forums purposive sampling technique. The model tested partial least squares structural equation modelling, while necessary condition analysis (NCA) employed determine conditions Findings results show positive significant relationships among TPB variables (i.e. attitude, perceived behavioural control subjective norm) on purchasing behaviour. NCA reveal all identified motivators, varying degrees minimum thresholds. Research limitations/implications focuses current influencing adoption, which may evolve field EVs advances. With rapid growth technology, including emerging features like autonomous driving, future should consider these advancements remain relevant. this is context-specific, findings not be generalizable across different regions or markets, warranting further investigation into other cultural economic contexts. Practical implications provide actionable insights marketers policymakers aiming enhance adoption by understanding both sufficiency that drive consumer Originality/value contributes literature exploring in an economy, emphasizing integration complements sufficiency-based findings, offering new policymakers.

Language: Английский

Citations

0
Predicting Purchase Intention towards Battery Electric Vehicles: A Case of Indonesian Market DOI Creative Commons
Ade Febransyah

World Electric Vehicle Journal, Journal Year: 2021, Volume and Issue: 12(4), P. 240 - 240

Published: Nov. 12, 2021

The emergence of electric vehicles (EV) is inevitable. In Indonesia, EVs in various forms have been introduced to the market. However, adoption EV Indonesian market still negligible. purpose this paper make an early prediction consumers’ purchase intentions towards EV, particularly battery (BEV), Indonesia. A multi-criteria decision model based on analytic network process (ANP) approach has proposed. There are several main criteria used explain purchase/don’t BEV, namely functionality, emotion, cost ownership, and car identity. Through a series pairwise comparisons involving number target customers senior level professionals, their BEV predicted. results study show that these wealthy, highly educated consumers moderate preference purchasing BEV. Their intention influenced by as follows: emotion (42.64%), functionality (25.94%), identity (21.87%), ownership (9.55%). Even though invited do not represent mass market, findings could help makers Indonesia choose who adopters find product-market fit order accelerate vehicles.

Language: Английский

Citations

27