scholarly journals Predicting Purchase Intention towards Battery Electric Vehicles: A Case of Indonesian Market

2021 ◽  
Vol 12 (4) ◽  
pp. 240
Author(s):  
Ade Febransyah

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

2021 ◽  
Vol 9 (5) ◽  
pp. 131-138
Author(s):  
Sang-Uk Jung ◽  
Nayoung Woo

In this study, the consumer types were divided into two groups: power and powerless. First, depending on the sense of power, the interaction effect between power and powerless was verified based on two types of weather: sunny and cloudy. Secondly, the purchase intention of luxury goods was examined as a dependent variable and the difference in purchase behavior patterns were observed. Lastly, based on the mood-congruent effect of consumer purchase intentions, it was confirmed that power influences weather, and the weather and mood are influenced by each other, as also manifested in empirical studies. In particular, the power group had a more significant effect than the powerless group, and the positive mood and weather played a big role for consumers’ intention to purchase luxury goods. Therefore, this study can contribute both theoretically and practically to prepare appropriate marketing strategy plans based on weather and consumer roles—power and powerless.


2020 ◽  
Vol 2 (2) ◽  
pp. 55-60
Author(s):  
Devi Septiani ◽  
Ahmad Ajib Ridlwan

Halal has become part of life world wide style that the service demand is advancing in the big scale of industrial and economic frame. This study aim is to determine the effects of halal certification and customers’ halal awareness of the intention to purchase halal food products. This study belongs to quantitative type with samples of 105 Muslim respondents. Accidental sampling is applied in sampling data. Four-point Likert scale questionnaire is utilized in data collecting which is analyzed with multiple linear regression techniques using SPSS 23 program. The results of this study indicate that halal certification variables and halal awareness both partially have positive effects on purchase intentions of halal food products. Meanwhile, the two variables simultaneously, namely halal certification and halal awareness, also have positive influences on the intention to purchase halal food products.


2019 ◽  
Vol 11 (11) ◽  
pp. 3164 ◽  
Author(s):  
Yueling Xu ◽  
Wenyu Zhang ◽  
Haijun Bao ◽  
Shuai Zhang ◽  
Ying Xiang

As part of the increasing efforts toward the prevention and control of motor vehicle pollution, the Chinese government has practiced a range of policies to stimulate the purchase and use of battery electric vehicles (BEVs). Zhejiang Province, a key province in China, has proactively implemented and monitored an environmental protection plan. This study aims to contribute toward streamlining marketing and planning activities to introduce strategic policies that stimulate the purchase and use of BEVs. This study considers the nature of human behavior by extending the theory of planned behavior model to identify its predictors, as well as its non-linear relationship with customers’ purchase intention. To better understand the predictors, a substantial literature review was given to validate the hypotheses. A quantitative study using 382 surveys completed by customers in Zhejiang Province was conducted by integrating a structural equation model (SEM) and a neural network (NN). The initial analysis results from the SEM revealed five factors that have impacted the customers’ purchase intention of BEVs. In the second phase, the normalized importance among those five significant predictors was ranked using the NN. The findings have provided theoretical implications to scholars and academics, and managerial implications to enterprises, and are also helpful for decision makers to implement appropriate policies to promote the purchase intention of BEVs, thereby improving the air quality.


2011 ◽  
Vol 11 (3) ◽  
pp. 47 ◽  
Author(s):  
William F. Grazer ◽  
Garland Kessling

Two convenience samples comprised of 230 male respondents participated in a study to measure the effect of sexual stimuli in print advertising on brand recall and intention to purchase. Using jeans and liquor products, the study suggests that the use of sexual stimuli in print advertisements does influence viewers brand recall and purchase intentions. However, the study was not able to conclusively argue that specific levels of sexual intensity were more effective across the two product categories.


2014 ◽  
Vol 1070-1072 ◽  
pp. 1600-1608 ◽  
Author(s):  
Jun Dong ◽  
Gui Yuan Xue ◽  
Bing Jing Wang

With the development of the electric vehicles, the planning and construction of the charging facilities rapidly grow. However, as a new thing, it is still in the early stage of development, accompanied with large uncertainty and high investment risk for enterprises. So it is a real problem to identify these risks and avoid them. The paper analyzes these risks using environmental scanning method for the first time and sums them up to 6 main risks: the policy and legal risks, the social risks, the economic risks, technology and industry risks, risks of resources and competence in enterprise; This paper also build a evaluation model based on fuzzy analytic network process. At last we put forward several coping strategies to some key risks. The work of this paper helps enterprises to identify risks of charging facilities and avoid them.


2016 ◽  
Vol 19 (2) ◽  
pp. 249 ◽  
Author(s):  
Endang Ruswanti ◽  
Benny Herlambang ◽  
Moehammad Unggul Januarko

Product cues have been identified as a major factor and are used by customers when they evaluate a product before deciding to buy. Customers evaluate products based on the product manual cues; generally, they use the brand, design and price, and produce quality perception and ceases on purchase intentions. This process also occurs in the prospective buyer's sport shoes X that have the largest sales in Indonesia. Therefore, the researchers are interested to test whether there is a relationship between the product cues on the quality perception and purchase intention for sports footwear products. This research was done by using a survey for the data collection, by distributing the questionnaires to 161 respondents. The data were analyzed using Structural Equation Modeling with Lisrel analysis tool. The result showed that the product cues have an influence mediated by the quality perception on purchase intentions. This study suggests that the perception of quality is as a full mediating variable between products cues and purchase intention.


2021 ◽  
Vol 12 (1) ◽  
pp. 81
Author(s):  
Olawale FATOKI

One of the major contributors to the relatively high levels of Greenhouse gas emissions in South Africa is road transportation. Electric vehicles (EVs) have been proposed as one of the solutions to this problem. However, the use of EVs is very limited in South Africa. Drawing on the Theory of Planned Behaviour (TPB), the study investigated the predictors of the intention to purchase EVs in South Africa. The study extended the TPB by adding three individual constructs (environmental consciousness, anticipated guilt and response efficacy) and two situational constructs (perceived benefits and perceived barriers). The cross-sectional survey method was used for data collection in a quantitative study. Descriptive statistics and structural equation modelling were used for data analysis. The results showed significant positive relationships between two TPB constructs (attitude and perceived behavioral control) and EV purchase intention. In addition, the effects of the environmental consciousness, response efficacy, perceived benefits and barriers are significant. Theoretically, the study extended the TPB to develop a model of EV purchase intention from the South African perspective. Empirically, the study added to the body of literature on the determinants of EV purchase intention. Practically, recommendations to improve the purchase of EVs are suggested.


2020 ◽  
Vol 11 (2) ◽  
pp. 30
Author(s):  
Florent Grée ◽  
Vitaliia Laznikova ◽  
Bill Kim ◽  
Guillermo Garcia ◽  
Tom Kigezi ◽  
...  

Battery Electric Vehicles (BEVs) have increasingly become prevalent over the past years. BEVs can be regarded as a grid load and as a way to support the grid (energy buffering), provided this extensive battery usage does not affect the BEV’s performance. Data from both the vehicle and the grid are required for effective Vehicle-to-Grid (V2G) implementation. As such, a cloud-based big data platform is proposed in this paper to exploit these data. Additionally, this study aims to develop smart algorithms, which optimise different factors, including BEV cost of ownership and battery degradation. Dashboards are developed to provide key information to different V2G stakeholders.


2020 ◽  
Vol 12 (20) ◽  
pp. 8361
Author(s):  
YunJu Kim ◽  
Jong Woo Jun

To promote more sustainable consumption of Social Networking Service (SNS) emojis, it is necessary to understand the relationships between social psychological antecedents and SNS users’ intention to purchase emojis. This study aimed to investigate motivational factors affecting users’ intentions to purchase SNS emojis. We examined SNS users of Kakao Talk, the most widely used instant messaging service in South Korea, and investigated the relationships among five latent constructs: Self-presentation, symbolic values, playfulness, purchase intentions, and need for uniqueness. The results of this study indicate that self-presentation does not directly affect the intention to purchase emojis (β = 0.10, p > 0.05). Rather, self-presentation positively influences purchase intention through the mediating path of SNS users’ perceived symbolic value (β = 0.60, p < 0.001) and playfulness (β = 0.35, p < 0.001) to purchase intention (β = 0.29, p < 0.001; β = 0.37, p < 0.001). Further, symbolic value affects playfulness (β = 0.56, p < 0.001), which in turn leads to consumers’ intentions to purchase emojis. This study highlights that SNS users’ need for uniqueness functions as a moderator in the relationship between self-presentation and their intentions to purchase emojis.


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