Development of a multi-scale model for customer perceived value of electric vehicles

Miao, Rui; Xu, Fasheng; Zhang, Kai; Jiang, Zhibin

doi:10.1080/00207543.2014.890757

Cited by 45 publications

(24 citation statements)

References 27 publications

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“…The approach is used to resolve multi-dimensional issues by pinpointing the interdependencies among criteria. It can also be used in ranking the criteria for long-term decision-making (Miao, Xu, Zhang, & Jiang, 2014; Seleem, Attia, & El-Assal, 2016). The output of DEMATEL takes the form of a digraph and a causal diagram, which highlight the effect of one factor on another (Lin, 2013).…”

Section: Methodsmentioning

confidence: 99%

Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics

Himanshu

Singh

Kumar

2020

Vision: The Journal of Business Perspective

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Despite the widespread use of financial reporting quality (FRQ) metrics, the literature provides little evidence regarding the prominence and causal relationships among them. The article provides empirical evidence on prioritizing FRQ metrics and examining the causal relationships among them. Through extensive literature review and expert inputs, 12 FRQ metrics were finalized and analysed using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. India, a developing country, was selected for empirical study. Empirical results indicate that opinion in auditors’ report is the most prominent metric to examine FRQ, followed by value relevance in the context of fair value accounting. A formal scientific categorization of the metrics into cause and effect groups has also been attempted. The causal relationships among FRQ metrics and their relative prominence would help in interpreting empirical studies, which employ these metrics. The study suggests that the stakeholders can focus on prominent FRQ metrics to examine FRQ of the reporting entity before taking their decisions.

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Section: Methodsmentioning

confidence: 99%

Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics

Himanshu

Singh

Kumar

2020

Vision: The Journal of Business Perspective

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“…There are also other core values in focus in this study: an LCGC car considered as a 'good' buy, and overall good value delivered by LCGC car. The researcher will defi ne what makes an LCGC car a good buy and what makes good value of an LCGC car (Miao et al, 2014), these are two also important values of buying an LCGC car.…”

Section: Low-cost Green Car (Lcgc)mentioning

confidence: 99%

“…In our study, we defi ned perceived value as Miao et al (2014) did. It consists of economical value in terms of cost-benefi t calculations, low-price value, simplicity (of the features), and environmental value.…”

Section: Relationship Between the Buyer's Motivation (Manifest) And Tmentioning

confidence: 99%

Motivation and Value of Low-Cost Green Car (Lcgc) Purchase Intention Across Generations

Windasari¹,

Bandung²

2019

JMCBEM

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The low-cost green car (LCGC) is becoming one of interesting research topics in the automobile industry along with its unique characteristics of a vehicle product, tax incentives, and industry growth. The characteristics of this green product and its economic value are ultimately shifting customer behavior. Therefore, an understanding of the purchase motivation and value perception is crucial to determine the purchase intention. Perceived value acted as a full experience that customers received as a combination of thinking and feeling dimensions which are consistent with the utilitarian and hedonic motivations. Besides, LCGC sales have also been growing recently from the fi rst car owner until more senior customers who are predicted to have different motivations and values across generations. This study explores the LCGC car purchase intention of 240 customers in Indonesia to fi nd relationships of buyers' motivation and perceived value to the LCGC purchase intention across generations X, Y, and Z. The result shows that hedonic motivation signifi cantly differs particularly between generation Y versus Z, and X versus Z. However, utilitarian motivation does not signifi cantly differ among generations. Further, perceived value also signifi cantly differs between generations X and Y.

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“…Besides, the column sum P n i¼1 a ij of the matrix A represents the total direct effect, which all factors i exert on the factor j. Compared with this, the total direct impact of factor i on all other factors j is described by the row sum P n j¼1 a ij of the matrix A [53,55]. To determine the direct and indirect interdependent relationships of the SFs, the total relation matrix T has to be calculated in the subsequent step [52].…”

Section: Dematelmentioning

confidence: 99%

Performance Management by Causal Mapping: An Application Field of Knowledge Management

Kölbel¹,

Ossadnik²,

Gergeleit³

2017

Knowledge Management Strategies and Applications

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As implied by the performance management (PM) concept, modern corporate management has to focus on cause-and-effect relationships underlying a firm´s financial performance generation. To determine the causes of financially desirable effects, subject-bound experiences and knowledge of employees, called tacit knowledge, should be realised. For this, knowledge management (KM) offers various elicitation techniques to reveal corporate-specific success factors (SFs) of financial performance generation from the corporate experts´implicit knowledge. The identified factors have to be organised within a network of cause-and-effect relationships. In this framework, PM can apply the instrument of mapping to structure the individually revealed knowledge, to aggregate and visualise it for the entire company. For a valid representation of the causal relationships, the subjective bias arising within the mentioned process has to be minimised. In the literature, a variety of mapping methods can be found that differ in their approaches and their level of significance. As such a method, causal mapping will be presented in this paper. For providing intersubjectivity, the decision-making trail and evaluation laboratory (DEMATEL) as a multi-criteria approach will be debated in the context of mapping as a research field.

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Development of a multi-scale model for customer perceived value of electric vehicles

Cited by 45 publications

References 27 publications

Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics

Prioritizing and Establishing Cause and Effect Relationships Among Financial Reporting Quality Metrics

Motivation and Value of Low-Cost Green Car (Lcgc) Purchase Intention Across Generations

Performance Management by Causal Mapping: An Application Field of Knowledge Management

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