The rapid diffusion of electric vehicles (EVs) is weakening the conventional fuel tax base, creating new challenges for transport-energy taxation. Although South Korea does not currently tax EV charging electricity, such taxation is becoming increasingly relevant as EV adoption expands. This study examines consumer preferences for EV fuel-tax design by focusing on revenue recycling and tax salience, operationalized as the visibility of tax information on EV charging receipts. Using stated-preference data from a discrete choice experiment with South Korean adults aged 20–59, we estimate a mixed-mixed multinomial logit model capturing both discrete preference segments and continuous within-segment heterogeneity. A post-estimation multinomial logit analysis of individual-level salience coefficients identifies characteristics associated with relatively strong positive or negative preferences for tax salience. The results reveal two distinct segments. The majority shows positive preferences for tax salience and the revenue-use outcomes, whereas the minority is highly cost-sensitive and favors direct EV performance improvements. Stronger preferences for tax salience are associated with greater knowledge of the tax system, while negative preferences are associated with lower education and not currently driving. The results therefore represent conditional preferences among alternative EV fuel-tax designs, rather than acceptance of an EV fuel tax relative to no tax. The study provides policy-relevant insights into consumer preferences for EV fuel-tax design during the electric mobility transition.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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