Users’ resistance towards radical innovations: The case of the self-driving car

By M. König, Lambert Neumayr. 2017

378 citations recorded by the source corpus.

Subfields: Automotive Engineering, Information Systems and Management, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d0c51680fcda8d20aee847b39042e2a7882f8aad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Information Systems and Management

In Management Science and Operations Research

Citations in the corpus

Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II (2019, methodology): “[13] showed that a VR-based serious games application can be used to significantly improve attention and memory functions in patients in cognitive rehabilitation.”
Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles (2018, background): “Concerns about the expense of driverless vehicles and fears about software failure and security are also commonplace (Fagnant & Kockelman, 2015; Konig & Neumayr, 2017; Kyriakidis, Happee, & de Winter, 2015; Schoettle & Sivak, 2014).”
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks (2018, background): “…store and transmit transaction and lifestyle data, AVs are attractive targets for hackers as such information can be sold for a ﬁ nancial gain, or these systems can be used to in ﬂ ict physical harm by extremists or used for illegal purposes by drug tra ﬃ ckers (König & Neumayr, 2017; Lee, 2017).”
A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “…level of knowledge of and experience with AVs (e.g., Berliner et al. 2019; Spurlock et al. 2019), and supported the notion that AVA is a function of an individual’s knowledge of and experience with AVs (e.g., Bennett et al. 2019; König & Neumayr 2017; Penmetsa et al. 2019; Sener et al. 2019).”
Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, background): “Apprehension [53] or motion sickness may limit the ability of passengers to engage in other activities or raise the disutility of travel [43,54].”
Metabarcoding From Microbes to Mammals: Comprehensive Bioassessment on a Global Scale (2020, background): “…ADOPTION OF NEXT-GENERATION BIOASSESSMENT: A PATH FORWARD Even as interest in DNA metabarcoding has risen (Figure 1A), there has been resistance toward its adoption, a phenomenon seen with other revolutionary technologies (Ram and Sheth, 1989; Claudy et al., 2015; König and Neumayr, 2017).”