Fully Charged: Process Acceptance of Different EV Charging Processes

Electric vehicles are a viable solution to mitigate the effects of pollution and energy security. A nonsufficient infrastructure and range anxiety hinder the adoption of EVs. E-mobility can be considered as a service system. Especially the underlying processes in this service system determine its success. Recently, inductive charging, which requires highly accurate positioning of the EV, has been proposed. Charging remains a frequent and unpleasant process for an EV driver.The aim of this study was to examine two different charging processes and to investigate their process acceptance as perceived by the EV driver. To this end, an experiment with 60 subjects was conducted using an EV prototype equipped with a novel magnetic pulse positioning system. Process acceptance was measured in its affective, cognitive and conative dimension. Results indicate that the two processes exhibit different acceptance levels. Thus, the results may increase the overall acceptance of the e-mobility service system.

[1]  Steven L. Alter,et al.  USF Scholarship: a digital repository @ Gleeson Library | Geschke Center , 2016 .

[2]  Werner Schmidt,et al.  Subject-Oriented Business Process Management , 2012, Springer Berlin Heidelberg.

[3]  J. Tukey Comparing individual means in the analysis of variance. , 1949, Biometrics.

[4]  Nils Masuch,et al.  A context-aware mobile accessible electric vehicle management system , 2011, 2011 Federated Conference on Computer Science and Information Systems (FedCSIS).

[5]  Adamantios Diamantopoulos,et al.  The C-OAR-SE procedure for scale development in marketing: a comment , 2005 .

[6]  Christof Weinhardt,et al.  Decision Support for Electric Vehicle Charging , 2012, AMCIS.

[7]  Freyr Sverrisson,et al.  Renewables 2014 : global status report , 2014 .

[8]  J. Rossiter,et al.  The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs , 2007 .

[9]  C. Cremer,et al.  Analysing the effectiveness of renewable energy supporting policies in the European Union , 2006 .

[10]  Richard Hung Business process management as competitive advantage: a review and empirical study , 2006 .

[11]  Claus Dethloff,et al.  Akzeptanz und Nicht-Akzeptanz von technischen Produktinnovationen , 2014 .

[12]  Nejila Parspour,et al.  Design of a 3 kW primary power supply unit for inductive charging systems optimized for the compatibility to receiving units with 20 kw rated power , 2014, 2014 4th International Electric Drives Production Conference (EDPC).

[13]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[14]  Björn Hildebrandt,et al.  Applying Demand Response Programs for Electric Vehicle Fleets , 2015, AMCIS.

[15]  Nigel Melville,et al.  Information Systems Innovation for Environmental Sustainability , 2010, MIS Q..

[16]  Wynne W. Chin,et al.  Looking Forward: Toward an Understanding of the Nature and Definition of IT Acceptance , 2007, J. Assoc. Inf. Syst..

[17]  Henry C. Lucas,et al.  The people side of systems : the human aspects of computer systems , 1977 .

[18]  Markus Cremer,et al.  New measurement results for the localization of UHF RFID transponders using an Angle of Arrival (AoA) approach , 2011, 2011 IEEE International Conference on RFID.

[19]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[20]  John R. Rossiter,et al.  The C-OAR-SE procedure for scale development in marketing , 2002 .

[21]  T WatsonRichard,et al.  Information systems and environmentally sustainable development , 2010 .