Abstract
The main factor for growth in a globalised and highly competitive world is to have an innovative and continuous improvement for the new technologies; however, it is difficult to guarantee the success of such factor without considering the human nature of the people. The Unified Theory of Acceptance and Use of Technology (UTAUT2) is a model that has been used for years to help us understand the drivers of acceptance of new information technologies by its users. This paper presents the Actor-Network Theory (ANT) as a framework to analyse external variables influencing technology acceptance. We have identified a new construct and moderating factor enabling the extension of the UTAUT2. The scenario used to conduct our investigation is the Autonomous Vehicle (AV) which is a disruptive technology and may prove to be the next big evolution in personal transportation. The study was conducted using an anonymous survey, over 410 responses so far, and numerous interviews with experts in the field of sociology, psychology and computer science in order to refine the proposed model. Our research findings reveal not only the usefulness of ANT in developing an understanding the human and non-human actants playing a role in consumer’s behavioural intention of using AV, but ANT also helps us to argue that culture is a direct determinant of behavioural intention and social class is a very important moderating aspect.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
ERTRAC. Automated Driving Roadmap: Status 3rd Draft for public consultation (2015)
Wei, J., et al.: Towards a viable autonomous driving research platform. In: IV Intelligent Vehicles Symposium (2013)
Kuderer, M., Gulati, S., Burgard, W.: Learning driving styles for autonomous vehicles from demonstration. In: IEEE International Conference on Robotics & Automation (ICRA), Seattle (2015)
Cowan Schwartz, R.: More Work for Mother: The Ironies of Household Technology from the Open Hearth to the Microwave. Basic Books, New York (1983)
Norman, D.: The Design of Everyday Things. Doubleday, New York (1990)
Lyytinen, K., Rose, G.: Disruptive information system innovation: the case of internet computing. Inf. Syst. J. 13, 301–330 (2003)
Lyytinen, K., Rose, G.: The disruptive nature of it innovations: the case of internet computing in systems development organizations. MIS Q. 27(4), 557–595 (2003b)
Christensen, C.: The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business School Press, Cambridge (1997)
Seba, T.: Clean Disruption of Energy and Transportation. Milton Keynes (2014)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)
Venkatesh, V., Thong, J.Y.L., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)
Davis, F.D., Bagozzi, R., Warshaw, P.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35, 982–1003 (1989). doi:10.1287/mnsc.35.8.982
Davis, F., Bagozzi, R., Warshaw, P.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)
Ajzen, I.: Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J. Appl. Soc. Psychol. 32, 665–683 (2002)
Taylor, S., Todd, P.: Assessing it usage: the role of prior experience. MIS Q. 19(4), 561–570 (1995a)
Taylor, S., Todd, P.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6, 144–176 (1995b)
Thompson, R.L., Higgins, C.A., Howell, J.M.: Personal computing: toward a conceptual model of utilization. MIS Q. 15(1), 125–143 (1991)
Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)
Compeau, D.R., Higgins, C.A., Huff, S.: Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Q. 23(2), 145–158 (1999)
San Martin, H., Herrero, A.: Influence of the user’s psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework. Tourism Manage. 33(2), 341–350 (2012). doi:10.1016/j.tourman.2011.04.003
Gruzd, A., Staves, K., Wilk, A.: Connected scholars: examining the role of social media in research practices of faculty using the UTAUT model. Comput. Hum. Behav. 28, 2340–2350 (2012)
World Health Organization, World report on road traffic injury prevention, Geneva (2004). http://whqlibdoc.who.int/publications/2004/9241562609.pdf?ua=1. Accessed 26 June 2015
Garvin, A.D., Roberto, A.M.: Change through persuasion. Harvard Bus. Rev. 83, 104–112 (2005)
KPMG. Connected and Autonomous Vehicles - The Economic opportunity, s.l., SMMT Driving the motor industry (2015)
Stanley, M.: Autonomous Cars: Self-Driving the New Auto Industry Paradigm, s.l., Morgan Stanley Blue paper (2013)
Hoogendoorn, R., et al.: Towards safe and efficient driving through vehicle automation: the Dutch automated vehicle initiative (2013)
Jóhannesson, G.T.: Tourism translations, actor-network theory and tourism research. Tourist Stud. 5(2), 133–150 (2005)
Rhodes, J.: Using actor-network theory to trace an ICT (telecenter) implementation trajectory in an African women’s micro-enterprise development organization. USC Annenberg School for Communication 5(3), pp. 1–20 (2009)
Alcadipani, R., Hassard, J.: Actor-network theory, organizations and critique: towards a politics of organizing. Organization 17(4), 419–435 (2010)
Arnaboldi, M., Spiller, N.: Actor-network theory and stakeholder collaboration: the case of cultural districts. Tourism Manage. 32(3), 641–654 (2011)
Cohen, E., Cohen, S.A.: Current sociological theories and issues in tourism. Annals of Tourism Research (2012). http://dx.doi.org/10.1016/j.annals.2012.07.009
Latour, B.: Reassembling the Social: An Introduction to Actornetwork-Theory. Clarendon Lectures in Management Studies. Oxford University Press, New York (2005)
Latour, B.: The Powers of association. In: Law, J. (ed) Power, action and belief: A new Sociology of Knowledge? Sociological Review Monograph, vol. 32, pp. 264–280. Routledge & Kegan Paul, London (1986)
Latour, B.: The prince for machines as well as for machinations. In: Elliott, B. (ed) Technology and Social Process. Edinburgh University Press, Edinburgh, pp. 20–43 (1988b)
Latour, B.: Technology is society made durable. In: Law, J. (ed.) A Sociology of Monsters. Essays on Power, Technology and Domination, pp. 103–131. Routledge, London (1991)
Latour, B.: We Have Never Been Modern. Harvester Wheatsheaf, Hemel Hempstead (1993)
Latour, B.: On actor-network theory—a few clarifications. Soziale Welt-Zeitschrift fur Sozialwissenschaftliche forschung und praxis 47(4), 369 (1996)
Latour, B., Woolgar, S.: Laboratory Life, The Social Construction of Scientific Facts, New Edition edn. Princeton University Press, Princeton (1986)
Garrety, K.: Actor Network Theory. In: Hasan, H. (ed.) Being Practical with Theory: A Window into Business Research. University of Wollongong, Wollongong (2014)
Callon, M.: Some elements of a sociology of translation: domestication of the scallops and the fishermen of St Brieuc bay’. In: Law, J. (ed) Power, Action & Belief: A New Sociology of Knowledge? Routledge & Kegan Paul, London, pp. 196–229 (1986b)
Dolwick, J.S.: The social and beyond: introducing actor-network theory. J. Marit. Archaeol. 4(1), 21–49 (2009)
Law, J.: Making a mess with method (2003). http://www.lancs.ac.uk/fass/sociology/papers/law-making-a-mess-with-method.pdf
Tatnall, A., Burgess, S.: Using actor-network theory to research the implementation of a B-B portal for regional SMEs in Melbourne, Australia. In: 15th Bled Electronic Commerce Conference, Slovenia, 17-19 June (2002)
Tatnall, A., Gilding, A.: Actor-network theory and information systems research. In: Proceedings of the 10th Australasian Conference on Information Systems (ACIS), Wellington, Victoria University of Wellington (1999)
Van Der Duim, R., Henkens, R.: Wetlands, poverty reduction and sustainable tourism development, opportunities and constraints, Wageningen, the Netherlands, Wetlands International (2007)
Paget, E., Dimanche, F., Mounet, J.P.: A tourism innovation case: an actor-network approach. Ann. Tourism Res. 37(3), 828–847 (2010)
Ritzer-Encyclopedia (2004). www.sagepub.com/upm-data/5222_Ritzer_Entries_beginning_with_.A_%5B1%5D.pdf. Accessed 2 Nov 2015
Rodger, K.J.: Wildlife tourism and the natural sciences: bringing them together. Ph.D. Thesis, School of Environmental Science, Division of Science and Engineering, Murdoch University, Perth, Western Australia (2007)
McLean, C., Hassard, J.: Symmetrical absence/symmetrical absurdity: critical notes on the production of actor-network accounts. J. Manage. Stud. 41(3), 493–519 (2004). doi:10.1111/j.1467-6486.2004.00442.x. Publication link:a2df43f6-178d-4c31-88e5-f61c0ebd2d14
Burgess, J., Clark, J., Harrison, C.M.: Knowledge in action: an actor network analysis of a wetland agri-environment scheme. Ecol. Econ. 35(1), 119–132 (2000)
Dodds, W.B., Monroe, K.B., Grewal, D.: Effect of price, brand and store information on buyers’ product evaluations. J. Market. Res. 28(3), 307–319 (1991)
Limayem, M., Hirt, S.G., Cheung, C.M.K.: How habit limits the predictive power of intention: the case of information systems continuance. MIS Q. 31(4), 705–737 (2007)
Yi, M.Y., Jackson, J.D., Park, J.S., Probst, J.C.: Understanding information technology acceptance by individual professionals: toward an integrative view. Inf. Manage. 43, 350–363 (2006)
Connor, M.: Automobile sensors may usher in self-driving cars. Ed. Margery Connor. N.p., 26 May 2011. http://www.edn.com/design/automotive/4368069/Automobile-sensors-may-usher-in-self-driving-cars. Accessed 09 Sep 2016
Olarte, O.: Human error accounts for 90% of road accidents. driver risk management solutions (2011). http://www.alertdriving.com/home/fleet-alert-magazine/international/human-error-accounts-90-road-accidents/. Accessed 09 Sep 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Seuwou, P., Banissi, E., Ubakanma, G., Sharif, M.S., Healey, A. (2016). Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. In: Jahankhani, H., et al. Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017. Communications in Computer and Information Science, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-319-51064-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-51064-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51063-7
Online ISBN: 978-3-319-51064-4
eBook Packages: Computer ScienceComputer Science (R0)