Factors Affecting RFID Subcutaneous Microchips Usage

Microchips are used for many years for different purposes. Nevertheless, recently applications of radio frequency identification technology have been progressed tremendously with the potential to permeate throughout society as valuable tool for enabling automatic identification and management. However, they are perceived as threats at several levels that impede its implementation. Most of the research discusses the adoption of Radio Frequency Identification (RFID) devices from the provider’s point of view. Thus, it would be of interest to examine the factors of RFID subcutaneous microchip (RFID-SM) usage, adoption and diffusion by individuals from various perspectives, particularly in developing countries. Knowledge upon the factors that drive RFID adoption is a crucial step in creating the policies required for its successful implementation. This quantitative, descriptive study investigated whether young people in Serbia would be willing to use subcutaneous microchip. Preliminary findings indicate that positive attitudes prevail for the perceived usefulness and ease of use, while suspicions of confidentiality and privacy are strong, and what is most surprising none of the respondents showed willingness to use microchip implants for everyday home activities. Since the process of individual users’ acceptance of technology is very complex, the full range of variables should be investigated from broader perspective.

[1]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[2]  Andrew Dillon,et al.  User acceptance of information technology , 2001 .

[3]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[4]  Minna Ruckenstein,et al.  Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles , 2014 .

[5]  Raul Morais,et al.  Instrumented hip implants: electric supply systems. , 2013, Journal of biomechanics.

[6]  Peter E. S. Freund,et al.  Civilised Bodies Redux: Seams in the Cyborg , 2004 .

[7]  R. Shroff,et al.  Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system , 2011 .

[8]  Pawel Rotter,et al.  RFID implants: Opportunities and and challenges for identifying people , 2008, IEEE Technology and Society Magazine.

[9]  Wouter Duyck,et al.  Teachers' acceptance and use of an educational portal , 2012, Comput. Educ..

[10]  Kenneth R. Foster,et al.  RFID Inside: The Murky Ethics of Implanted Chips , 2007 .

[11]  Yogesh Kumar Dwivedi,et al.  RFID systems in libraries: An empirical examination of factors affecting system use and user satisfaction , 2013, Int. J. Inf. Manag..

[12]  Andrina Granic,et al.  Technology acceptance model: a literature review from 1986 to 2013 , 2014, Universal Access in the Information Society.

[13]  C. Buse,et al.  E-scaping the ageing body? Computer technologies and embodiment in later life , 2010, Ageing and Society.

[14]  Charles Earl Smith,et al.  HUMAN MICROCHIP IMPLANTATION , 2008 .

[15]  J. Sachs,et al.  Test of the Technology Acceptance Model for a Web-Based Information System in a Hong Kong Chinese Sample , 2006, Psychological reports.

[16]  Yuri Álvarez López,et al.  RFID Technology for Management and Tracking: e-Health Applications , 2018, Sensors.

[17]  Özkan Kirmizi,et al.  Measuring Technology Acceptance Level of Turkish Pre-Service English Teachers by Using Technology Acceptance Model. , 2014 .

[18]  José Manuel Ortega Egea,et al.  Explaining physicians' acceptance of EHCR systems: An extension of TAM with trust and risk factors , 2011, Comput. Hum. Behav..

[19]  Gwo-Hshiung Tzeng,et al.  Improving RFID adoption in Taiwan's healthcare industry based on a DEMATEL technique with a hybrid MCDM model , 2013, Decis. Support Syst..

[20]  Jonathan H. Guy,et al.  Validation of an intramuscularly-implanted microchip and a surface infrared thermometer to estimate core body temperature in broiler chickens exposed to heat stress , 2017, Comput. Electron. Agric..

[21]  Robert Langer,et al.  First-in-Human Testing of a Wirelessly Controlled Drug Delivery Microchip , 2012, Science Translational Medicine.

[22]  Ari Juels,et al.  RFID security and privacy: a research survey , 2006, IEEE Journal on Selected Areas in Communications.

[23]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[24]  Ronald E. Rice,et al.  Public views of mobile medical devices and services: A US national survey of consumer sentiments towards RFID healthcare technology , 2009, Int. J. Medical Informatics.

[25]  Chao Xu,et al.  RFID Privacy Risk Evaluation Based on Synthetic Method of Extended Attack Tree and Information Feature Entropy , 2015, Int. J. Distributed Sens. Networks.

[26]  Martin J. Liu,et al.  Predicting RFID adoption in healthcare supply chain from the perspectives of users , 2015 .

[27]  Timothy Teo,et al.  Modelling the intention to use technology for teaching mathematics among pre-service teachers in Serbia , 2015 .

[28]  Katina Michael,et al.  Uberveillance and the Social Implications of Microchip Implants: Emerging Technologies , 2013 .

[29]  John Woollard,et al.  How is technology accepted by users? A review of technology acceptance models and theories , 2015 .

[30]  A. Baggia,et al.  Factors Affecting the Intentions to Use RFID Subcutaneous Microchip Implants for Healthcare Purposes , 2018 .

[31]  Patrick Ajibade,et al.  Technology Acceptance Model Limitations and Criticisms: Exploring the Practical Applications and Use in Technology-related Studies, Mixed-method, and Qualitative Researches , 2018 .

[32]  Alain Yee-Loong Chong,et al.  Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter? , 2013, Comput. Hum. Behav..

[33]  A. Chong Mobile commerce usage activities: The roles of demographic and motivation variables , 2013 .

[34]  Marjan Hericko,et al.  A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types , 2011, Comput. Hum. Behav..

[35]  D. Lupton M-health and health promotion: The digital cyborg and surveillance society , 2012, Social Theory & Health.

[36]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[37]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .

[38]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[39]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[40]  Karen Ka-Leung Moon,et al.  RFID research: An academic literature review (1995–2005) and future research directions , 2008 .

[41]  Dominique Guinard,et al.  RFID: From Concepts to Concrete Implementation , 2006 .

[42]  Borut Werber,et al.  Behaviour Intentions to Use RFID Subcutaneous Microchips: A Cross-sectional Slovenian Perspective , 2017, Bled eConference.

[43]  Victor R. Prybutok,et al.  A mindful product acceptance model , 2018, J. Decis. Syst..

[44]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..