Age-group differences in Near Field Communication smartphone

Purpose – The purpose of this paper are twofold: first, develop a novel concept of a mobiquitous home application (Near Field Communication Smartphone Entertainment Systems (NFC SES)) with the use of photo interface and NFC smartphone. Second, examine age-group differences in relation to the influence of intuitive, convenience and perceived usefulness on users’ behavioural intention to use NFC SES. Design/methodology/approach – Using design science research, NFC SES is developed and a survey of 52 users is conducted to evaluate NFC SES. Findings – There are age differences in individual behavioural intention to use NFC technology. Convenience appears to be the primary factor for the youths. The adult cohort, in contrast emphasizes intuitive and perceived usefulness as two significant determinants of their behavioural intention to use NFC SES. Practical implications – This study offers a fresh insight for mobile device manufacturer and application developers to focus their design efforts around three aspec...

[1]  Gang Pan,et al.  Touch-driven interaction via an NFC-enabled smartphone , 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops.

[2]  C. Anton,et al.  Usefulness, Enjoyment, and Self‐Image Congruence: The Adoption of e‐Book Readers , 2013 .

[3]  Stefan Saroiu,et al.  Home automation in the wild: challenges and opportunities , 2011, CHI.

[4]  J. Hair Multivariate data analysis , 1972 .

[5]  Garry Wei-Han Tan,et al.  NFC mobile credit card: The next frontier of mobile payment? , 2014, Telematics Informatics.

[6]  Heikki Karjaluoto,et al.  Exploring Gender Influence on Customer's Intention to Engage Permission-based Mobile Marketing , 2008, Electron. Mark..

[7]  S. O'Donohoe,et al.  Why young consumers are not open to mobile marketing communication , 2007 .

[8]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[9]  Sang M. Lee,et al.  Motivations of Facebook Places and store atmosphere as moderator , 2014, Ind. Manag. Data Syst..

[10]  Carla Ruiz-Mafé,et al.  Key factors of teenagers' mobile advertising acceptance , 2013, Ind. Manag. Data Syst..

[11]  Albert Sydney Hornby,et al.  牛津高阶英汉双解词典 = Oxford advanced learner's English-Chinese dictionary , 1984 .

[12]  Wilburn Lane,et al.  The Impact of Personality Traits on Smartphone Ownership and Use , 2011 .

[13]  Alan R. Hevner,et al.  POSITIONING AND PRESENTING DESIGN SCIENCE RESEARCH FOR MAXIMUM IMPACT 1 , 2013 .

[14]  Serge Miranda,et al.  NFC Mobiquitous Information Service Prototyping at the University of Nice Sophia Antipolis and Multi-mode NFC Application Proposal , 2011, 2011 Third International Workshop on Near Field Communication.

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

[16]  Corey M. Angst,et al.  Reconceptualizing Compatibility Beliefs in Technology Acceptance , 2006 .

[17]  Cornelius J. König,et al.  What makes human resource information successful? Managers' perceptions of attributes for successful human resource information , 2013 .

[18]  Angelo Dispenzieri,et al.  Age, experience, and performance on speed and skill jobs in an applied setting. , 1983 .

[19]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[20]  Alain Yee-Loong Chong,et al.  A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption , 2013, Expert Syst. Appl..

[21]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[22]  F. Michahelles,et al.  Switching the Role of NFC Tag and Reader for the Implementation of Smart Posters , 2012, 2012 4th International Workshop on Near Field Communication.

[23]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[24]  Tejaswini Herath,et al.  Encouraging information security behaviors in organizations: Role of penalties, pressures and perceived effectiveness , 2009, Decis. Support Syst..

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

[26]  Shintaro Okazaki,et al.  Perceived Ubiquity in Mobile Services , 2013 .

[27]  Asa MacWilliams,et al.  Smart Home Challenges and Approaches to Solve Them: A Practical Industrial Perspective , 2009 .

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

[29]  Roy Want,et al.  Near field communication , 2011, IEEE Pervasive Computing.

[30]  L. Shrum,et al.  The Role of Personal Values and Demographics in Predicting Television Viewing Behavior: Implications for Theory and Application , 1993 .

[31]  Wided Batat,et al.  The Impact of Technology Development on Youth Consumption Culture: An Empirical Investigation of French Teenage' Use of Mobile Phone Device , 2009 .

[32]  Yan Zhu,et al.  Tap-Wave-Rub: lightweight malware prevention for smartphones using intuitive human gestures , 2013, WiSec '13.

[33]  George M. Giaglis,et al.  Delineating ‘pervasiveness’ in pervasive information systems: a taxonomical framework and design implications , 2010, J. Inf. Technol..

[34]  Beth Magura What Hooks M-Commerce Customers? , 2003 .

[35]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[36]  Greta Barnicoat,et al.  The ageing population and smart metering: A field study of householders’ attitudes and behaviours towards energy use in Scotland , 2015 .

[37]  Garry Wei-Han Tan,et al.  Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach , 2013, Expert Syst. Appl..