Perceived Mobile Information Security and Adoption of Mobile Payment Services in China

The rapid deployment of mobile devices and the development of mobile services and applications require to address the mobile information security from the human side. This study was aimed at identifying factors influencing people's perception of mobile information security, to investigate the impact of these factors and to facilitate related service design. A survey was conducted and analyzed with exploratory factor analysis. Five factors were identified, including perceived familiarity, perceived impact, perceived controllability, perceived awareness and perceived possibility. Thereinto, the impact of controllability, impact and familiarity on the adoption of mobile payment was investigated. Impact significantly affected the intention to use, but not the perceived security of payment systems. Control level significantly affected the intention to use and the perceived security. Familiarity was found to have an effect on neither the intention to use nor the perceived security. Related design implications for mobile payment systems were discussed.

[1]  Heikki Karjaluoto,et al.  Factors underlying attitude formation towards online banking in Finland , 2002 .

[2]  Hsiu-Fen Lin,et al.  An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust , 2011, Int. J. Inf. Manag..

[3]  P. Hewer,et al.  Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom , 2002 .

[4]  Gavriel Salvendy,et al.  Handbook of Human Factors and Ergonomics: Salvendy/Handbook of Human Factors 4e , 2012 .

[5]  Choon Seong Leem,et al.  Security Threats and Their Countermeasures of Mobile Portable Computing Devices in Ubiquitous Computing Environments , 2005, ICCSA.

[6]  Gavriel Salvendy,et al.  Perceived security determinants in e-commerce among Turkish university students , 2005, Behav. Inf. Technol..

[7]  Xin Luo,et al.  Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services , 2010, Decis. Support Syst..

[8]  Bill Anckar,et al.  VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY , 2002 .

[9]  Gavriel Salvendy,et al.  Factors affecting perception of information security and their impacts on IT adoption and security practices , 2011, Int. J. Hum. Comput. Stud..

[10]  Key Pousttchi,et al.  Security issues in mobile payment from the customer viewpoint , 2006, ECIS.

[11]  Nava Pliskin,et al.  Drivers and Inhibitors of Mobile-Payment Adoption by Smartphone Users , 2012, Int. J. E Bus. Res..

[12]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

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

[14]  Haitham Cruickshank,et al.  The security challenges for mobile ubiquitous services , 2007, Inf. Secur. Tech. Rep..

[15]  Abigail Sellen,et al.  Security and Trust in Mobile Interactions: A Study of Users' Perceptions and Reasoning , 2004, UbiComp.

[16]  Gavriel Salvendy,et al.  Perception of information security , 2010, Behav. Inf. Technol..

[17]  Jing Liu,et al.  An investigation of users’ continuance intention towards mobile banking in China , 2016 .

[18]  P. Slovic.  Perception of risk. , 1987, Science.

[19]  Paul Dourish,et al.  Collective Information Practice: Exploring Privacy and Security as Social and Cultural Phenomena , 2006, Hum. Comput. Interact..

[20]  ChiuChao-Min,et al.  Understanding customers' repeat purchase intentions in B2C e-commerce , 2014 .

[21]  Hsi‐Peng Lu,et al.  An empirical study of the effect of perceived risk upon intention to use online applications , 2005, Inf. Manag. Comput. Security.

[22]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[23]  Gavriel Salvendy,et al.  Handbook of Human Factors and Ergonomics , 2005 .

[24]  S. Laforet,et al.  CONSUMERS’ ATTITUDES TOWARDS ONLINE AND MOBILE BANKING IN CHINA , 2005 .

[25]  M. Sathye.  Adoption of Internet banking by Australian consumers: an empirical investigation , 1999 .

[26]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[27]  Daniele Sgandurra,et al.  A Survey on Security for Mobile Devices , 2013, IEEE Communications Surveys & Tutorials.

[28]  Shuchih Ernest Chang,et al.  Smartphone security: understanding smartphone users' trust in information security management , 2014, Secur. Commun. Networks.

[29]  Christopher B. Mayhorn,et al.  To download or not to download: an examination of computer security decision making , 2006, INTR.

[30]  Balbir S. Barn,et al.  Young People and Smart Phones: An Empirical Study on Information Security , 2014, 2014 47th Hawaii International Conference on System Sciences.

[31]  Gi Mun Kim,et al.  Understanding dynamics between initial trust and usage intentions of mobile banking , 2009, Inf. Syst. J..

[32]  Paul Dourish,et al.  Security in the wild: user strategies for managing security as an everyday, practical problem , 2004, Personal and Ubiquitous Computing.

[33]  Ryan West,et al.  The psychology of security , 2008, CACM.

[34]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[35]  David Naccache,et al.  Mobile Terminal Security , 2004, IACR Cryptol. ePrint Arch..

[36]  Tiffany A. Whittaker,et al.  Scale Development Research , 2006 .

[37]  Aaron Earle.  Wireless Security Handbook , 2005 .

[38]  Eric T. G. Wang,et al.  Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk , 2014, Inf. Syst. J..

[39]  R. Sharman,et al.  Social and Human Elements of Information Security: Emerging Trends and Countermeasures , 2008 .

[40]  E. Weber,et al.  Perceived risk attitudes: relating risk perception to risky choice , 1997 .

[41]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[42]  Hua Dai,et al.  Mobile commerce adoption in China and the United States: a cross-cultural study , 2009, DATB.

[43]  Kun-Huang Huarng,et al.  Viral effects of social network and media on consumers’ purchase intention , 2015 .