Measuring the Influence of Perceived Cybercrime Risk on Online Service Avoidance

Cybercrime is a pervasive threat for today's Internet-dependent society. While the real extent and economic impact is hard to quantify, scientists and officials agree that cybercrime is a huge and still growing problem. A substantial fraction of cybercrime's overall costs to society can be traced to indirect opportunity costs, resulting from unused online services. This paper presents a parsimonious model that builds on technology acceptance research and insights from criminology to identify factors that reduce Internet users' intention to use online services. We hypothesize that avoidance of online banking, online shopping and online social networking is increased by cybercrime victimization and media reports. The effects are mediated by the perceived risk of cybercrime and moderated by the user's confidence online. We test our hypotheses using a structural equation modeling analysis of a representative pan-European sample. Our empirical results confirm the negative impact of perceived risk of cybercrime on the use of all three online service categories and support the role of cybercrime experience as an antecedent of perceived risk of cybercrime. We further show that more confident Internet users perceive less cybercriminal risk and are more likely to use online banking and online shopping, which highlights the importance of consumer education.

[1]  Dong-Hee Shin,et al.  Applying the Technology Acceptance Model and Flow Theory to Cyworld User Behavior: Implication of the Web2.0 User Acceptance , 2008, Cyberpsychology Behav. Soc. Netw..

[2]  Khaled M. S. Faqih,et al.  Integrating perceived risk and trust with technology acceptance model: An empirical assessment of customers' acceptance of online shopping in Jordan , 2011, 2011 International Conference on Research and Innovation in Information Systems.

[3]  Linda Heath,et al.  Mass Media and Fear of Crime , 1996 .

[4]  Lina Zhou,et al.  ONLINE SHOPPING ACCEPTANCE MODEL — A CRITICAL SURVEY OF CONSUMER FACTORS IN ONLINE SHOPPING , 2007 .

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

[6]  Hsiu-Fen Lin,et al.  Understanding Behavioral Intention to Participate in Virtual Communities , 2006, Cyberpsychology Behav. Soc. Netw..

[7]  Miriam J. Metzger Privacy, Trust, and Disclosure: Exploring Barriers to Electronic Commerce , 2006, J. Comput. Mediat. Commun..

[8]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[9]  Tyler Moore,et al.  How do consumers react to cybercrime? , 2012, 2012 eCrime Researchers Summit.

[10]  Daniel R. Horne,et al.  The Privacy Paradox: Personal Information Disclosure Intentions versus Behaviors , 2007 .

[11]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[12]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[13]  Anthony D. Miyazaki,et al.  Reducing online privacy risk to facilitate e‐service adoption: the influence of perceived ease of use and corporate credibility , 2010 .

[14]  Roger E. Millsap,et al.  Assessing Factorial Invariance in Ordered-Categorical Measures , 2004 .

[15]  Yong-Hui Li,et al.  Applying Theory of Perceived Risk and Technology Acceptance Model in the Online Shopping Channel , 2009 .

[16]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[17]  Yair Amichai-Hamburger,et al.  The impact of the Internet on the social lives of users: A representative sample from 13 countries , 2011, Comput. Hum. Behav..

[18]  Marijn Scholte,et al.  Fear of Crime and Feelings of Unsafety in European Countries: Macro and Micro Explanations in Cross-National Perspective , 2013 .

[19]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[20]  Edmund F. McGarrell,et al.  Neighborhood disorder, integration, and the fear of crime , 1997 .

[21]  T. C. Edwin Cheng,et al.  Adoption of internet banking: An empirical study in Hong Kong , 2006, Decis. Support Syst..

[22]  Tyler Moore,et al.  Measuring the Cost of Cybercrime , 2012, WEIS.

[23]  A. Liska,et al.  Feeling Safe by Comparison: Crime in the Newspapers , 1990 .

[24]  A. Wåhlberg,et al.  Risk perception and the media , 2000 .

[25]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[26]  Cormac Herley,et al.  Sex, Lies and Cyber-Crime Surveys , 2011, WEIS.

[27]  Gordon R. Foxall,et al.  Technology acceptance: a meta‐analysis of the TAM: Part 1 , 2007 .

[28]  K. Ferraro,et al.  The Measurement of Fear of Crime , 1987 .

[29]  D. F. Blankertz,et al.  Risk taking and information handling in consumer behavior , 1969 .

[30]  David C. May,et al.  AN EMPIRICAL ASSESSMENT OF THE “THREAT OF VICTIMIZATION:” CONSIDERING FEAR OF CRIME, PERCEIVED RISK, AVOIDANCE, AND DEFENSIVE BEHAVIORS , 2007 .

[31]  Marianne Junger,et al.  Trends in violent crime: a comparison between police statistics and victimization surveys , 2002 .

[32]  D. Straub,et al.  Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly , 2012 .

[33]  S. Tan Strategies for reducing consumers’ risk aversion in Internet shopping , 1999 .

[34]  Ohbyung Kwon,et al.  An empirical study of the factors affecting social network service use , 2010, Comput. Hum. Behav..

[35]  Yongbing Jiao,et al.  A Study of the Impact of Social Media Characteristics on Customer Adoption Intention of Social Media , 2013 .

[36]  Tom R. Tyler,et al.  Assessing the Risk of Crime Victimization: The Integration of Personal Victimization Experience and Socially Transmitted Information , 1984 .

[37]  Kevin Grant,et al.  Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman , 2012, Int. J. Inf. Manag..

[38]  Kenneth Saban,et al.  A Critical Look at the Impact of Cybercrime on Consumer Internet Behavior , 2002 .

[39]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[40]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[41]  Payam Hanafizadeh,et al.  A systematic review of Internet banking adoption , 2014, Telematics Informatics.

[42]  B. Muthén,et al.  Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes , 1997 .

[43]  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..

[44]  Erik Brynjolfsson,et al.  The Contribution of Information Technology to Consumer Welfare , 1996, Inf. Syst. Res..

[45]  Marc Gertz,et al.  FEAR, TV NEWS, AND THE REALITY OF CRIME* , 2000 .

[46]  María-del-Carmen Alarcón-del-Amo,et al.  Adoption of social networking sites by Italian , 2013, Information Systems and e-Business Management.

[47]  C. Hale,et al.  Fear of Crime: A Review of the Literature1 , 1996 .

[48]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[49]  Tiago Oliveira,et al.  Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application , 2014, Int. J. Inf. Manag..

[50]  Tobias Kretschmer,et al.  ICT and productivity: conclusions from the empirical literature , 2013, Inf. Econ. Policy.

[51]  Mark A. Fuller,et al.  "Applying TAM to E-Services Adoption: The Moderating Role of Perceived Risk" , 2003, HICSS.

[52]  Vincent S. Lai,et al.  Literature derived reference models for the adoption of online shopping , 2005, Inf. Manag..

[53]  Jonathan Jackson,et al.  Revisiting Risk Sensitivity in the Fear of Crime , 2011 .

[54]  Qing Hu,et al.  The Centrality of Awareness in the Formation of User Behavioral Intention toward Protective Information Technologies , 2007, J. Assoc. Inf. Syst..

[55]  Charles J. Kacmar,et al.  The impact of initial consumer trust on intentions to transact with a web site: a trust building model , 2002, J. Strateg. Inf. Syst..

[56]  I. Ajzen The theory of planned behavior , 1991 .

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

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

[59]  Phillip W. Braddy,et al.  Power and sensitivity of alternative fit indices in tests of measurement invariance. , 2008, The Journal of applied psychology.

[60]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[61]  Sirkka L. Jarvenpaa,et al.  Consumer Trust in an Internet Store: A Cross-Cultural Validation , 2006, J. Comput. Mediat. Commun..

[62]  S. Finney Nonnormal and categorical data in structural equation modeling , 2013 .

[63]  Allison T. Chappell,et al.  Fear of Crime Revisited: Examining the Direct and Indirect Effects of Disorder, Risk Perception, and Social Capital , 2011 .

[64]  George H. Polychronopoulos,et al.  An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece , 2012 .

[65]  A. Soares,et al.  Examining the Technology Acceptance Model in the Adoption of Social Ne tworks , 2011 .

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

[67]  Paul Hunton,et al.  The growing phenomenon of crime and the internet: A cybercrime execution and analysis model , 2009, Comput. Law Secur. Rev..

[68]  Ross J. Anderson,et al.  The Economics of Online Crime , 2009 .

[69]  Dong-Hee Shin,et al.  The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption , 2010, Interact. Comput..

[70]  Ingoo Han,et al.  Effect of trust on customer acceptance of Internet banking , 2002, Electron. Commer. Res. Appl..

[71]  Alan D. Smith,et al.  Cybercriminal impacts on online business and consumer confidence , 2004, Online Inf. Rev..

[72]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[73]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[74]  Wesley G. Skogan,et al.  The Impact of Victimization on Fear , 1987 .

[75]  H. Zandhessami,et al.  Determinants of user acceptance of internet banking: An empirical study , 2014 .

[76]  HanafizadehPayam,et al.  A systematic review of Internet banking adoption , 2014 .

[77]  Izak Benbasat,et al.  Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users , 1996 .

[78]  A. Liska,et al.  Fear of Crime and Constrained Behavior Specifying and Estimating a Reciprocal Effects Model , 1988 .

[79]  R. Sickles,et al.  An International Comparison of Technology Adoption and Efficiency: A Dynamic Panel Model , 1999 .

[80]  M. S. Cunningham The Major Dimensions of Perceived Risk , 1967 .

[81]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[82]  Hamed Qahri Saremi,et al.  Factors Affecting Internet Banking Pre-usage Expectation Formation , 2013, 2013 46th Hawaii International Conference on System Sciences.

[83]  Qing Hu,et al.  User behaviour towards protective information technologies: the role of national cultural differences , 2009, Inf. Syst. J..

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