Impact of intangibility on perceived risk associated with online games

References

• Aldás-Manzano , J. 2009 . The role of consumer innovativeness and perceived risk in online banking usage . The International Journal of Bank Marketing , 27 ( 1 ) : 53 – 75 .
   Google Scholar
• Bagozzi , R. P. and Yi , Y. 1988 . On the evaluation of structure equations models . Academic of Marketing Science , 16 ( 1 ) : 76 – 94 .
   Google Scholar
• Bauer , R. A. 1960 . “ Consumer behavior at risk taking ” . In Dynamic marketing for a changing world , Edited by: Hancock , R.S. 389 – 398 . Chicago , IL : American Marketing Association .
   Google Scholar
• Bebko , C. P. 2000 . Service intangibility and its impact on consumer expectations of service quality . Journal of Services Marketing , 14 ( 1 ) : 9 – 26 .
   Google Scholar
• Belkhamza , Z. and Wafa , S. A. 2009 . The effect of perceived risk on the intention to use e-commerce: the case ofAlgeria . Journal of Internet Banking and Commerce , 14 ( 1 ) : 1 – 10 .
   Google Scholar
• Bobbit , L. M. and Dabholkar , P. A. 2001 . Integrating attitudinal theories to understand and predict use of technology-based self-service . International Journal of Service Industry Management , 12 ( 5 ) : 423 – 450 .
   Google Scholar
• Boshoff , C. 2006 . A proposed instrument to measure the customer satisfaction of visitors to a theme park . Management Dynamics , 15 ( 3 ) : 10 – 11 .
   Google Scholar
• Brian , D. N. and Wiemer-Hastings , P. 2005 . Addiction to theinternet and online gaming . CyberPsychology and Behavior , 8 : 110 – 115 .
   PubMedGoogle Scholar
• Caplan , S. E. 2002 . Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument . Computers in HumanBehavior , 18 ( 5 ) : 553 – 575 .
   Google Scholar
• Caplan , S. E. 2005 . A social skill account of problematic internet use . Journal of Communication , 55 ( 4 ) : 721 – 736 .
   Web of Science ®Google Scholar
• Chang , H. H. and Chen , S. W. 2008 . The impact of online store environment cues on purchase intention; trust and perceived risk as a mediator . Online Information Review , 32 ( 6 ) : 818 – 841 .
   Web of Science ®Google Scholar
• Charlton , J. P. and Danforth , D. W. 2009 . Validating the distinction between computer addiction and engagement: online game playing and personality . Behaviour & Information Technology , 29 ( 6 ) : 601 – 613 .
   Web of Science ®Google Scholar
• Chen , L.S-L. 2010 . The impact of perceived risk, intangibility and consumer characteristics on online game playing . Computers in Human Behavior , 26 ( 6 ) : 1607 – 1613 .
   Web of Science ®Google Scholar
• Chen , L. S.L. , Wang , M. C.H. and Lee , Y. H. 2009 . Relationship between motivation and satisfaction of online computer games: evidence from adolescent players using wireless service in Taiwan . Lecture Note on Computer Science , 5576 : 543 – 552 .
   Google Scholar
• Cheng , J. M.S. 2007 . Will e-channel addition increase the financial performance of the firm? – the evidence from Taiwan . Industrial Marketing Management , 36 ( 1 ) : 50 – 57 .
   Web of Science ®Google Scholar
• Chuang , Y. 2006 . Massively multiplayer online role-playing game-induced seizures: a neglected health problem in internet addiction . Cyber Psychology & Behavior , 9 ( 4 ) : 451 – 456 .
   PubMedGoogle Scholar
• Cole , H. and Griffiths , M. 2007 . Social interactions inmassively multiplayer online role-playing gamers . CyberPsychology & Behavior , 10 ( 4 ) : 575 – 583 .
   PubMedGoogle Scholar
• Cunningham , L. F. 2005 . Perceived risk and the consumer buying process: internet airline reservations . International Journal of Service Industry Management , 16 ( 3/4 ) : 357 – 372 .
   Google Scholar
• Dowling , G. R. and Staelin , R. 1994 . A model of perceived risk and intended risk-handling activity . Journal of Consumer Research , 21 ( 1 ) : 119 – 134 .
   Web of Science ®Google Scholar
• Eggert , A. 2006 . Intangibility and perceived risk in onlineenvironment . Journal of Marketing Management , 22 ( 5/6 ) : 553 – 572 .
   Google Scholar
• Finn , A. 1985 . A theory of the consumer evaluation process for new product concepts . Research in Consumer Behavior , 1 : 35 – 65 .
   Google Scholar
• Fornell , C. and Larcker , D. F. 1981 . Evaluating structural equation models with unobervables and measurement error . Journal of Marketing Research , 18 ( 1 ) : 39 – 50 .
   Web of Science ®Google Scholar
• Forsythe , S. 2006 . Development of a scale to measure the perceived benefits and risks of online shopping . Journal of Interactive Marketing , 20 ( 2 ) : 55 – 75 .
   Google Scholar
• Forsythe , S. M. and Shi , B. 2003 . Consumer patronage and risk perceptions in internet shopping . Journal of Business Research , 56 ( 11 ) : 867 – 875 .
   Web of Science ®Google Scholar
• Fraedrich , J. P. and Ferrell , O. C. 1992 . The impact of perceived risk and moral philosophy type on ethical decision making in business organizations . Journal of Business Research , 24 ( 4 ) : 283 – 295 .
   Web of Science ®Google Scholar
• Gefen , D. , Karahanna , E. and Straub , D. W. 2003 . Trust and TAM in online shopping: an integrated model . MIS Quarterly , 27 ( 1 ) : 51 – 90 .
   Web of Science ®Google Scholar
• Griffin , A. and Viehland , D. Perceived risk and risk relievers associated with online shopping . ACIS 2010 Proceedings . [online] Available from: http://aisel.aisnet. org/acis2010/31 [Accessed 24 September 2011]
   Google Scholar
• Hair , J.F. Jr. 2006 . Multivariate data analysis , 6th ed , Upper Saddle River , NJ : Prentice Hall .
   Google Scholar
• Huang , R. L. 2009 . Features and predictors of problematic internet use in Chinese college students . Behaviour & Information Technology , 28 ( 5 ) : 485 – 490 .
   Web of Science ®Google Scholar
• Jakala , M. and Pekkola , S. 2007 . From technology engineering to social engineering: 15 years of research on virtual worlds . The DATA BASE for Advances in Information Systems , 38 ( 4 ) : 11 – 16 .
   Google Scholar
• Johnson , C. L. 2007 . A framework for pricing government e-services . Electronic Commerce Research and Applications , 6 ( 4 ) : 484 – 489 .
   Web of Science ®Google Scholar
• Johnson , M. S. , Sivadas , E. and Garbarino , E. 2008 . Customer satisfaction, perceived risk and affective commitment: an investigation of directions of influence . The Journal of Services Marketing , 22 ( 5 ) : 353 – 362 .
   Google Scholar
• Keil , M. 2000 . A cross-cultural study on escalation ofcommitment behavior in software projects . MIS Quarterly , 24 ( 2 ) : 299 – 325 .
   Web of Science ®Google Scholar
• Kim , M. G. and Kim , J. 2010 . Cross-validation of reliability, convergent and discriminant validity for the problematic online game use scale . Computers in Human Behavior , 26 ( 3 ) : 389 – 398 .
   Web of Science ®Google Scholar
• Koo , D. M. 2009 . The moderating role of locus of control on the links between experiential motives and intention to play online games . Computers in Human Behavior , 25 ( 2 ) : 466 – 474 .
   Web of Science ®Google Scholar
• Laroche , M. , Bergeron , J. and Goutaland , C. 2001 . A three dimensional scale of intangibility . Journal of Service Research , 4 ( 1 ) : 26 – 38 .
   Google Scholar
• Laroche , M. , Bergeron , J. and Goutaland , C. 2003 . How intangibility affects perceived risk: the moderating role ofknowledge and involvement? . The Journal of Services Marketing , 17 ( 2/3 ) : 122 – 140 .
   Google Scholar
• Laroche , M. 2004 . Exploring how intangibility affects perceived risk . Journal of Service Research , 6 ( 4 ) : 373 – 389 .
   Google Scholar
• Laroche , M. , Nepomuceno , M. V. and Richard , M.-O. 2010 . How do involvement and product knowledge affect the relationship between intangibility and perceived risk for brands and product categories? . The Journal of Consumer Marketing , 37 ( 3 ) : 197 – 210 .
   Google Scholar
• Lee , M. C. 2009 . Understanding the behavioural intention toplay online games: an extension of the theory of planned behaviour . Online Information Review , 33 ( 5 ) : 849 – 872 .
   Web of Science ®Google Scholar
• Liao , C. , Lin , H. N. and Liu , Y. P. 2010 . Predicting the use of pirated software: a contingency model integrating perceived risk with the theory of planned behavior . Journal of Business Ethics , 91 ( 2 ) : 237 – 252 .
   Web of Science ®Google Scholar
• Libermann , Y. and Stashevsky , S. 2002 . Perceived risks as barriers to internet and e-commerce usage . Qualitative Market Research , 5 ( 4 ) : 291 – 300 .
   Google Scholar
• Link , P. and Marxt , C. 2004 . Integration of risk- and chance management in the cooperation process . International Journal of Production Economics , 90 ( 1 ) : 71 – 78 .
   Web of Science ®Google Scholar
• Liu , M. and Peng , W. 2009 . Cognitive and psychological predictors of the negative outcomes associated with playing MMOGs (massively multiplayer online games) . Computers in Human Behavior , 25 ( 6 ) : 1306 – 1311 .
   Web of Science ®Google Scholar
• Lu , H. P. and Wang , S. M. 2008 . The role of internet addiction in online game loyalty: an exploratory study . Internet Research , 18 ( 5 ) : 499 – 519 .
   Web of Science ®Google Scholar
• Mitchell , V. W. 1992 . Understanding consumers' behaviour: can perceived risk theory help? . Management Decision , 30 ( 3 ) : 26 – 31 .
   Google Scholar
• Mitchell , V. W. 1999 . Consumer perceived risk: conceptualizations and models . European Journal of Marketing , 33 ( 1/2 ) : 163 – 195 .
   Google Scholar
• Mittal , B. 1999 . The advertising of service: meeting the challenge of tangibility . Journal of Service Research , 2 ( August ) : 98 – 116 .
   Google Scholar
• Mittal , B. 2002 . Services communications: from mindless tangibilization to meaningful messages . Journal of Service Marketing , 16 ( 5 ) : 421 – 431 .
   Google Scholar
• Miyazaki , A. D. and Fernandez , A. 2001 . Consumer perceptions of privacy and security risks for online shopping . Journal of Consumer Affairs , 35 ( 1 ) : 27 – 44 .
   Web of Science ®Google Scholar
• Murray , K. B. and Schlacter , J. L. 1990 . The impact of services versus goods on consumers' assessment of perceived risk and variability . Journal of the Academy of Marketing Science , 18 ( 1 ) : 51 – 65 .
   Google Scholar
• Noort , G. V. , Kerkhof , P. and Fennis , B. M. 2008 . The persuasiveness of online safety cues: the impact of prevention focus compatibility of Web content on consumers' risk perceptions, attitudes, and intentions . Journal of Interactive Marketing , 22 ( 4 ) : 58 – 72 .
   Web of Science ®Google Scholar
• Oxford Dictionary of Current English . 1996 . Oxford : Oxford University Press .
   Google Scholar
• Pavlou , A. P. 2003 . Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model . International Journal of Electronic Commerce , 7 ( 3 ) : 69 – 103 .
   Web of Science ®Google Scholar
• Pearce , C. 2003 . Game Noir – a conversation with Tim Schafer . Game Studies , 3 ( 1 ) Available from: http://www.gamestudies.org [Accessed 24 September 2011]
   Google Scholar
• Roselius , T. 1971 . Consumer rankings of risk reduction methods . Journal of Marketing , 35 ( 1 ) : 56 – 61 .
   Web of Science ®Google Scholar
• Ryan , M. L. 2001 . Beyond myth and metaphor – the case of narrative in digital media . Game Studies , 1 ( 1 ) Available from: http://www.gamestudies.org [Accessed 24 September 2011]
   Google Scholar
• Santos , J. 2002 . From intangibility to tangibility on service quality perceptions: a comparison study between consumers and service providers in four service industries . Managing Service Quality , 12 ( 5 ) : 292 – 302 .
   Google Scholar
• Schiffman , L. G. and Kanuk , L. L. 1997 . Consumer behaviour , Englewood Cliffs , NJ : Prentice Hall .
   Google Scholar
• Shostack , G. L. 1977 . Breaking free from product marketing . Journal of Marketing , 41 ( April ) : 73 – 80 .
   Web of Science ®Google Scholar
• Steinkuehler , C. A. and Williams , D. 2006 . Where everybody knows your (screen) name: online games as “third places” . Journal of Computer-Mediated Communication , 11 ( 4 ) : 885 – 909 .
   Web of Science ®Google Scholar
• Sterm , D.E. Lamb, C.W. and MacLachian , D. L. 1977 . Perceived risk: a synthesis . European Journal of Marketing , 11 ( 4 ) : 312 – 319 .
   Web of Science ®Google Scholar
• Stock , G. N. , McFadden , K. L. and Gowen , C. R. 2010 . Organizational culture, knowledge management, and patient safety in U.S. hospitals . The Quality Management Journal , 17 ( 2 ) : 7 – 26 .
   Google Scholar
• Stone , R. N. and Grønhaug , K. 1933 . Perceived risk: further consideration for the marketing discipline . European Journal of Marketing , 27 ( 3 ) : 39 – 50 .
   Google Scholar
• Teo , T. S.H. 2002 . Attitudes toward online shopping and theinternet . Behaviour & Information Technology , 22 ( 4 ) : 281 – 289 .
   Web of Science ®Google Scholar
• Wang , E. S.T. 2008 . The relationship between leisuresatisfaction and life satisfaction of adolescents concerning online games . Adolescence , 13 ( 169 ) : 177 – 184 .
   Google Scholar
• Wu , J. , Li , P. and Rao , S. 2008 . Why they enjoy virtual game worlds? An empirical investigation . Journal of Electronic Commerce Research , 9 ( 3 ) : 219 – 230 .
   Web of Science ®Google Scholar
• Yang , Y. and Zhang , J. Discussion on the dimensions of consumers' perceived risk in mobile service . The Proceeding of 2009 Eighth International Conference on Mobile Business. Washington, DC: IEEE Computer Society, . pp. 261 – 266 .
   Google Scholar
• Zeithaml , V. A. and Bitne , M. J. 2000 . Service marketing: integrating customer focus across the firms , 2nd ed , NewYork : McGraw-Hill .
   Google Scholar
• Zeithaml , V. A. , Parasuraman , A. and Malhotra , A. 2002 . Service quality delivery through web sites: a critical review of extant knowledge . Journal of the Academy of Marketing Science , 30 ( 4 ) : 362 – 375 .
   Web of Science ®Google Scholar