Attitudes toward mobile advertising among users versus non-users of the mobile Internet

The development of mobile devices offers alternatives for interacting with consumers.This study analyzes the antecedents and consequences towards mobile advertisings.Attitudes exert positive influences on intentions to receive advertising.Perceived added value and subjective norms exert a positive influence on attitudes. Marketing communication strategy via mobile phone constitutes a promising approach to companies because it enables to reach appropriate audiences at the right time and place. The main aim of this research is to determine key factors that create new opportunities for commercial communications by considering consumer attitudes toward mobile advertising. The proposed causal model of attitudes and intentions toward mobile advertising highlights potential differences between users of smartphones with Internet capabilities and non-users. The theoretical model integrates the influences of control, reference groups, perceived added value, and ease of use on attitudes toward mobile advertising, as well as the relationship of these effects with intentions toward advertising, mediated by mobile Internet usage. The sample is 612 respondents who receive advertising by their mobile phones. Our results reveal, similar to other research, that attitudes exert positive influences on intentions to receive advertising, especially among those who already have access to the Internet on their mobile phones. However, regarding these variables, the experience does not contribute to positive attitudes.

[1]  Tracy L. Tuten,et al.  Predicting and explaining the propensity to bid in online auctions: a comparison of two action-theoretical models , 2006 .

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

[3]  Gordon Lowry,et al.  Modelling user acceptance of building management systems , 2002 .

[4]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[5]  G. Foxall.  Consumer Behavior Analysis , 2007 .

[6]  J. Rouchy.  Cultural Identity and Groups of Belonging , 2002 .

[7]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[8]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[9]  R. Bagozzi.  On the Concept of Intentional Social Action in Consumer Behavior , 2000 .

[10]  V. Zeithaml.  Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[11]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[12]  M. G. Gallarza,et al.  Desarrollo de una escala multidimensional para medir el valor percibido de una experiencia de servicio , 2006 .

[13]  I. Wen.  Factors affecting the online travel buying decision: a review , 2009 .

[14]  J. Gentry,et al.  Characteristics of Adopters and Non-Adopters of Home Computers , 1983 .

[15]  Mohamed Khalifa,et al.  Explaining the adoption of transactional B2C mobile commerce , 2008, J. Enterp. Inf. Manag..

[16]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[17]  Harry Bouwman,et al.  Analysis of users and non-users of smartphone applications , 2010, Telematics Informatics.

[18]  Sang-Gun Lee,et al.  An integrative study of mobile technology adoption based on the technology acceptance model, theory of planned behavior and diffusion of innovation theory , 2003 .

[19]  R. B. Woodruff,et al.  Customer value: The next source for competitive advantage , 1997 .

[20]  David Luna,et al.  Cross-cultural and cognitive aspects of web site navigation , 2002 .

[21]  I. Ajzen.  Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

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

[23]  James E. Haefner,et al.  Public Attitudes Toward Advertising: More Favorable Than You Might Think , 1998 .

[24]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[25]  Jamie Murphy,et al.  Mobile Environmental Applications , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[26]  Keng Siau,et al.  A qualitative investigation on consumer trust in mobile commerce , 2004, Int. J. Electron. Bus..

[27]  Kenneth C. C. Yang,et al.  Factors affecting consumers' responses to mobile advertising from a social norm theoretical perspective , 2010, Telematics Informatics.

[28]  Hung-Pin Shih,et al.  Extended technology acceptance model of Internet utilization behavior , 2004, Inf. Manag..

[29]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[30]  P. R. Warshaw.  A New Model for Predicting Behavioral Intentions: An Alternative to Fishbein , 1980 .

[31]  Gordon C. Bruner,et al.  Webpage Background and Viewer Attitudes , 2000, Journal of Advertising Research.

[32]  V. Virtanen,et al.  An Empirical Study of the Drivers of Consumer Acceptance of Mobile Advertising , 2007 .

[33]  Carlos Flavián,et al.  A heuristic evaluation of websites design for achieving the web success , 2009, Int. J. Serv. Stand..

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

[35]  K. B. Monroe,et al.  The Effects of Price - Comparison Advertising on Buyers'''' Perceptions of Acquisition Value, Transa , 1998 .

[36]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[37]  Andrea Rangone,et al.  Mobile marketing: an analysis of key success factors and the European value chain , 2005 .

[38]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[39]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[40]  Paul van Schaik,et al.  Clinical acceptance of a low-cost portable system for postural assessment , 2000, Behav. Inf. Technol..

[41]  Heikki Karjaluoto,et al.  Consumers' attitudes towards and intention to participate in mobile marketing , 2007, Int. J. Serv. Technol. Manag..

[42]  R. Keeney,et al.  The Value of Internet Commerce to the Customer , 1999 .

[43]  Dennis F. Galletta,et al.  Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

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

[45]  Martina Ziefle,et al.  The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones , 2002, Behav. Inf. Technol..

[46]  Jari Salo,et al.  The role of mobile technology in a buyer‐supplier relationship: a case study from the steel industry , 2012 .

[47]  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..

[48]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[49]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[50]  G. Soutar,et al.  Consumer perceived value: The development of a multiple item scale , 2001 .

[51]  Darrel D. Muehling.  Comparative Advertising: The Influence of Attitude-toward-the-Ad on Brand Evaluation , 1987 .

[52]  Patrick Barwise,et al.  Permission-based mobile advertising , 2002 .

[53]  Ron Henderson,et al.  Perceived usefulness, ease of use and electronic supermarket use , 2003, Int. J. Hum. Comput. Stud..

[54]  Mohan J. Dutta-Bergman.  Community Participation and Internet Use after September 11: Complementarity in Channel Consumption , 2006, J. Comput. Mediat. Commun..

[55]  Chao-Min Chiu,et al.  A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior , 2006, Int. J. Hum. Comput. Stud..

[56]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[57]  R. Lutz.  Affective and cognitive antecedents of attitude toward the ad : A conceptual framework , 1985 .

[58]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[59]  Margherita Pagani.  Determinants of adoption of third generation mobile multimedia services , 2004 .

[60]  N. Reynolds,et al.  Attitude Formation Onlin - how the Consumer's need for Cognition Affects the Relationship between Attitude towards the Website and Attitude towards the Brand , 2006 .

[61]  Süleyman Barutçu,et al.  Attitudes towards mobile marketing tools: A study of Turkish consumers , 2007 .

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

[63]  Chris Atkinson,et al.  Wireless Systems Development Methodologies: An Analysis of Practice Using Actor Network Theory , 2003, J. Comput. Inf. Syst..

[64]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

[65]  Stephan Arndt,et al.  Reference Group Influence on Adolescent Alcohol Use. , 2002 .

[66]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[67]  Tom O'Regan,et al.  Telematics and informatics , 2005 .

[68]  Kim Normann Andersen,et al.  The Paradox of the Mobile Internet: Acceptance of Gadgets and Rejection of Innovations , 2003, Bled eConference.

[69]  Chun-Der Chen,et al.  Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior , 2007 .

[70]  Hock-Hai Teo,et al.  An empirical study of the effects of interactivity on web user attitude , 2003, Int. J. Hum. Comput. Stud..

[71]  Terry L. Childers,et al.  The Influence of Familial and Peer-Based Reference Groups on Consumer Decisions , 1992 .

[72]  Su-Fang Lee,et al.  An Empirical Examination of Customer Perceptions of Mobile Advertising , 2006, Inf. Resour. Manag. J..

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

[74]  Stuart J. Barnes,et al.  SMS advertising, permission and the consumer: a study , 2007, Bus. Process. Manag. J..

[75]  David Jingjun Xu,et al.  The Influence of Personalization in Affecting Consumer Attitudes toward Mobile Advertising in China , 2006, J. Comput. Inf. Syst..

[76]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[77]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[78]  Richard G. Netemeyer,et al.  Assessing the Cross-National Applicability of Consumer Behavior Models: A Model of Attitude toward Advertising in General , 1993 .

[79]  G. Foxall.  The behavior analysis of consumer choice: An introduction to the special issue , 2003 .

[80]  Andreas Kuckertz,et al.  Antecedents to Permission Based Mobile Marketing: An Initial Examination , 2007 .

[81]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[82]  W. Bearden,et al.  Reference Group Influence on Product and Brand Purchase Decisions , 1982 .

[83]  M. Richard,et al.  A model of consumer web navigational behavior: conceptual development and application , 2005 .

[84]  Alan J. Dubinsky,et al.  A conceptual model of perceived customer value in e-commerce: A preliminary investigation , 2003 .

[85]  Ting-Peng Liang,et al.  Consumer Attitudes Toward Mobile Advertising: An Empirical Study , 2004, Int. J. Electron. Commer..

[86]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[87]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

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

[89]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[90]  Sally J. McMillan,et al.  Gearing up for mobile advertising: A cross‐cultural examination of key factors that drive mobile messages home to consumers , 2008 .

[91]  Hock-Hai Teo,et al.  An empirical study of the effects of interactivity on web user attitude , 2003 .

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

[93]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[94]  E. Mao,et al.  UNDERSTANDING THE ACCEPTANCE OF MOBILE SMS ADVERTISING AMONG YOUNG CHINESE CONSUMERS , 2008 .