Understanding usage intention in innovative mobile app service: Comparison between millennial and mature consumers

This study sought to analyze the impact of consumer technological and fashion innovativeness on usage intention to use a fashion image search app. Based on the Technology Acceptance Model (TAM), which was proven quite robust, the study introduced an additional variable of playfulness to verify the relationship between variables related to technological innovativeness and fashion innovativeness. Consumers with a high degree of technological innovativeness tended to find the fashion app easy to use, derived enjoyment from using it, and adopted it if the app is useful. However, those with a high degree of fashion innovativeness adopted the fashion service simply because it was fun to use rather than beneficial or useful. In addition, this study analyzed the differences in acceptance with respect to cohort group, particularly regarding millennial consumers compared to their mature counterparts. The results of this research improved understanding of the generational differences in accepting innovative marketing technology. We study consumers with high technological innovativeness.They adopt app services if they find it easy to use and useful and they enjoy it.We study consumers with high fashion innovativeness.They adopt fashion service because it is fun to use rather than useful.We analyze the differences in acceptance between millennials and mature consumers.

[1]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[2]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[3]  Namho Chung,et al.  The Effect of Tourist’s Technology Readiness on the Acceptance of an Augmented Reality Tour Application , 2014 .

[4]  N. Howe,et al.  The next 20 years: how customer and workforce attitudes will evolve. , 2007, Harvard business review.

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

[6]  Vera H. Rigolin.  Time Flies When You Are Having Fun. , 2018, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[7]  Jenni Niemelä-Nyrhinen,et al.  Baby boom consumers and technology: shooting down stereotypes , 2007 .

[8]  김준,et al.  The Structual Relationships between the Antecedents of Knowledge Sharing and Organizational Performance , 2011 .

[9]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[10]  Martin Rich.  Millennial Students and Technology Choices for Information Searching , 2008 .

[11]  Hilary Yerbury,et al.  Who to Be?: Generations X and Y in Civil Society Online , 2010 .

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

[13]  Jiun-Sheng Chris Lin,et al.  The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies , 2007, Comput. Hum. Behav..

[14]  Keang-Young Kang,et al.  Influences of Consumers' Fashion Innovativeness and Technological Innovativeness on Attitudes and Buying Intention toward Smart Clothing , 2007 .

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

[16]  Maria Holmlund,et al.  An exploration of how mature women buy clothing: empirical insights and a model , 2011 .

[17]  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..

[18]  Jin-Mie Chae.  Consumer Acceptance Model of Smart Clothing according to Innovation , 2009 .

[19]  Eun-Jeong Huh,et al.  Comparing Consumption-Related Values and Lifestyles of Baby Boomers, Generation X, and Generation Y , 2007 .

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

[21]  김영채,et al.  A Study on Effect of Mobile Properties, IT Properties and Involvement on Satisfaction of Smartphone Application : Focused on Fashion Application , 2011 .

[22]  A. Parasuraman,et al.  The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis , 2008 .

[23]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[24]  Meyrick Chow,et al.  Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education , 2012, Comput. Educ..

[25]  Suzanne Altobello Nasco,et al.  The CAT model: Extensions and moderators of dominance in technology acceptance , 2008 .

[26]  Maddy Kent Dychtwald.  Marketplace 2000: riding the wave of population change , 1997 .

[27]  A. Kumar,et al.  Age differences in mobile service perceptions: comparison of Generation Y and baby boomers , 2008 .

[28]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[29]  A. Parasuraman,et al.  Technology Readiness Index (Tri) , 2000 .

[30]  Kyu-Hye Lee,et al.  Mobile Shopping Motives and Fashion Application Acceptance , 2013 .

[31]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

[32]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

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

[34]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[35]  George Rigopoulos,et al.  Journal of Internet Banking and Commerce a Tam Framework to Evaluate Users' Perception towards Online Electronic Payments , 2022 .

[36]  Ronald E. Goldsmith,et al.  Fashion innovativeness and self‐concept: a replication , 1999 .

[37]  Gordon C. Bruner,et al.  Toward a unified theory of consumer acceptance technology , 2007 .

[38]  Sharn Donnison,et al.  Unpacking the Millennials: A Cautionary Tale for Teacher Education , 2007 .

[39]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[40]  WangJin Yoo,et al.  Study on the Factors Influencing the User Satisfaction and Cost Satisfaction of Smart Devices , 2012 .

[41]  Eun-Young Rhee,et al.  The Effects of Adult Women's Innate Innovativeness on Involvement and Fashion Innovativeness , 2008 .

[42]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[43]  George P. Moschis,et al.  Mature consumers' selection of apparel and footwear brands and department stores , 2011 .

[44]  Grete Birtwistle,et al.  Consumer purchasing behaviour: an investigation of the UK mature women's clothing market , 2005 .

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

[46]  Panayiotis Zaphiris,et al.  Age differences in online social networking - A study of user profiles and the social capital divide among teenagers and older users in MySpace , 2009, Comput. Hum. Behav..

[47]  George Rigopoulos,et al.  A TAM Framework to Evaluate Usersâ Perception towards OnlineElectronic Payments , 2007 .

[48]  R. Goldsmith,et al.  The Social Values Of Fashion Innovators , 2011 .

[49]  Martina Ziefle,et al.  Understanding age differences in PDA acceptance and performance , 2007, Comput. Hum. Behav..

[50]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[51]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .

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

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

[54]  C. Bakewell,et al.  Generation Y female consumer decision‐making styles , 2003 .

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

[56]  Yung Kyun Choi,et al.  Self-construal's role in mobile TV acceptance: Extension of TAM across cultures , 2012 .

[57]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[58]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[59]  Yu-Chen Chen,et al.  Extrinsic versus intrinsic motivations for consumers to shop on-line , 2005, Inf. Manag..