The moderating role of device type and age of users on the intention to use mobile shopping applications

Abstract This work was performed to understand the characteristics of the antecedents of m-shopping adoption using mobile applications, with respect to the age of the consumer and the type of device used. The Technology Acceptance Model (TAM) and Theory of Diffusion of Innovations (DOI) were used for the purpose. The antecedents for shopping-through-mobile-apps were perceived risk, perceived usefulness, perceived ease-of-use and perceived enjoyment. Satisfaction in using an information system and personal innovativeness were also considered to have significant influences on the intention to use mobile shopping applications. In this work, devices were classified into large and small based on the screen size and respondents were classified into young (≤35 years) and old (>35 years) based on age. An online questionnaire with 32 items, administered through survey monkey, was circulated through email to the respondents and a data set of 675 responses was taken for analysis. ANOVA was used to compare the means of the responses in terms of these variables between the classified device types and age groups. Structural Equation Modeling was used to study the factors influencing the intention to use mobile shopping applications. The moderating effects of device type and age on the intention to use mobile shopping applications were analyzed. Results showed a significant difference in the responses for the variables - perceived enjoyment, perceived usefulness, satisfaction and intention to use - between the subgroups. The study also showed the presence of moderating effects of device types and age on the intention to use mobile shopping applications. The survey, results and implications of the observations are discussed in this paper.

[1]  Min-Jae Lee,et al.  Are You Still with Us? A Study of the Post-Adoption Determinants of Sustained Use of Mobile-Banking Services , 2012, J. Organ. Comput. Electron. Commer..

[2]  Ming-Chien Hung,et al.  An Examination of the Determinants of Mobile Shopping Continuance , 2012, Int. J. Electron. Bus. Manag..

[3]  Sinda Agrebi,et al.  Explain the intention to use smartphones for mobile shopping , 2015 .

[4]  Timothy Teo,et al.  Is there an attitude problem? Reconsidering the role of attitude in the TAM , 2009, Br. J. Educ. Technol..

[5]  Steven N. Silverman,et al.  Adoption of Internet shopping: the role of consumer innovativeness , 2000, Ind. Manag. Data Syst..

[6]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

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

[8]  Sang Hyun Kim,et al.  Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals , 2008, Inf. Manag..

[9]  Robert B. Settle,et al.  Images Of Online Versus Store Shopping: Have The Attitudes Of Men And Women, Young And Old Really Changed? , 2011 .

[10]  Ahmad Ghoneim,et al.  The antecedents of travellers' e-satisfaction and intention to buy airline tickets online: A conceptual model , 2013, J. Enterp. Inf. Manag..

[11]  P. A. Dabholkar,et al.  Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration , 2001 .

[12]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[13]  L. Krishnamurthi,et al.  On the Go: How Mobile Shopping Affects Customer Purchase Behavior , 2015 .

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

[15]  S. Baron,et al.  ONLINE SURVEYS IN MARKETING RESEARCH: PROS AND CONS , 2002 .

[16]  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.

[17]  Garry Wei-Han Tan,et al.  Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach , 2015, Int. J. Mob. Commun..

[18]  June Lu,et al.  Are personal innovativeness and social influence critical to continue with mobile commerce? , 2014, Internet Res..

[19]  P. Low,et al.  Intention to use advanced mobile phone services (AMPS) , 2013 .

[20]  Carla Ruiz-Mafé,et al.  Exploring individual personality factors as drivers of M-shopping acceptance , 2009, Ind. Manag. Data Syst..

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

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

[23]  Victoria Magrath,et al.  Marketing design elements of mobile fashion retail apps , 2013 .

[24]  Ya-Ching Lee,et al.  An empirical investigation into factors influencing the adoption of an e-learning system , 2006, Online Inf. Rev..

[25]  R. Oliver Measurement and evaluation of satisfaction processes in retail settings. , 1981 .

[26]  Doyle Yoon,et al.  Antecedents of mobile app usage among smartphone users , 2016 .

[27]  Alain Yee-Loong Chong,et al.  What drives Malaysian m-commerce adoption? An empirical analysis , 2009, Ind. Manag. Data Syst..

[28]  Wei Peng,et al.  Effects of screen size, viewing angle, and players' immersion tendencies on game experience , 2012, Comput. Hum. Behav..

[29]  Mohammed-Issa Riad Mousa Jaradat,et al.  Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective☆ , 2015 .

[30]  James Allan,et al.  A comparison of statistical significance tests for information retrieval evaluation , 2007, CIKM '07.

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

[32]  Alain Yee-Loong Chong,et al.  Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia , 2012, Decis. Support Syst..

[33]  Deborah Kirby Forgays,et al.  Texting everywhere for everything: Gender and age differences in cell phone etiquette and use , 2014, Comput. Hum. Behav..

[34]  Imsook Ha,et al.  Determinants of adoption of mobile games under mobile broadband wireless access environment , 2007, Inf. Manag..

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

[36]  Blanca Hernández,et al.  Age, gender and income: do they really moderate online shopping behaviour? , 2011 .

[37]  Shwu-Ing Wu The relationship between consumer characteristics and attitude toward online shopping , 2003 .

[38]  In Lee,et al.  An empirical examination of factors influencing the intention to use mobile payment , 2010, Comput. Hum. Behav..

[39]  G. Dowling Perceived risk: The concept and its measurement , 1986 .

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

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

[42]  Mohamed Khalifa,et al.  The Effect of Screen Size on Mobile Phone User Comprehension of Health Information and Application Structure: An Experimental Approach , 2015, Journal of Medical Systems.

[43]  Cheol Park,et al.  A cross‐cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness , 2003 .

[44]  N. Selwyn The information aged: A qualitative study of older adults' use of information and communications technology , 2004 .

[45]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

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

[47]  Louis Leung,et al.  Factors influencing the adoption of interactive TV in Hong Kong: Implications for advertising , 1998 .

[48]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[49]  Shyh-Rong Fang,et al.  ANTECEDENTS AND DISTINCTIONS BETWEEN ONLINE TRUST AND DISTRUST: PREDICTING HIGH- AND LOW-RISK INTERNET BEHAVIORS , 2013 .

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

[51]  R. Staelin,et al.  A Model of Perceived Risk and Intended Risk-handling Activity , 1994 .

[52]  A. Chong Mobile commerce usage activities: The roles of demographic and motivation variables , 2013 .

[53]  Henry H. Emurian,et al.  An overview of online trust: Concepts, elements, and implications , 2005, Comput. Hum. Behav..

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

[55]  Weiguo Fan,et al.  The joint moderating role of trust propensity and gender on consumers' online shopping behavior , 2015, Comput. Hum. Behav..

[56]  Michel Laroche,et al.  Exploring How Intangibility Affects Perceived Risk , 2004 .

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

[58]  Endre Grøtnes,et al.  Standardization as open innovation: two cases from the mobile industry , 2009, Inf. Technol. People.

[59]  David C. Yen,et al.  Online shopping drivers and barriers for older adults: Age and gender differences , 2014, Comput. Hum. Behav..

[60]  Wen Li,et al.  An Empirical Analysis of Factors Influencing M-Shopping Use , 2015, Int. J. Hum. Comput. Interact..

[61]  Charles F. Hofacker,et al.  Measuring Consumer Innovativeness , 1991 .

[62]  Paul E. Green,et al.  The Journal of Marketing Research: Its Initiation, Growth, and Knowledge Dissemination , 2003 .

[63]  Thomas F. Stafford,et al.  International and Cross-Cultural Influences on Online Shopping Behavior , 2004 .

[64]  Chieh-Peng Lin,et al.  Gender differs: assessing a model of online purchase intentions in e‐tail service , 2005 .

[65]  Rakhi Thakur,et al.  Customer usage intention of mobile commerce in India: an empirical study , 2013 .

[66]  Tugrul U. Daim,et al.  Exploring technology acceptance for mobile services , 2011 .

[67]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[68]  Yi-Shun Wang,et al.  Understanding Individual Adoption of Mobile Booking Service: An Empirical Investigation , 2008, Cyberpsychology Behav. Soc. Netw..

[69]  Michael Groß Mobile shopping: a classification framework and literature review , 2015 .

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

[71]  Ming Chien Hung,et al.  An exploratory study on the continuance of mobile commerce: an extended expectation-confirmation model of information system use , 2007, Int. J. Mob. Commun..

[72]  David Meyer,et al.  The role of perceived enjoyment and social norm in the adoption of technology with network externalities , 2008, Eur. J. Inf. Syst..

[73]  P. Gillett In-Home Shoppers. An Overview , 1976 .

[74]  Thamaraiselvan Natarajan,et al.  Understanding the intention to use mobile shopping applications and its influence on price sensitivity , 2017 .

[75]  William J. Kettinger,et al.  Pragmatic Perspectives on the Measurement of Information Systems Service Quality Analysis with LISREL : An Appendix to Pragmatic Perspectives on the Measurement of Information Systems Service Quality , 2002 .

[76]  S. Baron,et al.  Online Surveys in Marketing Research , 2002 .

[77]  C. Ruiz-Mafé,et al.  The role of consumer innovativeness and perceived risk in online banking usage , 2009 .

[78]  Mala Srivastava,et al.  Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India , 2014, Internet Res..

[79]  Jing Zhu,et al.  A meta-analysis of mobile commerce adoption and the moderating effect of culture , 2012, Comput. Hum. Behav..

[80]  Tino Fenech,et al.  Web retailing adoption: exploring the nature of internet users Web retailing behaviour , 2003 .

[81]  Eric van Heck,et al.  Why are customers coming back to buy their airline tickets online? theoretical explanations and empirical evidence , 2005, ICEC '05.

[82]  Stanley Widrick,et al.  Attitude and age differences in online buying , 2005 .