Evolution of technology perceptions over time

Purpose – As the information society further develops, electronic services are created and physical distribution networks become sparse, it is important to analyse the determinants that inhibit or facilitate the ability to use these services. By focusing on the perceived behavioural control of computers, the purpose of this paper is to analyse how perceived physical restrictions, computer anxiety and ease of use influence the perceptions of control. Design/methodology/approach – The authors examined older consumers (aged 60-79) in two cross-sectional studies conducted through mail surveys in 2004 and 2012. Randomized samples (n=1,000 in 2004 and n=3,000 in 2012) were drawn from the Finnish Population Register. The empirical research utilized structural equation modelling through multi-group analysis to explore the differences in the interrelationships between physical restrictions, computer anxiety, perceived ease of use and perceived behavioural control. Findings – The results indicate that perceived beh...

[1]  Magid Igbaria,et al.  The effects of self-efficacy on computer usage , 1995 .

[2]  Viswanath Venkatesh,et al.  Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research , 2010, J. Manag. Inf. Syst..

[3]  Tsipi Heart,et al.  Older adults: Are they ready to adopt health-related ICT? , 2013, Int. J. Medical Informatics.

[4]  Douglas E. Loyd,et al.  The Reliability and Validity of an Instrument for the Assessment of Computer Attitudes , 1985 .

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

[6]  Hemant V. Kher,et al.  A longitudinal examination of computer self-efficacy change trajectories during training , 2013, Comput. Hum. Behav..

[7]  Philip Bobko,et al.  The Computer Understanding and Experience Scale: a self-report measure of computer experience , 1998 .

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

[9]  E. Kelloway Using LISREL for Structural Equation Modeling: A Researcher′s Guide , 1998 .

[10]  Gordon W. Waugh,et al.  Assessing Computer Anxiety , 1989, Psychological reports.

[11]  Dong‐Hee Shin,et al.  Cross‐analysis of usability and aesthetic in smart devices: what influences users' preferences? , 2012 .

[12]  John L. Christensen,et al.  Predicting Continuance—Findings From a Longitudinal Study of Older Adults Using an eHealth Newsletter , 2014, Health communication.

[13]  Lisa A. Newland,et al.  Remote patient monitoring acceptance trends among older adults residing in a frontier state , 2015, Comput. Hum. Behav..

[14]  Mika Immonen,et al.  Telecare services for aging people: Assessment of critical factors influencing the adoption intention , 2013, Comput. Hum. Behav..

[15]  Mun Y. Yi,et al.  Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures , 2006, Decis. Sci..

[16]  Ulf Olsson,et al.  Maximum likelihood estimation of the polychoric correlation coefficient , 1979 .

[17]  Jiun‐Sheng Chris Lin,et al.  Refinement of the technology readiness index scale: A replication and cross‐validation in the self‐service technology context , 2012 .

[18]  Alan R. Dennis,et al.  Profiting from Knowledge Management: The Impact of Time and Experience , 2011, Inf. Syst. Res..

[19]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[20]  Silvan S. Tomkins,et al.  AFFECT AND BEHAVIOR: ANXIETY AS A NEGATIVE AFFECT. , 1965 .

[21]  Yeliz Yesilada,et al.  Mobile device impairment … similar problems, similar solutions? , 2011, Behav. Inf. Technol..

[22]  Yvonne Barnard,et al.  Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability , 2013, Comput. Hum. Behav..

[23]  Neil Selwyn,et al.  Students' attitudes toward computers: Validation of a computer attitude scale for 16-19 education , 1997, Comput. Educ..

[24]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[25]  Michael Glassman,et al.  Beyond search and communication: Development and validation of the Internet Self-efficacy Scale (ISS) , 2013, Comput. Hum. Behav..

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

[27]  David C. Yen,et al.  Exploring user acceptance of an e-hospital service: An empirical study in Taiwan , 2015, Comput. Stand. Interfaces.

[28]  Francesco Virili,et al.  Network effects in technology acceptance: Laboratory experimental evidence , 2010, Int. J. Inf. Manag..

[29]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[30]  Angela F. L. Wong,et al.  Computer anxiety and its correlates : a meta-analysis , 1999 .

[31]  Sajay Arthanat,et al.  "Who over 65 is online?" Older adults' dispositions toward information communication technology , 2015, Comput. Hum. Behav..

[32]  P. Patterson,et al.  The Roles of Habit, Self-Efficacy, and Satisfaction in Driving Continued Use of Self-Service Technologies , 2013 .

[33]  A. Kilpeläinen,et al.  Information Technology and everyday life in ageing rural villages , 2014 .

[34]  Janet H. Marler,et al.  The dual nature of prior computer experience: More is not necessarily better for technology acceptance , 2013, Comput. Hum. Behav..

[35]  Steve Wallace,et al.  Culture and the Importance of Usability Attributes , 2013, Inf. Technol. People.

[36]  Weidong Xia,et al.  A longitudinal experimental study on the interaction effects of persuasion quality, user training, and first-hand use on user perceptions of new information technology , 2011, Inf. Manag..

[37]  J. J. Po-An Hsieh,et al.  ScholarWorks @ Georgia State University , 2016 .

[38]  Melissa S. Burnett,et al.  Marketing Product Innovations to the Elderly: Understanding the Barriers to Adoption , 1992 .

[39]  Joost van Hoof,et al.  Factors influencing acceptance of technology for aging in place: A systematic review , 2014, Int. J. Medical Informatics.

[40]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[41]  E. Rogers Diffusion of Innovations , 1962 .

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

[43]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[44]  Brian D. Carpenter,et al.  Computer use among older adults in a naturally occurring retirement community , 2007, Comput. Hum. Behav..

[45]  M. Gilly,et al.  MARY C. GILLY, MARY WOLFINBARGER CELSI, AND HOPE JENSEN SCHAU It Don't Come Easy: Overcoming Obstacles to Technology Use Within a Resistant Consumer Group , 2012 .

[46]  Daniela Haluza,et al.  ICT and the future of health care: aspects of health promotion , 2015, Int. J. Medical Informatics.

[47]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

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

[49]  Chia-Hui Chang,et al.  Assessing the performance of long-term care information systems and the continued use intention of users , 2015, Telematics Informatics.

[50]  E. Agree,et al.  The potential for technology to enhance independence for those aging with a disability. , 2014, Disability and health journal.

[51]  Annelies Raes,et al.  Student acceptance of tablet devices in secondary education: A three-wave longitudinal cross-lagged case study , 2014, Comput. Hum. Behav..

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

[53]  Vicki L. Hanson Technology skill and age: what will be the same 20 years from now? , 2011, Universal Access in the Information Society.

[54]  Kwoting Fang,et al.  The use of a decomposed theory of planned behavior to study Internet banking in Taiwan , 2004, Internet Res..

[55]  Pernilla Gripenberg,et al.  Computer self-efficacy in the information society: Design of learning strategies, mechanisms and skill areas , 2011, Inf. Technol. People.

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

[57]  Josep Blat,et al.  Older People Becoming Successful ICT Learners Over Time: Challenges and Strategies Through an Ethnographical Lens , 2013 .

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

[59]  Zinta S. Byrne,et al.  Is Justice the Same for Everyone? Examining Fairness Items Using Multiple-group Analysis , 2009 .

[60]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[61]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

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

[63]  Yan Li,et al.  Senior Citizens' Acceptance of Information Systems: A Study in the Context of e-Government Services , 2006, IEEE Transactions on Engineering Management.

[64]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[65]  Hsin-Kai Wu,et al.  An investigation of teachers' beliefs and their use of technology-based assessments , 2014, Comput. Hum. Behav..

[66]  Garry Wei-Han Tan,et al.  Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card , 2016, Expert Syst. Appl..

[67]  Linda L. Price,et al.  An Investigation into the Social Context of Early Adoption Behavior , 1992 .

[68]  Sergio Toral,et al.  The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments , 2015 .

[69]  Hiroko H. Dodge,et al.  Computer-related self-efficacy and anxiety in older adults with and without mild cognitive impairment , 2012, Alzheimer's & Dementia.

[70]  Anand Jeyaraj,et al.  Information technology adoption and continuance: A longitudinal study of individuals' behavioral intentions , 2013, Inf. Manag..

[71]  Siong-Hoe Lau,et al.  Understanding the behavior changes in belief and attitude among experienced and inexperienced learning object users , 2009, Comput. Educ..

[72]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[73]  Mary Jo Bitner,et al.  The influence of technology anxiety on consumer use and experiences with self-service technologies , 2003 .

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

[75]  G. Grisetti,et al.  Further Reading , 1984, IEEE Spectrum.

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

[77]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[78]  C. R. Glass,et al.  Cognitive factors in computer anxiety , 1988, Cognitive Therapy and Research.