An inductive ethnographic study in elderly woman technology adoption and the role of her children

Elderly woman strives to have a streamlined life surrounded by ease and familiarity. As she is aging, her desire for simplicity grows, her self-efficacy weakens, her prudency intensifies and her overall inclination toward status quo strengthens. As a result, she delays, or refuses, making any decision that might bring complexity and disrupt the continuity in her life, particularly new and unfamiliar technologies (which often bring complexity, before providing ease). Consequently, her technology adoption has a much lower rate than that of other demographics. To open the black box of elderly woman technology adoption process, this study focuses on the role of the most significant population of "gatekeeping" group, children, to examine how this potential influence plays out in the elderly women adoption process of technology. Using grounded theory approach and case study, it investigates how the process of technology adoption by elderly woman develops and what is the role of the "gatekeeping" children in the adoption. This qualitative research using ethnographic interview and fuzzy cognitive mapping in addition to the traditional qualitative analysis coding. It validates the current technology adoption theories, particularly Unified Theory of Acceptance and Use of Technology (UTAUT), in the context of elderly technology adoption. However, it shows the importance of expanding such theories and unpacking the abstract constructs in the context studied to facilitate the emergence of empirical insight that can lead to implementable strategies. There are two key findings emerged from this research: 1) Domestication is a key process in the successful adoption as it allows the elderly woman to try and become familiar and hence find the technology easy to use and then useful. 2) Caregiving children play a critical role in influencing the elderly woman technology adoption. This critical role is materialized in suggesting, modeling, providing facilitating condition and Intervening in the adoption.

[1]  Leslie Haddon,et al.  Roger Silverstone’s legacies: domestication , 2007, New Media Soc..

[2]  A. Bandura Social Foundations of Thought and Action , 1986 .

[3]  L W Poon,et al.  Age and iconic read-out. , 1982, Journal of gerontology.

[4]  Seth M. Noar,et al.  Facilitating progress in health behaviour theory development and modification: the reasoned action approach as a case study , 2014, Health psychology review.

[5]  R. Silverstone,et al.  Information and communication technologies and the moral economy of the household , 2003 .

[6]  G. Kok,et al.  The Theory of Planned Behavior: A Review of its Applications to Health-Related Behaviors , 1996, American journal of health promotion : AJHP.

[7]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[8]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[9]  Alexander Peine,et al.  The sources of use knowledge: towards integrating the dynamics of technology use and design in the articulation of societal challenges , 2012 .

[10]  N. Chappell,et al.  Receptivity to new technology among older adults. , 1999, Disability and rehabilitation.

[11]  R. Iyer,et al.  The elderly's uses and attitudes towards the Internet , 2004 .

[12]  Per E. Pedersen,et al.  Modifying adoption research for mobile Internet service adoption: cross-disciplinary interactions , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[13]  Margaret E. Morris,et al.  Embedded Assessment: Overcoming Barriers to Early Detection with Pervasive Computing , 2005, Pervasive.

[14]  Alexander Peine,et al.  Understanding the dynamics of technological configurations: A conceptual framework and the case of Smart Homes , 2009 .

[15]  Viswanath Venkatesh,et al.  Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior , 2005, IEEE Transactions on Engineering Management.

[16]  M. Markus,et al.  Information technology and organizational change: causal structure in theory and research , 1988 .

[17]  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.

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

[19]  Fabio Pianesi,et al.  Useful, Social and Enjoyable: Mobile Phone Adoption by Older People , 2009, INTERACT.

[20]  Meika Loe,et al.  Doing it my way: old women, technology and wellbeing. , 2010, Sociology of health & illness.

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

[22]  Noshad Rahimi,et al.  Explaining health technology adoption: Past, present, future , 2015, 2015 Portland International Conference on Management of Engineering and Technology (PICMET).

[23]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[24]  Martina Ziefle,et al.  Smart clothing: Perceived benefits vs. perceived fears , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[25]  James D. Wright,et al.  Work Satisfaction and Age: Some Evidence for the ‘Job Change’ Hypothesis , 1978 .

[26]  A. Pettigrew Longitudinal Field Research on Change: Theory and Practice , 1990 .

[27]  Juliet M. Corbin,et al.  Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory , 2008 .

[28]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

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

[30]  Suzanne Rivard,et al.  Investigating the Support Role of the Information Center , 1990, MIS Q..

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

[32]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[33]  Richard Shepherd,et al.  The dimensional structure of the perceived behavioral control construct , 1997 .

[34]  Ming-Chien Hung,et al.  An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[35]  Maria Karavidas,et al.  The effects of computers on older adult users , 2005, Comput. Hum. Behav..

[36]  Maryalice Jordan-Marsh,et al.  Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective , 2010, Comput. Hum. Behav..

[37]  Meika Loe Comfort and medical ambivalence in old age , 2015 .

[38]  J. Weatherall A GROUNDED THEORY ANALYSIS OF OLDER ADULTS AND INFORMATION TECHNOLOGY , 2000 .

[39]  R. Silverstone Television And Everyday Life , 1994 .

[40]  Jane Ogden,et al.  Some problems with social cognition models: a pragmatic and conceptual analysis. , 2003, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[41]  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..

[42]  Chorng-Shyong Ong,et al.  Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..

[43]  D. Kline Ageing and the spatiotemporal discrimination performance of the visual system , 1987, Eye.

[44]  Maxine Saborowski,et al.  “How do you care for technology?” – Care professionals' experiences with assistive technology in care of the elderly , 2015 .

[45]  Kasper Kok,et al.  Fuzzy Cognitive Maps for futures studies—A methodological assessment of concepts and methods , 2014 .

[46]  Marianne LaFrance,et al.  The Knowledge Acquisition Grid: A Method for Training Knowledge Engineers , 1987, Int. J. Man Mach. Stud..

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

[48]  Martina Ziefle,et al.  A Small but Significant Difference - The Role of Gender on Acceptance of Medical Assistive Technologies , 2010, USAB.

[49]  Laku Chidambaram,et al.  A test of the technology acceptance model: the case of cellular telephone adoption , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[50]  L. Haddon Domestication and Mobile Telephony , 2001 .

[51]  Sri Hastuti Kurniawan Mobile phone design for older persons , 2007, INTR.

[52]  Seth M. Noar,et al.  Theory development in health promotion: are we there yet? , 2010, Journal of Behavioral Medicine.

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

[54]  Florian Kohlbacher,et al.  The limits of participatory technology development: The case of service robots in care facilities for older people , 2015 .

[55]  GuoXitong,et al.  Understanding gender differences in m-health adoption: a modified theory of reasoned action model. , 2014 .

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

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

[58]  Karen Renaud,et al.  Predicting technology acceptance and adoption by the elderly: a qualitative study , 2008, SAICSIT '08.

[59]  C. Yu Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model , 2012 .

[60]  E M Rogers,et al.  The Origins and Development of the Diffusion of Innovations Paradigm as an Example of Scientific Growth , 1995, Science communication.

[61]  Sven Laumer,et al.  Technology Adoption by Elderly People - An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites , 2011, Wirtschaftsinformatik.