The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Baby boom consumers and technology: shooting down stereotypes
Abstract
Purpose Current stereotypes of aging consumers paint a picture of them as technology anxious and reluctant to adopt new technologies. This paper aims to show that the present 50-to-60 age group does not fit these stereotypes. Design/methodology/approach A total of 620 Finnish baby boomers (aged between 50 and 60) responded to a mail survey. Findings Baby boom consumers are shown, in contrast to the stereotypes, to have low levels of technology anxiety and high levels of experience of internet and SMS usage. It is also shown that technology anxiety and experience have an inverse relationship in the age group. Research limitations/implications To some extent, the results provide evidence of the distortedness of current stereotypes that are used to describe 50-plus consumers. However, data was gathered only in one country. Replications of this study in different countries would allow drawing broader conclusions. Practical implications Marketers of technological products and services are advised to let go of the outdated stereotypes, familiarize themselves with today's 50-plus consumers and when applicable, invest effort in serving this market. Originality/value While there exists some research on aging consumers as Internet users, this study offers a more general view on aging consumers and their use of technological services by examining technology anxiety within this specific market. The results should be of value to both academicians and practitioners in realizing the potential of the mature market.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Theory and Research on Anxiety
Spielberger, C. D. (1966) · Elsevier eBooks · doi:10.1016/b978-1-4832-3131-0.50006-8 · Cited by 1,353
The influence of technology anxiety on consumer use and experiences with self-service technologies
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003) · Journal of Business Research · doi:10.1016/s0148-2963(01)00276-4 · Cited by 1,247
Thatcher, J. B., & Perrewé, P. L. (2002) · MIS Quarterly · doi:10.2307/4132314 · Cited by 773
Computer anxiety and its correlates: a meta-analysis
Chua, S. L., Chen, D.-T., & Wong, A. F. L. (1999) · Computers in Human Behavior · doi:10.1016/s0747-5632(99)00039-4 · Cited by 477
Age Differences in Attitudes Toward Computers
Czaja, S. J., & Sharit, J. (1998) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/53b.5.p329 · Cited by 380
Age Differences in Computer Anxiety: The Role of Computer Experience, Gender and Education
Dyck, J. L., & Smither, J. A.-A. (1994) · Journal of Educational Computing Research · doi:10.2190/e79u-vcrc-el4e-hryv · Cited by 306
A phenomenological investigation of Internet usage among older individuals
Trocchia, P. J., & Janda, S. (2000) · Journal of Consumer Marketing · doi:10.1108/07363760010357804 · Cited by 222
Market Segmentation by Cohorts: The Value and Validity of Cohorts in America and Abroad
Schewe, C. D., & Noble, S. M. (2000) · Journal of Marketing Management · doi:10.1362/026725700785100479 · Cited by 211
Technophobia: The psychological impact of information technology
(1999) · Psychology of Education Review · doi:10.53841/bpsper.1999.23.2.38 · Cited by 206
The elderly's uses and attitudes towards the Internet
Eastman, J. K., & Iyer, R. (2004) · Journal of Consumer Marketing · doi:10.1108/07363760410534759 · Cited by 206
Research works printed but not linked: 1
- Braus, 1995, The baby boom at mid-decade, American Demographics, 17, 40
Cited by
Sorted by citations
Lee, C., & Coughlin, J. F. (2015) · Journal of Product Innovation Management · doi:10.1111/jpim.12176 · Cited by 771
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model
Muñoz‐Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. J. (2017) · Spanish Journal of Marketing - ESIC · doi:10.1016/j.sjme.2016.12.001 · Cited by 556
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age
Liébana-Cabanillas, F. J., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.03.022 · Cited by 523
Macedo, I. M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.013 · Cited by 402
Liébana-Cabanillas, F. J., Muñoz‐Leiva, F., & Sánchez‐Fernández, J. (2017) · Service Business · doi:10.1007/s11628-017-0336-7 · Cited by 209
The rise of the “innosumer”—Rethinking older technology users
Peine, A., Rollwagen, I., & Neven, L. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.06.013 · Cited by 188
Kuerbis, A., Mulliken, A., Muench, F. J., Moore, A. A., & Gardner, D. S. (2017) · Mental Health and Addiction Research · doi:10.15761/mhar.1000136 · Cited by 174
Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables
Cabrera-Sánchez, J.-P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2020.101529 · Cited by 146
A multivariate segmentation model of senior consumers
Sudbury‐Riley, L., & Simcock, P. (2009) · Journal of Consumer Marketing · doi:10.1108/07363760910965855 · Cited by 144
Peković, S., & Rolland, S. E. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102171 · Cited by 184
The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems
Henkens, B., Verleye, K., & Larivière, B. (2020) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2020.09.006 · Cited by 164
Gardiner, S. J., Grace, D., & King, C. (2014) · Journal of Travel Research · doi:10.1177/0047287514530810 · Cited by 135
Hur, H. J., Lee, H. K., & Choo, H. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.051 · Cited by 128
Gardiner, S. J., King, C., & Grace, D. (2012) · Journal of Travel Research · doi:10.1177/0047287512467699 · Cited by 123
Factors that determine the adoption of Facebook commerce: The moderating effect of age
Liébana-Cabanillas, F. J., & Santos, M. A. D. (2017) · Journal of Engineering and Technology Management · doi:10.1016/j.jengtecman.2017.03.001 · Cited by 114
Understanding older consumers through cognitive age and the list of values: A U.K.‐based perspective
Sudbury‐Riley, L., & Simcock, P. (2008) · Psychology and Marketing · doi:10.1002/mar.20260 · Cited by 110
Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021) · Journal of Financial Services Marketing · doi:10.1057/s41264-021-00104-1 · Cited by 132
Older Consumers, Digital Marketing, and Public Policy: A Review and Research Agenda
Nunan, D., & Domenico, M. D. (2019) · Journal of Public Policy & Marketing · doi:10.1177/0743915619858939 · Cited by 120
Online Recommendation Systems: Factors Influencing Use in E-Commerce
Cabrera-Sánchez, J.-P., de Luna, I. R., Carvajal-Trujillo, E., & Ramos, Á. F. V. (2020) · Sustainability · doi:10.3390/su12218888 · Cited by 104
López-Carreiro, I., de Cáceres, A. M., López, E., & Lambas, M. E. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101392 · Cited by 91
From digital divide to psycho-digital divide: Elders and online social networks
Peral, B. P., Arenas-Gaitán, J., & Ramos, Á. F. V. (2015) · Comunicar · doi:10.3916/c45-2015-06 · Cited by 90
Kwon, W., & Noh, M. (2010) · Journal of Fashion Marketing and Management · doi:10.1108/13612021011061825 · Cited by 87
Berg, H., & Liljedal, K. T. (2022) · International Journal of Consumer Studies · doi:10.1111/ijcs.12830 · Cited by 80
Digital Payments and Financial Wellbeing of the Rural Poor: The Moderating Role of Age and Gender
Dzogbenuku, R. K., Amoako, G. K., Kumi, D. K., & Bonsu, G. A. (2021) · Journal of International Consumer Marketing · doi:10.1080/08961530.2021.1917468 · Cited by 84
Through a Glass Darkly: The Social Sciences Look at the Neoliberal University
Thornton, M. (2015) · ANU Press eBooks · doi:10.22459/tgd.11.2015 · Cited by 68
Sintonen, S., & Immonen, M. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.01.037 · Cited by 68
Typology of senior travellers as users of tourism information technology
Pesonen, J. A., Komppula, R., & Riihinen, A. (2015) · Information Technology & Tourism · doi:10.1007/s40558-015-0032-1 · Cited by 75
Mannheim, I., Wouters, E., van Boekel, L. C., & van Zaalen, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/26232 · Cited by 61
Exploring factors which motivate older consumers’ self-service technologies (SSTs) adoption
Lee, H., & Lyu, J. (2019) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2019.1575261 · Cited by 56
Nurses’ Generational Differences Related to Workplace and Leadership in Two European Countries
Stevanin, S., Voutilainen, A., Bressan, V., Vehviläinen-Julkunen, K. M., Rosolen, V., & Kvist, T. A. (2019) · Western Journal of Nursing Research · doi:10.1177/0193945919838604 · Cited by 55
Self-efficacy and anxiety as determinants of older adults’ use of Internet Banking Services
Peral, B. P., Ramos, Á. F. V., & Arenas-Gaitán, J. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-019-00691-w · Cited by 49
Wilson‐Nash, C., & Tinson, J. (2021) · Journal of Marketing Management · doi:10.1080/0267257x.2021.1945662 · Cited by 39
Baby Boomers of different nations
Sudbury‐Riley, L., Kohlbacher, F., & Tóth, Á. H. (2015) · International Marketing Review · doi:10.1108/imr-09-2013-0221 · Cited by 44
Applying the Disruptive Innovation Framework to the Silver Market
Kohlbacher, F., & Hang, C. C. (2010) · Ageing International · doi:10.1007/s12126-010-9076-x · Cited by 47
Challenges of Older Drivers’ Adoption of Advanced Driver Assistance Systems and Autonomous Vehicles
Souders, D. J., & Charness, N. H. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-39949-2_41 · Cited by 44
Lee, H., Park, Y. R., Kim, H. R., Kang, N. Y., Oh, G., Jang, I., & Lee, E. (2020) · Journal of Medical Internet Research · doi:10.2196/16614 · Cited by 42
Unwrapping senior consumers’ packaging experiences
Sudbury‐Riley, L. (2014) · Marketing Intelligence & Planning · doi:10.1108/mip-02-2013-0027 · Cited by 40
Wearable Technologies: Acceptance Model for Smartwatch Adoption Among Older Adults
Lazaro, M. J., Lim, J., Kim, S. H., & Yun, M. H. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50252-2_23 · Cited by 41
Exploring the impact of packaging interactions on quality of life among older consumers
Ford, N., Trott, P., & Simms, C. (2016) · Journal of Marketing Management · doi:10.1080/0267257x.2015.1123758 · Cited by 41
Kuerbis, A., Mulliken, A., Muench, F. J., Moore, A. A., & Gardner, D. K. (2017) · doi:10.31235/osf.io/3qudt · Cited by 35
It’s not how old you are but how you are old: A review on aging and consumer behavior
Zniva, R., & Weitzl, W. (2016) · Management Review Quarterly · doi:10.1007/s11301-016-0121-z · Cited by 34
Older consumers and technology: A critical systematic literature review
Franco, P. (2023) · AMS Review · doi:10.1007/s13162-023-00256-4 · Cited by 33
Aleti, T., Figueiredo, B., Martin, D. M., & Reid, M. (2024) · Australasian Marketing Journal · doi:10.1177/14413582231187652 · Cited by 30
Intention to shop online: A study of Malaysian baby boomers
Lim, Y. M., Yap, C. S., & Lee, T. H. (2011) · Global Journal of Business Management · doi:10.5897/ajbm10.640 · Cited by 30
Birkland, J. L. H. (2022) · New Media & Society · doi:10.1177/14614448221108959 · Cited by 39
A study of Canadian female baby boomers
Rahman, O., & Yu, H. X. (2018) · Journal of Fashion Marketing and Management · doi:10.1108/jfmm-09-2017-0100 · Cited by 29
The Ten Shades of Silver: Segmentation of Older Adults in the Mobile Phone Market
Petrovčič, A., Slavec, A., & Dolničar, V. (2018) · International journal of human computer interactions · doi:10.1080/10447318.2017.1399328 · Cited by 30
Ostrowski, A. K., Harrington, C. N., Breazeal, C., & Park, H. W. (2021) · Frontiers in Robotics and AI · doi:10.3389/frobt.2021.716581 · Cited by 26
“Additionally, while older adults are typically stereotyped as being tech-illiterate Niemelä-Nyrhinen (2007), P04 provided a different viewpoint as a retired technologist, questioning this stereotype of older adults.”
BackgroundA posteriori segmentation of elderly internet users: applying PLS-POS
Arenas-Gaitán, J., Ramos, Á. F. V., & Peral, B. P. (2019) · Marketing Intelligence & Planning · doi:10.1108/mip-01-2019-0057 · Cited by 24
A Study on Elderly Individuals’ Attitude Towards ICTs
Aishwarya, P., Mishra, W., & Kadam, S. (2019) · Smart innovation, systems and technologies · doi:10.1007/978-981-13-5977-4_61 · Cited by 23
The Digital Engagement of Older People: Systematic Scoping Review Protocol
Kebede, A. S., Ozolins, L., Holst, H., & Galvin, K. (2021) · JMIR Research Protocols · doi:10.2196/25616 · Cited by 21
Molina, M. E. R., Saura, I. G., & Garcı́a, H. C. (2010) · Cuadernos de Economía y Dirección de la Empresa · doi:10.1016/s1138-5758(10)70010-4 · Cited by 20
Tell What You Want but Do Not Irritate Me: A Senior Perspective About Advertising
Loureiro, S. M. C. (2017) · Journal of Promotion Management · doi:10.1080/10496491.2017.1360825 · Cited by 20
Massaglia, S., Merlino, V. M., & Borra, D. (2018) · Institutional Research Information System University of Turin (University of Turin) · Cited by 20
Information and communication technology in retailing: A cross-industry comparison
Saura, I. G., Contrí, G. B., & Molina, M. E. R. (2009) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2008.11.018 · Cited by 20
Fowler‐Davis, S., Barnett, D., Kelley, J. F., & Curtis, D. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190844 · Cited by 20
Generational Differences in Adoption and Use of Information and Communications Technology
Lee, C., & Coughlin, J. F. (2015) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931215591264 · Cited by 19
den Uijl, L. C., Jager, G., de Graaf, C., & Kremer, S. (2016) · Appetite · doi:10.1016/j.appet.2016.09.007 · Cited by 18
Exploring Senior Tourists' Technological Experiences: Based on Embodied Cognitive Theory
Chen, Q., Dongchen, J., & Xiaoting, H. (2024) · International Journal of Tourism Research · doi:10.1002/jtr.2750 · Cited by 15
A Quantitative Analysis of Knowledge Collaboration Enablers for Practicing Engineers
Wong, S. S. K., Cross, J., & Burton, C. M. (2020) · Engineering Management Journal · doi:10.1080/10429247.2020.1780840 · Cited by 15
Adoption of dynamic product imagery for online shopping: does age matter?
Kim, J., & Forsythe, S. M. (2010) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2010.504011 · Cited by 15
Young-elderly individuals´ use of social media for travel purpose
Fabricius, S., & Eriksson, N. (2017) · Tourism & Management Studies · doi:10.18089/tms.2017.13104 · Cited by 14
Are You Efficient, Trendy or Skillfull? An Exploratory Segmentation of Mobile Service Users
Sell, A., Walden, P., & Carlsson, C. P. O. (2010) · International Conference on Mobile Business · doi:10.1109/icmb-gmr.2010.77 · Cited by 14
Sell, A., Walden, P., & Carlsson, C. P. O. (2011) · International Journal of Systems and Service-Oriented Engineering · doi:10.4018/jssoe.2011070101 · Cited by 13
Sintonen, S. (2008) · LUTPub (LUT University) · Cited by 13
Apiraksattayakul, C., Papagiannidis, S., & Alamanos, E. (2017) · International Journal of Online Marketing · doi:10.4018/ijom.2017100101 · Cited by 13
Yu, H. X., & Rahman, O. (2018) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2018.1509800 · Cited by 12
Older Adults’ Experiences with Technology: Learning from Their Voices
Lee, C., Myrick, R., D’Ambrosio, L. A., Coughlin, J. F., & Weck, O. L. D. (2013) · Communications in computer and information science · doi:10.1007/978-3-642-39473-7_51 · Cited by 12
The Impact of Technology Anxiety on the Use of Mobile Financial Applications
Lee, C.-P. (2010) · International Journal of Technology Diffusion · doi:10.4018/jtd.2010100101 · Cited by 12
Franco, P., & Yang, Y. (2021) · Qualitative Market Research An International Journal · doi:10.1108/qmr-07-2020-0094 · Cited by 10
Determinants of religious tourists’ social media usage behaviour
Caber, M., Drori, N., Albayrak, T., & Simonetti, B. (2023) · Current Issues in Tourism · doi:10.1080/13683500.2023.2278747 · Cited by 9
Segmentation of Older Adults in the Acceptance of Social Networking Sites Using Machine Learning
Ramírez-Correa, P., Cataluña, F. J. R., Arenas-Gaitán, J., Grandón, E. E., Alfaro-Peréz, J., & Ramírez-Santana, M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.705715 · Cited by 9
Capitalizing and Compensating: Older Adults’ Religious and Spiritual Uses of Technology
Kang, S. L. C., Endacott, C. G., Gonzales, G. G., & Bengtson, V. L. (2019) · Anthropology & Aging · doi:10.5195/aa.2019.194 · Cited by 14
User-centered system design in an aging society : an integrated study on technology adoption
Lee, C. (2014) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 9
Senior Travellers as Users of Online Travel Services: A Qualitative Enquiry
Pesonen, J. A., Komppula, R., & Riihinen, A. (2014) · Springer eBooks · doi:10.1007/978-3-319-14343-9_60 · Cited by 8
Socialisation Agents’ Use(fulness) for Older Consumers Learning ICT
Aleti, T., Figueiredo, B., Martin, D. M., & Reid, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20031715 · Cited by 7
Weidner, N., & Short, E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108649636.008 · Cited by 8
Retail IT and customer loyalty: The moderating role of customer age
Saura, I. G., Molina, M. E. R., & Garcı́a, H. C. (2010) · Journal of Retail & Leisure Property · doi:10.1057/rlp.2010.13 · Cited by 6
Successful Aging among Older Adults Using Computers: a Systematic Review
Saare, M. A., Hussain, A., & . (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i3.20.18730 · Cited by 6
Empowering the Independence of Older People with Everyday Technologies
Franco, P. (2020) · Springer eBooks · doi:10.1007/978-981-15-2353-3_2 · Cited by 7
Representations of age and ageing in comedy film
Gatling, M. (2023) · ResearchOnline - JCU (James Cook University) · doi:10.25903/erxt-ze03 · Cited by 6
Vargas-Bianchi, L., Mateus, J.-C., Pecho-Ninapaytan, A., & Zambrano-Zuta, S. (2023) · First Monday · doi:10.5210/fm.v28i3.12678 · Cited by 6
PERCEPTUAL DIFFERENCES OF OLDER CUSTOMERS' TO PURCHASE FROM ONLINE: MALAYSIAN PERSPECTIVE
Rahman, M. S., & Hussain, B. (2014) · Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) · Cited by 5
Rahman, O., & Yu, H. (2022) · doi:10.32920/21688970 · Cited by 5
Exploring demographic differences in the adoption of mobile money: M-PESA in Kenya
Ariguzo, G. C., & White, D. S. (2013) · International Journal of Electronic Marketing and Retailing · doi:10.1504/ijemr.2013.060265 · Cited by 4
Arts Organizations and Branding: Creating a New Joint Brand for Three Arts Organizations
Jyrämä, A., Kajalo, S., Johansson, T., & Sirén, A. (2015) · The Journal of Arts Management Law and Society · doi:10.1080/10632921.2015.1062444 · Cited by 4
Innoage: Innovation and Product Development for Aging UsersPreprint
Iffländer, K., Levsen, N., Lorscheid, I., Pakur, S., Wellner, K., Herstatt, C., Lüthje, C., Meyer, M., & Ringle, C. M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2117007 · Cited by 4
Preliminary Validation and Gender Invariance of the Technology Anxiety Scale in Older Spanish Adults
Checa, I., Aires-González, M. D. M., Cano‐García, F. J., & Bueno-Moreno, M. R. (2023) · Clínica y Salud · doi:10.5093/clysa2023a9 · Cited by 3
Naudé, B., Rigaud, A., & Pino, M. (2024) · JMIR Human Factors · doi:10.2196/58051 · Cited by 3
Eriksson, N., & Fabricius, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25013-7_3 · Cited by 3
Andreassen, H., Gjerald, O., & Hansen, K. V. (2022) · British Food Journal · doi:10.1108/bfj-12-2021-1310 · Cited by 3
Az értékválasztás és a kognitív életkor közötti kapcsolat a magyar 50 év feletti lakosság körében
Hofmeister‐Tóth, Á., Neulinger, Á., & Piskóti, M. (2020) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2020.07-08.05 · Cited by 3
Anderson, O. (2011) · UpSpace Institutional Repository (University of Pretoria) · Cited by 3
Old times ahead : the dawn of the ageing consumer
Hohenschon, J. K. (2013) · doi:10.26481/dis.20130308jh · Cited by 3
Vigolo, V., Davey, H., Colurcio, M., & Holz, H. F. (2025) · Journal of Services Marketing · doi:10.1108/jsm-08-2025-0538 · Cited by 3
Wallisch, A., Maccioni, L., Trautmann, L., Ostermeyer, E., Borgianni, Y., & Borg, J. C. (2018) · Proceedings of the ... International Design Conference/Design ... · doi:10.21278/idc.2018.0361 · Cited by 2
Older consumers’ views on online grocery shopping
Eriksson, N., & Stenius, M. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.06.150 · Cited by 2
González, A. J. G., Froment, F., & Gómez-Millán, M. R. B. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2470259 · Cited by 2
Social network sites and elders: An empirical study
Grandón, E. E., Órdenes, L. B., Araya, S., Ramírez-Correa, P., & Alfaro-Peréz, J. (2019) · Iberian Conference on Information Systems and Technologies (CISTI) · doi:10.23919/cisti.2019.8760617 · Cited by 2
Smarter Homes for Older Adults: Building a Framework Around Types and Levels of Autonomy
FakhrHosseini, M. S., Lee, C., & Coughlin, J. F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22015-0_24 · Cited by 2
Metadata
- Authors
- Niemelä-Nyrhinen, J.
- Affiliations
- Department of Marketing, School of Business and Economics, University of Jyväskylä, Jyväskylä, Finland
- Venue
- Journal of Consumer Marketing
- Publisher
- Emerald
- Published
- 2007-08-07
- Volume
- 24
- Issue
- 5
- Pages
- 305-312
- ISSN
- 0736-3761 (ISSN-L)
- 2052-1200
- OpenAlex
- W1979661400
- Cited by
- 125
- References
- 32
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 8 · 2022: 6 · 2021: 12 · 2020: 11 · 2019: 12 · 2018: 6 · 2017: 11 · 2016: 5 · 2015: 10 · 2014: 7 · 2013: 5 · 2012: 7
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Consumer Marketing (publishedVersion)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- baby boomers, older consumers, technology anxiety, technology adoption, stereotypes, internet use, developed markets, consumer technology use
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review