The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Enabling smart retail settings via mobile augmented reality shopping apps
Open accessAbstract
Retail settings are being challenged to become smarter and provide greater value to both consumers and retailers. An increasingly recognised approach having potential for enabling smart retail is mobile augmented reality (MAR) apps. In this research, we seek to describe and discover how, why and to what extent MAR apps contribute to smart retail settings by creating additional value to customers as well as benefiting retailers. In particular, by adopting a retail customer experience perspective on value creation, analysing the content of MAR shopping apps currently available, and conducting large-scale surveys on United States smartphone users representing early technology adopters, we assess level of use, experiential benefits offered, and retail consequences. Our findings suggest that take-up is set to go mainstream as user satisfaction is relatively high and their use provides systematic experiential benefits along with advantages to retailers. Despite some drawbacks, their use is positively associated with multiple retail consequences. MAR apps are seen as changing consumer behaviour and are associated with increasingly high user valuations of retailers offering them. Implications for more effective use to enable smart retail settings are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Azuma, R. T. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.4.355 · Cited by 10,121
A Taxonomy of Mixed Reality Visual Displays
Milgram, P., & Kishino, F. (1994) · IEICE Transactions on Information and Systems · Cited by 4,905
Brand Experience: What is It? How is it Measured? Does it Affect Loyalty?
Brakus, J. J., Schmitt, B. H., & Zarantonello, L. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.3.052 · Cited by 4,415
User Acceptance of Hedonic Information Systems1
van der Heijden, H. (2004) · MIS Quarterly · doi:10.2307/25148660 · Cited by 3,850
Mathwick, C., Malhotra, N., & Rigdon, E. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(00)00045-2 · Cited by 2,158
Laverty, S. M. (2003) · International Journal of Qualitative Methods · doi:10.1177/160940690300200303 · Cited by 2,095
Service logic revisited: who creates value? And who co‐creates?
Grönroos, C. (2008) · European Business Review · doi:10.1108/09555340810886585 · Cited by 1,844
(2014) · Research Methods and Statistics for Public and Nonprofit Administrators: A Practical Guide · doi:10.4135/9781544307763.n14 · Cited by 1,675
Value co-creation in service logic: A critical analysis
Grönroos, C. (2011) · Marketing Theory · doi:10.1177/1470593111408177 · Cited by 1,587
Cited by
Generation Z consumers’ expectations of interactions in smart retailing: A future agenda
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.058 · Cited by 838
Augmented reality marketing: How mobile AR-apps can improve brands through inspiration
Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.004 · Cited by 747
Hilken, T., de Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0541-x · Cited by 693
Survey on Network Slicing for Internet of Things Realization in 5G Networks
Wijethilaka, S., & Liyanage, M. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3067807 · Cited by 451
We ARe at home: how augmented reality reshapes mobile marketing and consumer-brand relationships.
Scholz, J., & Duffy, K. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.05.004 · Cited by 397
Kowalczuk, P., Siepmann (née Scheiben), C., & Adler, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.10.050 · Cited by 373
Nikhashemi, S. R., Knight, H. H., Nusair, K., & Liat, C. B. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102464 · Cited by 366
Holdack, E., Lurie-Stoyanov, K., & Fromme, H. F. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102259 · Cited by 298
Brannon Barhorst, J., McLean, G., Shah, E., & Mack, R. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.041 · Cited by 293
Making omnichannel an augmented reality: the current and future state of the art
Hilken, T., Heller, J., Chylinski, M., Keeling, D. I., Mahr, D., & de Ruyter, K. (2018) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-01-2018-0023 · Cited by 266
Qin, H., Peak, D. A., & Prybutok, V. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102337 · Cited by 259
Daassi, M., & Debbabi, S. (2021) · Information & Management · doi:10.1016/j.im.2021.103453 · Cited by 239
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00020-1 · Cited by 82
A multi-method approach to examining consumer intentions to use smart retail technology
Fazal-e-Hasan, S. M., Amrollahi, A., Mortimer, G., Adapa, S., & Balaji, M. S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106622 · Cited by 76
The critical factors shaping customer shopping experiences with innovative technologies
Ylilehto, M., Komulainen, H., & Ulkuniemi, P. (2021) · Baltic Journal of Management · doi:10.1108/bjm-02-2021-0049 · Cited by 62
Augmented reality (AR) marketing and consumer responses: a study of cue-utilization and habituation
Söderström, C., Mikalef, P., Dypvik Landmark, A., & Gupta, S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114813 · Cited by 51
Exploring the role of augmented reality in purchase intention: Through flow and immersive experience
Pathak, K., & Prakash, G. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122833 · Cited by 40
Metadata
- Authors
- Dacko, S. G.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 124
- Pages
- 243-256
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2528505440
- Cited by
- 543
- References
- 53
- FWCI
- 61.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.