The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
A diffusion of innovation (DOI) analysis of 3D food printing adoption among food sector early adopters
Open accessAbstract
Purpose Research on 3DFP has focused on technical developments and consumer acceptance, but the practical implications of adopting this technology from industry perspectives across food sectors are underexplored. This study aimed to uncover factors influencing 3DFP adoption and the prospects of this technology by interviewing food businesses using 3DFP in different food sectors around the globe. Design/methodology/approach The Diffusion of Innovation (DOI) model, a process-oriented adoption approach, was utilized to understand the technological, adopter and social factors influencing 3DFP adoption in food businesses. Findings Decisions to adopt 3DFP hinged on technology compatibility with business needs, adopters’ innovation and technology interests and perceived public interest. Early adoption cases revealed 3DFP benefits over conventional technologies in improved product design, customization, food versatility, convenience and sustainability. Interconnected barriers to adoption included high investment costs, limited technology capacity, negative consumer perception and a low adoption rate by large companies. Proposed barrier solutions by businesses encompassed improving technology scalability and leveraging food and technology familiarity alongside alternative technology labelling to increase visibility and interest by large companies and consumers. Originality/value To the best of the authors’ knowledge, this is the first study assessing the determinants of early adopting 3DFP, covering perspectives from different food sectors and using the DOI model. The study’s insights are valuable for food industry stakeholders: policymakers, industry leaders, food businesses and researchers. It can guide subsequent adopters’ decision-making and inform future research on technical, social and business aspects to enhance adoption in the promissory food sectors for 3DFP such as protein alternatives.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High cost and scalability of bioinks, consumer acceptance of printed foods, and regulatory needs due to safety and labeling still pose an unresolved challenge.
“The high cost and scalability of bioinks, consumer acceptance of printed foods, and regulatory needs due to safety and labeling still pose an unresolved challenge (Guaqueta-Garcia et al., 2025).”
From Microalgae biotechnology and its role in sustainable and healthy food design (2025) · cites this paper as Guaqueta-Garcia et al., 2025
Section 3.4 reports that high printer costs, limited production capacity and negative consumer perceptions hinder adoption of 3D food printing. Section 3.5 also identifies unclear regulations as an obstacle in the alternative-protein sector. The paper does not establish high costs or scalability problems specifically for bioinks, or identify safety and labeling requirements as the regulatory challenge. (LLM, conf=0.88)
Experimental — accuracy not yet measured
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
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
A hands-on guide to doing content analysis
Erlingsson, C. L., & Brysiewicz, P. (2017) · African Journal of Emergency Medicine · doi:10.1016/j.afjem.2017.08.001 · Cited by 2,377
Future Protein Supply and Demand: Strategies and Factors Influencing a Sustainable Equilibrium
Henchion, M., Hayes, M., Mullen, A., Fenelon, M., & Tiwari, B. (2017) · Foods · doi:10.3390/foods6070053 · Cited by 1,519
A review of technology acceptance and adoption models and theories
Taherdoost, H. (2018) · Procedia Manufacturing · doi:10.1016/j.promfg.2018.03.137 · Cited by 1,162
Consumer acceptance of novel food technologies
Siegrist, M., & Hartmann, C. (2020) · Nature Food · doi:10.1038/s43016-020-0094-x · Cited by 874
3D printing technology: The new era for food customization and elaboration
Dankar, I., Haddarah, A., Omar, F. E. L., Sepulcre, F., & Cunill, M. P. (2018) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2018.03.018 · Cited by 477
Yi, M. Y., Fiedler, K. D., & Park, J.-S. (2006) · Decision Sciences · doi:10.1111/j.1540-5414.2006.00132.x · Cited by 461
Severini, C., Azzollini, D., Albenzio, M., & Derossi, A. (2018) · Food Research International · doi:10.1016/j.foodres.2018.01.034 · Cited by 293
Agi, M. A. N., & Jha, A. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108458 · Cited by 225
The fourth industrial revolution in the food industry—part II: Emerging food trends
Hassoun, A., Bekhit, A. E. A., Jambrak, A. ., Regenstein, J. M., Chemat, F., Morton, J. D., Guðjónsdóttir, M., Carpena, M., Prieto, M. A., Varela, P., et al. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2106472 · Cited by 211
3D food printing—An innovative way of mass customization in food fabrication
Sun, J., Peng, Z., Liangkun, Y., Fuh, J. Y. H., & Hong, G. S. (2015) · International Journal of Bioprinting · doi:10.18063/ijb.2015.01.006 · Cited by 203
Food Texture Design by 3D Printing: A Review
Pereira, T., Barroso, S., & Gil, M. M. (2021) · Foods · doi:10.3390/foods10020320 · Cited by 195
Toward the design of functional foods and biobased products by 3D printing: A review
Portanguen, S., Tournayre, P., Sicard, J., Astruc, T., & Mirade, P.-S. (2019) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2019.02.023 · Cited by 193
INNOVATORS AND EARLY ADOPTERS IN THE DIFFUSION OF INNOVATIONS: A LITERATURE REVIEW
Dedehayir, O., Ortt, R., Riverola, C., & Miralles, F. (2017) · International Journal of Innovation Management · doi:10.1142/s1363919617400102 · Cited by 148
The SAGE Handbook of Qualitative Business and Management Research Methods: History and Traditions
Cassell, C. M., Cunliffe, A. L., & Grandy, G. (2018) · SAGE Publications Ltd eBooks · doi:10.4135/9781526430212 · Cited by 146
Trends and ideas in technology, regulation and public acceptance of cultured meat
Guan, X., Lei, Q., Yan, Q., Li, X., Zhou, J., Du, G., & Chen, J. (2021) · Future Foods · doi:10.1016/j.fufo.2021.100032 · Cited by 139
Kewuyemi, Y. O., Kesa, H., & Adebo, O. A. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1920569 · Cited by 137
Consumers’ attitudes and change of attitude toward 3D-printed food
Brunner, T., Delley, M., & Denkel, C. (2017) · Food Quality and Preference · doi:10.1016/j.foodqual.2017.12.010 · Cited by 135
Hussain, S., Malakar, S., & Arora, V. (2021) · Food Engineering Reviews · doi:10.1007/s12393-021-09293-w · Cited by 128
Printability and Physicochemical Properties of Microalgae-Enriched 3D-Printed Snacks
Uribe-Wandurraga, Z. N., Zhang, L., Noort, M. W. J., Schutyser, M. A. I., García‐Segovia, P., & Martı́nez-Monzó, J. (2020) · Food and Bioprocess Technology · doi:10.1007/s11947-020-02544-4 · Cited by 121
Escalante-Aburto, A., Santiago, G. T.-D., Álvarez, M. M., & Chuck-Hernández, C. (2021) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12849 · Cited by 116
A review on customizing edible food materials into 3D printable inks: Approaches and strategies
Pulatsu, E., & Lin, M. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.11.023 · Cited by 112
A 3D Food Printing Process for the New Normal Era: A Review
Lee, J. (2021) · Processes · doi:10.3390/pr9091495 · Cited by 112
Li, L., Wang, Z., Li, Y., & Liao, A. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.08.022 · Cited by 90
Critical food and nutrition science challenges for plant-based meat alternative products
Tyndall, S. M., Maloney, G. R., Cole, M., Hazell, N. J. G., & Augustin, M. A. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2107994 · Cited by 87
3D printing: Development of animal products and special foods
Bhat, Z. F., Morton, J. D., Kumar, S., Bhat, H. F., Aadil, R. M., & Bekhit, A. E. A. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.09.020 · Cited by 84
Emerging Sustainable Supply Chain Models for 3D Food Printing
Rogers, H., & Srivastava, M. (2021) · Sustainability · doi:10.3390/su132112085 · Cited by 74
Valorisation of vegetable food waste utilising three-dimensional food printing
Pant, A., Leam, P. X. N., Chua, C. K., & Tan, U.-X. (2022) · Virtual and Physical Prototyping · doi:10.1080/17452759.2022.2146593 · Cited by 70
Lee, K.-H., Hwang, K.-H., Kim, M.-S., & Cho, M. (2021) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2021.05.013 · Cited by 65
“I can’t get past the fact that it is printed”: consumer attitudes to 3D printed food
Lupton, D. A., & Turner, B. (2018) · Food Culture & Society · doi:10.1080/15528014.2018.1451044 · Cited by 60
Jayaprakash, S., Paasi, J. A. J., Pennanen, K., Ituarte, I. F., Lille, M. E., Partanen, J. P., & Sözer, N. (2020) · Foods · doi:10.3390/foods9121725 · Cited by 55
A consumer-oriented segmentation study on edible insects in Switzerland and Thailand
Brunner, T. A., & Nuttavuthisit, K. (2019) · British Food Journal · doi:10.1108/bfj-08-2018-0526 · Cited by 53
3D food printing: nutrition opportunities and challenges
Burke-Shyne, S., Gallegos, D., & Williams, T. (2020) · British Food Journal · doi:10.1108/bfj-05-2020-0441 · Cited by 53
Overcoming barriers to consumer acceptance of 3D-printed foods in the food service sector
Ross, M. M., Collins, A., McCarthy, M. B., & Kelly, A. L. (2022) · Food Quality and Preference · doi:10.1016/j.foodqual.2022.104615 · Cited by 51
Derossi, A., Corradini, M. G., Caporizzi, R., Oral, M. O., & Severini, C. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.102417 · Cited by 42
Factors Influencing Adoption of New Technologies into Dental Practice
Matthews, D., McNeil, K., Brillant, M., Tax, C. L., Maillet, P. J., McCulloch, C. A., & Glogauer, M. (2016) · JDR Clinical & Translational Research · doi:10.1177/2380084415627129 · Cited by 40
Innovations and applications of 3‐D printing in food sector
Taneja, A., Sharma, R., Ayush, K., Sharma, A., Khaneghah, A. M., Regenstein, J. M., Barba, F. J., Phimolsiripol, Y., & Sharma, S. (2022) · International Journal of Food Science & Technology · doi:10.1111/ijfs.15691 · Cited by 36
Magaldi, D., & Berler, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-28099-8_857-1 · Cited by 35
The effects of innovative, consumer and social characteristics on willingness to try nano-foods
Chang, H. H., Huang, C. Y., Fu, C. S., & Hsu, M. T. (2017) · Information Technology and People · doi:10.1108/itp-10-2015-0266 · Cited by 31
Effect of Labelling and Information on Consumer Perception of Foods Presented as 3D Printed
Feng, X., Khemacheevakul, K., Siller, S. D. L., Wolodko, J., & Wismer, W. V. (2022) · Foods · doi:10.3390/foods11060809 · Cited by 29
Self-citationSmith, R., Bryant, L., & Hemsley, B. (2022) · American Journal of Speech-Language Pathology · doi:10.1044/2022_ajslp-21-00391 · Cited by 23
Acceptability Analysis of 3D-Printed Food in the Area of the Czech Republic Based on Survey
Těšíková, K., Jurkova, L., Dordević, S., Buchtová, H., Tremlová, B., & Đorđević, Đ. (2022) · Foods · doi:10.3390/foods11203154 · Cited by 21
Survey analysis for the adoption of 3D printing technology: consumers’ perspective
Mavri, M., Fronimaki, E., & Kadrefi, A. (2021) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-02-2020-0023 · Cited by 17
Won, D., Hwang, B., Chi, S., & Kor, J. L. (2022) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0001065 · Cited by 17
Gosine, L., Kean, B., Parsons, C., & McSweeney, M. B. (2020) · Journal of Food Science Education · doi:10.1111/1541-4329.12216 · Cited by 15
Kocaman, Y., Ermiş‐Mert, A., & Özcan, O. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2104835 · Cited by 12
Hemsley, B., Dann, S., Reddacliff, C., Smith, R., Given, F., Gay, V. C., Leong, T. W., Josserand, E., Skellern, K., Bull, C., et al. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2022.2131914 · Cited by 12
Business model patterns in the 3D food printing industry
Nopparat, N., & Motte, D. (2023) · International Journal of Innovation Science · doi:10.1108/ijis-09-2022-0176 · Cited by 12
Food Futures and 3D Printing: Strategic Market Foresight and the Case of Structur3D
Charlebois, S., & Juhasz, M. (2018) · International journal on food system dynamics · doi:10.18461/ijfsd.v9i2.923 · Cited by 11
Smith, R., Bryant, L., & Hemsley, B. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2022.2142681 · Cited by 11
Examining the key determinants of the jordanian customer’s adoption of genetically modified food
Alalwan, A. A., Abu-Romman, S. M., Al-Weshah, G. A., Dwivedi, Y. K., & Albanna, H. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e16920 · Cited by 10
Economic Model for the Evaluation of 3D Food Printing
Dabbene, L., Ramundo, L., & Terzi, S. (2018) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2018.8436285 · Cited by 9
Consumer attitudes to food innovation and technology
Siegrist, M. (2007) · Elsevier eBooks · doi:10.1533/9781845693381.1.122 · Cited by 5
Food innovation dynamics and network support
Schiefer, G. W., & Deiters, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85203-6.00009-8 · Cited by 3
Diffusion and adoption of organic and biodynamic winemaking in the Western Cape
Douglas, M., & Donaldson, R. (2022) · South African Geographical Journal · doi:10.1080/03736245.2021.2006766 · Cited by 2
Flagged first, then by citations
Research works printed but not linked: 3
- 2014, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches
- 1983, Diffusion of Innovations
- 1995, Diffusion of Innovations
Cited by
Sorted by citations
Microalgae biotechnology and its role in sustainable and healthy food design
Schneider, A. T., Machado, R. L. S., Dutra, D. A., Machado, E. F., Dias, R. R., Deprá, M. C., Zepka, L. Q., & Jacob-Lopes, E. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1716473 · Cited by 15
Consumer acceptance of cultured meat: an in-depth qualitative assessment
Castellani, P., Cassia, F., Vargas-Sánchez, A., & Giaretta, E. (2026) · British Food Journal · doi:10.1108/bfj-05-2025-0697 · Cited by 4
Hwang, J., Liu, P., Shim, S., Siddique, A., & Kim, I. (2025) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-05-2025-0382 · Cited by 3
Fathy, E. A., Elgammal, I., Fayyad, S., & Fouad, A. M. (2026) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-03-2025-0354 · Cited by 1
Technological overview of 3D printers for food products
Verma, V. K., & Verma, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33916-5.00015-1
Bisht, A., Hussain, M., & Abdi, G. (2026) · Applied Food Research · doi:10.1016/j.afres.2026.101867
Malerich, M., Godley, A., & Khobzi, H. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6637599
Understanding University Students’ Willingness to Try Cultured Meat: Insights from Italy
Annunziata, A., Kraus, A., & Mariani, A. (2026) · Nutrients · doi:10.3390/nu18152418
Superfoods go mainstream: Yerba mate and the history of soft drugs and carbonated sodas
Sarreal, J. J. S. (2026) · Food and Foodways · doi:10.1080/07409710.2026.2694823
Bhebhe, M., Battisti, S., Pessot, E., & Brem, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7346490
Choudhary, A., & Dhewa, T. (2026) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2026.2721244
Diffusion of innovation in emerging food technologies: Adoption dynamics of cultured meat
Petrescu-Mag, R., Rastegari, H., & Petrescu, D. (2026) · Current Research in Food Science · doi:10.1016/j.crfs.2026.101567
Metadata
- Authors
- Guaqueta-Garcia, D. J., Wolodko, J., & Wismer, W.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Wismer, Wendy
- Venue
- British Food Journal
- Publisher
- Emerald
- Published
- 2024-11-28
- Volume
- 127
- Issue
- 1
- Pages
- 253-267
- ISSN
- 0007-070X (ISSN-L)
- 1758-4108
- OpenAlex
- W4404732319
- Cited by
- 12
- References
- 56
- Citations by year
- 2026: 10 · 2025: 2
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Food Journal (publishedVersion)
- Funders
- Alberta Innovates
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- 3D food printing, technology adoption, diffusion of innovations, food business, early adopters, technology compatibility, barriers to adoption, investment costs, consumer perception, sustainable food production
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