“Does blockchain technology matter?”: Understanding consumer purchase intention in a blockchain technology for olive oil context
Open accessAbstract
Чи має значення технологія блокчейн?":Розуміння намірів споживача щодо придбання оливкої олії з використання технології блокчейн Масмуді Х. М. 1 , Гаргурі Ф
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
In Tunisia, habit has been found to play a significant role in the adoption and use of the platform economy, as observed in studies related to e-commerce and mobile banking.
“In Tunisia, habit has been found to play a significant role in the adoption and use of the platform economy, as observed in studies related to e-commerce and mobile banking [29,30].”
In the Tunisian context, facilitating conditions play an important role in the adoption and use of platform economy services, such as e-commerce, mobile banking, and mobile payment services.
“In the Tunisian context, facilitating conditions play an important role in the adoption and use of platform economy services, such as e-commerce, mobile banking, and mobile payment services [28-30].”
In the Tunisian context, the ability of the platform economy to provide continuous innovation and address everyday challenges contributes to users' belief in their benefits.
“In the Tunisian context, the ability of the platform economy to provide continuous innovation and address everyday challenges contributes to users' belief in their benefits [29,30].”
Studies conducted in Tunisia have consistently found a positive relationship between behavioral intention and actual use of various platform economy services, including e-commerce, mobile banking, and mobile payment services.
“Studies conducted in Tunisia have consistently found a positive relationship between behavioral intention and actual use of various platform economy services, including e-commerce, mobile banking, and mobile payment services [28-30].”
In the Tunisian context, the UTAUT2 model plays a crucial role in examining the factors that influence the adoption of the platform economy.
“In the Tunisian context, the UTAUT2 model plays a crucial role in examining the factors that influence the adoption of the platform economy.”
A strong habit positively influences behavioral intention, actual usage, and performance expectancy.
“These studies have shown that a strong habit positively influences behavioral intention, actual usage, and performance expectancy.”
In the Tunisian context, hedonic motivation has been shown to play a role in the adoption of e-commerce platforms and e-banking applications.
“In the Tunisian context, hedonic motivation has been shown to play a role in the adoption of e-commerce platforms and e-banking applications [29,30].”
Research in the Tunisian context has shown that price value is crucial for users in adopting digital services such as mobile banking and e-commerce platforms.
“research in the Tunisian context has shown that price value is crucial for users in adopting digital services such as mobile banking and e-commerce platforms [29,30].”
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,888 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991) · Journal of Marketing Research · doi:10.1177/002224379102800305 · Cited by 5,853 · see citing works
(2007) · Cited by 3,005 · see citing works
Grazioli, S., & Järvenpää, S. L. (2000) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.852434 · Cited by 580 · see citing works
A hedonic motivation model in virtual reality tourism: Comparing visitors and non-visitors
Kim, M. J., & Hall, C. M. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.016 · Cited by 560 · see citing works
Force of Habit and Information Systems Usage: Theory and Initial Validation
Limayem, M., Hirt, S. G., & de Empresa, S. I. (2003) · Journal of the Association for Information Systems · doi:10.17705/1jais.00030 · Cited by 480 · see citing works
Understanding Regression Assumptions
Berry, W. (1993) · Sage eBooks · doi:10.4135/9781412986427 · Cited by 437 · see citing works
Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.008 · Cited by 374 · see citing works
Beyond Bitcoin: What blockchain and distributed ledger technologies mean for firms
Hughes, A., PARK, A. W., Kietzmann, J., & Archer‐Brown, C. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.01.002 · Cited by 366 · see citing works
Youn, S., & Jin, S. A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106721 · Cited by 344 · see citing works
Food choice motives and the nutritional quality of diet during the COVID-19 lockdown in France
Marty, L., de Lauzon‐Guillain, B., Labesse, M., & Nicklaus, S. (2020) · Appetite · doi:10.1016/j.appet.2020.105005 · Cited by 278 · see citing works
Blockchain and agricultural supply chains traceability: research trends and future challenges
Mirabelli, G., & Solina, V. (2020) · Procedia Manufacturing · doi:10.1016/j.promfg.2020.02.054 · Cited by 250 · see citing works
Macready, A. L., Hieke, S., Klimczuk‐Kochańska, M., Szumiał, S., Vranken, L., & Grunert, K. G. (2020) · Food Policy · doi:10.1016/j.foodpol.2020.101880 · Cited by 235 · see citing works
Blockchain and more - Algorithm driven food traceability
Creydt, M., & Fischer, M. J. (2019) · Food Control · doi:10.1016/j.foodcont.2019.05.019 · Cited by 225 · see citing works
Are Distributed Ledger Technologies the panacea for food traceability?
Pearson, S., May, D., Leontidis, G., Swainson, M., Brewer, S., Bidaut, L. M., Frey, J. G., Parr, G. P., Maull, R., & Zisman, A. (2019) · Global Food Security · doi:10.1016/j.gfs.2019.02.002 · Cited by 215 · see citing works
A Handbook of Statistical Analysis using SPSS
Landau, S., & Everitt, B. J. (2003) · Research Portal (King's College London) · Cited by 176 · see citing works
The influence of blockchain-based food traceability on retailer choice: The mediating role of trust
Garaus, M., & Treiblmaier, H. (2021) · Food Control · doi:10.1016/j.foodcont.2021.108082 · Cited by 171 · see citing works
Amount of information and the willingness of consumers to pay for food traceability in China
Jin, S., Zhang, Y., & Xu, Y. (2017) · Food Control · doi:10.1016/j.foodcont.2017.02.012 · Cited by 147 · see citing works
Banterle, A., & Stranieri, S. (2008) · Food Policy · doi:10.1016/j.foodpol.2008.06.002 · Cited by 140 · see citing works
Consumer valuation of blockchain traceability for beef in the U nited S tates
Shew, A. M., Snell, H. A., Nayga, R. M., & Lacity, M. C. (2021) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13157 · Cited by 82 · see citing works
Karampela, M., Lacka, E., & McLean, G. (2020) · European Journal of Marketing · doi:10.1108/ejm-03-2019-0231 · Cited by 77 · see citing works
Vita, G. A. D., Zanchini, R., Falcone, G., D’Amico, M., Brun, F., & Gulısano, G. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125795 · Cited by 57 · see citing works
A cross-cultural study on consumer preferences for olive oil
Chrysochou, P., Tiganis, A., Trigui, I. T., & Grunert, K. G. (2021) · Food Quality and Preference · doi:10.1016/j.foodqual.2021.104460 · Cited by 57 · see citing works
A framework for food traceability: case study – Italian extra-virgin olive oil supply chain
Guido, R., Mirabelli, G., Palermo, E., & Solina, V. (2020) · International Journal of Industrial Engineering and Management · doi:10.24867/ijiem-2020-1-252 · Cited by 51 · see citing works
Consumer Trust in Food Safety Requires Information Transparency
Lam, T. K., Heales, J., Hartley, N., & Hodkinson, C. (2020) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v24i0.2219 · Cited by 45 · see citing works
Weesepoel, Y., Alewijn, M., Wijtten, M., & Müller-Maatsch, J. (2020) · Journal of AOAC International · doi:10.1093/jaoacint/qsaa099 · Cited by 37 · see citing works
Risk analysis approach applied to consumers’ behaviour toward fraud in food products
Théolier, J., Barrère, V., Charlebois, S., & Godefroy, S. B. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.11.017 · Cited by 36 · see citing works
Peršurić, A. S. I., & Damijanić, A. T. (2021) · Sustainability · doi:10.3390/su13147630 · Cited by 23 · see citing works
Dehghani, F., Morvaridzadeh, M., Pizarro, A. B., Rouzitalab, T., Khorshidi, M., Izadi, A., Shidfar, F., Omidi, A., & Heshmati, J. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.02.017 · Cited by 22 · see citing works
Donat‐Vargas, C., Dominguez, L. J., Sandoval‐Insausti, H., Moreno‐Franco, B., Rey-García, J., Banegas, J. R., Rodríguez‐Artalejo, F., & Guallar‐Castillón, P. (2021) · Age and Ageing · doi:10.1093/ageing/afab198 · Cited by 13 · see citing works
MODELING AGRICULTURAL TRADE LIBERALIZATION AND ITS IMPLICATIONS FOR THE EUROPEAN UNIONPreprint
Anania, G., & Anania, G. (2001) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.14797 · Cited by 10 · see citing works
Flagged first, then by citations
1 of the 33 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Chiaraluce, G., Bentivoglio, D., Finco, A., Fiore, M., Contò, F., & Galati, A. (2024) · Agricultural and Food Economics · doi:10.1186/s40100-024-00301-1 · Cited by 84 · see citing works
Dahmani, M., & Ben Youssef, A. (2023) · Platforms · doi:10.3390/platforms1010005 · Cited by 15 · see citing works
“In the Tunisian context, the ability of the platform economy to provide continuous innovation and address everyday challenges contributes to users’ belief in their benefits [29,30].”
BackgroundResultInfluentialStaffolani, G., Chiaraluce, G., Bentivoglio, D., Vodo, B., Miglietta, P. P., & Finco, A. (2025) · AIMS Agriculture and Food · doi:10.3934/agrfood.2025030 · Cited by 5 · see citing works
Blockchain technology: secure solution for extra virgin olive oil traceability in Jordan
Baddar, Y., Tahboub, K., & Abideen, A. Z. (2026) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2026.2724426
- Authors
- Masmoudi, H. M., & Gargouri, F.
- Affiliations
- University of Sfax (TN)
- Venue
- International Journal of Education and Science
- Published
- 2021
- Volume
- 4
- Issue
- 3-4
- ISSN
- 2618-0553 (ISSN-L)
- OpenAlex
- W4210632334
- Cited by
- 4
- References
- 33
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Education and Science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- blockchain, consumer purchase intention, olive oil, consumer behavior, food traceability
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