Unlocking Nanotechnology Adoption Intention in the Malaysian Food Industry


  • Siti Norida Wahab Department of Technology and Supply Chain Management Studies, Faculty of Business and Management, University Teknologi MARA, Puncak Alam Campus, Selangor, Malaysia,
  • Salini Devi Rajendran School of Food Studies and Gastronomy, Faculty of Social Sciences and Leisure Management, Taylor’s University, Lakeside Campus, 47500 Subang Jaya, Selangor, Malaysia
  • Swee Pin Yeap Department of Chemical & Petroleum Engineering, Faculty of Engineering, Technology & Built Environment, UCSI University, Kuala Lumpur 56000, Malaysia
  • Albert Tan Graduate School of Business, Asian Institute of Management, 123 Paseo de Roxas, Makati City, Philippines 1229




Nanotechnology, Food Industry, Food Supply Chain, Sustainability


The purpose of this study is to investigate the factors that motivate nanotechnology adoption in the food industry. The study collects 101 responses from food industry operators in Klang Valley, Malaysia, via a quantitative field survey. The data was analysed using Structural Equation Modelling (SEM). The findings show that effort expectation, price value, and trust have no statistical impact on nanotechnology adoption, whereas performance expectancy and top management support have positive effects. Given that this study is one of the few that investigates factors influencing nanotechnology adoption, it should give useful information for future studies on the food industry and nanotechnology adoption among researchers and practitioners.


Addy, M. N., Addo, E. T., Kwofie, T. E., & Yartey, J. E. (2022). Predicting the adoption of e-procurement in construction project delivery in Sub-Saharan Africa: an application of UTAUT2. Construction Innovation, ahead-of-print. DOI: https://doi.org/10.1108/CI-09-2021-0174

Aithal, P. S., & Aithal, S. (2022). Opportunities and Challenges for Green and Eco-Friendly Nanotechnology in Twenty-First Century. Sustainable Nanotechnology: Strategies, Products, and Applications, 31–50. DOI: https://doi.org/10.1002/9781119650294.ch3

Al-Rawashdeh, M., Keikhosrokiani, P., Belaton, B., Alawida, M., & Zwiri, A. (2022). IoT adoption and application for smart healthcare: a systematic review. Sensors, 22(14), 5377. DOI: https://doi.org/10.3390/s22145377

Al-Waeli, A. H. A., Kazem, H. A., Sopian, K., & Chaichan, M. T. (2018). Techno-economical assessment of grid connected PV/T using nanoparticles and water as base-fluid systems in Malaysia. International Journal of Sustainable Energy, 37(6), 558–575. DOI: https://doi.org/10.1080/14786451.2017.1323900

AlHogail, A. (2018). Improving IoT technology adoption through improving consumer trust. Technologies, 6(3), 64. DOI: https://doi.org/10.3390/technologies6030064

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. DOI: https://doi.org/10.1037/0033-2909.103.3.411

Bile Hassan, I., Murad, M. A. A., El-Shekeil, I., & Liu, J. (2022). Extending the UTAUT2 Model with a Privacy Calculus Model to Enhance the Adoption of a Health Information Application in Malaysia. Informatics, 9(2), 31. DOI: https://doi.org/10.3390/informatics9020031

Dardak, R. A. (2023). Contribution of Nanotechnology of Food Security in Malaysia. In Food and Fertilizer Technology Center. https://ap.fftc.org.tw/article/2639

Dervics, H. (2019). Bibliometric analysis using bibliometrix an R package. Journal of Scientometric Research, 8(3), 156–160. DOI: https://doi.org/10.5530/jscires.8.3.32

Dobrzański, L. A., Dobrzański, L. B., Dobrzańska-Danikiewicz, A. D., Dobrzańska, J., & Kraszewska, M. (2021). 8 Ethical imperatives towards the development prospects of the triad of Dentistry 4.0, dental engineering, and nanoengineering. In Ethics in Nanotechnology (pp. 157–248). De Gruyter. DOI: https://doi.org/10.1515/9783110719932-008

Dutta, S., & Shivani, S. (2020). Modified UTAUT2 to Determine Intention and Use of E-Commerce Technology Among Micro & Small Women Entrepreneurs in Jharkhand, India. Re-Imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation: IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2020, Tiruchirappalli, India, December 18--19, 2020, Proceedings, Part II, 688–701. DOI: https://doi.org/10.1007/978-3-030-64861-9_60

Eleftheriadou, M., Pyrgiotakis, G., & Demokritou, P. (2017). Nanotechnology to the rescue: using nano-enabled approaches in microbiological food safety and quality. Current Opinion in Biotechnology, 44, 87–93. DOI: https://doi.org/10.1016/j.copbio.2016.11.012

Faul, F., Erdfelder, E., Buchner, A., & Lang, A. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149 DOI: https://doi.org/10.3758/BRM.41.4.1149

Francisco, K., & Swanson, D. (2018). The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), 2. DOI: https://doi.org/10.3390/logistics2010002

Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. DOI: https://doi.org/10.1080/07421222.2001.11045669

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite based structural equation modeling methods. Journal of the Academy of Marketing Science, 45, 616–632. DOI: https://doi.org/10.1007/s11747-017-0517-x

HASMIN, N. O. R. A., MATMIN, J., & BASIR, S. A. (2022). NATIONAL NANOTECHNOLOGY POLICIES IN MALAYSIA, EUROPEAN UNION AND UNITED STATES: A COMPARATIVE ANALYSIS. Quantum Journal of Social Sciences and Humanities, 3(3), 72–92. DOI: https://doi.org/10.55197/qjssh.v3i3.148

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 DOI: https://doi.org/10.1007/s11747-014-0403-8

Kamarulzaman, N. A., Lee, K. E., Siow, K. S., & Mokhtar, M. (2019). Psychological and sociological perspectives for good governance of sustainable nanotechnology development in Malaysia. Journal of Nanoparticle Research, 21, 1–21. DOI: https://doi.org/10.1007/s11051-019-4583-5

Karim, M. E., Akhter, S., Munir, A. B., Muhammad-Sukki, F., Hoque, K. E., Yasin, S. H. M., Abu-Bakar, S. S., Abu-Bakar, S. H., Bani, N. A., Wirba, A. V., & others. (2017).

Malaysian tertiary level students and their understanding, knowledge and perception of nanotechnology. Journal of Advanced Research in Social and Behavioural Sciences, 6(1).

Khan, F., Pandey, P., & Upadhyay, T. K. (2022). Applications of Nanotechnology-Based Agrochemicals in Food Security and Sustainable Agriculture: An Overview. Agriculture, 12(10), 1672. DOI: https://doi.org/10.3390/agriculture12101672

Lowry, G. V, Avellan, A., & Gilbertson, L. M. (2019). Opportunities and challenges for nanotechnology in the agri-tech revolution. Nature Nanotechnology, 14(6), 517–522. DOI: https://doi.org/10.1038/s41565-019-0461-7

Meng, Y. U. E., LI, W., Shan, J. I. N., Jing, C., Chang, Q., Glyn, J., CAO, Y., YANG, G., LI, Z., & Frewer, L. J. (2023). Farmers’ precision pesticide technology adoption and its influencing factors: Evidence from apple production areas in China. Journal of Integrative Agriculture, 22(1), 292–305. DOI: https://doi.org/10.1016/j.jia.2022.11.002

Nguyen, T., & Petersen, T. E. (2017). Technology adoption in Norway: organizational assimilation of big data.

Nile, S. H., Baskar, V., Selvaraj, D., Nile, A., Xiao, J., & Kai, G. (2020). Nanotechnologies in food science: applications, recent trends, and future perspectives. Nano-Micro Letters, 12, 1–34. DOI: https://doi.org/10.1007/s40820-020-0383-9

Osei, H. V., Kwateng, K. O., & Boateng, K. A. (2022). Integration of personality trait, motivation and UTAUT 2 to understand e-learning adoption in the era of COVID-19 pandemic. Education and Information Technologies, 27(8), 10705–10730 DOI: https://doi.org/10.1007/s10639-022-11047-y

Ringle, C., Wende, S., & Becker, J. (2015). SmartPLS 3. In Retrieved from. https://doi.org/http://www.smartpls.com

Siddiqui, S. A., Zannou, O., Bahmid, N. A., Fidan, H., Alamou, A.-F., Nagdalian, А. А., Hassoun, A., Fernando, I., Ibrahim, S. A., & Arsyad, M. (2022). Consumer behavior toward nanopackaging-a new trend in the food industry. Future Foods, 100191. DOI: https://doi.org/10.1016/j.fufo.2022.100191

Venkatasubbu, G. D., Baskar, R., Anusuya, T., Seshan, C. A., & Chelliah, R. (2016). Toxicity mechanism of titanium dioxide and zinc oxide nanoparticles against food pathogens. Colloids and Surfaces B: Biointerfaces, 148, 600–606. DOI: https://doi.org/10.1016/j.colsurfb.2016.09.042

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540 DOI: https://doi.org/10.2307/30036540

Wahab, S. N., Hamzah, M. I., Khoo, Z. X., & Yau, W. S. (2022). An empirical study on warehouse automated materials handling equipment adoption in Malaysian warehousing sector. International Journal of Services and Operations Management, 42(4), 539–563. DOI: https://doi.org/10.1504/IJSOM.2022.124991

Wahab, S. N., Loo, Y. M., & Say, C. S. (2020). Antecedents of blockchain technology application among Malaysian warehouse industry. International Journal of Logistics Systems and Management, 37(3), 427–444. https://doi.org/10.1504/IJLSM.2020.111414 DOI: https://doi.org/10.1504/IJLSM.2020.111414

Yeap, S. P., Rajendran, S. D., & Wahab, S. N. (2022). The microbial-killing Ag nanoparticles in food supply chain: How it was applied and what a consumer should know? Food Frontiers, 1–8. DOI: https://doi.org/10.1002/fft2.182




How to Cite

Wahab, S. N., Rajendran, S. D., Yeap, S. P., & Tan, A. (2023). Unlocking Nanotechnology Adoption Intention in the Malaysian Food Industry. Environment-Behaviour Proceedings Journal, 8(26), 399–406. https://doi.org/10.21834/e-bpj.v8i26.4973