Home⇛International Journal of Multidisciplinary: Applied Business and Education Research⇛vol. 4 no. 7 (2023)

Examining the Acceptance of Automated Piggery Cleaner System Using UTAUT Model for Hog Business in the Philippines

Fritz Bacalso | Irvin Paul Rendon | Rose Ann Campita | Froilan D. Mobo | Anesito L. Cutillas

 

Abstract:

This study examines the acceptance of automated piggery cleaner systems in the hog business in the Philippines using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. It investigates piggery owners’ perceptions and attitudes toward adopting this technology and its potential impact on cleaning practices, hygiene standards, and productivity. A survey questionnaire was administered to 50 piggery owners in Cebu, Philippines, employing a mixed-methods approach. The analysis reveals that piggery owners generally hold positive perceptions and attitudes towards automated piggery cleaner systems, recognizing their potential benefits in enhancing productivity, efficiency, and career advantages. Factors influencing acceptance, such as performance expectancy, effort expectancy, facilitating conditions, and social influence, were explored. Although the correlation analysis does not show significant relationships between UTAUT constructs and behavioral intention, it emphasizes considering other factors like subjective norms and perceived behavioral control. The findings have important implications for the hog business in the Philippines. Embracing automated piggery cleaner systems can improve cleaning practices, enhance hygiene standards, prevent disease outbreaks, and increase productivity. Collaborative efforts among piggery owners, industry associations, and technology providers are recommended to address concerns and barriers, including providing training and support, ensuring compatibility, and emphasizing voluntary adoption. This study offers valuable insights for pig farmers, industry stakeholders, and policymakers, enabling the adoption of innovative technologies and achieving sustainable and efficient pig farming practices in the Philippines.



References:

  1. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflec-tions. Psychology & health, 26(9), 1113-1127. https://doi.org/10.1080/08870446.2011.613995
  2. Al-Hamad, M., Mbaidin, H., AlHamad, A., Alshurideh, M., Kurdi, B., & Al-Hamad, N. (2021). Investigating students’ behav-ioral intention to use mobile learning in higher education in UAE during Corona-virus-19 pandemic. International Jour-nal of Data and Network Science, 5(3), 321-330. DOI: 10.5267/j.ijdns.2021.6.001
  3. Alam, M. Z., Alam, M. M. D., Uddin, M. A., & Mohd Noor, N. A. (2022). Do mobile health (mHealth) services ensure the quality of health life? An integrated ap-proach from a developing country con-text. Journal of Marketing Communica-tions, 28(2), 152-182. https://doi.org/10.1080/13527266.2020.1848900
  4. Altalhi, M. (2021). Toward a model for ac-ceptance of MOOCs in higher education: The modified UTAUT model for Saudi Arabia. Education and Information Technologies, 26, 1589-1605.
  5. Banson, K. E., Nguyen, N. C., Sun, D., Asare, D. K., Sowah Kodia, S., Afful, I., & Leigh, J. (2018). Strategic Management for Sys-tems Archetypes in the piggery industry of Ghana—a systems thinking perspec-tive. Systems, 6(4), 35. https://doi.org/10.3390/systems6040035
  6. Beh, P. K., Ganesan, Y., Iranmanesh, M., & Foroughi, B. (2021). Using smartwatches for fitness and health monitoring: the UTAUT2 combined with threat appraisal as moderators. Behaviour & Information Technology, 40(3), 282-299. https://doi.org/10.1080/0144929X.2019.1685597
  7. Bellini, S., Rutili, D., & Guberti, V. (2016). Pre-ventive measures aimed at minimizing the risk of African swine fever virus spread in pig farming systems. Acta Vet-erinaria Scandinavica, 58(1), 82.
  8. Chen, M. F. (2016). Extending the theory of planned behavior model to explain peo-ple’s energy savings and carbon reduc-tion behavioral intentions to mitigate climate change in Taiwan–moral obliga-tion matters. Journal of Cleaner Produc-tion, 112, 1746-1753.
  9. Croft, S., Massei, G., Smith, G. C., Fouracre, D., & Aegerter, J. N. (2020). Modelling spatial and temporal patterns of African swine fever in an isolated wild boar population to support decision-making. Frontiers in veterinary science, 7, 154. https://doi.org/10.3389/fvets.2020.00154
  10. Cutillas, A. L., Alburo, R. P., Alburo, H. M., & Pascual, P. R. L. (2022). Resiliency Among Various Businesses in the Philip-pines in the Context of Post-Disaster Re-covery Framework. International Jour-nal of Multidisciplinary: Applied Business and Education Research, 3(9), 1683-1692.
  11. Cutillas, A. L., Ocay, J. V., Alburo, H. M., & Mon-tero-Ambray, R. (2022). The philosophy of work of the Lumads1 in Surigao del Sur, Philippines, as an alternative to modern technology and globaliza-tion. Journal of Agriculture and Technol-ogy Management (JATM), 25(1), 88-95.
  12. Dorca-Preda, T., Kongsted, A. G., Andersen, H. M. L., Kristensen, T., Theil, P. K., Knud-sen, M. T., & Mogensen, L. (2023). Refin-ing life cycle nutrient modeling in organ-ic pig production. An analysis focusing on feeding strategies in organic Danish pig farming. Livestock Science, 272, 105248. https://doi.org/10.1016/j.livsci.2023.105248
  13. Douglas, P., Robertson, S., Gay, R., Hansell, A. L., & Gant, T. W. (2018). A systematic re-view of the public health risks of bioaer-osols from intensive farm-ing. International journal of hygiene and environmental health, 221(2), 134-173.
  14. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of ac-ceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Fron-tiers, 21, 719-734.
  15. Else, K. J., Keiser, J., Holland, C. V., Grencis, R. K., Sattelle, D. B., Fujiwara, R. T., ... & Cooper, P. J. (2020). Whipworm and roundworm infections. Nature Reviews Disease Primers, 6(1), 44.
  16. Franceschinis, C., Thiene, M., Scarpa, R., Rose, J., Moretto, M., & Cavalli, R. (2017). Adoption of renewable heating systems: An empirical test of the diffusion of in-novation theory. Energy, 125, 313-326. https://doi.org/10.1016/j.energy.2017.02.060
  17. Giua, C., Materia, V. C., & Camanzi, L. (2022). Smart farming technologies adoption: Which factors play a role in the digital transition?. Technology in Society, 68, 101869.
  18. Hallett, S., Hoagland, L., & Toner, E. (2016). Urban agriculture: Environmental, eco-nomic, and social perspec-tives. Horticultural Reviews Volume 44, 44, 65-120.
  19. Halliday, J., Kaufmann, R. V., & Herath, K. V. (2021). An assessment of controlled en-vironment agriculture (CEA) in low-and lower-middle income countries in Asia and Africa, and its potential contribution to sustainable development.
  20. He, J., Evans, N. M., Liu, H., & Shao, S. (2020). A review of research on plant‐based meat alternatives: Driving forces, history, manufacturing, and consumer atti-tudes. Comprehensive Reviews in Food Science and Food Safety, 19(5), 2639-2656.
  21. Hermosisima, M. C. R., Mobo, F. D., & Cutillas, A. L. (2023). Enhanced Learning Conti-nuity Framework Using Online Teaching as Alternative Delivery Modali-ty. International Journal of Multidiscipli-nary: Applied Business and Education Research, 4(5), 1521-1534.
  22. Herrera, M. M., & Trujillo-Díaz, J. (2022). To-wards a strategic innovation framework to support supply chain perfor-mance. International Journal of Produc-tivity and Performance Manage-ment, 71(5), 1872-1894.
  23. Javier III, J. E. R., Manipol, N. E. P., Cruz, M. B., & Velasco, D. N. F. (2019). Adoption of Good Animal Husbandry Practices (GAHP) and Certification Among Com-mercial Swine Farms in Ibaan and Lipa City, Batangas, Philippines: Status, Issues and Prospects. 한국무역학회 국제학술대회, 967-995.
  24. Langer, M., König, C. J., & Busch, V. (2021). Changing the means of managerial work: effects of automated decision support systems on personnel selection tasks. Journal of business and psycholo-gy, 36, 751-769. https://doi.org/10.1007/s10869-020-09711-6
  25. Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile payment with alipay: An applica-tion of extended technology acceptance model. IEEE Access, 7, 50380-50387.
  26. Lutuli, N. (2019). Mobile applications as a tool for participatory extension: a case study of the Lima Farmer Support application: A thesis submitted in partial fulfilment of the requirements for the degree of Mas-ter of Commerce (Agricultural) at Lin-coln University (Doctoral dissertation, Lincoln University).
  27. Mannion, C., Leonard, F. C., Lynch, P. B., & Egan, J. (2007). Efficacy of cleaning and disinfection on pig farms in Ire-land. Veterinary Record, 161(11), 371-375.
  28. Marikyan, M., & Papagiannidis, P. (2021). Uni-fied theory of acceptance and use of technology. TheoryHub book.
  29. Mariscal, L. L., Albarracin, M. R., Mobo, F. D., & Cutillas, A. L. (2023). Pedagogical Com-petence Towards Technology-driven In-struction on Basic Educa-tion. International Journal of Multidisci-plinary: Applied Business and Education Research, 4(5), 1567-1580.
  30. Matharu, M., Jain, R., & Kamboj, S. (2020). Un-derstanding the impact of lifestyle on sustainable consumption behavior: a sharing economy perspec-tive. Management of environmental quality: An international Journal, 32(1), 20-40.
  31. Qashou, A. (2021). Influencing factors in M-learning adoption in higher educa-tion. Education and information tech-nologies, 26(2), 1755-1785.
  32. Rahman, M. S., Ko, M., Warren, J., & Carpenter, D. (2016). Healthcare Technology Self-Efficacy (HTSE) and its influence on in-dividual attitude: An empirical study. Computers in Human Behavior, 58, 12-24. https://doi.org/10.1016/j.chb.2015.12.016
  33. Sarfaraz, J. (2017). Unified theory of ac-ceptance and use of technology (UTAUT) model-mobile banking. Journal of Inter-net Banking and Commerce, 22(3), 1-20.
  34. Sato, P., Hötzel, M. J., & Von Keyserlingk, M. A. (2017). American citizens’ views of an ideal pig farm. Animals, 7(8), 64. https://doi.org/10.3390/ani7080064
  35. Shafi, A. S., & Weerakkody, V. (2009, January). Understanding citizens’ behavioural in-tention in the adoption of e-government services in the state of Qatar. In ECIS (Vol. 1, pp. 1618-1629).
  36. Sørensen, C. G., Madsen, N. A., & Jacobsen, B. H. (2005). Organic farming scenarios: op-erational analysis and costs of imple-menting innovative technolo-gies. Biosystems engineering, 91(2), 127-137. https://doi.org/10.1016/j.biosystemseng.2005.03.006
  37. Štukelj, M., Prodanov-Radulović, J., & Bellini, S. (2021). Cleaning and disinfection in the domestic pig sector. In Understanding and combatting African Swine Fever: A European perspective (pp. 133-152). Wageningen Academic Publishers.
  38. Sun, R., Zhang, S., Wang, T., Hu, J., Ruan, J., & Ruan, J. (2021). Willingness and influ-encing factors of pig farmers to adopt In-ternet of Things technology in food traceability. Sustainability, 13(16), 8861. https://doi.org/10.3390/su13168861
  39. Sun, R., Zhang, S., Wu, N., Hu, J., Ruan, J., & Ru-an, J. (2021). Factors Influencing Farm-ers’ Intention to Adopt the Internet of Things in Agriculture: An Empirical Analysis of China. International Journal of Environmental Research and Public Health, 18(3), 927. doi: 10.3390/ijerph18030927
  40. Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual tech-nology adoption decision-making pro-cesses. Organizational behavior and human decision processes, 83(1), 33-60.
  41. Venkatesh, V., Morris, M. G., Davis, G. B., & Da-vis, F. D. (2003). User acceptance of in-formation technology: Toward a unified view. MIS quarterly, 425-478.
  42. Waller, M. A., Van Hoek, R., Davletshin, M., & Fugate, B. (2019). Integrating block-chain into supply chain management: a toolkit for practical implementation. Kogan Page Publishers.
  43. Zhao, C., Cooke, F. L., & Wang, Z. (2021). Hu-man resource management in China: what are the key issues confronting or-ganizations and how can research help?. Asia Pacific Journal of Human Re-sources, 59(3), 357-373. https://doi.org/10.1111/1744-7941.12295.
  44. Ziebland, S. U. E., & Wyke, S. (2012). Health and illness in a connected world: how might sharing experiences on the inter-net affect people’s health?. The Milbank Quarterly, 90(2), 219-249.

Tools


Copyright © 2024  KITE Digital Educational Solutions |  Exclusively distributed by CE-Logic