Journal of Intelligent Systems and Internet of Things

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https://doi.org/10.54216/JISIoT

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Volume 13 , Issue 1 , PP: 21-30, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector

Zahari Md Rodzi 1 * , Nur A. Mat Rosly 2 , Nurul A. Mohd Zaik 3 , Muhammad Hakimi Rusli 4 , Ghafur Ahmad 5 , Faisal Al-Sharqi 6 , Ashraf Al-Quran 7 , Ali M. A. Bany Awad 8

  • 1 Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia; Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ehsan, Malaysia - (zahari@uitm.edu.my)
  • 2 Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia. - (2022931243@student.uitm.edu.my)
  • 3 Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia. - (2022923757@student.uitm.edu.my)
  • 4 Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia - (2022971665@student.uitm.edu.my)
  • 5 Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ehsan, Malaysia - (faisal.ghazi@uoanbar.edu.iq)
  • 6 College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq - (faisal.ghazi@uoanbar.edu.iq)
  • 7 Department of mathematics and statistics, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia; Deanship of Development and Quality Assurance, King Faisal University, Al-Ahsa 31982, Saudi Arabia - (aalquran@kfu.edu.sa)
  • 8 Deanship of Development and Quality Assurance, King Faisal University, Al-Ahsa 31982, Saudi Arabia - (abanyawad@kfu.edu.sa)
  • Doi: https://doi.org/10.54216/JISIoT.130102

    Received: August 17, 2023 Revised: November 18, 2023 Accepted: May 09, 2024
    Abstract

    This study investigates the challenges to the digitalization technology adoption in Malaysia agriculture sector by using the DEMATEL (Decision-Making Trial and Evaluation Laboratory) approach, which will give a complete knowledge of the interdependencies among the barriers. The research objectives are to determine the cause and effect of digital agriculture using DEMATEL and to recommend the best way to overcome the obstacles in using digital technology.  The findings from this study reveals the cause and effect from the barriers which is lack of skills, lack of technology, high cost, infrastructure and connectivity, and resistance to change are in the cause group while limited locality, data privacy and security concerns, low level of education, market access and regulatory and policy are in the effect group.  The research findings are utilized to give policymakers and stakeholders with practical recommendations aimed at addressing the identified barriers and promoting the adoption of digital technologies in Malaysian agriculture.  Thus, this study offers recommendations for the most important obstacles found, which are an improvement in infrastructure and the implementation of financial assistance mechanisms.  All things considered, this research makes a significant contribution to the subject of agriculture and sheds light on the difficulties associated with implementing new technologies in Malaysia's agriculture industry.

    Keywords :

    DEMATEL analysis , Artificial Intelligence , Higher Education , Student Welfare , Data Protection.

    References

    [1] T. Groher, K. Heitkämper, & C. Umstätter, "Digital technology adoption in livestock production with a special focus on ruminant farming", Animal, vol. 14, no. 11, p. 2404-2413, 2020. https://doi.org/10.1017/s1751731120001391

    [2] S. Rotz, E. Duncan, M. Small, J. Botschner, R. Dara, I. Mosbyet al., "The politics of digital agricultural technologies: a preliminary review", Sociologia Ruralis, vol. 59, no. 2, p. 203-229, 2019. https://doi.org/10.1111/soru.12233

    [3] J. Drewry, J. Shutske, D. Trechter, & B. Luck, "Assessment of digital technology adoption and access barriers among agricultural service providers and agricultural extension professionals", Journal of the Asabe, vol. 65, no. 5, p. 1049-1059, 2022. https://doi.org/10.13031/ja.15018

    [4] A. Ciruela-Lorenzo, A. Del-Águila-Obra, A. Meléndez, & J. Plaza-Angulo, "Digitalization of agri-cooperatives in the smart agriculture context. proposal of a digital diagnosis tool", Sustainability, vol. 12, no. 4, p. 1325, 2020. https://doi.org/10.3390/su12041325

    [5] M. Annosi, F. Brunetta, F. Capo, & L. Heideveld, "Digitalization in the agri-food industry: the relationship between technology and sustainable development", Management Decision, vol. 58, no. 8, p. 1737-1757, 2020. https://doi.org/10.1108/md-09-2019-1328

    [6] K. Kalesamy, "A conceptual study: technology adoption among malaysian manufacturing smes for corporate sustainability in the  context of ir 4.0", The International Journal of Business & Management, vol. 9, no. 9, 2021. https://doi.org/10.24940/theijbm/2021/v9/i9/bm2109-013

    [7] M. Hanafiah and M. Soomro, "The situation of technology companies in industry 4.0 and the open innovation", Journal of Open Innovation Technology Market and Complexity, vol. 7, no. 1, p. 34, 2021. https://doi.org/10.3390/joitmc7010034

    [8] M. Mokhtar and N. Noordin, "An exploratory study of industry 4.0 in malaysia: a case study of higher education institution in malaysia", Indonesian Journal of Electrical Engineering and Computer Science, vol. 16, no. 2, p. 978, 2019. https://doi.org/10.11591/ijeecs.v16.i2.pp978-987

    [9] N. Khan, R. Ray, H. Kassem, S. Hussain, S. Zhang, M. Khayyamet al., "Potential role of technology innovation in transformation of sustainable food systems: a review", Agriculture, vol. 11, no. 10, p. 984, 2021. https://doi.org/10.3390/agriculture11100984

    [10] S. Hackfort, "Patterns of inequalities in digital agriculture: a systematic literature review", Sustainability, vol. 13, no. 22, p. 12345, 2021. https://doi.org/10.3390/su132212345

    [11] M. Khanna, "Digital transformation of the agricultural sector: pathways, drivers and policy implications", Applied Economic Perspectives and Policy, vol. 43, no. 4, p. 1221-1242, 2020. https://doi.org/10.1002/aepp.13103

    [12] H. Fauzi, H. Sharif, & R. Razak, "Virtualization of digitalized cultural assets to promote sustainable heritage tourism in malaysia", International Journal of Environment Architecture and Societies, vol. 2, no. 2, p. 85-99, 2022. https://doi.org/10.26418/ijeas.2022.2.2.85-99

    [13] E. Alreshidi, "Smart sustainable agriculture (ssa) solution underpinned by internet of things (iot) and artificial intelligence (ai)", International Journal of Advanced Computer Science and Applications, vol. 10, no. 5, 2019. https://doi.org/10.14569/ijacsa.2019.0100513

    [14] N. Eli-Chukwu, "Applications of artificial intelligence in agriculture: a review", Engineering Technology & Applied Science Research, vol. 9, no. 4, p. 4377-4383, 2019. https://doi.org/10.48084/etasr.2756

    [15] Y. Ampatzidis, L. Bellis, & A. Luvisi, "Ipathology: robotic applications and management of plants and plant diseases", Sustainability, vol. 9, no. 6, p. 1010, 2017. https://doi.org/10.3390/su9061010

    [16] C. Sanders, K. Mayfield-Smith, & A. Lamm, "Exploring twitter discourse around the use of artificial intelligence to advance agricultural sustainability", Sustainability, vol. 13, no. 21, p. 12033, 2021. https://doi.org/10.3390/su132112033

    [17] M. Themistocleous and Z. Irani, "Benchmarking the  benefits and barriers of application integration", Benchmarking an International Journal, vol. 8, no. 4, p. 317-331, 2001. https://doi.org/10.1108/14635770110403828

    [18] K. Mugabe, "Barriers and facilitators to the adoption of artificial intelligence in radiation oncology: a new zealand study", Technical Innovations & Patient Support in Radiation Oncology, vol. 18, p. 16-21, 2021. https://doi.org/10.1016/j.tipsro.2021.03.004

    [19] A. Chaibi and I. Zaiem, "Doctor resistance of artificial intelligence in healthcare", International Journal of Healthcare Information Systems and Informatics, vol. 17, no. 1, p. 1-13, 2022. https://doi.org/10.4018/ijhisi.315618

    [20] R. Dara, S. Fard, & J. Kaur, "Recommendations for ethical and responsible use of artificial intelligence in digital agriculture", Frontiers in Artificial Intelligence, vol. 5, 2022. https://doi.org/10.3389/frai.2022.884192

    [21] S. Figiel, "Development of artificial intelligence and potential impact of its applications in agriculture on labor use and productivity", Problems of Agricultural Economics, vol. 373, no. 4, p. 5-21, 2022. https://doi.org/10.30858/zer/153583

    [22] S. Mangla, S. Luthra, N. Rich, D. Kumar, N. Rana, & Y. Dwivedi, "Enablers to implement sustainable initiatives in agri-food supply chains", International Journal of Production Economics, vol. 203, p. 379-393, 2018. https://doi.org/10.1016/j.ijpe.2018.07.012

    [23] A. Bajpai and S. Misra, "Barriers to implementing digitalization in the indian construction industry", International Journal of Quality & Reliability Management, vol. 39, no. 10, p. 2438-2464, 2021. https://doi.org/10.1108/ijqrm-09-2020-0318

    [24] S. Zaman, S. Khan, S. Qabool, & H. Gupta, "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach", Operations Management Research, vol. 16, no. 2, p. 904-930, 2022. https://doi.org/10.1007/s12063-022-00341-0

    [25] N. Gupta, P. Vrat, & R. Ojha, "Prioritizing enablers for service quality in healthcare sector – a dematel approach", Journal of Health Organization and Management, vol. 36, no. 5, p. 633-649, 2022. https://doi.org/10.1108/jhom-06-2021-0222

    [26] D. Sundar, K. Mathiyazhagan, V. Agarwal, M. Janardhanan, & A. Appolloni, "From linear to a circular economy in the e‐waste management sector: experience from the transition barriers in the united kingdom", Business Strategy and the Environment, vol. 32, no. 7, p. 4282-4298, 2023. https://doi.org/10.1002/bse.3365

    [27]  Z. M. Rodzi et al., “Uncovering Obstacles to HouseholdWaste Recycling in Seremban, Malaysia through Decision-Making Trial and Evaluation Laboratory (DEMATEL) Analysis,” Sci. Technol. Indones., vol. 8, no. 3, pp. 422–428, 2023, doi: https://doi.org/10.26554/sti.2023.8.3.422-428 1.

    [28] A. Al-Quran, F. Al-Sharqi, A. U. Rahman and Z. M. Rodzi, The q-rung orthopair fuzzy-valued neutrosophic sets: Axiomatic properties, aggregation operators and applications. AIMS Mathematics, 9(2), 5038-5070, 2024.

    [29] F. Al-Sharqi, A. Al-Quran and Z. M. Rodzi, Multi-Attribute Group Decision-Making Based on Aggregation Operator and Score Function of Bipolar Neutrosophic Hypersoft Environment, Neutrosophic Sets and Systems, 61(1), 465-492, 2023.

    [30] Rodzi, Z., & Ahmad, A. G. (2020). Application of parameterized hesitant fuzzy soft set theory in decision making. Math. Stat., 8(3), 244-253.

    [31] Rodzi, Z., Ahmad, A. G., Ismail, N. S., Mohamad, W. N., & Mohmad, S. (2021). Z-Score Functions of Dual Hesitant Fuzzy Set and Its Applications in Multi-Criteria Decision Making. Mathematics and Statistics, 9(3), 225-232.

    [32] Ashraf Al-Quran, Faisal Al-Sharqi, Zahari Md. Rodzi, Mona Aladil, Rawan A. shlaka, Mamika Ujianita Romdhini, Mohammad K. Tahat, Obadah Said Solaiman. (2023). The Algebraic Structures of Q-Complex Neutrosophic Soft Sets Associated with Groups and Subgroups. International Journal of Neutrosophic Science, 22 (1), 60-76.

    [33] Jamiatun Nadwa Ismail et al. The Integrated Novel Framework: Linguistic Variables in Pythagorean Neutrosophic Set with DEMATEL for Enhanced Decision Support. Int. J. Neutrosophic Sci., vol. 21, no. 2, pp. 129-141, 2023.

    [34] Ameen, A. H., Mohammed, M. A., & Rashid, A. N, Enhancing Security in IoMT: A Blockchain-Based Cybersecurity Framework for Machine Learning-Driven ECG Signal Classification, Fusion: Practice and Applications, 14(1), 221 - 251, 2024

    [35] Z. M. Rodzi et al.,  "Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education, Journal of Intelligent Systems and Internet of Things, 11(2), 30-41, 2024

    [36] M. U. Romdhini, F. Al-Sharqi, A. Nawawi, A. Al-Quran and H. Rashmanlou, Signless Laplacian Energy of Interval-Valued Fuzzy Graph and its Applications, Sains Malaysiana 52(7), 2127-2137, 2023

    [37] F. Al-Sharqi, A. Al-Quran, M. U. Romdhini, Decision-making techniques based on similarity measures of possibility interval fuzzy soft environment, Iraqi Journal for Computer Science and Mathematics, vol. 4, pp.18–29, 2023.

    Cite This Article As :
    Md, Zahari. , A., Nur. , A., Nurul. , Hakimi, Muhammad. , Ahmad, Ghafur. , Al-Sharqi, Faisal. , Al-Quran, Ashraf. , M., Ali. A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things, vol. , no. , 2024, pp. 21-30. DOI: https://doi.org/10.54216/JISIoT.130102
    Md, Z. A., N. A., N. Hakimi, M. Ahmad, G. Al-Sharqi, F. Al-Quran, A. M., A. (2024). A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things, (), 21-30. DOI: https://doi.org/10.54216/JISIoT.130102
    Md, Zahari. A., Nur. A., Nurul. Hakimi, Muhammad. Ahmad, Ghafur. Al-Sharqi, Faisal. Al-Quran, Ashraf. M., Ali. A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things , no. (2024): 21-30. DOI: https://doi.org/10.54216/JISIoT.130102
    Md, Z. , A., N. , A., N. , Hakimi, M. , Ahmad, G. , Al-Sharqi, F. , Al-Quran, A. , M., A. (2024) . A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things , () , 21-30 . DOI: https://doi.org/10.54216/JISIoT.130102
    Md Z. , A. N. , A. N. , Hakimi M. , Ahmad G. , Al-Sharqi F. , Al-Quran A. , M. A. [2024]. A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things. (): 21-30. DOI: https://doi.org/10.54216/JISIoT.130102
    Md, Z. A., N. A., N. Hakimi, M. Ahmad, G. Al-Sharqi, F. Al-Quran, A. M., A. "A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. 21-30, 2024. DOI: https://doi.org/10.54216/JISIoT.130102