CHAPTER


DOI :10.26650/B/SS10.2023.001.11   IUP :10.26650/B/SS10.2023.001.11    Full Text (PDF)

A Systematic Review of the Role of Perceived Risk and Trust in IoT Adoption in Agriculture

Ayça AlpBehiye Selin Gökkut

Over a decade, despite being a new concept and not having a distinct definition, the Internet of Things gained interest from the business world and researchers. To explain IoT adoption and its elements, this research employed citations of IoT Adoption in Agriculture: The Role of Trust, Perceived Value, and Risk originating paper. Based on Internet of Things Adoption, articles found From the Web of Science and Scopus databases were classified by using thematic analysis methods. After thematic analyses, The VOSviewer program is used in this paper to group related terms for cluster analysis. IoT, or the internet of things, agriculture, adoption, and trust are the five essential terms. Among these five keywords, the three most used were investigated: IoT (internet of things), agriculture, and adoption. In literature, the adoption of IoT technologies in agriculture is a relatively new term to study. An examination of the existing literature revealed the connection between the keywords. There is a pretty new study relationship between agriculture and IoT technologies. The aim was to highlight numerous constraints of present technology adoption research and to create a multi-level framework for future researchers.



References

  • Alreshidi, E. (2019). Smart, sustainable agriculture (SSA) solution underpinned by the Internet of things (IoT) and artificial intelligence (AI). International Journal of Advanced Computer Science and Applications, 10(5), 93-102. doi:10.14569/ijacsa.2019.0100513 google scholar
  • Arfi, B. Wissal, N., Imed, Khvatova, T., Zaied B., Y. (2020). Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost. Technological Forecasting and Social Change. 163. 10.1016/j.techfore.2020.120437. google scholar
  • Ashton, K. (2009). That “internet of things” Thing. RFID Journal. Retrieved fromhttp://www.rfidjournal.com/ articles/view?4986. google scholar
  • Awan, K. A., Din, I. U., Almogren, A., Almajed, H. (2020). Agritrust—a trust management approach for smart agriculture in cloud-based Internet of agriculture things. Sensors (Switzerland), 20(21), 1-21. doi:10.3390/ s20216174 google scholar
  • Baba, N. M., Baharudin, A. S. (2020). Determinants of users’ intention to use it: A conceptual framework. doi:10.1007/978-3-030-33582-3_92 Retrieved from www.scopus.com google scholar
  • Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K. (2017). IoT in agriculture: Designing a Europe-wide large-scale pilot.IEEE Communications Magazine, 55(9), 26e33. google scholar
  • Chatterjee, S. (2020). Factors impacting behavioral intention of users to adopt IoT in India: From security and privacy perspective. International Journal of Information Security and Privacy, 14(4), 92-112. doi:10.4018/ IJISP.2020100106 google scholar
  • Delgosha, M. S., Hajiheydari, N., & Talafidaryani, M. (2021). Discovering IoT implications in business and management: A computational thematic analysis. Technovation, DOI: 10.1016/j.technovation.2021.102236 google scholar
  • Everitt, B. S. (1990). Cluster analysis. In Husen, T. andPostleth Waite, N. (eds.) International Encyclopedia of Education, 2nd and., pp 825-831. Oxford: Pergamon. google scholar
  • Ferrandez-Pastor, F. J., Garci a-Chamizo, J. M., Nieto-Hidalgo, M., &Mora-Marti nez, J. (2018). Precision agriculture design method using a distributed computing architecture on Internet ofThings context. Sensors, 18(1731), 121 google scholar
  • Gnizy, I. (2020). Applying big data to guide firms’ future industrial marketing strategies. Journal of Business and Industrial Marketing, 35(7), 1221-1235. doi:10.1108/JBIM-06-2019-0318 google scholar
  • Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. google scholar
  • Henriques, D., Almeida, R., Pereira, R., da Silva, M. M., & Bianchi, I. S. (2020). How IT Governance can assist IoT project implementation. International Journal of Information Systems and Project Management, 8(3), 25-45. doi:10.12821/ijispm080302 google scholar
  • Henriques, D., Pereira, R. F., Almeida, R., & Mira da Silva, M. (2020). IT governance enablers about IoT implementation: A systematic literature review. Digital Policy, Regulation, and Governance, 22(1), 32-49. doi:10.1108/DPRG-02-2019-0013 google scholar
  • Jayashankar, P., Johnston, W. J., Nilakanta, S., & Burres, R. (2020). Co-creation of value-in-use through big data technology- a B2B agricultural perspective. Journal of Business and Industrial Marketing, 35(3), 508-523. doi:10.1108/JBIM-12-2018-0411 google scholar
  • Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value, and risk. Journal of Business & Industrial Marketing. google scholar
  • Kasilingam, D., & Krishna, R. (2021). Understanding the adoption and willingness to pay for the Internet of things services. International Journal of Consumer Studies, doi:10.1111/ijcs.12648 google scholar
  • Khan, N.S., Ghani, S. and Haider, S. (2018). ‘Real-time analysis of a sensor’s data for automated decision making in an IoT-based smart home,’ Sensors, Vol. 18, No. 6, pp.1-20. google scholar
  • Lu, Yang. (2021). Examining User Acceptance and Adoption of the Internet of Things. 10.13140/ RG.2.2.36737.58728. google scholar
  • Padyab, A., Habibipour, A., Rizk, A., & Stahlbröst, A. (2020). Adoption barriers of loT in large-scale pilots. Information (Switzerland), 11(1) doi:10.3390/info11010023 google scholar
  • Salleh, S. M., Daud, N. M. (2021). A new model of the framework for the influence of the Internet of things (IoT) usage on the grassroots innovators’ sustainability. ASM Science Journal, 14, 1-15. doi:10.32802/ asmscj.2020.763 google scholar
  • Sharma, A., & Chauhan, S. (2020). Grid scrutinize based heuristic sensor node scheduling protocol with partial coverage constraint in WSN doi:10.1007/978-3-030-39875-0_22 Retrieved from www.scopus.com google scholar
  • Singh, S., Haneef, F., Kumar, S., & Ongsakul, V. (2020). A framework for successful IoT adoption in agriculture sector: A total interpretive structural modeling approach. Journal for Global Business Advancement, 13(3), 382-403. doi:10.1504/JGBA.2020.111013 google scholar
  • Sinha, A., Shrivastava, G., & Kumar, P. (2019). Architecting user-centric internet of things for smart agriculture. Sustainable Computing: Informatics and Systems, 23, 88-102. doi:10.1016/j.suscom.2019.07.001 google scholar
  • Siow, E., Tiropanis, T., & Hall, W. (2018). Analytics for the Internet of things: A survey. ACM Computing Surveys, 51(4), 74. google scholar
  • Soltani, S. (2021). B2B engagement within an internet of things ecosystem. Journal of Business and Industrial Marketing, doi:10.1108/JBIM-05-2020-0224 google scholar
  • Villa-Henriksen, A., Edwards, G. T. C., Pesonen, L. A., Green, O., & S0rensen, C. A. G. (2020). Internet of things in arable farming: Implementation, applications, challenges, and potential. Biosystems Engineering, 191, 60-84. doi:10.1016/j.biosystemseng.2019.12.013 google scholar
  • Winter, D. G., & McClelland, D. C. (1978). Thematic analysis: An empirically derived measure of the effects of liberal arts education. Journal of Educational Psychology, 70(1), 8. google scholar
  • Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming review.Agricultural Systems, 153,69e80.https://doi.org/10.1016/j.agsy.2017.01.023. google scholar
  • World Bank. (2017). ICT in agriculture: Connecting smallholders to knowledge, networks, and institutions (updated ed). WashingtonDC: The World Bank Group.https://doi.org/10.1596/978-1-4648-1002-2 google scholar
  • Zitan, H., Khalid, C. (2021). Literature review synthesis on predictors of Green IoT irrigation adoption in Morocco: Theoretical construct essay. In International Conference on Data Science, E-learning and Information Systems 2021 (DATA’21). Association for Computing Machinery, New York, NY, USA, 234242. DOI:https://doi.org/10.1145/3460620.3460763 google scholar


SHARE




Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.