A model of adoption determinants of IoT within the T-O-E framework in the Malaysian agriculture sector

• Published in: Global business and management research Vol. 16; no. 4S; pp. 1886 - 1898
• Main Authors: Md Saad, Nor Hasliza, Yaacob, Zulnaidi, Peng, Wong Wai, Anwar, Muhammad Fahad
• Format: Journal Article
• Language: English
• Published: Boca Raton Global Business and Management Research: An International Journal 01.10.2024; Mehran Nejati
• Subjects: Agricultural industry; Agriculture; Automation; Crop diseases; Farm machinery; Food; Food supply; Innovations; Internet of Things; Literature reviews; Pandemics; Pesticides; Productivity measurement; R&D; Research & development; Technology adoption; Malaysia
• ISSN: 1947-5667; 1947-5667

Purpose: The adoption of digital technologies in the agricultural sector has produced paradoxical outcomes in terms of enhancing productivity and managing food supply chains for economies. With a growing population, there is a pressing need to improve agricultural productivity and sustainability and reduce the waste of resources. In spite of having access to the digitalisation of IR4.0, Malaysian agricultural sector has yet to effectively harness the potential of the Internet of Things (IoT). IoT has revolutionized processes across various industries and is poised to play a transformative role in agriculture by enabling automation and remote monitoring, thereby reducing the need for human intervention. This paper aims to develop the framework for adopting IoT in the agriculture sector by agroprenuers. It integrates the theoretical perspectives of the Technology-Organization-Environment (T0E) Model and Diffusion Innovation Theory (DIT) in the conceptualisation of the IoT--A (IoT Agriculture) adoption framework. Methodology: The adaptation of IoT in the agriculture sector is a complex process and requires many technical and non-technical aspects. The study began by identifying the problem, reviewing the literature, and examining previous research gaps on the subject of this study. Findings from the literature are analyzed and synthesized. Findings: The findings for this study are the extraction of important internal (technology, organisational) and external (environment) determinants and their linkages with IoT-A diffusion for the agriculture sector. Research limitations/implications: The limitation of this study is perhaps the empirical assessment of the proposed IoT-A diffusion framework. Practical implications: The outcome of this paper will contribute to practices by suggesting the IoT-A diffusion framework that practitioners, policymakers, and government institutions then use to draft policies and actions to increase the implementation initiative of IoT in the agriculture sector. Originality/value: The originality of this research is the interplay between the model and DIT theory for the diffusion of IoT-A in the agriculture sector. Keywords: Internet of Things, Agriculture, Malaysia, TOE model, Diffusion Innovation Theory