The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran

Taheri, Fatemeh; D'Haese, Marijke; Fiems, Dieter; Azadi, Hossein

doi:10.1016/j.techfore.2022.122075

Article (Scientific journals)

The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran

Taheri, Fatemeh; D'Haese, Marijke; Fiems, Dieter et al.

2022 • In Technological Forecasting and Social Change, 185, p. 122075

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/299988

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10.1016/j.techfore.2022.122075

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Keywords :

Precision agriculture; Structural equation modelling; Technology acceptance model (TAM); Wireless sensor networks; Cost effective; Environmentally-friendly technology; Farm management; Farm production; Network diffusions; Precision Agriculture; Structural equation models; Technology acceptance model; Wireless sensor network applications; Business and International Management; Applied Psychology; Management of Technology and Innovation

Abstract :

[en] Background: Wireless Sensor Networks (WSNs) are environmentally friendly technology supporting more timely and cost-effective farm management and production. Noting that the adoption rate of WSNs is particularly low in emerging and developing countries, agricultural professionals can play a key role in facilitating WSN adoption through dedicated training and extension activities. Objective: This study examines the determinants of the agricultural professionals' intention towards WSN diffusion using an extended version of the Technology Acceptance Model (TAM). Methodology: Data was collected from 109 professionals in Khuzestan province, Southwest Iran. The data was analysed using a Structural Equation Modelling (SEM) approach in SPSS Amos. Results: The key constructs of an original TAM significantly affected the intention expressed by the professions and explained 40 % of its variance. By adding additional constructs of knowledge, confidence, social influence and facilitating conditions, the extended TAM significantly improved the explanatory power of the original model to 54 %. By adding control variables, the inclusive TAM explained 60 % of the variation in the professionals' intention. Conclusion: The findings of this study provide a clearer understanding of the decisive factors affecting the promotion of WSNs and can provide a valuable frame for policy and decision-makers to develop WSN policy and practical plans.

Disciplines :

Agriculture & agronomy

Author, co-author :

Taheri, Fatemeh; Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium

D'Haese, Marijke; Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium

Fiems, Dieter; Department of Telecommunications and Information Processing, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement ; Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic ; Faculty of Environmental Science and Engineering, Babeș-Bolyai University, Cluj-Napoca, Romania

Language :

English

Title :

The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran

Publication date :

December 2022

Journal title :

Technological Forecasting and Social Change

ISSN :

0040-1625

eISSN :

1873-5509

Publisher :

Elsevier Inc.

Volume :

185

Pages :

122075

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S0040162522005960?httpAccept=text/xml

Funding text :

This research was financially supported by the Ghent University Special Research Fund (BOF) (code: 01D03418 ).

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since 13 February 2023

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