DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Determinants of Durian Post-Harvest Practices Adoption: A Smart PLS Approach


Article Information

Title: Determinants of Durian Post-Harvest Practices Adoption: A Smart PLS Approach

Authors: Tengku Halimatun Sa’adiah T. Abu Bakar, Norsida Man, Nolila Mohd Nawi, Jasmin Arif Shah Shah and Munifah Siti Amira Yusuf

Journal: Sarhad Journal of Agriculture

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2020-07-01 2021-06-30

Publisher: The University of Agriculture, Peshawar

Country: Pakistan

Year: 2025

Volume: 41

Issue: 1

Language: English

DOI: 10.17582/journal.sja/2025/41.1.165.175

Keywords: UTAUT modelPost-harvest practicesPractice adoptionAgricultural extension serviceKAP model

Categories

Abstract

Abstract | Durian is a commercially valuable fruit with a short shelf life and high susceptibility to deterioration if not handled properly after harvest. Therefore, good post-harvest is vital to maintain the quality of durian. Unfortunately, farmers’ adoption of post-harvest practices (PHP) remains low. Agricultural extension services significantly influence farmers’ decisions, but studies on their impact on PHP are ambiguous. This study aims to determine the factors affecting the adoption of PHP among durian farmers in Peninsular Malaysia. The combination of the Unified Theory of Acceptance and Use of Technology (UTAUT), the Knowledge-Attitude-Practice (KAP) Model, and extension services are utilised to address some of the contradictions in the literature regarding PHP adoption. Through multi-stage sampling techniques, 400 durian farmers in Peninsular Malaysia were selected for sampling and population. Smart-PLS was employed to analyse and answer the research objectives. The findings of this study indicates that agricultural extension services (β=0.109; t=1.901; p=0.029), attitude (β =0.271; t=4.781; p=0.000), knowledge (β =0.181; t=4.897; p=0.000), facilitating conditions (β=0.115; t=1.073; p=0.044), and effort expectancy (β =0.166; t=2.741; p=0.003) significantly influence post-harvest adoption. In contrast, social influence (β =0.036; t=0.681; p=0.248), and performance expectancy (β=0.048; t=0.771; p=0.220) were found to be insignificant. Special attention should be paid to other factors influencing PHP adoption to support new literature on technology adoption theories or models in future studies. This study is also significant in meeting the National Agrofood Policy 2.0 (2021-2030), drafted by the government to enhance food security and improve international trade.


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...