2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia
| Format: | General Document |
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| _version_ | 1860798047493029888 |
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| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2024-07-31 |
| format | General Document |
| id | 15629 |
| institution | UniSZA |
| internalnotes | Sila masukkan subject wajib Dissertations, Academic. Terima kasih... |
| originalfilename | 15629_bad1f835a191f61.pdf |
| person | Uzairu Muhammad Gwadabe |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15629 |
| sourcemedia | Server storage Scanned document |
| spelling | 15629 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15629 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu Faculty of Business and Management English application/pdf 1.5 Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access Universiti Sultan Zainal Abidin SAMBox 3.0.10; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) Copyright©PWB2025 15629_bad1f835a191f61.pdf 385 Uzairu Muhammad Gwadabe Individual Entrepreneurial Orientation Agripreneurs’ Intention Adopt Big Data Devices For Agriculture In Malaysia Entrepreneurship – Agricultural sector – Malaysia Agripreneurs – Technology adoption – Malaysia Big data – Agricultural applications – Malaysia Precision agriculture Smart farming 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia 2024-07-31 The world’s population is growing at a faster rate than food production, leading to an urgent need for a 70% increase in global food production by 2050. However, limited arable land, rapid urbanization, and climate change are major obstacles to achieving this goal. Similarly, in Malaysia, the agricultural food sector's growth is not keeping up with population growth, and the country is becoming increasingly reliant on agricultural food imports. Maximizing production and reducing farming costs can improve food security. To this end, agricultural scientists suggest that technologybased solutions could be the answer. Considering that agripreneurs, small-scale farmers who approach agriculture as a business in Malaysia, produce more than 90% of the country’s agrifood, it is important to investigate their potential to adopt Big Data Devices for Agriculture (BDDAs). Furthermore, previous studies on the topic have yielded mixed or contradictory results, necessitating the need for further research. In response, this study developed a framework combining the concepts of individual entrepreneurial orientation and the technology acceptance model to evaluate its effect on farmers’ intentions to adopt BDDAs. This study employed a quantitative research approach and a cross-sectional design. Stratified random sampling was utilised to select 384 respondents among agripreneurs in Malaysia. Data was collected using a 10-point self-administered questionnaire. The collected data were analysed through structural equation modelling (SEM) using IBM Statistical Package for the Social Sciences—Analysis of Moment Structures (IBM SPSS Amos) software version 28.0. The results of the study indicate that all three independent constructs (innovativeness, proactiveness, and risk-taking) have significant indirect impacts on agripreneurs’ intentions to adopt BDDAs in Malaysia. Additionally, all the indirect effects of the independent constructs on intention through the two mediative constructs (perceived usefulness [PU] and perceived ease of use [PEOU]) are significant, except for the indirect effect of risk-taking on intention through PEOU. The study also found that both PU and PEOU have significant direct effects on agripreneurs’ intentions. Therefore, PU mediates the relationship between innovativeness, proactiveness, and risk-taking on intention, while PEOU mediates the relationship between innovativeness and proactiveness on intention. However, PEOU does not mediate the relationship between risk-taking and agripreneurs’ intentions. This study provides valuable insights into the potential of small farmers in Malaysia to adopt BDDAs. The findings suggest that innovativeness, proactiveness, and risk-taking play a crucial role in agripreneurs’ intentions to adopt BDDAs. Additionally, PU and PEOU are important factors that mediate the relationship between innovativeness, proactiveness, and risk-taking in agripreneurs’ intentions. The study can be of importance to policymakers, agricultural scientists, and other stakeholders who can develop targeted interventions and policies to support small farmers in adopting BDDAs, ultimately improving agricultural productivity and food security in Malaysia. Dissertations, Academic Sila masukkan subject wajib Dissertations, Academic. Terima kasih... Thesis |
| spellingShingle | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| state | Terengganu |
| subject | Entrepreneurship – Agricultural sector – Malaysia Agripreneurs – Technology adoption – Malaysia Big data – Agricultural applications – Malaysia Precision agriculture Smart farming Dissertations, Academic |
| summary | The world’s population is growing at a faster rate than food production, leading to an urgent need for a 70% increase in global food production by 2050. However, limited arable land, rapid urbanization, and climate change are major obstacles to achieving this goal. Similarly, in Malaysia, the agricultural food sector's growth is not keeping up with population growth, and the country is becoming increasingly reliant on agricultural food imports. Maximizing production and reducing farming costs can improve food security. To this end, agricultural scientists suggest that technologybased solutions could be the answer. Considering that agripreneurs, small-scale farmers who approach agriculture as a business in Malaysia, produce more than 90% of the country’s agrifood, it is important to investigate their potential to adopt Big Data Devices for Agriculture (BDDAs). Furthermore, previous studies on the topic have yielded mixed or contradictory results, necessitating the need for further research. In response, this study developed a framework combining the concepts of individual entrepreneurial orientation and the technology acceptance model to evaluate its effect on farmers’ intentions to adopt BDDAs. This study employed a quantitative research approach and a cross-sectional design. Stratified random sampling was utilised to select 384 respondents among agripreneurs in Malaysia. Data was collected using a 10-point self-administered questionnaire. The collected data were analysed through structural equation modelling (SEM) using IBM Statistical Package for the Social Sciences—Analysis of Moment Structures (IBM SPSS Amos) software version 28.0. The results of the study indicate that all three independent constructs (innovativeness, proactiveness, and risk-taking) have significant indirect impacts on agripreneurs’ intentions to adopt BDDAs in Malaysia. Additionally, all the indirect effects of the independent constructs on intention through the two mediative constructs (perceived usefulness [PU] and perceived ease of use [PEOU]) are significant, except for the indirect effect of risk-taking on intention through PEOU. The study also found that both PU and PEOU have significant direct effects on agripreneurs’ intentions. Therefore, PU mediates the relationship between innovativeness, proactiveness, and risk-taking on intention, while PEOU mediates the relationship between innovativeness and proactiveness on intention. However, PEOU does not mediate the relationship between risk-taking and agripreneurs’ intentions. This study provides valuable insights into the potential of small farmers in Malaysia to adopt BDDAs. The findings suggest that innovativeness, proactiveness, and risk-taking play a crucial role in agripreneurs’ intentions to adopt BDDAs. Additionally, PU and PEOU are important factors that mediate the relationship between innovativeness, proactiveness, and risk-taking in agripreneurs’ intentions. The study can be of importance to policymakers, agricultural scientists, and other stakeholders who can develop targeted interventions and policies to support small farmers in adopting BDDAs, ultimately improving agricultural productivity and food security in Malaysia. |
| title | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| title_full | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| title_fullStr | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| title_full_unstemmed | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| title_short | 2024_Modelling Individual Entrepreneurial Orientation on Agripreneurs’ Intention to Adopt Big Data Devices for Agriculture in Malaysia |
| title_sort | 2024_modelling individual entrepreneurial orientation on agripreneurs’ intention to adopt big data devices for agriculture in malaysia |