Integrated Technology Acceptance Model for the Evaluation of Agricultural Decision Support Systems

Shabir, Mir; Padma, T.

doi:10.1080/1097198x.2020.1752083

Cited by 9 publications

(5 citation statements)

References 64 publications

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“…Numerous studies have validated the Technology Acceptance Model's efficacy in evaluating technology adoption in agriculture [42,43]. Venkatesh and Davis [44] reported that the TAM explains a significant proportion of variance in usage intentions and behavior, with studies in Thailand highlighting the model's relevance in dairy technology adoption [43]. Flet et al [39] found significant associations between perceived usefulness, perceived ease of use, and technology adoption among dairy farmers in New Zealand.…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

Erdem,

Ağır

2024

Sustainability

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Technology and innovations have significant potential to enhance farm productivity, profitability, and economic sustainability. This study comprehensively investigates the relationship between technology adoption and economic performance within dairy farming. First, it seeks to clarify how socio-economic, information-seeking, behavioral factors and technical efficiency influence the level of technology adoption in dairy farms. It also compares the economic indicators of dairy farms depending on their technology adoption levels and evaluates whether technology adoption affects dairy farms’ technical, allocative, and economic efficiency. The data were collected from 188 dairy farmers in Kahramanmaraş Province in the East Mediterranean Region of Turkey in 2022. The results reveal that dairy farms’ technology adoption levels are influenced by income, household size, investment, ownership of cultured cattle breeds, Chamber of Agriculture membership, contact frequency with private veterinarians and other farmers, perceived ease of use, perceived usefulness, and technical efficiency. Farms with high-level technology adoption demonstrate increased profitability and efficiency scores, highlighting the positive correlation between technology adoption and farm efficiency. Policymakers should focus on training and support programs for dairy farmers to optimize technology use and input management. They can also promote resource-efficient farming and provide financial incentives for sustainable practices and dairy technologies.

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Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

Erdem,

Ağır

2024

Sustainability

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“…There is a need for more evaluation from users to help designers discern the utility of what has been created. Mir and Padma (2020) DSS evaluation typically emphasizes quality, reliability, and usefulness yet often overlooks usability. Prioritizing usability assessment is crucial for ensuring long-term user acceptance and adoption of DSS technology.…”

Section: Related Workmentioning

confidence: 99%

Usability assessment of a greenhouse context-aware alert system for small-scale farmers

Brenes,

López,

Ferrández-Pastor

et al. 2024

Front. Comput. Sci.

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In the dynamic landscape of modern agriculture, integrating technology holds immense potential to enhance efficiency and productivity for small-scale farmers. This study presents a user-centric evaluation of an intelligent context-aware alert system, tailored for small-scale greenhouse farming. We employed standardized questionnaires, including the NASA Task Load Index and the User Experience Questionnaire, to assess the system's perceived utility, mental workload, and overall user experience. Our findings reveal the high perceived utility of the system among farmers. Farmers participating in the assessment indicated a strong intention to utilize the system for crop monitoring. Moreover, the system demonstrated a moderate mental workload, suggesting ease of use and potential acceptance by users. Our evaluation highlighted an excellent user experience, with scores ranging from very good to extremely good across all dimensions. Furthermore, user preferences for alert mechanisms underscored the importance of adaptable notifications, with voice and text alerts favored for comprehensive information dissemination. Light and voice alerts were preferred during manual tasks. This study highlights the significance of user-centered design in agricultural technology, offering insights to enhance the usability and the adoption of alert systems in small-scale farming environments. The positive reception of the system's utility and the moderate mental workload suggest that such technology can be readily adopted by farmers, thereby improving monitoring and management practices in greenhouse farming. The preference for adaptable alert mechanisms further emphasizes the need for flexible and context-sensitive solutions in agricultural technology.

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“…Previous research has shown that the TAM is applicable to a wide range of agricultural systems (Duong et al, 2019;Mir and Padma, 2020;Molina-Maturano et al, 2020). Farmers and other stakeholders are seen to be more accepting of technological innovation when they have a good understanding of how it will work.…”

Section: Internal Factorsmentioning

confidence: 99%

Factors influencing technological innovation among agribusiness firms: A survey of small agricultural businesses in Ghana.

Li¹,

Ntiamoah²,

Nyamah³

et al. 2022

New Medit

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Agricultural research in Ghana has resulted in a number of innovations targeted at increasing the productivity of small agricultural businesses. However, none of these studies has investigated the factors that influence the adoption of technological innovation in Ghanaian agriculture businesses. Hence, this study examine the factors that influence the adoption of technological innovation in Ghanaian agribusinesses. Structural equation modeling was used to examine data collected from 1526 agribusiness employees in Ghana using a convenience sampling technique and a questionnaire survey. The findings indicate that internal, and external factors have an impact on information and communication technology (ICT), and new materials and technology (NM & NT), but no or little impact on biotechnology (BT) respectively. Also, the study reveal that human capital factors have a substantial impact on ICT, BT, and NM & NT. Lastly, the findings show that ICT, BT, and NM & NT have a positive and significant impact on technological innovation. The study underscores the need for agribusinesses to focus on internal and human capital factors since they increase employees' productivity and efficiency.

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Integrated Technology Acceptance Model for the Evaluation of Agricultural Decision Support Systems

Cited by 9 publications

References 64 publications

Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

Enhancing Dairy Farm Welfare: A Holistic Examination of Technology Adoption and Economic Performance in Kahramanmaraş Province, Turkey

Usability assessment of a greenhouse context-aware alert system for small-scale farmers

Factors influencing technological innovation among agribusiness firms: A survey of small agricultural businesses in Ghana.

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