Adoption and perception of farm management information systems by future Swiss farm managers – An online study

Ammann, Jeanine; Walter, Achim; Benni, Nadja El

doi:10.1016/j.jrurstud.2021.12.008

Cited by 14 publications

(14 citation statements)

References 31 publications

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“…Moreover, the findings documented in the existing literature (Ammann et al, 2022;Gyawali et al, 2023;Martínez-Domínguez and Mora-Rivera, 2020;Tamirat et al, 2018) are not agreement across the research. For example, Tamirat et al (2018) investigated factors shaping the farmers' use of digital agricultural technologies in Denmark and Germany, using a binary logit model, and found that the young farmers tended to adopt digital tools in agriculture production more than older farmers.…”

Section: Introductionmentioning

confidence: 62%

“…As reviewed earlier, adoption of digital agricultural technologies is likely associated with demographic, socio-economic, situational and institutional factors. Previous research has revealed that different farmers have a different adoption of digital agricultural technologies (Abdulai et al, 2023; Ammann et al, 2022; Giua et al, 2022; Larson et al, 2008; Michels et al, 2019; Pfeiffer et al, 2021; Pivoto et al, 2019; Silva et al, 2011; Tamirat et al, 2018). As shown in Figure 1, the dependent and explanatory variables are associated with an arrow revealing that the dependent variable (adoption of digital agricultural technologies) is affected by the explanatory variables.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…The term ‘digital agricultural technologies’ refers to the application of information and communication technologies (such as internet, mobile phone), sensors, automation and robots in agricultural production systems in order to collect and analyse data to assist process of effective production and marketing (Ammann et al, 2022; Bolfe et al, 2020; Burra et al, 2021). It covers a wide range of modern technologies, from small mobile apps (such as smartphone applications) for farmers’ decision support, over in-field sensors (such as for measuring soil moisture) and techniques of remote sensing for collecting and analysing data, and to small flying device and automaton of agricultural production processes (Ammann et al, 2022; Bolfe et al, 2020). According to Wolf and Buttel (1996), the digital term in the field of agriculture encompasses techniques, scientific knowledge and equipment from precision agriculture, which was started in last decades.…”

Section: Introductionmentioning

confidence: 99%

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Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Hoang,

Tran

2023

Outlook Agric

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This study examines smallholder farmers’ perception of digital agricultural technology and factors that shape the smallholders’ adoption of it in South Central Vietnam. A sample size of 202 smallholder farmers was randomly chosen from a total population of 407 smallholder farmers. Descriptive statistics and a binary logistic regression were used to analyse the data. The results show that the internet and connectivity/wireless, mobile applications and digital platforms are the common digital technologies used by smallholder farmers and these are also the most effective digital technologies for dealing with agricultural production and marketing issues. It can be concluded that younger smallholder farmers who had higher education levels, who interacted with scientists and possessed large farms are in a better position to adopt digital technologies of the internet and connectivity/wireless, mobile applications and digital platforms than older smallholder farmers who had lower education levels, did not interact with scientists and owned small farms. Smallholder farmers who participated in training programs, was member of community-based organisations and contacted with extension workers tend to be digital technology users of the internet and connectivity/wireless and mobile applications. Smallholder farmers who live far from local markets tend to be digital technology users of digital platforms compared to those who live close to one. The provision of training courses on the use of digital technologies in agriculture that consider demographic, socio-economic and institutional characteristics of smallholders when designing and delivering, is a proper agricultural extension strategy which can foster the smallholder farmers to adopt digital technologies for managing agricultural production and marketing systems.

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Section: Introductionmentioning

confidence: 62%

Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Hoang,

Tran

2023

Outlook Agric

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“…Therefore, 42% of the experts mentioned increasing the practical relevance, which goes hand in hand with training and the demonstration of the economic benefits of these new technologies. Importantly, a recent study among teachers and students of the farm management course in Switzerland came to the same conclusion that practical relevance should be strengthened (Ammann et al, 2022). For instance, experimental fields and similar efforts can represent a huge potential for the promotion of new technologies.…”

Section: Drivers and Barriers In The Adoption Of New Technologiesmentioning

confidence: 96%

The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study

2022

Self Cite

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Digital technologies are a promising means to tackle the increasing global challenges (e.g., climate change, water pollution, soil degradation) and revolutionising agricultural production. The current research used a two-stage Delphi study with 34 experts from various domains, including production, advisory and research, to identify the key drivers and barriers, the most promising technologies and possible measures to support technology adoption in Swiss outdoor vegetable production. Combining these experts’ views, the method provides realistic scenarios for future development. In Round 1, open-ended questions were used to collect the experts’ opinions. These were then transformed into closed-ended questions for Round 2, where controlled feedback was provided to the experts. Twenty-six experts participated in both rounds, resulting in an overall response rate that was comparably high (76%). It was found that economic factors were important drivers and barriers in technology adoption and, consequently, the experts recommended financial measures to support this adoption. The practical relevance of new technologies provided through communication and education holds further potential in terms of their promotion. These findings are valuable beyond the research field. Educators and policy makers can build on the results and optimally align their efforts to target technology adoption and contribute to more sustainable agriculture.

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“… Repository name: Online survey among students and teachers in the Swiss farm management course Data identification number: 7108132 Direct URL to data: https://zenodo.org/record/7108132 [1] Related research article Ammann, J., Walter, A., El Benni, N., Adoption and perception of farm management information systems by future Swiss farm managers – An online study, Journal of Rural Studies, 89, 298-305 (2022) https://doi.org/10.1016/j.jrurstud.2021.12.008 . [2] …”

mentioning

confidence: 99%

Dataset on digital technologies as learning content in farm manager training in Switzerland and willingness to use farm information systems

2023

Self Cite

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Adoption and perception of farm management information systems by future Swiss farm managers – An online study

Cited by 14 publications

References 31 publications

Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

Smallholder farmers’ perception and adoption of digital agricultural technologies: An empirical evidence from Vietnam

The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study

Dataset on digital technologies as learning content in farm manager training in Switzerland and willingness to use farm information systems

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