Factors influencing intention to adopt ICT among intensive shrimp farmers

Ulhaq, Irfan; Pham, Thi Anh Ngoc; Le, Vu Minh; Pham, Hiep-Cong; Le, Tru Cong

doi:10.1016/j.aquaculture.2021.737407

Cited by 46 publications

(41 citation statements)

References 36 publications

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“…In the aquaculture field, Obiero et al 14 followed this vision by describing high adopters as those who "had fully adopted" TI's components. To discern different levels of uptake, Ulhaq et al 26 framed the initial stages of adoption, referring to that period in which fish farmers…”

Section: Phase 4 -Implementationmentioning

confidence: 99%

From the AKAP to AKAIE model to assess the uptake of technological innovations in the aquaculture sector

Vecchio

Masi

Adinolfi

2022

Reviews in Aquaculture

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The purpose of this study is to explore the adoption of innovation in the aquaculture sector through the Awareness Knowledge Adoption Implementation Effectiveness (AKAIE) sequence. The AKAIE is an extension of the Awareness Knowledge Adoption Product (AKAP) model in order to better investigate the post-adoption phases. Using the 'Implementation' and 'Effectiveness' phases, this study aims to further the understanding of both the different levels of adoption and the impact of innovation in terms of environmental, economic and social benefits produced. The proposed sequence is contextualised in light of the multidimensional scenario of on-farm and off-farm factors acting alongside the adoption of new technologies in the aquaculture sector. In this paper, the perspective of aquaculturists is represented with the concept of perceived complexity as the central node of the adoption process. The proposed tool could support policy makers in understanding and disseminating innovation in aquaculture.

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Section: Phase 4 -Implementationmentioning

confidence: 99%

From the AKAP to AKAIE model to assess the uptake of technological innovations in the aquaculture sector

Vecchio

Masi

Adinolfi

2022

Reviews in Aquaculture

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“…Farmers believed that there was a cost to adopting new agricultural technologies. They would, therefore, invest in it only if the expected benefits outweighed the costs [ 67 ]. In fact, tea production faced many challenges, including price fluctuation, climate change, and cultivation risks [ 22 , 68 ].…”

Section: Discussionmentioning

confidence: 99%

“…Such perceptions being external and self-perception being internal, the impact of self-perception was more direct. Farmers relied on their previous experience in managing production [ 67 ]; thus, it was difficult for subjective norms to influence their long-term beliefs.…”

Section: Discussionmentioning

confidence: 99%

The Perception of the National Traceability Platform among Small-Scale Tea Farmers in Typical Agricultural Areas in Central China

Huang

Liu

Guo

et al. 2022

IJERPH

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As one of the key technologies to ensure the safety of agricultural products, the national traceability platform is being widely promoted in China. However, it has not yet been widely adopted among farmers, especially small-scale farmers. Farmers are both producers and direct participants in the traceability of agricultural products. Their perception directly affects the effectiveness of the promotion of the national traceability platform. This study explores the perception of the national traceability platform among small-scale tea farmers in typical agricultural areas in central China. This research employed Q methodology, an approach that integrates both qualitative and quantitative data allowing individuals’ subjective understandings of a specific topic to be studied. The Q-sort procedure was performed in the field with 16 small-scale tea farmers. Next, Q-factor analyses were conducted using the Ken-Q analysis. The results show that small-scale tea farmers have different perceptions of the national traceability platform. Their main characteristics are active participation, resistant participation, risk aversion, and being driven by pressure. These four categories covered 52% of the perceived variance. Meanwhile, there is also a degree of internal consistency in the perception of small-scale tea farmers. Specifically, they are all concerned that participating in the national traceability platform may increase the cost and risk of cultivation and that it is difficult to obtain support from agricultural technicians. Therefore, understanding the perceptions of tea farmers of the national traceability platform is the premise for formulating effective promotion policies. Our research sheds light on the decision-making mechanisms for small-scale tea farmers to participate in national traceability platforms, further expanding the scope of current research on farmer behavior. This research has reference significance for promoting national traceability platforms in China and other countries around the world.

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“…The technology acceptance model (TAM) and theory of planned behavior under perceived production risks were combined to analyze the factors affecting farmers' intentions to adopt information and communication technologies in intensive shrimp production in Vietnam [12]. The TAM has also been used to promote smart farming by Iran farmers [13], for which constructs were established that directly impact behavioral intention.…”

Section: Introductionmentioning

confidence: 99%

Toward the Adoption of Anaerobic Digestion Technology through Low-Cost Biodigesters: A Case Study of Non-Centrifugal Cane Sugar Producers in Colombia

Menjura

Castro

Vera

et al. 2021

Water

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Anaerobic digestion using low-cost biodigesters (LCB) is a promising alternative for Colombian producers of non-centrifugal cane sugar (NCS). Since the integration of anaerobic digestion technology in this agro-industry is novel, it is critical to understand the factors that affect the acceptance behavior of such technology by NCS producers to develop future policies that promote the adoption of sustainable energy alternatives. This study aimed to analyze NCS producers’ behavioral intention to use LCB by utilizing an extended technology acceptance model (TAM). Data from a survey of 182 producers were used to evaluate the proposed model empirically. The extended TAM accounted for 78% of the variance in producers’ behavioral intention to use LCB. Thus, LCB acceptability could be fairly precisely predicted on the basis of producers’ intentions. This study’s findings contribute to research on the TAM and provide a better understanding of the factors influencing NCS producers’ behavioral intention to use LCB. Furthermore, this approach can assist policymakers at the local and global levels, given that NCS is produced in various developing countries worldwide.

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Factors influencing intention to adopt ICT among intensive shrimp farmers

Cited by 46 publications

References 36 publications

From the AKAP to AKAIE model to assess the uptake of technological innovations in the aquaculture sector

From the AKAP to AKAIE model to assess the uptake of technological innovations in the aquaculture sector

The Perception of the National Traceability Platform among Small-Scale Tea Farmers in Typical Agricultural Areas in Central China

Toward the Adoption of Anaerobic Digestion Technology through Low-Cost Biodigesters: A Case Study of Non-Centrifugal Cane Sugar Producers in Colombia

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