Willingness and Influencing Factors of Pig Farmers to Adopt Internet of Things Technology in Food Traceability

Sun, Ruiyu; Zhang, Siyao; Wang, Tianyu; Hu, Jian; Ruan, Junhu; Ruan, Junyong

doi:10.3390/su13168861

Cited by 20 publications

(16 citation statements)

References 29 publications

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“…Technology use in livestock production systems continues to increase (Neethirajan & Kemp 2021 ). However, adoption of technology is affected by several factors; Sun et al ( 2021 ) identified performance expectancy, effort expectancy, social influence, personal innovation, and perceived risk as factors influencing pig farmers’ intention to adopt technology relating to food traceability. A survey of German citizens reported positive attitudes towards digital farming technology and increasing technology adoption rates by providing subsidies (Pfeiffer et al 2021 ), suggesting that the use of these technologies on pig farms is unlikely to trigger public concern.…”

Section: Resultsmentioning

confidence: 99%

Swine industry perspectives on the future of pig farming

von Keyserlingk,

Hendricks,

Ventura

et al. 2024

Anim. welf.

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Understanding the views of those working along the value chain reliant on livestock is an important step in supporting the transition towards more sustainable farming systems. We recruited 31 delegates attending the Pig Welfare Symposium held in the United States to participate in one of six focus group discussions on the future of pig farming. Each of these six group discussions was subjected to a thematic analysis that identified four themes: (1) technical changes on the farm; (2) farm and industry culture; (3) the farm-public interface; and (4) sustainability. The results of this study illustrate the complexity and diversity of views of those working along the associated value chain within the swine industry. Participants spent the majority of their time discussing current challenges, including technical challenges on the farm and public perception of pig farms. Participants were more hesitant to discuss future issues, but did engage on the broader issue of sustainability, focusing upon economic and environmental aspects.

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Section: Resultsmentioning

confidence: 99%

Swine industry perspectives on the future of pig farming

von Keyserlingk,

Hendricks,

Ventura

et al. 2024

Anim. welf.

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“…The aim of this study is to investigate the factors that influence behavior and its impact on the intention to adopt IMS. To achieve this, the study will use the UTAUT theoretical framework, which has been widely used to examine technology adoption in organizations [21]. Specifically, the study will focus on the relationships between the four main constructs of UTAUT, i.e., performance expectancy, effort expectancy, social influence, and facilitating conditions, and their relationships with behavior intention and use behavior, and how they affect behavioral intention and use behavior [22,23,24,25,26].…”

Section: Methodsmentioning

confidence: 99%

Technology Adoption and Usage Behaviors in Field Incident Management System Utilization

Buyan,

Jesus,

2023

IJACSA

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This study utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) model to analyze the adoption and utilization of field incident management system (IMS) in a manufacturing organization. The study specifically focused on the role of behavior as a key factor in the adoption and utilization of incident management system. Data was collected through a survey of employees who had utilized the IMS system and the UTAUT model was used to analyze the data. The results indicated that behavior in the system significantly influenced the adoption and utilization of IMS. The study also found that the UTAUT model provided a useful framework for understanding the adoption and utilization of IMS, particularly the importance of performance expectancy, effort expectancy, social influence, and facilitating conditions. The study provides valuable insights for organizations looking to implement IMS and improve their incident management processes. It highlights the importance of building behavior in the system through appropriate user experience and user training. The findings of this study have important implications for manufacturing organizations seeking to enhance their incident management procedures through the adoption and utilization of IMS.

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“…Researchers have stated that consumers’ food waste habits are complicated as a result of the interplay between numerous home activities, and that influencing these behaviors is crucial [ 49 , 50 ]. The social impact theory might be one way that people learn from one another, resulting in attitude and behavior modification [ 51 ].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

The Behavioral Intention to Adopt Circular Economy-Based Digital Technology for Agricultural Waste Valorization

Pienwisetkaew,

Wongsaichia,

Pinyosap

et al. 2023

Foods

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Thailand generates considerable amounts of agricultural food waste. This research focuses on the manufacturing and retail agricultural food system in the northeastern region of Thailand. Our study aimed to investigate the user segments and factors that influence users’ behavioral intentions to utilize mobile technology for agricultural waste valorization. This study is based on the Unified Theory of the Adoption and Utilization of Technology (UTAUT2). In order to classify these segments, we performed a cluster analysis using demographic variables: gender, age, and income. In addition, the researchers employed a method known as multigroup structural equation modeling to determine and contrast the users’ behavioral intentions. The results showed two types of users: (1) older users with various income ranges, and (2) younger users with a low-income range. Explicitly, age and income were the significant variables for the demographic segmentation, but gender was not. The results also revealed that social influence, price value, and trust highly affected the behavioral intentions of older and various-income users, but did not influence younger and low-income users. However, privacy strongly affected the behavioral intentions in the younger segment, but not those in the older one. Lastly, habit or regularity influenced the behavioral intentions of users in both segments. This study highlights implications for how developers and practitioners might adapt their platform strategies using a circular agricultural platform and user behaviors.

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Willingness and Influencing Factors of Pig Farmers to Adopt Internet of Things Technology in Food Traceability

Cited by 20 publications

References 29 publications

Swine industry perspectives on the future of pig farming

Swine industry perspectives on the future of pig farming

Technology Adoption and Usage Behaviors in Field Incident Management System Utilization

The Behavioral Intention to Adopt Circular Economy-Based Digital Technology for Agricultural Waste Valorization

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