The adoption of drones in German agriculture: a structural equation model

Michels, Marius; Hobe, Cord-Friedrich von; Ahlefeld, Paul Johann Weller von; Mußhoff, Oliver

doi:10.1007/s11119-021-09809-8

Cited by 53 publications

(26 citation statements)

References 42 publications

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“…This finding contradicts the original assumption underlying the TAM model but aligns with the previous findings of a study that explored drone acceptance in agriculture. The researchers attributed this finding to the multiplicity of uses entailing different skill levels; in other words, the effect of perceived ease of use is different for each application and cannot point to a clear direction ( 73 ). Our finding supports this notion.…”

Section: Discussionmentioning

confidence: 99%

Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance

Shapira

Cauchard²

2022

Front. Public Health

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The aim of the study was to propose and test an integrated model combining the technology acceptance model (TAM), task-technology fit (TTF), social motivation, and drone-related perceived risks to explore the intention to use drones in public health emergencies (PHEs). We conducted a survey among the Israeli population, yielding a sample of 568 participants. Structural equation modeling was implemented to test the research hypotheses. The results showed that our integrated model provided a robust and comprehensive framework to perform an in-depth investigation of the factors and mechanisms affecting drone acceptance in PHEs. First, ease of use, attitudes, individual-technology fit, task-technology fit, and social influence significantly and directly influenced users' behavioral intention to utilize drone technology. Second, attitudes were significant mediators of the effects of social influence and perceived risks on the intention to use drones. Finally, significant relationships between TAM, TTF, social motivation, and perceived risks were also observed. Theoretical aspects and practical implications—which can serve as the basis for shaping a positive development in drone public acceptance in PHEs and in general—are discussed.

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Section: Discussionmentioning

confidence: 99%

Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance

Shapira

Cauchard²

2022

Front. Public Health

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“…Technology acceptance model (TAM) TAM is used to explain how perceived usefulness and perceived ease of use afect personal behaviors [18] AVs: Wu et al [18]; Liu et al [19]; Dirsehan and Can [20]; Chan and Lee [21]; Li et al [22] UAVs: Leon et al [23]; Michels et al [24]; Choe et al [25] Autonomous robots: Abrams et al [26] Unifed theory of acceptance and use of technology model (UTAUT) UTAUT was developed from TAM, TPB, and other models to explore user acceptance and includes four constructs (i.e., performance expectancy, efort expectancy, social infuence, and facilitating conditions) [21] AVs: Chan and Lee [21]; Adnan et al [27]; Hewitt et al [28];…”

Section: Referencesmentioning

confidence: 99%

Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

Huang

Wang

et al. 2023

Journal of Advanced Transportation

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The high demand and acute timeliness that characterizes instant delivery entail the challenges of high labor costs and an increase in courier traffic accidents. Autonomous delivery vehicles (ADVs) may serve as a key solution, with their attendant reduced labor input and higher efficiency. Customers play a key role in the successful implementation of ADVs on a large scale. However, understanding the factors that affect customers’ intentions to use ADVs is still limited. Compared to autonomous driving, ADV customers are ultimately not the real users, who only are served by ADVs during the last leg of a trip. On account of this, the Technology Acceptance Model (TAM) may not be well-fitted for explaining the dynamics involved in ADV adoption. Within the context of ADVs, our study identified influencing factors that have not been captured by prior studies. This study incorporates infection risk, use experience, and social awkwardness into the Diffusion of Innovation (DOI) theory to explore customers’ intentions to use ADVs. Data from 691 survey respondents were collected to validate the research design. The results demonstrate that compatibility, social influence, infection risk, green image, social awkwardness, and use experience all have a significantly positive impact on customers’ intentions to adopt ADV services, while complexity and perceived risk both exhibited a negative impact. But no effect could be found for relative advantage, which may be because of the fact that customers only need ADVs to meet their delivery demand. This study contributes to understanding customers’ adoption intentions toward ADVs, informing policymakers in formulating ADV regulations and standards, and promoting the large-scale application of ADVs in instant delivery services.

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“…46,47 In recent years, cross-regional services by unmanned aerial vehicles have developed rapidly. Because of its higher flexibility and efficient operation, 48 a drone can complete pesticide application for 46.7 ha per day in the critical period of crop disease and insect pest prevention, thus drones are highly welcomed by new agricultural business entities. Therefore, the development of local specialized agricultural services not only directly affects pesticide application intensity in the area itself but also produces a spatial spillover effect on pesticide application intensity in other areas through cross-regional services.…”

Section: Theoretical Framework 211 Direct Effect Of Specialized Agric...mentioning

confidence: 99%

The dual impacts of specialized agricultural services on pesticide application intensity: Evidence from China

Qian

Wang

et al. 2022

Pest Management Science

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BACKGROUND: Specialized agricultural services are a new trend in agricultural production around the world, especially in developing countries. However, the growing impacts of specialized agricultural services on pesticide application intensity are unclear. In regions facing pesticide overuse, do specialized agricultural services exacerbate or mitigate the problem? RESULTS: Based on province-level panel data from China from 2004 to 2018, this study examines the impact of specialized agricultural services on pesticide application intensity, considering both direct and indirect (i.e. spatial spillover) effects. The dual impacts of specialized agricultural services on pesticide application intensity in China are identified. First, specialized agricultural services directly increase pesticide application intensity, likely due to increased cultivation and specialized management of land that was previously abandoned or marginally managed. Second, there is a negative indirect or spatial spillover effect of specialized agricultural services on pesticide application intensity, likely due to technology and efficiency diffusion enabled by the cross-regional provision of specialized agricultural services. The net impact of specialized agricultural services on pesticide application intensity is negative. CONCLUSION: Crop protection services are regarded as the core force to promote the reduction of pesticide application intensity. Steps should be taken to promote the research and development, demonstration, and promotion of new technologies and equipment for crop protection services, particularly the development of crop protection by drones.

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The adoption of drones in German agriculture: a structural equation model

Cited by 53 publications

References 42 publications

Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance

Integrating drones in response to public health emergencies: A combined framework to explore technology acceptance

Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience

The dual impacts of specialized agricultural services on pesticide application intensity: Evidence from China

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