<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec>
<h3>Purpose</h3>
<p>Agricultural technologies (agri-techs) have focused on developing the AI perspective of human-AI interaction rather than human perceptions and responses. A lack of understanding of their employees’ behavioral responses when interacting with advanced technologies can lead to unexpected problems in the future. Drawing on the theoretical perspective of advanced user engagement, this paper examines the impact of five different technostressors on user engagement and, consequently, user experience.</p>
</sec>
<sec>
<h3>Design/methodology/approach</h3>
<p>For data collection, 464 participants from the U.S. and Asian (Singaporean) agri-tech sectors were interviewed via an electronic survey.</p>
</sec>
<sec>
<h3>Findings</h3>
<p>The U.S. study showed that techno-overload, techno-complexity, and techno-uncertainty were positively related to user engagement (t = 2.609; t = 6.998, and t = 6.013, respectively), whereas techno-invasion and techno-uncertainty were negatively correlated with user engagement (t = –2.167 and t = –3.119, respectively). The Singapore study showed that techno-overload, techno-complexity, and techno-invasion were negatively related to user engagement (t = –2.185, t = –2.765; t = –5.062, respectively), while techno-insecurity and techno-uncertainty surprisingly showed nonlinear correlations with user engagement. In both studies, user engagement is positively related to user experience (t = 2.009 for the U.S. study and t = 2.887 for the Singapore study).</p>
</sec>
<sec>
<h3>Originality/value</h3>
<p>First, this paper provides agri-techs with a modern framework to better predict the behavioral responses of their employees when managing AI. Second, this paper expands the equation of change in the discipline of change management by introducing the dimension of readiness.</p>
</sec>
</abstract>

Purpose
Agricultural technologies (agri-techs) have focused on developing the AI perspective of human-AI interaction rather than human perceptions and responses. A lack of understanding of their employees’ behavioral responses when interacting with advanced technologies can lead to unexpected problems in the future. Drawing on the theoretical perspective of advanced user engagement, this paper examines the impact of five different technostressors on user engagement and, consequently, user experience.


Design/methodology/approach
For data collection, 464 participants from the U.S. and Asian (Singaporean) agri-tech sectors were interviewed via an electronic survey.


Findings
The U.S. study showed that techno-overload, techno-complexity, and techno-uncertainty were positively related to user engagement (t = 2.609; t = 6.998, and t = 6.013, respectively), whereas techno-invasion and techno-uncertainty were negatively correlated with user engagement (t = –2.167 and t = –3.119, respectively). The Singapore study showed that techno-overload, techno-complexity, and techno-invasion were negatively related to user engagement (t = –2.185, t = –2.765; t = –5.062, respectively), while techno-insecurity and techno-uncertainty surprisingly showed nonlinear correlations with user engagement. In both studies, user engagement is positively related to user experience (t = 2.009 for the U.S. study and t = 2.887 for the Singapore study).


Originality/value
First, this paper provides agri-techs with a modern framework to better predict the behavioral responses of their employees when managing AI. Second, this paper expands the equation of change in the discipline of change management by introducing the dimension of readiness.

Examining User Engagement and Experience in Agritech

International Journal of Contemporary Management

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Examining User Engagement and Experience in Agritech"}

Purpose
Agricultural technologies (agri-techs) have focused on developing the AI perspective of human-AI interaction rather than human perceptions and...

Examining User Engagement and Experience in Agritech

Article Category: Research Article

Data publikacji: 29 mar 2023

Zakres stron: 17 - 32

DOI: https://doi.org/10.2478/ijcm-2023-0003

Słowa kluczowe
extended user engagement theory, technostressors, agri-tech, artificial intelligence, user experience

© 2023 Helmi Issa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Examining User Engagement and Experience in Agritech

Article Category: Research Article

Data publikacji: 29 mar 2023

Zakres stron: 17 - 32

DOI: https://doi.org/10.2478/ijcm-2023-0003

Słowa kluczoweextended user engagement theory, technostressors, agri-tech, artificial intelligence, user experience

© 2023 Helmi Issa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
extended user engagement theory, technostressors, agri-tech, artificial intelligence, user experience