Michael Leyer
Biographic Data
| ID | 1743920 |
|---|---|
| NAME | Michael Leyer |
| GIVEN NAMES | Michael |
| FAMILY NAME | Leyer |
| SIGNATURE | LEYER M |
| AFFILIATIONS | Queensland University of Technology |
| ORCID | 0000-0001-9429-7770 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 20 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Physicians’ attitudes and perceived diagnostic confidence in point-of-care ultrasound in gynecology and obstetrics (GO-Pocus): A prospective single-center implementation study with structured training
Generative AI’s Impact on Individuals and Organizations: An Analysis Based on Human-AI Collaboration
Artificial intelligence has been rapidly increasing in sophistication and impact, reinforcing discussions of its extensive potential to disrupt individual practices and organizational designs. We consolidate data from the O*NET 2023 database on job roles to create a list of 85 corporate knowledge worker roles and associated skill levels. Next, together with five different genAI applications, we assess the 15 low skill level roles to identify whic…
Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art
Spillover effects in environmental behaviors: A scoping review about its antecedents, behaviors, and consequences
Research on environmental spillover, the phenomenon where engaging in one environmental behavior (EB) influences the likelihood of engaging in another EB, has expanded, introducing various theories and predictors to explain it. This study provides an overview and synthesis of the examined antecedents, behaviors, and consequences in environmental spillover research, while also identifying key gaps and shortcomings in the literature. Additionally, …
Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings
Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is a promising technological option to provide helpful analyses for online business meetings, but might be perceived as scary as emotions are a sensitive topic. However, employees' acceptance of such a type of software is not understood properly yet as there are no …
Measurement and performance impact of team mental models on process performance
Efficient business process execution is an essential part of an organisation’s success. It depends on good dynamic decision making of process actors that is guided by their mental models of business processes (MMBP). The study investigates the effect of MMBPs on process performance at two levels. At the level of individuals, the impact of MMBP accuracy on performance is analyzed, and at the level of a team, the effect of similarity of MMBPs of al…
The disease or the vaccination: Which is more important when deciding whether to vaccinate
The Importance of Social Norm on Adopting Sustainable Digital Fertilisation Methods
Precision farming systems promise a highly efficient resource use reducing cost for farmers and contributing to the preservation of the environment. A major obstacle, however, in such systems dissemination is the reluctant adoption by farmers. Prior work is suggesting that mainly knowledge or missing resources for investment are barriers, while social norms are rarely addressed for precision farming systems. We adopt the reasoned action approach …
Artificial intelligence in public services: When and why citizens accept its usage
Interest in implementing artificial intelligence (AI)–based software in the public sector is growing. First implementations and research in individual public services have already been carried out; however, a better understanding of citizens' acceptance of this technology is missing in the public sector, as insights from the private sector cannot be transferred directly. For this purpose, we conduct policy-capturing experiments to analyze AI's ac…
Artificial intelligence in public services: When and why citizens accept its usage
Interest in implementing artificial intelligence (AI)–based software in the public sector is growing. First implementations and research in individual public services have already been carried out; however, a better understanding of citizens' acceptance of this technology is missing in the public sector, as insights from the private sector cannot be transferred directly. For this purpose, we conduct policy-capturing experiments to analyze AI's ac…
Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings
Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is a promising technological option to provide helpful analyses for online business meetings, but might be perceived as scary as emotions are a sensitive topic. However, employees' acceptance of such a type of software is not understood properly yet as there are no …
The Importance of Social Norm on Adopting Sustainable Digital Fertilisation Methods
Precision farming systems promise a highly efficient resource use reducing cost for farmers and contributing to the preservation of the environment. A major obstacle, however, in such systems dissemination is the reluctant adoption by farmers. Prior work is suggesting that mainly knowledge or missing resources for investment are barriers, while social norms are rarely addressed for precision farming systems. We adopt the reasoned action approach …
Artificial intelligence in public services: When and why citizens accept its usage
Interest in implementing artificial intelligence (AI)–based software in the public sector is growing. First implementations and research in individual public services have already been carried out; however, a better understanding of citizens' acceptance of this technology is missing in the public sector, as insights from the private sector cannot be transferred directly. For this purpose, we conduct policy-capturing experiments to analyze AI's ac…
Measurement and performance impact of team mental models on process performance
Efficient business process execution is an essential part of an organisation’s success. It depends on good dynamic decision making of process actors that is guided by their mental models of business processes (MMBP). The study investigates the effect of MMBPs on process performance at two levels. At the level of individuals, the impact of MMBP accuracy on performance is analyzed, and at the level of a team, the effect of similarity of MMBPs of al…
The disease or the vaccination: Which is more important when deciding whether to vaccinate
Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings
Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is a promising technological option to provide helpful analyses for online business meetings, but might be perceived as scary as emotions are a sensitive topic. However, employees' acceptance of such a type of software is not understood properly yet as there are no …
Spillover effects in environmental behaviors: A scoping review about its antecedents, behaviors, and consequences
Research on environmental spillover, the phenomenon where engaging in one environmental behavior (EB) influences the likelihood of engaging in another EB, has expanded, introducing various theories and predictors to explain it. This study provides an overview and synthesis of the examined antecedents, behaviors, and consequences in environmental spillover research, while also identifying key gaps and shortcomings in the literature. Additionally, …
Physicians’ attitudes and perceived diagnostic confidence in point-of-care ultrasound in gynecology and obstetrics (GO-Pocus): A prospective single-center implementation study with structured training
Generative AI’s Impact on Individuals and Organizations: An Analysis Based on Human-AI Collaboration
Artificial intelligence has been rapidly increasing in sophistication and impact, reinforcing discussions of its extensive potential to disrupt individual practices and organizational designs. We consolidate data from the O*NET 2023 database on job roles to create a list of 85 corporate knowledge worker roles and associated skill levels. Next, together with five different genAI applications, we assess the 15 low skill level roles to identify whic…
Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art
Psychology (5 works) · Computer Science (4 works) · Knowledge management (4 works) · Social Psychology (4 works) · Business (3 works) · Applied Psychology (2 works) · Behavioral Health and Interventions (2 works) · Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Political science (2 works)