Related Experiment Video
Updated: Sep 10, 2025

05:21
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
Published on: January 7, 2019
8.0K
How Does AI Trust Foster Innovative Performance Under Paternalistic Leadership? The Roles of AI Crafting and Leader's
Qichao Zhang1, Feiwen Wang1, Ganli Liao1
1Business School, Beijing Information Science and Technology University, Beijing 102206, China.
Behavioral Sciences (Basel, Switzerland)
|August 28, 2025
Summary
Leadership significantly impacts employee innovation in AI-driven workplaces. Paternalistic leadership and employee AI trust foster innovation through AI crafting, especially when leaders perceive high AI opportunities.
Area of Science:
- Organizational Behavior
- Artificial Intelligence
- Innovation Management
Background:
- Artificial intelligence (AI) integration in organizations necessitates understanding leadership's role in employee adoption and innovation.
- Trait Activation Theory provides a framework for examining how individual traits and situational factors influence behavior in AI contexts.
- Existing research lacks clarity on the specific leadership styles and cognitive factors that promote employee innovation in AI-intensive environments.
Purpose of the Study:
- To develop and test a theoretical model examining the influence of leadership on employee responses to AI, specifically focusing on innovative performance.
- To investigate the mediating role of AI crafting and the moderating effects of paternalistic leadership and leader AI opportunity perception.
- To extend Trait Activation Theory to AI-enabled workplaces and provide practical leadership development insights.
Main Methods:
- A three-wave survey research design was employed.
- Data were collected from 523 employees across 14 AI-intensive manufacturing firms in China.
- Statistical analyses were used to test the proposed theoretical model, including mediation and moderation effects.
Main Results:
- Employee AI trust positively influences innovative performance through AI crafting.
- Paternalistic leadership moderates the relationship between AI trust and AI crafting/innovative performance.
- Leader's AI opportunity perception further moderates this relationship, amplifying the positive effects when perception is high.
Conclusions:
- AI trust, paternalistic leadership, and leader AI opportunity perception collectively foster employee innovative performance in AI-intensive settings.
- AI crafting serves as a key mechanism through which leadership influences innovation.
- Findings offer practical guidance for leadership development aimed at maximizing innovation in the era of AI.
Related Concept Videos
Non-equilibrium in the Cell
4.8K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.8K
Decision Making: Traditional Method
4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Decision Making
228
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
228
Empathy
9.7K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor.
9.7K
Lazarus's Cognitive Appraisal Theory
506
Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
Primary Appraisal:...
Primary Appraisal:...
506
Attribution Theory
13.4K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.4K

