This research investigates how AI characteristics (autonomy, interactivity, ambidexterity, and techno-bias) influence decision-making in AI-powered hiring systems, with resource allocation as a moderator. Grounded in the next-generation PCI framework and resource-based view, the study analyzes e-survey data from 176 professionals. Findings show that autonomy, interactivity, and ambidexterity positively relate to decision-making, while techno-bias exhibits an inverted U-shaped relationship: Moderate levels enhance decisions, whereas very low or excessive levels impair them. Resource allocation significantly moderates several of these relationships. This research introduces techno-bias as an inherent AI characteristic arising from embedded human biases, demonstrates that moderate bias can be functionally tolerable, and provides a preliminary graph to calibrate ideal levels of bias for optimal decision-making rather than merely mitigate or eradicate it.
This study aims to improve our understanding of the psychological factors that influence leader decision-making performance in collaborative crisis response settings. Path analysis was used to examine the relationships between self-efficacy, group affiliation, risk acceptance, collaboration, assertiveness, resource mobilization, and perceived decision-making hardness (DMH), and their impact on decision-making performance among leaders from the Norwegian police, military, and fire/rescue services. Data were collected using a virtual headquarters exercise, which provided a controlled and realistic environment for leaders to respond to a simulated crisis scenario. Our key findings indicate that: 1) Self-efficacy enhances collaboration and reduces perceived decision-making difficulty, leading to improved decision-making performance through better teamwork. 2) Risk acceptance positively influences collaboration and decision-making performance. This research contributes to the literature on leadership in crisis management by highlighting the psychological mechanisms that underpin leaders’ decision-making performance.
The study aims to assess the impact of the robotic process automation (RPA) used in monitoring power grid on the profitability of distribution system operators (DSOs). The empirical study used statistical analysis of financial data of 408 DSO from 11 EU member states based on descriptive and inferential statistics tools and static panel models. The research period is 2011–2018. The study demonstrated that the use of RPA in power grid monitoring has a positive impact on DSO profitability. The research also indicates that the launch of automatic network monitoring results in reporting higher indicators of disruptions occurring, possibly due to the greater sensitivity and accuracy of the devices and procedures used. However, the size of these indicators does not have a statistically significant impact on DSO profitability. The study confirms the economic benefits resulting from the use of RPA in power grid monitoring, both for DSO and energy consumers. However, DSOs implementing RPA must reckon with a temporary drop in profitability soon after the launch of the devices. In the longer term, this profitability grows faster than in the case of DSO without RPA. The main limitations of the study are as follows: (i) the use of SAIDI and the RPA variable specific to a given country, not a single DSO, due to limited access to data, (ii) time limitation of the analysis to the early years of RPA implementation in EU, and (iii) lack of a strict correlation of the researched economic categories with the technical solutions.
The study aims to investigate the determinants of mysterious consumption. The research examines political ideology and social exclusion as two determinants of mysterious consumption among consumers in the Republic of Georgia. Political ideology was divided into individuals with conservative and liberal values, and social exclusion was measured in implicit and dominant dimensions. Four experiments were organized to test the hypothesized relationships. The results indicated that liberals tend to select mysterious items when the choices are horizontally differentiated. The findings also determined that liberals select mysterious items when the options are vertically and qualitatively differentiated. However, the impact of political ideology on mysterious items when the selection is vertically and quantitatively differentiated was insignificant. Moreover, the last two studies revealed that social exclusion positively affects mysterious consumption. The results confirmed that implicitly excluded consumers select mysterious items when the choices are horizontally, qualitatively vertically, and quantitatively vertically differentiated. The study adds to the current body of literature by examining the factors elevating mysterious consumption. The findings also provide practical implications for marketers and retailers in organizing their marketing communications and events to appeal to the target market more effectively.
Managing our natural resources often involves learning about the dynamics of the resource while society simultaneously harvests from the resource. However, little is known about how society’s actions affect our ability to learn about a vulnerable resource. Here, we investigate how experience managing a shared resource impacts one’s ability to learn about the underlying dynamics of a resource. We hypothesised that participants' capacity to learn from experience would depend on the behaviour of other group members. 320 participants played a four-player resource management game with computer partners who acted sustainably, unsustainably, or conditionally cooperatively. Participants’ ability to learn the underlying resource dynamics was then assessed in a subsequent single-player resource management game, where the social dynamics were removed and the participants’ understanding of the resource could be evaluated in isolation. Compared to controls with no prior experience, performance on the single-player game improved after experience with sustainable and unsustainable partners, but not after experience with conditionally cooperative partners. However, experience with a single-player game (rather than a group game) outperformed all other experimental conditions; thus individual experience improved performance more than experience in any group dynamic tested. These findings suggest that the presence of others generally hinders learning in resource management contexts, though how much this learning is hindered depends on the behaviour of others.
