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Integrating artificial intelligence (AI) into decision-making processes is key to improving organizational performance. However, trust in AI-based decision support systems (DSSs), similar to other information systems, is important for successful integration. A disruptive phenomenon, “algorithm aversion”, can impede AI trust and, thus, acceptance. Although AI recommendations outperform human recommendations in different decision-making fields, individuals underweight recommendations from AI-based DSSs compared to human decision-makers due to a lack of AI trust. We conducted a lab experiment to investigate the role of AI recommendations in workplace-related tasks, first focusing on the mediating effect of AI trust and the negative impact of algorithm aversion on decision-making performance and the moderating effect of technical competence. Second, we analyzed the ability of gamification to reduce this phenomenon. We provide evidence regarding how to enhance decision-making performance when AI recommendations are deployed and identify countermeasures against algorithm aversion to facilitate the adoption of AI-based DSSs.
Enterprise social media has been found to be a curse and a blessing at the same time. ESM has been reported to lead to unproductive ‘games of visibility’ and ‘exhibitionism’, while it has been also found to enable productive outcomes related to knowledge work and product innovation, the latter being the main reason for its wide-spread adoption. We argue that decisions to use ESM as a control instrument are not made in isolation, but as part of a set of complementary choices. We provide arguments and empirical evidence that the use of ESM as a control instrument in organizations complements the use of subjective evaluations of non-task related performance (SPE). We also show that firms that face high ESM employee concerns, have a stronger complementarity between ESM use and SPE. Additional analyses show that ESM use and performance-based pay (PBP) are also complements. Together the results imply that management control system configuration changes with the employment of ESM.
This article examines sentiment of 12,821 reports on cyber-attacks on firms around the world from 2011 to mid-year 2019. With theworld wide web (www) and associated technologies connecting opinions worldwide, sentiment in the world wide web is an importantperspective to understanding developments in cyber-attacks and the public opinion thereof, because much of the public debate isshared online. Such sentiment can potentially explain developments in regulation and may be indirectly associated with the buildingof defense mechanisms of cyber-victims. Results show that the quantity of reports on cyber-attacks on firms has been increasing,but the sentiment of reports on cyber-attacks has been decreasing. Both trends reflect the increasing severity of the issue and arelikely contributing to regulatory responses. Results also show that the sentiment is conditional to the source that reports the cyber-attack.