What underlying patterns drive employees and users to commit different types of digital and workplace misconduct?

Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I'm Anna Ivy Summers.

Expert: And I'm Alex Ian Sutherland.

Host: Today, we are discussing a study titled "Technology-Related Misconduct: A Review and Explanatory Pathway Model," authored by Florian Wintmölle and presented at the International Conference on Information Systems in 2026. This study examines how digital technologies become entangled in various forms of wrongful behavior, from security policy violations and cyberloafing to online harassment and algorithmic bias.

Expert: That is right, Anna. When organizations encounter these problems, they often treat each incident as a distinct issue with its own isolated label, such as insider threat, social media deviance, or shadow IT. The author points out that this fragmentation in prior research has made it difficult for managers and scholars to see the shared underlying drivers behind these actions.

Host: So what approach did the study take to connect these seemingly separate behaviors?

Expert: The study conducted a systematic review of forty-two empirical studies published across premier information systems journals. Instead of grouping studies merely by their surface behavior, the author extracted one hundred and forty-six explanatory routes. Each route charts how specific starting conditions translate into misconduct through underlying cognitive, emotional, or social mechanisms.

Host: And what did that synthesis reveal about the core drivers of digital misconduct?

Expert: The analysis showed that these diverse behaviors actually converge into six recurring explanatory pathways. The most common is the instrumental–opportunistic pathway, accounting for roughly thirty-one percent of the analyzed routes. Here, individuals commit misconduct simply because they see it as a workable, practical shortcut to achieve a goal or reduce effort.

Host: What were the other pathways identified in the study?

Expert: The second largest is the control–deterrence pathway, representing around twenty-eight percent of routes, where misconduct occurs when formal sanctions or monitoring lack credibility. Then there is the social–participatory pathway at twenty percent, seen in coordinated online harms or cyberbullying where group dynamics and anonymity diffuse accountability. Grievance–retaliation accounts for nearly eleven percent, where employees push back against perceived unfairness or restrictive policies. Finally, strain–coping accounts for about seven percent, driven by technological overload and depletion, while the authority–deference pathway represents three percent, where individuals unthinkingly adopt biased algorithmic outputs without critical scrutiny.

Host: It is striking how technology itself changes the dynamics across all six pathways.

Expert: Exactly. The study highlights that technology plays three consistent roles: it alters the viability of an action by making it easier to execute or conceal; it reconfigures accountability by allowing actors to morally disengage, diffuse blame, or displace responsibility onto automated systems; and it provides the practical interface for enactment.

Host: The study also notes some clear limitations in the current evidence base, doesn't it?

Expert: Yes. Over seventy percent of the reviewed studies focused strictly on organizational workplace settings, and more than eighty percent relied on cross-sectional survey or scenario data. Furthermore, three-quarters measured intentions or self-reported behavior rather than direct observation or system log data. So there is still limited field evidence tracking actual enactment over time.

Host: For business leaders and IT practitioners, what are the primary takeaways?

Expert: The practical lesson is that applying blanket compliance policies or stricter penalties does not fit every situation. If employees bypass controls due to system strain or to maintain productivity, tighter deterrence might only increase burnout or provoke retaliatory pushback. Similarly, as organizations deploy artificial intelligence and decision-support systems, managers need explicit verification steps to counteract the authority–deference tendency, ensuring employees do not simply defer to algorithmic recommendations without active oversight.

Host: Addressing the underlying explanatory pathway, whether it is cognitive depletion, perceived grievance, or unchecked algorithmic deference, seems far more actionable than merely reacting to the surface behavior.

Expert: Precisely. Recognizing which pathway is active allows organizations to design more targeted governance, technical constraints, and workflow adjustments.

Host: Thank you for breaking down this research, Alex, and thank you to our listeners for tuning in to A.I.S. Insights — powered by Living Knowledge. Join us next time for more practical analysis of current information systems research.