Inspired by the goal of making marketplaces more inclusive, this research provides a deeper understanding of consumer vul- nerability dynamics to develop strategies that help reduce these vulnerabilities. The proposed framework, first, conceptualizes vulnerability states as a function of the breadth and depth of consumers’ vulnerability; then, it sketches a set of vulnerability indicators that illustrate vulnerability breadth and depth. Second, because the breadth and depth of vulnerability vary over time, the framework goes beyond vulnerability states to identify distinct vulnerability-increasing and vulnerability-decreasing pathways, which describe how consumers move between vulnerability states. In a final step, the framework proposes that organizations can (and should) support consumers to mitigate vulnerability by helping consumers build resilience (e.g., via distinct types of resilience-fueling consumer agency). This framework offers novel conceptual insights into consumer vul- nerability dynamics as well as resilience and provides avenues for future research on how organizations can better partner with consumers who experience vulnerabilities.
In cobotic service teams, employees and robots collaborate to serve customers. As cobotic teams become more prevalent, a key question arises: How do consumers respond to cobotic teams, as a function of the roles shared by employees and robots (robots in superordinate roles as team leaders and humans in subordinate roles as assistants, or vice versa)? Six studies, conducted in different healthcare settings, show that consumers respond less favorably to robot-led (vs. human-led) teams. In delineating the process underlying these responses, the authors demonstrate that consumers ascribe less power to robot (vs. human) team leaders, which increases consumer anxiety and drives downstream responses through serial mediation. Further examining the power dynamics in cobotic service encounters, the authors identify boundary conditions that help mitigate negative consumer responses (increasing consumers’ power by letting them choose the robot in the service team, leveraging consumers’ power distance beliefs, and reinforcing the robot’s performance capabilities).
