Mental models can affect people’s actions and have the capacity to affect how people achieve organizational outcomes. An ethnographic complexity-based inquiry into the mental models of staff and management about work practices was undertaken within a not-for-profit organization. Interviews were conducted to uncover the mental models held by management and staff about actual work practices and ideal work practices. A comparison of the individual mental models revealed that individuals in the organization were in a state of chaotic edge thinking, where everything is perceived as a threat, procedures are formed to control, and people are reacting radically. This was a result of the miscommunication between members of the organization and an environment characterized by a negative phrase space. It is suggested that the identification of individual mental models about work practices is beneficial for knowing how a person’s actions are influenced, and in this case, why work practices failed.
Citizen trust and distrust perceptions have become an increasingly controversial problem in recent election turmoil regarding changes in governance. Key to this trust and distrust problem is that the physical perception process in the human brain is still not well understood. The ongoing trust and distrust debate in organizational literature was researched seeking a resolution. The framework of this debate argues whether trust and distrust are separate dimensions or merely opposite ends of a single continuum. Because the human perception neural binding process is so little understood, the debate has remained in the argument stage of how trust and distrust should be defined. This led the research exploration to examine the Artificial Intelligence (AI) community’s development of computers that mimic cognitive functions of humans. AI includes a multi-sensory data gathering and binding architecture that mimics the human neural multi-sensory data gathering and binding neural signals for people to perceive a conscious awareness of the world around them. This sensory fusion architecture was used in the exploration research to create a map to match the human neural multi-sensory binding phases. The AI computer developers used fMRI research to test the credibility of their system with human participants. They identified that trust and distrust each activate separate correlative sections of the brain. This paper proceeds to examines how the perceptions of trust and distrust are used by people to develop their organization of self-governance of their social behavior, as individuals, as social groups, and as citizens’ especially the self-governance of their political governments. However, when both trust and distrust perceptions are at extreme force, they can become fused into one. The results come often at the expense of most of the people involved, as described in the Polybius’ Cycle Governments.
This paper contextualises the alignment of the wicked problem of using drones as a form of leisure. The fast evolving spaces of drones and their different uses, from military, to logistics, to leisure create many intertwining structures within a larger ecosystem. This research offers new perspectives by considering the role of the media in assisting with alignment to try to tame the wicked problem associated with a drone ecosystem, the use of drones for leisurely activities. Guided by the principles of the Agenda Setting Theory (AST), the paper elucidates the way drone contents are presented across different media channels; how key themes emerge from the narratives within different media channels; and how (non)convergence of media contents relates to alignment of drone governance.