May 3, 2021
An entrepreneur’s judgment is perhaps the most important asset that a start-up company has. As important as entrepreneurial judgment is, it is a difficult characteristic for others to discern and to evaluate. The purpose of this research project is to bring greater insight and clarity to the process of evaluating the judgment capacities of entrepreneurs during this critical stage of the founding of their companies.
This project applies the theory of formal axiology as a lens for studying entrepreneurial judgment and decision-making by analyzing how entrepreneurs receive and respond to feedback. An assessment tool known as the Hartman Value Profile (HVP) provides a way to measure the multi-faceted nature of judgment axiologically. Analysis of participants’ HVP scores suggests that HVP scores are capable of revealing meaningful insights for investors, entrepreneurs, and academics. Many of the findings relate to self awareness, with entrepreneurs being more likely to reflect upon feedback rather than deflect it.
May 4, 2020
To prosper in the Industry 4.0 ecosystem, individuals and organizations will be required to develop 21st century skill sets. This research seeks to identify emerging trends, pinpoint challenges and gain data-driven insights into the forces shaping the technical talent pipeline of Industry 4.0 in the United States. To successfully navigate the Industry 4.0 environment (and beyond), organizations will need to integrate four different generations (soon to be five) in their workforce. Next-Generation Leaders were found to be lacking in creativity and innovation and conceptual thinking, critical skills required in navigating an Industry 4.0 environment. This should serve as a wake-up call to educators tasked with overhauling an antiquated system, particularly at the graduate level. Based on responses to a series of questions using the TTI TriMetrix DNA assessment suite a data-driven, validated assessment instrument, this research presents an overview of the development of 25 professional competencies that contribute to superior performance.
May 4, 2020
Effective interdisciplinary research (IR) teams require skills of collaboration, sharing, and abilities to integrate knowledge from diverse disciplines. Pre-post data was collected using three learning modules designed to support the development of collaboration and teamwork skills in the context of IR. Results showed (1) participants learned and practiced essential collaborative skills in authentic contexts; (2) training modules were valued and helped participants recognize the important role that personal dispositional characteristics have on IR teams; (3) participants’ confidence in adapting to differences among team members increased; and (4) participants recognized that effective collaboration requires intentionality. This paper also introduces the concept of dispositional distancing.
Feb 28, 2020
In this report, we integrate the principles described in Part 1 and describe an operational model for emotional decision-making that incorporates brain activation data along with subjective experience correlates. This model takes the form of a state machine that carries out transitions between a finite set of 16 possible states of emotional and decision-making response. By considering a 4×4 grid of possible states based upon left and right activation, in primary (sensation) and secondary (perception/comprehension) response, the range of responses is completely specified. The transition probabilities within this repertoire of possible response states can be used to characterize an individual (or any system) in terms of its likelihood to respond in a particular fashion. The possible value of this model in psychiatry, psychology, and counseling is introduced and discussed.
Feb 28, 2020
In Part 1 of this paper, we describe an approach and methodology that bridges two worlds: the internal, subjective experience of emotions and thoughts, and the external world of brain electrical activity. Using a novel event-related brain activation imaging method, we demonstrate that within single trials, short-term mental processes, on the order of 100 msec, can be clearly related to observed brain activation in controlled experiments. We use an ipsative assessment validation process that combines self-report with real-time EEG recordings to provide a combined picture of both the mental and the brain activity, during short-term reactions, emotions, and decisions regarding controlled information. Part 2 provides a detailed description of the emerging emotional decision-making model.
