BizPsych Labs Research

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A Deep Learning Architecture for Psychometric Natural Language Processing

Ahmad, F., et al

This technical document is another development of data collection for increasing the accuracy of psychometric NLP using shorter texts with better defined demographic groups. NOTE: This text is very technical and is not available for free.

Validation of Two Short Personality Inventories Using Self-Descriptions in NLP and Quant. Semantics

Garcia, D., et al

This study demonstrates the ability of NLP to understand individual personality traits along both desired and not desired axes, showing a text assessment is capable of identifying probable patterns in a person's behavior based on their attributes. This provides a basis for creating composite attribute assessments such as resilience scores, and also shows the application of NLP as a means of filtering out self-selection bias.

PyNDA: Deep Learning for Psychometric Natural Language Processing

Li, J., et al

This joint university examination of refining NLP and Machine Learning to predict personality and behavior demonstrates several applications and techniques used to increase probability accuracy. It is a technical document used to refine system methods, showing that accurate assessments of personality and probable behaviors are possible with reduced word count.

A Deep Learning Architecture for Psychometric Natural Language Processing

Ahmad, F., et al

This technical document (note: full text not available for free) is another development of data collection for increasing the accuracy of psychometric NLP using shorter texts with better defined demographic groups.

Personality development through natural language

Lanning, K., et al

This research paper compares natural language assessments of personality with resulting behaviors to determine how each can be defined and possible applications to commercial fields. This establishes a repeatable study clarifying the accuracy of the root methods behind NLP and how those methods can be applied to understanding probable behaviors. NOTE: This paper is not available through free access

A Critical Review and Future Directions for Research: Personality and Social Entrepreneurial Success

Sahni, SP., Sharma, S., Aggarwal, S.

This meta-analysis of Big 5 traits within social entrepreneurs (creating businesses focused on societal welfare or justice) shows correlations towards openness and risk taking with success. There is a strong need for value alignment between the leadership team and the company goals. The psychoanalysis also highlights the link between personalities and probable behaviors which are more likely to lead to successful companies.

Does Personality Matter for Small Business Success?

Farrington, S.

This study shows there is evidence of big 5 personality traits having a role in small business success, particularly openness to experience traits which allow start-ups and small businesses to remain flexible, innovate, and pivot. It further defines the need for functional teams to remain small and allow for continued innovation even within a larger company model.

Role of Disruptive Innovation, Personality Characteristics, and Business Models on Entrepreneurial...

Shannon, W.

This paper is a meta-analysis of multiple highly successful companies known for defining or disrupting their markets, and the role personality plays in innovation and business success.

Project Success Prediction in Crowdfunding Environments

Li, Y., Rakesh, V., Reddy, C.

This research project examines crowdfunding and increasing probability of success, while defining the prediction of success would be misleading. It does not use personality, but shows application of other analysis and how proper knowledge of a combined set of information - to include team cohesion and structure - can increase the investor's ability to increase the probability of ventures reaching a variety of objectives

Predictions Vs. Probabilities

Geraci, N.

This article provides a layman's understanding of differentiating between prediction (which we do not do) and probability (which we do). Prediction is right or wrong - a yes or no approach to determining an outcome or behavior. Probability - and using technology to increase the chance of a desired outcome - is a much more accurate approach given the many factors that would have to contribute to a prediction.

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