Predicting Business Performance by Personal Moral Values through Social Network Based E-Mail Analysis
OwnerPeter A. Gloorinventor
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OwnerPeter A. Gloorinventor
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The present invention discloses an advance study, with aim to investigate how organizations can effectively manage individual and team ethical behaviors—exemplified by bees and ants—while avoiding unethical ones—as exemplified by leeches. To this purpose, the impact of behavioral and emotional traits on group performance are measured, with a focus on the role of ethical behaviors in determining real-world success. Based on three different contexts, the findings indicate that exhibiting moral values, being fair, being open to others and new things, and caring for others, correlate positively or negatively with success depending on the tasks. This study also contributes to the theories and practice of ethical decision-making by proposing the adoption of a new methodology based on computational social science that links ethical behaviors with business outcomes. The limited sample of individuals represents the main limitation of the study. Future studies should consider larger datasets and incorporate additional control variables, such as age, gender, or tenure within the organization, which we could not consider in this study due to privacy agreements.
The analysis of variance across the three datasets are:
The ants, bees and leeches are different in nature wherein:
A certain mix of bees/ants/leeches predicts business performance of the organizations where they work wherein:
The novel way of computing being a bee, ant, or leech by the words and social network metrics computed from their email and social media posts wherein;
The system in this era of big data, aggregates the ethical understanding of large groups of people through machine learning and will assist in recognizing and rewarding the ethical courage of today's “Anton Schmid's” without a fifty-year delay.
Dependencies are inferred from the claim text.