Indigenous Rural Entrepreneurialism and Social Venturing Within Native Alaskan and Canadian Aboriginal Communities: An Empirical Analysis of Critical Success Factors and Socio-Economic Benefits of Alaska Native Corporations
Bibliographic record
Abstract
This research examines the correlation between Alaskan Native Corporations’ corporate social responsibility investment strategies and their impact on effectively creating entrepreneurial opportunities for Alaskan Native communities. Our analysis begins by examining factors affecting the alignment of Alaska Native Corporation values with indigenous cultural values (Anders & Anders, 1987). It then builds off further from previous research into social entrepreneurship and indigenous people (Curry, Donker, & Michel, 2016). We reviewed existing literature addressing connections between indigenous culture and entrepreneurial opportunities (Bardy, Drew, & Kennedy, 2011) and then adapted Donker, et. al.’s (2008) research model for assessing the relationship between corporate values and firm performance to establish a method for data collection and analysis. We hypothesize that there is a significantly positive and strong correlation between economic community development and corporate financial performance when Alaska Native cultural values are integrated into Alaska Native Corporations, when gender diversity is promoted in leadership roles within the corporations and within entrepreneurial businesses within Alaska Native communities, and when serious reasonable efforts are made to promote social well-being, economic, and educational development. In our assessment of cultural values and their impact on firm performance in Alaska Native Corporations, we used H. Donker, et. al.’s (2008) research model for assessing the relationship between corporate values and firm performance to provide a method for data collection and analysis. We also examined publicly available data regarding socio-economic factors to gauge labor participation including unemployment rates, high school Indigenous Rural Entrepreneurialism and Social Venturing in Alaska graduation rates, and student performance. This data was correlated with Alaska Native Corporation community investment programs to evaluate connections and test our hypothesis. We examined the gender diversity of Alaska Native Corporations Board of Directors to identify any impacts on firm performance, specifically how the gender diversity of corporate executive boards impacts investments in communities. Our data sample focused on the twelve regional Alaska Native Corporations, their respective non-profit foundations, and their affiliated communities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".