Examining Factors that Influence Organizational Commitment in Volunteer Leaders of Non-profit Islamic Organizations Across Urban Alberta
Bibliographic record
Abstract
Ongoing resource challenges in the Canadian nonprofit sector and a national decline in volunteer rates and hours necessitates a deeper understanding of factors influencing organizational commitment in volunteer leaders. However, research on volunteer leaders in organizations mostly powered by volunteers and nonprofit Islamic organizations are scarce. The purpose of this mixed-methods cross-sectional study is to provide evidence on factors that influence organizational commitment amongst volunteer leaders in nonprofit Islamic organizations across urban Alberta. Survey data collected from 216 active adult volunteer leaders was used to examine the relationship between intrinsic motivation, position satisfaction, role clarity (explanatory variables), and organizational commitment. Then, data from 36 semi-structured interviews was subjected to applied thematic analysis to provide deeper explanations of the findings plus highlight unique cases and cultural nuances. Results of a hierarchical regression analysis indicate that the explanatory variables account for 40% of the change in organizational commitment. Interview data reveals the paramount importance of feeling a sense of autonomy, competence, and relatedness (the components of intrinsic motivation). Whereas factors that decreased intrinsic motivation included perceived feelings of control (i.e. micromanagement), a sense of failure due to destructive criticism, and feelings of rejection resulting from condescending behaviours of others. Despite periods of dissatisfaction, participants repeatedly identified the salient role religious beliefs had on their reasons to volunteer and/or willingness to keep serving amidst added stressors. Themes included the importance of, serving for the sake of God (sincerity or ikhlas), fulfilling one’s obligations as a leader (amanah), perseverance in the face of stressors (sabr), demonstrating gratitude (shukr), and mutual consultation (shura). Practice and policy-making recommendations involve integrating Islamic values and practices into existing evidence-based volunteer human resource management strategies to increase the likelihood for uptake. Research recommendations include construct development of Islamic values to be developed into scales and/or interventions (e.g. psycho-spiritual first aid). Given the intersection between the dearth of research, inter/intrapersonal dynamics, and diversity amongst volunteer leaders across Canada, utilizing a localized and culturally adapted strategic planning framework for knowledge mobilization can be promising; especially for organizations heavily reliant on volunteers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".