The impact of family harmony on family SMEs' performance: the mediating role of information technologies
Bibliographic record
Abstract
Purpose With the increasing digitalization processes taking place in different industries, the success of family small and medium-sized enterprises (SMEs) appears to be more under threat than for any other types of organizations, especially when information technologies (ITs) are not adequately used and managed. To grow and increase the chances of survival, family SMEs need more than ever IT. Stemming from agency theory, the aim of this article is to understand whether family harmony impacts the performance of family SMEs and to what extent IT mediates this relationship. Design/methodology/approach The research follows a quantitative approach, based on a sample of 182 family SMEs. Structured equation modeling, through SmartPLS, was employed to validate the research model. Findings This study’s main findings suggest that family harmony positively impacts firm performance and that IT governance and strategy mediate positively this relationship. Research limitations/implications First, the relatively limited number of respondents limits the degree of representativeness of all family SMEs. Replicating the research with a larger number of respondents could strengthen the findings. Second, this study is limited to French firms and future research could extend the findings by looking at cross-country comparisons. Practical implications Family SMEs are encouraged to link their IT governance with their IT strategy in order to increase their organizational performance. A favorable family harmony will make it easier to choose and implement a richer IT strategy and put in place an adequate IT governance function. Originality/value This research offers an enriched knowledge of the roles of family harmony and technological innovation in family SMEs and IT contexts as significant predictors of organizational performance. It contributes to family firm theory through the identification of three determinants of family SMEs' performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".