How entrepreneurial actions transform customer capital through time
Bibliographic record
Abstract
Purpose Today, in small and medium‐sized enterprises (SMEs), entrepreneurs must take a more strategic perspective that is evidenced by the need to scan the enterprise to discover how they might improve customer relations as well as promote improved entrepreneurial actions. The paper aims to focus on this issue. Design/methodology/approach This study examines the impact of the existence of an “open‐minded context” in an organisation at time (T) on actions that concern the challenging of entrepreneurial actions at time (T+1). It also examines the relationship between explorative and exploitation processes and customer relations. These relationships are examined through an empirical investigation of data obtained from 107 SMEs from the Spanish telecommunications industry, using partial least squares (PLS). Findings The results indicate that the effects of an “open‐minded context” at time (T) on customer relations at time (T+1) are mediated through the existence of explorative and exploitation knowledge processes at time (T+1). Research limitations/implications Practices which may be based on explicit knowledge or on tacit knowledge in the form of processes and routines need to be challenged prior to the adoption of new knowledge by the organisation. In such situations, it will be necessary to modify or even delete some knowledge in order to ensure that employees have access to the up‐to‐date explorative and exploitative knowledge processes necessary to maintain or enhance customer relations. Practical implications In situations where organisations and their members face rapidly changing environments it is necessary to challenge the entrepreneurial actions which have been derived from the founding entrepreneurs. Originality/value The paper examines how the nature and existence of an open‐mindedness context is linked to the nature and existence of knowledge exploration and exploitation processes enacted by the workforce of an organisation.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".