Planning practices, strategy types and firm performance in the Arabian Gulf region
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate planning practices, strategy types, and the performance of indigenous firms in Bahrain and United Arab Emirates (UAE). Design/methodology/approach Data are collected from cheif executive officers (CEOs) and top management of 95 local companies sampled from Chamber of Commerce and Industry databases in Bahrain and UAE using face‐to‐face interviews. Analysis of variance and univariate logistic regression are employed in analyzing the data. Findings Although most of the firms are long‐term planners, many of them do not have a planning process. Majority of the firms are Prospectors and Analyzers. Prospectors perform considerably better than all the other strategy types. Nevertheless, the firms that are included in this paper appear to be cautious and not aggressive in entering new markets or in taking the lead in introducing and marketing new products. Research limitations/implications The paper suffers from selection bias by focusing on indigenous‐owned companies. Also, the data originate from self‐reported responses from business leaders and executives. The results do not establish causality. Finally, only broad demographic links are considered. Other individual and firm variables may influence performance in different ways than indicated here. Practical implications Managers must pay heed to the usefulness of planning and ensure that their companies have a planning process in place. Given the performance of Prospectors, managers must adopt some prospector strategies. Experience and high level of education as essential ingredients to successful planning and performance require management consideration. Originality/value The paper provides empirical support for Miles and Snow typology and corroborates the existing understanding that planning is beneficial to firms from an under‐researched part of the world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 it