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Development of a Comprehensive Model for Re-Designing the Organi-zational Structure Based on Business Intelligence
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| Fredrick Olensu, Katib Osman *1 |
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Abstract: (29 Views) |
This research was carried out with the aim of providing a comprehensive model for redesigning the organizational structure that fulfills the requirements of activity in the era of the fourth industrial revolution with the approach of developing smart business. The research was of a sequential mixed type of quantitative and qualitative type. In the quantitative part, which was conducted using a descriptive survey method, in the first stage, organization pathology and organizational design models were examined and identified through a systematic review of the research literature, and Burton's multi-contingency model, which simultaneously includes pathology and organization design, was selected. In the second stage, the researcher developed a questionnaire based on different editions of Burton's multi-contingency model. Finally, a 90-item questionnaire was developed to measure 14 dimensions and 28 components, which was arranged in the form of a Likert scale and distributed among 263 managers and experts of Steel Company, who were selected by stratified random method. In qualitative section, with the purposeful sampling technique dependent on the criterion among 30 academic and steel industry experts related to the subject, the most important dimensions of the organizational structure (using the fuzzy Delphi method and in two rounds) and the components of business intelligence (using the fuzzy Delphi method) and during three rounds) were determined. The findings showed that the most effective components of business intelligence include commercial intelligence, artificial intelligence, strategic intelligence, and competitive intelligence, which can provide suitable platforms and facilitators to achieve a suitable and intelligent organizational structure. |
Article number: 5 |
| Keywords: Structure de-sign Smart busi-ness Burton's multi-contingent model |
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Full-Text [PDF 1172 kb]
(23 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2022/10/15 | Accepted: 2022/11/11 | Published: 2022/12/20
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