How business intelligence capability impacts decision-making speed, comprehensiveness, and firm performance
Bibliographic Data
| ID | 21500840 |
|---|---|
| Authors | Amro Alzghoul (0000-0002-9799-7198, Amman Arab University), Amineh A Khaddam (0000-0003-3580-2495, Amman Arab University, corresponding author), Fayrouz Abousweilem (0000-0001-5452-8343, Business School of Al-Ahliyya Amman University, Jordan), Hani J Irtaimeh (Faculty of Business and Finance, World Islamic and Science University (WISE), Amman, Jordan), Qasem Alshaar (Faculty of Business and Finance, World Islamic and Science University (WISE), Amman, Jordan) |
| Year | 2024 |
| Volume | 40 |
| Issue | 2 |
| Pages | 220-233 |
| Publication date | 2024-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669221108438 |
| OpenAlex | W4283076195 |
| Language | EN |
| Citations received | 3 |
| References cited | 73 |
Scholars and practitioners have trumpeted business intelligence (BI) capability as a game-changer due to its significant impact on firm performance. Despite these claims, the amplifying and underlying mechanisms governing the relationship between BI capability and organizational performance are still in their infancy. This research examines the nexus between BI capability, decision-making speed, comprehensiveness, and organizational performance. This study, drawing on knowledge-based theory, proposes a conceptual model to explain how BI capability influences organizational performance through decision-making speed and comprehensiveness and the moderating role of firm size. The proposed moderated-mediated model was tested using survey data from 236 respondents occupying leadership positions in various Jordanian industries. Partial least squares structural equation modeling (PLS-SEM) was used to diagnose the proposed model. BI capability indirectly affects firm performance through decision-making speed and comprehensiveness. These mediating effects do not vary by company size. This paper contributed theoretically and practically to the BI framework considering decision-making, firm performance, and firm size. Implications for theory-building and practice are described
Business · Business Intelligence · Conceptual model · Knowledge management · Organizational performance · Structural equation modeling · Big Data and Business Intelligence · Competitive and Knowledge Intelligence · Computer Science · Intellectual Capital and Performance Analysis · Marketing
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| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |