The Mediating Effect of Innovation Capabilities, Information Quality and Supply Chain Resilience in the Relationship Between Big Data Analytics Capability (BDAC) and Healthcare Performance
Datos Bibliográficos
| ID | 16913832 |
|---|---|
| Autores | Mohammad Rakibul Islam Bhuiyan (0000-0003-4284-6461, Begum Rokeya University), Most Sadia Akter (0009-0000-5018-0968, University of Dhaka, autor de correspondencia), Al-Amin Al-Amin (0009-0001-1464-9631, University of Dhaka), Rashed Hossain (0009-0000-5000-3996, University of Dhaka) |
| Año | 2025 |
| Volumen | 15 |
| Número | 3 |
| Fecha de publicación | 2025-01-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | SAGE Open (JOURNAL) |
| Identificadores de la revista | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Editorial | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440251362262 |
| OpenAlex | W4413634165 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 87 |
The article conducted by organizational information processing (OIP) theory and dynamic capabilities theories to analyze how big data analytics capabilities affect healthcare performance in developing countries. In the healthcare performance conceptual framework, supply chain resilience, information quality, and innovative capabilities mediate. This quantitative study surveys 415 healthcare establishments with questionnaires. These 336 respondents actively contributed important input. In Smartpls 4.0, partial least squares are utilized to analyze data that supports hypotheses after checking the normality test of the data. The study results indicate that healthcare organizations would benefit from allocating resources toward the development of big data analytics capacity. The study findings indicate that IQ, IC and SCR have a complementary and moderating role in the association between BDAC and FP. The empirical data support all constructs and expected relationships, confirming previous research. Experimental data suggesting BDA improves healthcare performance are crucial to the existing literature. With the PLS-SEM approach utilized in this work, several of the aforementioned ideas may be theoretically flawed. This study provides a theoretical framework for studying how BDA skills affect SCR, IC, and IQ to improve organizational performance in poor countries. This study may elevate healthcare management’s knowledge of BDAC’s ability to improve performance
Analytics · Big data · Business · Data mining · Data science · Economics · Health care · Knowledge management · Process management · Psychological resilience · Supply chain · Big Data and Business Intelligence · Computer Science · Data Quality and Management · Organizational and Employee Performance · Psychology · Social Psychology · Marketing
Dynamic capabilities
How to improve firm performance using big data analytics capability and business strategy alignment?
Big data analytics
Big data and predictive analytics for supply chain and organizational performance
Sustainable supply chain management and the transition towards a circular economy
Measuring Organizational Performance
Exploring the relationship between big data analytics capability and competitive performance
Organizational impact of system quality, information quality, and service quality
Relationship between innovation capability, innovation type, and firm performance
Digital technology and Covid-19
A Contingent Resource‐Based Perspective of Supply Chain Resilience and Robustness
Common method biases in behavioral research
When to use and how to report the results of PLS-SEM
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Common Method Bias in PLS-SEM
Industry Readiness and Adaptation of Fourth Industrial Revolution
The role of big data analytics capabilities in bolstering supply chain resilience and firm performance
Information technology competency and organizational agility
The Relative Trustworthiness of Inferential Tests of the Indirect Effect in Statistical Mediation Analysis
Survey Research
Should Sustainability and Resilience Be Combined or Remain Distinct Pursuits
| Citas por año | 3 |
|---|---|
| Intervalo de citas | 2026 - 2026 (1) |
| Altamente citado | No |