Roles of top management support and compatibility in big data predictive analytics for supply chain collaboration and supply chain performance
Bibliographic Data
| ID | 21404072 |
|---|---|
| Authors | Muhammad Nauman Shafique (0000-0003-3542-675X, Multimedia University), Muhammad Noman Shafique, Sook Fern Yeo (0000-0002-8060-5872, Multimedia University, corresponding author), Cheng Ling Tan (0000-0002-3759-6763, Universiti Sains Malaysia) |
| Year | 2024 |
| Volume | 199 |
| Pages | 123074 |
| Publication date | 2024-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2023.123074 |
| OpenAlex | W4389462690 |
| Language | EN |
| Citations received | 7 |
| References cited | 68 |
Analytics · Big data · Business · Compatibility (geochemistry) · Data mining · Data science · Empirical evidence · Empirical research · Knowledge management · Predictive analytics · Process management · Structural equation modeling · Supply chain · Supply chain management · Big Data and Business Intelligence · Computer Science · Economic and Technological Systems Analysis · Engineering · Marketing · Supply Chain Resilience and Risk Management
Bridging Readiness and Action
Savior or saboteur? Big data and company employees innovative behavior
Enhancing organizational resilience through big data analytics capability
The impact of healthcare 4.0 technologies on healthcare supply chain performance
An understanding of sustainable transformational leadership and innovation ambidexterity
Unveiling the Impact of Big Data and Predictive Analytics Adoption on Sustainable Supply Chain Management
Drivers of metaverse adoption for enhancing marketing capabilities of retail SMEs
Statistical Power Analysis for the Behavioral Sciences
Latent Variable Path Modeling with Partial Least Squares
Strategic Sensemaking and Organizational Performance
Goodness-of-fit indices for partial least squares path modeling
Can big data and predictive analytics improve social and environmental sustainability?
Big data and predictive analytics for supply chain and organizational performance
Cross-Validatory Choice and Assessment of Statistical Predictions
Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices
Innovation characteristics and innovation adoption-implementation
Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism
Organization Design
Confirmation of a measurement model for green supply chain management practices implementation
A predictive approach to the random effect model
Two Structural Equation Models
PLS-Sem
Fit indices in covariance structure modeling
A new criterion for assessing discriminant validity in variance-based structural equation modeling
When to use and how to report the results of PLS-SEM
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance
Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities
Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility
Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0
Revisiting Green Supply Chain Management Practices
| Citations per year | 3.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |