Shahriar Akter
Biographic Data
| ID | 6465371 |
|---|---|
| NAME | Shahriar Akter |
| GIVEN NAMES | Shahriar |
| FAMILY NAME | Akter |
| SIGNATURE | AKTER S |
| AFFILIATIONS | University of Wollongong |
| ORCID | 0000-0002-2050-9985 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities
A new form of human-machine collaborative capabilities has been called to complement traditional capabilities to ensure higher but more responsible performance in artificial intelligence (AI)-driven organizational environments. Dynamic Managerial Capabilities (DMC) allow organizations to use their resources to neutralize threats and harness opportunities in competitive environments. Using DMC as our theoretical framework, we conducted 20 semi-str…
Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations
How data-driven innovation capability is shaping the future of market agility and competitive performance
Reshaping competitive advantages with analytics capabilities in service systems
Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality
The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modelling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial least squares (PLS) approach to SEM (PLS-SEM) in estimating a complex model drawing on the philosophy …
Big data and predictive analytics for supply chain and organizational performance
How to improve firm performance using big data analytics capability and business strategy alignment?
How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study
No prominent works on this page.
How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study
How to improve firm performance using big data analytics capability and business strategy alignment?
Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality
The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modelling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial least squares (PLS) approach to SEM (PLS-SEM) in estimating a complex model drawing on the philosophy …
Big data and predictive analytics for supply chain and organizational performance
Reshaping competitive advantages with analytics capabilities in service systems
How data-driven innovation capability is shaping the future of market agility and competitive performance
Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations
Digital Leadership: Towards a Dynamic Managerial Capability Perspective of Artificial Intelligence-Driven Leader Capabilities
A new form of human-machine collaborative capabilities has been called to complement traditional capabilities to ensure higher but more responsible performance in artificial intelligence (AI)-driven organizational environments. Dynamic Managerial Capabilities (DMC) allow organizations to use their resources to neutralize threats and harness opportunities in competitive environments. Using DMC as our theoretical framework, we conducted 20 semi-str…
Big Data and Business Intelligence (7 works) · Computer Science (7 works) · Business (6 works) · Big data (5 works) · Data mining (5 works) · Data science (5 works) · Knowledge management (5 works) · Analytics (4 works) · Marketing (4 works) · Marketing (3 works)