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Outputs (3)

Big data-savvy teams’ skills, big data-driven actions and business performance (2019)
Journal Article
Akhtar, P., Frynas, J. G., Mellahi, K., & Ullah, S. (2019). Big data-savvy teams’ skills, big data-driven actions and business performance. British Journal of Management, 30(2), 252-271. https://doi.org/10.1111/1467-8551.12333

Prior studies on big data analytics have emphasized the importance of specific big data skills and capabilities for organizational success; however, they have largely neglected to investigate the use of cross-functional teams' skills and its links to... Read More about Big data-savvy teams’ skills, big data-driven actions and business performance.

The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana (2018)
Journal Article
Adams, D., Ullah, S., Akhtar, P., Adams, K., & Saidi, S. (2019). The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana. Resources policy, 61, 433-440. https://doi.org/10.1016/j.resourpol.2018.03.005

Empirical research shows that developing countries that are rich in natural resources tend to suffer slow economic growth and development due to various factors such as quality of institutions, governance, among others. The phenomenon of slow growth... Read More about The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana.

Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data (2018)
Journal Article
Ullah, S., Akhtar, P., & Zaefarian, G. (2018). Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data. Industrial marketing management, 71, 69-78. https://doi.org/10.1016/j.indmarman.2017.11.010

Endogeneity bias can lead to inconsistent estimates and incorrect inferences, which may provide misleading conclusions and inappropriate theoretical interpretations. Sometimes such bias can even lead to coefficients having the wrong sign. Although th... Read More about Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data.