Dynamic Capabilities and Competitive Advantage of Telecommunication Companies in Ghana. The Role of Innovation Capability

Abstract

This paper explored the link between dynamic capabilities, innovation capabilities, and competitive advantage of telecommunication companies in Ghana, considering a mediation interaction. Data were obtained from two hundred and fifty (250) employees from selected telecommunication companies in the Accra metropolis through simple random probability sampling. However, two hundred and forty-two (242) responses were deemed accurate and used in the analysis. Partial Least Squares (PLS) based on Structural Equation Modeling (SEM) was employed in the analysis. From the findings, this study’s data met internal consistency reliability, convergent, and discriminant validity. Dynamic capabilities had a positive and significant impact on innovation capability and competitive advantage. Also, dynamic capabilities through innovation capability positively impacted competitive advantage and were statistically significant. Based on the findings, it’s recommended that organizations and managers consider both exploitation and exploration competencies in product development as both competencies influence various aspects of an organization’s competitive advantage, as this will help ensure organizations’ sustainable performance and thus remain competitive.

Green Human Resource Management Practices and Environmental Performance in Ghana: The Role of Green Innovation

“…In contrast, LM produced RMSE figures of 0.575, 0.668, 0.580, and 0.709, respectively, for the model estimation using PLS-RMSE. So, the negative values obtained in Table 10 after deducting the PLS-RMSE values from the LM-RMSE values indicated a high predictive power of the model, supporting those of Ahakwa et al (2021c), Quagraine et al (2021), and (Odai et al, 2021).…”

Investigating the Relationship Between Local Business and Employment Creation for Poverty Reduction in Northern Ghana: The Moderating Role of Local Economic Development (LED) Policy

“…In assessing the overall R 2 of the model, local business, local employment, and LED policy explained 40.5% of the total variance in poverty reduction; thus, R 2 = .405 is greater than the minimum value of .26 suggested by Cohen (1988, see Table 9). This means the overall model of the research was substantive, thus resulting in robust results, collaborating with those of Ahakwa et al (2021aAhakwa et al ( , 2021d and Quagraine et al (2021). According to Korankye et al (2021) and Ying et al (2021), a Q 2 value more than 0 means the research model is higher in its predictive relevance.…”