Purpose: The purpose of the present study was twofold. First, this study examined the relationships of work alienation with explorative learning and exploitative learning. Second, the study tested the role of emotional exhaustion as a mediator of the relationships of work alienation with explorative learning and exploitative learning. Job Demands-Resources model was used as the underlying theoretical foundation to establish these relationships. Methods: Two-source time-lagged data were collected from 225 middle-level managers and their 222 immediate supervisors in 87 Pakistani firms spanning different industries. Structural equation modeling and bootstrapping were used to test the hypothesized relationships,. Results: The study revealed that work alienation is negatively related to both explorative learning and exploitative learning. Moreover, the study also established emotional exhaustion as a mechanism underlying the relationships work alienation with explorative learning and exploitative learning by showing that work alienation enhances emotional exhaustion, which, in turn, negatively influences both explorative learning and exploitative learning. Conclusion: By conceptualizing and providing empirical evidence of the negative relationships of work alienation with explorative learning and exploitative learning, both directly and via emotional exhaustion, the study signified some of the important but largely ignored dynamics of the employment relationship within the current regime of organizational structures. The findings suggest that the managers’ sensed estrangement from work and work context need to be addressed, as it can exhaust them emotionally and hinder their search and acquisition of new knowledge and competencies.

The study examined the responsiveness of the environment of Ghana to changes in key economic indicators such as the international trade, energy consumption, urbanization, economic growth, and financial development. Our study utilized the ecological footprint as the indicator for environmental degradation as it encompasses the entire ecosystem that supports humankind consumption and activities. Consequently, the use of ecological footprint gives a clear and a bigger picture of environmental degradation than any individual pollutant(s). This study takes into cognizance the influence of structural break in the time series variables. The findings from the dynamic ordinary least square (DOLS) established the existence of an inverted N‐shaped environmental degradation‐economic growth relationship for Ghana under the cubic EKC framework. The ARDL bound testing approach confirmed the presence of long‐run cointegration among the variables. Furthermore, the bootstrap causality revealed a unidirectional causality running from energy consumption to export and urbanization to export. Our study, therefore, advocates for the production and consumption of enhanced energy‐efficient products and commodities among the populace of Ghana.