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This study focuses on the analysis of the influence of organizational design variables on the creation of knowledge within the firm. The impact that enablers have on knowledge creation has been widely demonstrated and established by the relevant literature. Using this assumption as a starting point, this study will consider and explore the role that mechanisms of integration and coordination play in the creation of knowledge, considering enablers as intermediate variables. In this way, we can create a model of the relationships between these variables and contrast them with an empirical investigation of a quantitative nature, using a sample of 167 large Spanish firms. Despite the fact that the theoretical framework in question is characterized by a direct and positive connection between the standardization of work processes and knowledge creation, the results suggest that the relation is not significant. All the other coordination mechanisms, however, do have a significant influence on the creation of knowledge: standardization of skills through the autonomy enabler; standardization of outputs through intention; interventions for socialization through intention and trust and commitment; and, lastly, mutual adjustment whose influence is found in redundancy and variety.

The aim of this study was to show the relationships between the enablers for knowledge creation and human capital (HC); the effect of HC on feedback and feedforward; and the influence of these learning flows on organizational performance. To achieve this, we developed a novel theoretical model of relationships and tested this model empirically. We quantitatively test this model using data from firms in the Spanish biotechnology sector. Results show strong relationships between HC and enablers for knowledge creation (redundancy, trust, and autonomy); HC and learning flows (feedback and feedforward); and learning flows and organizational performance. The originality of this study lies in linking-theoretically, empirically, and through a novel model-independent theories of HC, learning, and knowledge creation.

Green entrepreneurship has been increasing with growing attention to environment protection by a variety of stakeholders. Green innovation, as the essence of green entrepreneurship, has attracted a broad range of scholarly attention with yet inconclusive findings regarding its effect on firm performance. According to our analyses of 1667 firms listed on SME board and GEM in China during the period from 2010 to 2019, we find interesting results regarding the type of green innovation involved and the moderating effect of firm age on the link between green innovation and SME performance. More precisely, we find green utility-model innovation positively influences firm performance for SMEs, whereas green invention innovation does not contribute to firm performance overall. More interesting, our empirical results suggest that older firms benefit more from both green invention innovation and green utility-model innovation than younger firms. This research contributes to the literature on green entrepreneurship as well as green innovation.

The main aim of this study is to establish the effect of the Exploitation and Exploration; and the influence of these learning flows on the Innovative Outcome (IO). The Innovative Outcome refers to new products, services, processes (or improvements) that the organization has obtained as a result of an innovative process. For this purpose, a relationship model is defined, which is empirically contrasted, and can explains and predicts the cyclical dynamization of learning flows on innovative outcome in knowledge intensive firms. The quantitative test for this model use the data from entrepreneurial firms biotechnology sector. The statistical analysis applies a method based on variance using Partial Least Squares (PLS). Research results confirm the hypotheses, that is, they show a positive dynamic effect between the Exploration and the Innovative as outcomes. In the same vein, they results confirm the presence of the cyclic movement of innovative outcome with the Exploitation.