Multidimensional and Global Indicators for Government Start-ups’ Risk Decisions-Making

ABSTRACT

Despite advances in understanding Government start-ups and risk strategy innovation, the area remains underdeveloped, notably within the public administration literature and limited number of studies, tested the moderating effect of multidimensional and global indicators connecting time to operational and organizational risk, is available. The purpose of this article is to test, the model that the organizational risk would generate a decision-making optimization considering the decision timing. The results indicate a desirable reconceptualization of the synthetic, multidimensional, and global indicators of the productivity of Government start-ups. A facto-experimental approach is mobilized for the needs of this research. To moderating the variables, an empirical test was conducted that dealt with the operational and organizational risk influence optimization over time. In doing so, one would clearly notice the fragmentation of time and risk dimensions. The paper attempts to model thesis dimensions in one study.

KEYWORDS:

• Public administration
• Government start-ups
• operational and organizational risk
• decision-making
• organization optimization
• corporate governance
• management development

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. For the same reason inherent in the small number of small and medium-sized enterprises selected in the sample, the constant has not been replaced by a transformed variable equal to the standard deviation from the mean, as is the case when fixed effect models are estimated on large samples.

2. We eliminated one in the sample because of the poor quality of the information.

3. The number of the first line of each start-up is the coefficient and that of the second line, the t of Student

4. In a first step, we estimated the model by means of ordinary least squares (OLS) then we recovered the residues and finally we estimated the square of the residues with respect to the explanatory variables of the model.

5. We note that a portion of capital to external investors does not necessarily result in them having the power of control which forced us to add the variable external control

6. in a first step, we estimated the model, using ordinary least squares (OLS), then we know how to recover the residuals, and finally we estimated the squares of the writings with respect to the explanatory variables of the model

7. The command used for those tests, in Stata, is xtesd (external module)

8. The command used for this test is xtserial

Additional information

Funding

The author thanks Northwestern University, ExpertActions ExiGlobal Capital Group and the Chair of Institutional Governance & Strategic Leadership Research for funding this research.