Короткий опис (реферат):
Project management is a current trend of management in the public
sphere, based on different principles, methods and tools. The tools
include information technologies providing control over time, cost,
quality and planning process in order to ensure accountability to
interested parties. The goal of the research was to examine the
impact of the integration of information systems in project
management of the public sphere on the quality of public
governance and administration using the example of infrastructure
projects involving the private sector in developing countries. The
methodology of the research is based on the concepts of “digitalera
governance” (DEG), “Information governance” and “project
governance” to determine the effectiveness of information systems
and technologies in the management of infrastructure projects in
the public sphere. The data from the countries with Lower middle
income (India, Indonesia, Philippines, Ukraine, Vietnam) and
Upper middle income (Argentina, Brazil, China, Colombia,
Mexico, Peru, Romania, Russian Federation, Thailand, Turkey)
for 1996-2020 were used to study the effects of DEG. The results
show two main trends in the countries with Lower middle income
and Upper middle income. The first trend is the development of
digital governance, the concept of “digital-era governance”
through information systems and performance measurement of the
governance system, forecasting of investment flows of
infrastructure projects, measurement of payback and effectiveness
parameters for investment management in the public sector,
decision support. The second trend is the existence of systemic
challenges related to corruption, social and institutional factors
through the development of democracy in developing countries
and the integration of NPM similar to developed countries. The
confidence of interested parties, especially private investors, in
public authorities is determined by other factors – the level of
return on investment, risks and assignment of responsibility,
probability of successful completion of the project. These data still
remain limited for a wide range of project participants, including
citizens.
