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“Yashil iqtisodiyot sari: nazariy va amaliy yondashuvlar tahlili”
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Bog'liq 03 04 2024 Yashil iqtisodiyot sari anjuman materiallari to\'plami“Yashil iqtisodiyot sari: nazariy va amaliy yondashuvlar tahlili”
mavzusidagi xalqaro ilmiy-amaliy anjuman
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Projects and Their Management in the Oil and Gas Industry" is designed to provide
a robust framework for gathering, analyzing, and interpreting data. The study
incorporates both primary and secondary sources, utilizing a mixed-methods
approach to ensure a comprehensive understanding of the complexities inherent in
project selection and management within the oil and gas sector.
Data Collection:
Primary Data:
The collection of primary data involves the direct acquisition of information
from individuals and entities actively involved in or affected by the oil and gas
industry's project selection and management processes. The primary data collection
methods include:
1. Interviews: In-depth interviews with key industry stakeholders, such as
project managers, executives, and regulatory authorities, to gather insights into the
decision-making processes, challenges faced, and strategies employed in project
selection and management.
2. Surveys: Distribution of structured surveys to a representative sample of
professionals within the oil and gas industry. The survey aims to quantify opinions,
preferences, and trends related to project selection criteria, management
methodologies, and the impact of emerging technologies.
Secondary Data:
Secondary data collection involves gathering information from existing
sources, including literature, documents, and statistical data related to the oil and gas
industry, project management, and emerging technologies.
1. Documents: Review of industry reports, academic papers, project
documentation, and relevant literature to establish a theoretical foundation and gain
insights into historical trends and best practices.
2. Statistics: Utilization of statistical data from reputable sources to understand
industry trends, economic indicators, and the historical performance of projects in
the oil and gas sector.
Obtained Data Analysis Part:
The data analysis will encompass various statistical techniques, including:
1. Correlation Analysis: To identify relationships between different variables,
such as the correlation between project success and the use of specific project
management methodologies.
2. Regression Analysis: To examine the influence of independent variables
(e.g., project selection criteria) on dependent variables (e.g., project outcomes).
3. Frequency Analysis: To quantify the prevalence of certain practices,
opinions, or trends within the collected data.
Methods of Secondary Source:
Secondary sources, such as literature, documents, and statistics, will be
systematically reviewed and analyzed to complement the primary data findings. This
involves:
1. Document Analysis: Examining historical documents, industry reports, and
academic literature to provide context, support arguments, and validate primary data
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