QUESTION $1$

a$)$ Specific research questions that align with investigating a suitable research methodology for identifying and analyzing key strategic management factors and phases in the fields of Economics, Business, and Technology:

What are the key strategic management factors and phases relevant to the fields of Economics, Business, and Technology?

How do these strategic management factors and phases intersect and interact across the three disciplines?

What are the strengths and limitations of quantitative and qualitative research methodologies in identifying and analyzing these strategic management factors and phases?

How can a suitable research methodology be designed to effectively investigate and understand the complex interplay of strategic management factors and phases across Economics, Business, and Technology?

b$)$ Research objectives to guide the exploration of quantitative research, qualitative research, and strategic management of digital systems:

To critically review and evaluate the existing quantitative and qualitative research methodologies in the context of studying strategic management factors and phases.

To identify the key characteristics, advantages, and limitations of quantitative and qualitative approaches for cross$-$disciplinary research in Economics, Business, and Technology.

To examine the role and significance of digital systems in strategic management and their implications for research methodology selection.

To develop a framework or guidelines for selecting and integrating appropriate research methodologies to effectively investigate strategic management factors and phases across the three disciplines.

c$)$ Problem statement:

Researchers in Economics, Business, and Technology face significant challenges in selecting an appropriate research approach for cross$-$disciplinary studies, particularly when investigating complex strategic management factors and phases that span multiple fields. The intersection of these disciplines and the diverse nature of strategic management elements necessitate a rigorous and well$-$informed selection of research methodologies to effectively capture and analyze the intricate relationships and dynamics involved.

d$)$ Significance and implications of the study:

This study holds significant importance as it addresses a critical challenge faced by researchers in understanding the key strategic management factors and phases at the intersection of Economics, Business, and Technology, especially within the context of digital systems. By providing a comprehensive exploration of quantitative and qualitative research methodologies and their suitability for cross$-$disciplinary research, this study can contribute to the following:

Enhance the effectiveness and rigor of research endeavors in strategic management across multiple disciplines.

Facilitate the integration of diverse perspectives and methodological approaches to capture the complexity of strategic management factors and phases.

Promote cross$-$fertilization of ideas and techniques from different fields, fostering innovation and interdisciplinary collaboration.

Inform the development of tailored research frameworks or guidelines for investigating strategic management in the digital age.

e$)$ Key variables and their relationships:

Research methodologies $($quantitative and qualitative$)-$ Independent variables

Strategic management factors and phases $-$ Dependent variables

Digital systems $-$ Moderating variable

Cross$-$disciplinary research $($

$)-$ Contextual variable

Explanation:

The relationships between these variables can be explored to understand how different research methodologies $($independent variables$)$ influence the identification and analysis of strategic management factors and phases $($dependent variables$),$ considering the moderating role of digital systems and the contextual influence of cross$-$disciplinary research spanning Economics, Business, and Technology.

Step $2$

QUESTION $2$

To effectively address the research objectives outlined in the paper, the appropriate data analysis methodologies and techniques should encompass both quantitative and qualitative approaches, leveraging their respective strengths and complementary nature. Here are some potential methodologies and techniques that could be employed:

Quantitative Data Analysis Methodologies and Techniques: a$.$ Statistical analysis techniques $($e$.$g$.,$ regression analysis, correlation analysis, factor analysis$)$

b$.$ Structural equation modeling $($SEM$)$

c$.$ Data mining and predictive analytics

d$.$ Simulation and optimization models

e$.$ Experimental and quasi$-$experimental designs

Qualitative Data Analysis Methodologies and Techniques:

a$.$ Grounded theory approach

b$.$ Content analysis $($e$.$g$.,$ text mining, sentiment analysis$)$

c$.$ Case study research

d$.$ Ethnographic and observational studies

e$.$ Phenomenological analysis

f$.$ Thematic analysis