Examining the Effects of OrganizationalRelated Variables on Protean Career
To examine the effects of organizationalrelated variables and the moderating role of career strategies on protean career among employees, we will follow these steps:

Data Collection: Gather data on organizationalrelated variables, career strategies, and protean career outcomes.

Variable Identification:
 OrganizationalRelated Variables: These may include organizational culture, mentoring, employability culture, etc.
 Career Strategies: These may include networking, continuous learning, career planning, etc.
 Protean Career Outcomes: These may include career satisfaction, career success, adaptability, etc.

Empirical Framework: Develop an empirical framework to explain protean career based on the data.

Moderating Effect Model: Build a model to examine the moderating effect of career strategies on the relationship between organizationalrelated variables and protean career outcomes.
Empirical Framework for Protean Career
Based on the article "Promoting protean career through employability culture and mentoring: career strategies as moderator", we can establish the following empirical framework:
 Independent Variables: Organizationalrelated variables (e.g., employability culture, mentoring).
 Moderating Variables: Career strategies (e.g., networking, continuous learning).
 Dependent Variables: Protean career outcomes (e.g., career satisfaction, career success).
Model of the Moderating Effect on Career Strategies
To build the model, we will:
 Identify Key Variables: Determine the key organizationalrelated variables, career strategies, and protean career outcomes from the data.
 Statistical Analysis: Use statistical methods (e.g., regression analysis) to examine the relationships between variables.
 Moderating Effect: Test the moderating effect of career strategies on the relationship between organizationalrelated variables and protean career outcomes.
We will now proceed with the analysis based on the provided data.