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Differences in Job Motivation among
Female and Male Employees in the
Industrial Sector of Pakistan
Supervisor Name
Presented By
Department/University
Introduction of the
Project/Dissertation
• Global Unemployment Rate by ILO (2017)
– 5.5% males and 6.2% females
• Gender Gap in Southern Asia of labor force:
Region Gap (%) Men (%) Women (%)
Arab States 55.2 76.4 21.2
Northern Africa 51.2 74.1 22.9
Southern Asia 50.8 79.4 28.6
Northern America 12.1 68.3 56.2
Sub-Saharan Africa 11.7 76.3 64.6
Gender gap in participation of labor force (ILO)
Objectives and Significance
Research Hypothesis:
• H1: Women in Pakistani industry tend to be less
motivated compared with men.
• H2: There is a gender gap in the workplace, and women
receive less organizational assistance than males
Objectives and Significance
**Objectives**
• Investigate gender-based differences in job motivation.
• Identify obstacles faced by female employees in career
growth.
• Examine the impact of gender biases on job motivation.
• Explore links between job satisfaction, support, and
gender-based motivation.
• Provide practical recommendations for promoting gender
equality.
Objectives and Significance
**Significance**
• Addresses gender inequalities in the industrial sector.
• Enhances understanding of gender dynamics in
motivation.
• Offers data-driven strategies for career advancement.
• Guides policy-making for inclusive work environments.
• Contributes to a more equitable and motivated
workforce.
Data Collection
The industry chosen: “Style Textile Mills Pvt Ltd”
• Online Questionnaire (Google Forms)
• Duration: 5-15 June (10 Days)
• 40 participants (28 men, 12 women)
Questionnaire
• Section 1 (Introduction of respondent)
• Section 2 (Opinion about job motivation)
• Section 3 (Organizational Opportunities and Gender
Biasness)
Data Processing
• Auto responses gathered in Google Sheets
• Google Sheets converted to Excel file
• Conducted separate percentage analysis to determine
gender opinions on each question.
Data Analysis
71.4
60
Average level of Motivation
Male % Famle %
Data Analysis
4
16
16
4
12
0 5 10 15 20
Intrinsic factors (e.g., challenging
work, sense of accomplishment)
Extrinsic factors (e.g., salary,
promotions, benefits)
Work-life balance
Career growth opportunities
Organizational support and
recognition
Motivating Factors
Data Analysis
57.14
42.85
66.67
33.33
0
10
20
30
40
50
60
70
80
Yes No
Gender biasness in job motivation in your organization
Male Female
Data Analysis
4
8
12
4
4
8
0
2
4
6
8
10
12
14
Strongly
Agree
Agree Neutral Disagree
Your organization's support for your career
development opportunities.
Male Female
Data Analysis
57.14
26.67
Significance of positive work environment and supportive
fellow workers in terms of job motivation
Male % Female %
Data Analysis
54.28
40
Your perception of gender biases and stereotypes within
your organization
Male % Female %
Data Analysis
57.14
42.85
66.67
33.33
0
10
20
30
40
50
60
70
80
Yes No
Pakistan's male-dominated society prevents women from
growing in the workplace?
Male Female
Conclusion/Findings
Research Hypothesis:
• H1: Women in Pakistani industry tend to be less
motivated compared with men.
• H2: There is a gender gap in the workplace, and women
receive less organizational assistance than males.
Proven true
Proven true
Recommendations
• Use qualitative research to understand gender-based
job motivation differences.
• Compare across industries and countries to confirm
gender motivation differences.
• Examine how management styles contribute to
gender inequalities in engagement.
• Empower women and boost job motivation through
developing workplace norms.
• Examine how addressing gender motivation
disparities affects productivity and financial success
in the long run.
Thank You

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Presentation Final job motivation ppt.pptx

  • 1. Differences in Job Motivation among Female and Male Employees in the Industrial Sector of Pakistan Supervisor Name Presented By Department/University
  • 2. Introduction of the Project/Dissertation • Global Unemployment Rate by ILO (2017) – 5.5% males and 6.2% females • Gender Gap in Southern Asia of labor force: Region Gap (%) Men (%) Women (%) Arab States 55.2 76.4 21.2 Northern Africa 51.2 74.1 22.9 Southern Asia 50.8 79.4 28.6 Northern America 12.1 68.3 56.2 Sub-Saharan Africa 11.7 76.3 64.6 Gender gap in participation of labor force (ILO)
  • 3. Objectives and Significance Research Hypothesis: • H1: Women in Pakistani industry tend to be less motivated compared with men. • H2: There is a gender gap in the workplace, and women receive less organizational assistance than males
  • 4. Objectives and Significance **Objectives** • Investigate gender-based differences in job motivation. • Identify obstacles faced by female employees in career growth. • Examine the impact of gender biases on job motivation. • Explore links between job satisfaction, support, and gender-based motivation. • Provide practical recommendations for promoting gender equality.
  • 5. Objectives and Significance **Significance** • Addresses gender inequalities in the industrial sector. • Enhances understanding of gender dynamics in motivation. • Offers data-driven strategies for career advancement. • Guides policy-making for inclusive work environments. • Contributes to a more equitable and motivated workforce.
  • 6. Data Collection The industry chosen: “Style Textile Mills Pvt Ltd” • Online Questionnaire (Google Forms) • Duration: 5-15 June (10 Days) • 40 participants (28 men, 12 women) Questionnaire • Section 1 (Introduction of respondent) • Section 2 (Opinion about job motivation) • Section 3 (Organizational Opportunities and Gender Biasness)
  • 7. Data Processing • Auto responses gathered in Google Sheets • Google Sheets converted to Excel file • Conducted separate percentage analysis to determine gender opinions on each question.
  • 8. Data Analysis 71.4 60 Average level of Motivation Male % Famle %
  • 9. Data Analysis 4 16 16 4 12 0 5 10 15 20 Intrinsic factors (e.g., challenging work, sense of accomplishment) Extrinsic factors (e.g., salary, promotions, benefits) Work-life balance Career growth opportunities Organizational support and recognition Motivating Factors
  • 10. Data Analysis 57.14 42.85 66.67 33.33 0 10 20 30 40 50 60 70 80 Yes No Gender biasness in job motivation in your organization Male Female
  • 11. Data Analysis 4 8 12 4 4 8 0 2 4 6 8 10 12 14 Strongly Agree Agree Neutral Disagree Your organization's support for your career development opportunities. Male Female
  • 12. Data Analysis 57.14 26.67 Significance of positive work environment and supportive fellow workers in terms of job motivation Male % Female %
  • 13. Data Analysis 54.28 40 Your perception of gender biases and stereotypes within your organization Male % Female %
  • 14. Data Analysis 57.14 42.85 66.67 33.33 0 10 20 30 40 50 60 70 80 Yes No Pakistan's male-dominated society prevents women from growing in the workplace? Male Female
  • 15. Conclusion/Findings Research Hypothesis: • H1: Women in Pakistani industry tend to be less motivated compared with men. • H2: There is a gender gap in the workplace, and women receive less organizational assistance than males. Proven true Proven true
  • 16. Recommendations • Use qualitative research to understand gender-based job motivation differences. • Compare across industries and countries to confirm gender motivation differences. • Examine how management styles contribute to gender inequalities in engagement. • Empower women and boost job motivation through developing workplace norms. • Examine how addressing gender motivation disparities affects productivity and financial success in the long run.

Editor's Notes

  1. Unemployment is a big issue because both male and female percentages contributes to total value, and job motivation also plays significant role in this unemployment Southern Asia: Second largest total gap Southern Asia: Third largest women gap
  2. There could be many possible hypothesis of this research but we summarized them to these two only The whole study is focused to check validation of our research hypothesis
  3. Relate them all to Pakistan’s industrial sector, This text would be repetitive so wasn’t written in bullet points
  4. Relate them all to Pakistan’s industrial sector, This text would be repetitive so wasn’t written in bullet points
  5. 10 days were given for responding to questionnaire Describe total workforce of style textile mill and also justify that the men to women ratio was considered mainly so we selected 40 respondents and 28:12 out of 40 is significant. Remember the questions of each section (2-3) for references and justification of section
  6. H1 by slide 8 H2 by slide 10 and 14