Home / Computer Science / Gender diversity among academicians in the university

Gender diversity among academicians in the university

 

Table Of Contents


Project Abstract

Gender diversity among academicians in the university is a topic of growing interest in the field of higher education research. This study aims to examine the current status of gender diversity among university faculty members, with a focus on exploring the representation of women in academic positions and the challenges they face in career progression. The research utilizes a mixed-methods approach, combining quantitative data analysis of faculty demographics with qualitative interviews to provide a comprehensive understanding of the experiences of male and female academicians. The quantitative analysis involves examining the gender distribution across different academic ranks and disciplines within the university. By comparing the proportion of male and female faculty members at various levels, from assistant professors to full professors, the study aims to identify any disparities in gender representation and advancement opportunities. Additionally, the analysis includes investigating the gender composition within specific departments or colleges to assess the variation in gender diversity across academic disciplines. Complementing the quantitative analysis, qualitative interviews are conducted with male and female faculty members to gain insights into their experiences, perceptions, and challenges related to gender diversity in academia. The interviews explore various aspects such as career advancement opportunities, work-life balance issues, institutional support for gender diversity, and experiences of gender bias or discrimination. By capturing the voices and narratives of academicians, the qualitative component of the study aims to provide a nuanced understanding of the factors influencing gender diversity within the university. The findings of this research contribute to the existing literature on gender diversity in academia by offering a detailed analysis of the current landscape within the university setting. By highlighting the challenges faced by female academicians in career progression and addressing the factors that contribute to gender disparities in academic representation, this study provides valuable insights for university administrators, policymakers, and stakeholders seeking to promote gender equality and diversity in higher education. Overall, this research project sheds light on the importance of fostering a more gender-inclusive academic environment and implementing strategies to support the career development and advancement of female academicians. By recognizing and addressing the barriers to gender diversity, universities can create a more equitable and inclusive space for all faculty members, ultimately enhancing the quality and diversity of scholarship and research within the academic community.

Project Overview

1.0 INTRODUCTION

1.1 BACKGROUND OF STUDY

Gender diversity and the inclusion of more women in boards of directors and top executive management positions have the potential to add value to organisations. For instance, gender diversity can result in more social sensitivity when solving problems (Woolley et al., 2010) and increased diversity in thought and result in better company performance (Ernst & Young, 2009).

When board members include more gender diversity, a firm may increase its chances of effectiveness due to better understanding their stakeholders’ needs, leading to better risk management and general business practice. Decision-making would potentially be enhanced through adding new ideas and perspectives to board and executive management meetings. Groysberg & Bell (2013) found from a survey that 90% of female directors and 56% of male directors said that women add fresh perspectives and thought diversity to boards of directors.

Internationally, numerous studies show evidence of a positive relation between gender diversity on boards of directors and financial performance of firms. Joy et al. (2007) found that companies with higher numbers of women on their boards significantly outperformed other companies, with a 42% higher return on sales and a 53% higher return on equity. Also, Curtis, Schmid & Struber (2012) studied data from more than 2000 global companies and found that female representation on boards was associated with better performance and share prices, including lower volatility in earnings and share prices.

Similar findings were reported by Carter, Simkins & Simpson (2003), Smith, Smith & Verner (2006), Francouer, Labelle & Sinclair-Desgange (2008), Krishnan & Parsons (2008), Reguera-Alvardo, de Fuentes & Laffarga (2015) and Willows & van der Linde (2016). Consequently, gender diversity on the board sends a positive signal to the market that the organisation focuses more on corporate governance and that the company is doing well, thus improving the firm’s reputation.

Larkin, Bernardi and Bosco (2012) indicates that interaction between the firm’s recognition and multiple female board directors is associated with higher overall returns and lower negative returns for stockholders, as measured by market prices of the firm’s common stock. We therefore expect that there is a positive and significant relationship between board gender diversity and firm financial performance.

1.2 STATEMENT OF THE PROBLEM

Gender diversity is equitable or fair representation between genders. Gender diversity most commonly refers to an equitable ratio of men and women. The challenge with gender diversity among academicians in universities could be as a result underestimation of one gender and making them feel inferior; this could be that the idea and the skills of a gender could be ignored and therefore treated as less important which might hinder the organisation or firm’s growth. Finally, several researches have been carried out on the gender diversity but not even a single research has been carried out on the gender diversity among academicians in universities in Lagos state.

1.3 AIMS AND OBJECTIVES OF STUDY

The main aim of the study is to examine gender diversity among academicians in universities. Other specific objectives of the study include;

1. to determine the differences between male and female academicians in universities in Lagos state.

2. to determine the factors affecting gender diversity among academicians in universities in Lagos.

3. to determine the influence of gender diversity among academicians in university of Lagos.

4. to proffer possible solutions to the problems.

1.4 RESEARCH QUESTIONS

1. What is the difference between male and female academicians in universities in Lagos state?

2. What are the factors affecting gender diversity among academicians in universities in Lagos?

3. What is the influence of gender diversity among academicians in university of Lagos?

4. What are the possible solutions to the problems?

1.5 STATEMENT OF RESEARCH HYPOTHESIS

H0: Gender diversity among academicians has no significant effect on their job performance in universities in Lagos.

H1: Gender diversity among academicians has a significant effect on their job performance in universities in Lagos.

1.6 SIGNIFICANCE OF STUDY

The study on gender diversity among academicians will be of immense benefit to the entire universities in Lagos state in the sense that it allows men and women to share their different viewpoints, ideas, and insights; a gender-diverse workforce enables better problem solving in any firm. It will also educate all the universities in Lagos not to underestimate any gender at all in that any gender whether a male or female can be a channel to which the establishment grows. Finally, the study will contribute to the body of existing literature and knowledge to this field of study and as basis for further research.

1.7 SCOPE OF STUDY

The study on gender diversity among academicians in universities is limited to Lagos state.

1.8 LIMITATION OF STUDY

Financial constraint- Insufficient fund tends to impede the efficiency of the researcher in sourcing for the relevant materials, literature or information and in the process of data collection (internet, questionnaire and interview).

Time constraint- The researcher will simultaneously engage in this study with other academic work. This consequently will cut down on the time devoted for the research work.

1.9 DEFINITION OF TERMS

GenderThe state of being male or female (typically used with reference to social and cultural differences rather than biological ones).

Diversity The fact of many different types of things or people being included in something; a range of different things or people.

AcademiciansIs a person who teaches or does research at the university.



Blazingprojects Mobile App

📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Software coding and Machine construction
🎓 Postgraduate/Undergraduate Research works
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Computer Science. 4 min read

Predicting Disease Outbreaks Using Machine Learning and Data Analysis...

The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...

The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Applying Machine Learning for Network Intrusion Detection...

The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...

The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...

BP
Blazingprojects
Read more →
Computer Science. 3 min read

Applying Machine Learning Algorithms for Predicting Stock Market Trends...

The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...

The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...

Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Anomaly Detection in Network Traffic Using Machine Learning Algorithms...

Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Predictive maintenance using machine learning algorithms...

Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us