Factors affecting participation of women in taxi driving industry in Australia: A case study of Uber Technologies Inc.

This case study analyzes the functionality of Uber Technologies Inc. in providing employment to female taxi drivers in Australia. It aims to find out the current rate of female employees, factors affecting their participation, effects of increasing their share, and strategies for increasing their share in the company.

UBER TACHNOLOGIES INC. |
Factors affecting the
participation of women as
compared to Men in Taxi
Drivers in Australia- The study
of Cab Services by Uber
Technologies Inc. Inc.
RESEARCH IN BUSINESS
Running Head- Case Study

Case study 1
Table of Contents
Research Title:.......................................................................................................................................2
Problem Statement...............................................................................................................................2
Aims and Objectives..............................................................................................................................2
A Brief Methodology.............................................................................................................................3
Literature Review..............................................................................................................................3
Data collection...................................................................................................................................3
Interviews..........................................................................................................................................3
Secondary Data and Data Analysis Method...........................................................................................3
References.............................................................................................................................................4

Case study 2
Research Title:
Factors affecting the participation of women as compared to Men in Taxi Drivers in
Australia.
Problem Statement
The participation rate of male and female employees in context of Taxi Drivers has been well
defined in Australian Taxi Industry Association (ATIA, 2014). According to ATIA
engagement of women in Taxi Driving Industries has decreased due to some social reasons
but there are some cab service providing companies that are providing employment to
females. This study will analyze the functionality of Uber Technologies Inc. which is one of
the largest cab service provider companies (Week, 2018).
Uber Technologies Inc. (Uber) is a technology start-up that provide services of sharing rides
by enabling a link between individual service providers (drivers) with the help of an
application. Business of Uber has extended its activities in more than 250 cities of 57
countries. Uber’s more appraisable step is to employ female taxi drivers for riding services.
Since women’s safety is the major issue and while travelling by a taxi, it is more important to
ensure that the driver of the taxi is trustable and well behaved. Along with this, considering
female drivers also indicates a step towards women empowerment and changing of social
attitudes. Uber is continuously looking for new ways to increase the participation of female
drivers by providing better career opportunities and good working atmosphere (Uber, 2018)
Aims and Objectives
This Project aims at detailed and precise indicators on the employment of women as a Taxi
Driver, and analysing the factors affecting the participation of female taxi drivers in Australia
in comparison to male taxi drivers. Objectives of this project are (Ary, Jecobs, Irvine, &
Walker, 2018).
 To find out the current rate of female employees in the organization.
 To find out factors affecting the Participation of female taxi drivers.
 To examine the effects of increasing share of female taxi drivers.
 To frame strategies for increasing the women’s share in the company.

Case study 3
A Brief Methodology
To precisely examine the factors affecting the women employment in cab services of Uber
Technologies Inc. and to suggest strategies for increasing the share of female employees, this
study has chosen mix methodology to cover all important aspects of the study (Bryman &
Bell, 2015).
Literature Review- According to Booth, Sutton and papaioannou (2016) introducing
female taxi drivers is one of the most admirable step towards women empowerment. (Booth,
Sutton, & Papaioannou, 2016). Further as per the view of Azoirn and Cameron (2010) this
step was proved successful to an extent but not in desirable state (Azorin & Cameron, 2010).
Data collection- Secondary data for the research will be collected from authorised
website and legal government sources. Sources of data will be official website of Uber
Technologies Inc., reports of taxi association, journal articles and other reports (Cope, D.G.,
2014).
Interviews- to facilitate the results after analysing the secondary data, this case study will
also involve the interviews of female taxi drivers and the superior authorities of the company.
This information will also be helpful in finding the ways to increase the number of share of
female employees at the workplace. It will also help in finding out the opinion of the service
receiver or customers. A set of question will be prepared for sharing the feedback of
customers with male and female taxi drivers (Taylor, Bogdan, & Vault, 2015).
Secondary Data and Data Analysis Method
As talked about the case, this study will majorly use secondary data sources from the
Australian Taxi Industry Association and previous trends of Uber Technologies Inc. It will be
easy to understand as well as quickly be available online. Specifically data based on working
atmosphere of the company, rules regarding female employment, availability of required
flexibility and facilities, remuneration policies and professional requirement will be collected
from website and annual reports of the company. After collection of appropriate information
related data, it will be crossed checked with the current figures and scenarios with the help of
current news published on its website. After cross-checking all information such as facility
structure, measures of safety at workplace, organizational characteristics in context to female
employment will be organized and then relation among the same will be analyzed on the
basis of correlation analysis (Silverman, 2016).

Case study 4

Case study 5
References
Ary, D., Jecobs, L. C., Irvine, C. K., & Walker, D. (2018). Introduction to Research in Education.
Cengage Learning. Retrieved April 3, 2018
ATIA. (2014, December). Taxi Statistics. Retrieved April 3, 2018, from Australian Taxi Industry
Association: to Australian Taxi Industry Association
Azorin, M. J., & Cameron, R. (2010). The Application of Mixed Methods in Organisational Research: A
Literature Review. Electronic Journal of Business Research Methods, 8(2), 95-105. Retrieved
April 3, 2018
Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic Approaches to a Successful Literature
Review (2nd ed.). Sage Publications Ltd. Retrieved April 3, 2018
Bryman, A., & Bell, E. (2015). Business Research Methods (4th ed.). Oxford University Press.
Retrieved April 3, 2018
Cope, D. G. (2014, January). Methods and meanings: credibility and trustworthiness of qualitative
research. In Oncology nursing forum (Vol. 41, No. 1)
Silverman, D. (2016). Qualitative Research (4th ed.). Sage Publications l. Retrieved April 3, 2018
Taylor, S. J., Bogdan, R., & Vault, M. D. (2015). Introduction to Qualitative Research Methods: A
Guidebook and Resource (Vol. 2). John Wiley & Sons. Retrieved April 3, 2018
Uber. (2018). Driver-partner requirements. Retrieved April 3, 2018, from https://www.uber.com/en-
AU/drive/requirements/
Week, B. B. (2018). Company Overview of Uber Technologies, Inc. Retrieved April 3, 2018, from
https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=144524848
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