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Various studies have been conducted in different sectors to evaluate the effect of training on the performance of employees (Colombo & Stanca, 2008; Kennedy, 2009; Thang, & Quang, 2011; Sultana, Irum, Ahmed & Mahmood, 2012; Sultana, 2013)
However limited evidence exists in US Aerospace industry (Balderrama, 2016). Given this, the present research is intended to evaluate the effect of training on the performance of employees in the US Aerospace industry. The present study is of great value because it would help fill the gap present in the existing literature.
The study aims to empirically determine the effect of training on the performance of employees in the US Aerospace industry. This aim is intended to be achieved by addressing the following research objectives;
It is proposed to perform this study by utilizing mainly the primary research method. The primary research is intended to be conducted based on a survey where the questionnaire will be sent to the employees working in the US Aerospace industry.
A sample of 70 employees working in the US Aerospace industry will be selected using a non-random sampling technique. In this study, the non-random sampling technique was appropriate to select because it was impossible to randomly select any of the employees working in the US Aerospace industry.
Therefore those employees who were within reach and were willing to participate were selected based on convince sampling (Collis & Hussey, 2009). However, secondary research will be used to review the past literature related to the effect of training on the performance of employees.
The quantitative data collected via questionnaire will be analyzed statistically using regression analysis to determine the effect of training on the performance of employees in the US Aerospace industry.
The reason for selecting a sample of 70 respondents is based on a rule of thumb that says that in research where regression analysis is used, the sample size should not be less than 30 (Cohen, Manion, & Morrison, 2013).
The questionnaires will be sent to the willing participants via emails and informed about the intended purpose of the research while obtaining their informed consent.
The closed-ended questionnaire is intended to be developed where most of the items will be based on 3 points Likert Scale (Field, 2009). Reliability analysis will evaluate the re-test reliability of the developed questionnaire and the internal consistency of the data. (Anderson & Arsenault, 2005)
The proposed research is anticipated to be completed within a six-month duration. However, the actual time duration may vary slightly.
Anderson, G., & Arsenault, N. (2005). Fundamentals of Educational Research. Routledge.
Balderrama, N. T. (2016). Strategies to Improve Employee Performance in the US Aerospace Industry. Walden University.
Bryman, A., & Bell, E. (2015). Business research methods. Oxford University Press, USA.
Cohen, L., Manion, L., & Morrison, K. (2013). Research Methods in Education. Routledge.
Collis, J., & Hussey, R. (2009). Business Research: A Practical Guide for Undergraduate and Postgraduate Students. UK, Palgrave Macmillan.
Colombo, E., & Stanca, L. (2008). The Impact of Training on Productivity: Evidence from a Large Panel of Firms. Journal of Management, 3(34).
Field, A. (2009). Discovering Statistics Using SPSS, SAGE Publications Ltd.
Kennedy, J. (2009). The Impact of Training and Development on Job Performance. Institute of Distance Learning, Kwame Nkrumah University of Science and Technology. 2009, 1-77.
Sultana, A., Irum, S., Ahmed, K., & Mahmood, N. (2012). Impact of Training on Employee Performance: A Study of Telecommunication Sector in Pakistan, Interdisciplinary Journal of Contemporary Research in Business, 4(6), pp. 646-661.
Sultana, M. (2013). Impact of Training in Pharmaceutical Industry: An Assessment on Square Pharmaceuticals Limited, Bangladesh, International Journal of Science and Research, 2(2), pp. 576-587
Thang, N., & Quang, T. (2011). The impact of training on firm performance in a transitional economy: Evidence from vietnam. Research & Practice in Human Resource Management, 19(1), 11-26.
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