An aging workforce is causing companies to adjust development and delivery of employee technology-based training programs in order to accommodate a multi-generational workforce. The research proposal focuses on exploring how the aging workforce affects employers in the way they address technological training needs for a broad audience age and skill level. In addition, the employees’ views on technology-based training will also be explored as to what their thoughts are on receiving technology-based training given the age disparity in their training environment. The research method implemented in the proposal consists of a quantitative questionnaire to explore workers’ attitudes and feelings on how they believe their organizations deal with
…show more content…
How does age-bias in the workplace impact older workers from a training perspective?
The hypothesis is that the majority of companies are not fully prepared to deal with the phenomenon of an aging workforce due to age-bias associated with technology training, and older worker learning styles and attitudes towards new technology.
Limitations of the Study
A limitation of the study could be ensuring there is adequate participation from age group categories defined as the “participants.” The purpose is to gather info from four distinct generations of workers, and adequate representation is necessary for meaningful results and conclusions. Another possible limitation is ensuring there are a sufficient enough number of companies participating. Current trends indicate that companies considered “high-tech,” such as Microsoft and Google have average workers under the age of 35, while more traditional industries, US Post Office, UPS, and Utilities, have average workers over 43 years of age. The national average as of 2012 was 42.3 years for the average worker, and that number is increasing yearly (www.payscale.com statistical information …show more content…
The data will be collected, measured, and a report generated based on results from within each age group and for the total population. The results will be order ranked for each age group and for the entire population. The method captures the same data from all participants, regardless of age. The data can then be used to generate statistical information and correlated to find patterns of differences and/or similarities.
Sampling Techniques
A random sampling technique of proportional stratified sampling will be used, where the population will be divided into one of the four generational age groups, and systematic sampling.
Any group that contains over 1000 members, 10% will be used for the sample, for example, if the 35-49 age group has a total membership of 1600, and 160 is the identified sample size, then 10 is the interval.
Ex: 1600 =N, sample 160 = n, k=1600/160 = 10; every 10th person on the list is
How does age-bias in the workplace impact older workers from a training perspective?
The hypothesis is that the majority of companies are not fully prepared to deal with the phenomenon of an aging workforce due to age-bias associated with technology training, and older worker learning styles and attitudes towards new technology.
Limitations of the Study
A limitation of the study could be ensuring there is adequate participation from age group categories defined as the “participants.” The purpose is to gather info from four distinct generations of workers, and adequate representation is necessary for meaningful results and conclusions. Another possible limitation is ensuring there are a sufficient enough number of companies participating. Current trends indicate that companies considered “high-tech,” such as Microsoft and Google have average workers under the age of 35, while more traditional industries, US Post Office, UPS, and Utilities, have average workers over 43 years of age. The national average as of 2012 was 42.3 years for the average worker, and that number is increasing yearly (www.payscale.com statistical information …show more content…
The data will be collected, measured, and a report generated based on results from within each age group and for the total population. The results will be order ranked for each age group and for the entire population. The method captures the same data from all participants, regardless of age. The data can then be used to generate statistical information and correlated to find patterns of differences and/or similarities.
Sampling Techniques
A random sampling technique of proportional stratified sampling will be used, where the population will be divided into one of the four generational age groups, and systematic sampling.
Any group that contains over 1000 members, 10% will be used for the sample, for example, if the 35-49 age group has a total membership of 1600, and 160 is the identified sample size, then 10 is the interval.
Ex: 1600 =N, sample 160 = n, k=1600/160 = 10; every 10th person on the list is