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researchers divided the respondents into workers and supervisors and asked them to rank ten
identified effective factors on motivation. They analyzed this data for gender, job type
(collar), income level, age and organizational level. They found out the response for male and
female workers were not significantly different, however women put factor “full appreciation
of work” on the top. They divided the age of responder to under 30, 31-40, 41-50 and over 50
years old. They noticed that there is a significant difference between the ranks of the
motivation factors for the workers who are less than 30 years’ old and the other age groups.
These young group, (younger than 30 years old), preferences were good wages, job security,
and promotion, because they have not fulfilled their basic needs according to Maslow as older
ages. Un-skilled blue collar and white collar workers responses in motivation factors ranking
was significantly different. Blue collars selected full appreciation of the work done,
interesting work, and good wages as the most important motivation factors while white collars
showed interest in interesting work, good working conditions and appreciation of work done.
For skilled blue collars and white collars fewer differences emerged. The skilled blue collar
workers did not seem to place as much value on full appreciation of work done. In
organizational level category, lower organization level employees rated good wages first and
job security second, while middle and higher levels rated interesting work first and
appreciation of work done second. From income perspective, low income group, like young
employees rated good wages, job security and promotion in primary positions while the other
income groups rated these mention factors in middle of their list (Kovach, 1987). Beecham et
al in 2008 investigated software engineers (considered as white collars) to realize their
motivation and demonization factors. They considered rewards and incentives, development
needs addressed, variety of work, career path, empowerment/responsibility, good
management, sense of belonging/supportive relationships, work/life balance, working in
successful company, employee participation/involvement/working with others, feedback,
recognition, equity, trust/respect, technically challenging work, job security/stable
environment, identify with the task, autonomy, appropriate working conditions, and sufficient
resources as motivating factors. To recognize de-motivating factors, on the other hand, they
tested risk , stress, inequity, interesting work going to other parties, unfair reward system, lack
of promotion opportunities/stagnation/career plateau/boring work/poor job-fit, poor
communication, uncompetitive pay/poor pay/unpaid overtime, unrealistic goals/phony
deadlines, bad relationship with users and colleagues, poor working environment, poor
management, producing poor quality software, poor cultural fit/stereotyping/role ambiguity,
and lack of influence/not involved in decision making/no voice. The results introduced
general aspects of the job which motivate software engineers such as problem solving,
working to benefit others and technical challenge. Their key finding was that the published
models of motivation in software engineering are disparate and do not reflect the complex
needs of software engineers in their career stages, cultural and environmental settings.
Furthermore, they came to conclusion that that surveys are often aimed at how software
engineers feel about ‘the organization’, rather than ‘the profession’. Overall, their findings
indicated that there is no clear understanding of the software engineers’ job, what motivates
them, how they are motivated, or the outcome and benefits of motivating them (Beecham,
Baddoo, Hall, Robinson, & Sharp, 2008). Suominen et al. in 2010 reviewed nurses’ work
motivation from the perspective of staff nurses. Based on the definition of collars, because of
their tough work description, the authors have sorted them as blue collars. The findings were
based on the perspectives of 16,073 staff nurses employed by different hospitals, nursing