Middle Career Trap

The aim of the paper is to study the middle career trap for white collar worker. The research will be focused on the challenges which are faced by middle management. We will use the qualitative method on the analysis. The sample are 50 midlle managers who have more than 10 years working experience. The analysis will be faced to faced interview basis. The empirical results show that more than 10% of the middle managers are facing financial problem due to life style and family issues. There is a trap for the manager to improve their capabilities due to financial problem. The trap become a hurdle for the manager to promote to next level.

An Examination of the Distribution of White-Collar Worker Residences in Tokyo and Osaka during the Modernizing Period

This paper sheds light on the residences of white-collar workers in Tokyo and Osaka, Japan in the modernizing period using historical statistical data and telephone directories from a historical geographic information system (GIS) analysis. We examined the differences between the distribution of white-collar workers and the progress of suburbanization by comparing the respective unemployment censuses and telephone directories of Tokyo and Osaka. The analysis shows that in 1925, there was a tendency for many white-collar workers to live in certain city sectors, as well as in the city center. However, this trend had changed by the mid-1930s, when data show that private-sector white-collar workers tended to live more in areas with a relatively low population density. Compared to Osaka, Tokyo was relatively suburbanized with white-collar workers in private companies.

Influence of previous work experience and education on Internet use of people in their 60s and 70s

BackgroundInternet use among the elderly is influenced by various demographic backgrounds, social life and health factors.ObjectiveThis study aims to identify the impact of several demographic features on 60- to 79-year-old individuals’ intention to use the Internet.MethodFinland population data (N = 2508) from the 2012 IKIPOSA project was used with two cohorts: 60s group (n = 1515) and 70s group (n = 990). Descriptive statistic and two binomial logistic regressions have been used with the unadjusted effect and Forward LR method to measure each predictor’s contribution to the model. In addition, a preliminary analysis to measure the multicollinearity was performed.ResultOf the 18 independent variables, only nine predictors, namely, age, education, financial situation, having children, entrepreneurship, a leadership position, a higher level white-collar worker and a lower level white-collar worker, were significant factors in predicting the Internet use. Meanwhile, gender, having grandchildren, living alone, marital status, house location and type, stay-at-home mother or father, blue-collar worker, agricultural entrepreneur and social relations satisfaction were not significant predictors. The most significant predictors were education and age, which contributed 19% and 10%, respectively, to the model. Other significant predictors, lower level white-collar worker, higher level white-collar worker and financial situation, had less impact with only around 6%.ConclusionEducation and age were influential factors among elderly to use the Internet in their later life. Certain work experiences affect elderly people’s engagement with the Internet after retirement.

Evaluation of the Current States of Older Employees: The Case in Ankara

This study was performed on the older employees who work in small and medium sized enterprises in Ankara in Turkey. This study involved a survey consisting of 16 questions that applied to the employees. 61 females and 103 males within a total 164 employees who were aged over 55 participated in the survey. Current situations which were about the demographic structures, working conditions, problems of workplace and health problems of the employees, were determined by the survey. 63% of the employees consist of workers who were previously entitled to pension. Moreover 64% of the employees were aged 55-59, 27% were 60-64 and 9% were over aged 65. There are no female employees aged over 65. All of the retired employees stated that their salaries were insufficient to meet the needs. 13% of the participants were white-collar worker, 50% of them have worked in the jobs needing physical power. 20% of the participants said that they benefited from their previous experiences. 69% of the employees complained about a chronic disease. There were no employees who work although it is prohibited due to the health problems. 14% of the employees stated that they will continue to work even if they have adequate financial means and none of them were female. It is observed that generally older employees encounter many problems. It is observed that it would be wrong that older employees were isolated from their work environments by improving their opportunities. Absolutely it should be exploited from the personal experiences of these employees.

Is the White-Collar Worker the Forgotten Man ?

The "White-Collar" class composed mostly of office workers although not too much known or spoken of constitutes an interesting group in our society, but unfortunately, has not kept pace with the cost of living or wages of plant workers. From this situation serious problems arise which can be studied by the employers themselves; they can be solved if the principles applied to the ordinary worker are also applied, with some little differences, to the clerical worker himself. This is what the author wants to explain briefly in giving some suggestions.

IDENTIFIKASI KEBUTUHAN PELANGGAN DALAM PERANCANGAN DAN PENGEMBANGAN KONSEP TAS BACKPACK YANG ERGONOMIS DAN MULTIFUNGSI

<p>Backpack is one of the most attractive bag because of its excellence in the load management.<br />Preliminary research conducted in the productive age segment (17-40 years) respondents showed that<br />the majority (53 percent) were dissatisfied with the existing backpack. Then narrowed the market<br />share in the segment of students and white collar worker who required high mobility. Customer<br />identification was conducted by several questionnaires. There were 6 primary needs and 21 target<br />specification which connected on needs metric matrix.</p>