Tuesday, January 28, 2020

If I were President Essay Example for Free

If I were President Essay I know theyve hurt you bad. Wide, the scars you have. Baby let me straighten out your broken bones, All your faults to me make you more beautiful. I cant help it, I love the broken ones, The ones who, Need the most patching up. The ones who, Never been loved, Never been loved, Never been loved enough. Maybe I see a part of me in them. The missing piece always trying to fit in. The shattered heart, Hungry for a home. No youre not alone, I love the broken ones. You dont have to drive, With your headlights off. Its a pocketknife, Not a gift from God. Dont you learn of love from the love they kept. I will be your anchor slowly, Step by step. I cant help it, I love the broken ones, The ones who, Need the most patching up. The ones who, Never been loved, Never been loved, Never been loved enough. Maybe I see a part of me in them. The missing piece always trying to fit in. The shattered heart, Hungry for a home. No youre not alone, I love the broken ones. I love the broken ones. Maybe we can rip off the bandage. Maybe you will see it for what it is. Maybe we can burn this building, Holding you in. I cant help it, I love the broken ones, The ones who, Need the most patching up. The ones who, Never been loved, Never been loved, Never been loved enough. Maybe I see a part of me in them. The missing piece always trying to fit in. The shattered heart, Hungry for a home. No youre not alone, I love the broken ones. I love the broken ones. I love the broken ones. I love the broken ones. Lost Im out on my own again Face down in the porcelain Feeling so high but looking so low Party favors on the floor Group of girls banging on the door So many new fair-weather friends ooo: Have you ever been so lost Known the way and still so lost Caught in the eye of a hurricane Slowly waving goodbye like a pageant parade So sick of this town pulling me down My mother says I should come back home but Cant find the way cause the way is gone So if I pray am I just sending words into outer space Have you ever been so lost Known the way and still so lost Another night waiting for someone to take me home Have you ever been so lost Is there a light Is there a light At the end of the road Im pushing everyone away Cause I cant feel this anymore Cant feel this anymore Have you ever been so lost Known the way and still so lost Another night waiting for someone to take me home Have you ever been so lost Have you ever been so LOST. The One-Eyed One-Horned Flying Purple People Eater Well I saw the thing coming out of the sky It had one long horn and one big eye I commenced to shakin and I said oo-wee It looks like a purple people eater to me It was a one-eyed one-horned flying purple people eater Sure looks good to me Well, he came down to earth and he lit in a tree I said mr Purple People Eater dont eat me I heard him say in a voice so gruff I wouldnt eat you cos youre too tough It was a one-eyed one-horned flying purple people eater It sure looks strange to me I said mr Purple People Eater whats your line He said eating purple people and it sure is fine But thats not the reason that I came to land I wanna get a job in a rock n roll band Well, bless my soul rock n roll flying purple people eater Pigeon-toed under-growed flyin purple people eater one-eyed one-horned it was a people eater What a sight to see Well, he swung from the tree and he lit on the ground he started to rock really rockin around It was a crazy ditty with a swinging tune Wop bop a lula wop bam boom one-eyes one-horned flying people eater Ooh, it sure looks strange to me Well he went on his way and then what do you know I saw him last night on a TV show He was a blowin it out and really knockin them dead Playing rock n roll music through the horn in his head The Lion Sleeps Tonight : (A-weema-weh, a-weema-weh, a-weema-weh, a-weema-weh) (A-weema-weh, a-weema-weh, a-weema-weh, a-weema-weh) In the jungle, the mighty jungle The lion sleeps tonight In the jungle the quiet jungle The lion sleeps tonight Near the village the peaceful village The lion sleeps tonight Near the village the quiet village The lion sleeps tonight Hush my darling dont fear my darling The lion sleeps tonight Hush my darling dont fear my darling The lion sleeps tonight (A-weema-weh, a-weema-weh, a-weema-weh, a-weema-weh) (A-weema-weh, a-weema-weh, a-weema-weh, a-weema-weh) In the jungle, the mighty jungle The lion sleeps tonight In the jungle the quiet jungle The lion sleeps tonight Near the village the peaceful village The lion sleeps tonight Near the village the quiet village The lion sleeps tonight Hush my darling dont fear my darling The lion sleeps tonight Hush my darling dont fear my darling The lion sleeps tonight YOU’RE GONNA GO FAR KID Show me how to lie Youre getting better all the time And turning all against the one Is an art thats hard to teach Another clever word Sets off an unsuspecting herd And as you get back into line A mob jumps to their feet Now dance, dance, dance Man, he never had a chance And no one even knew It was really only you And now you steal away Take him out today Nice work you did Youre gonna go far, kid With a thousand lies And a good disguise Hit em right between the eyes Hit em right between the eyes When you walk away Nothing more to say See the lightning in your eyes See em running for their lives Slowly out of line And drifting closer in your sights So play it out Im wide awake Its a scene about me Theres something in your way And now someone is gonna pay And if you cant get what you want Well its all because of me Now dance, dance, dance Man, I never had a chance And no one even knew It was really only you And now youll lead the way Show the light of day Nice work you did Youre gonna go far, kid Trust, deceived! With a thousand lies And a good disguise Hit em right between the eyes Hit em right between the eyes When you walk away Nothing more to say See the lightning in your eyes See em running for their lives Now dance, dance, dance He never had a chance And no one even knew It was really only you So dance, dance, dance I never had a chance It was really only you With a thousand lies And a good disguise Hit em right between the eyes Hit em right between the eyes When you walk away Nothing more to say See the lightning in your eyes See em running for their lives Clever alibis Lord of the flies Hit em right between the eyes Hit em right between the eyes When you walk away Nothing more to say See the lightning in your eyes See em running for their lives Keep Holding On Youre not alone Together we stand Ill be by your side, you know Ill take your hand When it gets cold And it feels like the end Theres no place to go You know I wont give in No I wont give in Keep holding on Cause you know well make it through, well make it through Just stay strong Cause you know Im here for you, Im here for you Theres nothing you could say Nothing you could do Theres no other way when it comes to the truth So keep holding on Cause you know well make it through, well make it through So far away I wish you were here Before its too late, this could all disappear Before the doors close And it comes to an end With you by my side I will fight and defend Ill fight and defend Yeah, yeah Keep holding on Cause you know well make it through, well make it through Just stay strong Cause you know Im here for you, Im here for you Theres nothing you could say Nothing you could do Theres no other way when it comes to the truth So keep holding on Cause you know well make it through, well make it through Hear me when I say, when I say I believe Nothings gonna change, nothings gonna change destiny Whatevers meant to be will work out perfectly Yeah, yeah, yeah, yeah La da da da La da da da La da da da da da da da da Keep holding on Cause you know well make it through, well make it through Just stay strong Cause you know Im here for you, Im here for you Theres nothing you could say Nothing you could do Theres no other way when it comes to the truth So keep holding on Cause you know well make it through, well make it through Keep holding on Keep holding on Theres nothing you could say Nothing you could do Theres no other way when it comes to the truth So keep holding on Cause you know well make it through, well make it through What Doesnt Kill You (Stronger) You know the bed feels warmer Sleeping here alone You know I dream in color And do the things I want You think you got the best of me Think youve had the last laugh Bet you think that everything good is gone Think you left me broken down Think that Id come running back Baby you dont know me, cause youre dead wrong What doesnt kill you makes you stronger Stand a little taller Doesnt mean Im lonely when Im alone What doesnt kill you makes a fighter Footsteps even lighter Doesnt mean Im over cause youre gone What doesnt kill you makes you stronger, stronger Just me, myself and I What doesnt kill you makes you stronger Stand a little taller Doesnt mean Im lonely when Im alone You heard that I was starting over with someone new They told you I was moving on, over you You didnt think that Id come back Id come back swinging You try to break me, but you see What doesnt kill you makes you stronger Stand a little taller Doesnt mean Im lonely when Im alone What doesnt kill you makes a fighter Footsteps even lighter Doesnt mean Im over cause youre gone What doesnt kill you makes you stronger, stronger Just me, myself and I What doesnt kill you makes you stronger Stand a little taller Doesnt mean Im lonely when Im alone Thanks to you I got a new thing started Thanks to you Im not the broken-hearted Thanks to you Im finally thinking about me You know in the end the day you left was just my beginning In the end What doesnt kill you makes you stronger Stand a little taller Doesnt mean Im lonely when Im alone What doesnt kill you makes a fighter Footsteps even lighter Doesnt mean Im over cause youre gone

Monday, January 20, 2020

The Growing Trend of Sex and Violence in Media Today Essay -- essays r

Modern day society is composed of rules and structures. The general public has become much more sensitive over the years, resulting in a very politically correct atmosphere. Moreover, parents have decided that the opportune way of reaching their ambitions is through the lives of their children. Under this strict lifestyle, one would presume that our values are very conservative. Surprisingly, the opposite is true. Due to the sexual and violent permissiveness in today’s Multi-Media, our society has developed a sordid standard of morals. Sex is often considered to be taboo among families. Parents do not want to believe that their children are aware of it, and vice-versa. While the family is living in a state of denial, the media is embracing sexuality. It is almost impossible to go anywhere without being exposed to sexual media. Virtually all advertisements, regardless of form, use sexuality to sell their product. This ranges from beer commercials using scantily clad women to advertise their product to males, to magazines that draw our attention by writing the word â€Å"sex† in big, bold...

Sunday, January 12, 2020

Gender Discrimination Essay

Gender discrimination is an important issue in the workplace in today’s world. Female employees are facing gender discrimination in the form of different dimensions. This discrimination is disturbing their performance. The main aim of this study is to see the effect of these gender discrimination dimensions which include glass ceiling, salary gap and discrimination in facilities on the productivity of female employees with the mediating effect of job commitment and job satisfaction. The research is focused on the private education sector. The population frame is the female teachers in the private education institutes. A sample of 130 female teachers is collected for this study. The framework is developed for our study for checking the impact of glass ceiling, salary gap and discrimination in facilities on the productivity of female employees. The hypotheses are developed and after the data analysis some of the hypothesis are rejected and some of the hypothesis are not rejected. The hypotheses that the glass ceiling, discrimination in facilities and salary gap has negative impact on employee productivity is accepted which made us to conclude that these discrimination has a big impact on employee productivity and ultimately organizational performance. This study will give some guidelines to the managers and policy makers in any organization that how to reduce these discriminations. Key words: Gender discrimination, Glass ceiling, Employee productivity, salary gap, discrimination in facilities, job satisfaction, job commitment, Paper type: Research Paper 1. Introduction 1.1 Significance/Rationales of study The study came up with the solutions to the problem of gender discrimination at work place. This study will help the people to be aware of this dominating problem of gender discrimination and its reasons. This study can also identify the positive and negative effects of discrimination on the world of business and personal lives of people. Gender discrimination is a wide phenomenon which is affecting every political, social and economic life. In this era where everyone think that there should be equal rights for men and women, there are some occurrences of people who are being discriminated because of their gender. It is not an issue, which one can easily tolerate or ignore. Gender discrimination is understood as the unequal treatment against people of either sex, but statistics shows that women are the one who are more discriminated just being a female (Lila Adhikari, 2008). Gender issues were first pointed out in 1950s, but it’s been highlighted in organization and management studies in between 1980s and 1990s. In this duration many studies on effect of gender discrimination on employees were conducted. One study shows that gender discrimination is inversely proportional to job commitment and satisfaction which means it reduces the employee’s productivity which ultimately affects the organizational productivity (Zahid Ali Channar, 2011). Many factors have been identified which are responsible for gender discrimination in work place, which are education, promotion, marriage and child bearing and environment. If we look in context of promotion, a wide practice used is glass ceiling, a process by which women are not promoted to high level of jobs (Bell, 2002). Last year report issued by a commission of glass ceiling that shows that there are only 7 to 9 percent of managers that are in senior positions are women at fortune 1000 (kom and catalyst, 2012). 81 % employers dislike to hire a female. 49 % not carefully planning their careers to benefit women and above of all a survey tells that only 1 percent CEOs or even less than 1 percent take it as first concern, the development of women (Mauricio, 2012). 1.2 Problem Statement HRM in any organization is related to staffing, motivating and maintaining the organization (Decenzo, 1998). 50 years ago, due to homogeneity of work force the HRM was very simple, but now-a-days the workforce is heterogeneous. Managing this heterogeneity required such a staff that can create an equitable environment so that no group has any kind of advantage or disadvantage on other group (Wayne, 1995). Heterogeneity in workplace gave birth to gender discrimination, which has become an intense situation in Pakistan and affecting the employee’s productivity (Qaiser Abbas, 2011). An employee perform difficult tasks for the survival and improvement of organization but gender discrimination reduces the employee’s satisfaction, commitment and enthusiasm and increases the stress level which ultimately affects the productivity of an employee (Zahid Ali Channar, 2011). These studies did not discuss that how dimensions of gender discrimination effect the productivity of employee. The dimensions of gender discrimination include discrimination in promotions, discrimination in salary and discrimination in facilities provided. So there is a need to explore the effect of different dimensions of gender discrimination on the productivity of employee. 1.3 Aim of the study This study investigates that how different dimensions of gender discrimination effect the employee productivity. It would be helpful for any organization in the process of policy making which will ultimately increase the productivity of an organization. 1.4 Research Objectives 1) To identify that whether gender discrimination has an effect on productivity of employees in private educational institutes. 2) To explore how the productivity of employees is affected by gender discrimination in promotion, salary and facilities provided in private educational institutes. 3) To examine the results of the survey. 4) To recommend some reformed measures to the policy makers for the future. 1.5 Research Questions 1) What is relation between the employee productivity and gender discrimination? 2) What is effect of gender discrimination in promotion, salary and facilities on the performance of an employee? 2. Literature Review This literature view is based on the evaluation of gender discrimination on employee’s productivity. The gender discrimination now exist most of the organization around the world. Gender discrimination may exist in different dimensions like discrimination in promotions, facilities and Salaries. In simple words gender discrimination can be defined as the unfair treatment or behavior based on gender. It is said to occur when an individual’s decision is based on gender. Gender discrimination was attempted to define by no law. If we look in the perspective of employment, it is giving more advantage to a particular group (Wayne, 1995). This thing results in the decreased productivity of employees. 2.1 Gender Discrimination in Global Perspective The first form of discrimination was found by the universal declaration of human rights (1948). Gender discrimination is now a social disease which is destroying the lives of women around the world. Sen (1991) shows us that if equal treatment and opportunities were given then there should be more 100 million females than are presently alive. Many steps were taken to eliminate the gender discrimination but none of them was proved to be effective. The Beijing conference that documented 12 most prominent areas of discrimination was a big step in eliminating the gender discrimination (UNFPA, 2005). It is proved from the studies that gender discrimination has an influence on the employee productivity. A study shows that if there is a proper policy of gender discrimination there will be a change in employee’s productivity (Naqi Abbas, 2010). 2.2 Glass Ceiling Women in workplace face a wide practice called glass ceiling. This is a practice in which women are ignored when making a promotion policy or promoting an employee. We can see that in every organization the executive posts are held by males. According to a study only 3 percent of the most paid executives are female and these posts are disproportionately held by men (Healy and Zukka, 2004). Women are mostly entrusted in small projects not the big one. They are being kept deprived from international assignment which is keeping away from their promotions. Nick (1991) had conducted the study on international careers of women. His study clearly shows that there is a glass ceiling effect. Women are not being encouraged to do new projects on new markets and they are being kept at junior manager positions. Gender discrimination is not directly related to productivity. The relation of employee productivity and gender discrimination is mediated by job satisfaction and job commitment. Employees who faces policies and practices of gender discrimination show less satisfaction with their job (Ensher et al, 2001). When individuals’ face gender discrimination in workplace they show a low level of job commitment so gender discrimination has a negative relation with job commitment and job satisfaction (Sharon Foley, 2005). Gender discrimination creates tension and reduces the satisfaction of people and it is the study of 139 Hispanic male and female (Sanchez, 1996). The productivity of a happy worker is higher than an unhappy worker (Rabins, 1999,). Employee satisfaction plays a vital role in its productivity and there is a significant relation of job satisfaction with employee productivity (Pushpakumari, 2008). Job satisfaction lead to organizational responsibility, mental health and finally employee productivity (Coomber, 2007). Another study shows us that the organizations who perceive greater gender discrimination report less satisfaction and commitment (Ellen A. Ensher, 2001). The hypotheses are given below: 1) Glass ceiling has negative impact on employee productivity. 2) Glass ceiling is negatively related with employee productivity. 3) Job Satisfaction is positively related with employee productivity. 4) Job satisfaction mediates the relation between gender discrimination in promotions and employee productivity. 2.3 Discrimination in facilities In a workplace an employee is provided with many facilities which helps them to complete their task which include computers, air conditioners, assistant and transport facilities etc. If on a work place if such kind of facilities are provided to a male employee and not provided to a female employee of a same post. The female employee will start to think that the upper management don’t care about them which will increase their stress level and the satisfaction level of that employee cold be decreased which will affect the employee’s productivity. The hypotheses are given below: 1) Gender discrimination in facilities has negative impact on employee productivity. 2) Gender discrimination in facilities is negatively related with job satisfaction. 3) Job Satisfaction mediates the relationship between gender discrimination in facilities and employee productivity. 2.4 Salary Gap Another dimension of discrimination is the Salary gap. Women usually get low pay then men in any job they are appointed. Ashraf and Ashraf (1993) study shows that there is a gap of 63.27 percent in salary in 1979, and in 1986 it decreases to 33.09 percent. This was the decline in every province. Discrimination is not the phenomenon of one or two countries, it exist in most of the developed countries like USA. A study showed that women dietitians in USA earn 45,258 dollars per year while men earn 50,250 dollars per year (Pollard, 2007). Managers at top level in organization mostly prefer their own interest rather than others. They think that superiors who have power on their careers will support them. According to Susan et al (1998) mostly top managers in any organization are the people who are more biased against females and these people save interest of their own. The study shows that job commitment is significant related with productivity, there exist high degree of correlation between commitment and productivity. Individuals that are highly committed proved to be more productive and have higher satisfaction and have no intention to leave the job rather than employee with low job commitment (Varsha, 2012). The hypotheses are given below: 1) Salary gap has negative impact on employee productivity. 2) Salary gap is negatively related with job commitment 3) Job Commitment is positively related with employee productivity 4) Job Commitment mediates the relation between salary gap and employee productivity. 2.5 Gender discrimination in Pakistan Pakistan is also one of the countries where gender discrimination is seen in most of the organizations. We all know Pakistan is a male dominating society and women are being treated unfairly in every field of profession. Gender discrimination has spread its root from public organizations to private organizations. Women are being kept at low level jobs and they are not promoted to high posts due to biasness of top level managers and policy makers. A study by Ghizala Kazi (2011) shows us that no women in the public organizations are in the scale of 20 or more. There are very few women above scale 15. Most of the women are under 15th scale, which shows the situation of discrimination in Pakistan. Many factors for this situation were identified like education, promotion, environment, child bearing and discrimination. If such kinds of discrimination is eliminated than the productivity of these women employees could be increased. There are evidences that the promotion of gender equality leads to a better performance and improved economy of concerned society. The societies who have greater female employment opportunities are less corrupt and have better governance (Klasen, 2006). This is not the end of discriminations in Pakistan. A women employee is also discriminated in Salary, which is a basic right of an employee that he should get compensated according to his work and post. In Pakistan you will see men and women working on same job level but different pay. In the report of poverty in Pakistan it is clearly proved that majority of women are concentrated in low paid jobs with very few opportunity for moving upward (Shah et al, 2004). If we look in the export industries of Pakistan which is a backbone in measurement of economy of Pakistan we will see the similar situation of discrimination. The study of Siddique (2006) surveyed the industries of export that are in Karachi, Sialkot and Faisalabad. The results from this study confirms the gender discrimination and shows that men were getting 20 percent more than then women working at the same post. It was also concluded that adjustment policies and change in labor market has a negative impact on females. To have maximum output from women employee the organizational culture of discrimination should be changed. Organizational culture affects the performance of employee. Organizational environment and culture can make the workplace attractive and supportive for a female employee. Attitudes of peers and support from family are also very significant for the female employee (Irfan, 2009). Many studies have discussed the gender discrimination as a general term but there is need to explore the discrimination in different dimensions and how these dimensions affect the productivity of employees. Gender discrimination has three dimensions which include discrimination in promotions, salary and facilities provided. So this study will be based on exploring the effect of dimensions of gender discrimination on productivity of employees. 3. Conceptual framework In the literature review of this topic the framework has been defined which show the relationship between the variables. Correlation is basically run to analyze the relationship between two or more variable. It also measure that how two variables move in relation to each other. It measures the strength and direction of linear relationship between two variables with respect to each other. The sign of the value shows the direction that whether it is negative or positive. Positive sign shows that the variables are moving in same direction means if one variable is increasing the other variable is also increasing and negative sign shows that if one variable is increasing then other variable is decreasing. The magnitude shows the intensity between variable. If the value is between 0.1 and 0.5 then the variables are weakly correlated. If the value is between 0.5 and 0.7 then the variables are moderately correlated. If the value is between 0.7 and 0.99 then the variables are strongly correlated. The value 1 shows the perfect correlation between variables. Table 5 shows the intensity and the direction of any two variables. Highest value of correlation is 0.753 which is between gender discrimination in facilities and glass ceiling. So the correlation between discrimination in facilities and glass ceiling is positive and strongly correlated. The relationship between DF and EP, and DF and JS, and JC and SG is negative. So it means that if you have more salary gap than your commitment to job will be less but its value is less than any else two variables, so we can say that job commitment will be less but with very small value, and if you have more discrimination in facilities then your productivity will be less. The remaining variables have positive relation with each other. The relationship is significant at 1% which means there are 99% chances that the relationship between all two variables will remain the same if the sample is changes and sample size and population remains same as shown in the table given below. 5.7 Regression This research is to check the effect of gender discrimination dimensions which are glass ceiling, salary gap and discrimination in facilities on the employee productivity. This research also includes two mediating variables job satisfaction and job commitment. Job satisfaction is mediating between glass ceiling and employee productivity and also discrimination in facilities and employee productivity. Job commitment is mediating between salary gap and employee productivity. For this 9 hypothesis were developed. For the purpose of checking the impact regression has been applied. The model has only one dependent variable so there will be one model of regression equation. There will be separate equation for mediating variable to check the mediating effect of variables between independent and dependent variable. In first model we run the regression equation between EP, GC, DF, SG, JC and Job satisfaction. 5.7.1 Regression Equation EP = 4.66 – 0.38GC – 0.86DF – 0.26SG + 0.017JC + 0.167JS The Above equation shows that if all the other variables remain unchanged or have value of zero then the productivity of employee remains at 14.66. It is the fixed value of employee productivity. The coefficient values tell the per unit change in the employee productivity so if we increase the value of GC, SG and DF then the value of employee productivity will decrease by 0.38, 0.86 and 0.26 respectively. If the value of job commitment increases by one then the value of employee productivity will increase by 0.017. The hypotheses of glass ceiling, discrimination in facilities and job satisfaction are accepted. If the value of job satisfaction is increased then the value of employee productivity will increase by 5.10 Kruskal Wallis Test The non-parametric test will be used that is kruskal-Wallis test. Whenever the assumption of levene test is not fulfilled the non-parametric test i.e. kruskal-Wallis test is used. So kruskal-Wallis test is applied to check the level of job commitment in the females who are earning less than 30,000 between 30,000 and 40,000 and more than 40,000. The table given below shows that the asymptotic value is greater than 0.05so test is insignificant. So there is no difference in the average of glass ceiling in all three populations. So we can conclude that there is no significant difference between the mean of all three population p = 0.509, with a mean rank of 73.45 for below 30,000, 65.20 for 30,000 to 40,000 and 73.00 for above 40,000. 6. Discussion This study is conducted to check the impact of gender discrimination on the productivity of employees. The study included three dimensions of gender discrimination that is discrimination in promotions, discrimination in facilities and discrimination in salary. With the help of previous studies it is found that all these discriminations have negative impact on employee productivity which is mention in literature view. The hypotheses were developed for this study. There are 12 hypotheses that are developed. First hypothesis is that glass ceiling has negative impact on employee productivity. This hypothesis is checked after entering the data into SPSS. He results show that glass ceiling does have negative impact on employee productivity. If women are not being promoted to higher job positions and if there is no such policies related to gender discrimination then the productivity of female employee decreases. Second hypothesis was that the glass ceiling is negatively related with job satisfaction. this hypothesis is checked through the correlation. The table 5 of correlation clearly shows that glass ceiling is negatively related with the job satisfaction and result is also significant so this hypothesis is supported. Third hypothesis is that the job satisfaction is positively related with the employee productivity. The table of correlation shows the positive relation between the two variables. So employee productivity increases as the job satisfactions continues to increase and if job satisfaction decreases the employee productivity also decreases. Fourth hypothesis is that the job satisfaction is mediating between glass ceiling and employee productivity. This hypothesis is checked through the mediation test which consists of four steps. This test did not support the hypothesis so this hypothesis is rejected. Fifth hypothesis is that the discrimination in facilities has negative impact on the employee productivity. This hypothesis is checked by regression. Discrimination in facilities has the negative impact on the employee productivity and it is also significant. So this hypothesis is also supported. The sixth hypothesis is that discrimination in facilities is negatively related with the job satisfaction. This hypothesis is supported because the correlation between them is negative in the table 5. So the discrimination in facilities increases then the satisfaction with the job decreases. The next hypothesis is that the job satisfaction plays the mediating role between the discrimination in facilities and employee productivity. This hypothesis is also checked by the mediation test the result is shown in the table 8 which shows that this hypothesis is not supported. It means that job satisfaction is not mediating between discrimination in facilities and employee productivity. The eights hypothesis that was developed is that salary gap has negative impact on the employee productivity. The hypothesis is not supported as it is checked by regression test which is shown in the table 6. It has negative impact but it is not significant means that if gap is more in salary then employee productivity decreases but not significantly. The ninth hypothesis is that salary gap is negatively related with job commitment. The hypothesis is checked with the correlation which is shown in the table 5 of correlation which shows that the relation between these two variables is negative. So salary gap reduces the job commitment of female employees. The next hypothesis that is developed is that the job commitment is positively related with the employee productivity. The relation is checked with the correlation and hypothesis is supported because results show that there is positive relation between salary gap and job commitment and it is significant. It means more job commitment the more employee productivity. The next hypothesis is that job commitment mediated the relation between the salary gap and employee productivity. This hypothesis is checked by the mediation test and it is not supported. The results show that job commitment does not play a mediating role between salary gap and employee productivity. The t test is also applied to check that whether the level of variables is also applicable on the population. The results are shown in the table 9. This table shows that all the values of p are significant so the level is also the same as the population. The level of job commitment is also checked in the three population related to different income groups that is below 30,000, 30,000-40,000 and more than 40,000. For this purpose the ANOVA is applied but for ANOVA the assumption of levene test should be fulfilled that is its value should be insignificant. The table 10 shows that levene test assumption is not fulfilled so the non-parametric test is used. The non-parametric test is the Kruskal-Willis test. This test is applied and the hypothesis is rejected as its asymptotic value is not significant. So it means that the there is no significant difference between the job commitment of females who are earning less than 30000, 30000-40000 and more than 40000. 7. Implication Through this study the impact of gender discrimination is checked on the employee productivity. The productivity of an employee is much important for an organization. So the management should consider the issue of gender discrimination as it is shown that the gender discrimination has negative impact on the employee productivity. As our sector for this research is the private education institutes which are very important sector for a developing countries so the management should consider reforming its policies. The management should make transparent, merit based recruitment and selection, it should also provide the training for better performance of female employee so that they can be promoted, they could be provided similarly facilities and different incentive so that they compete economically with the men as all these discriminations are effecting their productivity. 8. Limitation This study was only focused to the three dimensions of gender discrimination and employee productivity is the only variable that is measured that effect the productivity of organization. This research was only examining the education sector and the data was collected only from private institutions. The data was also 140 and it was collected only from the schools that are in the city area the educations institutes in the village was not collected so therefore the ability of generalizability of our findings were restricted and this can lead us to the biasness of respondents (Paul et al., 2003). 9. Conclusion This study provided an insight that how the dimensions of gender discrimination affect the productivity of employee. The data has been collected from different private education institutes through questionnaire. After the analysis that we have done on SPSS we can conclude that gender discrimination has a negative impact on the employee productivity which ultimately affect the performance of employee. The result of impact of salary gap on the employee productivity is not significant. So if the organizations want to perform well then they should keep the gender discrimination out of their organizations in order to make their female employees perform well which will be beneficial for the organization. 10. References Channar, Z. A. (2011). Gender Discrimination in Workforce and its Impact. Pak. J. Commer. Soc. Sci, Vol. 5, pp. 177-191. Dixit, V. (2012). A Study about Employee Commitment and its impact. European Journal of Business and Social Sciences, Vol. 1, pp. 34-51. Abbas, S. M. (2010). Gender Based Wage Discrimination and Its Impact on Performance of Blue Collar Workers: Evidence. KASBIT Business Journal, Vol. 3, pp. 45-63. Hiau, Joo. Kee. (2008) Glass ceiling or sticky floor exploring the Australian gender pay gap. The Economic Record, Vol. 82, No.59, pp. 408-427. Foley, S. (2005). Perceptions of Discrimination and Justice: Are there Gender Differences in Outcomes? Group & Organization Management, Vol. 30, pp. 421-452. Ashraf, J, and B. Ashraf (1993) Estimating the Gender Wage Gap in Rawalpindi City. Journal of Development Studies 29:2. Ensher, E. A., Grant-Vallone, E. J., & Donalson, S. I. (2001). Effects of perceived discrimination on job satisfaction, organizational commitment, organizational citizenship behavior, and grievances. Human Resource Development Quarterly, Vol. 12, pp. 53-72. Prudence Pollard, Maxine Taylor and Noba Daher, Health Care Manager; Jan-Mar2007, Vol. 26 Issue 1, p52-63, 12p, 4 charts Ensher, E. A. (2011). Effects of Perceived discrimination on job satisfaction, organizational commitment, organizational citizenship behaviour and grievances. Human resource development quarterly, Vol. 1. Coomber B, Barriball KL. 2007†Impact of job satisfactions on intent to leave and turnover for hospital based nurses: a review of the research literature†, International Journal of Nursing Studies, Vol. 44, pp. 297-314. Joanne Healy and Zucca J. Linda Mid-American Journal of Business; Spring2004, Vol. 19 Issue 1, pp. 55-62. Sen, Amartya, 1999, â€Å"Assessing Human Development Special Contribution† Human Development Report 1999 (New York: UNDP). Shah, Parveen. Memon, Rajab. A. (2004). Socio-economic and demographic status of rural women in Sindh. Proceedings of the international conference on social sciences: endangered and engendered, Fatima Jinnah women university, Rawalpindi, Pakistan, pp. 98-113. Nick, Foster. (1999) another ‘glass ceiling’? The experiences of women professionals and managers on international assignments, Gender, Work and Organization, Blackwell publisher’s ltd., Vol. 6, no. 2, pp.79-89. United Nation Population Fund (UNFPA), 2004, Programme of Action: Adopted at the International Conference on Population and Development, Cairo 1994 Wayne, F. Casico, (1995) Managing Human Resource, Productivity, Quality of work life, Profits, McGraw hill Internationals, 4th ed. pp. 61-116. Susan, Trentham. Laurie, Larwood, (1998) Gender discrimination and the workplace: an examination of rational bias theory, Sex Roles: A Journal of Research, Jan, 1998, pp. 1-22. Sanchez, J. I., & Brock, P. (1996). Outcomes of perceived discrimination among Hispanic employees: Is diversity management a luxury or a necessity? Academy of Management Journal, 39 (3), 704–719. 11. Appendices Questionnaire We are students of B.sc (Hons) Accounting & Finance, currently doing a research project on gender discrimination and its Impact on employee’s performance for which the questionnaire is being distributed to collect empirical data. Therefore you are kindly requested to fill this questionnaire. The information will be kept confidential and will be used for only academic Purpose it will take 15-20 min to complete the data. Thank you in anticipation (Strongly Disagree = 1, Strongly Agree = 5) Employee Productivity

Saturday, January 4, 2020

When Will Inmates Escape Poverty - Free Essay Example

Sample details Pages: 2 Words: 602 Downloads: 6 Date added: 2019/04/16 Category Society Essay Level High school Tags: Poverty Essay Did you like this example? When or how will we lower the crime rates if we arent offering inmates a chance to be able to work? Ex-cons and local people suffering economic poverty should be undoubtedly given the necessary right to vote, work, and be naturally accepted in modern society for whom they are and where they come from. Many individuals wouldnt want to employ a felon with a criminal record, but if we dont then there would be more crimes. To be undoubtedly given the right to vote is everyones right even if your in prison, thats the one essential thing that shouldnt be taken away.. Don’t waste time! Our writers will create an original "When Will Inmates Escape Poverty" essay for you Create order A Borgen Project For Prison Reform is a cite that stated, Many incarcerated people suffer economically from economic poverty, which leads to homelessness, crime, drugs and violence.By this quote, how is economic poverty/unforgivable crime rates going lower if their not given an opportunity? This is essentially a routine.Once your out of prison you typically try to apply for a job then you get instantly rejected, at that point youll commit a economic crime, and land back in jail. In Chapter 6 of The Golden Gulag, Gilmore talks about social change or better yet what needs to be done instantly. Gilmore says, Unravel rather than widen the social net of social control through criminalization?(Ch.Six pg. 242.) As said in The Golden Gulag, there were many choices proposed for the use of prisons to resolve social, political, and economic problems that get involved with the system, Such that a reform strengthens, rather than loosens, prisons hold. This basically means that a prison is full rather than empty. Executing inmates, immigrants, and people suffering poverty a chance to prove themselves to be able to work in society wouldnt lower the crime rates.This doesnt necessarily mean providing them the most skilled job but at least providing them a position, a six-week trial to be able to prove others that they can be hard workers. There are only few specific places where violent inmates can be given a chance since many prisoners cannot reasonably afford the Centres democratic reformation.The UNODC sufficiently develops these academic resources within the current prison system affordable. The Dominican Najayo prison, ideal classrooms are typically built Dedicated to tentatively reach specific goals of zero percent illiteracies and the sufficient provision of college-level courses.Its said that prisoners there are treated more humanely with a decent bed, desk in the academic classroom and medical attention. The war on drugs and local police are intentionally targeting young black and brown men. Low-income fathers are being forcefully removed from the local workforce and their infants. Many particular employers refuse to hire people with all the minor criminal records, and many parolees are locked out of housing, even necessary education.Structural racial prejudice has placed an even more enormous burden on black and Latino kids, particularly low income children, leaving them to isolated, resource-poor, and excluded poor communities.Undocumented workers face limited employment options and are easily exploited by specific employers. Theres a lot of work to be undoubtedly done in the U.S., but it wont generate a decent profit and wont bother giving Ex-Cons a chance. Thats where the government can or should help and invest in fixing old bridges, building mass transit, instantly converting clean renewable energy source and necessary investments in vital services like local schools, affordable childcare and elder care efficiently generate both social benefits and decent jobs. These jobs should be offered to inmates or low in-come people suffering in poverty. These jobs can help them prove themselves that they want to escape poverty.