Leadership and Organizational Dynamics for Shell Downstream

Question: Discuss about theLeadership and Organizational Dynamics for Shell Downstream. Answer: As an executive of Shell Downstream, I would try to take various types of financial assistance for the company. The right of the people must also be fulfilled and the people must also be allowed to control their own property. The process must be participatory and it must include various stakeholders. It is also necessary for me to monitor and track the progress and thus confirm whether the objectives are met. I must also ensure that the investment will continue to lay a positive impact on the local community of South Africa. It is also essential that there is sustainability in providing the required energy for the growing population of the country and their safety. It is also necessary for the company to deliver the energy safely and to protect the environment. This will help in protecting the contractors, employees and the local communities. The radical economic transformation will also turn the investors of the company (Yulk 2005). Shell Downstream is trying critically to achieve r adical economic transformation. As an executive of the company, it is my responsibility to entrench the overall policy of the government and plan the key challenges of industrial and economic growth. This will help in the removal of poverty, unemployment and inequality among the people. This is important for the inclusive growth of South Africa. There must be new initiatives which are regarded as part of the various concentrated efforts and this is necessary to shift the productive base of the economy for the creation of decent and sustainable jobs. There must be upscale efforts for the inclusive and the shared growth and this is necessary for the control of management and transformation of different kinds of ownership. Shell also needs to restructure the business and change it so as to gain the position in the market. It is trying to retain the position of largest chemical and energy company and this is offering an adequate return to the shareholders in an increasing pace (Bryman 2 013). The radical economic transformation will help me in putting the coherent initiatives in a similar way and it will also help in shifting the productive base of the economy to much higher level of investment. There are some steps which are needed to be followed and this will also help in reducing the corruption. The social investment opportunities of Shell will also provide the people certain development programmes and this has helped them to combat unemployment and poverty levels. This has helped in improving the safety measures of the children who are travelling through different modes of transport. It is my duty as an employee to co-ordinate and collaborate with the other partners and thus this will help in the assistance of the children. It will also help in creating more employment opportunities such as direct employment or through various supply chain activities. It will also help in providing additional training programme and thus help in stimulating the business. Thus, it can b e said that as an employee it is necessary and vital to provide proper medical training to the people. The challenges must also be met in assistance with the partnerships from other organization (Storey 2004) References Bryman, A. ed., 2013.Leadership and organizations. Routledge. Storey, J. ed., 2004.Leadership in organizations: Current issues and key trends. Psychology Press. Yulk, G., 2005. Leadership in Organization. Pearson Publication India.

Statistical Analysis

Question: Write an essay onStatistical Analysis. Answer: In this assignment, the number of admissions to the movies in Australia was surveyed from the year 1994 to 2014. Other factors were also surveyed in this assignment. The data for the variables of Screens, Theatres, Films Screened, Real Ticket Price and Capacity were also collected from the year 1994 to 2014 (Bickel and Lehmann 2012). These data were used in this assignment for the analysis. Statistical analysis would be done on this data set. Descriptive statistics, inferential statistics and concepts of linear regression methods would be given in this assignment based on these data (Vogt and Barta 2013). Graphs and charts would also represent the data and provide conclusion about the data and their relations. Methodology The descriptive statistics for the variables are given below: Screens Mean 1213.52381 Standard Error 103.6609083 Median 1028 Mode #N/A Standard Deviation 475.0339587 Sample Variance 225657.2619 Kurtosis -1.569616636 Skewness 0.410014464 Range 1264 Minimum 645 Maximum 1909 Sum 25484 Count 21 Largest(1) 1909 Smallest(1) 645 Confidence Level (95.0%) 216.2328649 Admissions (millions) Mean 61.82380952 Standard Error 5.151804606 Median 68.1 Mode 92.5 Standard Deviation 23.60853457 Sample Variance 557.3629048 Kurtosis -1.666346431 Skewness -0.055528974 Range 63.6 Minimum 28.9 Maximum 92.5 Sum 1298.3 Count 21 Largest(1) 92.5 Smallest(1) 28.9 Confidence Level (95.0%) 10.74647607 Theatres Mean 545.0952381 Standard Error 9.45840638 Median 547 Mode 520 Standard Deviation 43.34386319 Sample Variance 1878.690476 Kurtosis 8.375821966 Skewness 2.445313468 Range 201 Minimum 501 Maximum 702 Sum 11447 Count 21 Largest(1) 702 Smallest(1) 501 Confidence Level (95.0%) 19.72988992 Films Screened Mean 257.3809524 Standard Error 5.769573802 Median 255 Mode 259 Standard Deviation 26.43950868 Sample Variance 699.047619 Kurtosis 1.256326286 Skewness -0.057083837 Range 124 Minimum 194 Maximum 318 Sum 5405 Count 21 Largest(1) 318 Smallest(1) 194 Confidence Level (95.0%) 12.03512002 Real Ticket Price Mean 19.77952381 Standard Error 0.091997609 Median 19.66 Mode #N/A Standard Deviation 0.421586008 Sample Variance 0.177734762 Kurtosis 0.085043332 Skewness 0.91600328 Range 1.51 Minimum 19.25 Maximum 20.76 Sum 415.37 Count 21 Largest(1) 20.76 Smallest(1) 19.25 Confidence Level (95.0%) 0.191903649 Capacity ('000s) Mean 362.8095238 Standard Error 15.57082422 Median 332 Mode 295 Standard Deviation 71.35448062 Sample Variance 5091.461905 Kurtosis -1.582996919 Skewness 0.44357307 Range 186 Minimum 285 Maximum 471 Sum 7619 Count 21 Largest(1) 471 Smallest(1) 285 Confidence Level (95.0%) 32.48017007 Considering the variable admission (millions), the central tendency the variable, i.e. the mean is 61.8238. The median of the variable is 68.1. This is the middle value of the admission (millions) is 68.1. The modal value of the variable was 92.5 (Plonsky 2015). This is the maximum frequency for the number of people who were admitted for the movie. The variability of the variable; i.e. the standard deviation is 23.6085. This depicts that the variable had a moderate amount of variability in the admission (millions) over the years (Vogt and Barta 2013). The shape of the distribution is platykurtic and the distribution is negatively skewed. The mean of the variable screens was found to be 1213.5238. The median of the variable was 1028 and there was no mode for this variable. The standard deviation of the variable was 475.0339 (Thiem 2014). This depicts that there was moderate variation in the number of screens available in Australia for screening of movies. The shape of the distribution id platykurtic and it is positively skewed. The average value of theatres was found to be 545.095. The median of the variable is 547 and its mode is 520. The standard deviation was 43.34. There was a low deviation in the number of theatres open in Australia during 1994 to 2014 (Campbell and Knapp 2013). The shape of the distribution is leptokurtic and the distribution is positively skewed. The average value of the variable films screened was found to be 257.38. The median value was 255 and the modal value was 259 (Ang and Van 2015). The standard deviation was found to be 36.439. This variable had a low deviation of the number of theatres opened in these years. The shape of the distribution is leptokurtic and it is negatively skewed. The mean of the variable real ticket price is 19.779 and its median is 19.66. the standard deviation of the variable is 0.42 (Kleinbaum et al. 2013). This is a very low standard deviation and the price of the tickets fluctuated little during the period of 1994 to 2014. The shape of the distribution is leptokurtic and the distribution is positively skewed. The average value of the variable capacity was found to be 362.8095. The median was 332 and the mode was 295. The standard deviation of the variable was 71.3544. This depicts that there was moderate variation among the daily capacity of the customers over the years. The shape of the distribution is platykurtic and the distribution is positively skewed. Graph displaying the distribution of admission Box-and-whisker plot for the distribution of the real ticket price is given below The likelihood that the admission is greater than 70 million when the real price of the ticket is more than $20 is given by P(X Z) = 1 P( X Z) = 1- 0.613 = 0.387 (Campbell and Knapp 2013). The admissions are statistically independent of price. This is because the value of the chi square test was found to be zero. The contingency table is as follows: Sum of probability of admission Column Labels Row Labels 28.9 29.7 30.8 35.5 37.4 39 43 46.9 47.2 55.5 68.1 69.9 73.9 76 80 82.2 88 89.8 91.5 92.5 Grand Total 19.25-19.35 0.036 0.071 0.107 19.35-19.45 0.030 0.036 0.043 0.063 0.172 19.45-19.55 0.068 0.071 0.139 19.55-19.65 0.024 0.069 0.093 19.65-19.75 0.022 0.029 0.051 19.75-19.85 0.023 0.062 0.084 19.85-19.95 0.027 0.027 19.95-20.05 0.070 0.070 20.05-20.15 0.059 0.059 20.15-20.25 0.057 0.057 20.35-20.45 0.033 0.033 20.45-20.55 0.054 0.054 20.75-20.85 0.052 0.052 Grand Total 0.022 0.023 0.024 0.027 0.029 0.030 0.033 0.036 0.036 0.043 0.052 0.054 0.057 0.059 0.062 0.063 0.068 0.069 0.070 0.142 1 The 95% confidence interval of mean theatre capacity is given by (mean 1.96* s.d.), (mean + 1.96* s.d.) = (460.1412662, 630.0492099) At 5% level of significance, the admission from 2008 to 2014 had exceeded the constant amount of 84 millions in Taiwan had the hypothesis as follows: H0 = the admission from 2008 to 2014 did not exceed the constant amount of 84 millions in Taiwan H1 = the admission from 2008 to 2014 had exceeded the constant amount of 84 millions in Taiwan On testing the two variables, the p value of the one-tailed test was found to be 0.02732, which is less than the p value (Levy and Lemeshow 2013). The null hypothesis in this case is rejected and the admission from 2008 to 2014 had exceeded the constant amount of 84 millions in Taiwan. The output of multiple linear regression is given in sheet named regression in the excel file. Using the result of regression analysis, the hypothesis is as follows: H0 = there is no difference between the ticket price in 2014 and zero at 5% level of significance H1 = there is difference between the ticket price in 2014 and zero at 5% level of significance The p value of the regression analysis for the variable real ticket price had the value of 0.044, which is less than 0.05. This leads to the rejection of null hypothesis. Thus, there is difference between the ticket price in 2014 and zero at 5% level of significance. The slope of the variable is 5.2766, which is positive (Montgomery et al. 2015). This states that the variable effects the admission in a positive way. The change in price in the ticket leads to the change in the admission in the similar direction. The value of intercept was found to be negative. This suggests that the admission would be negative in absence of all the factors. The slope of Screens was 0.0878, which was slightly positive (Draper and Smith 2014). This value aims to influence the admission in a positive manner, as the value is positive. The value of the slope of Theatres was found to be 0.04508, which is positive. This depicts that the factor had a weak positive influence of the admission. The slope of Flimsy screened was 0.001 and it is weakly negative (Csikszentmihalyi and Larson 2014). This also influences the admission positively and the change in value of this variable changes the value of admission in the same direction (Kleinbaum et al. 2013). The slope of capacity (000s) has a negative slope of -0.2819. This indicates that the variable influence the admission in a negative way. The increase in capacity decreases the admission. All the slope of the variables had the same sign as was expected. The sign of capacity (000s) was expected to be positive whereas it turned out to be negative. The value of adjusted r square is 0.971. This indicates that 97.1% of variation is explained by only the independent variables that actually affect the dependent variable (Fox 2015). The p value of the variables theatres and film screened are more than 5% level of significance. The other three variables have their p value less than 0.05. Thus, this overall model is statistically not significant as the p values of all the variables are not less than 0.05. Scatter diagram and histogram The variable is heteroscadastic, normal and linear. Variables like location of the theatre, facilities provided in the theatre and the type of movie influence the admission positively. These factors would increase the value of regression coefficient and would thereby, influence the regression coefficient. The sampling process of random sampling would not be appropriate one at the first instance. The organisation must identify all the households of native-born Australians. They could then use the process of random sampling to select the households from the identified households. Conclusion It was seen from the analysis that the variable admission is influenced by various factors like the Screens, Theatres, Films Screened, Real Ticket Price and Capacity. The average, standard deviation and the type of distribution of each variable vary from each other over the period from 1994 to 2014. The graphs show the distribution of each variable and the tables give an idea about the type of admission with the real ticket price. The degree of association between the variables was also analysed. Thus the analysis gave a clear picture about the variables and the effect of admission over the years 1994 to 2014 and the influence of the other factors on the admission. References Ang, S. and Van Dyne, L., 2015.Handbook of cultural intelligence. Routledge. Bickel, P.J. and Lehmann, E.L., 2012. Descriptive statistics for nonparametric models I. Introduction. InSelected Works of EL Lehmann(pp. 465-471). Springer US. Campbell, J.P. and Knapp, D.J. eds., 2013.Exploring the limits in personnel selection and classification. Psychology Press. Csikszentmihalyi, M. and Larson, R., 2014. Validity and reliability of the experience-sampling method. InFlow and the Foundations of Positive Psychology(pp. 35-54). Springer Netherlands. Draper, N.R. and Smith, H., 2014.Applied regression analysis. John Wiley Sons. Fox, J., 2015.Applied regression analysis and generalized linear models. Sage Publications Kleinbaum, D., Kupper, L., Nizam, A. and Rosenberg, E., 2013.Applied regression analysis and other multivariable methods. Nelson Education. Levy, P.S. and Lemeshow, S., 2013.Sampling of populations: methods and applications. John Wiley Sons. Montgomery, D.C., Peck, E.A. and Vining, G.G., 2015.Introduction to linear regression analysis. John Wiley Sons. Plonsky, L., 2015. Statistical power, p values, descriptive statistics, and effect sizes: A" back-to-basics" approach to advancing quantitative methods in L2 research. Thiem, A., 2014. Membership function sensitivity of descriptive statistics in fuzzy-set relations.International Journal of Social Research Methodology,17(6), pp.625-642. Vogt, A. and Barta, J., 2013.The making of tests for index numbers: Mathematical methods of descriptive statistics. Springer Science Business Media.

SureCut Shears Essay Essay Example

SureCut Shears Essay Essay There were many intensifying factors that caused SureCut Shears to be unable to pay its bank loan by March 31. 1996. When looking at the pro forma income statement as compared to the existent income statement we see the undermentioned incompatibilities. which are lending to SureCut’s fiscal jobs: AnticipatedActualDollar Loss Contributed Sales25. 80022. 9872. 813COGS ( % to Sls ) 70. 5 % 73. 8 % 768Gross Profit ( % to Sls ) 29. 5 % 26. 2 %SG A ; A Expenses ( % to Sls ) 9. 4 % 10. 6 % 269Entire dollar loss contributed by addition in disbursals 1. 037 Entire dollar loss contributed by lessening in gross revenues 2. 813 As disbursals addition. net incomes are squeezed and SureCut continues to pay dividends at the same rate and sum. further squashing the maintained net incomes. and therefore net income of the company. In entire over the nine months. the per centum addition in COGS and SG A ; A disbursals contributed to over a $ 1 million loss based on the existent gross revenues during that clip. We will write a custom essay sample on SureCut Shears Essay specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on SureCut Shears Essay specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on SureCut Shears Essay specifically for you FOR ONLY $16.38 $13.9/page Hire Writer In add-on the instance refers to a works modernisation plan. which is claimed to be the ground for an addition in needful financess. However. when examined more closely. the works modernisation undertaking was supposed to make efficiencies that would salvage $ 900K in fabrication costs ( to demo up in COGS ) . If we look at the overall addition in existent COGS through March vs. the awaited sum. we find that this nest eggs of 3 % is non realized and the procedure has really reduced in efficiency. By looking at the pro forma balance sheet compared to actuals through March we see this drama out – existent hard currency on manus in March is $ 1. 68 million lower than anticipated. Since SureCut did non do fiscal accommodations to their payables or receivables period to increase hard currency flow. this loss straight contributed to their inability to pay the $ 1. 25 million loan at the terminal of March. To measure the fiscal state of affairs of SureCut Shears we examined a fewfiscal ratios. Based on our appraisal. SureCut Shears’ fiscal state of affairs has decidedly declined and Mr. Stewart should be concerned. Before discoursing ratios. we looked at the tendency over clip of gross revenues and stock list. as seen in Exhibit 1. As you can see. gross revenues drop off of prognosis in September/October. but it doesn’t look that SureCut dynamically changes their production and stock list scheme. Alternatively of the difference of existent vs. awaited stock list dropping with gross revenues. it increases. As a consequence. stock list continues to construct and gross revenues soften. doing hard currency to be tied up. and forestalling SureCut from paying off their seasonal loans. This is seen in the fiscal ratios listed in the chart below every bit good. RatioAnticipatedActualCalculationNet income Margin29. 5 % 26. 2 %ROE9. 2 % 5. 5 % ( Common Stock + Earned Surplus ) /Net IncomeAsset Turnover24. 3 % 23. 4 % Average Sales/Current AssetsInventory Turnover30. 7 % 25. 6 % Average COGS/Ending Inventory Current Ratio 7. 89 5. 75 Current Assets/Current Liabilities Acid Test 3. 49 1. 87 ( Current Assets – Inventory ) /Current Liabilities Days Gross saless in Cash 28. 85 8. 74 Cash in March/ ( Annual Sales/365 ) Together these ratios reinforce the issues discussed supra. Without doing alterations to fiscal policy. SureCut Shears continues to increase liabilities while gross revenues decline. stock list grows. and hard currency dwindles down to merely 8. 74 yearss gross revenues in hard currency in March 1996. If Mr. Stewart were paying close attending to these ratios compared he would be concerned that SureCut hasn’t changed its fiscal policy to suit. other than bespeaking to borrow more money. In short. Mr. Stewart should non impart extra dollars to SureCut given the fiscal state of affairs. All three instances. SureCut. Play Time Toys. and Wilson Lumber had hard currency flow jobs that contributed to the fiscal problem our supporters found themselves in. As a consequence of the hard currency flow jobs. the proprietor of the company in each of the instances requested a loan from the bank in order to back up the continued operations of his concern. However. the concluding behind the requested support and the hazards and returns associated with its fulfilment varied in each of the instances examined. For Wilson Lumber. the company was sing rapid growing and the nature of the concern ( long hard currency rhythms and low net income borders ) necessitated that Mr. Wilson secure outside support to finance its growing. Wilson Lumber is an constituted concern with 10 old ages of profitable returns in a non-seasonal industry that has small volatility in gross revenues and is comparatively unaffected by swings in the economic province of the state. These features differentiate Wil son Lumber from the other instances discussed and impact the options available to Mr. Wilson in footings of outside support. Mr. Wilson had antecedently been trusting on extended trade credits as a agency of funding. However. by widening the life of the trade credits. Mr. Wilson was non merely increasing his hard currency rhythm but besides running the hazard of financing his payables at a much higher rate than obtaining a bank loan. Mr. Wilson was hence left to make up ones mind how to finance his turning company. something his narrow net income borders left him unable to make on his ain. The trade-off between the two beginnings. bank loans and drawn-out trade credits. finally depended on the rate of adoption and the impact this determination would hold on his concern and supplier/customer relationships. Both Play Time Toys and SureCut have seasonal gross revenues periods which greatly affect the hard currency flow rhythm of the concern. Mr. King from Play Time Toys is seeking to happen a manner to increase net income by keeping a degree production throughout the twelvemonth. For Play Time Toys. the seasonality of the fabrication and production procedure meant that equipment was left idle or underutilized during the off-seasons while labour disbursals and rewards spiked during peak seasons. In order to level production. Mr. King needs outside support because the blue gross revenues during the off-season are non plenty to finance flat production during this clip. In order to obtain this outside support from the bank. Mr. King needs to calculate future gross revenues and purchases to show sensible demand and recovery of the requested loan sum. However. prognosiss in a seasonal industry carry great hazard of volatile returns particularly when carrying stock list for goods mostly depende nt on the province of the economic system and consumer tendencies. Play Time Toys must see this hazard in footings of the company’s investing because in add-on to the bank loan the company will necessitate to partially finance the additions to stock list by utilizing its extra hard currency. Mr. King needs to see the tradeoff between the nest eggs ( increased net income ) from degree production and the involvement payments. decrease in marketable securities income and increase in storage costs ensuing from its execution. While the fiscal trade-off between these scenarios can be estimated given the forecasted gross revenues and disbursals the greater hazard lies in the forecasted Numberss themselves. SureCut Shears is an illustration of how the inability to run into forecasted sums can hold black effects on the long term profitableness and viability of the company as a whole good beyond any awaited nest eggs. The nature of the fiscal jobs SureCut Shears is confronting root from a failure to run into the gross revenues and net income prognosiss that it submitted to the bank and its ensuing inability to pay back the loan sums. Similar to Play Time Toys. SureCut Shears operates in a seasonal industry and its forecasted gross revenues fell abruptly of outlooks. However. in add-on to decreased gross SureCut Shears besides failed to keep its net income borders and control costs in the face of worsening gross revenues. The impact of the gross revenues forecast on SureCut Shears financials was extended because the company decided to keep a degree production throughout the twelvemonth. To finance this determination the company increased its liability by taking out bank loans to fund the production of stock list during months when grosss were low and future net incomes were unsure. The original pick to keep flat production. a hazardous move in itself for a company in a seasonal industry. was compou nded as SureCut increased adoption sums and stock list degrees ( above the â€Å"level limit† ) despite the perennial inability of the company to run into its gross revenues marks month after month. As a consequence. the company has been left with a reserve of stock list ( its largest current plus ) . diminishing net income borders and undependable prognosiss. SureCut Shears has been made riskier in the eyes of the loaning bank and is hence non expected to be able to keep its current adoption bounds.

To Kill A Mockingbird by Nell Harper Lee.

To Kill A Mockingbird by Nell Harper Lee. In the classic book To Kill A Mockingbird, the reader is introduced to a, collage of varying characters. By telling the story through the eyes of the innocent Scout Finch, Nell Harper Lee, is able to portray a true sincere person in all of her characters. In a town where everyone's lives are touched and in some way changed by the trial of Tom Robinson, it is interesting to delineate between good characters, bad characters, those with opened or shut minds, those who have feelings, emotions, and consciences, as well as those who have the ability to be changed and affected by such events. Perhaps no other character seems to be as fascinating, and can offer the reader a deeper description of his true feelings and beliefs as Scouts older brother Jem. Through the events that take place in this novel, and the reactions he takes towards them, it is clear that Jem is a model of maturity, morality, and a character who is easily affected and thus able to be changed.Film producer Alan J. Pakula with Lee; Lee spent t...Perhaps the biggest event which portrays Jem to be very mature is when Dill returns to Maycomb from his mothers house. Dill who has escaped the unpleasantness of spending the summer with his ungrateful Mother and Stepfather, so that he can spend time with Scout, is discovered when Scout felt him in the dark. When Jem became aware of this, he knew what he had to do: "Dill's eyes flickered at Jem, and Jem looked at the floor. Then he rose and broke the remaining code of our childhood. He went out of the room and down the hall. Atticus, His voice was distant, 'Can you come here a minute, sir?' " (141) This event is very important in realizing what kind of person Jem is. Scout...

With recent headlines in mind, identify five reasons for the public Research Paper

With recent headlines in mind, identify five reasons for the public not to trust the government and five reasons for the public to trust the government - Research Paper Example In the United States our government is based on the Democratic model which allows input from the people as a result of their voting and electing of representatives who also vote. Government is made up of these representatives in two specific houses, Senate and Congress and it is called the legislative branch. The executive branch consists of the president, vice president and his cabinet of advisors. These branches are almost exclusively responsible for decisions that affect the lives of hundreds of millions of United States citizens, as well as potentially affecting billions across the planet. Trusting or not trusting this entity that controls so much is a hard question to understand. When asked more than one friend made it clear that we needed to support the government and trust that they were doing what is right by us, specifically they mentioned approaches taken in the security arena with regards to air travel and travel in general in the United States. The Transportation Security Administration (TSA) has the unenviable job of providing for the security of millions of annual travelers via air travel, and more recently the possibility of scanning and checking millions of travelers via trains, busses and other vehicles as well as pedestrians in some areas. (Greenberg) Additionally the friends mentioned the efforts made by the United States to introduce Democracy into Iraq and Afghanistan. The initial reasons for our being in those nations having to do with the terrorist attacks with planes against the United States on 9/11, while those reasons and nations have since been cleared of wrongdoing in the terrorism approach we are still there ten years after the fact. Lastly, my friends mentioned that we should trust them because they help others, they referenced the Haiti earthquakes and the large amounts of aid and people we sent to assist them, they also referenced the recent BP oil spill and the Hurricane that

Effect of IT Industry on Literacy Essay Example | Topics and Well Written Essays - 1500 words

Effect of IT Industry on Literacy - Essay Example For example a manual may require at least a week with a man power of ten to fifteen people whereas when it comes to an automation the same work can be finished off within a day with an employee of one o two who knows how to operate it. A number of examples can be cited where Information Technology has played a considerable role. We can take the banks before they were automated. There used to be a lot of difficulty and lot of time consumption for performing transactions. Cashing a check involved a lot of time as the balance had to be calculated manually. But Information Technology has revolutionized banking sectors. Any kind of transaction can be performed within seconds from creating an account to withdrawing cash. And the introduction of ATMs(Automated Teller machines) has made the work even much more simpler in which the user can take money whenever he or she likes and need nor carry the exact amount of money. The IT industry has created a lot of opportunities as well in terms of employment and also with special incentives and packages which no other fields are offering. And also IT sector had a lot of influence of the education sector. Computer education is being provided from early years of education itself. This helps children to cope up with the coming years since they would have firm foundation in computers. Also special emphasis is being given in terms of application programming and also to games. Games help children to improve creativity and also form a kind of entertainment and refreshment. Similarly exposure to internet has also helped since internet is considered to be the largest storage of knowledge and the child can get any sort of information on whatever topic or subject he or she is interested in. It also makes learning easy and interesting. Information technology provides for students to develop and exercise their critical thinking abilities. Information conveyed through advanced information technology such as computers and the World Wide Web can appear more convincing than the same information conveyed through a conversation with a stranger or the newspaper, despite the fact that it may have equiva lent accuracy and validity. Students must evaluate all information critically. Their ability to present information using information technology can aid in developing an ability to separate form from content in all information, and in assessing its accuracy and validity. The result is a more critical evaluation of all information. Such critical ability helps individuals to evaluate information technology-mediated claims for alternative medicines, advertisements for energy-efficient homes, and homework advice from peers. Hence it can be observed that the IT industry has many positive aspects on literacy and education. One of the reasons is that IT has been made to reach even the remote places these days. In the past computers were only subjected to large offices and sectors. Even the internet was limitedly available. But slowly due to advancement in technology an attempt has been made to reach technology to every one and everywhere. This had been dome mainly due to the benefits which this particular field has got. These are the advantages of the IT field. But there are many negative aspects of IT sector as well. IT has definitely promoted literacy. But it has

Symbolic Picture Essay Example | Topics and Well Written Essays - 500 words

Symbolic Picture - Essay Example n this particular image, the photographer illustrates the desperate conditions of Darfur as well as the idea that it is possible to make a difference. The black and white image depicts a black child in front of a wall made of irregular posts and straw. The child is caught in the act of splashing water over his head and the water is seen streaming down the child’s very skinny body and splashing in droplets in the foreground. To refer to the child as ‘he’ is a simplification made for discussion but is not necessarily actual truth. The child depicted has very short, close-shaved hair on his head and no clothing to designate gender. The photograph provides just the hint of a belly button at the bottom edge of the image, but no further indication is provided of gender or clothing. The child is wearing two strings of white beads, which could be an indication of female gender but could also be a sign of social status or wealth. The child also wears a hospital-style bracelet which could indicate that he has access to care beyond that of the average child. There are a number of ways in which the image conveys the idea that the situation in Darfur is desperate. The background is stark, conveying a sense of a simple sand floor and poor building materials. The child is completely isolated in the image, with no sense that there is anyone else in the vicinity. This idea is reinforced by the closed eyes of the child directed downward. The most eloquent statement in the image, though, is the extreme thinness of the child. Each individual rib can be counted, the arm joints are nearly skeletal in detail and the child’s hands seem too large for the rest of his frame. However, there are plenty of hints within the image that suggests there is still hope that things can be different. The child wears beads suggesting some form of wealth and a hospital bracelet suggesting there is some form of care underway to see to this particular child’s overall well-being into