Protean free essay sample

Examining the impact of protean and boundaries career attitudes upon subjective career success. This Journal by Enhance et al. Speaks about two kinds of employees and their career attitudes and they are protean and boundaries. Because of the theory that we are testing, we will only be looking at protean career attitudes and employees who follow them. Until recently, career development and success were looked at to be a full time and long-term Jobs.Recently, career development is seen as a person taking control of himself and his own career and vocational destiny. A protean employee can be defined as being someone who is able to change when needed and is someone who is flexible and has the skills to adapt to new changes. According to Brioche et al. (2006), protean career attitudes capture self-direction in career management and making choices based on ones own values in guiding ones career and vocational development. We will write a custom essay sample on Protean or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page This also shows us that protean individuals tend to look at both self-direction and values driven predisposition. King (2004) also argued that taking responsibility for managing ones career development can deliver positive psychological outcomes, including career and life satisfaction, enhanced self-efficacy and individual well- being, if desired career outcomes are achieved.Taking into account the definitions of protean employees and their attitudes and looking at the theory we are presenting, we can hopefully find a relation showing that protean employees can help society. By having traits of self-direction and values driven, protean employees will ensure their Insertion Into society given the right Incentives. Slide Title: Examining the Impact of protean and boundaries career attitudes upon subjective career success. Protean and boundaries * Traditional career attitudes * Protean employee definition: * Brioche et al. 2006) * Self-direction and values-driven * King (2004) * Conclusion * Insertion Into society given the right Incentives Protean By Andalusias them. Until recently, career development and success were looked at to be a full driven, protean employees will ensure their insertion into society given the right incentives. Slide Title: Examining the impact of protean and boundaries career attitudes upon.

Quality Control for All

Quality Control for All Introduction/Executive summary This report involves the statistical analysis of data obtained from the previous jobs conducted by the Allrepairs staff. The performance of individual staff members is evaluated for all the jobs they undertake in terms of the time taken. In conducting this analysis, constraints such as the difficulty of the job are considered alongside the satisfaction of the customer.Advertising We will write a custom report sample on Quality Control for All-repairs Mechanics specifically for you for only $16.05 $11/page Learn More The other factor put into consideration is the number of years that the individual has been in the field, and this is important in determining their level of expertise. These values are independent random variables obtained by coding the raw data obtained during the data collection stage and is shown by the table provided. This analysis is supposed to show the competence of the individual staff members, who collecti vely determine the credibility of the company. In order to come up with this analysis the hypothesis has to first be determined then tested using the available data. This data will then be evaluated using E-views software which will generate the relevant statistics to be analyzed1. Hypothesis This analysis is aimed at establishing the credibility of Allrepairs staff members in relation to their experience, job difficulty, the time taken to complete the tasks and the customer’s response. The null hypothesis states that the staff members are not equally competent while the alternative hypothesis states that they have the same level of competence. In case the null hypothesis holds, the alternative hypothesis is automatically disregarded and vice versa2. Data Analysis The first table in this analysis is a representation of the general statistics of the data objects. It indicates the mean, median, maximum, minimum, standard deviation the skewness and the kurtosis of the individual objects for the 293 observations. Table 1: descriptive statistics DIFFICULTY SATISFACTION TIME YEARS Mean 1.832765 3.225256 34.05461 8.071672 Median 2.000000 3.000000 32.00000 9.000000 Maximum 3.000000 9.000000 97.00000 12.00000 Minimum 1.000000 1.000000 6.000000 2.000000 Std. Dev. 0.604791 1.405875 15.74466 3.884239 Skewness 0.092354 2.914407 0.959621 0.752124 Kurtosis 2.589877 12.97725 4.128666 1.924974 From this data, the mean difficulty of the jobs undertaken is below the median, meaning that most jobs are relatively easy. The mean for the satisfaction indicates that most of the customers are satisfied with the job while that of the time taken to complete the tasks indicates that a larger percentage of jobs is completed within the required time frame.Advertising Looking for report on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More On the years of experience however, the statistics indic ate that most of the employees have not been with the company for long, implying a slightly high rate of labor turnover. The standard deviations likewise indicate that the value for the difficulty level is not very deviant from the mean3. This could be interpreted as the jobs have a difficulty level that is relatively similar to each other. As for the level of customer satisfaction, the standard deviation indicates that a majority of the customers approve the services offered to them. The time and number of year’s deviations, as well, indicate little deviation from the mean. To analyze the interrelationship between any two given objects, we will use the covariance matrix generated as follows. Table 2: Covariance matrix DIFFICULTY MECHANIC SATISFACTION TIME YEARS DIFFICULTY 0.364524 -0.110042 0.044497 7.288996 0.438607 MECHANIC -0.110042 1.305898 -0.102529 -1.992277 -4.083507 SATISFACTION 0.044497 -0.102529 1.969738 0.991112 0.349043 TIME 7.288996 -1.992277 0.99111 2 247.0482 6.357861 YEARS 0.438607 -4.083507 0.349043 6.357861 15.03582 The significance of this is in the determination of how the variables change in relation to each other4. The level of difficulty and the satisfaction of the customer seem to be changing in the same direction, implying a proportionate change while that between the mechanic and all the other variables do not change in the same direction. This means that the result of the repair has nothing to do with the mechanic handling the job. We can therefore conclude that the only variable that does not affect the outcome of the job hence the performance of the company is the mechanic. The covariance between the number of years in the company and the time taken to complete the tasks has a high covariance and this can be interpreted to mean that the time changes in the same direction with the years of experience5.Advertising We will write a custom report sample on Quality Control for All-repairs Mechanics specifi cally for you for only $16.05 $11/page Learn More The next element in this analysis is the determination of individual descriptive statistics alongside the histograms so that we can come up with a conclusion on how the individual variables affect the overall reputation of the company. First is the difficulty histogram as shown below. Diagram 1: Difficulty Histogram and statistics From this histogram, the level of difficulty for the majority of the tasks lies at the average difficulty level. The hardest jobs are the least and this implies that the employees in this company have the necessary expertise to handle the jobs at their disposal. The second diagram is that of the mechanics as shown below. Diagram 2: Mechanic Histogram and statistics Advertising Looking for report on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More From this, we can conclude that the mechanics do an approximately equal number of jobs as shown by the bars. The difference in the size of the bars is not significant, indicating a fair policy in the company when allocating jobs6. Third is the time taken shown in diagram 3 below. Diagram 3: Time Histogram and statistics The tasks take different amounts of time to complete depending on the difficulty of the job. Most of the jobs however take a time frame below the average and this is an implication of time efficiency in the company which ensures that completed work is delivered to the customer on time7. Diagram 4: Satisfaction Histogram and statistics From this diagram, we can conclude that the numbers of customers who have expressed dissatisfaction over the work done are the least. A majority of the observation indicate a high level of satisfaction, which may mean that the repairs done never recurred and they were completed on time8. Diagram 5: Year’s Histogram and statisti cs From this diagram, the period of time that the employees have been working in the organization differs greatly, with the gap between the first person and the others being the greatest. This person has however handled the highest number of jobs though by a very small margin compared to the others9. The other three seem to have been in the company for an almost equal period of time. Conclusion From these diagrams, we can conclude that going with the data provided here, the company is performing effectively and it is credible enough to be hired to carry out repairs. The success of this company can be considered to be as a result of the strong workforce, and so, the alternative hypothesis holds true, disqualifying the null hypothesis10. The employees have an almost equal level of expertise as realized throughout the analysis. The result of the covariance analysis indicates that it does not matter which employee is undertaking the task, since the result is always relatively equal, im plying an equal level of expertise among the employees. References List Anderson, TW, An Introduction to Multivariate Statistical Analysis, Willey, New York, 1998. Bowerman, BL, RT O’Connell ML Hand, Business Statistics in Practice, Mc-Grawhill, Boston, 2001. Boyle, RG, Descriptive statistics, Victoria College Press, Burwood, 1998. Bradley, T, Essential Statistics for Economics, Business and Management, John Wiley Sons, Chichester, 2007 Dixon, WJ FJ Massey, Introduction to Statistical Analysis 3d ed, McGraw Hill, New York, 1999. Doane, DP LW Seward, Essential statistics in business and Economics, McGraw-Hill Irwin, Boston, 2010. Edwards, AL, Statistical Analysis 3d ed, Rinehart and Winston, New York, 2009. Lind, DA, WG Marcal RD Mason, Statistical techniques in Business and Economics, McGraw-Hill Irvin, Princeton, 2002. McClave, JT, PG Benson T Sincich, Statistics for Business and Economics, Prentice Hall, Upper Saddle River, 2001. Wegner, T, Applied business statistics, 2nd ed, Juta, Cape town, 2007. Footnotes 1. D Doane L Seward, Essential statistics in business and Economics, McGraw-Hill Irwin, Boston, 2010, p.48 2. T Wegner, Applied business statistics, 2nd ed, Juta, Cape town, 2007, 98. 3. McClave, JT, PG Benson T Sincich, Statistics for Business and Economics, Prentice Hall, Upper Saddle River, 2001, p.62. 4. A Edwards, Statistical Analysis 3d ed, Rinehart and Winston, New York, 2009, p.85. 5. D Lind, W Marcal R Mason, Statistical techniques in Business and Economics, McGraw-Hill Irvin, Princeton, 2002, p. 122. 6. R Boyle, Descriptive statistics, Victoria College Press, Burwood, 1998, p.77. 7. T Bradley, Essential statistics for Economics, business and management, John Wiley Sons, Chichester, 2007, p. 82. 8. W Dixon FMassey, Introduction to statistical analysis 3d ed, McGraw Hill, New York, 1999, p. 54. 9. T Anderson, An introduction to multivariate statistical analysis, Willey, New York, 1998, p. 98. 10. B Bowerman, R O’Connell M Hand, Business statistics in practice, Mc-Grawhill, Boston, 2001, p. 23

LOreal Consultancy Report Essay Example | Topics and Well Written Essays - 2500 words

LOreal Consultancy Report - Essay Example Following in part four the report will identify organizations and alliances, what impact they may have on the industry and on the competitive position of L'Oreal. Finally, I determine what strategic options are the most appreciate to this organization to ensure its success in the next five years. The sales of cosmetics and toiletries is on the rise after it slowed down globally in 2004, the world market was valued at $253 billion in 2005. With a positive growth after sentimental recovery from SARS scares and the war in Iraq (GCI, 2006), with strong cosmetic sales in Latin America and Eastern Europe, peaking in Western Europe the largest market. According to indications there was a 4% growth in 2004, an according to the Global Cosmetic Industry Magazine the Euromonitor International forecast of a possible 20% can be obtained if current key trends are followed. Dividing the world cosmetic market in two sections, the mature and the developing markets, it is possible to show where sales are peaking, and where there are still opportunity for expansion. The mature markets can this be seen as Western Europe, Asia Pacific, North America and Latin America as this are where the lion share of the market currently lies. Many of the consumers in this mature market demand more sophisticated products and due the amount of competition product prices needs to be reduced if a company wants to stay competitive. The one market in this section that shows promise are China and most of the high profile players are entering this new market, such as Este Lauder and P&G, with retailers including Sephora and Sa Sa, and direct sellers Avon, Alticor, Mary Kay and New Skin (GCI, 2006). Developing markets can be seen as Venezuela, Vietnam, New Zealand, Australia, South Africa and Russia. In 2003 Vietnam showed a 19% growth in cosmetic sales even though demand are still concentrated in the urban areas, offering ample opportunity to expand. The South African market showed a healthy growth as consumers started to buy high margin multi-functional products. With more black South Africans entering the middle income group with the governments aggressive affirmative action policy,