German Commercial Law Essay Example | Topics and Well Written Essays - 1500 words

German Commercial Law - Essay Example he similarities and difference between the European Court of Justice and German Federal Constitutional Court as far as the interpretation of legal issues in general including European arrest warrant case in particular. There are several similarities in interpretation of European law by European Court of Justice and German Federal Constitutional Court in commerce and basic law aspects (Dannemann, 1993). This is reflected in the amendments made to German civil codes in pursuance with the European law (Raymond Youngs, 2002). However, in some specific matters, there arises a clash between the two legal agencies. It is argued that the exclusive jurisdiction of European Court of Justice has been severely affected by the powers of German Federal Constitutional Court as provided by the German constitution (Alter, Karen, 1996). This led to interference of German Parliament in interpretation of German law or European law. Even in several occasions it was felt that the basic law of Germans is quite differently interpreted by the two legal authorities. For example, in one of the important case, the Federal Constitutional Court of Germany discusses the merits of party’s complaint in the context of Article 38(1) of the Basic Law3, and opined that only this provision gives him standing. The judgment gave more support to interpretation of German federal constitutional court especially in European arrest warrant case. Hence it was postulated that while interpreting the basic law’s applicability, the court should not only see the provisions of Europen court of justice but also consider the provisions of German federal constitutional court. European court of justice would look in to the general issues of citizens of all the member countries (Vermeulen and Sanders, 1998). There is a feeling that Bundestag is limited in its powers due to the fact that Germany is a member of the European Union4, which has its own legislation. However that loss is compensated by Germanys

Synopsis final Essay Example | Topics and Well Written Essays - 1000 words

Synopsis final - Essay Example These indicators should be reliable and based on a sound frame work. They should also be Feasible and linked to data sources; Focused on the interests and justice needs of the people, neutral and administered by unbiased stakeholders. They should be nonjudgmental; track data over time and identify trends, establish benchmarks in key areas and contribute to improve implementation of the basic values of the EU, such as the rule of law, justice and fundamental rights. The rule of law plays a very important role in human life. It brings the value of fundamental human rights. The rule of law ensures respect for human dignity, freedom, democracy and equality. It also creates institutional trust among EU Member states. It eliminates vices such as unfair laws, unequal application of the law, corruption and violation of fundamental rights. The rule of law also ensures justice. People, organization’s and business firms enjoy protection when disputes arise. Fair dispute resolution is attained. Human, economic and social development is also attained through the rule of law and measure of property. Waldron’s also argued that citizens can bring out the best in themselves if their rights and interests are respected and protected. He also stated that the rule of law should protect personal property. The society which fails to protect property rights against legislative restrictions is failing to support the rule of law and the measure of property. Waldron’s argument rejects the idea that the rule of law privileges property rights over other forms of law, but instead claims that the rule of law should endorse the use of legislation to achieve valid social objectives. Waldron’s argument considers some of the implications of the law in economic matters and legislative impacts on property through appropriate balance between private property rights and

The Use Of Ict In The Airline Industry Tourism Essay

The Use Of Ict In The Airline Industry Tourism Essay Abstract This essay throws light on the use of ICT in the airline industry and what impacts developments in ICT have made on the said industry. The essay highlights the role of ICTs in enhancing airlines capability to interact with customers, reducing the operational costs, increasing the convenience for making reservations, managing air traffic, administering the crew and airport staff, improving the passengers in-flight experience, maximizing airlines revenue by variable fares, improving security standards, promoting partnerships and alliances among airlines, integrating value added services. It has been argued that automation increases efficiency but human factor is yet very important in personifying the customer experience. Introduction to the Airline Industry An airline provides air transport services for passengers and/or freight. Commercial operations of airlines date back to early 1900s, however, evidence of increase in operations is found after World War I. Over the years, airline as an industry has grown tremendously. It has facilitated economic growth, world trade, foreign investment, tourism and has played a significant role in globalization of industries. Full-service airlines have a high level of fixed and operating costs in order to establish and maintain air services: labor, fuel, airplanes, engines, spares and parts, IT services and networks, airport equipment, airport handling services, sales distribution, catering, training,  aviation insurance etc. Keeping in view such high costs and complex nature of operations, it is essential for airline companies to take advantage of ICTs to carry out operations smoothly and optimize expenses. Use of ICT in the Airline Industry Technology is dramatically and profoundly changing the nature of services. Technology is also profoundly changing how services are delivered, and it is enabling both customers and employees to get and provide better, more efficient, customized services. These changes have significant implications for managing service operations as well as for predicting and managing consumer behavior. Impact of Developments of ICT on Operations of Airline Industry In the text below, major operations of the airline and airports have been discussed. It has been analyzed that how the developments in the ICT have impacted the processes of the said industry. The developments in the ICT have significantly influenced the way Airlines interact with customer, develop loyalty programmes and implement customer retention strategies. Few developments to enhance the passengers in-flight experience have also been made. Interaction with Customers The proliferation of internet and World Wide Web has made it enormously convenient for the organizations to interact with their customers. Internet has provided a very economical way of interacting with customers, has reduced distribution costs, and has increased the profit margin by direct selling. Internet has also served as a purveyor of information about travel. Carriers everywhere have embraced online ticket sales as a means of reducing distribution costs. Travelers now have the opportunity and convenience to compare price and service offerings of all airlines quickly and efficiently, and to act on those comparisons instantly with only a few keystrokes. McIvor et al. (2003), present analysis of four airline companies and their use of internet to provide innovative interaction and transactional mechanisms with customers. They state that internet has increased the expectations of customers for the services and service delivery. In fact, the internet has become essential to the strategic development of the airline companies. They further argue that the scope and boundaries of the airline industry have become less clear as a result of the adoption of internet technologies at the customer interface. The offering of a range of products and services is creating industry convergence. Exploitation of the internet at the customer interface has become a key catalyst in the transformation of the airline industry. In the past, airlines have been selling their product (i.e. an airline seat) through travel agents. The travel agents competitive position was based on exploiting the information insufficiency at the customer end. However, nowadays, the website of the Airline makes customer autonomous to decide on the fares, routes and various services associated. The internet enables airlines to build a direct and superior relationship with customers. In this era, the airlines site support complete automation of the booking process and limits the need for human intervention. Airlines are extensively investing and utilizing the Internet to further undermine the travel agents which has also resulted in improved process efficiency. Furthermore, removal of the travel agent layer has reduced transaction costs and has enhanced the relationship with customer through the provision of more detailed and up-to-date information. Customer Retention and Airline Loyalty Programmes The cost of developing a new customer is several times higher than the cost of keeping an existing customer. With the increasingly fierce market competition, companies would like to retain their existing customers as much as possible. Fan (2007), state that competition has changed gradually from price of products and services to grasping customers. Only those companies that can more precisely understand customers demands, more quickly respond to the changing needs and can improve customer satisfaction and loyalty can win the competition. Customer Relationship Management (CRM) has become particularly important in this age. Data mining technology, as the founding base of CRM, can help the airlines to effectively capture valuable information about passengers from extensive information available in their databases, which is essential for making strategic marketing decisions. McIvor (2003), state that through sophisticated Information Systems available now, it has become possible to automatically inform staff about customer preferences such as aisle seats or in-flight entertainment. Previously, such information may have been collected but not used to enhance the needs of their most profitable customers. CRM and Data Mining allow companies to target groups effectively, and allocate marketing resources to best effect. As is shown in 80/20 rule, 80% of sales of a company come from 20% of its clients, it is essential to conduct customer segmentation and find those 20% of high-value customers. Zhang and Chen (2009), state that in order to better ensure continued profitability it is necessary to keep customer satisfied. Through a lot of accumulation of data on passenger satisfaction surveys, using data mining technology such as principal component analysis, factor analysis to identify the main influencing factors of passenger satisfaction, as well as the relative importance of various factors can help airlines make improvements, enhance the overall customer service levels and the competitiveness of companies. McIvor et al. (2003), further state that Airline loyalty programmes have been the major means of keeping customers to a particular airline. Airline loyalty programmes provide significant value to customers. Airlines are now associating their Loyalty Programmes with the complementary products and services such as car rentals and hotel accommodations. In fact, the airlines are attempting to create a one-stop shopping experience for the customer with all the required travel products and services available on-line. With the provision of these complementary services, airlines have enhanced value of the core service. It is, therefore, very important to take full advantage of the data mining and other modern information technology to identify the valuable information about the customers buying pattern and choices and address them in timely fashion to provide more personalized service which will ultimately improve passenger satisfaction and loyalty. Operations and Business Intelligence Negash and Gray (2008), discuss the case of Continental Airlines. They state it as the seventh largest airline in the world with 2300 daily flights to over 200 destinations. An airline, as big as this, and requiring decisions about each take-off and landing, each passengers fare, ground operations, detecting fraud, security and customer relations, need for a ICT based intelligent business model was indispensable. In 1998 they implemented a real-time data warehouse and began their climb to being a top airline. For example, they integrated customer information, finance, flight information, seat inventory, and security to improve revenue. The warehouse data also allowed them to spot travel agent fraud. They moved forward from there to real-time applications. For example, they began using optimization techniques to design fares based on current demand; they gave their gate agents and flight attendants details on customer experiences on previous flight segments and flights; if a connecting flight was late, they used dashboard displays so their high-value customers would be helped in making connections for themselves and for their baggage. To make all this work, Continental built an 8 terabyte real-time data warehouse (called an operational data store or ODS) that coordinated 25 internal and two external operational systems. These systems include both Web and desktop BI. In-flight Entertainment The advancement in technology has enabled Airlines to enhance the passengers travelling experience. Back in early 1920s, Aeromarine Airways pioneered in the digital entertainment of passengers by showing a movie during the flight. Since then, digital technologies have evolved from single shared screen to individual screens offering variety of infotainment stuff such as movies, games, news, flight information, weather information etc. Furthermore, as reported by Nelson (2010), in-flight WiFi internet access was made available to passenger in 2008 by American Airlines after the test in 2005. The capability of providing internet facility during the flight has phenomenal impacts and lets the passenger stay in touch with the world even on the go. Security Future As discussed in essay, opportunity for in-flight WiFi access still exists. Few major airlines, like American Airlines, have already provided this facility on certain airlines. Provision of the internet and staying in touch during the longer hours travel will have considerable implications and will be great source of providing competitive edge. Furthermore, reported by HotHardware, BlueBox Avionics is aiming to integrate iPad into their next in-flight entertainment solution. Whether or not they integrate the iPad to the back of the passengers seat, distributing the iPad among the passengers during a long flight will certainly enhance the passengers experience. iPad certainly provides a much richer entertainment as compared to currently installed display screens. Conclusion The evidence presented in this article has illustrated how the Internet represents a powerful technology for commerce and communication between customers and airline companies. The Internet clearly enables the customer to move from being a passive participant to that of being proactive and more sophisticated in their relationship with airlines.

Insanity in Shakespeares Hamlet - The Madness of Hamlet Essay

The Madness of Hamlet    William Shakespeare, in the tragedy Hamlet, designed two characters who exhibit symptoms of madness: Ophelia and the prince. Hamlet states his own madness as intentional, purposeful, for the carrying out of the ghost’s admonition. But does Hamlet’s pretended insanity actually touch on real, actual insanity from time to time, or is it consistent? Phyllis Abrahms and Alan Brody in â€Å"Hamlet and the Elizabethan Revenge Tragedy Formula† consider the madness of the hero to be completely feigned and not real: Hamlet is a masterpiece not because it conforms to a set of conventions but because it takes those conventions and transmutes them into the pure gold of vital, relevant meaning. Hamlet’s feigned madness, for instance, becomes the touchstone for an illumination of the mysterious nature of sanity itself. (44-45) Hamlet’s first words in the play say that Claudius is "A little more than kin and less than kind," indicating a dissimilarity in values between the new king and himself – introducing into the story a psychological problem, a refusal to conform, which lays the groundwork, or previews, the upcoming pretended madness. As the future king of Denmark, the hero is expected to maintain a good working relationship with the present king, Claudius. But this is not so. Even before the apparition of the ghost, Hamlet has a very sour relationship with his uncle and stepfather, Claudius. Hamlet’s first soliloquy deepens the psychological rift between the prince and the world at large, but especially women; it emphasizes the frailty of women – an obvious reference to his mother’s hasty and incestuous marriage to her husband’s brother: Must I remember? why, she would hang on him,   Ã‚  Ã‚  Ã‚   As if... ...: Hamlet. Ed. Harold Bloom. New York: Chelsea House, 1986. Rpt. of â€Å"O’erdoing Termagant: An Approach to Shakespearean Mimesis.† The Yale Review 63, no.3 (Spring 1974). Foakes, R.A.. â€Å"The Play’s Courtly Setting.† Readings on Hamlet. Ed. Don Nardo. San Diego: Greenhaven Press, 1999. Rpt. of â€Å"Hamlet and the Court of Elsinore.† Shakespeare Survey: An Annual Survey of Shakespearean Study and Production. No. 9. Ed. Allardyce Nicoll. Cambridge, Eng.: Cambridge University Press, 1956. Rosenberg, Marvin. â€Å"Laertes: An Impulsive but Earnest Young Aristocrat.† Readings on Hamlet. Ed. Don Nardo. San Diego: Greenhaven Press, 1999. Rpt. from The Masks of Hamlet. Newark, NJ: University of Delaware Press, 1992. Shakespeare, William. The Tragedy of Hamlet, Prince of Denmark. Massachusetts Institute of Technology. 1995. http://www.chemicool.com/Shakespeare/hamlet/full.html

Demographic Profile Of The Respondents Accounting Essay

In this chapter, consequence is obtained through the informations aggregation method from 300 questionnaires. The informations obtained from questionnaires are analyzed and computed by utilizing the Statistical Package societal Science ( SPSS ) package. Tables and charts will be exhibited to show the consequences in an apprehensible mode. This chapter started off with the descriptive analysis of the respondent demographic profile and cardinal inclinations measuring of concepts. Next, scale measuring is to supply the consequences of dependability trial. This is followed by the illative analysis with the Pearson correlativity coefficient analysis and multiple additive arrested development analysis. Last is to reason this chapter.4.1 Descriptive Analysis4.1.1 Demographic Profile of the RespondentsTable 4.1: Gender of RespondentsGenderFrequency Percentage Valid Percentage Accumulative Percentage Valid Male 105 51.7 51.7 51.7 Female 98 48.3 48.3 100.0 Entire 203 100.0 100.0 Beginning: Developed for the research In the Table 4.1 above, it showed the frequence and per centum of gender of 203 respondents. There were a sum of 105 male respondents ( 51.7 % ) and a sum of 98 female respondents ( 48.3 % ) . Table 4.2: The Age Group of RespondentsAgeFrequency Percentage Valid Percentage Accumulative Percentage Valid Under 21 old ages 5 2.5 2.5 2.5 21-30 old ages 67 33.0 33.0 35.5 31-40 old ages 54 26.6 26.6 62.1 41-50 old ages 31 15.3 15.3 77.3 51 old ages & A ; above 46 22.7 22.7 100.0 Entire 203 100.0 100.0 Beginning: Developed for the research Table 4.2 presented the frequence and per centum of the age group of respondents. 5 respondents ( 2.5 % ) were under 21 old ages old, 67 respondents ( 33.0 % ) were 21 to 30 old ages old, 54 respondents ( 26.6 % ) were 31 to 40 old ages old, 31 respondents ( 15.3 % ) were 41 to 50 old ages old and 46 respondents ( 22.7 % ) were 51 old ages old and above. Table 4.3: The Marital Status of RespondentsMarital StatusFrequency Percentage Valid Percentage Accumulative Percentage Valid Single 73 36.0 36.0 36.0 Married 130 64.0 64.0 100.0 Entire 203 100.0 100.0 Beginning: Developed for the research The Table 4.3 indicated the frequence and per centum of the matrimonial position of respondents. The bulk of the respondents were married which represented 64.0 % that is about 130 people out of 203 respondents. Meanwhile, 73 respondents ( 36.0 % ) were still individual. Table 4.4: The Education Level of RespondentsEducation DegreeFrequency Percentage Valid Percentage Accumulative Percentage Valid Primary instruction 8 3.9 3.9 3.9 Secondary instruction 77 37.9 37.9 41.9 Certificate / Diploma 80 39.4 39.4 81.3 Bachelor ‘s grade 33 16.3 16.3 97.5 Master ‘s grade 5 2.5 2.5 100.0 Entire 203 100.0 100.0 Beginning: Developed for the research From the Table 4.4, it showed the frequence and per centum of the instruction degree of respondents. From the information above, bulk of 80 respondents held a certification or sheepskin ( 39.4 % ) . The 2nd and 3rd largest groups were 77 respondents who had completed the secondary instruction ( 37.9 % ) and 33 respondents who held a unmarried man grade ( 16.3 % ) . Last, the respondents who had completed the primary instruction and which is a maestro grade holders were 8 people ( 3.9 % ) and 5 people ( 2.5 % ) severally. Table 4.5: The Working Period of RespondentsWorking Time periodFrequency Percentage Valid Percentage Accumulative Percentage Valid Less than 1 twelvemonth 23 11.3 11.3 11.3 1-5 old ages 63 31.0 31.0 42.4 6-10 old ages 48 23.6 23.6 66.0 11-15 old ages 25 12.3 12.3 78.3 16-20 old ages 19 9.4 9.4 87.7 Above 20 old ages 25 12.3 12.3 100.0 Entire 203 100.0 100.0 Beginning: Developed for the research The Table 4.5 represented the frequence and per centum of the on the job period of respondents. The respondents were divided into six classs. 23 respondents worked as an insurance agent for less than one twelvemonth ( 11.3 % ) , 63 respondents worked for 1 to 5 old ages ( 31.0 % ) , 48 respondents worked for 6 to 10 old ages ( 23.6 % ) , 25 respondents worked for 11 to 15 old ages ( 12.3 % ) , 19 respondents worked for 16 to 20 old ages ( 9.4 % ) and 25 respondents worked as an insurance agent above 20 old ages ( 12.3 % ) .4.1.2 Cardinal Tendencies Measurement of Constructs4.1.2.1 Commission PayTable 4.6: Cardinal Inclinations Measurement for Commission Pay No. Statement Mean Standard Deviation CP1 I think the committee wage is a really of import incentive for me. 4.3448 0.75078 CP2 I am motivated by committee wage to seek my best attempts in work. 4.2562 0.73350 CP3 My occupation public presentation determine the extra committee wage when achieve higher mark. 4.2808 0.81141 CP4 I will retain the occupation because I am satisfied with the committee wage. 4.0985 0.85025 CP5 I work hard is to acquire a better committee wage in this occupation. 4.3005 0.78561 Beginning: Developed for the research Table 4.6 illustrated the cardinal inclinations measurings of committee wage. Mentioning to the tabular array above, most respondents agreed to the CP1 with average value of 4.3448. The 2nd highest was CP5 with average value of 4.3005. The 3rd and 4th highest were CP3 and CP2 which had the average value of 4.2808 and 4.2562 severally. The lowest average value was CP4 which was 4.0985. From the tabular array above, CP4 had highest standard divergence value which was 0.85025. The 2nd and 3rd highest standard divergence value was CP3 and CP5 which had 0.81141 and 0.78561 severally. The 4th highest standard divergence was CP1 with the value of 0.75078. The lowest standard divergence value was 0.73350 by CP2.4.1.2.2 Job SecurityTable 4.7: Cardinal Inclinations Measurement for Job Security No. Statement Mean Standard Deviation JSM1 I think occupation security is another of import incentive for me. 4.1232 0.68188 JSM2 I am motivated by the good occupation security in current occupation. 3.9852 0.74779 JSM3 I feel my current occupation is unafraid, dependable and lasting. 3.9951 0.82951 JSM4 My occupation public presentation is influenced by the occupation security. 4.0000 0.79603 JSM5 I work hard is because I ‘m afraid to loss this stable occupation. 3.7143 1.00845 Beginning: Developed for the research The Table 4.7 illustrated the cardinal inclinations measurings of occupation security. The consequence from the tabular array above, JSM1 had the highest average value of 4.1232. The 2nd highest average value was JSM4 which was 4.000. The 3rd highest was JSM3 with the average value of 3.9951 which was followed by JSM2 which had a average value of 3.9852. The JSM5 had the lowest average value of 3.7143. Harmonizing to the Table 4.7, the JSM5 had the highest standard divergence value of 1.00845. The 2nd highest standard divergence value was JSM3 which was 0.82951. The 3rd highest was JSM4 with the standard divergence value of 0.79603 which was followed by JSM2 which had a standard divergence value of 0.74779. The lowest standard divergence value was JSM1 which was merely 0.68188.4.2.2.3 Opportunities for Advancement and DevelopmentTable 4.8: Cardinal Inclinations Measurement for Opportunities for Advancement and Development No. Statement Mean Standard Deviation AD1 I think the chances for promotion and development is another of import incentive for me. 4.1034 0.79238 AD2 I am motivated by chances for promotion and development in current occupation. 4.0443 0.75321 AD3 I have more chances for promotion and development in current occupation if I retain the occupation for longer period of clip. 4.0936 0.78734 AD4 I have more chances to direct for preparation, learn accomplishment and developing myself in current occupation. 4.1084 0.81330 AD5 I work hard is to acquire more chances for promotion and development in this occupation. 4.1675 0.74563 Beginning: Developed for the research Table 4.8 illustrated the cardinal inclinations measurings of chances for promotion and development. In the term of average value, AD5 had the highest mean of 4.1675. Second, it is followed by AD4 of 4.1084, AD1 of 4.1034 and AD3 of 4.0936. The AD2 had the lowest average value of 4.0443. From the Table 4.8, the AD4 had the highest standard divergence value of 0.81330. Second, it is followed by AD1 with the standard divergence value of 0.79238, AD3 with the standard divergence value of 0.78734 and AD2 with the standard divergence value of 0.75321. The lowest standard divergence value was 0.74563 by AD5.4.2.2.4 Work ItselfTable 4.9: Cardinal Inclinations Measurement for Work Itself No. Statement Mean Standard Deviation W1 I have more independent when I ‘m working. 4.1724 0.78654 W2 I have more assurance to accomplish the mark of the occupation. 4.2217 0.75461 W3 I am willing to work hard with current occupation. 4.2069 0.72886 W4 I am non willing to alter another occupation even if I get other occupation in elsewhere. 3.8227 0.98909 W5 I think my ability can execute good in current occupation. 4.1527 0.75211 W6 I am proud to work with current occupation. 4.2020 0.77944 Beginning: Developed for the research The Table 4.9 above, it illustrated the cardinal inclinations measurings of work itself. Based on the tabular array, W2 had the highest average value of 4.2217. The 2nd highest was W3 that had 4.2069 of average value. The 3rd highest was the W6 that had 4.2020 of mean value which was followed by, the W1 and W5 which had the average value of 4.1724 and 4.1527 severally. The W4 had the lowest average value was 3.8227. In the tabular array above, the highest standard divergence value was 0.98909 by the W4. The 2nd highest standard divergence value was W1 which was 0.78654. The 3rd highest standard divergence value was the W6 that had 0.77944 which was followed by, the W2 and W5 which had the standard divergence value of 0.75461 and 0.75211 severally. The lowest standard divergence value was W3 which was 0.72886.4.2.2.5 Job SatisfactionTable 4.10: Cardinal Inclinations Measurement for Job Satisfaction No. Statement Mean Standard Deviation JS1 In general I am satisfied with my occupation. 4.1330 0.74265 JS2 I am satisfied with the flexibleness of the on the job hours in current occupation. 4.3054 0.68601 JS3 I am satisfied with the committee wage strategy in current occupation. 4.0394 0.78250 JS4 I will retain the occupation because I am satisfied with the occupation security. 4.0148 0.74779 JS5 I am satisfied with the accomplishment in current occupation. 4.0591 0.78125 JS6 I am happy with the manner my co-workers and higher-ups treat me. 4.0936 0.79982 JS7 I am truly enjoyed with my occupation. 4.2266 0.81925 Beginning: Developed for the research Harmonizing to Table 4.10, it illustrated the cardinal inclinations measurings of occupation satisfaction. Based on the tabular array, most respondents agreed to the JS2 with average value of 4.3054. The 2nd highest was JS7 that had 4.2266 of average value. The 3rd and 4th highest average value was JS1 and JS6 which is 4.1330 and 4.0936 severally. The 5th highest was JS5 with the average value of 4.0591 which was followed by JS3 which had a average value of 4.0394. The lowest average value was the JS4 which was merely 4.0148. In the term of standard divergence value, JS7 had the highest standard divergence of 0.81925. Following, it is followed by JS6 of 0.79982, JS3 of 0.78250, JS5 of 0.78125 and JS4 of 0.74779. The two lowest standard divergence values were JS1 of 0.74265 and JS2 of 0.68601.4.2 Scale Measurement4.2.1 Internal Reliability TestTable 4.11: Reliability Statistic Variable Cronbach ‘s Alpha N of Items CP 0.881 5 JSM 0.805 5 Ad 0.911 5 Tungsten 0.899 6 Joule 0.901 7 Beginning: Developed for the research The dependability trial is test the consistence and truth of the IVs and DV which the credence degree of cronbach ‘s alpha more than 0.70. Based on the Table 4.11, the highest cronbach ‘s alpha is chances for promotion and development standing at 0.911. The 2nd highest is occupation satisfaction which the cronbach ‘s alpha is 0.901 followed by committee wage and work itself which the cronbach ‘s alpha are 0.899 and 0.881. The lowest cronbach ‘s alpha is occupation security standing at 0.805. From the consequence, overall the cronbach ‘s alpha for all variable are more than 0.70. Therefore, the questionnaire in this research is dependability and consistence.4.2.2 Normality TestThe trial of normalcy, histogram with normal curve, P-P secret plan and spread secret plan diagram are being used to demo the normal distribution of informations. Table 4.12: Trials of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. Standardized Residual .055 203 .200* .988 203 .091 a. Lilliefors Significance Correction * . This is a lower edge of the true significance. Beginning: Developed for the research This research uses 203 study questionnaires which the sample size is more than 100. Therefore, Kolmogorov-Smirnov ‘s trial is usage for proving the normalcy as it is used to analyze larger sample size ( n & gt ; 100 ) . Based on the Table 4.12, the important value of Kolmogorov-Smirnov ‘s trial is equal to 0.200, which is more than 0.05. Thence, as the normalcy premise is achieved, the informations can be assumed to be usually distributed. Besides, based on the Appendix D, the histogram with normal distribution curve of trade name trueness demoing a sensible bell-shaped and therefore the informations can be assumed to be usually distributed. In add-on, from the Appendix E, the normal chance secret plan of trade name prevarications near to the fanciful heterosexual line which is lifting from the lower-left corner to the upper right corner and demo a upward incline of the graph. This can connote that the informations can be assumed to be usually distributed.4.2.3 Multicollinearty TestBased on the Table 4.14, the correlativity coefficient between IVs were 0.581 for CP and JSM, 0.496 for CP and AD, 0.528 for CP and W, 0.604 for JSM and AD, 0.612 for JSM and W, and 0.657 for AD and W. Therefore, these correlativity coefficients are high between IVs but there is no multicollinearity job since they are all less than 0.8 in this research ( Field, 2005 ) . Furthermore, harmonizing to Table 4.13 the tolerance and VIF value for CP ( 0.606 1.650 ) , JSM ( 0.493 2.029 ) , AD ( .497 2.013 ) and W ( .478 2.094 ) are more than 0.1 and less than 10 severally in the multicollinearity statistics. Hence, multicollinearity job do non show in this research ( Hair et al. , 1992 ) . Table 4.13: Multicollinearity Model Collinearity Statisticss Tolerance VIF CP_Average .606 1.650 JSM_Average .493 2.029 AD_Average .497 2.013 W_Average .478 2.094 Beginning: Developed for the research4.3 Inferential Analysis4.3.1 Pearson ‘s Correlation AnalysisTable 4.14: Pearson ‘s Correlation Analysis CP JSM Ad Tungsten Joule Commsion Pay ( CP ) 1 Job Security ( JSM ) .581** 1 Opportunities for Advancement and Development ( AD ) .496** .604** 1 Work Itself ( W ) .528** .612** .657** 1 Job Satisfaction ( JS ) .557** .659** .674** .836** 1 ** . Correlation is important at the 0.01 degree ( 2-tailed ) . Beginning: Developed for the research By implementing Pearson Correlation Coefficient, Table 4.14 illustrates the consequences of the correlativity analysis of the four independent variables ( CP, JSM, AD and W ) and one dependant variable ( JS ) . The consequence from Table 4.14 shows that p-value of committee wage is 0.000 which is less than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.557. Therefore, the analysis consequence concludes that committee wage is moderate positive correlated with occupation satisfaction. For occupation security variable, the p-value is 0.000 which is lower than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.659 which indicates there is moderate positive relationship between occupation security and occupation satisfaction. In the Table 4.14, the p-value of chances for promotion and development is 0.000 ( P & lt ; 0.01 ) and the R value is 0.674. Hence, the chance for promotion and development is moderate positive correlated with occupation satisfaction. As shown in the Table 4.14, the p-value of work itself is 0.00 which is lower than the significance value 0.01 degree ( 2-tailed ) and the R value is 0.836. As a consequence, the work itself has high positive relationship with occupation satisfaction.4.3.2 Multiple Regression AnalysisTable 4.15: Multiple Regression Analysis Independent Variables Unstandardized Coefficients Standardized Coefficients t-value Sig. Bacillus Beta Changeless .350 2.069 .040 Commission Pay .069 .074 1.610 .109 Job Security .158 .160 3.154 .002 Opportunities for Advancement and Development .130 .143 2.834 .005 Work Itself .562 .605 11.724 .000 R2 .748 Adjusted R2 .743 F 147.264** Beginning: Developed for the research From table 4.15 above, shows that the correlativity coefficient, R= 0.864, means that there is a positive correlativity between the four independent variables and dependent variable. The value of R Square is 0.748 which indicates that 74.8 % of the discrepancy in the dependant variable ( occupation satisfaction ) is explained by the 4 independent variables ( committee wage, occupation security, chances for promotion and development, and work itself ) . However, it is still leaves 25.2 % of occupation satisfaction is explained by other factors in this survey. Furthermore, harmonizing to table above, p-value ( Sig. 0.000 ) is less than alpha value 0.05, therefore, the F- statistic which equals to 147.204 is important. That mean this theoretical account is a good form for the relation between the residuary and forecasters. Therefore, the independent variables ( committee wage, occupation security, chances for promotion and development, and work itself ) are significantly explicating the discrepancy in the occupation satisfaction among insurance agents. Since the p-value is less than 0.05 and is in the cull part which H0 is rejected. Harmonizing to Table 4.15, occupation security ( p=0.002 ) , chances for promotion and development ( p= 0.005 ) , work itself ( p & lt ; 0.001 ) are important to foretell the dependant variable ( occupation satisfaction ) in this survey because their p-values ( Sig. ) are less than alpha value 0.05. From the multiple arrested development analysis, occupation security, chances for promotion and development and work itself are the of import motive factors that affect the occupation satisfaction among insurance agents in Malaysia. Among these IVs, work itself is the strongest determiner. However, the independent variable ( committee wage ) is non significantly foretelling the dependant variable ( occupation satisfaction ) . This is because committee wage ( p=0.109 ) is more than the alpha value 0.05. Therefore, a multiple additive arrested development is formed by utilizing the information from the column headed â€Å" B † shown in the tabular array 4.15 above. The arrested development equation is as below: Job satisfaction = 0.350 + 0.069 committee wage + 0.158 occupation security + 0.130 chances for promotion and development + 0.562 work itself4.4 DecisionThree independent variables ( occupation security, chances for promotion and development and work itself ) for this research are found to hold important relationship with the independent variable ( occupation satisfaction ) . However, the independent variable ( committee wage ) is non important relationship with the dependant variable ( occupation satisfaction ) . Consequences of the analysis and back uping grounds for the consequences are being discussed in the undermentioned chapter.

Power of Context Essay Essay

The power of context, written by Malcolm Gladwell, discuss’ many different social change theories such as the â€Å"Broken Windows Theory†, â€Å"Tipping Points† and the â€Å"Power of Context theory†. All of these theories were researched and studies performed to prove that we are influenced by the features of our immediate social and physical world, these shaping who we are and how we act. These theories have been seen in every part of town, Graffiti painted buildings and broken windows in vacant houses. Where there are news paper articles written about the few that have taken the initiative to turn their neighborhood around. Where neighbors rally to paint over graffiti, fix broken windows, make a park where once was a gang hangout. Where as sad as it may seem, most of the children fit into the description of the four youths who attempted to mug Goetz December 22 ,1984. Where Goetz was dubbed the â€Å"Subway Vigilante† after fighting back against he would be muggers, shooting them in the subway and later being acquitted on charges of assault and attempted murder. Goetz’ case has become a symbol of a particular, dark moment in New York City history, the moment when the city’s crime problem reached epidemic proportions or the â€Å"Tipping Point†. The â€Å"Tipping Point† where in epidemiology the â€Å"tipping point† is the moment when a virus reaches critical mass. Gladwell links these would have been muggers and the shooting to another theory, one that would change the atmosphere and quite possibly the culture of the neighborhood the thugs came from. The â€Å"Broken Window Theory† was the brainchild of the criminalogistics James Q Wilson and George Kelling. Wilson and Kelling argued that â€Å"crime is the inevitable result of disorder. If a window is broken and left unrepaired, people walking by will conclude that no one cares and no one is in charge. Soon, more windows will be broken, and the sense of anarchy will spread from the building to the street on which it faces, sending a signal that anything goes. In a city, relatively minor problems like graffiti, public disorder, and aggressive panhandling, they write, are all the equivalent of broken windows, invitations to more serious crimes.† (Gladwell, 237) The â€Å"Power of Context† theory that Gladwell writes about and the â€Å"Broken Windows Theory† are one and the same We have all heard the saying, â€Å"You are what you eat†. The same would be true in you are what you surround yourself with. I feel that the â€Å"Power of Context† is true in the context that if you live in a home you are proud of, you will be more confident in your self worth. If you surround yourself with people more intelligent than yourself, you will increase your mental aptitude. Those that set goals and stick to them seem to achieve more than those who never set goals. I feel that Gladwell did a great job in personifying the theories and arguing their relevance. Works Cited Gladwell, Malcolm. Gladwell, Malcolm. The Power of Context. Boston: Houghton Mifflin Harcourt and Publishing Company, 2009. View as multi-pages