帮写留学生作业栏目提供最新帮写留学生作业格式、帮写留学生作业硕士论文范文。详情咨询QQ:1847080343(论文辅导)

英国作业抄袭率是多少?

日期:2020年03月08日 编辑:ad200904242025371901 作者:无忧论文网 点击次数:5287
论文价格:免费 论文编号:lw202002292022259088 论文字数:2928 所属栏目:帮写留学生作业
论文地区:其他 论文语种:中文 论文用途:论文写作指导 Instruction
tructions has laid the foundations for knowledge transfer, automation and eventual offshoring (Drucker, 1981) – strategies that continue to be implemented in many multinational corporations today as management theory, and management itself, evolves with changing times (Witzel and Warner, 2013). Incentive schemes are still widely recognized as an effective means to encourage higher performance and are a standard component of most sales compensation packages. Meanwhile, Taylorism’s simplification of skilled work and the elimination of unskilled work represents a central tenet of business process engineering techniques such as Six Sigma and lean manufacturing (Head, 2003). By the same token, modern quality assurance, operations management and total quality management methodologies arguably have their roots in scientific management. In this way, scientific management transcends the narrower confines of Taylorism by means of its direct and indirect influence on those subsequent evidence-based methodologies that also attempt to treat management and process improvement systematically as a measurable, scientific problem (Witzel and Warner, 2015).

 英国作业抄袭

Discussion of how Scientific Management Applies to Microsoft

Taylor’s original thinking was informed by the shop floor processes of heavy industry. As such, it would be easy to assume its principles would be largely irrelevant in an industry as complex, innovative and knowledge intensive as Information Technology. Indeed, Bill Gates’s professed values of entrepreneurship, ownership, creativity, honesty, frankness and open communication appear to stand in opposition to the standardised work processes and strict division of labour that Taylorism champions. However, on closer examination it becomes evident that scientific management still exerts a significant influence within Microsoft and on how it conducts its business.


As with all large multi-national corporations, specialisation and division of labour is very much in evidence at Microsoft. There is a clear division between functional specialists such as software developers, project managers, marketing, sales, HR, finance and legal. As Taylorism advocates, their roles have written job descriptions with clearly defined skills and competencies to ensure employees capabilities and motivations are carefully matched to their position. Furthermore, their performance is supervised and measured regularly using SMART criteria (Specific, Measureable, Achievable, Results-based, and Time-specific) in a way that echoes Taylor’s emphasis on monitoring and measuring.


There are a number of colourful stories that depict the results-orientated culture that Microsoft has relied on historically in its drive for success (see, for example, Shaw, 2004). Until recently, Microsoft employed a controversial management system called ‘stack ranking’ which measured performance using a standard distribution curve. Whilst those at the top received bonuses and promotions, those at the bottom were shown the door (for further details see B. R., 2012). Although this was intended to motivate performance, employees found it oppressive. Developers sought to avoid working with top performers, who threatened their own ranking, and as a result free thinking, innovation and collaboration stagnated. Microsoft abandoned stack ranking in 2013, but it is evident that performance reviews and systems such as these owe a debt to Taylor’s principle of performance incentivisation through pay and reward. Indeed, Bill Gates’s comment on workers and their value points towards a scientific management heritage: “A great lathe operator commands several times the wage of an average lathe operator”, Bill Gates points out, “but a great writer of software code is worth 10000 time the price of an average software writer” (Schumpeter, 2015, p. 1).


Microsoft’s business model relies on scientific management’s requirement to challenge received wisdom and to find new and better ways of doing things. This app