Economic Analysis of Business Performance

    Economic Analysis of Business Performance
    Coursework can be submitted any time up to 3.00pm on the 12
    th

    August 2013.
    Please be advised that the re-sit assessment appears on the Moodle site and can be
    seen by all students. However, you are only required to undertake the assessment if
    advised by the Progression and Award Board, usually at the end of June.
    Please check your Banner Student Profile on a regular basis for notification of any resits you will be required to undertake.
    RESIT – In Class Test
    Course Leader – Seyed Purhosseini
    You need to prepare a re-sit written assignment for the companies that have not
    previously been considered inthis course. This means preparation of a portfolio based
    on a 3000 word document described below.
    The task is to prepare a well researched document by locating reliable and good
    quality sources of economic and industrial data to discuss the responsiveness of
    business output to change in price in any of these sectors: banking, energy,
    telecommunications, iron and steel and automotives.
    Using the material presented in the course the document must use quantitative
    analysis for formulating one of following models. : Descriptive models, analogue
    models and relationship modelsto measure performance. This may include Predictive
    techniques: time-series analysis , associate forecasting, and forecast error, descriptive
    technique: net present value, annuity values, productivity and efficiency and
    calculating requirements and work measurement and statistical process control and
    queuing methods, evaluative techniques : break-even analysis , weighted score
    method, decision trees, sequencing and critical ration and optimizing techniques:
    optimizing locations and optimizing inventory and economic batch quantity.
    Alternatively the candidate can use descriptive technique: net present value, annuity
    values, productivity and efficiency, throughput efficiency in energy,
    telecommunications and automotives sectors.value-added throughput efficiency and
    calculating requirements, work measurement,statistical process control and queuing
    methods in banking, energy, telecommunications, iron and steel and automotives. It
    is also possible to use Evaluative techniques: break-even analysis in energy,
    telecommunications, iron and steel and automotives sectors, weighted score method,
    decision trees, sequencing and critical ration
    Many students choose topicsrelating to improvement in performance through
    corporate restructuring. This means examining issues relating to mergers and
    acquisitions in the sectors mentioned above.
    In practice many candidates use regression with time-series data in energy,
    telecommunications, iron and steel and automotives by examining stationary and non
    stationary variables or time –varying volatility in banking.
    Students will be required to undertake a set of exercises based on the files that are
    available on the Moodle documents for the course in the four topics covered during
    the 12 weeks of taught lectures and tutorial that would build into a portfolio.
    The individual written work will be assessed according to its clarity, thoroughness,
    application to real world situations, and use of appropriate citation techniques you
    need to submit a document following the normal procedures of term papers at
    Greenwich University. The work isexpected to be your own work.
    Structure of the resit coursework
    The document should have the following sections:
    ? Abstract – rationale for the study
    ? Introduction – the outline of the paper
    ? Literature review – the body of knowledge
    ? Theoretical background / hypotheses – the purpose & general procedures
    ? Methodology – the way study will be conducted
    ? Discussion – debate
    ? Conclusions – results/outcomes
    ? Suggestion of future research
    ? Bibliography or list of references
    The individual submissions will be markedaccording to a specific marking Criteria
    described below. It is important that candidates acknowledge the sources from which
    information or ideas came. These sources should be noted both within the body of
    work as a citationand more fully at the end in a bibliographyor list of references.
    This allows the marker of the coursework to trace sources easily. In this way the
    candidates will avoid the charge of plagiarism, which means using the work of others
    without acknowledging your source of information or inspiration. Plagiarism is
    treated very seriously. It isexpected that the Harvard style for citation is used. The
    major tasks of the candidates are described below.
    Background Clearly explains problem/issue justifying why this is
    important to write about.
    portfolio questions objectives Provides a clear statement ofwhat the term paper or project
    seeks to achieve. Derived and flowing from the previous
    section.
    Interprets question well Provides a convincing interpretation of the ‘research
    question’ pursued.
    Indicative literature review Demonstrates knowledge of the relevant literature by
    researching and identifying key debates, concepts and
    theories form a variety of academic sources.
    Clarifies how the paper fits into the debate within the
    literature and how this literature will be used to develop the
    methodology, if one is required.
    Methodology The literature review leads into an appropriate section on
    the discussion of methodology
    Access & resource implications Reflects on and evaluates the resources required.
    Conclusions and
    Recommendations
    Well-rounded discussion of any main conclusions and
    recommendations arising from the research undertaken.
    Overall Structure Uses appropriate format and presents items in a logical
    structure.
    Uses the Harvard referencing system correctly
    Marking Criteria for re-sit assessment for ECON1100-
    Marks allocated
    to criteria:
    Criteria
    20% Locating Appropriate Data/Sources of Information
    30% Construction of Appropriate and Accurate Economic Measures
    20% Interpretation of Results
    20% Critique of Results
    10% Referencing
    10% Writing and Presentation

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