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(Solution) CIPD 7C004 Task 2.1 Differences of Primary and Secondary Data

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The use of primary data entail using the first-hand data obtained by a researcher directly. This is different from secondary data which is a form of desk research obtained from the readily existing sources (Cerar et al., 2021; Silevew, 2019).

Considering this research, primary and secondary data was referred to. The rationale of this is that primary data is appropriate as it facilitate use of survey and observations while qualitative primary data being obtained by use of focus groups, interviews and observations. The secondary data is conversely important to source the available literature and apply it to support primary data obtained through the application of interviews and questionnaires.

Additionally, considering this research, through the application of Almarai entity, primary and secondary sources which are qualitative (textual) and quantitative (statistical) were obtained. Additionally, through the application of stay interviews in Almarai, this entail a form of secondary data sourced. Therefore, application of primary and secondary data to analyse turnover scope lead to possibility of managing issues with one strategy by using the strength of the other.

The decision of using either primary or secondary data is dependent on existence and detailed nature of the data. In an event the secondary data is not available/insufficient, sourcing of primary data is identified as essential to answer the research questions. Also, data, whether primary or secondary could either be qualitative (textual) or quantitative (statistical). The quantitative primary data can be sourced by use of surveys or observations, with qualitative primary data being sourced by use of interviews, focus discussions and observations (Silevew, 2019). Taking into account of this research, data is sourced by use of data from qualitative (semi-structured interviews) and quantitative (survey by use of questionnaire) data from the primary sources by use of case study design. The data sourcing is data in a sequential manner from the interviews and later using surveys.

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In summary, this report has focused on evaluation the selection criteria and sourcing strategies for enabling appropriate selection of suppliers for goods, services and works. Through a focus on Ericsson organisation different spend categories, a set of sourcing approaches have been identified. The approaches have been evaluated through the application of different tools and techniques. This is with different available data from Ericsson spend categories being evaluated in detail. Further, for the different approaches, the risk analysis and potential challenges impacting their implementation. The findings indicate that there is no one-size-fits all approach for selection criteria and sourcing strategies. The best practice is dependent on the organisation category of spend and suppliers availability. A set of recommendations can be provided for successful formulation of selection criteria and sourcing strategies. These include;
  • In SWOT analysis, one of the identified weakness is failure to use technologies in their sourcing approach. As a best practice, Ericsson can make investments in modernised technology including AI, machine learning in improving their sourcing strategies
  • Since there is no one-size-fits all approach of selection criteria and sourcing strategies, the best practice would be to harness collaborative and partnerships relations for success of their sourcing.
  • Pursue a holistic L&D practices by the PS&M in order to understand the best sourcing approach which would be in a position of enhancing the overall process of sourcing
  • Further, from the risk analysis, some of the risks identified are not UpToDate. Hence, it is important continuously updating supply chain networks for identifying potential risks which are internal and external.