Digitalisation in the Supply Chain Management and Logistics of Tesco during Its Operation in Germany Assignment Sample

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 Introduction of Digitalisation in the Supply Chain Management and Logistics of Tesco during Its Operation in Germany Assignment

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1.1 Background of the Research

Generally, the researcher has taken and selected the topic regarding “Digitalisation in the Supply Chain Management and Logistics of Tesco during Its Operation in Germany”. When the pandemic broke out in 2020, Tesco, a major British grocery and general goods company, was confronted with problems it had never faced. As a result of Tesco's designation as an "important" shop, customers flocked to its locations at a time when others were forced to shut. Demand for online shopping skyrocketed as more and more people choose to purchase from the comfort of their own homes (Jaehrling et al., 2018). Tesco reacted by expanding its online order capacity to more than 1.5 million a week. In order to keep up with the increased demand, each location now has a tiny automated fulfilment centre. In the following year, the store wants to expand its online delivery capabilities by opening several additional fulfilment facilities.

1.2 Problem Statement of the Research

Due to the outbreak of the COVID-19 pandemic, the researcher has demonstrated that Tesco was facing different kinds of threats in order to efficiently manage its organisational supply chain management (Pandey et al., 2020). Therefore, this study has been taken into consideration for improving the knowledge about different digital features for successfully managing the supply chain system of the organisation.

2. Research Aims, Objectives and Questions

2.1 Research Aims

Generally, this study of the research aims to effectively demonstrate the information about the digitalisation in the supply chain management and logistics of Tesco during its operation in Germany.

2.2 Research Objectives

  • To identify the importance of digitalisation in supply chain management system.
  • To demonstrate the impact of digitalisation in the supply chain and logistics system of Tesco.
  • To evaluate the data about supply chain management system of Germany.
  • To analyse the significance of using German supply chain management system for business of Tesco.

2.3 Research Questions

  • What is the importance of digitalisation in the supply chain management system?
  • How digitalisation impact the supply chain and logistics system of Tesco?
  • How the supply chain management system helps Tesco in Germany?
  • What is the effectiveness of German supply chain system?

3. Literature Review

According to the statement of Rimmer and Kam (2018), JIT manufacturing was only used by a few large corporations since the technology to support it was too costly. A digitised supply chain now makes it possible for every business to avoid leaving important decisions and supplies to the last minute. This improves decision-making and reduces expenses. As more data is gathered, evaluated, and distributed, digital supply chains enable organisations to anticipate future needs rather than functioning on a reactive basis. A digital supply chain means that all of the data points acquired during daily supply chain activities are meticulously documented. As per the statement of Vilko and Hallikas (2019), businesses, on the other hand, may make extensive use of big data approaches in order to improve operational efficiency. Having a shortage of a product results in a decrease in income for a company. An efficient digital supply chain may prevent inventory shortages and over-ordering, both of which can lead to steep discounts.

Based on the statement of Hallikas et al. (2019), after a costly foray into the US market, Tesco announced in April that it would be pulling out of the country. However, technical, legal, and economical variables were found in the papers to be the cause of a decline in returns on capital employed (ROCE). The word "capital utilised" may seem like accounting speak, but the IT community is familiar with the concept. One of the driving motivations behind a supply chain analytics initiative that has saved Tesco £100 million annually was an understanding of its significance. Tesco's project manager for supply chain growth, a considerable part of capital is locked up in inventories maintained at depots, for instance. As stated by Schleper et al. (2021), a Teradata database server has four years of sales information for the company's distribution warehouses, which are simulated using Matlab modelling tools from MathWorks. It is possible to see where stock may be streamlined by feeding demand projections into the model, the effort has saved roughly £50 million by reducing inventory levels.

The software industry is expected to generate $33.13 billion in revenue by 2022. At US$13.24 billion in 2022, the market's most lucrative sector is Enterprise Software. A CAGR of 4.65 percent is predicted for revenue, resulting in a market volume of US$41.58 billion by 2027. Piroth, Rüger-Muck and Bruwer (2020) stated that the United States is expected to earn the greatest amount of revenue globally (US$303.10 billion in 2022). As a result, Tesco stands to gain from the adoption and implementation of the German supply chain management system.

4. Methodology, Method and Sampling

4.1 Research Methods

The researcher has opted to choose the most acceptable and effective procedures for this research study after evaluating all aspects of the investigation. The researcher will use interpretivism to this study in order to better understand the phenomenon. Researcher's understanding of data acquired for "Digitalisation in the Supply Chain Management and Logistics of Tesco during Its Operation in Germany" will be shown in this way (Etikan and Babtope, 2019). Deductive research methods, on the other hand, will be used by the researcher in this investigation. In addition, the researcher will use the explanatory study design technique.

4.2 Research Sampling Method

Purposeful sampling, also defined as purposive and selected sampling, is a sampling strategy used by qualitative researchers to identify individuals who can offer extensive data on the topic under inquiry. Each participant's eligibility for the study is based on meeting a set of criteria developed by the qualitative researcher (Airori, Baker and Turk, 2022). A good instance of this would be a learner doing research on how nurses at a particular hospital view leadership skill. Secondary qualitative data will be collected using a purposive sampling technique.

4.3 Data Collection and Data Analysis Process

To answer a research question, test a hypothesis, and assess the results, the researcher must first gather data from all applicable resources. Therefore, among the fundamental four kinds of data collection process, the researcher will utilise the secondary qualitative data collection process. Moreover, Content analysis is a method for determining the existence of certain words, themes, or ideas in a given qualitative dataset (Jeannesson et al., 2022). Quantifying the frequency with which certain words, topics or ideas appear in a text and establishing their correlations may be accomplished via the use of content analysis. Therefore, the researcher will utilise the content analysis method within this research study for effectively and successfully analyse all the data and information regarding the study.

5. Project Plan

Periodic Activities

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Week 7

Undertaking Research

Setting Aims and Objectives

Conducting Literature Study

Implementation of Methods

Data Collection

Data Analysis




(Source: As created by author)

During the conduction of the research study, the researcher has systematically accomplished the research. In the first week, the researcher has accomplished the meeting with his or her seniors to undertake the topic for conducting the research. Moreover, the research will set the aims and objectives of the researcher through first and second week. In this way, in the second week the researcher will conduct the literature search through online. Thus, in the second and third week, the researcher will implement and take decisions for using different methods for the successful accomplish of the entire research. Moreover, on the other hand, by implementing the method, the researcher will collect the data in the third week and will analyse the data through fourth and fifth week. Thus, the researcher will submit this study in the sixth week by successfully accomplishing the entire research.

6. Ethical Consideration

Gatekeepers' professional ethics may also provide a barrier to contacting participants and asking for their informed permission. This is especially true if the conversation is on sensitive themes. As part of our research, the police stressed the dangers of contacting children and their families, particularly those who had suffered abuse or neglect. Families should be able to go back to their normal routines after experiencing such a traumatic event. Because they understood from previous experience that it was impossible to foresee who would welcome being called and who would feel disturbed, the police decided not to seek for informed permission (Robertson, 2021). In academia, this form of argument is well-known. 'Asking informed permission might create such a strain for the subject that one must dread psychological injury,' according to Dutch biomedical archival health study.

Because of the time delay since the data were captured, gatekeepers do not accept post-hoc requests for permission. 'When the abuse and interview occurred long ago, it is more possible that the kid and its parents have achieved a stable balance and putting the torture back in mind is therefore more invasive,' or, on the other side, 'when the information are elder, the emotions and sensibility may have reduced' (Crespi-Abril and Rubilar, 2021). As part of the initiative, researchers sought to minimise the danger of interfering with criminal investigations, but they also intended to incorporate the most modern rules for conducting these interviews.


Airori, A.J., Baker, T.J. and Turk, J.K., 2022. The Impact of Sampling Methodology on Soil Bulk Density Measurement by the Clod Method. Communications in Soil Science and Plant Analysis53(3), pp.317-326.

Crespi-Abril, A.C. and Rubilar, T., 2021. Moving forward in the ethical consideration of invertebrates in experimentation: Beyond the Three R’s Principle. Revista de Biología Tropical69(Suppl. 1), pp.346-357.

Etikan, I. and Babtope, O., 2019. A basic approach in sampling methodology and sample size calculation. Med Life Clin1(2), p.1006.

Hallikas, J., Korpela, K., Vilko, J. and Multaharju, S., 2019. Assessing benefits of information process integration in supply chains. Procedia Manufacturing39, pp.1530-1537.

Jaehrling, K., Gautié, J., Keune, M., Koene, B.A. and Perez, C., 2018. The digitisation of warehousing work. Innovations, employment and job quality in French, German and Dutch retail logistics companies.

Jeannesson, C., Leal, L., Coste-Delclaux, M. and Jouanne, C., 2022. Methodology for an efficient statistical cross sections sampling in the unresolved resonance range. Annals of Nuclear Energy166, p.108794.

Pandey, S., Singh, R.K., Gunasekaran, A. and Kaushik, A., 2020. Cyber security risks in globalized supply chains: conceptual framework. Journal of Global Operations and Strategic Sourcing.

Piroth, P., Rüger-Muck, E. and Bruwer, J., 2020. Digitalisation in grocery retailing in Germany: An exploratory study. The International Review of Retail, Distribution and Consumer Research30(5), pp.479-497.

Rimmer, P.J. and Kam, B.H., 2018. Consumer logistics 1.0: Surfing the Digital Wave. Edward Elgar Publishing.

Robertson, S., 2021. Transparency, trust, and integrated assessment models: An ethical consideration for the Intergovernmental Panel on Climate Change. Wiley Interdisciplinary Reviews: Climate Change12(1), p.e679.

Schleper, M.C., Gold, S., Trautrims, A. and Baldock, D., 2021. Pandemic-induced knowledge gaps in operations and supply chain management: COVID-19’s impacts on retailing. International Journal of Operations & Production Management.

Vilko, J. and Hallikas, J., 2019. NETWORK VALUE CREATION IN DIGITALIZED SUPPLY CHAIN PROCESSES. In Symposium on Logistics (p. 250).

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