Refine
Document type
- Bachelor Thesis (2)
- Master's Thesis (1)
Language
- English (3)
Has full text
- No (3)
Is part of the Bibliography
- No (3)
Keywords
- Artificial Intelligence (3) (remove)
Course of studies
The dynamic and constantly changing global competitive environment requires the development of advanced technologies and new operating procedures for a company´s internal processes. Human Resource Management bears the responsibility of assisting the organization in overcoming these challenges and effectively reshaping its procedures. This bachelor's thesis investigates the detailed process of implementing a Global Job Catalogue (GJC) at a company. The purpose and goal of this study is to evaluate whether the implementation of a GJC offers advantages, using an automotive company as an example. It analyses the practical application of a GJC and its integration into the Human Resources Department. Furthermore, a focus on the challenges and benefits of the implementation and integration process will be provided, including the use of innovative technologies such as Artificial Intelligence (AI) and Skills Management. To achieve the stated goal, semi-structured interviews with HR personnel from the automotive company have been carried out. The results of the study identify the benefits of a comprehensive GJC for each stakeholder, such as increased transparency, efficiency, and consistency across the organization. However, it also highlights the challenges associated with the implementation process, including the strict timeframe and the simultaneous pursuance of multiple relevant project components. Based on these findings, recommendations for the use case are derived, and a thorough conclusion is provided.
The sector of supply chain risk management has been expanding for several years now, with the goal to not only prepare organizations to recover after supply-chain disruptions but also mitigate risks to reduce losses.
One of the most remarkable techniques in the field is the Artificial Intelligence technology, which owing to its effectiveness and efficiency, allows humans to develop new solutions to predict or prevent a great variety of supply-chain disruptions.
This paper aims to forecast the future state of the Artificial Intelligence technology in Europe by 2035 with the use of the INKA 4 scenario manager software. A total of four areas of influence –– i.e., technological, financial, legal, and social –– were identified.
From those, 11 descriptors were created based on relevant scientific literature and were inserted in the INKA software to develop the scenarios. This process resulted in three clearly differentiated scenarios that exhibit high probabilities and positive outlook for the Artificial Intelligence technology to be widely integrated in supply chain risk management systems in Europe by 2035.
Artificial Intelligence (AI) is often said to increase efficiency which is why it is especially interesting to companies seeking possibilities to improve existing processes. Consequently, this thesis, written in cooperation with the Corporate Communications and Marketing / Public Affairs department at Marquardt GmbH, explores opportunities in this field by determining prerequisites that should be met when considering working with AI as well as risks that should be taken care of. In order to determine the department’s level and progress in the field of AI, the employees involved in the existing tasks and processes completed a questionnaire, resulting in the department being at the lowest level. Moreover, providers of tools within the fields of social bots, document classification, content marketing, media planning and sentiment analysis are compared with the help of utility analyses, allowing for a recommendation regarding what the next steps of the department should be. The fields were chosen premised on the emplyoees’ current tasks while information required for the analyses was obtained by contacting the providers as well as their websites. Based on findings of the thesis, the department is recommended not to follow the trend of AI immediately as the effort required would be disproportionate to the return.