How to become a market leader in a highly competitive hospitality industry in Copenhagen: Based on an analysis of Scandic Kødbyen Hotel
Bibliographic record
Abstract
The thesis explores the Copenhagen hospitality industry and the current situation on the market. The research question: How to become a market leader in a highly competitive hospitality industry in Copenhagen is based on an analysis of one of the Scandic hotels in the city. The objectives are to discover recent changes in guests' expectations and how they influence the industry. Then, identifying factors that make a hotel stand out in the crowded market like Copenhagen, assessing the current position of Scandic Kødbyen and investigating its opportunities but also threats. Lastly, the research aims to draw a conclusion based on the gathered data. The theoretical framework contains theories used to investigate the topic. The PESTEL analysis was made to identify external factors influencing companies like hotels in Copenhagen. Another tool chosen to support the research was Porter’s Five Forces. The analysis shows how competitive the market is and what to expect from it. The theoretical framework was based on the secondary data from reliable sources like Denmark Statistics, literature and articles available online. The primary data was gathered through semi-structured interviews. The participants are managers of the Scandic Kødbyen Hotel who represent a great source of knowledge and experience in hospitality. The method was chosen due to its flexibility and the possibility of gathering a lot of qualitative data. The answers were recorded and written down in keywords and main ideas. All of these were placed in a matrix to identify similarities and conclusions. The chapter was followed by key results and findings. The conclusion answering the research question is made up of a few aspects. The research has shown that Copenhagen is a competitive city for the hospitality sector. The region is growing and attracting more and more tourists. New investments are coming in this sector creating more competitive environment. Answering the question of how to become a leader in the hospitality in Copenhagen a hotel needs to focuses on a few aspects. Firstly, guests expect new technologies and smart solutions, which makes traveling faster and more convenient. Secondly, taking over competitors start from the inside of a company. Hotel must invest in its employees, provide training and get qualified leaders. A strong team is a key for guests satisfaction. The next aspect is listening and considering guests feedback and needs. Without understanding of these and making improvements it is not possible to build connection with guests and make them loyal to the brand. Lastly, the design and ambience are very important nowadays. People appreciate aesthetic and care more about how the place makes them feel. If a hotel wants to have a strong position on the Copenhagen’s market, the mentioned aspects needs to be followed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".