Refine
Year of publication
Document Type
- Article (32)
- Part of a Book (19)
- Workingpaper / Report (18)
- Conference Proceeding (7)
- Course Material (3)
- Doctoral Thesis (1)
Keywords
- Innovation (6)
- Business Case (3)
- Creativity (3)
- Entrepreneurship (3)
- Corporate Creativity (2)
- DOAJ (2)
- Kreativität (2)
- Logistik (2)
- A_FBMV (1)
- Arbeitsplatz (1)
Department/institution
Innovation Spaces: Einfluss der physischen Arbeitsumgebung auf kreatives Denken in Büroumgebungen
(2020)
Das vorliegende Working Paper untersucht den Einfluss der physischen Arbeitsumgebung auf die Kreativität in Unternehmen. Dabei werden sowohl Aspekte der individuellen Kreativität als auch der Corporate Creativity (organisationalen Kreativität) betrachtet. Das Ergebnis ist eine Raumtypologie, die Funktionen eines Raumes in die beiden Achsen „Handeln vs. Geschehen-Lassen“ und „Rückzug vs. Begegnung“ einteilt und dadurch vier unterschiedliche Raumtypen im Hinblick auf die Kreativität unterscheidet. Diese vier Raumtypen sind die Grundlage für das Verständnis von Innovation Spaces – räumlichen Flächen im Unternehmen, die die Kreativ- und Ideenarbeit unterstützen. Das Wirken und die Ausgestaltung dieser unterschiedlichen Funktionen wird anhand von zwei Umsetzungsbeispiele von realisierten Innovation Spaces dargestellt und anhand der Ergebnisse einer Studie zu Akzeptanz und Erfolg von Innovation Spaces untersucht. Daraus werden Handlungsempfehlungen an Unternehmen herausgearbeitet, die Innovation Spaces als Teil einer Innovationskultur im Kontext von New Work begreifen.
Geschäftsmodelle für das Internet der Dinge: Welche Geschäftsmodellinnovation passt zum Unternehmen?
(2020)
In order to determine demand as precisely as possible, many businesses use several forecasting methods. The aim of forecasting is to determine future demand based on data from the past. The use of a specific method is not always easy and depends on a number of factors. To help prospective engineers find the most suitable forecasting method for a specific problem, a forecasting game was developed and then evaluated.
The paper describes the design and the evaluation of the forecasting game. In order to provide an overview of existing forecasting methods, the first part of the paper examined the mathematical fundamentals of eight different forecasting methods and outlined the requirements for their application.
The second part of the paper describes the creation of a forecasting game in which prospective engineers can learn how to determine the appropriate forecasting method for specific scenarios. In total, five scenarios covering the three different demand patterns (linear/stationary, trend and seasonal) as well as the forecast quality methods were developed and can be played through. For each scenario, the player has to choose the most appropriate forecasting method for a specific problem based on a self-created task description. To make the game as realistic as possible, a fictional company with a background story was designed.
The last part was about the evaluation of the forecasting game. For the evaluation, a student survey to gather the opinions of the students was conducted. The results of the student survey show an overall positive evaluation of the simulation game by the students. However, the test also showed that the game takes a certain amount of time. Since only 15 of the approximately 30 students who tested the game participated in the evaluation, the results are not significant.
The links between innovativeness as a driver of economic performance, and the determinants of innovativeness have been investigated by management scholars and economists for decades, focusing mostly on “hard factors” as investment in research and development, or education. Focusing on a relatively neglected, but in times of globalization even more important aspect, the infuence of cultural characteristics on innovativeness, we apply diferent econometric models to test for links between cultural tightness and looseness on the one hand, and national innovativeness on the other hand. We fnd that cultural tightness—in the sense of homogenous and intolerant societies—has a negative link to national innovativeness, while cultural looseness—in the sense of tolerant and diverse societies—displays a positive link to national innovativeness.