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Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
As banks have to close branches in the current low-interest environment and as customers show an increasing preference for online channels, existing channels of branch-centric banks no longer can guarantee to suffice the needs of the omni-channel consumer. Online consultation through video chat, called video banking, is a possible solution for these issues. In order to keep marketing activities effective and cost-efficient, it is of interest for the banking sector to define a socio-demographic target group for video banking.
Thus, the objective of this thesis is to find socio-demographic characteristics which influence the willingness to use video banking. The characteristics deemed as plausible predictors are then tested for their suitability as such through bivariate and multivariate analysis of an empirical study conducted among U.S. bank customers with internet access. The goal of the multivariate analysis is to find the regression model that best predicts the willingness to use video banking. Depending on the outcome, recommendations will be made about the definition of a target group for video banking.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.
The main goal of the study is to analyze students’ buying intention towards e-learning program by developing a structural model of e-learning acceptance by the students and analyzing perceived usefulness, perceived ease of use, attitudes, subjective norms, motivations and buying intentions according to the developed model.
The thesis introduces a case study research presenting the transfer pricing problem of a selected MNE. Hereby, the researcher derives an appropriate method for the case and concludes with a comparison of theory and practice. The theoretical part of the thesis evaluates existing transfer pricing methods as explained by the OECD, Germany and the USA. The second part is about the choice of the research methodology, case study research and expert interview.
The third part first introduces the case study, analyzes a theoretical framework of the transfer pricing process and evaluates the existing transfer pricing methods, which allows for the derivation of the most appropriate transfer pricing method for the case. The fourth part concludes the research by applying the derived transfer pricing method, the Cost Plus Method, to the particular case study. By combining theoretical and practical approaches, a solution to the problem is determined.