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As the service industry continues to grow in all aspects it is becoming clearer that as consumers have more options companies have to find different ways to distinguish themselves from their competition. One of the ways to do this is pricing, although some firms are still using old forms of pricing most are now gravitating towards newer more unconventional methods.
The purpose of this research was to analyze different pricing strategies and how they affect consumer purchasing behavior. The study looked at new forms of pricing such as Pay what you want, more conventional pricing in the service industry which was Dynamic pricing and a controversial form of pricing which was partitioned pricing.
This thesis contains 6 chapters. The first chapter will be an introduction and literature review, Chapter 2, 3 and 4 will represent the different pricing mechanisms respectively Chapter 5 will compare and summarize the pricing strategies and Chapter 6 will provide the conclusion and limitations
This Thesis comes to the conclusion that different pricing strategies invoke different behavioral characteristics in consumers. Pricing strategies can either affect consumer behavior negatively or positively. Pay what you want pricing influences consumer behavior the most in a positive way whilst Partitioned pricing will cause increase consumers’ willingness to purchase a service. Traditional methods such as dynamic pricing affect consumer behavior to a lesser degree. In comparison with the other forms of pricing does not affect consumer behavior positively.
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.
Today’s workplace is composed of three different generations, which are considered to be substantially different from each other. Popular press and academics defend that neglecting to address these differences can generate negative organizational outcomes. Therefore, there is a growing body of research recommending generational specific practices to minimize the effects of generational differences in organizations. Nevertheless, not every practice tends to be based on empirical evidence on generational differences, which raises doubts about its effectiveness. The goal of this paper is to propose reverse mentoring as a practice to help organizations understand and manage generational differences better. To achieve this goal, a summary of published secondary data on empirical evidence of generational differences in the workplace was gathered, and the findings were linked to the function/outcomes of reverse mentoring, which allowed for the practice to be recommended based on substantial empirical evidence. Moreover, primary qualitative research was gathered through interviews to support the findings. Despite the limitations encountered, reverse mentoring is proved to be a long-term beneficial tool to understand and manage generational differences in the workplace.
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.