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Purpose – To empirically examine the impact of a set of influencing factors on B-to-B sales call success from a buyer, salesperson and neuroscientific perspective
Design/methodology/approach – A literature review was conducted to find potential non-economic influencing factors and a set of hypotheses was generated. Subsequently, findings were verified through an expert interview. Then two surveys examining the buyer and sales perspective were carried out and hypotheses were tested. Lastly, results were aimed to be explained from a neuroscientific perspective.
Findings – The results show that trust, emotion and empathy are positively correlated to sales call success. However, communication, listening skills, empathy, appearance and personality variables were on average still perceived as somewhat important for sales call success by both survey groups. Neuroscientific literature could provide insights into the effects of trust, emotion, appearance and extroversion on sales call outcome.
Research limitations – The sample size permits only a general analysis and conclusions. Buyers participating in the survey tended to evaluate sales calls as rather successful, leading to an underrepresentation of “unsuccessful” sales calls in the data set. Neuroscientific literature provided insights but could not fully explain the suggested model.
Practical implications – Emotional and non-economic factors including trust, positive emotion and empathy should be part of a successful sales methodology so that the effects of these factors are considered to improve the outcome of sales calls
Cultural considerations for Germans working with Japanese in virtual teams for project management
(2019)
In today’s globalized and multinational working world, being part of a team that uses technology in order to cross distance, time zones and even organizations, a so-called virtual team is becoming increasingly common. While extensive research on this topic is available, most of the current research is very theoretical and only in part useful for a member of a virtual team in order to enhance performance. A clear guideline on how to effectively work in an intercultural virtual team is not existent at this point.
This research, aims to produce a clear guideline for Germans working in virtual teams with Japanese in the style of the Project Management Body of Knowledge Guide. Identifying the key challenges of virtual teams and the specific cultural differences of Germans and Japanese, based on Hofstede’s cultural dimensions model are the starting point for this research. Due to the specificity and the novelty of this research a grounded theory approach has been taken and in-depth qualitative interviews were conducted with 12 Japanese employees, who regularly work in virtual teams with Germans. Grounded in the experiences and challenges of the participants, the findings help construct a guideline for Germans working with Japanese in virtual teams.
Results are structured according to 4 of the key challenges virtual teams face: trust, communication, leadership and technology/knowledge sharing. The guideline addresses the different communication styles of Japanese and Germans, differences in hierarchical thinking as well as the more collectivistic point of view of many Japanese. The guideline, that has been produced, is intended as a quick guide including recommendations for Germans to enhance their virtual team work with Japanese.
Many articles claim that the structure of a self-organizing team achieves the highest level of agility. Therefore, this paper examines the assumption about the agility of self-organizing teams. This is done through a qualitative secondary research which answers the following questions:
1. What are the required attributes for a workforce to be agile?
2. What are the characteristics and attributes of self-organizing teams?
3. Do self-organizing teams fulfill the requirements of an agile workforce? If yes, how?
Through literature reviews the requirements that make a workforce agile and the characteristics of self-organizing teams are observed. It is considered that if the characteristics (which makes up the structure) of self-organizing teams fulfill the requirements of an agile workforce, this claim is then believed to be valid.
The results of such an examination shows that an agile workforce needs to be empowered, capable and competent, adaptive and flexible, team oriented, cooperative and collaborative and continuously given feedback and trained. Similarly, the observed characteristics of self-organizing teams describe them to be autonomous, communicative and collaborative, redundant and reconfigurable, cross-functional, team oriented and capable of learning.
Through an analysis of the findings, it is confirmed that self-organizing teams fulfill the basic requirements of an agile workforce. Therefore, self-organizing teams are considered to be agile. Finally, companies that seek agility are advised to adopt the structure of self-organizing teams.
With information on corporate ethical behavior now more accessible than ever, consumers have become increasingly socially and environmentally aware, which has translated into a growing demand for ethically made products. For ethically minded consumers, certification labels such as fair trade or organic are simple indicators of whether a product meets their ethical standards. For companies that wish to become certified, which is a lengthy and sometimes expensive process, there are several pertinent questions to consider, such as how much customers really value particular labels and whether multiple labels yield significant added competitive benefits. One should also consider how best to collect this information, because simply asking customers via surveys isn’t guaranteed to return results that actually reflect or predict real-life behavior (Carrington et al. 2010). For this paper, we collected information on consumers’ willingness to pay for products with the organic and fair trade labels (both individually and in combination) using two different methods: a traditional questionnaire and a reaction-time based electronic research method designed to reveal subconscious value perceptions. The factors involved were product type and number of labels. We found little evidence to suggest that additional ethical labels significantly increase willingness to pay.
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.
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 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.
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.
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.
The goal of this thesis is to give an overview of the carbon footprint of the commercial aviation industry and to introduce measures to mitigate emissions. This will be done by taking the German Lufthansa Group as an example.
In the first part, relevant theoretical background information will be given. It will be shown that the commercial aviation industry is subject to steady and relatively strong growth. Even though the global share of GHG emissions caused by air traffic is currently relatively low, it is projected to increase in accordance with overall industry growth.
In the second part, measures taken by the aviation industry to reduce its emissions are presented using the example of Lufthansa. The measures that are taken are various, reaching from fleet renewal over infrastructural improvements such as airspace management to alternative fuels. It is also shown that the efficiency of an airline depends on different things and hence leads to different performances in the industry.
Even though the reduction of emissions is typically related with a reduction of costs for the aviation industry, the progress in some areas is still relatively slow.