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Innovative and successful food waste management solutions often happened to have either an economic, ecological, or social positive impact. There are different types of food waste that are wasted at different stages of the supply chain and sustainable management treat this issue in its entirety.
A resource-efficiency handling of food creates and saves value in the food industry, helps reduce climate change and brings food security. Quantitative evidence from financial and nonfinancial benefits from business cases of countries such as the United Kingdom, proved that avoiding food wasting build a win-win situation for companies and consumers. Processes will be exposed to accelerate the implementation of food waste reduction policies at every stage of the supply chain and at every organization level.
This paper is aimed to measure the global degree of food waste and loss with trustworthy instruments and to provide a range of the most efficient and adapted ways to prevent it.
Some focus will be made in certain parts of the world because of the data’s availability and reliability. It also interests us to know what percentage of waste occurs, at which stage of the supply chain, what are the current existing solutions to avoid food waste and
loss and how is sustainable management playing the most efficient role.
Food wasting will be distinguished into two categories: organizations of entities (as countries, governments, cities, and companies) and individuals. Providing guidelines to be able to manage a sustainable production up till consumption will be the core concern of this paper.
Successful employee retention remains one of the most critical issues in human resource management. Various retention strategies have been proposed, examined, and empirically tested for centuries to retain valued employees. This research proposes a psychological explanation on the effectiveness of so-called pay-to-quit incentives and hypothesizes that such anti-incentives might be more beneficial than traditional incentives with regards to employee retention. Cognitive Dissonance Theory, Prospect Theory, and Social Identity Theory help to illustrate the underlying psychological mechanisms of pay-to-quit incentives and their impact on choice, attitudes, cognitions, and behavior.
Optimization of Microfabricated 2D Planar Spiral Microcoils for the Micro NDT of Grinding Burn
(2020)
Die vorliegende Bachelorarbeit befasst sich mit der Evaluierung der Unternehmensflexibilität bei Entsendungsleistungen. Dynamische Unternehmensumwelten fordern Organisationen im Wettbewerb sowie bei der Personal- und Talentgewinnung heraus und wirken auf eine strategische Ausrichtung im Bereich der Mitarbeiterentsendung. Unter Berücksichtigung von kulturellen Komponenten gilt es für Unternehmen, flexible Entsendungsmodule zu gestalten. Eine Literaturanalyse sowie die Abgrenzung zentraler Begrifflichkeiten bilden die Basis für die empirische Forschung. Mithilfe von qualitativen leitfadengestützten Experteninterviews mit Expatriates und Führungskräften werden Tendenzaussagen getroffen, inwieweit Unternehmen bereits eine Flexibilität bei Entsendungsleistungen nutzen und welche Handlungsanforderungen gegenüber flexibilisierten Entsendungsleistungen vorherrschen. Es wird analysiert, in welchem Ausmaß flexibilisierte Entsendungsleistungen zu einer Bedürfniserfüllung von Expatriates beitragen und ob sich eine Annahmeveränderung gegenüber standardisierten Entsendungskomponenten ableiten lässt. Das Resultat der Ergebnisdiskussion ist eine Handlungsempfehlung, welche die Erfüllung der individuellen Bedürfnisse des Expats im Einklang mit der vorherrschenden Unternehmenskultur berücksichtigt. Im Rahmen eines flexibilisierten Standardprozesses ist ein modularer Aufbau der Entsendungsleistungen mit vordefiniertem Kostenrahmen abbildbar.
Industry 4.0, a term coined at Hannover Messe in Germany in 2011, is believed to be the next disruptive force, driving human progress and innovation. The advent of technologies, such as the Internet of Things, Cloud Computing, Big Data, and new Mobile Technologies, fuel this disruption. To enable Industry 4.0, mankind is dependent on technological infrastructure, provided by companies, operating in the semiconductor industry. Over the last years, these companies have increased their profits and their stocks are currently trading near all-time highs. Yet, uncertainty created by the disruption of Industry 4.0, the growing influence of China on the semiconductor market, economic insecurities created by political uncertainties, like the 2020 US Presidential election, and the risk and implications of a second global wave of the COVID-19 pandemic, make the equity valuation of leading and established companies in the semiconductor industry exceptionally challenging. This paper examines, how different equity valuation methods compare under said circumstances and shows sophisticated valuation methods must be used to limit valuation error. Further, this paper gives an estimation of the possible ranges of value and suggests the industry may currently be overvalued.
The topic of this bachelor’s thesis is the connection between culture and social media marketing for environmental nonprofit organizations. It focuses on the question whether culture does have an impact on the performance of social media marketing for environmental nonprofit organizations. Based on this, the hypothesis is made that culture does have an influence on the intercultural performance of an environmental nonprofit organizations’ social media marketing. To provide an answer, the characteristics of environmental nonprofit organizations and social media marketing are analyzed by the use of cultural frameworks. Furthermore, a closer look towards the connection between culture and social media marketing for environmental nonprofit organizations is provided. As a result, this paper supports the hypothesis that culture does have an impact on the performance of social media marketing for environmental nonprofit organizations. The analysis shows that social media marketing and environmental nonprofit organizations both have characteristics that can be impacted by culture. This can lead to an effect on the performance of the environmental nonprofit organizations’ social media marketing caused by different cultural perceptions and aspects.
This thesis tries to answer questions with respect to a future cultured meat industry, that is what influences consumer behavior and which consumers will be likely to buy cultured meat products. In addition I am trying to answer the question if there even will be a cultured meat industry in the future or whether the current developments can be seen more like a bubble that will disappear once enough money is burned with no profits made. Answering these research questions was quite a challenge, even though I did an extensive amount of research the lack of available data was not ideal. Therefore, I need to acknowledge that with more available data more precise conclusions could have been drawn. Nevertheless, through my research I could conclude that the cultured meat industry, which is shortly before bringing the first products to market is unlikely to disappear. The technology seems sound and the concept behind it seems to make sense. Regarding potential consumers I concluded that marketers should try to identify consumers who go through extensive problem solving when making food or rather lifestyle choices. These consumers might be best to approach when launching the first marketing campaigns for a cultured meat product.
Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology
(2019)
Swimming in Plastic, A Story
(2020)
Over the past few decades, global economic circumstances lead to difficulties when attracting, retaining, and motivating staff. In these dynamic markets, HR departments are struggling with how to navigate among new techniques and generations. However, in recent years neuromarketing has gained popularity among managers due to resourceful insights applicable to various business areas. Drawing on an investigation, this study examines how the implications gained from neuromarketing can be used to conduct an employer branding strategy and if neuromarketing methods can be a useful tool for the HR department. Analyzing distinct advantages of neuroscience by applying techniques that allow examining essential elements of the employer branding, leads to the detection of challenges and limits within the employer branding management and suggest a new perspective. Considering the literature gap, the methodology to assess whether there are implications of neuromarketing on employer branding will be derived from product branding. This study will first investigate the comparability of product and employer branding and then examine the extent to which neuromarketing methods can complement supplant the employer branding strategies. Finally, the results show the moderate relevance of neuromarketing on employer branding.
While corporate valuation is among the most applied tools in today's corporate finance, there are several approaches and methods to valuation, which differ regarding structure, value drivers and their need for supplementing data. In this paper, four valuation methods for public-traded companies are examined. The aim is to determine, if it is possible to achieve superior valuation results when the choice of the valuation method is based on recommendations made in literature and the analysis of the target companies characteristics, profile and fundamentals. For a selected set of six public-traded German software companies the four valuation methods are applied in order to test the assumptions. Based on the analysis, the results suggest that superior valuation outcomes can be obtained by choosing the valuation method in accordance with the recommendations made in literature and the target company's profile and financials. Furthermore, implied multiples and DCF stand out as valuation methods that worked best for the majority of the six German software companies.
In situ Qualitätsbeurteilung von Schleifprozessen mittels Mikrosystemtechnik basierter Sensorfusion
(2020)
For thousands of years cash has been the only common payment method worldwide. From the markets of Ancient Rome to the itinerant tradesman of the Middle ages cash was indispensable. It was safe, easily transportable, and durable. Today, cash is considered a phase-out model. Newer, faster, more practical and, above all, more secure payment methods have long been available. Banks and governments in particular would like to abandon cash, as it is much easier to monitor electronic payment transactions than cash transactions. This results in concerns for many citizens, as they, especially the older generation, are still very attached to cash and still have difficulty using alternative payment methods.
However, the rise of electronic payment methods is unstoppable, all experts agree. This matter of fact and its input is an interesting and relevant topic for consumer research. This thesis examines the purchasing behavior of consumers using electronic payment cards. The cards do not differ in their external appearance, the difference lies in the components of the card and ensures that there are two types of cards of different weight. Cards which have the normal weight of this type of card and cards which are slightly heavier than the normal (standard) cards. The reason for the different weight of the cards is that objects of different weights are perceived differently by people. It is generally believed that heavier items are more valuable than light ones, probably due to the heaviness of metals such as gold and silver, which we humans generally consider as very valuable. The aim of this work is to find out if the weight of the cards which are intended for everyday use has an impact on the buying behavior of the consumers. This will be investigated scientifically with an empirical data analysis.
Collaboration applications for mixed homecare — A systematic review of evaluations and outcomes
(2020)
Ziel dieser Arbeit ist es, Lösungsansätze für eine kurz- und langfristige Implementierung einer Nachkalkulation herauszuarbeiten, um eine Kontrollfunktion der vorangegangenen Plankalkulation einzurichten. Diese Kontrollfunktion ist von großer Bedeutung, da sie Gewissheit über die Profitabilität einzelner Projekte und im weiteren Sinne der gesamten Unternehmung schaffen soll. Das Fehlen dieser Gewissheit lässt folglich nur eine Schätzung der Profitabilität zu.
Geeignete Lösungsansätze werden im Verlauf dieser Arbeit auf Basis des Abgleichs der Ist- Ausgangslage in den Werken St. Egidien, Sachsen und Kecskemét, Ungarn der ACPS Automotive GmbH mit den theoretischen Grundlagen der Literatur unter Berücksichtigung der verfügbaren Ressourcen erarbeitet. Eine sogenannte Soll-Ist-Analyse soll demnach Klarheit über die Abweichungen zwischen Plankosten und den tatsächlich angefallenen Ist-Kosten geben um korrektive Maßnahmen zu ergreifen.
We introduce an algorithm that performs road background segmentation on video material from pedestrian perspective using machine learning methods. As there are no annotated data sets providing training data for machine learning, we develop a method that automatically extracts road respectively background blocks from the first frames of a sequence by analyzing weights based on mean gray value, mean saturation, and y coordinate of the block’s middle pixel. For each block labeled either road or background, several feature vectors are computed by considering smaller overlapping blocks within each block. Together with the x coordinate of a block’s middle pixel, mean gray value, mean saturation, and y coordinate form a block’s feature vector. All feature vectors and their labels are passed to a machine learning method. The resulting model is then applied to the remaining frames of the video sequence in order to separate road and background. In tests, the accuracy of the training data passed to the machine learning methods was 99.84 %. For the complete algorithm, we reached hit rates of 99.41 % when using a support vector machine and 99.87 % when using a neural network.
In dieser Arbeit geht es um das Thema „Bewertung und Entwicklung der Immobilienpreise in Europa von 1999 bis 2019“. Die Zunahme der Immobilienpreise hat große Auswirkungen auf alle Bevölkerungsschichten und Ihrer Kaufkraft. Immobilien sind durch ihre Eigenschaft an den Standort gebunden, dies macht einen Vergleich mit normalen Gütern schwerer. Das Ziel dieser Arbeit besteht darin, die Entwicklung von Deutschland und innerhalb der Europäischen Union zu untersuchen und Faktoren zu untersuchen, die für Veränderungen der Immobilienpreise verantwortlich sind. Zudemsoll durch die Anwendung nominierter Bewertungsmethoden, die Bewertung von Immobilien nachvollziehbar sein. Mit der Methode “Literaturrecherche” wird die Entwicklung der Immobilienpreise für Deutschland von 1999 bis 2019 untersucht. Im Theorieteil werden die nominierten Bewertungsmethoden für Deutschland dargestellt und im praktischen Teil angewendet. Es wird festgestellt, dass sich die Immobilienpreise in unterschiedlichen Regionen in Abhängigkeit ihrer Zu-bzw. Abwanderung stark veränderten. Großstädte mit einer starken Zuwanderung wachsen schneller als die Bautätigkeit neue Wohneinheiten erstellt. Dies führt zu einem Nachfrageüberschuss und zu stärker wachsenden Immobilienpreisen als in Städten mit geringerem Zuwachs. Das Land Deutschland wird daher in aktive und passive Räume unterteilt. Die Steigerung der Immobilienpreise in Deutschland ist im Verlauf der Jahre 1999 bis 2019 auf strengere Normen und Vorschriften für die Bautätigkeit, steigende Baukosten und strengere Energievorschriften zurückzuführen. Die Entwicklung innerhalb Europas von 1999 bis 2019 wird mit Deutschland verglichen. In Deutschland hat sich der Hauspreis innerhalb der letzten fünfzig Jahre kaum verändert, dies lässt sich auf die Vergabe von festen Zinsen für Kredite zurückführen. Es wurde bei der Analyse im europäischen Vergleich festgestellt, dass die Immobilienpreise stärker gestiegen sind als die Einkommen. Die Auswirkung ist eine Verschlechterung der Leistbarkeit und Erhöhung der Haushaltsverschuldung. Die Höhe des Bruttoinlandsprodukts, wird beeinflusst durch eine stark wachsende Wirtschaftund hat somit auch Einfluss auf die Arbeitslosenquote, welche sich in der Entwicklung der Immobilienpreise widerspiegelt. Die Krisen haben verschiedene Einflüsse auf den internationalen Immobilienmarkt. Hier ist die Höhe der Inflation ein Treiber für den Anstieg von Immobilienpreisen
This thesis examines the added value of modern approaches of balance sheet analysis for the external analyst. When talking about modern approaches of balance sheet analysis, scoring models, qualitative analysis, discriminant analysis and artificial neural networks are meant. On the basis of an extensive literature research, it is examined to what extent these approaches can overcome the weaknesses of the traditional balance sheet analysis.
Global agierende Unternehmen entsenden ihre Arbeitnehmer zur Weiterqualifizierung und Ausübung ihrer Tätigkeiten ins Ausland. Um die Arbeitnehmer zu schützen sowie die Dienstleistungsfreiheit weiter zu fördern wurde 2018 die Richtlinie 96/71/EG über die Entsendung von Arbeitnehmern im Rahmen der Erbringung von Dienstleistungen reformiert. In Deutschland wurde sie 2020 in das Arbeitnehmerentsendegesetz über-führt. Das Ziel dieser Arbeit ist es, die allgemeinen Auswirkungen der Reform zu analy-sieren und Umsetzungsmöglichkeiten für die AUDI AG zu erarbeiten. Dazu werden fundierte Kenntnisse über die Richtlinien bezüglich Entsendungen in der Europäischen Union, insbesondere in Deutschland aufgebaut. Die Ergebnisse deuten darauf hin, dass die Entsendungen innerhalb des europäischen Wirtschaftsraumes aufgrund strengerer Regelungen und der Komplexität der Umsetzungsmaßnahmen abnehmen könnten.
This thesis talks about the relation between investor sentiment, stock return and trading volume in the German stock market. Six Granger causality tests were performed in order to determine, whether one of the above mentioned factors is indicative of the others. The results imply that investor sentiment is indicative of both, stock return and trading volume in the specified time period. However, there is no further significant evidence for other relations among the variables. The results are mostly in line with the literature available on this topic and back up the importance of the concept of investor sentiment as investor sentiment delivers an attempt to explain why investors behave irrationally on the stock market. Hence, the factors influencing investor sentiment should be subject to further research in order to gain a broader understanding of the topic.
The German banking landscape is currently undergoing a paradigm shift of an unprecedented magnitude. As the financial world is changing, the future of German banks is highly uncertain. A multitude of present-day driving factors will shape the banking world of tomorrow. Therefore, this thesis aims to investigate and analyze the future of the German banking sector until 2030. The concept of scenario planning serves as underlying method for this research. Based on current factors influencing the German banking sector, the present thesis systematically develops coherent future scenarios. The generation of these scenarios is performed with the help of the scenario software INKA 4. This enables to assess a comprehensive picture of the future environment and the interactions between external influencing factors. Based on the most consistent future scenario, implications for the strategies of German banks are derived. As a result, German incumbents can question their strategic orientation and position themselves optimally for the future.
Entrepreneurship research faces a crossroads and a new approach is needed to better understand entrepreneurial behavior. Incorporating neuroscience to comprehend the entrepreneurial mindset seems promising. Nevertheless, the potential of neuroscience for entrepreneurship research is only slowly being realized. Based on an extensive literature review, this thesis examines the emerging role of neuroscience with respect to entrepreneurship. Referring to the model of the entrepreneurial process, this thesis investigates how entrepreneurs discover, exploit, and finally capture opportunities. In this context, explanations regarding trait, expertise, adaptation, and mindset of the entrepreneur are relevant for further examination. Moreover, decision-making in uncertain situations is analyzed. In this context, the dynamic interplay between the reflective and reflexive system is considered. Ultimately, this thesis provides recommendations for organizational innovation to enhance entrepreneurial
activity.