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Industrial Internet of Things (IIoT) systems are enhancing the delivery of services and boosting productivity in a wide array of industries, from manufacturing to healthcare. However, IIoT devices are susceptible to cyber-threats such as the leaking of important information, products becoming compromised, and damage to industrial controls. Recently, blockchain technology has been used to increase the trust between stakeholders collaborating in the supply chain in order to preserve privacy, ensure the provenance of material, provide machine-led maintenance, etc. In all cases, such industrial blockchains establish a novel foundation of trust for business transactions which could potentially streamline and expedite economic processes to a significant extent. This paper presents an examination of “Schloss”, an industrial blockchain system architecture designed for multi-factory environments. It proposes an innovative solution to increase trust in industrial networks by incorporating a fairness concept as a subsystem of an industrial blockchain. The proposed mechanism leverages the concept of taxes imposed on blockchain nodes to enforce ethical conduct and discipline among participants. In this paper, we propose a game theory-based mechanism to address security and trust difficulties in industrial networks. The mechanism, inspired by the ultimatum game, progressively punishes malicious actors to increase the cost of fraud, improve the compensation system, and utilise the reward reporting capabilities of blockchain technology to further discourage fraudulent activities. Furthermore, the blockchain’s incentive structure is utilised to reduce collusion and speed up the process of reaching equilibrium, thereby promoting a secure and trustworthy environment for industrial collaboration. The objective of this paper is to address lack of trust among industrial partners and introduce a solution that brings security and trust to the forefront of industrial blockchain applications.
This thesis is assigned by Carestream Dental in order to implement a launch plan of the Showpad (A Sales Enablement Platform) application in the EMEA region for the sales and marketing teams. To ensure successful implementation, a thorough analysis was conducted in order to review and established the necessity of the Showpad application. It was imperative to build an implementation plan before the launch. The application was structured and tested among the sales and marketing team to examine the benefits of the application before making any decisions about the Launch. The purpose of this thesis was:
To understand the full capabilities of the platform for sales and marketing.
To define and build a structure that fits the EMEA sales needs.
To this effect, build an implementation plan for a successful launch of the platform. Studying whether the application would add value to the sales and marketing team processes. This thesis was executed as quantitative research collecting data through primary research. A survey was conducted to find out whether the marketing and sales team found the platform useful for them and how they experienced the built-in structure and layout. The purpose of Showpad was to enable our sales and marketing work more efficiently when it comes to having materials for their working needs and the platform was intended to replace previous system, the decision to launch was based on their opinions and experiences. A workshop was organized with the sales and marketing representative as part of implementation plan to discuss internal and external processes of usage. The first step was to roll-out for internal marketing and sales and the second step to launch for external dealers. The overall look and feel of the platform was created in alignment with the Carestream Dental branding guidelines. The structure of the platform was built based on the sales needs and information collected during the workshop. The structure was clear, and content found easy to access in comparison to the platform already in place like Sharepoint. The platform improved the alignment and communication between the marketing and sales team to a good extent.
Introduction
(2015)
Der Investitionsprozess stellt einen wesentlichen operativen Bestandteil zur Zielerreichung der Unternehmensstrategie dar. Durch das Tätigen von Investitionen kann eine nachhaltige Wertsteigerung, ein langfristiges Wachstum oder die Sicherung des Unternehmens in Bezug auf den Wettbewerb gewährleistet werden. Das zentrale Problem besteht jedoch darin, die richtige Wahl der Investition zu treffen und vor allem unter Berücksichtigung eines begrenzt zur Verfügung stehenden Budgets einen effizienten Einsatz der finanziellen Mittel sicherzustellen. Anhand theoretischer Grundlagen der Investitionsrechnung wurde in Bezug auf den Bauchemie-Konzern Sto SE & Co. KGaA ein Investitionsprozess erarbeitet, welchem es ermöglicht, Investitionen zunächst zu kategorisieren und diese anschließend anhand ihrer quantitativen sowie qualitativen Nutzen zu bewerten, um letzten Endes eine objektive Grundlage für die Realisationsentscheidung zu schaffen. Die Bewertung umfasst dabei modifizierte Formen der klassischen Investitionsrechnungen, die Nutzwertanalyse hinsichtlich der qualitativen Eigenschaften sowie die Einführung eines Risiko-Managements. Mittels Outranking-Verfahrens werden die Investitionen einer Kategorie in Bezug auf die ermittelten Kennzahlen miteinander verglichen und unter der Berücksichtigung der Unternehmensstrategie der Sto SE & Co. KGaA selektiert. Die Selektion des Outranking-Verfahrens erfolgt in Form einer Rangfolge, welche die Investitionen in Bezug auf ihre Vorteilhaftigkeit filtert. Das Unternehmen erhält dadurch eine sachliche Darstellung der sinnvollsten Investitionen, wodurch der Entscheidungsprozess, auch im Falle eines begrenzten Budgets, aktiv unterstützt wird.
Collecting real-world data for the training of neural networks is enormously time-consuming and expensive. As such, the concept of virtualizing the domain and creating synthetic data has been analyzed in many instances. This virtualization offers many possibilities of changing the domain, and with that, enabling the relatively fast creation of data. It also offers the chance to enhance necessary augmentations with additional semantic information when compared with conventional augmentation methods. This raises the question of whether such semantic changes, which can be seen as augmentations of the virtual domain, contribute to better results for neural networks, when trained with data augmented this way. In this paper, a virtual dataset is presented, including semantic augmentations and automatically generated annotations, as well as a comparison between semantic and conventional augmentation for image data. It is determined that the results differ only marginally for neural network models trained with the two augmentation approaches.
This thesis investigates the persuasiveness of triathlon celebrities on consumer purchase intention, employing a quantitative research methodology grounded in the Source Credibility Model and the Match-up hypothesis. Through a survey-based approach, data was collected to analyse how consumers perceive characteristics of triathlon sports celebrities and how the match-up between triathlon celebrities and product types as well as the perceived characteristics affect consumer purchase intention. Running shoes and winter boots were selected as the two product types.
The study population consisted of a total sample size of 204 respondents. Descriptive statistics and multiple linear regression analyses were conducted to explore the relationships between triathlon sports celebrities' attributes, product-endorser matchup, and consumer purchase intention. Findings revealed significant positive relationships between perceived expertise and purchase intention for both running shoes and winter boots. Moreover, a positive relationship was observed between perceived physical attractiveness of triathlon celebrities and purchase intention for both products. While perceived trustworthiness did not significantly impact purchase intention, the study demonstrated a positive relationship between perceived product-endorser match-up and purchase intention for both products. Practical implications stemming from these findings emphasize the importance of strategic sport celebrity selection and product-endorser fit in endorsement campaigns. This research contributes to the academic field by focusing specifically on triathlon celebrities’ and their persuasive impact towards consumers.