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Purpose
The purpose of this paper is to study and understand the theoretical model of New Product Design and Development Process and New Product Development Process followed by Automobile Manufacturing Companies in order to understand the similarities and differences between the theoretical model and practical process of New Product Development.
Key Concepts
The main concepts reviewed in the paper are theoretical “Stage – Gate model” of New Product Design and Development, New Product Development Process followed in automobile industry, role of various departments in the New Product Development Process.
Methodology
The methodology used to review the concepts exposed in this paper was theoretical research.
Conclusion
Generic product development process as described by Ulriche & Eppinger sets up overall framework of the product development process but it does not describe the micro-level activities of the new product development process. Whereas the practical process of new product development works out on very micro-level details of the task and activities in new product development process.
Generic product development process is a simple framework and hence it is common for any organisation, but actual process of new product design and development is worked out to the very detail level according to functions in an organisation and hence it changes from product to product and organisation to organisation.
Prostate segmentation is an essential part of brachytherapy treatment planning, in order to perform the procedure with required accuracy. Nowadays, segmentation of the prostate is still carried out manually during the planning steps, therefore it is a process that can be tedious, time-consuming and prone to inter-observer error. Much effort has been made in development of an computer-based algorithm that can perform prostate segmentation automatically, but only with appearance of deep learning methods, more promising algorithms emerged. So far, convolutional neural networks demonstrated excellent results in fully automatic prostate segmentation. Development of such an algorithm and training an efficient deep learning model is a challenging task, and requires a lot of optimizations. The objective of this study is development and evaluation of an algorithm for image processing based on deep learning methods that can perform fully automatic segmentation of the prostate gland in transrectal ultrasound images. Additionally, we made an overview of the development process, along with challenges and their solutions and demonstrated an algorithm implemented using Python and Tensorflow library, consisted of preprocessing, augmentation, training and validation, postprocessing and validation steps, which is able to successfully carry out fully automatic prostate segmentation with expert level of accuracy. Finally, we presented our implementation of fully convolutional neural network model and results that are encouraging to continue with model improvements and potential clinical application.
This research thesis examines affiliate review’s role in the relationship between direct-to-consumers (D2C) brands and consumers. Three D2C brands were selected as case companies for the multiple-case study. Seventy-five affiliate reviews were analysed, out of which fifteen were analysed in-depth. Additionally, a share of voice analysis was performed to establish the market share of each case company. The research has shown that affiliate reviews play a dual role as recommenders and sellers, which D2C brands use to achieve competitive advantage. However, the dual role is created at the expense of review quality, which is low.
The study explores the use of gamification approaches in complex diagnostic systems. Based on theories of gamification, a concept for the feedback function within the diagnostic software ESI[tronic] of the Robert Bosch GmbH is developed with user interviews and the analysis of feedback data. Through this, feedback loops should be generated to enable further development taking the user perspective into account. The results show that the target group of the diagnostic software can be intrinsically motivated and the aspect of mutual assistance as well as recognition and appreciation is particularly important. Therefore, the use of gamification concepts in complex diagnostic systems contributes to increasing user satisfaction and ultimately to influencing feedback behavior.
A contract as one of the essential means which regulates national and international commercial transactions, intended to determine the rights and responsibilities of the parties and protect their assets. Parties to international business transactions may freely choose the law governing their contract. As a result, parties are free to choose a contract law which best fits their needs, irrespective of its connection to the particular transaction. The market of contracts offers a choice among the laws of national jurisdictions and uniformed commercial contract law drawn up by intergovernmental organizations. Even application of a reputable national law or uniformed contract law does not guarantee eligible certainty. In particular, uncertainty is not admissible in transactions of industrial products and technologies, where protection of intellectual properties is one of the crucial aspects. In the aforementioned conditions, it might be a problem for businesses to make an appropriate choice of an applicable law of a contract, which is less complex, involves adequate efforts of contract enforcement and costs of dispute resolution. The task of this research is an analysis of different legal environment and making suggestions to a business in a subsequent strategy, depended on scopes of business transactions, national or international, and power levels of the involved parties. The research to be carried out in the following four parts, problem setting, theoretical study, empirical study and implementation. Solutions of the problems related to making and enforcement of a contract and dispute resolutions, basically may be divided into preventive and reactive actions. The preventive actions include choice of an applicable contract law, involving various mechanism to ensure that each party will stick to the contract terms, like self-enforcement, reputation, third party audits. As the reactive actions there may be considered, formal litigation through the judiciary system, which might be costly and slow, and alternative dispute resolution, such as an arbitration, mediation and conciliation hearings.
This thesis analyzes the effects that product label certification of Fairtrade products and the retail format where they are bought by consumers (Supermarkets vs. Discounters) have on the Willingness-to-Pay (WTP) of common grocery store goods. The thesis builds on data obtained from an online-conducted survey where participants had to respond if a determined price point was deemed as cheap or expensive to them and based on the average reaction times of their answers we determined the individual WTP. Two-way ANOVA analysis were performed with this data and some interesting findings were discovered: while a difference can be observed in consumers WTP for goods depending on the retail environment where they are acquired, there is no evidence of multiplicative effect of product labeling and retail format.
The platform business model replaces the traditional linear value chain model, demonstrating how value can be created differently. The emergence of new platforms in various industries during the last decade has made it difficult to imagine a business without naming at least a handful of active platforms. The platform business model has been proven to revolutionize industries, and this study investigates the possibility of launching a platform business model in unprecedented arenas which still use conventional pipeline business models.
The study explores the process of generating ideas for a new opportunity in the platform business model. After generating 11 ideas, screening and evaluating methods were studied.
Aim: The research aims at contributing to the growing number of studies on banking performance by investigating empirically the effect of changes in the macroeconomic conditions on bank profitability in Europe for the period 1980-2009. For this purpose, data for banking systems of eight European countries on an aggregate national level are included in the analysis: Germany, France, Austria, Norway, Netherland, United Kingdom (UK), Spain and Italy. In addition to this, two measures are used to represent the bank profitability: net interest income (NII) and return on assets (ROA).
Methods: Panel regression models at three levels are deployed in order to estimate empirically the effect of the macroeconomic indicators on bank performance in Europa: individual estimations on a country level, cross-country estimations on a group level for Northern and Southern Europe and finally overall cross-country estimation on a European level.
Results: The estimation results suggest that macroeconomic conditions are able to explain most of the variation of the banks’ net interest income in European countries, as well as part of the variation of banks’ ROA. Additionally, they clearly indicate that GDP growth rate is the most significant factor influencing bank performance in Europe on all three levels of the model. The effect of the inflation rate is also considered for strongly significant and positive while the effect of the other macroeconomic variables included in this research is different and cannot be generalized probably as a result of the heterogeneity among European countries. Surprisingly, the results did not indicate any significant difference between Norther and Southern Europe, regarding the effect of the macroeconomic conditions on bank performance.
This study aims to deliver a strategic and systematic analysis about the consumer loans banking business with the integration of industry 4.0. Industry 4.0 itself comprise of a lot of things in regards of advance technology being used in order to create more value to the company. The purpose of this study also determine which components of industry 4.0 are suitable and applicable in the consumer loans banking business. This thesis uses secondary data as a primary resource to provide research objective. The secondary data collected through the use of published journal literature as well as the academic literatures. The research starts by providing the general information and literature about the consumer loans banking business and the industry 4.0 as well. Following by the reason why the consumer loans banking business need the technological advancement of industry 4.0. Next, this thesis also gathers the quantitative data related to financial measurement to provide more understanding the consumer loans banking business. The analysis is carry out by using the three level of environmental analysist segmentation in which commonly use for the industry analysis. The first factor is the PEST analysis, it resembling the external factor of the industry, second is the Porter’s five forces to explaining the operating forces within the industry, the third is the value chain analysis. The findings of this thesis pose important implication for bank consumer loans business stakeholders with the purpose to integrate or related to industry 4.0 technological advancement, providing enough information about the keys factor and analysis behind the industry.
This research examines the impact of social media on consumer behavior, focusing on how consumer behavior and habits change after the use of social media by German and Chinese young consumers. A comparison of the differences between the two groups is also conducted. The study was conducted based on theoretical background and terminology, followed by six hypotheses. Then this research determined the scope, target population, and sample size before using focus groups and online questionnaires as survey methods. While analyzing the questionnaire data, the research tested the hypotheses and demonstrated the effects between the variables. The results indicated partial agreement with existing studies. Browsing time positively correlates with the purchase journey. The duration of online discounts negatively correlates with transaction speed. Young consumers' demand increases with the amount of time they spend browsing product advertisements. However, some findings ran counter to previous investigations. The impact of SMM on young consumers has no adverse effect on the time spent browsing products. Moreover, only in some cases, young consumers' purchase intentions are positively correlated with demand.
Keywords: Young consumers, Social media marketing, Consumer behavior, Purchase journey, Purchase intention, Online time-limited discounts, Demand