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The following paper is dealing with the issue on which actual consumer lifestyle segmentation methods there are for particular European countries and accordingly for Europe as a whole. This is important for corporations to be able to place their products accurately by a consumer orientated marketing concerning the constant change of values and minds. Researching current literature, internet sources and documents, the state of the science is presented by a detailed description of the most popular lifestyle segmentation methods used in European countries. In addition to that, these instruments are discussed individually and then compared to each other. All instruments, the Sinus-Milieus, Euro-Socio-Styles, Roper-Consumer-Styles, RISC and Mosaic, are serving the same purpose even so they differ pretty much from each other. Each market research company has its own method to generate their model just as different segments and definitions for them. Furthermore every segmentation method is illustrated in a different way. This paper demonstrates all these instruments in detail and shows its advantages and disadvantages. Summing up literature research concerning the main research question, there are several models segmenting consumers in different lifestyle groups for e.g. in Germany, France or Great Britain, but still less models referring to the entire European market.
In dieser Ausarbeitung geht es um den aktuellen Stand der Digitalisierung der Textilindustrie. Sie dient als Grundlage zur Master-Thesis und soll die Frage beantworten, ob ein Informations-System, das die Textilprozesskette begleitet, benötigt wird. Dazu werden die einzelnen Prozessschritte kurz erläutert. In der Ausarbeitung wird auch die Verbindung zwischen der Textilindustrie und den neuen Möglichkeiten mit dem Internet der Dinge beleuchtet.
Angesichts großer globaler Herausforderungen wie z.B. dem Klimawandel befindet sich die Entwicklungszusammenarbeit im Wandel und sieht sich zunehmend der Frage ihrer Wirksamkeit gegenübergestellt. Dieser Beitrag diskutiert, welchen Beitrag Sustainable Entrepreneurship zu einer Verbesserung ihrer Wirksamkeit leisten kann. Im Rahmen dessen wird zunächst die Ethik Albert Schweitzers und ihre Bezüge zu Konzepten der Nachhaltigen Entwicklung beleuchtet und im nächsten Schritt kriteriengeleitet diskutiert, inwieweit Albert Schweitzer als Prototyp eines Sustainable Entrepreneurs bezeichnet werden kann und was dies für die Konzeption und Ausrichtung der Entwicklungszusammenarbeit bedeuten könnte. Ebenso wird diskutiert, inwieweit Nachhaltige Entwicklung, insb. die Nachhaltigkeitsziele der Vereinten Nationen (SDG) als Orientierungsrahmen für die Entwicklungszusammenarbeit dienen kann. Ausgehend von dem Befund, dass für Sustainable Entrepreneurs die Finanzierung ihrer Aktivitäten ein erheblicher Engpassfaktor darstellt, wird diskutiert, inwiefern Sustainable Finance-Instrumente dazu beitragen können, die Finanzierungsbedingungen für Sustainable Entrepreneurs und damit den Impact ihrer Aktivitäten zu verbessern. Abschließend wird anhand eines aktuellen Fallbeispiels der Impact aufgezeigt, den Sustainable Entrepreneurs, die nach dem Vorbild Albert Schweitzers agieren, erzielen können.
Requirements Engineering (RE) umfasst sämtliche systematische Schritte zur Entwicklung eines Systems, um die Bedürfnisse der Nutzer und Vorgaben, die an dieses gestellt werden, zu erfüllen. Das RE eines ausgewählten Herstellers für klinische Informationssysteme (KIS) wurde untersucht und es stellt sich als intransparent als auch teilweise unzureichend dar. Das Ausmaß des Einsatzes von systematischen Vorgehensweisen und Methoden zum RE wurden beim ausgewählten KIS-Hersteller analysiert. Die Analyse zeigt, dass RE weit verbreitet ist, aber differenziert betrieben wird.
Das Ziel dieser Arbeit ist es, den Stand der Technik des RE für die KIS Entwicklung zu ermitteln. Es werden wichtige Faktoren des RE für die Entwicklung von KIS beschrieben. Die Ergebnisse dieser Arbeit werden als erster Schritt für die Optimierung des RE des ausgewählten KIS-Herstellers dienen.
Like many others, fashion companies have to deal with a global and very competitive environment. Thus companies rely on accurate sales forecasts - as key success factor of an efficient supply chain management. However, forecasters have to take into account some specificities of the fashion industry. To respond to these constraints, a variety of different forecasting methods exists, including new, computer-based predictive analytics. After the evaluation of different methods, their application to the fashion industry is investigated through semi structured expert interviews. Despite several benefits predictive analytics is not yet frequently used in practice. This research does not only reflect an industry profile, but also gives important insights about the future potential and obstacles of predictive analytics.
Today many vertical retailers are operating different sales channels at the same time and are respon-sible for the range of products in all sales channels. The purpose of this paper is to examine whether for vertical fashion retailers a format-specific assortment policy can be observed on the German mar-ket. To investigate this topic in addition to secondary data of a literature research, quantitative prima-ry data was collected through a structured observation by conducting store checks. The combination provides insights into the research topic, allows to build hypotheses and to get a current and specific answer on the research topic. The study revealed all vertical retailers exploit the advantage of unlim-ited capacity of the online shop by offering in this channel mainly the broadest and deepest assort-ment. Within the retail store the vertical retailers focus on offering full-price goods for the current season in full size sets. Compared to the online shop here are less styles sophisticated presented and adjusted on the sales floor. For the outlet channel all brands showed a higher density of products and at least a price reduction of 30 per cent. The present paper is limited by time, depth and language of secondary data collection. As the study only conducted quantitative data within limited observations additional visual data over a longer period is necessary.
Purpose of the research paper is to illuminate the subject of assortment policy in the German fashion e‐commerce market. A short literature review is conducted in order to set up a system of characteristics to contemplate assortments on a strategic level. In a second step, structured observations are conducted to quantitatively analyze and compare the assortments of the leading online fashion retailers within Germany. Based on literature, the following characteristics for a classification of assortments can be identified: assortment structure, assortment size, assortment width, assortment depth, assortment consistency and rotation, price level, quality mix, fashion degree as well as the mix of private labels and manufacturer brands. Furthermore, the results of the empirical analysis show that there are currently five leaders within the nalyzed market: Amazon, Otto, Zalando, Baur and About You. Among these five market leaders, Amazon positions itself as a retailer that not only offers an enormous assortment size, but also the lowest entry prices as well as the broadest price dispersion. Through the development of the system of characteristics for assortment analysis and the examination of the current market environment, the findings of this paper contribute to the current state of the art in both theoretical and practical aspects.
This case study of Breuninger aims to analyze how Breuninger adapts to the emerging omnichannel environment in fashion business. From a consumer’s perspective Breuninger and the general omnichannel strategy of Breuninger is explained, before the loyalty program of Breuninger is analyzed in detail. Key factors as the mobile app and the mobile Breuninger card, social media, direct mail and in-store capabilities are described. A discussion chapter finalizes the case.
In a globalized world the importance of a proper segmentation method for identifying target consumers has been increasing. Vast majority of the research in this area focuses on the usage or development of different techniques. Lifestyle is a good criterion for dividing people into groups which then can be better targeted. This article addresses the research question, which classical methods exist to segment markets with the aid of lifestyle. The purpose of this paper is to illustrate several instruments, such as A.I.O., Roper Consumer Styles, VALS-Method, the Sinus-Milieus, Sigma-Milieus, RISC-Method and Semiometrie but also Discriminant and Conjoint Analysis which proved of value in the past. Furthermore it deals with the benefits of this methods but weaknesses are also considered. Therefore several existing literature is examined, and information is collected by institutes providing the typologies. Obvious is, that new methods e.g. predictive analytics already play a major role in marketing, because it can be found much literature about it. In the literature research also appear research implications, because besides the provided information from institutes and journals, there is hardly no data to find if and how companies use the instruments. Furthermore, some important databases cannot be scanned because they are not accessible without paying.