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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.
Knowing your customer, i.e. your target market, is critical for the success of a company and its’ products. The current socio-demographic changes in the United States issue new challenges to marketers and practitioners. Actual fashion consumer seg-mentation approaches within the United States have received little attention in media and scholarly literature. Therefore, the aim of this paper is to present the existing academic literature addressing fashion consumer style preferences, particularly highlighting the most promising consumer groups within the United States: Hispanics and African-Americans. For this, a literature review was chosen with a subsequent critical discussion and comparison of both segments including findings of academic researches as well as market research agencies and actual lifestyle clustering approaches regarding these consumer groups. The findings show, whilst the published literature on consumer segmentation in the apparel industry provides only a surficial understanding of the fashion buying behaviors of Hispanics and Black Americans, it could be found that both ethnic groups are highly interested in fashion, price sensitive, and they are over indexed in apparel spending habits. Especially within the Hispanic population factors such as age and level of acculturation play a vital role in the purchasing choice of apparel, footwear and accessories and require further research.
This research is about Omnichannel Retailing and addresses the question how the omnichanneling of retailers in the fashion market can be measured. Our sources will include books, interviews, newspapers and scientific databases.
Omnichanneling is a current topic in the fashion market, retailers all over the world face the question on how to adapt to the challenges Omnichannel Retailing sets. We are going to define what Omnichanneling is by explaining the differences between Multiple-, Multi-, Cross- and Omnichannel Retailing. After we defined omnichanneling itself, we took a set of 26 retailers to evaluate regarding their Omnichannel capabilities. Then we create an index with criteria that can measure the Omnichannel capability of each retailer.
The Omnichannel Score is based on 31 criteria, which analyze the retailers in offline, online, mobile and social aspects enables to see differences between retailers. Our findings were that retailers in the US fashion market are more advanced in Omnichannel Retailing than retailers in the German fashion market. Our top three Omnichannel retailers were Sears with an Omnichannel Score of 91, followed by KOHL’S and Marks&Spencer, both with a Omnichannel Score of 88. The best Omnichannel Retailer from Germany was Adidas with the fourth place and an Omnichannel Score of 81.
Purpose of this research paper is to assess the state of the art concerning the relevance of consumer segmentation models in the fashion industry with regards to current changes in technology, market structure and consumer behavior.
The paper is composed of a qualitative literature review and an empirical study in form of a survey. They are contrasted in order to identify both similarities and differences.
Findings reveal that consumer segmentation is still relevant. Notwithstanding, an adaptation of classification models is necessary according to occurring changes. External models, segmenting consumers by means of lifestyle or fashion typologies, are used. However, it is striking that most companies of the empirical study already apply internal segmentation models with tendency to rise. Moreover, research has shown that consumer classification models in the USA make use of different criteria than in Europe.
Language barriers within the literature review and a low sample size in the empirical study give research limitations. Future management implications can be directed to the identification of procedures for the efficient application of internal segmentation models.
The purpose of this paper is to determine the relevance of social media for luxury brand management. It employs both a multi-methodological approach: After analyzing the online performance of the three luxury brands Burberry, Louis Vuitton and Gucci, the empirical research includes a survey as well as an eye tracking test executed with Tobii Studio. The findings reveal that online and social media have given luxury fashion businesses the opportunity to establish a sustainable interaction with their customers and distinguish themselves from the competition. Still, the online business holds many challenges for luxury companies to overcome. This paper gives instructions as to how social media can be effectively incorporated into a luxury company.
In times of e-commerce and digitalization, new markets are opening, young companies have the possibility to grow and new perspectives arise in terms of customer relationship. Customers require more possibilities of personalization. In the same time, companies have access to new and especially more information about the customer. Seems like it was a correlation that could evolve greatly if there weren't privacy issues. Vast amount of data about consumers are collected in Big Data warehouses. These shall be analyzed via predictive analytics and customers shall be classified by algorithms like clustering models, propensity models or collaborative filtering. All these subjects are growing in importance, as they are shaping the global marketing landscape. Marketers develop together with IT scientists new ways of analyzing customer databases and benefit from more accurate segmentation methods as that have been used until now. The following paper shall provide a literature review on new methods of consumer segmentation regarding the high inflow of new information via e-commerce. It will introduce readers in the subject of predictive analytics and will discuss several predictive models. The writing of the paper is not based on own empirical researches, but shall serve as a reference text for further researches. A conclusion will complete the paper.
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.
Nenne sie niemals Senioren!
(2017)
The paper focuses on a recently introduced paradigm for the logistic process of picking, with respect to the man-to-goods and goods-to-man concept: the robot to-goods. First the task and system architecture of the fast deployable autonomous commissioning system are described, then the economic efficiency of the system is analysed in a real business case scenario using a simplified method, which is explained and discussed. The clearly positive net present value of the investment and the short payback period obtained in the business case prove how the robot-to-goods paradigm for the commissioning process, implemented through the automation of the forklift platform, is economically attractive for small and medium size enterprises.
Das Buch analysiert die Herausforderungen der Distribution in Afrika am konkreten Beispiel der Distributionslogistik in Westafrika und bietet konkrete Lösungsansätze für Unternehmen. Afrika rückt seit einigen Jahren zunehmend als Absatzmarkt für westliche Unternehmen in den Fokus. So nimmt auch die Frage nach dem passenden Distributionsansatz eine zentrale Rolle bei Markteintritt und -bearbeitung ein. Dabei sind die größten Herausforderungen, die Güter zeitnah, zuverlässig und kostengünstig an die Kunden zu liefern.
Neben den unmittelbaren Herausforderungen aus dem unzulänglichen Zustand der physischen Transportinfrastruktur stellen die indirekten, weichen Faktoren Unternehmen bei der Distributionslogistik immer wieder vor Probleme. Die dargestellten Lösungsansätze basieren u. a. auf Interviews mit Unternehmen, die bereits Erfahrungen bei den logistischen Herausforderungen in Westafrika gemacht haben. So bekommen westliche Unternehmen konkrete und praktikable Hinweise für einen erfolgreichen Markteintritt in (West-)Afrika.