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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.
Sole value – the sneaker resale market :
an explorative analysis of the sneaker resale market
(2018)
The purpose of this explorative research paper is to examine the sneaker resale market and its typical processes in order to give a comprehensive overview over the secondary market for limited edition sneakers. Hypotheses are presented that will be analysed with the empirical research methods of expert interviews and sales data analysis. Amongst other findings, this paper shows that there is a complementary relationship between sneaker brands and the resale market; that product limitation is essential for value increases; that collaborations are necessary for sneaker brands to be relevant on the resale market and that the market is very fragmented. All combined circumstances described in this paper explain the sneaker resale market and its processes. Additionally, some outlooks on the future will be given with the help of expert interviewees and current developments on the market will be discussed.
There is no doubt that the amplification of channel integration towards an omni-channel structure is a powerful idea whose time has finally come. The digitally cross-linked world postulates all-encompassing, ubiquitous, and unobtrusive future services. In the concomitant, increasingly competitive market, retailers are starting to lay the foundation for omnichannel, meeting the expectations of a digitally cunning audience wanting their shopping experience to be as seamless and uncomplicated as possible. Nevertheless, recent researches show that there are still enough avenues for further research on omnichannel. Until now, the performance of companies was solely considered by experts from a suppliers’ point of view. It would be rather interesting to find out whether the desire to meet the increased cus-tomer expectations is also recognized by the customers themselves. This paper seeks to answering how the purchasing behavior has changed and what customers demand. In addition, it elaborates the opportunities that are promoted by omni-channel. Searching out all the effects, the paper will get to a final step, where it can be attested how the omnichannel performance of fashion and lifestyle retailers can be measured from a consumers’ perspective by developing an exclusive index. The study is confined to four fashion and lifestyle retailers: Hugo Boss AG, Levi Strauss & Co, Pull and Bear as well as COS. Using the scientific method of mystery shopping and a multi-item checklist including 54 key performance indicators, the paper aims to examine to which extend the four selected retailers provide a seamless customer journey, according to the five decision-making phases.
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.
A case study with four German fashion retail brands was conducted in order to measure the performance of their Omnichannel services. In detail, their Click & Collect service was analyzed. Click & Collect is one of the first introduced Omnichannel services in fashion retailing. Omnichannel services integrate different sales and communication channels providing a seamless customer journey experience. Offline, online, and mobile app customer experiences should provide a seamless customer experience. Omnichannel performance of the four retailers Decathlon, Hunkemöller, Massimo Dutti and Galeria Kaufhof was measured via mystery shopping. A seamless customer journey experience is not yet a standard in German fashion retailing. The four companies differ in many process details. The biggest market potential and the recommendation for further research emerges in deficits of the offline store Omnichannel customer experience. Here, all four case companies have room to improve. Best overall results regarding the integration of offline, online and mobile shops were found with Hunkemöller, followed by Decathlon, Massimo Dutti, and Galeria Kaufhof.
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.
This paper investigates if food ^ retailing mobile applications from Germany, Austria, USA and the United Kingdom are meant to stay a marginal topic in grocery shopping, or if they have the potential to significantly shape the future of grocery retailing by serving as competitive advantages that can fulfil customer requirements and satisfaction. It has filtered out success factors in form of functions of grocery apps and it has extracted key competencies that can be used to create customer value. The Kano model can help selecting the right app functions. But, there are other prerequisites, like customers’ general attitude towards technology and their acceptance towards any kind of apps, that play an important role looking at the big picture of apps in grocery retailing. However, this paper has contributed one vital part of giving more importance to apps in grocery retailing in form of app functions that clearly deliver customer value. In short, apps that fit customers’ needs and that provide usability and convenience clearly have the potential to shape the future of grocery retailing - if key barriers towards app use are eliminated and if incentives are given that overcome scepticism.
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.
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.
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.
