Sammanfattning Studiens syfte är att identifiera kundattityder bland genusmedvetna millennials i avsikt att fastställa hur fysiska servicelandskap med unisexkoncept bör utformas. Utifrån denna information formuleras rekommendationer samt tillhörande modell för företag som ämnar integrera det könsneutrala konceptet i sin butiksprofilering. Studien kommer att behandla teorier utifrån kön, genus och unisex, begreppet konsumentbeteende med fokus på attityder, samt fysiska servicelandskap. Studiens metod är av kvantitativ karaktär och det empiriska materialet utgörs av en enkätundersökning med deskriptiv analys. Totalt inkom 312 svar från undersökningens respondenter varav 259 svar ansågs relevanta för studiens ändamål baserat på det etablerade åldersspannet för millennials, vilket i denna studie är konsumenter födda 1980-2000. Valet av millennials som undersökningsobjekt är grundat i att tidigare undersökningar har funnit att millennials är en genusmedveten kundgrupp, vilket innebär att de ställer sig kritiska till den traditionella och stereotypa könssegregeringen. Denna studie kan verka som praktisk grund för företag samt teoretisk grund för forskare till fortsatta studier då den genomgångna teorin samt empiriska datan indikerar på att kundsegmentet ​genusmedvetna millennials har ett intresse för en bredare implementering av unisexkoncept hos företag i klädbranschen. Studien bidrar med underlag till ett ämne väl värt vidare forskning då flertalet tendenser tyder på en förändring i antågande, där millennials är en betydande del av denna strukturförändring i samhället. För att inte förlora framtidens kunder behöver företag skapa sig en förståelse för unisexkonceptets kärna och inse att det inte handlar om att begränsa, utan att öppna upp design. Att göra allt tillåtet för alla. / Summary The purpose of this study is to identify customer attitudes among gender conscious Millennials to establish how physical service landscapes with a gender-neutral concept should be customized. Based on this information recommendations are formulated, accompanied by a model for businesses who intend to integrate a gender-neutral concept with their business profiles. This study will present theories regarding sex, gender and the gender-neutral concept, the consumer behaviour concept with a main focus on attitudes, as well as the physical servicescape. The methodology used in this study is of a quantitative character and the empirical material constitutes of a survey with a descriptive analysis. A total of 312 answers were submitted by the respondents of which 259 answers were relevant for the purpose of the study based on the established age range for Millennials; which in this study is consumers born 1980-2000. The choice of Millennials as the object of interest is based on previous research which has found that Millennials are a ​gender-sensitive ​generation, which means that they have a critical view on traditional and stereotypical gender segregation. This study can act as a physical base for companies and a theoretical base for researchers to further study the subject since the theory and empirical data indicates that the customer segment ​gender conscious Millennials have an interest of further implementation of the gender-neutral concept in companies in the clothing business. This study contributes with a foundation to a subject well worth further research since a multitude of tendencies indicates that a change is coming, where Millennials are a significant part of this structural change in society. So as not to lose the future customers, companies need to create an understanding for the core of the gender-neutral concept and realize that it’s not about limiting, but to open up design. To make everything allowed for everyone.

This dissertation reviewed extant literature about McGuire’s distinctiveness theory, the Elaboration Likelihood Model of Persuasion, in-group bias theory, racial identity, race source effects, and cultural cues pertaining to targeting African American and Latino consumer markets. Mexican and African American informants were interviewed after viewing magazine advertisements targeted to the other group to determine if distinctiveness to the other’s images and cultural cues occurred. Observations were also reported from ethnographic excursions across Des Moines, Iowa, a city and state where African Americans and Mexicans are numerical rarities or minorities. Results revealed that the majority of informants spontaneously delivered responses that reflected salience with the other group. In fact, both groups saw themselves as a part of a greater people of color community--extending their ethnic identities. Furthermore, informants exhibited a provisional ethnic backlash against viewing Anglos in product advertisements in their ethnic magazines. However, when ads presented a message about diversity, informants thought Anglo images should be included. Both groups said they valued the use of people of color and socially responsible messages in ads for high involvement and low involvement products, however, these images and cultural cues would not lead to purchases of new brands because informants were weary about wasting money on unfamiliar brands in a stressed economy. Consumers also scanned ads for models’ races, and paid attention to how their ethnic group and other people of color were treated in ads. Also, informants reported discussing racial issues often in social circles. A black-brown racial divide was expressed when there was a perceived scarcity of resources and when one group discussed how they felt the other group perceived their race. Finally, class and having on-going personal relationships with members of the other group affected responses. This study offers many academic, managerial, practitioner, social and political implications and recommendations. / text

Thesis (MA)--Stellenbosch University, 2003. / ENGLISH ABSTRACT: Geodemographics has been used extensively as a decision-support tool in both the business sector and the market survey environment in the United States, the United Kingdom and numerous other countries. This has however not been the case in South Africa, partly because of the expense involved in capturing current and complete customer information. As an alternative to capturing all the required customer information, geodemographics has frequently made use of government census data to supplement the organisation-specific data. However, even the census data has its shortcomings. This research has explored a method for building an organisation-specific database using a combination of government census data and organisation-specific data. The organisation-specific data was captured using a questionnaire that was targeted to a specific group of people. The information obtained from the questionnaire and which overlapped with specific census data variables was then used to update the relevant census variables. Cluster analysis was subsequently conducted on the census data in order to identify enumerator areas within the Western Province that had demographic and economic characteristics similar to those of the surveyed areas. Once the appropriate enumerator areas had been identified, the organisation-specific information from the survey was extrapolated to these new areas outside of the surveyed areas. The methodology used in this research provides a process that allows organisations to build a unique geodatabase by making use of the good qualities of both the census data and user-specific data. The resulting geodatabase is one that contains current and pertinent information while also providing complete spatial coverage. / AFRIKAANSE OPSOMMING: Geodemografie word op groot skaal gebruik as n hulpmiddel vir die ondersteuning van besluitneming in die sakesektor en die markopname-omgewing in die Verenigde State, die Verenigde Koninkryk en talle ander lande. Dit is egter nie in Suid-Afrika die geval nie, deels as gevolg van die onkoste verbonde aan vaslegging van die jongste en volledige kliente-inligting. As n altematief vir die vaslegging van al die vereiste kliente-inligting maak geodemografie dikwels gebruik van sensusdata om data eie aan n organisasie aan te vul. Selfs sensusdata het egter tekortkominge. Hierdie navorsing het n metode ondersoek vir die opbou van n databasis eie aan n organisasie deur gebruik te maak van n kombinasie van sensusdata en data eie aan n organisasie. Die data eie aan ri organisasie is vasgele deur gebruik te maak van ri vraelys vir n spesifieke teikengroep. Die inligting wat uit die vraelys verkry is en wat met die spesifieke sensusdataveranderlikes ooreengestem het, is toe gebruik om die relevante sensusveranderlikes by te werk. Skakelingsanalise is daama op die sensusdata uitgevoer ten einde opnemerareas in die Westelike Provinsie te identifiseer wat soortgelyke demografiese en ekonomiese kenmerke gehad het as die areas waarin die vraelysopname gemaak is. Nadat die geskikte opnemerareas gei'dentifiseer is, is die inligting eie aan die organisasie uit die opname geekstrapoleer na hierdie nuwe areas buite die areas waar die opname gemaak is. Die metodologie wat in hierdie navorsing gebruik is, verskaf n metodologie wat organisasies in staat stel om n unieke geodatabasis op te bou deur gebruik te maak van die goeie eienskappe van beide die sensusdata en die data eie aan die gebruiker. Die geodatabasis wat hieruit voortspruit, is een wat die jongste en verbandhoudende inligting bevat en volledige ruimtelike dekking bied.

The purpose of this project was to examine the similarities and differences in magazine advertisements directed to women in China and Taiwan. Through content analysis of advertisments in these two countries, the researcher identified how women were portrayed and the social values or lifestyle attributed to them of each society.

No description available.

M. Tech. (Department of Marketing, Faculty of Management Sciences), Vaal University of Technology. / It is evident that social media has become a fundamental instrument in society and has revolutionised the way society interacts and conducts business. More than 75 percent of the South African Generation Y population are active users of various social media platforms and the collective topics that are discussed include the status quo, entertainment, sports and other various issues that affect society as an integrated whole. However, many challenges are associated with social media concerning the affordability and accessibility of the internet. Consequently, it makes it a challenge for organisations to utilise social media as a reliable marketing instrument. Therefore, the study seeks to examine the effect of social media marketing dimensions on consumer attitudes and adoption among Generation Y consumers. The sample consisted of 285 self-reporting social media active users located in the Southern Gauteng region of South Africa. The study adhered to a quantitative approach and a snowball sampling method, whereby data were collected using a paper and pencil based self-administered questionnaire in 2019. A positivist research philosophy was followed whereby hypotheses where formulated for the study. In addition, formal procedure regarding research ethics were observed during empirical data collection and the questionnaire was also tested for reliability as well as validity. A pilot study preceded the main data collection survey processes. The collected data was analysed using descriptive statistics, correlation analysis and regression models. The results of the study indicated significant positive relationships for the three dimensions of social media marketing, namely in-formativeness (β= +0.302; t= 6.030; p<0.01), source credibility (β= +0.171; t= 2.767; p<0.01), perceived enjoyment (β=+0.169; t=2.956; p<0.00) and Generation Y consumer’s attitude. The fourth dimension being social identity, did not yield a statistically significant relationship in the regression model (β= 0.017; t= 0.256; p=0.01). Furthermore, significant positive relationships were also observed between consumer attitudes and the adoption of social media marketing (β= + 0.276; t-value= 4.841; p<0.01) among Generation Y consumers. As such, insight acquired from this study will assist both marketing academics as well as practitioners in comprehending Generation Y consumers’ perceptions on adoption and attitudes in relation to the adoption of social media as a marketing instrument. Based on the results, recommendations assert that, among others, marketing practitioners should effectively adopt social media as a marketing platform to communicate their marketing efforts and initiatives. Furthermore, marketers should integrate their marketing initiatives and strategies with the 4th industrial revolution. In addition, limitations, future research avenues are identified, and contributions of this study are discussed.

In der akademischen Fachliteratur existieren kaum Forschungsergebnisse zu One-to-One-Marketing, die auf Anwendungen im Einzelhandel ausgerichtet sind. Zu den Hauptgründen zählen, dass Ansätze nicht auf die Größe typischer Einzelhandelsanwendungen skalieren und dass die Datenverfügbarkeit auf Händler und Marketing-Systemanbieter beschränkt ist. Die vorliegende Dissertation entwickelt neue deskriptive, prädiktive und präskriptive Modelle für automatisiertes Target Marketing, die auf Representation Learning und Deep Learning basieren, und untersucht deren Wirksamkeit in Praxisanwendungen. Im ersten Schritt zeigt die Arbeit, dass Representation Learning in der Lage ist, skalierbar Marktstrukturen zu analysieren. Der vorgeschlagene Ansatz zur Visualisierung von Marktstrukturen ist vollständig automatisiert und existierenden Methoden überlegen. Die Arbeit entwickelt anschließend ein skalierbares, nichtparametrisches Modell, das Produktwahl auf Konsumentenebene für alle Produkte im Sortiment großer Einzelhändler vorhersagt. Das Deep Neural Network übertrifft die Vorhersagekraft existierender Benchmarks und auf Basis des Modells abgeleitete Coupons erzielen signifikant höhere Umsatzsteigerungen. Die Dissertation untersucht abschließend eine Coupon-Engine, die auf den entwickelten Modellen basiert. Der Vergleich personalisierter Werbeaktionen mit Massenmarketing belegt, dass One-to-One Marketing Einlösungsraten, Umsätze und Gewinne steigern kann. Eine Analyse der Kundenreaktionen auf personalisierte Coupons im Rahmen eines Kundenbindungsprogrammes zeigt, dass personalisiertes Marketing Systemnutzung erhöht. Dies illustriert, wie Target Marketing und Kundenbindungsprogramme effizient kombiniert werden können. Die vorliegende Dissertation ist somit sowohl für Forscher als auch für Praktiker relevant. Neben leistungsfähigeren Modellansätzen bietet diese Arbeit relevante Implikationen für effizientes Promotion-Management und One-to-One-Marketing im Einzelhandel. / Research on one-to-one marketing with a focus on retailing is scarce in academic literature. The two main reasons are that the target marketing approaches proposed by researchers do not scale to the size of typical retail applications and that data regarding one-to-one marketing remain locked within retailers and marketing solution providers. This dissertation develops new descriptive, predictive, and prescriptive marketing models for automated target marketing that are based on representation learning and deep learning and studies the models’ impact in real-life applications. First, this thesis shows that representation learning is capable of analyzing market structures at scale. The proposed approach to visualizing market structures is fully automated and superior to existing mapping methods that are based on the same input data. The thesis then proposes a scalable, nonparametric model that predicts product choice for the entire assortment of a large retailer. The deep neural network outperforms benchmark methods for predicting customer purchases. Coupon policies based on the proposed model lead to substantially higher revenue lifts than policies based on the benchmark models. The remainder of the thesis studies a real-time offer engine that is based on the proposed models. The comparison of personalized promotions to non-targeted promotions shows that one-to-one marketing increases redemption rates, revenues, and profits. A study of customer responses to personalized price promotions within the retailer’s loyalty program reveals that personalized marketing also increases loyalty program usage. This illustrates how targeted price promotions can be integrated smoothly into loyalty programs. In summary, this thesis is highly relevant for both researchers and practitioners. The new deep learning models facilitate more scalable and efficient one-to-one marketing. In addition, this research offers pertinent implications for promotion management and one-to-one marketing.