As the pandemic of COVID-19 is still affecting peoples’ lives in various ways, it is not surprising that it affects consumer behaviour as well. This paper focuses on the changes in consumer behaviour, more specifically on the changes in consumer shopping channel preferences due to the pandemic. Furthermore, it was of interest whether these changes are likely to be long-term, and influence consumer shopping behaviour in the corona-free future. To answer the research question: “How did the pandemic affect consumers’ preferred shopping channels, and are those changes long-term?” a qualitative study was conducted. The study consisted of ten interviews, five of which were with consumers who spent most of the pandemic in Sweden, and five with respondents who spent most of the pandemic in Slovakia. This way, the study compares the responses and thus changes in consumer shopping behaviour and channel preferences of consumers who have experienced different levels of restrictions and recommendations as a response to the pandemic. Indeed, Slovakia’s response to the corona pandemic was much more severe and included much more, longer-lasting, restrictions affecting/restricting consumer shopping.   The study showed that despite the countries adopting very different responses to the pandemic, the consumers changed their shopping behaviour in a rather similar way. Most of the respondents stated that they started shopping less due to the pandemic and that they shopped more online. The main reasons for these developments were (1) reduced need for new clothing during the corona pandemic, (2) stores being closed, and/or (3) consumers trying to reduce their contact with others and keep their distance. However, when asked whether these changes in their behaviour are going to persist into the far future, the responses differed. A portion of respondents stated they will continue to shop online more than prior to the pandemic, while still shopping in traditional, offline, stores as well. Some other respondents, however, stated that they will return to in-store shopping as soon as possible. From these findings, it is clear that shopping for clothes via offline channels will still be important and preferred by many, despite the rise of technologies and online shopping possibilities.   The study contributes to the literature on the corona pandemic and its effects on consumer behaviour, the field of consumer behaviour in general, consumer shopping channel preferences, channel switching intentions, omnichannel literature, and the online shopping literature.

La presente investigación tiene como finalidad determinar cuáles son los potenciales factores que influyen en el Comportamiento de Compra de Moda Ecológica de los millennials en Lima Moderna como estrategia competitiva de los econegocios de moda en el año 2020. El diseño a emplear para la investigación es no experimental, de corte transversal simple y de alcance explicativo. Adicional a ello, se emplea el enfoque cuantitativo como metodología para la recolección de datos; esté último se da a través de la aplicación de encuestas con el propósito de analizar los resultados obtenidos de la relación de las variables de estudio. Asimismo, la confiabilidad del instrumento se evalúa mediante el alfa de Cronbach, el cual es de 0.807 para la variable “Moda Ecológica”, y para la variable “Factores que influyen en el Comportamiento de Compra del Consumidor” es de 0.811. Por otro lado, de una población estimada de 453,012 habitantes millennials en Lima Moderna, se delimitó por medio del método de muestreo probabilístico estratificado una muestra de 384 millennials. Y según el análisis de la contrastación de hipótesis a través de la prueba Chi Cuadrado, se infiere que, los factores que influyen en el comportamiento de compra de Moda Ecológica de los millennials en Lima Moderna son potenciales para la Estrategia Competitiva de los Econegocios de Moda en el año 2020. / This research aims to determine what are the potential factors that influence in the purchase behavior of ecological fashion for millennials in Modern Lima as a competitive strategy for fashion eco-businesses, by 2020. The research design is non-experimental, cross-sectional simple and explanatory scope. In addition to this, the quantitative approach is used as a methodology for data collection, which is given through the application of surveys in order to analyze the results obtained from the relationship of the study variables. Likewise, the reliability of the instrument is evaluated using Cronbach's alpha, which is 0.807 for the variable “Ecological Fashion”, and for the variable "Consumer buying behavior" it is 0.811. On the other hand, from an estimated population of 453,012 millennial inhabitants in Modern Lima, a sample of 384 millennials was delimited by means of the stratified probabilistic sampling method. And according to the analysis of the hypothesis testing through the Chi Square test, it is inferred that the factors that influence the buying behavior of Ecological Fashion for millennials in Modern Lima are potential for the Competitive Strategy of Fashion Eco-businesses in 2020. / Tesis

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The aim of the thesis was to analyze shopping behaviour of online supermarket customers in South Bohemia region and to suggests, which strategies could help the company improve its marketing communication. For this thesis was chosen an e-shop with grocery Plná taška ltd. Plná taška is the first e-shop with grocery in South Bohemia. The whole thesis is divided into a theoretical and a practical part. Theoretical part is based on study of scientific literature and especially on more recent internet resources. In theoretical part are described terms such as consumer behaviour, specifics of retailing, e-commerce and details of online sale of food are defined. The practical part includes analyses of buying behaviour in the field of the purchasing grocery online. The analyses are based on results of questionnaire survey with data collection from 404 respondents. Based on the results of research three target groups were defined. For these groups more specific consumer behaviour was determined. Based on this consumer behaviour personas and recommendations for marketing communication for them were defined. The thesis includes proposals of banner, which can be used on social network Facebook.

This dissertation engages in the development of proposals for the improvement of retail networks. The goal is to propose changes in the strategy of regional retail networks, which should lead to an increase in its competitiveness. The proposed changes are based primarily on observations of selected stores, as the accuracy and functionality of internal processes can only be inspected in the retail units, which creates value for customers.

Title: Comparison of the athletes and blogger influence on the behavioral intentions of secondary school students Objectives: The main objective of this diploma thesis is to compare the influence of athletes and bloggers on the buying preferences of the students of Czech high school through marketing research. Methods: In the thesis are used two interdependent methods. The first of these methods is a questionnaire survey, which includes 508 respondents who were high school students during the survey. 32 respondents separated in two groups attended the second method, which is a focus group. Results: The research results show that athletes influence the behavioral intentions of secondary school students more than bloggers in every researched sphere. The main difference in effectivity is clear from the comparison between both groups by respondents. Keywords: marketing communication, shopping behaviour, reference group, generation Z, sports celebrity, influencer

Background Several researchers have studied atmospheric factors like crowding, col-ours, music and olfactory cues and tested their effect on shopping behav-iour. In the particular case of the influence of music in consumers‟ be-haviour, several notable observations have been made. Yet, the majority of the studies have focused on the phenomena of the music and the influences of its different factors towards consumers‟ be-haviour but little research has focused on managerial awareness of such effects on its consumers. Thus, there are still a lot of doubts about man-ager‟s practices and perception regarding the use and effects of atmos-pheric music. In line with the approaches mentioned above, this thesis intends to fill this gap in the literature through the attainment of two objectives: the first one is to study what exactly clothing retailers are doing in terms of atmospheric music and the second objective is to examine their implicit theories about the impact of the music on consumers‟ shopping behav-iour. Purpose The purpose of this thesis is to study managerial practices and percep-tions of how music affects customers‟ shopping behaviour in clothing retailers in Sweden. Method This study employs a qualitative method. The Data was obtained through semi-structured face to face interviews with managers and staff of clothing retailers in Jönköping. These interviews were conducted in clothing stores located in the two main commercial areas of the city where the majority of the stores were located. Conclusions Our research found that in the big retailers the atmospheric music is used in a more systematically way than in the small ones. This level of sys-tematization is directly related to the level of centralization in decision-making and to the size of the store. On the other hand, with regards to our second objective we found thatnot only managers but also the salespersons working in the clothing stores have a high degree of knowledge about how music affects their customer´s shopping behavior. Some of their implicit theories coincided with what previous researchers have found while others didn´t.

The theme of my graduation thesis was "Attitudes and buying behaviour of customers of a shopping center". The object that I have explore was the shopping center Tesco Pisek. Marketers must be able to survive on the market competition, so they must know their own consumers. It is important to know the consumer behaviour, to know what is importent for consumers and it is also important to know the consumer knowledge of diferent products. This topic has me interested because of the most important timeliness. To get all those information I must do marketing research, these results was evaluated in this graduation thesis.

The thesis focuses on the purchasing behaviour of the Czech and German Internet users. Based on the primary survey and analysis of secondary sources as well as data from the Google Consumer Barometer about Czech and Germany Internet users, it identifies the similarities and differences in shopping behaviour among Czech and German Internet users. Based on the findings, the thesis provides recommendations for the Czech and German traders and the businesses considering expansion to one of these markets. It advises how they can respond most effectively to their customer needs.

近年來傳統線上購物正面臨著一連串的市場困境，如削價競爭、廉價品競爭等，因此導致銷售量之成長趨緩，反觀跨境線上購物卻出現了蓬勃發展的態勢，因而讓跨境線上購物成為驅動經濟活動與國際貿易的新引擎。另一方面，由於跨境線上購物的情境複雜性遠高於傳統的境內線上購物，業者們欲開發一海外新市場，必須先了解該地消費者行為與其購買決策過程後，才能制定出好的商業策略，並且進一步將產品導向的服務轉化成為以顧客導向的服務，才有機會為傳統線上購物之困境另闢生機。因此，引取並了解消費者所體認的內在價值是經營跨境線上購物最重要的成功因素。 本研究將試圖將傳統境內線上購物研究擴展到跨境線上購物議題，藉由文字探勘(Text Mining)分析、語意情感分析與 k-means 分群演算法，挖掘出消費者對於所購買商品之評論的常見內容型態與所購買商品之類別，並試圖找出跨境網購平台上各項因素及商品評論對於產品銷售量間之關連性，提供未來研究者及跨境網購平台業者決策之依據。 / While online shopping websites are facing the difficulties of price and low-quality competition, cross-border online shopping is on a vigorous development trend, showing that cross-border online shopping is an important trend of online shopping field. Due to the complexity of cross-border online shopping is much higher than the traditional domestic online shopping, so understanding the value of cross-border online shopping consumers is the most important success factors. Companies want to develop new markets abroad, must understand the local consumer’s behaviour and their decision-making process in order to make good business strategies. This study uses text mining analytic technology, semantic analysis techniques, and k-means clustering algorithm to identify characteristics of consumers’ reviews and the common categories of goods they purchased. After getting the reason why consumers use cross-border online shopping service and what values they got in this service. Researcher can predict and analyse the evolution and development of cross-border online shopping, provide reference for future online shopping academic studies and online shopping industry’s decision-making.