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Rising globalization and digitization resulted in crises for the fashion industry. High competition and the interconnectedness of the consumers rule the market and put it under pressure. Owing to the growing power consumers possess, the requirements towards the fashion players are increasing. Customer experience is frequently discussed these days by academics as well as practitioners and emphasized as a competitive advantage. Yet, it is difficult to measure and to track its consequences.
Since customer experience is elusive and no industry specific measurement scale is defined, at first this work aims to identify relevant touch points of customer experience in the fashion industry by dint of a focused interview. The further objective of this paper is to enhance the comprehension of the touch points’ effects or rather the relationship of customer experience with brand loyalty. This is approached by a questionnaire based on the preceding qualitative analysis and the resulting model. This model defines the customer experience touch points as the independent variables while brand loyalty is examined as the dependent variable. The conducted linear regression analysis reveals a moderate effect of customer experience on brand loyalty and the touch points concerning the products as most relevant in this relationship. Additionally, the digitization aspect is addressed by the examination of the relationship in the offline and online channels separately. With respect to this, the present study recognizes that the extent of the customer experience’s impact on brand loyalty and the significant touch points vary across channels to a certain degree.
Digitalization is invading every aspect of our lives and modern technologies are at the helm of much disruptive change in all spheres of life. Hailed as the 4th industrial revolution every company has a mind to understand the implications of the Industry 4.0 suit of technologies and their multiple innovative applications for its operations. In this paper, we explore how the industry 4.0 transformation might affect Small and Medium sized
enterprises in Germany over a 15-year horizon. We focus on SMEs because they play a significant role in ensuring the prosperity of Germany as a global industrial and economic
powerhouse. We develop alternative pictures of the possible futures using the foresight technique of Scenario planning in which the factors that shape the business environment
SMEs and indeed all companies operate in are identified and used to build the most plausible alternative realities. The outcome is four distinct scenarios that reflect the possible growth trajectories regarding the impending transformation for SMEs.
Due to the increased complexity in advertising and branding, a shift towards a greater use of emotional branding can be observed. In this context music, especially sogos and jingles, are one of the main elements, which seem to allow organizations to reinforce the transmitted brand image towards the consumers. However, so far no guidelines have been developed, which musical components should be included in the jingle to transmit certain emotions and brand images. The following study examines the fit between 11 brand jingles and the corresponding television commercials and analyses how well the jingles represent the actual and targeted brand image. With the help of a quantitative online survey with 170 participants it could be shown that jingles are indeed powerful tools to transmit certain emotions and the connected brand images. Furthermore, several guidelines for the creation of jingles could be developed in order to create and implement these short and catchy tunes as an extension of the visual advertisement.
In this paper, different factors influencing the perceived data security (PDS) of online shoppers are analyzed. For this purpose, the authors first conduct a literature review and later analyze the results of an empirical study, by applying a regression analyses. Based on the findings of this research, the paper identified the frequency of gathering information on the topic of data security and the experience of being hacked as factors with a significant negative impact on PDS. In addition, a well perceived benefit and, in special cases, an e-Commerce business’ brand can positively influence PDS of customers. In conclusion, the paper delivers insights into the perceptions of data security and delivers some suggestions on how a company could improve the PDS of their customers.
This thesis investigates the effect choice options in e-commerce applications have on consumers’ decision making. Previous research showed that a large number of options
can affect consumers negatively. However, the conditions for such choice overload are unclear. After reviewing the existing research, the amount of information (entropy)
contained in a choice set and individual differences were determined as possible influencing factors in an online environment. In a choice experiment, choice sets with
varying information loads and an assessment of the Big Five personality traits were used to test the impact of the two identified factors on choice avoidance behavior. Results from chi-square-tests and a logistic regression model suggest choice overload but without entropy having an effect. A logistic regression model revealed that extraverted consumers are easier overloaded. A low Neuroticism score was found to be related to less occurrence of a too-much-choice-effect. Consumers with a high Openness score on the other hand choose one of the presented options more often and were therefore less often
overwhelmed by the assortment. An interaction effect between personality and the amount of entropy was not found. These findings extend the research on choice overload and offer valuable input for marketers targeting consumers online.
This thesis has the purpose to investigate the oil price as the global economic factor but also to examine its implications on the worldwide economy. Thereby the determinants of the oil price are investigated by tackling the oil price itself from three different perspectives – the supply and demand framework, the prevailing world oil market structure as well as from the perspective of already statistically proven oil price determinants. In addition, the arising macroeconomic implications of oil price fluctuations on oil-importing and oil-exporting countries are examined. The investigation based on a thought experiment demonstrates the supply and demand framework to be unable to fully explain all past price changes. The examination on the prevailing market structure identifies the world oil market to be best described as a supply, pure, closed, partial and collusive form of an oligopoly. Analyzing the competitive behavior of the world oil market on three levels identifies non-OPEC producers’ competition to behave in a Cournot manner whereas among OPEC producers Saudi Arabia is identified to be a Stackelberg-follower with certain conditions while at the same time permanently bearing the ambition to become the Stackelberg-leader. The identification on the best describing oligopoly model for the overall industry is inconclusive. Investigating OPEC’s cartel hypothesis does not fully exclude its collusive behavior but denies the OPEC to be described as a prime example of a cartel. The examination of already existing econometric analyses identified a total of 13 determinants to play a key role in the oil price definition process. Investigating the arising macroeconomic implications of oil price fluctuations show oil price changes to be of great importance for the overall economic performance and is best described as a form of a positive of negative vicious circle in which the interconnected second or even third round effects intensify the implications on the macroeconomic activity.