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The study explores the factors relevant to enticing consumers to purchase goods online at German drugstores and the measures the drugstores can take to address these factors. Based on the Online Shopping Acceptance Model and sector characteristics, enticing factors are derived and corresponding measures relevant to B2C e-commerce are identified. Qualitative research to support the validity is done in the form of in-depth and expert interviews, and of a case study on a company successful in e-commerce, Zalando SE. Results show that currently few factors are enticing and measures to target these are limited, and that only certain aspects of Zalando’s success can be transferred to drugstores. Given the current situation drugstores are advised not to aim at shifting large parts of their business to online channel. Nevertheless, the study provides drugstores a number of measures to improve their online offering in the context of their multi-channel strategy.
The topic of traditional fashion retailers fighting for their position against growing e-commerce suppliers has been omnipresent in recent years. Therefore, it is important to understand what possibilities modern technology and innovation has to offer, and how these innovative technologies can be leveraged to achieve traditional brick-and-mortar-retailer’s goal of staying relevant and competitive.
The objective of this thesis is to examine and compare the effectiveness of different in-store digitalization concepts and technologies in retail organisations, analyzing different challenges such as the practical implementation in stores, customer adoption and acceptance factors in context of socio-demographic, and measuring the success of the concepts. Also, the current situation will be explored to see what is already being done today and where there is more potential using different approaches and technologies. For this purpose, a variety of studies, papers and other literature will be analyzed and put into context with the research topic.
Concluding the thesis, we find that all technologies and its practical applications affect relevant variables in different models such as TAM, the convenience/social presence model, and the customer decision-making process. Besides that, the socio-demographic variables geography, age and gender all influence adoption and readiness towards technology to a certain extent. Finally, we give examples on how the technologies can influence classic fashion retail KPIs.