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Bachelor Thesis from the year 2018 in the subject Business economics - Supply, Production, Logistics, grade: 1,5, Rhine-Waal University of Applied Sciences, language: English, abstract: This paper is about the expectations of targeted customer segments towards food-logistics-services for online grocery shopping. In recent years, the food retail sector in Germany entered the market with a new business model, which can be called "online-grocery-shopping". Unlike in other European countries, this business model is still at its beginning and encounters some challenges to develop and scoop its…mehr

Produktbeschreibung
Bachelor Thesis from the year 2018 in the subject Business economics - Supply, Production, Logistics, grade: 1,5, Rhine-Waal University of Applied Sciences, language: English, abstract: This paper is about the expectations of targeted customer segments towards food-logistics-services for online grocery shopping. In recent years, the food retail sector in Germany entered the market with a new business model, which can be called "online-grocery-shopping". Unlike in other European countries, this business model is still at its beginning and encounters some challenges to develop and scoop its potential entirely. The research status mostly seems to consider just the trader, but little to no emphasis is on the transport service provider. Especially the processes of them must ensure that sensitive groceries are handled and delivered with maximum care until the goods reach the final customer. Also, the German population is a sophisticated customer base, due to their high expectations regarding quality and service. Furthermore, the younger people are represented by high internet affinity, and they count as one of the present and future purchasing powers. This thesis utilizes a questionnaire to study 18-35-year old people regarding their expectations towards the transportation of groceries to contribute to the development of this business model. An assessment by the participants helps to identify the essential expectations. Since Germans are tough customers, an ordinal logistic regression contributes to examine the identified expectations further. This reveals which properties of the customer, whether these are of demographic or fundamental nature, are affecting the expectations. Further, cross-pair comparisons of these properties are executed to crosscheck, how exactly is a property affecting an expectation. After this, based on the results, recommendations for action are stated as specific as possible to help the transport service provider compensate the identified expectations.

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