Inledning: En distributionskedja fungerar genom att förädla en råvara till färdig produkt genom råvaruleverantörer, producenter, leverantörer, återförsäljare och konsumenter. I den klassiska distributionskedjan är det i regel leverantörerna som hanterar den slutgiltliga förpackningen och står för det varumärke konsumenten ser i butik. Denna marknad har under senare tid upplevt en stor förändring i form av återförsäljarnas egna märkesvaror (EMV). Dessa varor är tillverkade för att vara så lika marknadsledaren som möjligt och står ofta dessutom direkt bredvid dem i butikshyllan. I regel kostar de lite mindre men upplevs ha liknande värde och kvalitet. Marknadsandelarna för dessa egna märkesvaror har de senaste åren ökat stort och förväntas öka ännu mer. Återförsäljarna tillverkar inte dessa egna märkesvaror själva - de produceras av leverantörerna. Då denna marknad är mättad förlorar leverantörerna marknadsandelar då dessa produkter tar plats på marknaden. Denna studie vill gå till botten med hur leverantörerna hanterar denna trend för att fortsätta vara lönsamma och vara en del av distributionskedjan. Syfte: Studien syftar till att utforska leverantörers möjligheter, risker och strategiska beslut i hänseende till en organisations plats och styrka i distributionskedjan. Metod: Detta är en kvalitativ studie som utgår från leverantörens perspektiv. Empirin har samlats in genom semistrukturerade intervjuer med nyckelpersoner hos leverantörsorganisationer som är engagerade i EMV-produktion. Slutsats: EMV erbjuder leverantörerna många möjligheter till tillväxt och utökad konkurrensstyrka, men till en sämre marginal och kostnadsstruktur vilket kan ha förödande konsekvenser. EMV utmanar den klassiska synen på distributionskedjan och konkurrensstrategier. / Introduction: A classic distribution chain consists of a raw material supplier, manufacturer, wholesaler, retailer and consumer. In this chain it's usually the manufacturers that delivers the branded product which ends up in the store shelf. This market has in recent times had a great change in the form of the retailers own brands (PL). These products are made to be similar to the market leader, and they are often placed right next to them on the store shelf. As a rule they have a slightly lower price but the similar quality. These products have risen in popularity and they are expected to rise even more. The retailers however do not manufacture their own products - that is the manufacturer's job. Considering the market is completely mature, this implicates that whenever a new product enters, it does this on the cost of someone else. This study wants to examine how the manufacturers work to keep their place in the distribution chain. Purpose: The purpose of this study is to explore the manufacturer's opportunities, risks and strategic possibilities regarding their place in the distribution chain. Methodology: This is a qualitative study from the suppliers perspective. The data is collected through semi-structured interviews with key personalities from within the organizations who are engaged with private label production. Conclusions: EMV offer the manufacturers many possibilities for growth and strength, but at the cost of lower margins. PL challenges the classic view of the distribution chain and strategies of competition.

This research seeks to explore and understand retailers’ perspectives, realities, and actions regarding refill systems for household products. The reader can ponder not an answer to a question but rather grasp a deeper understanding of the retailers’ role within refill systems, as well as the feasibility of reducing single-use packaging for household products with a goal to reduce waste. Through conducted interviews with retailers, the following categories surrounding refill systems emerged and were explored: drivers, barriers, attitudes, current practices, and future practices. Utilising the Grounded Theory Method, the analysis of the data led to the development of The Theory of Retailer Care. This theory presents that through caring, retailers can drive vertical and horizontal change, along with pressuring and influencing behaviours of consumers and manufactures which in turn support the retailer’s business model.

Methodologies designed to support new product development are receiving increasing interest in recent literature. A significant percentage of new product failure is attributed to a mismatch between designed product features and consumer liking. A variety of methodologies have been proposed and tested for consumer liking or preference prediction, ranging from statistical methodologies e.g. multiple linear regression (MLR) to non-statistical approaches e.g. artificial neural networks (ANN), support vector machines (SVM), and belief rule-based (BRB) systems. BRB has been previously tested for consumer preference prediction and target setting in case studies from the beverages industry. Results have indicated a number of technical and conceptual advantages which BRB holds over the aforementioned alternative approaches. This thesis focuses on presenting further advantages and applications of the BRB methodology for consumer liking prediction. The features and advantages are selected in response to challenges raised by three addressed case studies. The first case study addresses a novel industry for BRB application: the fast moving consumer goods industry, the personal care sector. A series of challenges are tackled. Firstly, stepwise linear regression, principal component analysis and AutoEncoder are tested for predictors’ selection and data reduction. Secondly, an investigation is carried out to analyse the impact of employing complete distributions, instead of averages, for sensory attributes. Moreover, the effect of modelling instrumental measurement error is assessed. The second case study addresses a different product from the personal care sector. A bi-objective prescriptive approach for BRB model structure selection and validation is proposed and tested. Genetic Algorithms and Simulated Annealing are benchmarked against complete enumeration for searching the model structures. A novel criterion based on an adjusted Akaike Information Criterion is designed for identifying the optimal model structure from the Pareto frontier based on two objectives: model complexity and model fit. The third case study introduces yet another novel industry for BRB application: the pastry and confectionary specialties industry. A new prescriptive framework, for rule validation and random training set allocation, is designed and tested. In all case studies, the BRB methodology is compared with the most popular alternative approaches: MLR, ANN, and SVM. The results indicate that BRB outperforms these methodologies both conceptually and in terms of prediction accuracy.

Thesis ?Value generation and management in retail/whole chains? was started with intention to offer enhanced theoretical basis for research in this area, that is still represented insufficiently in comparison to importance of retail/whole chains in whole economy. Additionally the practical inconsistency between trading rules demostrated to customers and trading partners of chains (including visible behaviour of chains) and value driving variables bears interest. The thesis targets following: search and indication of potential value drivers (value affecting variables) of retail/wholesale chains description of such value affecting variables, testing of relevance of such value affecting variables synthesis of description and relevance (importance) gives recommendations and measures for value creation in these chains Based on analysis of external conditions and internal sources were identified following value generating areas: strategy of retail/wholesale chain growing from internal source of competitive advantage ? strategical differentiation, issue of expansion (understood both as strategical variable - potential competitive advantage, and external threat of concentration value creating variables of core business of retail/wholesale chain: price strategy managing of liquidity stabilization of operating profit in condition of fluctuation sales