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Showing result 1 - 5 of 137 essays matching the above criteria.

  1. 1. “The Effects of Sensory Marketing in Physical Second-Hand Stores” : A qualitative study of how applying sensory marketing in a physical second-hand store can influence consumers to choose more sustainable options while shopping for apparel.  

    University essay from Linnéuniversitetet/Institutionen för management (MAN)

    Author : Kajsa Carlsson; Carina Klingestam Lundqvist; [2023]
    Keywords : Second-hand; Sustainability; Sensory Marketing; Physical Stores; Purchase Decisions; Customer Experience; Fast Fashion;

    Abstract : The emergence of online stores specializing in fast fashion apparel has presented a significant challenge to brick-and-mortar stores and has had detrimental consequences for the environment. Consequently, it is essential for physical stores to stay informed about emerging trends in physical store design. READ MORE

  3. 2. The Fast Fashion Business Model vs. Environmental Sustainability: A Case Study of Stronger

    University essay from Jönköping University

    Author : Hermon Tesfay; Tilde Herrlin; [2023]
    Keywords : fast fashion business model; environmental sustainability; sustainable fast fashion brand; sustainable decision-making;

    Abstract : The fast fashion industry is considered to be the second most polluting industry in the world, facing many challenges regarding environmental sustainability. Due to the rising interest and awareness in environmental sustainability, this study was conducted to discover how fast fashion companies make decisions regarding environmental sustainability and how these decisions are affected by the fast fashion business model. READ MORE

  4. 3. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

  5. 4. Det är Lugnt, vi tar det Klarna! : A Qualitative Study of Gen Z’s Purchase Intentions for Fashion Using BNPL in an online and in-store context.

    University essay from

    Author : Amanda Persson; Alexandra Millner; [2023]
    Keywords : BNPL; buy now pay later; purchase intentions; online context; in-store context; payment method; fashion; Gen Z.;

    Abstract : Abstract  Background: The evolution of technology has transformed the way we shop, with BNPL services like Klarna and Qliro gaining popularity among consumers. This form of short-term financing offers flexibility by allowing customers to either pay later or divide their costs into interest-free installments. READ MORE

  6. 5. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Niki Samakovlis; [2023]
    Keywords : Attention mechanism; CNN; Deep Learning; Fashion Style Recognition; Feature Extraction; Generation Z; Uppmärksamhetsmekanism; Faltningsnätverk; Djupinlärning; Igenkänning av klädstilar; Särdragsextraktion; Generation Z;

    Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE