Essays about: "Värde attribut"

Showing result 1 - 5 of 14 essays containing the words Värde attribut.

  1. 1. Value based selling : Key value drivers for SMEs within the steel industry

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Simon Anderson; Markus Johannisson; [2022]
    Keywords : Value based selling; Customer perceived value; Perceived value; Value drivers; Värdebaserad försäljning; Kundens upplevda värde; Upplevt värde; Värde attribut;

    Abstract : Building upon previous research around value drivers, the purpose for this study was to review what value-drivers the SMEs within the Swedish steel industry find most important in their suppliers and how the industry as a whole can evaluate this information in a value-based selling approach. In today's literature regarding customer perceived value, the focus has been towards service related industries, and mainly within a B2C context. READ MORE

  2. 2. Assessing the Impact of Distance to Logistical Nodes in Sweden : Are the Transaction Values of Logistic Properties Affected by Distance to Logistical Nodes?

    University essay from KTH/Fastigheter och byggande

    Author : Benjamin Gillberg; Henry Toma; [2022]
    Keywords : Distance; Regression; Hedonic pricing model; Transaction value; Logistical nodes; Logistic Property; Avstånd; Regressioner; Hedonisk prismodell; Transaktionvärden; Logistiksa noder; Logistikfastigheter;

    Abstract : This study utilized hedonic pricing models and regression analysis to evaluate if, and to whatextent distance to certain logistics nodes impact the transactional value of warehouses andlogistics properties. The study is conducted in Sweden, using data collected from transactionsthat have been conducted in the three largest cities in Sweden between the years 2016 - 2022. READ MORE

  3. 3. Empirical Study of the Impact of Green Certification on the Rental Income : Do Green Certifications Add Value to Office Buildings?

    University essay from KTH/Fastigheter och byggande

    Author : Alexander Köhler; Johan Rydholm; [2021]
    Keywords : Green Buildings; Sustainability; Green Certifications; Office Buildings; Rent Premium; Hedonic Price model; Rent Impact; Gröna Byggnader; Hållbarhet; Miljöcertifieringar; Kontorsbyggnader; hyrespremium; Hedonisk prismodell; hyrespåverkan;

    Abstract : The purpose of this study is to investigate whether or not green certificates have an impact on income-generating commercial buildings' rent compared to similar non-certified commercial buildings. In addition, evaluate if there exists a variation in the rent premium between the different certifications and if the rental premium increases with the distance from city center. READ MORE

  4. 4. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs

    University essay from KTH/Matematisk statistik

    Author : Lai-Yan Wong; [2021]
    Keywords : Credit Scoring Model; Probability of Default; Payment Behaviour; Subprime Customer; Non-performing Loan; Logistic Regression; Regularization; Feature Selection; Kreditvärdighetsmodell; Sannolikhet för Fallissemang; Betalningsbeteende; Högriskkunder; Nödlidandelån; Logistik Regression; Regularisering; Variabelselektion;

    Abstract : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. READ MORE

  5. 5. Using Twitter Attribute Information to Predict Stock Prices

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

    Author : Roderick Karlemstrand; Ebba Leckström; [2021]
    Keywords : Stock price prediction; Machine Learning; Deep Learning; Time series prediction; Twitter; Twitter attributes;

    Abstract : Being able to predict stock prices might be the unspoken wish of stock investors. Although stock prices are complicated to predict, there are many theories about what affects their movements, including interest rates, news and social media. With the help of Machine Learning, complex patterns in data can be identified beyond the human intellect. READ MORE