One more lie: the Monday effect in Spain’s retail petrol market

Empirical evidence drawn from the economic literature points to a low level of competition in the retail petrol market. Similar evidence can be found for the Spanish market. In fact, both Spain’s antitrust authority -Comisión Nacional de la Competencia- and its energy regulator -Comisión Nacional de la Energía- have recently initiated disciplinary proceedings against the majors on the grounds of suspected price manipulation in the retail petrol market. They are accused of cutting retail prices on Mondays so as to distort the rank position of Spain in European Union statistics in a practice that has received the name of the Monday effect. Here, we analyze this effect by constructing a database that includes daily retail prices for all petrol stations in Spain in the period 2009-2012, and a more detailed database for the city of Barcelona in 2013. Our estimations confirm that: 1- in 2011 and 2012 prices fell on Mondays at retailers branded by majors; 2- prices were unchanged at stations in our two control groups; 3- prices were also seen to fall when a more detailed analysis was conducted, and this price cut was also found in 2013. In short, one more indicator of collusion in this sector and … one more lie.

Merchandising Strategies and Retail Performance for Seasonal Fashion Products

This study presents mathematical methods for evaluation of retail performance with special regard to product sourcing strategies. Forecast accuracy, process lead time, offshore / local sourcing mix and up front / replenishment buying mix are defined as critical success factors in connection with sourcing seasonal products with a fashion content. As success measures, this research focuses on service level, lost sales, product substitute percentage, gross margin, gross margin return on inventory and mark down rate. The accuracy of demand forecast is found to be a fundamental success factor. Forecast accuracy depends on lead time. Lead times are traditionally long and buying decisions are made seven to eight months prior to the start of the selling season. Forecast errors cause stockouts and lost sales. Some of the products bought for the selling season will not be sold and have to be marked down and sold at clearance, causing loss of gross margin. Gross margin percentage is not the best tool for evaluating sourcing decisions and in the context of this study gross margin return on inventory, which combines profitability and assets management, is used. The findings of this research suggest that there are more profitable ways of sourcing products than buying them from low cost offshore sources. Mixing up front and inseason replenishment deliveries, especially when point of sale information is used for improving forecast accuracy, results in better retail performance. Quick Response and Vendor Managed Inventory strategies yield better results than traditional up front buying from offshore even if local purchase prices are higher. Increasing the number of selling seasons, slight over buying for the season in order to

Kuluttajan kokeman tuotemielikuvan muodostuminen säädellyillä markkinoilla

Brändimarkkinoinnin kannalta on tärkeää ymmärtää kuluttajan kokeman tuotemielikuvan rakentuminen. Tutkimuksessa kuluttajan kokeman tuotemielikuvan muodostumista säädellyillä markkinoilla on käsitelty brändin, pakkausdesignin ja hintamielikuvan näkökulmasta. Tutkimuksessa on hyödynnetty olemassa olevaa tutkimusaineistoa kuluttajan kokeman tuotemielikuvan syntymisestä päivittäistavarakaupan tuotteissa. Tutkimuksen empiirisessä osassa on hyödynnetty kvalitatiivista tutkimusaineistoa kuluttajien kokemista tuotemielikuvista säädellyillä markkinoilla. Tutkimuksen empiirisenä tuloksena saatiin punnittua käytetyn brändinimen, pakkausdesignin ja hintapositioinnoin suhdetta kokonaismielikuvan luomisessa. Tutkimuksen tuloksia voidaan käyttää päivittäistavarakaupan tuotekonseptien suunnittelussa ja olemassa olevien brändien kehittämisessä.

Retail sub - dealer's agreement

kuv., 41 x 26 cm

Retail sub - dealer's agreement

kuv., 41 x 26 cm

Nuclear and mitochondrial DNA markers in traceability of retail beef samples

Several characteristics are important in a traceability system of animal products, such as age at slaughter, breed composition, besides information of the productive chain. In general, the certification agent records information about the animals and the system which it came from, although cannot guarantee that the slaughtering, meat processing and distribution are error proof. Besides, there is a differential price, at least at the international market, based on sex and breed composition of the animals. Genetic markers allow identification of characteristics controlled in the beef cattle traceability program, as sex and breed composition, in order to correctly identify and appraise the final product for the consumer. The hypothesis of this study was that the majority beef samples retailed in the local market originate from female with a great participation of zebu breeds. Therefore, the objective of this work was to characterize retail beef samples with DNA markers that identify cattle sex and breed composition. Within 10 beef shops localized in Pirassununga, SP, Brazil, 61 samples were collected, all were genotyped as harboring Bos taurus mitochondrial DNA and 18 were positive for the Y chromosome amplification (male). For the marker sat1711b-Msp I the frequency of the allele A was 0.278 and for the marker Lhr-Hha I the frequency of the allele T was 0.417. The results of sat1711b-Msp I and Lhr-Hha I allelic frequencies are suggestive that the proportion of indicus genome compared with the taurine genome in the market meat is smaller than the observed in the Nellore breed. The procedure described in this study identified sex and subspecies characteristics of beef meat samples, with potential application in meat products certification in special as an auxiliary tool in beef cattle traceability programs.

Päivittäistavarakaupan jakelumallivaihtoehdot ja kuljetukset tuoteryhmittäin

Tässä työssä jaetaan supermarket-kokoluokan päivittäistavaran vähittäiskaupan tuotevalikoima tuoteryhmiin ja selvitetään tuoteryhmäkohtaisesti keskusliikkeen mahdollistamat jakelurakenne vaihtoehdot. Toimintaympäristönä työssä on Suomi. Työssä päädytään jakamaan koko tuotevalikoima yhdeksään tuoteryhmään ja tuoteryhmien soveltuvuutta tutkitaan keskusliikkeen mahdollistamissa neljässä eri jakelumallivaihtoehdossa. Jakelumallin valintaan vaikuttaa tuotteiden varastointipäätökset sekä kuljetusolosuhteet, etenkin lämpötila. Työn perusteella keskusliikemallia ei voida luoda yksiselitteisesti vain tuoteryhmien perusteella, vaan lopullinen toimiva malli on yritys- ja tuotekohtainen. Myöskään jakelumallivaihtoehdon valintaa ei voida kaikissa tapauksissa valita ainoastaan tuoteryhmän perusteella, vaan tuoteryhmien sisälläkin on poikkeamia optimaalisessa jakelumallissa. Tuoteryhmän sisäisiin poikkeamiin vaikuttavat etenkin toimittaja, etäisyydet ja tuotekohtaiset ominaisuudet.

Carrier selection and management : A case study on Neste Oil Retail

Service provider selection has been said to be a critical factor in the formation of supply chains. Through successful selection companies can attain competitive advantage, cost savings and more flexible operations. Service provider management is the next crucial step in outsourcing process after the selection has been made. Without proper management companies cannot be sure about the level of service they have bought and they may suffer from service provider's opportunistic behavior. In worst case scenario the buyer company may end up in locked-in situation in which it is totally dependent of the service provider. This thesis studies how the case company conducts its carrier selection process along with the criteria related to it. A model for the final selection is also provided. In addition, case company's carrier management procedures are reflected against recommendations from previous researches. The research was conducted as a qualitative case study on the principal company, Neste Oil Retail. A literature review was made on outsourcing, service provider selection and service provider management. On the basis of the literature review, this thesis ended up recommending Analytic hierarchy process as the preferred model for the carrier selection. Furthermore, Agency theory was seen to be a functional framework for carrier management in this study. Empirical part of this thesis was conducted in the case company by interviewing the key persons in the selection process, making observations and going through documentations related to the subject. According to the results from the study, both carrier selection process as well as carrier management were closely in line with suggestions from literature review. Analytic hierarchy process results revealed that the case company considers service quality as the most important criteria with financial situation and price of service following behind with almost identical weights with each other. Equipment and personnel was seen as the least important selection criterion. Regarding carrier management, the study resulted in the conclusion that the company should consider engaging more in carrier development and working towards beneficial and effective relationships. Otherwise, no major changes were recommended for the case company processes.

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Do retail investors use technical analysis? Evidence from Stuttgart stock exchange.

Tutkielma käyttää automaattista kuviontunnistusalgoritmia ja yleisiä kahden liukuvan keskiarvon leikkauspiste –sääntöjä selittääkseen Stuttgartin pörssissä toimivien yksityissijoittajien myynti-osto –epätasapainoa ja siten vastatakseen kysymykseen ”käyttävätkö yksityissijoittajat teknisen analyysin menetelmiä kaupankäyntipäätöstensä perustana?” Perusolettama sijoittajien käyttäytymisestä ja teknisen analyysin tuottavuudesta tehtyjen tutkimusten perusteella oli, että yksityissijoittajat käyttäisivät teknisen analyysin metodeja. Empiirinen tutkimus, jonka aineistona on DAX30 yhtiöiden data vuosilta 2009 – 2013, ei tuottanut riittävän selkeää vastausta tutkimuskysymykseen. Heikko todistusaineisto näyttää kuitenkin osoittavan, että yksityissijoittajat muuttavat kaupankäyntikäyttäytymistänsä eräiden kuvioiden ja leikkauspistesääntöjen ohjastamaan suuntaan.

Consumers' opinions on scent marketing usage in retail environment

Tutkielman tarkoituksena on tutkia suomalaisten kuluttajien mielipiteitä ja käsityksiä tuoksumarkkinoinnin käytöstä vähittäistavarakauppa olosuhteissa. Tutkielma keskittyy tuoksumarkkinoinnin kahteen pääasialliseen osa-alueeseen vähittäistavarakaupassa; tuoksumarkkinointiin osana brändäystä ja tuoksumarkkinoinnin alitajuntaiseen käyttöön. Tutkielma on laadullinen tutkimus. Aineisto kerättiin viideltä suomalaiselta kuluttajalta ja aineistonkeruumenetelmänä toimi haastattelu. Tutkimuksen tulokset osoittavat kuluttajien mielipiteiden olevan positiivisia tuoksumarkkinoinnin käyttöä kohtaan. Tuloksien mukaan kuluttajat suosivat tuoksumarkkinoinnin käyttöä ennemmin brändäyksessä kuin tuoksumarkkinoinnin alitajuista käyttöä. Tuoksumarkkinoinnin alitajuista käyttöä ei kuitenkaan todettu täysin negatiiviseksi, sillä kuluttajat uskovat, että ostopäätös tehdään perustuen tärkeämpiin asioihin kuin tuoksuun, kuten esimerkiksi tuotteen hintaan perustuen. Kuluttajat uskovat, että alitajuisella käytöllä ei ole suurta vaikutusta asiakkaan ostopäätökseen muulloin kuin joissakin yksittäisissä heräteostoksissa.

Households’ willingness to engage in demand response in the Finnish retail electricity market: an empirical study

If electricity users adjusted their consumption patterns according to time-variable electricity prices or other signals about the state of the power system, generation and network assets could be used more efficiently, and matching intermittent renewable power generation with electricity demand would be facilitated. This kind of adjustment of electricity consumption, or demand response, may be based on consumers’ decisions to shift or reduce electricity use in response to time-variable electricity prices or on the remote control of consumers’ electric appliances. However, while demand response is suggested as a solution to many issues in power systems, actual experiences from demand response programs with residential customers are mainly limited to short pilots with a small number of voluntary participants, and information about what kinds of changes consumers are willing and able to make and what motivates these changes is scarce. This doctoral dissertation contributes to the knowledge about what kinds of factors impact on residential consumers’ willingness and ability to take part in demand response. Saving opportunities calculated with actual price data from the Finnish retail electricity market are compared with the occurred supplier switching to generate a first estimate about how large savings could trigger action also in the case of demand response. Residential consumers’ motives to participate in demand response are also studied by a web-based survey with 2103 responses. Further, experiences of households with electricity consumption monitoring systems are discussed to increase knowledge about consumers’ interest in getting more information on their electricity use and adjusting their behavior based on it. Impacts of information on willingness to participate in demand response programs are also approached by a survey for experts of their willingness to engage in demand response activities. Residential customers seem ready to allow remote control of electric appliances that does not require changes in their everyday routines. Based on residents’ own activity, the electricity consuming activities that are considered shiftable are very limited. In both cases, the savings in electricity costs required to allow remote control or to engage in demand response activities are relatively high. Nonmonetary incentives appeal to fewer households.