Logistic services as competitive means : segmenting the retail market for softwood lumber

Abstract

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.

Listeria monocytogenes -bakteerin esiintyminen vähittäiskaupan vakuumipakatuissa kalatuotteissa

Abstract: Listeria monocytogenes in vacuum-packed fish products in the retail market

Markkinaehtoinen hinnoittelu ja loppuasiakasmyynnin mallintaminen sähkökaupan riskienhallinnassa

Markkinauudistuksen myötä sähkökauppa pörssin kautta on lisääntynyt voimakkaasti ja tukkusähkölle on muodostunut yleisesti tunnustettu markkinahinta. Pörssikauppaan sisältyy monia riskejä, joiden hallinta on pörssikauppaa harjoittavan osapuolen toiminnan edellytys. Tukkusähkön hinnan markkinaehtoinen määräytyminen ja pörssikaupan riskit ovat muuttaneet sähkön vähittäismyynnin hinnoittelutarpeita. Työssä esitetään markkinaehtoinen hinnoittelumenetelmä, jossa markkinahinta-, aluehinta- ja profiiliriskit otetaan huomioon. Erityisesti tutkitaan hinnoittelussa vaikeimmin huomioitavissa olevan profiiliriskin muodostumista ja esitetään menetelmä sen hallintaan. Lisäksi esitetään menetelmät suojaustason optimointiin ja suojaustuotteiden toimitusjaksoista poikkeavan sähköntoimituksen hinnoitteluun. Kilpaillussa ympäristössä pärjää parhaiten se, joka toimii kustannustehokkaimmin ja hallitsee riskinsä parhaiten. Työn lopuksi esitetään kuinka myyntisopimuskannan salkuttamista voidaan käyttää hyväksi näihin tavoitteisiin pyrittäessä.

Sähkönmyyntiyhtiöiden riskienhallinnan haasteet ja kehittäminen

Diplomityön tavoitteena on esitellä sähkökaupan ja erityisesti sähköyhtiöiden kokemia sähkönmyynnin riskejä sekä kuvata sähkönmyyntiin liittyvää riskienhallinnan problematiikkaa. Tarkastelun näkökulmana on tietojärjestelmien ja saatavissa olevan tiedon hyödyntäminen energiayhtiöiden riskienhallinnassa. Toinen päätavoitteista on tutkia, kuinka saatavilla olevaa tiedon hyödyntämistä voidaan kehittää sähkönmyynnin hinnoittelussa sekä suojausten suunnittelussa. Työ toteutettiin työskentelemällä asiantuntijana energia-alaan keskittyneessä ohjelmistoyrityksessä sekä haastattelemalla yhdeksän suomalaisen sähkönmyyntiyhtiön henkilöitä riskienhallinnan haasteiden sekä tietojärjestelmien näkökulmasta. Saatavilla olevien tietojen nykyistä parempi hyödyntäminen ja automatisointi voivat auttaa pienentämään yhtiöiden riskitasoa ja parantaa menestymisen edellytyksiä sähkönmyynnin vähittäismarkkinoilla. Lisäksi kulloiseenkin markkinatilanteeseen sopivat sähkön hankintahinnan suojausstrategiat sekä monipuoliset dynaamiset hinnoittelumallit auttavat pienentämään yhtiön kokemia riskejä tai niiden vaikutuksia. Näiden hyödyntäminen vaatii laajaa ymmärrystä sähkö- ja johdannaismarkkinoiden toiminnasta sekä usein myös nykyisten tietojärjestelmien kehittämistä. Tulevaisuudessa yhä yleistyvä hajautettu tuotanto sekä kysynnän jousto asettavat tietojärjestelmille uusia vaatimuksia, jotka toteutuessaan mahdollistavat uudenlaisten palveluiden käyttöönoton sekä voivat tuoda tilaa myös alan uusille toimijoille. Työssä käsitellään energiayhtiöiden kokemia riskejä sähkönmyynnin näkökulmasta, esitellään alan yleisimmät riskit sekä keinot ja työkalut niiltä suojautumiseen. Työn lopuksi tarkastellaan sähkönmyynnin ja –hankinnan oleellisimpia prosesseja riskienhallinnan kehittämisen näkökulmasta.

Datahubin merkitys jakeluverkonhaltijalle case: Vantaan Energia Sähköverkot Oy

Tavoitteena oleva hiilineutraali energiantuotanto muokkaa sähköntuotannosta sykkivämpää ja vaatii kulutuksen sopeutumista siihen. Tämä synnyttää tarpeen kansallisia markkinoita laajemmille sähkön vähittäismarkkinoille ja vaatii kuluttajilta aktiivisempaa roolia markkinoilla. Pohjoismaiset kantaverkkoyhtiöt ovat alkaneet valmistella pohjoismaisia sähkömarkkinoita sähkön vähittäiskaupan avaamiselle. Sähkön vähittäiskaupan avautuminen eri maiden välillä vaatii kansallisten markkinamenetelmien yhtenäistämistä varsinkin taseselvityksen ja tiedonvaihdon osalta. Tässä työssä tutkitaan Suomessa vuonna 2019 käyttöönotettavan keskitetyn tiedonvaihtojärjestelmän, Datahubin, vaikutuksia jakeluverkonhaltijalle. Vaikutuksia tarkastellaan Vantaan Energia Sähköverkot Oy:n näkökulmasta. Työssä kartoitetaan jakeluverkonhaltijan nykyisiä liiketoiminnan pääprosesseja ja niihin liittyvää tiedonvaihtoa eri markkinaosapuolten kanssa prosessien toteutuksessa. Lisäksi työssä esitellään jakeluverkonhaltijan nykyisten liiketoiminnan pääprosessien toteuttaminen Datahubissa. Jakeluverkonhaltijan liiketoiminnan nykyisiä pääprosesseja ja tiedonvaihtoa verrataan Datahubin kautta suoritettaviin prosesseihin. Työssä todettiin Datahubin korjaavan jakeluverkonhaltijan liiketoiminannan nykyisissä pääprosesseissa havaittuja ongelmia ja mahdollistavan prosessien tehostamisen. Datahub ei sinällään muuta nykyisiä jakeluverkonhaltijan liiketoimintaprosesseja merkittävästi, mutta mahdollistaa prosessien kehittämisen markkinoiden muutoksen mukana. Datahubin kokonaisvaltainen hyödyntäminen on toimijoiden itsensä käsissä, niiltä osin, kun sähkömarkkinalaki ei velvoita tiettyyn toimintamalliin. Jakeluverkonhaltijan liiketoimintaprosessien osalta suurin muutos kohdistuu jakeluverkonhaltijan taseselvitykseen, joka siirtyy kokonaisuudessaan Datahubin tehtäväksi. Datahub tulee kaventamaan jakeluverkonhaltijan roolia markkinapaikalla ja siksi jakeluverkonhaltijoiden tulisi kartoittaa liiketoiminnan laajentamisen tarvetta ja mahdollisuuksia tulevaisuudessa.

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.

The structure and development of Russia's food retail sector from the point of view of Finnish food industry

Tämän diplomityön tavoitteena on selvittää Venäjän ruoan vähittäiskaupan rakenne ja sen tuleva kehitys. Tällä hetkellä se on yksi maailman nopeimmin kasvavista markkinoista. Kasvun syynä on korkea öljyn hinta, jokaon kumuloitunut ihmisten palkkoihin. Kuitenkin vaikka tulot kasvavat, ruokaan käytetty osuus tuloista on pysynyt suhteellisen vakaana. Kulutus on siis siirtymässä laadukkaampiin ja arvokkaampiin tuotteisiin Modernien kauppojen osuus markkinoista on vielä pieni, koska Venäjän vähittäiskauppasektori on yhä hajaantunut perinteisiin kauppaformaatteihin kuten kioskeihin, toreille ja pieniin ruokakauppoihin. Kauppaketjut ovat kuitenkin tulossa merkittävämmiksi. Suurin markkina-alue vähittäiskauppiaille on Moskova, mutta tällä hetkellä ketjut laajentavat toimintojaan nopeasti myös muille Venäjän alueille. Parhaat kasvunäkymät ovat alueilla, vaikka Moskovan markkinat eivät olekaan kyllästyneet. Tärkein kasvua rajoittava tekijä Moskovassa on rakennustonttien ja kiinteistöjen saatavuus. Vähittäiskauppamarkkinat lähestyvät kyllästymispistettä, josta seuraa markkinoiden konsolidaatio. Tämä prosessi on jo alkanut, mutta kovin paljon yritysostoja ei ole vielätehty. Toistaiseksi kauppaketjut ovat tyytyneet muodostamaan alliansseja. Ketjut pyrkivät parantamaan asemaansa hintaneuvotteluissa muodostamalla osto-alliansseja, luomalla omia brändejä ja käyttämällä alueellista laajentumista lyömäaseena. Jotta ruoan tuottaja pääsisi myös alueellisille markkinoille, on sen ehkä suostuttava myymään tuotteitaan edullisempaan hintaan. Tavarantoimittajat ovat vahvassa asemassa silloin, kun heillä on toimiva jakeluverkko, kyky JIT-toimituksiin,kunnollinen dokumentaatiokäytäntö, vahva brändi ja edullinen hinta. Ns. listausmaksun suuruus voi määrittää tuottajan tuotteilleen saaman hyllytilan koon.

Russia's food retail sector from the point of view of Finnish food producers

This research paper focuses on the Russian food retail sector and its structure and development. At the momentit is one of the fastest growing markets today with 12.1% growth last year (2004). The growth originates from high oil price, which has been accumulated to people's wages. They are growing nominally more than 20% annually. But even though the income increases, the share of food of all retailtrade has been fairly stable with only a slight decline. Thus, the consumption is shifting to products with more quality and value. The shareof modern retail outlets is low, as the Russian retail sector is still very dispersed to traditional retail outlets such as kiosks, open markets and small grocery stores. The store chains are, however, becoming more and more significant. The biggest market for retailers is Moscow but nowadays the chains are expanding rapidly into other regions. Even though the markets have not been saturated in Moscow, the best prospects for growth are in the regions. The most important factor restricting the growth in Moscowis the availability of real estate and land plots for stores. The market is moving forward to saturation, and a consolidation process will follow. In fact, it has already started but not many acquisitions have been made so far. To this point the domestic chains have settled to form only alliances. The foreign players will be very strong in the tightening competition in the future. The problem of domestic chains is that the stores are nonstandardized, which is not cost-efficient. The chains are trying to enhance their power in price negotiations by forming purchasing alliances, introducing private label goods and using the regional expansion as a striking weapon. In order to follow the growing chains to other regions the producer must sell its products to the chains at favorable terms. Suppliers are strong in negotiations when they have a functioning distribution network, ability to JIT deliveries, proper documentationpolicies, a strong brand, reliability in deliveries and a fair price. The size of the entry ticket, i.e. the listing fee may define the shelf space a producer gets in the stores.

Management of commercial property derived risks in the market context of the Russian Federation

The objective of the thesis is to examine the current state of risk management and to determine an appropriate risk management policy for commercial property derived risks in the Russian branch of a Finnish retail trade company. The employed research methodologies are comparative in-depth interviews and empirical value at risk analysis, including portfolio risk decomposition to determine the inter-currency characteristics. For a multinational retail trade company, the commercial property derived risks open up as a diverse combination of financial and non-financial risks with four distinctive interest groups. The research results indicate that geographical diversification across currency regimes provides diversification benefits. The Russian ruble is the most significant single risk component when considering the net investments outside the euro-zone. Decreasing the Russian ruble and Swedish krona exposures are the most effective methods to reduce translation derived risk. Exchange rate volatility varies over time according to idiosyncratic currency regime characteristics, and cost-effective risk management requires comprehensive analysis of the business environment. Profound and proactive risk management methods are found to be pivotal for companies with cross-border operations in order to succeed among international competitors.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Gearing Towards Omnichannel Grocery Retail Through Business Model Innovation

Technological innovations and the advent of digitalization have led retail business into one of its biggest transformations of all time. Consumer behaviour has changed rapidly and the customers are ever more powerful, demanding, tech-savvy and moving on various plat-forms. These attributes will continue to drive the development and robustly restructure the architecture of value creation in the retail business. The largest retail category, grocery yet awaits for a real disruption, but the signals for major change are already on the horizon. The first wave of online grocery retail was introduced in the mid 1990’s and it throve until millennium. Many overreactions, heavy investments and the burst IT-bubble almost stag-nated the whole industry for a long period of time. The second wave started with a venge-ance around 2010. Some research was carried out during the first wave from a single-viewpoint of online grocery retail, but without a comprehensive approach to online-offline business model integration. Now the accelerating growth of e-business has initiated an increased interest to examine the transformation from traditional business models towards e-business models and their integration on the companies’ traditional business models. This research strove to examine how can we recognize and analyze how digitalization and online channels are affecting the business models of grocery retail, by using business mod-el canvas as an analysis tool. Furthermore business model innovation and omnichannel retail were presented and suggested as potential solutions for these changes. 21 experts in online grocery industry were being interviewed. The thoughts of the informants were being qualitatively analysed by using an analysis tool called the business model canvas. The aim of this research was to portray a holistic view on the Omnichannel grocery retail business model, and the value chain, in which the case company Arina along with its partners are operating. The key conclusions exhibited that online grocery retail business model is not an alterna-tive model nor a substitute for the traditional grocery retail business model, though all of the business model elements are to some extent affected by it, but rather a complementary business model that should be integrated into the prevailing, conventional grocery retail business model. A set of business model elements, such as value proposition and distribu-tion channels were recognized as the most important ones and sources of innovation within these components were being illustrated. Segments for online grocery retail were empiri-cally established as polarized niche markets in contrast of the segmented mass-market of the conventional grocery retail. Business model innovation was proven to be a considera-ble method and a conceptual framework, by which to come across with new value proposi-tions that create competitive advantage for the company in the contemporary, changing business environment. Arina as a retailer can be considered as a industry model innovator, since it has initiated an entire industry in its market area, where other players have later on embarked on, and in which the contributors of the value chain, such as Posti depend on it to a great extent. Consumer behaviour clearly affects and appears everywhere in the digi-talized grocery trade and it drives customers to multiple platforms where retailers need to be present. Omnichannel retail business model was suggested to be the solution, in which the new technologies are being utilized, contemporary consumer behaviour is embedded in decision-making and all of the segments and their value propositions are being served seamlessly across the channels.

Testing for granger-causality in the Finnish roundwood market

Summary