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

Abstract

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.

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

Retail sub - dealer's agreement

kuv., 41 x 26 cm

Retail sub - dealer's agreement

kuv., 41 x 26 cm

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.

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.

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.