Organisaatiorakenteiden vaikutuksia yritysten innovatiivisuuteen

Tämän työn tavoitteena oli selvittää, miten erilaiset organisaatiorakenteet vaikuttavat yritysten innovatiivisuuteen. Siinä käsitellään organisaatioiden rakenteiden jaottelua ja ominaisuuksia, ja käydään läpi innovatiivisuuteen tarvittavia resursseja ja siihen vaikuttavia ympäristön ominaisuuksia. Työn lopuksi tarkastellaan eri rakennemallien innovatiivisuutta edistäviä ja estäviä tekijöitä, ja tehdään yhteenveto innovatiivisuuden kannalta hyvistä ja huonoista rakenteista. Organisaatiorakenteet jaotellaan kuuteen malliin, mutta käytännössä niistä voidaan luoda yhdistelmiä kunkin organisaation tarpeen mukaan. Rakenteilla huomattiin olevan vaikutusta innovatiivisuuteen. Voidaan sanoa, että innovaatioiden kannalta parhaita ovat rakenteeltaan joustavat organisaatiot, joissa on matala hierarkiataso ja runsaasti kommunikaatiota. Esimerkkinä sellaisesta toimii erityisesti matriisirakenne. Huonosti innovaatiotoimintaa tukevia ovat toiminto- ja divisioonarakenteet, lähinnä joko reagoinnin hitauden tai asiantuntijuuden pinnallisuuden takia. Yrityksen tulee löytää tasapaino joustavuuden ja byrokratian välillä saavuttaakseen omalla toimialallaan tarpeellisen innovatiivisuuden. Sen tulee myös perehtyä tarpeisiinsa ja arvioida millaisia päämääriä todellisuudessa halutaan saavuttaa. Innovaatiotoiminnan kehittämisessä yrityksen johdon tulee ottaa huomioon nämä päämäärät ja kyseisen organisaation rakenne.

Country Risk and Market Reactions to Earnings Announcements: Evidence from Finnish Stock Markets

The objective of this thesis is to examine the market reaction around earnings announcements in Finnish stock markets. The aim is to find out whether the extreme market conditions during the financial crisis are reflected in stock prices as a stronger reaction. In addition to this, the purpose is to investigate how extensively Finnish listed companies report the country segmentation of revenues in their interim reports and whether the country risk is having a significant impact on perceived market reaction. The sample covers all companies listed in Helsinki stock exchange at 1.1.2010 and these companies’ interim reports from the first quarter of 2008 to last quarter of 2009. Final sample consists of 81 companies and 630 firm-quarter observations. The data sample has been divided in two parts, of which country risk sample contains 17 companies and 127 observations and comparison sample covers 66 companies and 503 observations. Research methodologies applied in this thesis are event study and cross-sectional regression analysis. Empirical results indicate that the market reaction occurs mainly during the announcement day and is slightly stronger in case of positive earnings surprises than the reactions observed in previous studies. In case of negative earnings surprises no significant differences can be observed. In case of country risk sample and negative earnings surprise market reaction is negative already in advance of the disclosure contrary to comparison sample. In case of positive surprise no differences can be observed. Country risk variable developed during this study seems to explain only minor part of the market reaction.

Customer Driven Order-to-Delivery Process

This thesis was made for a large forest industry company’s business segment. The purpose of the study was to improve the performance of the order-to-delivery process of the business segment. The study proceeded in three phases. The first phase was to define customer expectations in the market. The second phase was to analyse the performance and the operations of the order-to-delivery process, and to define any challenges or problems in serving the customers. The third and final phase was improving the performance of the order-to-delivery process, within the scope defined by the first two phases. The analysis showed that the delivery reliability is an essential but a challenging issue in the case company’s markets. On delivery reliability standpoint, the most challenging factors were the detected information flow distortions within the company as well as in the whole supply chain, and the lack of horizontal control over the multi-stage process.

Metaanin muodostumisen mallintaminen kaatopaikalla

Methane-rich landfill gas is generated when biodegradable organic wastes disposed of in landfills decompose under anaerobic conditions. Methane is a significant greenhouse gas, and landfills are its major source in Finland. Methane production in landfill depends on many factors such as the composition of waste and landfill conditions, and it can vary a lot temporally and spatially. Methane generation from waste can be estimated with various models. In this thesis three spreadsheet applications, a reaction equation and a triangular model for estimating the gas generation were introduced. The spreadsheet models introduced are IPCC Waste Model (2006), Metaanilaskentamalli by Jouko Petäjä of Finnish Environment Institute and LandGEM (3.02) of U.S. Environmental Protection Agency. All these are based on the first order decay (FOD) method. Gas recovery methods and gas emission measurements were also examined. Vertical wells and horizontal trenches are the most commonly used gas collection systems. Emission measurements chamber method, tracer method, soil core and isotope measurements, micrometeorological mass-balance and eddy covariance methods and gas measuring FID-technology were discussed. Methane production at Ämmässuo landfill of HSY Helsinki Region Environmental Services Authority was estimated with methane generation models and the results were compared with the volumes of collected gas. All spreadsheet models underestimated the methane generation at some point. LandGEM with default parameters and Metaanilaskentamalli with modified parameters corresponded best with the gas recovery numbers. Reason for the differences between evaluated and collected volumes could be e.g. that the parameter values of the degradable organic carbon (DOC) and the fraction of decomposable degradable organic carbon (DOCf) do not represent the real values well enough. Notable uncertainty is associated with the modelling results and model parameters. However, no simple explanation for the discovered differences can be given within this thesis.

[Kirja-arvio]

Kirjallisuusarvostelu

Dosentti Päivi Paasto in memoriam

Kirjallisuusarvostelu

Innovaatioympäristöjen tutkimuksesta ja sen evoluutiosta

Kirjallisuusarvostelu

Elinkaarimallia muillekin

Kirjallisuusarvostelu

Metsäteollisuuden käännekohdat

Kirjallisuusarvostelu

Suomalaiset maailmaa tutkimassa

Kirjallisuusarvostelu