Financier’s credit risk: A Performance-Based Classification Model

The purpose of this study is to view credit risk from the financier’s point of view in a theoretical framework. Results and aspects of the previous studies regarding measuring credit risk with accounting based scoring models are also examined. The theoretical framework and previous studies are then used to support the empirical analysis which aims to develop a credit risk measure for a bank’s internal use or a risk management tool for a company to indicate its credit risk to the financier. The study covers a sample of Finnish companies from 12 different industries and four different company categories and employs their accounting information from 2004 to 2008. The empirical analysis consists of six stage methodology process which uses measures of profitability, liquidity, capital structure and cash flow to determine financier’s credit risk, define five significant risk classes and produce risk classification model. The study is confidential until 15.10.2012.

Activity-Based Costing Model for a Vendor Managed Inventory Service

Uusien paperikoneiden kysyntä on vähentynyt ja jälkimarkkinointipalveluiden, kuten huoltojen ja varaosamyyntien, merkittävyys paperikoneliiketoiminnassa on kasvanut entisestään viime aikoina. Uudentyyppisiä palveluja kilpailuedun lisäämiseksi kehitellään jatkuvasti. Esimerkki tällaisesta palvelusta on sopimusperusteinen varastointipalvelu, jossa osat ovat myyjän varastossa kunnes asiakas ottaa ne käyttöön. Diplomityön tavoite on rakentaa malli varastoinnin kustannuslaskentaan ja laskea sen avulla varastointipalvelun kustannukset. Perinteinen toimitusketju monine varastoineen ei nykykäsityksen mukaan ole enää kustannustehokas. Yhä useammat yritykset kaupan ja teollisuuden aloilla ovat ryhtyneet soveltamaan VMI (Vendor Managed Inventory) teoriaa toimitusketjuissaan. Varastot ovat tällöin keskitettyjä, tiedonkulku toimitusketjun portaiden välillä on nopeaa ja kysyntään pystytään vastaamaan lyhyemmällä viiveellä sen ennakoitavuuden paranemisen takia. Työn tuloksena on toimintolaskentaan pohjautuva kustannuslaskentamalli, jota voidaan hyödyntää myös hinnoittelupäätöksiä tehtäessä. Työssä esitellään mallin soveltaminen eri tapauksiin ja ehdotetaan jatkotoimenpiteitä.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

Activity-based life cycle costing model for cost estimation and monitoring – Case: manned and autonomous dry bulk carrier

Recent developments in automation, robotics and artificial intelligence have given a push to a wider usage of these technologies in recent years, and nowadays, driverless transport systems are already state-of-the-art on certain legs of transportation. This has given a push for the maritime industry to join the advancement. The case organisation, AAWA initiative, is a joint industry-academia research consortium with the objective of developing readiness for the first commercial autonomous solutions, exploiting state-of-the-art autonomous and remote technology. The initiative develops both autonomous and remote operation technology for navigation, machinery, and all on-board operating systems. The aim of this study is to develop a model with which to estimate and forecast the operational costs, and thus enable comparisons between manned and autonomous cargo vessels. The building process of the model is also described and discussed. Furthermore, the model’s aim is to track and identify the critical success factors of the chosen ship design, and to enable monitoring and tracking of the incurred operational costs as the life cycle of the vessel progresses. The study adopts the constructive research approach, as the aim is to develop a construct to meet the needs of a case organisation. Data has been collected through discussions and meeting with consortium members and researchers, as well as through written and internal communications material. The model itself is built using activity-based life cycle costing, which enables both realistic cost estimation and forecasting, as well as the identification of critical success factors due to the process-orientation adopted from activity-based costing and the statistical nature of Monte Carlo simulation techniques. As the model was able to meet the multiple aims set for it, and the case organisation was satisfied with it, it could be argued that activity-based life cycle costing is the method with which to conduct cost estimation and forecasting in the case of autonomous cargo vessels. The model was able to perform the cost analysis and forecasting, as well as to trace the critical success factors. Later on, it also enabled, albeit hypothetically, monitoring and tracking of the incurred costs. By collecting costs this way, it was argued that the activity-based LCC model is able facilitate learning from and continuous improvement of the autonomous vessel. As with the building process of the model, an individual approach was chosen, while still using the implementation and model building steps presented in existing literature. This was due to two factors: the nature of the model and – perhaps even more importantly – the nature of the case organisation. Furthermore, the loosely organised network structure means that knowing the case organisation and its aims is of great importance when conducting a constructive research.

Capital structure of Finnish firms – Estimating the effects of firm characteristics on capital structure

One of the most disputable matters in the theory of finance has been the theory of capital structure. The seminal contributions of Modigliani and Miller (1958, 1963) gave rise to a multitude of studies and debates. Since the initial spark, the financial literature has offered two competing theories of financing decision: the trade-off theory and the pecking order theory. The trade-off theory suggests that firms have an optimal capital structure balancing the benefits and costs of debt. The pecking order theory approaches the firm capital structure from information asymmetry perspective and assumes a hierarchy of financing, with firms using first internal funds, followed by debt and as a last resort equity. This thesis analyses the trade-off and pecking order theories and their predictions on a panel data consisting 78 Finnish firms listed on the OMX Helsinki stock exchange. Estimations are performed for the period 2003–2012. The data is collected from Datastream system and consists of financial statement data. A number of capital structure characteristics are identified: firm size, profitability, firm growth opportunities, risk, asset tangibility and taxes, speed of adjustment and financial deficit. A regression analysis is used to examine the effects of the firm characteristics on capitals structure. The regression models were formed based on the relevant theories. The general capital structure model is estimated with fixed effects estimator. Additionally, dynamic models play an important role in several areas of corporate finance, but with the combination of fixed effects and lagged dependent variables the model estimation is more complicated. A dynamic partial adjustment model is estimated using Arellano and Bond (1991) first-differencing generalized method of moments, the ordinary least squares and fixed effects estimators. The results for Finnish listed firms show support for the predictions of profitability, firm size and non-debt tax shields. However, no conclusive support for the pecking-order theory is found. However, the effect of pecking order cannot be fully ignored and it is concluded that instead of being substitutes the trade-off and pecking order theory appear to complement each other. For the partial adjustment model the results show that Finnish listed firms adjust towards their target capital structure with a speed of 29% a year using book debt ratio.

Hajautetun työn hyvät käytännöt ja kustannusedut

Hajautetuissa organisaatioissa määräaikainen tai pysyvä joukko ihmisiä työskentelee toisistaan erillään yhteisen tavoitteen saavuttamiseksi käyttäen apunaan tieto- ja viestintäteknologiaa. Tämän työn tavoitteena on tarkastella, minkälaisia hajautetun työn hallinnan hyviä käytäntöjä on olemassa. Lisäksi työn toisena tavoitteena on tutkia, miten hajautetun työn kustannukset eroavat perinteisen työn kustannuksista. Työn kohdeyrityksenä toimii IT-palveluyhtiö, jossa hajautettua työskentelytapaa on hyödynnetty jo jonkin aikaa. Työn teoriaosuudessa on käsitelty hajautetun työn sekä toimintolaskennan periaatteet. Näitä teoriaosuudessa käsiteltyjä asioita on sovellettu työn empiriaosuuden www-kyselyssä, joka liittyy hajautettuun työhön ja hajautetun työn hallinnan hyviin käytäntöihin, sekä kustannusrakennemallissa, jonka avulla hajautetun ja perinteisen työskentelytavan kustannusrakenteet on mallinnettu toimintolaskennan keinoin. Työn kohdeyrityksen työntekijät ovat kokeneet työyhteisönsä jonkin verran hajautuneiksi. Hajautetun työn haasteet ovat näkyneet hajautetun työn etuja enemmän työn kohdeyrityksessä sekä työntekijöiden päivittäisessä työskentelyssä. Työssä käsitellyistä hajautetun työn hallinnan hyvistä käytännöistä yli puolta on hyödynnetty kohdeyrityksessä melko paljon ja muutamaa käytäntöä on hyödynnetty vähemmän. Työssä toteutetun kustannusrakennemallin perusteella voidaan todeta, että hajautetulla työskentelytavalla on mahdollista saavuttaa noin 12 %:n kustannusetu perinteiseen työskentelytapaan verrattuna.

Särmäyksen kustannusperusteinen hinnoittelu

Tässä diplomityössä on tutkittu särmäyksen eri muuttujien vaikutusta kustannusrakenteeseen. Tutkimusmenetelminä on käytetty kirjallisuusselvitystä sekä särmäysaikojen mittausta tuotannossa. Diplomityön tavoitteena oli saada aikaan kustannusperusteinen hinnoittelumalli, jonka avulla särmäyksen hinnoittelu on yksinkertaista ja nopeaa. Särmäysaikoja mitattiin erikokoisille ja -muotoisille kappaleille. Levyn paksuus mitattavilla kappaleilla oli alle 1mm. Muut mitat vaihtelivat alle 200 mm:stä yli 2000 mm:iin. Käytetyt materiaalit olivat sähkö- ja kuumasinkitty teräs. Mitattavia aikoja olivat aika, joka kuluu yhden särmän taivutukseen, aika, joka kuluu yhden kappaleen valmistamiseen sekä ohjelmointiin ja asetuksiin kuluva aika. Särmäysaikoihin vaikuttavat kymmenet eri muuttujat liittyen särmäyspuristimiin, särmättäviin kappaleisiin ja työkaluihin, jne. Osa muuttujista vaikuttaa hyvin vähän kokonaisaikaan, joten kaikkia muuttujia ei lähdetty mittaamaan erikseen. Lisäksi käytössä ollut mittausvälineistö ei ollut riittävän tarkka kaikkien muuttujien mittaamiseen. Aikaansaatu hinnoittelumalli huomioi eri muuttujat ajassa, joka kuluu kappaleiden valmistamiseen, jolloin kaikki muuttujat tulee huomioitua lopullisessa hinnassa.

Practical Framework for Monitoring the Performance of Agile IT Projects in an Output-Based Outsourcing Context

Over the past decade, organizations worldwide have begun to widely adopt agile software development practices, which offer greater flexibility to frequently changing business requirements, better cost effectiveness due to minimization of waste, faster time-to-market, and closer collaboration between business and IT. At the same time, IT services are continuing to be increasingly outsourced to third parties providing the organizations with the ability to focus on their core capabilities as well as to take advantage of better demand scalability, access to specialized skills, and cost benefits. An output-based pricing model, where the customers pay directly for the functionality that was delivered rather than the effort spent, is quickly becoming a new trend in IT outsourcing allowing to transfer the risk away from the customer while at the same time offering much better incentives for the supplier to optimize processes and improve efficiency, and consequently producing a true win-win outcome. Despite the widespread adoption of both agile practices and output-based outsourcing, there is little formal research available on how the two can be effectively combined in practice. Moreover, little practical guidance exists on how companies can measure the performance of their agile projects, which are being delivered in an output-based outsourced environment. This research attempted to shed light on this issue by developing a practical project monitoring framework which may be readily applied by organizations to monitor the performance of agile projects in an output-based outsourcing context, thus taking advantage of the combined benefits of such an arrangement Modified from action research approach, this research was divided into two cycles, each consisting of the Identification, Analysis, Verification, and Conclusion phases. During Cycle 1, a list of six Key Performance Indicators (KPIs) was proposed and accepted by the professionals in the studied multinational organization, which formed the core of the proposed framework and answered the first research sub-question of what needs to be measured. In Cycle 2, a more in-depth analysis was provided for each of the suggested Key Performance Indicators including the techniques for capturing, calculating, and evaluating the information provided by each KPI. In the course of Cycle 2, the second research sub-question was answered, clarifying how the data for each KPI needed to be measured, interpreted, and acted upon. Consequently, after two incremental research cycles, the primary research question was answered describing the practical framework that may be used for monitoring the performance of agile IT projects delivered in an output-based outsourcing context. This framework was evaluated by the professionals within the context of the studied organization and received positive feedback across all four evaluation criteria set forth in this research, including the low overhead of data collection, high value of provided information, ease of understandability of the metric dashboard, and high generalizability of the proposed framework.

Real-time Image-based RGB-D Camera Motion Tracking and Environment Mapping

In this work, image based estimation methods, also known as direct methods, are studied which avoid feature extraction and matching completely. Cost functions use raw pixels as measurements and the goal is to produce precise 3D pose and structure estimates. The cost functions presented minimize the sensor error, because measurements are not transformed or modified. In photometric camera pose estimation, 3D rotation and translation parameters are estimated by minimizing a sequence of image based cost functions, which are non-linear due to perspective projection and lens distortion. In image based structure refinement, on the other hand, 3D structure is refined using a number of additional views and an image based cost metric. Image based estimation methods are particularly useful in conditions where the Lambertian assumption holds, and the 3D points have constant color despite viewing angle. The goal is to improve image based estimation methods, and to produce computationally efficient methods which can be accomodated into real-time applications. The developed image-based 3D pose and structure estimation methods are finally demonstrated in practise in indoor 3D reconstruction use, and in a live augmented reality application.

Value based pricing and marketing of marine engines

Objective of the thesis is to create a value based pricing model for marine engines and study the feasibility of implementing such model in the sales organization of a specific segment in the case company’s marine division. Different pricing strategies, concept of “value”, and how perceptions of value can be influenced through value based marketing are presented as theoretical background for the value based pricing model. Forbis and Mehta’s Economic Value to Customer (EVC) was selected as framework to create the value based pricing model for marine engines. The EVC model is based on calculating and comparing life-cycle costs of the reference product and competing products, thus showing the quantifiable value of the company’s own product compared to competition. In the applied part of the thesis, the components of the EVC model are identified for a marine diesel engine, the components are explained, and an example calculation created in Excel is presented. When examining the possibilities to implement in practice a value based pricing strategy based on the EVC model, it was found that the lack of precise information on competing products is the single biggest obstacle to use EVC exactly as presented in the literature. It was also found that sometimes necessary communication channels are missing and that there is simply a lack of interest from some clients and product end-users part to spend time on studying the life-cycle costs of the product. Information on the company’s own products is however sufficient and the sales force is capable to communicate to sufficiently high executive levels in the client organizations. Therefore it is suggested to focus on quantifying and communicating the company’s own value proposition. The dynamic nature of the business environment (variance in applications in which engines are installed, different clients, competition, end-clients etc.) means also that each project should be created its own EVC calculation. This is demanding in terms of resources needed, thus it is suggested to concentrate on selected projects and buyers, and to clients where the necessary communication channels to right levels in the customer organization are available. Finally, it should be highlighted that as literature suggests, implementing a value based pricing strategy is not possible unless the whole business approach is value based.

Tuotteistettu palvelu toimintolaskentajärjestelmän käyttöönottoon

Diplomityön tavoitteena oli kehittää tuotteistettu palvelu toimintolaskentajärjestelmän käyttöönottoon. Käyttöönotolla tarkoitettiin tässä työssä laskennan käyttöönottoa, eli laskentamallin rakentamista toimintolaskentajärjestelmään. Työ tehtiin Solenovo Oy:n toimeksiannosta ja tutkimusmenetelmänä käytettiin toimintatutkimusta. Työ koostuu teoreettisesta viitekehyksestä ja empiirisestä osuudesta. Työn teoreettinen viitekehys muodostuu kolmesta eri aihepiiriä käsittelevästä luvusta. Ensimmäinen käsittelee toimintolaskentaa ja erityisesti sen vahvuuksia, heikkouksia, käyttöönottoa, sekä eroja ja yhtäläisyyksiä verrattuna perinteiseen kustannuslaskentaan. Seuraavana käsitellään palveluita ja niiden kehittämistä. Palvelun kehittämismenetelmistä käsitellään tähän työhön valittu menetelmä service blueprint, sen rakenne ja kehittäminen. Kolmas teoreettisen viitekehyksen osa-alue on palveluiden tuotteistaminen, mikä tarkentui tässä työssä erityisesti asiantuntijapalveluiden tuotteistamiseen. Työn päätuloksena saavutettiin työn tärkein tavoite, eli kehitettiin tuotteistettu palvelu toimintolaskentajärjestelmän käyttöönottoon. Palvelu kehitettiin service blueprint-menetelmää hyödyntäen ja tuotteistettiin soveltuvilta osin. Koska kyseessä oli täysin uusi palvelu, tuotteistaminen painottui tuotteistamisen suunnitteluun ja sisäiseen tuotteistamiseen. Työn aikana määriteltiin palvelun vaatimukset ja sisältö modulointia hyödyntäen, ohjeistus palvelun toteutusta varten, arvioitiin palvelun eri vaiheisiin sisältyviä riskejä ja haasteita, sekä määriteltiin palvelun jatkokehitystarpeet.

How Cloud Services may Enable SMEs to Overcome International Growth Challenges: Finnish SMEs in the IT Industry

Digitalization and technology megatrends such as Cloud services have provided SMEs with a suitable atmosphere and conditions to internationalize and seek for further business growth. There is a limited amount of research on Cloud services from the business perspective and the limitations and challenges SMEs encounter when pursuing international business growth. Thus, the main research question of this study was how Cloud services may enable Finnish SMEs to overcome international growth challenges. The research question was further divided into three sub-questions dealing with matters related to features and characteristics of Cloud services, limitations and challenges Finnish SMEs experience when pursuing international growth of business, and benefits and advantages of utilizing Cloud services to mitigate and suppress international growth challenges. First, the theoretical framework of this study was constructed based on the existing literature on Cloud services, SMEs, and international growth challenges. After this, qualitative research approach and methodology were applied for this study. The data was collected through six semi-structured expert interviews in person with representatives of IBM, Exidio, Big Data Solutions, and Comptel. After analyzing the collected data by applying thematic analysis method, the results were compared with the existing theory and the original framework was modified and complemented accordingly. Resource scarcity, customer base expansion and retention, and lack of courage to try new things and take risks turned out to be major international growth challenges of Finnish SMEs. Due to a number of benefits and advantages of utilizing Cloud services including service automation, consumption-based pricing model, lack of capital expenditures (capex) and huge upfront investments, lightened organization structure, cost savings, speed, accessibility, scalability, agility, geographical expansion potential, global reaching and covering, credibility, partners, enhanced CRM, freedom, and flexibility, it can be concluded that Cloud services can help directly and indirectly Finnish SMEs to mitigate and overcome international growth challenges and enable further business growth.

Optimizing last mile delivery using public transport with multiagent based control

The majority of research work carried out in the field of Operations-Research uses methods and algorithms to optimize the pick-up and delivery problem. Most studies aim to solve the vehicle routing problem, to accommodate optimum delivery orders, vehicles etc. This paper focuses on green logistics approach, where existing Public Transport infrastructure capability of a city is used for the delivery of small and medium sized packaged goods thus, helping improve the situation of urban congestion and greenhouse gas emissions reduction. It carried out a study to investigate the feasibility of the proposed multi-agent based simulation model, for efficiency of cost, time and energy consumption. Multimodal Dijkstra Shortest Path algorithm and Nested Monte Carlo Search have been employed for a two-phase algorithmic approach used for generation of time based cost matrix. The quality of the tour is dependent on the efficiency of the search algorithm implemented for plan generation and route planning. The results reveal a definite advantage of using Public Transportation over existing delivery approaches in terms of energy efficiency.

Toimintojohtaminen päiväkirurgisessa yksikössä

Työn tavoitteena oli selvittää toimintojohtamisen soveltamisen mahdollisuudet Etelä-Karjalan keskussairaalan päiväkirurgisessa yksikössä. Tavoitteena oli kehittää päiväkirurgisen yksikön toimintolaskentamallia ja selvittää sen avulla toimenpiteiden hinnat. Lisäksi työn tavoitteena oli tutkia toimintolaskentamallin avulla päiväkirurgisen yksikön laajennuksen vaikutuksia toimenpiteiden hintoihin. Tietoa aiheeseen haettiin kirjallisuudesta, lehtiartikkeleista, internetistä ja haastattelujen avulla. Aineiston tulkinnassa ja analyysissa käytettiin taulukkolaskentaohjelmistoa. Toimintolaskentamallia parannettiin kustannusten tarkemman kohdistamisen ja toimenpiteiden luokittelun avulla ja mallista tehtiin helppokäyttöinen, jotta sen hyödyntäminen päätöksenteon apuna olisi mielekästä. Keskeisinä tuloksina saatiin päiväkirurgisessa yksikössä tehtävien toimenpiteiden toimintolaskentahinnat ennen ja jälkeen laajennuksen käyttöönottoa. Toimenpiteiden toimintolaskentahinnat vastaavat todellisia toimenpiteistä aiheutuneita kustannuksia. Laajennuksen toteuduttua toimenpiteiden keskiarvohinnan arvioidaan laskevan 260 ¤. Toimenpiteinä ehdotetaan päiväkirurgisten toimenpiteiden hintojen tarkastelua työpareittain ja lisätutkimuksia implanttien kustannusvaikutuksista sekä toimintolaskentamallin käytännön soveltamista päiväkirurgisessa yksikössä.