Mapping financial stability

The ongoing global financial crisis has demonstrated the importance of a systemwide, or macroprudential, approach to safeguarding financial stability. An essential part of macroprudential oversight concerns the tasks of early identification and assessment of risks and vulnerabilities that eventually may lead to a systemic financial crisis. Thriving tools are crucial as they allow early policy actions to decrease or prevent further build-up of risks or to otherwise enhance the shock absorption capacity of the financial system. In the literature, three types of systemic risk can be identified: i ) build-up of widespread imbalances, ii ) exogenous aggregate shocks, and iii ) contagion. Accordingly, the systemic risks are matched by three categories of analytical methods for decision support: i ) early-warning, ii ) macro stress-testing, and iii ) contagion models. Stimulated by the prolonged global financial crisis, today's toolbox of analytical methods includes a wide range of innovative solutions to the two tasks of risk identification and risk assessment. Yet, the literature lacks a focus on the task of risk communication. This thesis discusses macroprudential oversight from the viewpoint of all three tasks: Within analytical tools for risk identification and risk assessment, the focus concerns a tight integration of means for risk communication. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. The overall task of this thesis is to represent high-dimensional data concerning financial entities on lowdimensional displays. The low-dimensional representations have two subtasks: i ) to function as a display for individual data concerning entities and their time series, and ii ) to use the display as a basis to which additional information can be linked. The final nuance of the task is, however, set by the needs of the domain, data and methods. The following ve questions comprise subsequent steps addressed in the process of this thesis: 1. What are the needs for macroprudential oversight? 2. What form do macroprudential data take? 3. Which data and dimension reduction methods hold most promise for the task? 4. How should the methods be extended and enhanced for the task? 5. How should the methods and their extensions be applied to the task? Based upon the Self-Organizing Map (SOM), this thesis not only creates the Self-Organizing Financial Stability Map (SOFSM), but also lays out a general framework for mapping the state of financial stability. This thesis also introduces three extensions to the standard SOM for enhancing the visualization and extraction of information: i ) fuzzifications, ii ) transition probabilities, and iii ) network analysis. Thus, the SOFSM functions as a display for risk identification, on top of which risk assessments can be illustrated. In addition, this thesis puts forward the Self-Organizing Time Map (SOTM) to provide means for visual dynamic clustering, which in the context of macroprudential oversight concerns the identification of cross-sectional changes in risks and vulnerabilities over time. Rather than automated analysis, the aim of visual means for identifying and assessing risks is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence, as well as external risk communication.

Exploring the value creation in service ecosystem context: the case of the information technology sector

This thesis examines customer value creation in a service ecosystem context. The objective of this thesis is to develop a comprehensive view of value creation processes in a service ecosystem context and an understanding on the roles of the stakeholders involved in these processes, focusing on the information technology industry. The novelty of the two central concepts of this thesis, systemic customer value and service ecosystem, as well as the gap in the literature of empirical research on value creation in an ecosystem-level, opened an interesting research topic. The empirical study is conducted as a single case analysis, utilizing Group Decision Support System (GDSS) and also Analytic Hierarchy Process (AHP). The findings suggest that customer value is created by a complex combination of interactions among different actors of the ecosystem. Thus, value is not created by a single offering directed to the customer, but by an integration of services from different parts of the ecosystem as well as the active participation of customer in this process.

Management of Soft Information in Sales and Operations Planning

With a Sales and Operations Planning (S&OP) process, a company aims to manage the demand and supply by planning and forecasting. The studied company uses an integrated S&OP process to improve the company's operations. The aim of this thesis is to develop this business process by finding the best possible way to manage the soft information in S&OP, whilst also understanding the importance and types (assumptions, risks and opportunities) of soft information in S&OP. The soft information in S&OP helps to refine future S&OP planning, taking into account the uncertainties that affect the balance of the long-term demand and supply (typically 12-18 months). The literature review was used to create a framework for soft information management process in S&OP. There were not found a concrete way how to manage soft information in the existing literature. In consequence of the poor literature available the Knowledge Management literature was used as the base for the framework creation, which was seen in the very same type of information management like the soft information management is. The framework created a four-stage process to manage soft information in S&OP that included also the required support systems. First phase is collecting and acquiring soft information in S&OP, which include also categorization. The categorization was the cornerstone to identify different requirements that needs to be taken into consideration when managing soft information in S&OP process. The next phase focus on storing data, which purpose is to ensure the soft information is managed in a common system (support system) in a way that the following phase makes it available to users in S&OP who need by help of sharing and applications process. The last phase target is to use the soft information to understand assumptions and thoughts of users behind the numbers in S&OP plans. With this soft management process the support system will have a key role. The support system, like S&OP tool, ensures that soft information is stored in the right places, kept up-to-date and relevancy. The soft information management process in S&OP strives to improve the relevant soft information documenting behind the S&OP plans into the S&OP support system. The process offers an opportunity to individuals to review, comment and evaluate soft information in S&OP made by their own or others. In the case company it was noticed that without a properly documented and distributed soft information in S&OP it was seen to cause mistrust towards the planning.

Tietokoneavusteisten tilintarkastuksen tukijärjestelmien käyttö tilintarkastuksen riskienhallinnassa

Suuryritysten skandaalit ovat herättäneet huolenaiheita organisaatioiden tilintarkas-tuksen hallintajärjestelmistä. Tietokonepohjainen tilintarkastuksen tukijärjestelmä voi auttaa tilintarkastajaa suorittamaan valvontaa ja varmistuskokeita, tilinpäätöstietojen analysointia ja tarkistusta sekä jatkuvaa seurantaa ja tilintarkastusta. Tilintarkastuk-sen hallintaohjelmiston avulla voidaan tehostaa työnkulkua ja vähentää virheiden riskiä. Tämän tutkielman tavoitteena on tutkia sähköisen tukijärjestelmän käyttöä tilintarkastusprosessissa sekä tilintarkastukseen liittyvien riskien hallinnassa. Tavoit-teena on saada selville, miten sähköistä tukijärjestelmää käytetään hyväksi tilintar-kastusriskien hallitsemisessa osana tilintarkastusprosessia. Tutkimus on toteutettu laadullisena tutkimuksena. Tutkimuksen empiirinen aineisto koostuu neljästä teemahaastattelusta. Kaikki haastateltavat ovat samasta tilintar-kastusyhteisöstä. Teemahaastattelun aiheet on koottu aikaisemmissa tutkimuksissa esiinnousseista teemoista. Tutkielman empiiristen tutkimustulosten mukaan sähköiset järjestelmät ovat vaikut-taneet merkittävästi tilintarkastajan työhön. Järjestelmätarkastuksen avulla saadaan tarkastettua tehokkaasti suuria aineistomääriä, ja näin koko tarkastus nopeutuu. Laatuvaatimukset ovat kuitenkin kiristyneet, mikä osaltaan syö tehokkuutta. Järjes-telmätarkastajilla on käytössään monenlaisia sähköisiä tilintarkastuksen järjestel-miä, joilla voidaan hakea ja analysoida dataa asiakkaan järjestelmästä. Tämän jäl-keen tarkastajilla on mahdollisuus käydä läpi analysoitua dataa erilaisten raporttien muodossa. Järjestelmätarkastajien toimesta voidaan käydä läpi asiakkaan koko populaatio. Tämä osaltaan auttaa tilintarkastuksen riskienhallinnassa.