Images of the future of privacy: A privacy dynamics framework and a causal layered

The future of privacy in the information age is a highly debated topic. In particular, new and emerging technologies such as ICTs and cognitive technologies are seen as threats to privacy. This thesis explores images of the future of privacy among non-experts within the time frame from the present until the year 2050. The aims of the study are to conceptualise privacy as a social and dynamic phenomenon, to understand how privacy is conceptualised among citizens and to analyse ideal-typical images of the future of privacy using the causal layered analysis method. The theoretical background of the thesis combines critical futures studies and critical realism, and the empirical material is drawn from three focus group sessions held in spring 2012 as part of the PRACTIS project. From a critical realist perspective, privacy is conceptualised as a social institution which creates and maintains boundaries between normative circles and preserves the social freedom of individuals. Privacy changes when actors with particular interests engage in technology-enabled practices which challenge current privacy norms. The thesis adopts a position of technological realism as opposed to determinism or neutralism. In the empirical part, the focus group participants are divided into four clusters based on differences in privacy conceptions and perceived threats and solutions. The clusters are fundamentalists, pragmatists, individualists and collectivists. Correspondingly, four ideal-typical images of the future are composed: ‘drift to low privacy’, ‘continuity and benign evolution’, ‘privatised privacy and an uncertain future’, and ‘responsible future or moral decline’. The images are analysed using the four layers of causal layered analysis: litany, system, worldview and myth. Each image has its strengths and weaknesses. The individualistic images tend to be fatalistic in character while the collectivistic images are somewhat utopian. In addition, the images have two common weaknesses: lack of recognition of ongoing developments and simplistic conceptions of privacy based on a dichotomy between the individual and society. The thesis argues for a dialectical understanding of futures as present images of the future and as outcomes of real processes and mechanisms. The first steps in promoting desirable futures are the awareness of privacy as a social institution, the awareness of current images of the future, including their assumptions and weaknesses, and an attitude of responsibility where futures are seen as the consequences of present choices.

Cellular signaling with nitric oxide and cyclic GMP

During the past two decades, nitric oxide signaling has been one of the most rapidly growing areas in biology. This simple free radical gas can regulate an ever growing list of biological processes. In most instances nitric oxide mediates its biological effects by activating guanylyl cyclase and increasing cyclic GMP synthesis. However, the identification of effects of nitric oxide that are independent of cyclic GMP is also growing at a rapid rate. The effects of nitric oxide can mediate important physiological regulatory events in cell regulation, cell-cell communication and signaling. Nitric oxide can function as an intracellular messenger, neurotransmitter and hormone. However, as with any messenger molecule, there can be too much or too little of the substance and pathological events ensue. Methods to regulate either nitric oxide formation, metabolism or function have been used therapeutically for more than a century as with nitroglycerin therapy. Current and future research should permit the development of an expanded therapeutic armamentarium for the physician to manage effectively a number of important disorders. These expectations have undoubtedly fueled the vast research interests in this simple molecule.

Between Memory and Strategy: Media Discourse Analysis of an Industrial Shutdown

In 2006 UPM was able to gain a level of social legitimacy that allowed it to carry out one of the largest industrial restructuring programmes in Finnish industrial history, shut down major operations in Finland and still appear to be functioning in the interests of the nation as well as itself. This study considers and examines various contexts of this shutdown with the aim of demonstrating how profoundly mediated such organizational events are though they appear to be produced primarily through strategic company decisions. The study aims to examine the processes of mediation at two levels. At one level, through close analysis of press releases and newspaper reports in local and national newspapers, the study presents a discursive analysis of the Voikkaa case. The discursive analysis focuses on providing historical contexts for understanding why this organizational event was also an occasion for reimagining the past and future of the Finnish nation; spatial contexts for understanding the differing struggles over the meaning of the event nationally and regionally; and the temporal dynamics of the media reports. At another level, the study considers and refines methods for reading and analyzing mediation in organization studies. Bringing together recent research of media text–based legitimation studies, emerging research on organizational memory and organizational death and a Foucaultian analytics of power, this work suggests that organizational research needs to be less concerned with particular typologies and narratives of shutdowns, and more curious about the processes of mediation through which organizational events are imagined and remembered.

Stability Analysis in Multicriteria Discrete Portfolio Optimization.

Almost every problem of design, planning and management in the technical and organizational systems has several conflicting goals or interests. Nowadays, multicriteria decision models represent a rapidly developing area of operation research. While solving practical optimization problems, it is necessary to take into account various kinds of uncertainty due to lack of data, inadequacy of mathematical models to real-time processes, calculation errors, etc. In practice, this uncertainty usually leads to undesirable outcomes where the solutions are very sensitive to any changes in the input parameters. An example is the investment managing. Stability analysis of multicriteria discrete optimization problems investigates how the found solutions behave in response to changes in the initial data (input parameters). This thesis is devoted to the stability analysis in the problem of selecting investment project portfolios, which are optimized by considering different types of risk and efficiency of the investment projects. The stability analysis is carried out in two approaches: qualitative and quantitative. The qualitative approach describes the behavior of solutions in conditions with small perturbations in the initial data. The stability of solutions is defined in terms of existence a neighborhood in the initial data space. Any perturbed problem from this neighborhood has stability with respect to the set of efficient solutions of the initial problem. The other approach in the stability analysis studies quantitative measures such as stability radius. This approach gives information about the limits of perturbations in the input parameters, which do not lead to changes in the set of efficient solutions. In present thesis several results were obtained including attainable bounds for the stability radii of Pareto optimal and lexicographically optimal portfolios of the investment problem with Savage's, Wald's criteria and criteria of extreme optimism. In addition, special classes of the problem when the stability radii are expressed by the formulae were indicated. Investigations were completed using different combinations of Chebyshev's, Manhattan and Hölder's metrics, which allowed monitoring input parameters perturbations differently.

Reporting of Green Supply Chain Management and Industrial Symbiosis

The purpose of this thesis is to examine how the reporting of operations related to green supply chain management and industrial symbiosis has evolved in UPM, Fortum and Kemira within the last ten years. The focus is on the improved operations, which are studied based on annual reports of these companies. The study provides a deeper understanding of the nature of green supply chain management and industrial symbiosis as well as the possibilites that their combination offers. The research is part of the DemaNET research project The study indicates that the environmental regulations and reporting standards have forced the studied companies to report their operations related to green supply chain management and industrial symbiosis more in detail during the last ten years. The operations related to green supply chain management in the studied companies are more common compared to operations related to industrial symbiosis. Often these two operations were also partially integrated, indicating a hybrid model. Even though firms often used hybrid models they still focused mainly on greening the internal operations rather than finding alternative ways for symbiosis outside the organization. The integration of green supply chain management and industrial symbiosis is most likely to occur when mutually beneficial relationships align the interests of all parties, thus resulting in the co-creation of value. The findings suggest that identifying mutual benefits and the flow of by-products are the ones that companies should give more attention to.

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

Thoughts on work-in-progress crowdsourcing metrics of digital collections

The presentation consists of work-in-progress metrics of #digitalkoot, the crowdsourcing project launched by National Library of Finland

Analyzing and Computing the Sustainability Gains of Building Automation

Smart home implementation in residential buildings promises to optimize energy usage and save significant amount of energy simply due to a better understanding of user's energy usage profile. Apart from the energy optimisation prospects of this technology, it also aims to guarantee occupants significant amount of comfort and remote control over home appliances both at home locations and at remote places. However, smart home investment just like any other kind of investment requires an adequate measurement and justification of the economic gains it could proffer before its realization. These economic gains could differ for different occupants due to their inherent behaviours and tendencies. Thus it is pertinent to investigate the various behaviours and tendencies of occupants in different domain of interests and to measure the value of the energy savings accrued by smart home implementations in these domains of interest in order to justify such economic gains. This thesis investigates two domains of interests (the rented apartment and owned apartment) for primarily two behavioural tendencies (Finland and Germany) obtained from observation and corroborated by conducted interviews to measure the payback time and Return on Investment (ROI) of their smart home implementations. Also, similar measures are obtained for identified Australian use case. The research finding reveals that building automation for the Finnish behavioural tendencies seems to proffers a better ROI and payback time for smart home implementations.

Innovation Process and Organizational Adoption of Disruptive Innovation: Empirical Evidence from Finnish Bio-Economy Companies.

The thesis aims to build a coherent view and understanding of the innovation process and organizational technology adoption in Finnish bio-economy companies with a focus on innovations of a disruptive nature. Disruptive innovations are exceptional hence in order to create generalizations and a unified view of the subject the perspective is also on less radical innovations. Other interests of the thesis are how ideas are discovered and generated and how the nature of the innovation and size of the company affect the technology adoption and innovation process. The data was collected by interviewing six small and six large Finnish bio-economy companies. The results suggest companies regardless of size consider innovation as a core asset in the competitive markets. Organizations want to be considered innovators and early adopters yet these qualities are limited by certain, mainly resource-based factors. In addition the industry, scalability and Finland’s geographical location when seeking funding provide certain challenges. The innovation process may be considered relatively similar whether the idea or technology stems from an internal or external source suggesting the technology adoption process can in fact be linked to the innovation process theories. Thus the thesis introduces a new theoretical model which based on the results of the study and the theories of technology adoption and innovation process aims on characterizing how ideas and technology from both external and internal sources generate into innovations. The innovation process is in large bio-economy companies most often similar to or a modified version of the stage-gate model, while small companies generally have less structured processes. Nevertheless the more disruptive the innovation, the less it fits in the structured processes. This implies disruptive innovation cannot be put in a certain mould but it is rather processed case-by-case.

Converter-Fed Induction Motor Losses: Determination With IEC Methods

Energy efficiency is an important topic when considering electric motor drives market. Although more efficient electric motor types are available, the induction motor remains as the most common industrial motor type. IEC methods for determining losses and efficiency of converter-fed induction motors were introduced recently with the release of technical specification IEC/TS 60034-2-3. Determining the induction motor losses with IEC/TS 60034-2-3 method 2-3-A and assessing the practical applicability of the method are the main interests of this study. The method 2-3-A introduces a specific test converter waveform to be used in the measurements. Differences between the induction motor losses with a test converter supply, and with a DTC converter supply are investigated. In the IEC methods, the tests are run at motor rated fundamental voltage, which, in practice, requires the frequency converter to be fed with a risen input voltage. In this study, the tests are run on both frequency converters with artificially risen converter input voltage, resulting in rated motor fundamental input voltage as required by IEC. For comparison, the tests are run with both converters on normal grid input voltage supply, which results in lower motor fundamental voltage and reduced flux level, but should be more relevant from practical point of view. According to IEC method 2-3-A, tests are run at rated motor load, and to ensure comparability of the results, the rated load is used in the grid-fed converter measurements, although motor is overloaded while producing the rated torque at reduced flux level. The IEC 2-3-A method requires also sinusoidal supply test results with IEC method 2-1-1B. Therefore, the induction motor losses with the recently updated IEC 60034-2-1 method 2-1-1B are determined at the motor rated voltage, but also at two lower motor voltages, which are according to the output fundamental voltages of the two network-supplied converters. The method 2-3-A was found to be complex to apply but the results were stable. According to the results, the method 2-3-A and the test converter supply are usable for comparing losses and efficiency of different induction motors at the operating point of rated voltage, rated frequency and rated load, but the measurements do not give any prediction of the motor losses at final application. One might therefore strongly criticize the method’s main principles. It seems, that the release of IEC 60034-2-3 as a technical specification instead of a final standard for now was justified, since the practical relevance of the main method is questionable.

Näkökulmia 3D-tulostuksen opetukseen ja koulutukseen

Additive manufacturing, or 3D printing, is globally one of most interesting area in developing of manufacturing technologies. This technology is suitable for fabrication off industrial products and it interests actors in fields of computer sciences, economics, medical sciences and design&arts. Additive manufacturing is often referred as third industrial revolution: first revolution was invention of steam engines in 18th century and second was industrial revolution started by Henry Ford in 1920s. Companies should be able to test suitability of their products for additive manufacturing and 3D printing but also how much better products could be when products are totally re-designed so that all potential of this new technology can be utilized. This is where education has its importance; new generations who enter working life should be educated to know of additive manufacturing and 3D printing, its advantages but also of it limits. There has to be also possibility to educate industry and people already working there, so that industrial implementation could be done successfully. This is especially very valid for Finland. Education is strongly needed so that Finnish industry can maintain its competence in global markets. Role of education is extremely important when a new technology is industrially implemented. Additive manufacturing and 3D printing offers freedom to design new products, production and generally ways of doing things. Development, planning and execution of education for additive manufacturing and 3D printing is challenging as this area develops very fast. New innovations are coming almost every month. Planning of education for additive manufacturing and 3D printing requires collection pieces of data from various of sources. Additive manufacturing and 3D printing industry and its development has to be followed frequently, and material for additive manufacturing and 3D printing has to be renewed frequently.

Study on creation of an indocalamus leaf flavor

Abstract Flavors represent a small but significant segment of food industry. Sensory characteristics play an important role in the process of consumer acceptance and preference. Indocalamus leaf takes on a pleasant odor and indocalamus leaf flavor can be used in many products. However, indocalamus leaf flavor formula has not been reported. Therefore, developing an indocalamus leaf flavor is of significant interests. Note is a distinct flavor or odor characteristic. This paper concentrates on preparation and creation of indocalamus leaf flavor according to the notes of indocalamus leaf. The notes were obtained by smelling indocalamus leaf, and the results showed that the notes of indocalamus leaf flavor can be classified as: green-leafy note, sweet note, beany note, aldehydic note, waxy note, woody note, roast note, creamy note, and nutty note. According to the notes of indocalamus leaf odor, a typical indocalamus leaf flavor formula was obtained. The indocalamus leaf flavor blended is pleasant, harmonious, and has characteristics of indocalamus leaf odor.

Omistajuuden vaikutus yrityksen toimintaan ja tulokseen

Tämän tutkimuksen tavoitteena oli selvittää miten omistajuus vaikuttaa yrityksen toimintaan ja tulokseen ja syventää näkökulmaa omistajan vaikutuksesta yrityksen menestymiseen. Tutkimus tehtiin kvalitatiivisen ja kvantitatiivisen tutkimusmenetelmän yhdistelmällä, joka mahdollistaa laajemman näkökulman tutkittavaan asiaan ja tuo tutkimukseen luotettavuutta. Omistajan kompetenssilla toimia aktiivisena omistajana sekä hallita erilaisia liiketoimintariske-jä on suuri merkitys. Kestävä menestys, uudistuminen ja yrityksen arvon luominen vaativat niin asiantuntemusta, näkemyksiä, sitoutunutta riskirahoitusta kuin vuorovaikutustaitoja. Omis-tajalla on vaikutusvalta osaavan johdon ja henkilöstön motivaation ylläpysymiseen ja tahtoti-laan toimia yrityksen etujen mukaisesti ja yritykseen sitoutuneena. Ymmärtämällä omistamansa yrityksen kilpailuedut ja hallitsemalla organisatoriset riskit, omis-taja voi vaikuttaa valitsemansa roolin kautta yrityksen menestykseen ja tuottoarvon kasvuun. Tutkimuksen tulokset viittaavat myös siihen, että henkilöstön kokemat positiiviset psykologi-sen ja sosiaalisen omistajuuden tunteet selittävät onnistumisia.

Cleavages in contemporary Finland : a study on party-voter ties

Cleavages have been central in understanding the relationship between political parties and voters but the credibility of cleavage approach has been increasingly debated. This is because of decreasing party loyalty, fewer ideological differences between the parties and general social structural change amongst other factors. By definition, cleavages arise when social structural groups recognize their clashing interests, which are reflected in common values and attitudes, and vote for parties that are dedicated to defend the interests of the groups concerned. This study assesses relevance of cleavage approach in the Finnish context. The research problem in this study is “what kind of a cleavage structure exists in Finland at the beginning of the 21st century? Finland represents a case that has traditionally been characterized by a strong and diverse cleavage structure, notable ideological fragmentation in the electorate and an ideologically diverse party system. Nevertheless, the picture of the party-voter ties in Finland still remains incomplete with regard to a thorough analysis of cleavages. In addition, despite the vast amount of literature on cleavages in political science, studies that thoroughly analyze national cleavage structures by assessing the relationship between social structural position, values and attitudes and party choice have been rare. The research questions are approached by deploying statistical analyses, and using Finnish National Election Studies from 2003, 2007 and 2011as data. In this study, seven different social structural cleavage bases are analyzed: native language, type of residential area, occupational class, education, denomination, gender and age cohorts. Four different value/attitudinal dimensions were identified in this study: economic right and authority, regional and socioeconomic equality, sociocultural and European Union dimensions. This study shows that despite the weak overall effect of social structural positions on values and attitudes, a few rather strong connections between them were identified. The overall impact of social structural position and values and attitudes on party choice varies significantly between parties. Cleavages still exist in Finland and the cleavage structure partly reflects the old basis in the Finnish party system. The cleavage that is based on the type of residential area and reflected in regional and socioeconomic equality dimensions concerns primarily the voters of the Centre Party and the Coalition Party. The linguistic cleavage concerns mostly the voters of the Swedish People’s Party. The classic class cleavage reflected in the regional and socioeconomic equality dimension concerns in turn first and foremost the blue-collar voters of the Left Alliance and the Social Democratic Party, the agricultural entrepreneur voters of the Centre Party and higher professional and manager voters of the Coalition Party. The conflict with the most potential as a cleavage is the one based on social status (occupational class and education) and it is reflected in sociocultural and EU dimensions. It sets the voters of the True Finns against the voters of the Green League and the Coalition Party. The study underlines the challenges the old parties have met after the volatile election in 2011, which shook the cleavage structure. It also describes the complexity involved in the Finnish conflict structure and the multidimensionality in the electoral competition between the parties.