Sport-based corporate social responsibility in European professional football

In the past few decades, sport has become a major business with remarkable international reach. As part of the commercial sector of sport, professional sport is said to be intrinsically different from other businesses due to its unique characteristics, such as the peculiar economics and the intense loyalty of fans. Simultaneously with the growing business aspect, sport continues to have great social and cultural impacts on our society. Sport has also become an increasingly popular means of attending social problems due to its alleged suitability for such purposes and its popular appeal. A great number of actors in the professional sport industry have long been involved in socially responsible activities, many of which have been sport-related. While Corporate Social Responsibility (CSR) has been extensively studied in general, its role in the professional sport industry has received less attention in the academic research until recently. It has been argued that due to the unique characteristics of professional sport, CSR should also be studied in this particular context. The objective of this study was to contribute to filling the research gap and increase the understanding of CSR in the context of professional sport by examining sport-related CSR realized by professional football clubs in Europe. The theoretical part of this study leaned on previous literature about using sport as a means of attending social issues and the role of CSR in professional sport industry. The empirical part of the study was carried out through web site analyses and interviews. The clubs to be examined were chosen by using purposive sampling technique and taking into consideration the accessibility and suitability of information the clubs could offer. The method used for analyzing the data was qualitative content analysis. The empirical findings were largely in line with the theoretical framework of the study. The sportrelated CSR of the clubs was concentrated on teaching the participants diverse skills and values, improving their health, encouraging social inclusion, supporting disabled people, and promoting overall participation in sport. The clubs also emphasized the importance of local communities as targets of their CSR. CSR had been an integral part of the clubs’ activities from the beginning, but there were remarkable differences between large and small clubs in terms of structured organization and realization of their CSR. Measuring and evaluation of CSR appeared to be a challenge for most clubs regardless of their size and resources. The motives for the clubs to engage in CSR seemed to be related to the clubs’ values or to their stakeholders’ interests. In general, the clubs’ CSR went beyond what the society is likely to expect from them in legal or ethical sense.

“Development work thesis” as a tool for continuing professional education

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Productizing professional marketing services through service blueprinting

The goal of this research is to study how knowledge-intensive business services can be productized by using the service blueprinting tool. As services provide the majority of jobs, GDP and productivity growth in Europe, their continuous development is needed for Europe to retain its global competitiveness. As services are turning more complex, their development becomes more difficult. The theoretical part of this study is based on researching productization in the context of knowledge-intensive business services. The empirical part is carried out as a case study in a KIBS company, and utilizes qualitative interviews and case materials. The final outcome of this study is an updated productization framework, designed for KIBS companies, and recommendations for the case company. As the results of this study indicate, productization expanded with service blueprinting can be a useful tool for KIBS companies to develop their services. The updated productization framework is provided for future reference.

Balancing creativity and risk intelligence in professional knowledge-intensive business services

The main strengths of professional knowledge-intensive business services (P-KIBS) are knowledge and creativity which needs to be fostered, maintained and supported. The process of managing P-KIBS companies deals with financial, operational and strategic risks. That is why it is reasonable to apply risk management techniques and frameworks in this context. A significant challenge hides in choosing reasonable ways of implementing risk management, which will not limit creative ability in organization, and furthermore will contribute to the process. This choice is related to a risk intelligent approach which becomes a justified way of finding the required balance. On a theoretical level the field of managing both creativity and risk intelligence as a balanced process remains understudied in particular within KIBS industry. For instance, there appears to be a wide range of separate models for innovation and risk management, but very little discussion in terms of trying to find the right balance between them. This study aims to shed light on the importance of well-managed combination of these concepts. The research purpose of the present study is to find out how the balance between creativity and risk intelligence can be managed in P-KIBS. The methodological approach utilized in the study is strictly conceptual without empirical aspects. The research purpose can be achieved through answering the following research supporting questions: 1. What are the characteristics and role of creativity as a component of innovation process in a P-KIBS company? 2. What are the characteristics and role of risk intelligence as an approach towards risk management process implementation in a P-KIBS company? 3. How can risk intelligence and creativity be balanced in P-KIBS? The main theoretical contribution of the study conceals in a proposed creativity and risk intelligence stage process framework. It is designed as an algorithm that can be applied on organizational canvas. It consists of several distinct stages specified by actors involved, their roles and implications. Additional stage-wise description provides detailed tasks for each of the enterprise levels, while combining strategies into one. The insights driven from the framework can be utilized by a vast range of specialists from strategists to risk managers, and from innovation managers to entrepreneurs. Any business that is designing and delivering knowledge service can potentially gain valuable thoughts and expand conceptual understanding from the present report. Risk intelligence in the current study is a unique way of emphasizing the role of creativity in professional knowledge-intensive industry and a worthy technique for making profound decisions towards risks.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Automatic recognition of fish from video sequences

The problem of automatic recognition of the fish from the video sequences is discussed in this Master’s Thesis. This is a very urgent issue for many organizations engaged in fish farming in Finland and Russia because the process of automation control and counting of individual species is turning point in the industry. The difficulties and the specific features of the problem have been identified in order to find a solution and propose some recommendations for the components of the automated fish recognition system. Methods such as background subtraction, Kalman filtering and Viola-Jones method were implemented during this work for detection, tracking and estimation of fish parameters. Both the results of the experiments and the choice of the appropriate methods strongly depend on the quality and the type of a video which is used as an input data. Practical experiments have demonstrated that not all methods can produce good results for real data, whereas on synthetic data they operate satisfactorily.

Translating with the Web. Professional translators' information-seeking behaviour in translation with online resources

Tämän tutkielman aiheena on ammattikääntäjien tiedonhaku, kun käytettävissä on ainoastaan verkkolähteitä. Tutkimuksessa on tarkasteltu, mistä ja miten ammattikääntäjät etsivät tietoa internetistä kääntäessään lähtötekstiä englannista suomeen. Lisäksi tutkimuksen tarkoituksena on osoittaa, että tiedonhakutaidot ja lähdekriittisyys ovat käännöskompetensseja, joita tulisi sekä ylläpitää että opettaa osana kääntäjäkoulutusta. Tutkimuksen aineisto kerättiin empiirisesti käyttämällä kolmea metodia. Käännösprosessi ja sen aikana tapahtunut tiedonhaku tallennettiin käyttäen Camtasia-näyttövideointiohjelmaa ja Translog-II -näppäilyntallennusohjelmaa. Lisäksi tutkimukseen osallistuneet kääntäjät täyttivät kaksi kyselyä, joista ensimmäinen sisälsi taustatietokysymyksiä ja toinen itse prosessiin liittyviä retrospektiivisiä kysymyksiä. Kyselyt toteutettiin Webropol-kyselytyökalulla. Aineistoa kerättiin yhteensä viidestä koetilanteesta. Tutkimuksessa tarkasteltiin lähemmin kolmen ammattikääntäjän tiedon-hakutoimintoja erottelemalla käännösprosesseista ne tauot, joiden aikana kääntäjät etsivät tietoa internetistä. Käytettyjen verkkolähteiden osalta tutkimuksessa saatiin vastaavia tuloksia kuin aiemmissakin tutkimuksissa: eniten käytettyjä olivat Google, Wikipedia sekä erilaiset verkkosanakirjat. Tässä tutkimuksessa kuitenkin paljastui, että ammattikääntäjien tiedonhaun toimintamallit vaihtelevat riippuen niin kääntäjän erikoisalasta kuin hänen tiedonhakutaitojensa tasosta. Joutuessaan työskentelemään tutun työympäristönsä ja oman erikoisalansa ulkopuolella turvautuu myös osa ammattikääntäjistä alkeellisimpiin tiedonhakutekniikoihin, joita käännöstieteen opiskelijoiden on havaittu yleisesti käyttävän. Tulokset paljastivat myös, että tiedonhaku voi viedä jopa 70 prosenttia koko käännösprosessiin kuluvasta ajasta riippuen kääntäjän aiemmasta lähtötekstin aihepiiriin liittyvästä tietopohjasta ja tiedonhaun tehokkuudesta. Tutkimuksessa saatujen tulosten pohjalta voidaan sanoa, että myös ammattikääntäjien tulisi kehittää tiedonhakutaitojaan pitääkseen käännösprosessinsa tehokkaana. Lisäksi kääntäjien pitäisi muistaa arvioida kriittisesti käyttämiään tietolähteitä: lähdekritiikki on tarpeen erityisesti verkkolähteitä käytettäessä. Tästä syystä tiedonhakutaitoja ja lähdekriittisyyttä tulisikin opettaa ja harjoitella jo osana kääntäjäkoulutusta. Kääntäjien ei myöskään pidä jättää tiedonhakua pelkkien verkkolähteiden varaan, vaan jatkossakin käyttää hyväkseen niin painettuja tietolähteitä kuin myös henkilölähteitä.

Recognition of nucleic acids by metal ion complexes

Metal-ion-mediated base-pairing of nucleic acids has attracted considerable attention during the past decade, since it offers means to expand the genetic code by artificial base-pairs, to create predesigned molecular architecture by metal-ion-mediated inter- or intra-strand cross-links, or to convert double stranded DNA to a nano-scale wire. Such applications largely depend on the presence of a modified nucleobase in both strands engaged in the duplex formation. Hybridization of metal-ion-binding oligonucleotide analogs with natural nucleic acid sequences has received much less attention in spite of obvious applications. While the natural oligonucleotides hybridize with high selectivity, their affinity for complementary sequences is inadequate for a number of applications. In the case of DNA, for example, more than 10 consecutive Watson-Crick base pairs are required for a stable duplex at room temperature, making targeting of sequences shorter than this challenging. For example, many types of cancer exhibit distinctive profiles of oncogenic miRNA, the diagnostics of which is, however, difficult owing to the presence of only short single stranded loop structures. Metallo-oligonucleotides, with their superior affinity towards their natural complements, would offer a way to overcome the low stability of short duplexes. In this study a number of metal-ion-binding surrogate nucleosides were prepared and their interaction with nucleoside 5´-monophosphates (NMPs) has been investigated by 1H NMR spectroscopy. To find metal ion complexes that could discriminate between natural nucleobases upon double helix formation, glycol nucleic acid (GNA) sequences carrying a PdII ion with vacant coordination sites at a predetermined position were synthesized and their affinity to complementary as well as mismatched counterparts quantified by UV-melting measurements.

Value Creation of Professional Services

The aim of this qualitative thesis is to research, how professional services create value, and what are the key factors affecting on this process. A model describing value creation process in professional services will be explained, based on the existing literature and three in depth discussions with professional service representatives. Professional services are such services that are tend to base on problem solving and require high skills and knowledge of a professional. These services often have a consultative or an advisory nature, and they often involve both client and a company in service process. As the service is often delivered in somewhat collaboration so is the value created. The results of this thesis revealed that value is created in collaboration or co-operation in professional services. Therefore, value co-creation, as a concept, is exact to describe the value creation process in professional services. This thesis also revealed that value is co- created in continuous communication between a client and a company and no value or only a little value can be created if there is no effective communication during the professional service process.