Value Creation in Crowd-Business: Developing a Framework for Successful Implementation of Crowdsourcing Initiatives

By recent years the phenomenon called crowdsourcing has been acknowledged as an innovative form of value creation that must be taken seriously. Crowdsourcing can be defined as an act of outsourcing tasks originally performed inside an organization, or assigned externally in form of a business relationship, to an undefinably large, heterogeneous mass of potential actors. This thesis constructs a framework for successful implementation of crowdsourcing initiatives. Firms that rely entirely on their own research and ideas cannot compete with the innovative capacity that crowd-powered firms have. Nowadays, crowdsourcing has become one of the key capabilities of businesses due to its innovative capabilities, in addition to the existing internal resources of the firm. By utilizing crowdsourcing the business gains access to an enormous pool of competence and knowledge. However, various risks remain such as uncertainty of crowd structure and loss of internal know-how. Crowdsourcing Success Framework introduces a step by step model for implementing crowdsourcing into the everyday operations of the business. It starts from the decision to utilize crowdsourcing and continues further into planning, organizing and execution. Finally, this thesis presents the success factors of crowdsourcing initiative.

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

Asiakastyytyväisyys ja suosittelukäyttäytyminen vakuutusalalla

Tutkimuksen tarkoitus on tutkia asiakastyytyväisyyttä ja – tyytymättömyyttä sekä suosittelukäyttäytymistä vakuutusalalla. Tavoitteena on selvittää, mitkä tekijät vaikuttavat asiakaskokemukseen ja, miten asiakastyytyväisyystyytyväisyys tai -tyytymättömyys puolestaan vaikuttaa suosittelukäyttäytymiseen. Suosittelun katsotaan ilmaisevan asiakkaan sitoutumista yritykseen. Viime aikoina suosittelukäyttäytymiseen perustuva tutkimus on yleistynyt, koska yritykset ovat huomanneet suosittelun merkityksen ja sen tuottaman arvon liiketoiminnan kannattavuudelle. Sosiaalisen median lisääntyessä suosittelusta on tullut yhä enemmän osa arkeamme. Tutkimuksen teoriaosuudessa käsitellään palvelua, asiakastyytyväisyyttä ja – tyytymättömyyttä sekä suosittelukäyttäytymistä. Empiirisenä aineistona on primaariaineisto kohdeorganisaation asiakkailta. Tämän tutkimuksen kohdeorganisaatio on LähiTapiola Kaakkois-Suomi. Kysely on lähetetty sähköisesti syys-lokakuussa 2014 yrityksessä asioinneille. Tutkimustulosten mukaan tyytyväiset asiakkaat suosittelevat palvelua todennäköisimmin kuin tyytymättömät. Toisaalta havaittiin myös, että suosittelun todennäköisyyden ollessa korkeampi, asiakkaat antoivat enemmän myös rakentavaa palautetta. Tutkimus antoi suuntaa asioista, jotka ovat olennaisimpia kartoittaessa asiakkaan tyytyväisyyttä tai tyytymättömyyttä ja tietoa myös siitä, missä asioissa yrityksen toiminnassa on vielä kehittämistä. Keskittymällä oleellisiin asioihin, voidaan lisätä asiakkaiden tyytyväisyyttä. Tuloksista voidaan myös arvioida henkilökunnan tietämyksen ja koulutuksen lisäämisen tarvetta.

Spontaneous Focusing on Numerosity in the Development of Early Mathematical Skills

The aim of the present set of longitudinal studies was to explore 3-7-year-old children.s Spontaneous FOcusing on Numerosity (SFON) and its relation to early mathematical development. The specific goals were to capture in method and theory the distinct process by which children focus on numerosity as a part of their activities involving exact number recognition, and individual differences in this process that may be informative in the development of more complex number skills. Over the course of conducting the five studies, fifteen novel tasks were progressively developed for the SFON assessments. In the tasks, confounding effects of insufficient number recognition, verbal comprehension, other procedural skills as well as working memory capacity were aimed to be controlled. Furthermore, how children.s individual differences in SFON are related to their development of number sequence, subitizing-based enumeration, object counting and basic arithmetic skills was explored. The effect of social interaction on SFON was tested. Study I captured the first phase of the 3-year longitudinal study with 39 children. It was investigated whether there were differences in 3-year-old children.s tendency to focus on numerosity, and whether these differences were related to the children.s development of cardinality recognition skills from the age of 3 to 4 years. It was found that the two groups of children formed on the basis of their amount of SFON tendency at the age of 3 years differed in their development of recognising and producing small numbers. The children whose SFON tendency was very predominant developed faster in cardinality related skills from the age of 3 to 4 years than the children whose SFON tendency was not as predominant. Thus, children.s development in cardinality recognition skills is related to their SFON tendency. Studies II and III were conducted to investigate, firstly, children.s individual differences in SFON, and, secondly, whether children.s SFON is related to their counting development. Altogether nine tasks were designed for the assessments of spontaneous and guided focusing on numerosity. The longitudinal data of 39 children in Study II from the age of 3.5 to 6 years showed individual differences in SFON at the ages of 4, 5 and 6 years, as well as stability in children.s SFON across tasks used at different ages. The counting skills were assessed at the ages of 3.5, 5 and 6 years. Path analyses indicated a reciprocal tendency in the relationship between SFON and counting development. In Study III, these results on the individual differences in SFON tendency, the stability of SFON across different tasks and the relationship of SFON and mathematical skills were confirmed by a larger-scale cross-sectional study of 183 on average 6.5-year-old children (range 6;0-7;0 years). The significant amount of unique variance that SFON accounted for number sequence elaboration, object counting and basic arithmetic skills stayed statistically significant (partial correlations varying from .27 to .37) when the effects of non-verbal IQ and verbal comprehension were controlled. In addition, to confirm that the SFON tasks assess SFON tendency independently from enumeration skills, guided focusing tasks were used for children who had failed in SFON tasks. It was explored whether these children were able to proceed in similar tasks to SFON tasks once they were guided to focus on number. The results showed that these children.s poor performance in the SFON tasks was not caused by their deficiency in executing the tasks but on lacking focusing on numerosity. The longitudinal Study IV of 39 children aimed at increasing the knowledge of associations between children.s long-term SFON tendency, subitizing-based enumeration and verbal counting skills. Children were tested twice at the age of 4-5 years on their SFON, and once at the age of 5 on their subitizing-based enumeration, number sequence production, as well as on their skills for counting of objects. Results showed considerable stability in SFON tendency measured at different ages, and that there is a positive direct association between SFON and number sequence production. The association between SFON and object counting skills was significantly mediated by subitizing-based enumeration. These results indicate that the associations between the child.s SFON and sub-skills of verbal counting may differ on the basis of how significant a role understanding the cardinal meanings of number words plays in learning these skills. The specific goal of Study V was to investigate whether it is possible to enhance 3-year old children.s SFON tendency, and thus start children.s deliberate practice in early mathematical skills. Participants were 3-year-old children in Finnish day care. The SFON scores and cardinality-related skills of the experimental group of 17 children were compared to the corresponding results of the 17 children in the control group. The results show an experimental effect on SFON tendency and subsequent development in cardinality-related skills during the 6-month period from pretest to delayed posttest in the children with some initial SFON tendency in the experimental group. Social interaction has an effect on children.s SFON tendency. The results of the five studies assert that within a child.s existing mathematical competence, it is possible to distinguish a separate process, which refers to the child.s tendency to spontaneously focus on numerosity. Moreover, there are significant individual differences in children.s SFON at the age of 3-7 years. Moderate stability was found in this tendency across different tasks assessed both at the same and at different ages. Furthermore, SFON tendency is related to the development of early mathematical skills. Educational implications of the findings emphasise, first, the importance of regarding focusing on numerosity as a separate, essential process in the assessments of young children.s mathematical skills. Second, the substantial individual differences in SFON tendency during the childhood years suggest that uncovering and modeling this kind of mathematically meaningful perceiving of the surroundings and tasks could be an efficient tool for promoting young children.s mathematical development, and thus prevent later failures in learning mathematical skills. It is proposed to consider focusing on numerosity as one potential sub-process of activities involving exact number recognition in future studies.

Organizing for Systemic Innovations – Research on Knowledge, Interaction and Organizational Interdependencies

Systemic innovation has emerged as an important topic due to the interconnected technological and sociotechnical change of our current complex world. This study approaches the phenomenon from an organizing perspective, by analyzing the various actors, collaborative activities and resources available in innovation systems. It presents knowledge production for innovation and discusses the organizational challenges of shared innovation activities from a dynamic perspective. Knowledge, interaction, and organizational interdependencies are seen as the core elements of organizing for systemic innovations. This dissertation is divided into two parts. The first part introduces the focus of the study and the relevant literature and summarizes conclusions. The second part includes seven publications, each reporting on an important aspect of the phenomenon studied. Each of the in-depth single-case studies takes a distinct and complementary systems approach to innovation activities – linking the refining of knowledge to the enabling of organizations to participate in shared innovation processes. These aspects are summarized as theoretical and practical implications for recognizing innovation opportunities and turning ideas into innovations by means of using information and organizing activities in an efficient manner. Through its investigation of the existing literature and empirical case studies, this study makes three main contributions. First, it describes the challenges inherent in utilizing information and transforming it into innovation knowledge. Secondly, it presents the role of interaction and organizational interdependencies in innovation activities from various novel perspectives. Third, it highlights the interconnection between innovations and organizations, and the related path dependency and anticipatory aspects in innovation activities. In general, the thesis adds to our knowledge of how different aspects of systems form innovations through interaction and organizational interdependencies. It highlights the continuous need to redefine information and adjust organizations and networks based on ongoing activities – stressing the emergent, systemic nature of innovation.

Osaamiskartoitus osaamisen mittaamisen välineenä

Yrityksen aineeton pääoma ja etenkin osaaminen on arvokasta, mutta sen mittaaminen on vaikeaa. Osaaminen on ensin tunnistettava, jotta sitä voidaan kehittää. Tässä tutkimuksessa on tarkoitus luoda kaupan alalle osaamiselle lukuarvo, joka voidaan viedä ketjun tuloskorttiin. Tutkimusaineisto koostuu kuvailevasta ja tilastollisesta osasta. Case yrityksenä on Osuuskauppa Hämeenmaan Sale-ketju ja kartoitus kohdentuu päivittäistavarakaupan myyjän osaamistarpeisiin. Tutkimus toteutettiin kvalitatiivisena tutkimuksena, mutta yhteenvedossa on myös kvantitatiivisia piirteitä. Kuvaileva aineisto koostui ryhmähaastattelusta, joka tehtiin lomakkeen suunnitteluvaiheessa haastattelemalla Osuuskauppa Hämeenmaan Sale-ketjun esimiehiä tulevaisuuden osaamistarpeista. Tilastollinen aineisto koostui osaamistarpeiden kartoituksessa käytetystä kyselystä. Tutkimuksessa tulevaisuuden osaamisen tarve eroaa tutkijoiden esittämästä näkemyksestä ja painottuu asenne osaamiseen. Sale-ketjun asenne osaamisissa vahvuuksia ovat: sitoutuminen omaan työhön ja halu oppia. Ammattiosaamiset kuten hyllytys ja kassatyö ovat myös vahvuuksia. 2013 vuoden tutkimuksessa suurimmat kehitystarpeet olivat tilausjärjestelmien hallitsemisessa sekä kilpailuetuosaamisissa. Yksiköiden välissä tarkastelussa löytyi selkeitä eroja, mutta erot eivät olleet riippuvaisia yksikön koosta tai työryhmän keski-iästä. Tutkimuksen tuloksena jokaiselle yksikölle tuotettiin yhteenveto sen hetkisestä osaamisesta, selvittäen vahvuudet ja kehittämisalueet. Näiden pohjalta tehtiin yksiköille kehityssuunnitelmat sekä jokaiselle työntekijälle henkilökohtainen kehityssuunnitelma kehityskeskustelun yhteydessä. Tämän tutkimuksen mukaan osaaminen, työtyytyväisyys ja asiakastyytyväisyys korreloivat keskenään. Yksikössä, jossa on hyvä osaaminen, ovat myös työtyytyväisyys ja asiakaspalvelu kunnossa. Vaikuttava tekijä taustalla on johtaminen. Esimiehet, jotka jakavat vastuuta työryhmässään saavuttivat osaamisessa suurempaa kehitystä kuin ne esimiehet, jotka eivät vastuuta jakaneet. Päivittäistavarakauppa on murroksessa tällä hetkellä ja tulevaisuuden osaamistarpeet ovat muuttuneet jo tämän tutkimuksen aikana. Vuonna 2014 toteutettiin sama kartoitus kuin vuonna 2013 ja voitiin todeta osaamistarpeen muuttuneen. Kustannustietous ja kriisienhallinta ovat työryhmien arkea ja osaamisalueet kuten työssä jaksaminen, ripeys ja muutosvalmius ovat korostuneet vuoden aikana. Henkilöstöjohtamisen luonteessa on myös havaittavissa muutoksia, kauaskantoinen tekeminen on muuttunut ketteräksi ja joustavaksi strategiseksi kumppanuudeksi. Osaamista johdetaan edelleen hyvin perinteisin menetelmin, johtaminen on vain entistä kohdennetumpaa. Tutkimuksessa syntyi kuvaava malli henkilöstöjohtamisen luonteesta sekä kaupanalan osaamistarpeesta 2014.

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.

From statin efficacy to everyday effectiveness: Studying the gap in between.

Statins are indicated for preventing cardiovascular disease events. Patients with diabetes have a risk of major cardiovascular events double the risk of their peers without diabetes. Thus, clinical treatment guidelines recommend statins for the management of diabetic dyslipidemia. The evidence base for statin use in cardiovascular disease derives from the randomized controlled statin trials designed to prove statin efficacy under ideal conditions, among a homogenous study population meeting strict trial eligibility criteria. This thesis was implemented as four pharmacoepidemiological statin studies using register data on realworld statin users. The overall purpose was to evaluate the trends, patterns and effectiveness of statin use in everyday life. More specifically, nationwide secular trends in statin use in Finland were analysed, especially among patient groups which had been underrepresented in the statin trials. Furthermore, the benchmarking statin trials in diabetes, the Heart Protection Study and the Collaborative Atorvastatin Diabetes Study, were evaluated for their representativeness for real-world diabetes care with the emphasis placed on adherence to statin use. The association between good adherence and the incidence of major cardiovascular events in the real-world was further investigated in diabetes. These studies demonstrate that statin initiations increased from 1995 to 2005 in Finland. The increase was most pronounced among those aged at least 75 years and was observed already before the publication of rigorous trial data conducted in elderly subjects. Thus, statins seem to have been initiated in clinical practice also going beyond the strict trial eligibility criteria. Nonetheless, low adherence to statin use among the real-world patients with diabetes was found not only to limit the representativeness of the trials for clinical care but also to attenuate in all likelihood their benefits in the real-world. In fact, good adherence to statin use was found to associate with a decreased risk for major cardiovascular events in patients with diabetes. In conclusion, these studies highlight the importance of good adherence to statin use in clinical practice in order to obtain the full therapeutic value demonstrated in the statin trials. Simply increasing the number of statin users will not alone suffice in sharing our common resources appropriately.

An examination of factors influencing ERP key-user satisfaction: A qualitative case study

Several companies are trying to improve their operation efficiency by implementing an enterprise resource planning (ERP) system that makes it possible to control the resources of the company in real time. However, the success of the implementation project is not a foregone conclusion; a significant part of these projects end in a failure, one way or another. Therefore it is important to investigate ERP system implementation more closely in order to increase understanding about factors influencing ERP system success and to improve the probability of a successful ERP implementation project. Consequently, this study was initiated because a manufacturing case company wanted to review the success of their ERP implementation project. To be exact, the case company hoped to gain both information about the success of the project and insight for future implementation improvement. This study investigated ERP success specifically by examining factors that influence ERP key-user satisfaction. User satisfaction is one of the most commonly applied indicators of information system success. The research data was mainly collected by conducting theme interviews. The subjects of the interviews were six key-users of the newly implemented ERP system. The interviewees were closely involved in the implementation project. Furthermore, they act as representative users that utilize the new system in everyday business processes. The collected data was analyzed by thematizing. Both data collection and analysis were guided by a theoretical frame of reference. This frame was based on previous research on the subject. The results of the study aligned with the theoretical framework to large extent. The four principal factors influencing key-user satisfaction were change management, contractor service, key-user’s system knowledge and characteristics of the ERP product itself. One of the most significant contributions of the research is that it confirmed the existence of a connection between change management and ERP key-user satisfaction. Furthermore, it discovered two new sub-factors influencing contractor service related key-user satisfaction. In addition, the research findings indicated that in order to improve the current level of key-user satisfaction, the case company should pay special attention to system functionality improvement and enhancement of the key-users’ knowledge. During similar implementation projects in the future, it would be important to assure the success of change management and contractor service related processes.

Liber fostering Open Science and Knowledge Discovery

Presentation of Kristiina Hormia-Poutanen at the 25th Anniversary Conference of The National Repository Library of Finland, Kuopio 22th of May 2015.

Evaluating the Strategic Objectives of Cameroonian Higher Education: An application of the Balanced Scorecard

Contemporary higher education operates in an environment of dwindling and parsimonious resources; the increasing need for accountability and relevance to varying stakeholders with differing expectations. These relatively new trends in higher education have been faced by business organizations which have developed different ways of operating in response. This study outlines one way by which business organizations have addressed similar circumstances to show how the Cameroon higher education (HE) could learn from business organizations to manage strategic objectives. The balanced scorecard (BSC) has been used by business organizations to address similar trends. This study evaluates the strategic objectives of Cameroonian higher education using the balanced scorecard. The system level is used to identify the general strategic objectives and one state university is used to represent the translation and implementation of the objectives at the institution level. The BSC principles used include: operational strategic objectives; organizational alignment to the strategy; making strategy everyone’s everyday job; making strategy continual and; mobilizing the leadership for change. The underlying concepts in these principles are communication, consensus, relevance, and a participatory approach. The study employs data from policy documents, relevant literature, websites and semi-structured interviews. The research approach is qualitative and the analyses are done by making meaning of phenomena in their natural contexts. The results show that there is a general knowledge of the strategic objectives but there is disagreement on the relevance of these objectives to HE and on the type of approaches used in implementing the objectives. It was also found that the relevant stakeholders are known, but not all the respondents agree on the importance of these stakeholders. All stakeholders do not have the same level of influence-the state is the most influential. Reporting is sufficiently done but there are insufficient provisions for feedback from stakeholders. The study concludes that the BSC principles can be applied to the management of strategic objectives in Cameroon HE. For Cameroonian higher education, it is recommended that the focus should be first, on developing tools for strategy before the strategy itself. Even though the need for the BSC is confirmed the context does not seem sufficiently ready to implement the BSC as a strategic management tool. The proposed BSC framework can only be used as a communication tool. The barriers to managing strategic objectives in Cameroon HE are related to the communication, consensus, clarity and relevance. However, the system has prospects for improved management and eventual adoption of the BSC as both a strategic management and communication tool. In line with other BSC applications to higher education, this study concluded that it is more feasible to apply the balanced scorecard to a single higher education institution than to a higher education system. The study makes a contribution to the BSC by showing how its principles can be used in a non-business context. The study also opens up possibilities for future research on the same topic in a different context or the same context with a wider scope (more institutions and respondents); the same study with a deeper focus on the interrelationships between the different strategic objectives (strategy maps). The study could also be extended by including the perspectives of the identified stakeholders who are not directly part of the higher education system but constitute the environment in which higher education operates.

The northern provinces of Sweden and Norway with part I, of Russia / published under the superintendence of the Society for the Diffusion of Useful Knowledge.

[N. 1:4400000].

Effect of the Knowledge Representation Form on the Efficiency of Knowledge Sharing

The goal of this thesis is to estimate the effect of the form of knowledge representation on the efficiency of knowledge sharing. The objectives include the design of an experimental framework which would allow to establish this effect, data collection, and statistical analysis of the collected data. The study follows the experimental quantitative design. The experimental questionnaire features three sample forms of knowledge: text, mind maps, concept maps. In the interview, these forms are presented to an interviewee, afterwards the knowledge sharing time and knowledge sharing quality are measured. According to the statistical analysis of 76 interviews, text performs worse in both knowledge sharing time and quality compared to visualized forms of knowledge representation. However, mind maps and concept maps do not differ in knowledge sharing time and quality, since this difference is not statistically significant. Since visualized structured forms of knowledge perform better than unstructured text in knowledge sharing, it is advised for companies to foster the usage of these forms in knowledge sharing processes inside the company. Aside of performance in knowledge sharing, the visualized structured forms are preferable due the possibility of their usage in the system of ontological knowledge management within an enterprise.

User Experience of Geocaching and Its Application to Tourism and Education

Advances in technology have provided new ways of using entertainment and game technology to foster human interaction. Games and playing with games have always been an important part of people’s everyday lives. Traditionally, human-computer interaction (HCI) research was seen as a psychological cognitive science focused on human factors, with engineering sciences as the computer science part of it. Although cognitive science has made significant progress over the past decade, the influence of people’s emotions on design networks is increasingly important, especially when the primary goal is to challenge and entertain users (Norman 2002). Game developers have explored the key issues in game design and identified that the driving force in the success of games is user experience. User-centered design integrates knowledge of users’ activity practices, needs, and preferences into the design process. Geocaching is a location-based treasure hunt game created by a community of players. Players use GPS (Global Position System) technology to find “treasures” and create their own geocaches; the game can be developed when the players invent caches and used more imagination to creations the caches. This doctoral dissertation explores user experience of geocaching and its applications in tourism and education. Globally, based on the Geocaching.com webpage, geocaching has been played about 180 countries and there are more than 10 million registered geocachers worldwide (Geocaching.com, 25.11.2014). This dissertation develops and presents an interaction model called the GameFlow Experience model that can be used to support the design of treasure hunt applications in tourism and education contexts. The GameFlow Model presents and clarifies various experiences; it provides such experiences in a real-life context, offers desirable design targets to be utilized in service design, and offers a perspective to consider when evaluating the success of adventure game concepts. User-centered game designs have adapted to human factor research in mainstream computing science. For many years, the user-centered design approach has been the most important research field in software development. Research has been focusing on user-centered design in software development such as office programs, but the same ideas and theories that will reflect the needs of a user-centered research are now also being applied to game design (Charles et al. 2005.) For several years, we have seen a growing interest in user experience design. Digital games are experience providers, and game developers need tools to better understand the user experience related to products and services they have created. This thesis aims to present what the user experience is in geocaching and treasure hunt games and how it can be used to develop new concepts for the treasure hunt. Engineers, designers, and researchers should have a clear understanding of what user experience is, what its parts are, and most importantly, how we can influence user satisfaction. In addition, we need to understand how users interact with electronic products and people, and how different elements synergize their experiences. This doctoral dissertation represents pioneering work on the user experience of geocaching and treasure hunt games in the context of tourism and education. The research also provides a model for game developers who are planning treasure hunt concepts.