Impacts of different thinning regimes in the yield of uneven-structured Scots pine stands on drained peatland

Abstract

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Structured software development with the IPIDDDT method - A lean method for small agile organizations

A software development process is a predetermined sequence of steps to create a piece of software. A software development process is used, so that an implementing organization could gain significant benefits. The benefits for software development companies, that can be attributed to software process improvement efforts, are improved predictability in the development effort and improved quality software products. The implementation, maintenance, and management of a software process as well as the software process improvement efforts are expensive. Especially the implementation phase is expensive with a best case scenario of a slow return on investment. Software processes are rare in very small software development companies because of the cost of implementation and an improbable return on investment. This study presents a new method to enable benefits that are usually related to software process improvement to small companies with a low cost. The study presents reasons for the development of the method, a description of the method, and an implementation process for the method, as well as a theoretical case study of a method implementation. The study's focus is on describing the method. The theoretical use case is used to illustrate the theory of the method and the implementation process of the method. The study ends with a few conclusions on the method and on the method's implementation process. The main conclusion is that the method requires further study as well as implementation experiments to asses the value of the method.

Experiences in using a structured method in finding and defining new innovations: the strategic options approach

Investment decision-making on far-reaching innovation ideas is one of the key challenges practitioners and academics face in the field of innovation management. However, the management practices and theories strongly rely on evaluation systems that do not fit in well with this setting. These systems and practices normally cannot capture the value of future opportunities under high uncertainty because they ignore the firm’s potential for growth and flexibility. Real options theory and options-based methods have been offered as a solution to facilitate decision-making on highly uncertain investment objects. Much of the uncertainty inherent in these investment objects is attributable to unknown future events. In this setting, real options theory and methods have faced some challenges. First, the theory and its applications have largely been limited to market-priced real assets. Second, the options perspective has not proved as useful as anticipated because the tools it offers are perceived to be too complicated for managerial use. Third, there are challenges related to the type of uncertainty existing real options methods can handle: they are primarily limited to parametric uncertainty. Nevertheless, the theory is considered promising in the context of far-reaching and strategically important innovation ideas. The objective of this dissertation is to clarify the potential of options-based methodology in the identification of innovation opportunities. The constructive research approach gives new insights into the development potential of real options theory under non-parametric and closeto- radical uncertainty. The distinction between real options and strategic options is presented as an explanans for the discovered limitations of the theory. The findings offer managers a new means of assessing future innovation ideas based on the frameworks constructed during the course of the study.

Combining Productivity and Renewal in a Production Organization: a Case Study on Organizational Ambidexterity

This case study examined how productivity and renewal are combined in a production organization operating in process industry through the antecedents of organizational ambidexterity; structure, culture, and management. The empirical material consisted of semi-structured interviews, observations and case organization documents. The findings suggest that the case organization structurally separates exploitation and exploration to separate units. However, it was found that the units focusing on exploration also devote resources to exploitation. External networks, such as customers, suppliers, and other factories seemed to play a role in the exploration activities, as well as in learning activities, which were connected to renewal. Productivity was seen as a natural part of a production organization and pursued at manufacturing units. Process management techniques appeared to be spread across the organization and having positive impact on exploitation and negative impact on exploration. The managerial culture and management’s capability to communicate goals, vision and strategy was found to be unsatisfactory. This thesis contributes to the new research paradigm of organizational ambidexterity by providing unique results on how the antecedents of organizational ambidexterity are accomplished in a production organization. Furthermore, the thesis extends the previous research of organizational renewal capability by connecting it to the ambidexterity theory.

Palkkakirjanpito osana yrityksen talousohjausta- case tutkimus

Tutkielman tarkoituksena oli tutkia palkkakirjanpitoon liittyviä näkökulmia ja niiden vaikutuksia talousohjaukseen sekä tuoda esille kehitysideoita palkkakirjanpitäjien ja controllerien välisen yhteistyön kehittämiseksi. Lähtökohtana tarkasteltiin talousohjauksen ja palkkakirjanpidon yhteistyön nykytilaa ja aiempia tutkimuksia. Tämä tutkimus on empiirinen tapaustutkimus jossa tutkimusmetodina on käytetty kvalitatiivista analyysiä. Tutkimus on toteutettu puolistrukturoituja haastatteluja ja havainnointia apuna käyttäen. Tutkimuksessa nousi esille globalisaation ja yhteiskunnan muutoksen tuo-mat haasteet. Muutosten myötä molempien osapuolten tehtävien muuttu-minen ja erilaisissa palvelukeskuksissa toimiminen on muuttanut toimintaa ja osapuolten rooleja. Tulokset osoittavat että palkkakirjanpitäjien tiedon tuottamista controllereille, voidaan kehittää parhaiten panostamalla tiedon välitykseen, yhteistyönrakentamiseen ja tuottamalla erilaisia raportteja ennusteiden tueksi. Lisäksi on ymmärrettävä taustatekijät ja kasvatettava molempien osapuolten talousohjauksen ja palkkakirjanpidon tuntemusta. Nämä muutokset havainnollistamalla päästään rakentamaan hyvää ja laadukasta tiedon tuottamista, jolloin palkkakirjanpitäjät voivat olla paremmin osana liike-elämän tukemista.

Elinkeinoyhtiön asiakaspalveluprosessien kuvaaminen ja kehittäminen

Diplomityön tavoitteena oli selkeyttää ja yhtenäistää case-yrityksen asiakaspalveluprosesseja kuvaamalla ne ja kehittämällä niitä. Case-yhtiönä oli seudullinen elinkeinoyhtiö, joka tarjoaa asiakkailleen tietointensiivisiä asiantuntija- ja neuvontapalveluita. Diplomityön lopputuloksena oli tarkoitus luoda yhtenäiset asiakaspalveluprosessimallit case-yritykselle. Tutkimuksessa vastattiin kirjallisuuskatsauksen avulla kysymyksiin, kuinka asiakaspalveluprosesseja voidaan kehittää ja millä menetelmillä prosesseja voidaan kuvata. Tämän jälkeen tutkittiin, miten case-yritys voi kehittää asiakaspalveluprosessejaan soveltamalla näitä menetelmiä. Selvisi, että palveluprosessin kehittäminen edellyttää käytännössä palvelun tuotteistamista, joka voidaan jakaa kolmeen osa-alueeseen: 1) palvelun määrittäminen ja standardointi, 2) palvelun ja asiantuntijuuden aineellistaminen ja konkretisointi ja 3) prosessien ja metodien systematisointi ja standardisointi. Asiantuntijapalveluja on vaikea tai mahdoton standardoida sellaisenaan, mutta ne voidaan tuotteistaa modulaarisesti. Palveluprosessien systematisoimiseen sopivin työkalu on niiden kuvaaminen service blueprinting -menetelmällä. Tutkimus on laadultaan kvalitatiivinen kuvaileva tapaustutkimus. Tutkimuksen empiirisessä on käytetty aineistonhankintatapoina puolistrukturoitua kyselyä, teemahaastatteluja, osallistuvaa havainnointia ja dokumenttien tutkimista. Näiden aineistojen analysoinnin tuloksena saatiin case-yritykselle kehitettyä yhtenäinen malli yleisestä asiakaspalveluprosessista ja kuvattua keskeisimpien palvelujen asiakaspalveluprosessit service blueprinting -menetelmällä.

Business intelligence viewpoint on managerial decision-making : Ill-structured problems and decision support systems

Vaikka liiketoimintatiedon hallintaa sekä johdon päätöksentekoa on tutkittu laajasti, näiden kahden käsitteen yhteisvaikutuksesta on olemassa hyvin rajallinen määrä tutkimustietoa. Tulevaisuudessa aiheen tärkeys korostuu, sillä olemassa olevan datan määrä kasvaa jatkuvasti. Yritykset tarvitsevat jatkossa yhä enemmän kyvykkyyksiä sekä resursseja, jotta sekä strukturoitua että strukturoimatonta tietoa voidaan hyödyntää lähteestä riippumatta. Nykyiset Business Intelligence -ratkaisut mahdollistavat tehokkaan liiketoimintatiedon hallinnan osana johdon päätöksentekoa. Aiemman kirjallisuuden pohjalta, tutkimuksen empiirinen osuus tunnistaa liiketoimintatiedon hyödyntämiseen liittyviä tekijöitä, jotka joko tukevat tai rajoittavat johdon päätöksentekoprosessia. Tutkimuksen teoreettinen osuus johdattaa lukijan tutkimusaiheeseen kirjallisuuskatsauksen avulla. Keskeisimmät tutkimukseen liittyvät käsitteet, kuten Business Intelligence ja johdon päätöksenteko, esitetään relevantin kirjallisuuden avulla – tämän lisäksi myös dataan liittyvät käsitteet analysoidaan tarkasti. Tutkimuksen empiirinen osuus rakentuu tutkimusteorian pohjalta. Tutkimuksen empiirisessä osuudessa paneudutaan tutkimusteemoihin käytännön esimerkein: kolmen tapaustutkimuksen avulla tutkitaan sekä kuvataan toisistaan irrallisia tapauksia. Jokainen tapaus kuvataan sekä analysoidaan teoriaan perustuvien väitteiden avulla – nämä väitteet ovat perusedellytyksiä menestyksekkäälle liiketoimintatiedon hyödyntämiseen perustuvalle päätöksenteolle. Tapaustutkimusten avulla alkuperäistä tutkimusongelmaa voidaan analysoida tarkasti huomioiden jo olemassa oleva tutkimustieto. Analyysin tulosten avulla myös yksittäisiä rajoitteita sekä mahdollistavia tekijöitä voidaan analysoida. Tulokset osoittavat, että rajoitteilla on vahvasti negatiivinen vaikutus päätöksentekoprosessin onnistumiseen. Toisaalta yritysjohto on tietoinen liiketoimintatiedon hallintaan liittyvistä positiivisista seurauksista, vaikka kaikkia mahdollisuuksia ei olisikaan hyödynnetty. Tutkimuksen merkittävin tulos esittelee viitekehyksen, jonka puitteissa johdon päätöksentekoprosesseja voidaan arvioida sekä analysoida. Despite the fact that the literature on Business Intelligence and managerial decision-making is extensive, relatively little effort has been made to research the relationship between them. This particular field of study has become important since the amount of data in the world is growing every second. Companies require capabilities and resources in order to utilize structured data and unstructured data from internal and external data sources. However, the present Business Intelligence technologies enable managers to utilize data effectively in decision-making. Based on the prior literature, the empirical part of the thesis identifies the enablers and constraints in computer-aided managerial decision-making process. In this thesis, the theoretical part provides a preliminary understanding about the research area through a literature review. The key concepts such as Business Intelligence and managerial decision-making are explored by reviewing the relevant literature. Additionally, different data sources as well as data forms are analyzed in further detail. All key concepts are taken into account when the empirical part is carried out. The empirical part obtains an understanding of the real world situation when it comes to the themes that were covered in the theoretical part. Three selected case companies are analyzed through those statements, which are considered as critical prerequisites for successful computer-aided managerial decision-making. The case study analysis, which is a part of the empirical part, enables the researcher to examine the relationship between Business Intelligence and managerial decision-making. Based on the findings of the case study analysis, the researcher identifies the enablers and constraints through the case study interviews. The findings indicate that the constraints have a highly negative influence on the decision-making process. In addition, the managers are aware of the positive implications that Business Intelligence has for decision-making, but all possibilities are not yet utilized. As a main result of this study, a data-driven framework for managerial decision-making is introduced. This framework can be used when the managerial decision-making processes are evaluated and analyzed.

Networks and partnerships in third party logistics service production

Third party logistics, and third party logistics providers and the services they offer have grown substantially in the last twenty years. Even though there has been extensive research on third party logistics providers, and regular industry reviews within the logistics industry, a closer research in the area of partner selection and network models in the third party logistics industry is missing. The perspective taken in this study was of expanding the network research into logistics service providers as the focal firm in the network. The purpose of the study is to analyze partnerships and networks in the third party logistics industry in order to define how networks are utilized in third party logistics markets, what have been the reasons for the partnerships, and whether there are benefits for the third party logistics provider that can be achieved through building networks and partnerships. The theoretical framework of this study was formed based on common theories in studying networks and partnerships in accordance with models of horizontal and vertical partnerships. The theories applied to the framework and context of this study included the strategic network view and the resource-based view. Applying these two network theories to the position and networks of third party logistics providers in an industrial supply chain, a theoretical model for analyzing the horizontal and vertical partnerships where the TPL provider is in focus was structured. The empirical analysis of TPL partnerships consisted of a qualitative document analysis of 33 partnership examples involving companies present in the Finnish TPL markets. For the research, existing documents providing secondary data on types of partnerships, reasons for the partnerships, and outcomes of the partnerships were searched from available online sources. Findings of the study revealed that third party logistics providers are evident in horizontal and vertical interactions varying in geographical coverage and the depth and nature of the relationship. Partnership decisions were found to be made on resource based reasons, as well as from strategic aspects. The discovered results of the partnerships in this study included cost reduction and effectiveness in the partnerships for improving existing services. In addition in partnerships created for innovative service extension, differentiation, and creation of additional value were discovered to have emerged as results of the cooperation. It can be concluded that benefits and competitive advantage can be created through building partnerships in order to expand service offering and seeking synergies.

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.

Tracing Innovation Practices in Seaports: the Ports of Klaipeda and Stockholm as Case Studies

This study explores variegated means through which ports have become increasingly entangled in the planning logic of neoliberal innovation-driven economy. The research topic belongs to the academic disciplines of economics and human geography. The aim of the thesis is to analyse how the notion of innovation, adopted in a variety of supranational and national port policy documents, is deployed in operational port environment in two different ports of the Baltic Sea Region: the port of Stockholm, Sweden, and the port of Klaipeda, Lithuania. This novel innovation agenda is visible in several topics I examine in the study, that is, port governance, environmental issues, and seaport – port-city interface. The gathered primary source material on port policy documents, strategies, development planning documents and reports is analysed by utilizing the qualitative content analysis research method. Moreover, the empirical part of the case study, that is, tracing innovation practices in mundane port activities is based on collected qualitative semi-structured interviews with port authorities in Klaipeda and Stockholm, researchers and other port experts. I examine the interview material by employing the theoretical reading research method. In my analysis, I have reframed port-related policy development by tracing and identifying the port transformation from “functional terminals” to “engines for growth”. My results show that this novel innovation-oriented rhetoric imprinted in the narrative “engines for growth” is often contested in daily port practices. In other words, my analysis reveals that the port authorities’ and other port actors’ attitudes towards innovations do not necessarily correspond to the new narrative of innovation and do not always “fit” within a framework of neoliberal economic thinking that glorifies the “culture of innovations”. I argue that the ability to develop innovative initiatives in the ports of Klaipeda and Stockholm is strongly predetermined by local conditions, a port’s governance model, the way port actors perceive the importance of innovations per se, demand factors and new regulations.

Collectiveness within startup teams – Leading the way to initiating and managing collective pursuit of opportunities in organizational contexts

While traditional entrepreneurship literature addresses the pursuit of entrepreneurial opportunities to a solo entrepreneur, scholars increasingly agree that new ventures are often founded and operated by entrepreneurial teams as collective efforts especially in hightechnology industries. Researchers also suggest that team ventures are more likely to survive and succeed than ventures founded by the individual entrepreneur although specific challenges might relate to multiple individuals being involved in joint entrepreneurial action. In addition to new ventures, entrepreneurial teams are seen central for organizing work in established organizations since the teams are able to create major product and service innovations that drive organizational success. Acknowledgement of the entrepreneurial teams in various organizational contexts has challenged the notion on the individual entrepreneur. However, considering that entrepreneurial teams represent a collective-level phenomenon that bases on interactions between organizational members, entrepreneurial teams may not have been studied as indepth as could be expected from the point of view of the team-level, rather than the individual or the individuals in the team. Many entrepreneurial team studies adopt the individualized view of entrepreneurship and examine the team members’ aggregate characteristics or the role of a lead entrepreneur. The previous understandings might not offer a comprehensive and indepth enough understanding of collectiveness within entrepreneurial teams and team venture performance that often relates to the team-level issues in particular. In addition, as the collective-level of entrepreneurial teams has been approached in various ways in the existing literatures, the phenomenon has been difficult to understand in research and practice. Hence, there is a need to understand entrepreneurial teams at the collective-level through a systematic and comprehensive perspective. This study takes part in the discussions on entrepreneurial teams. The overall objective of this study is to offer a description and understanding of collectiveness within entrepreneurial teams beyond individual(s). The research questions of the study are: 1) what collectiveness within entrepreneurial teams stands for, what constitutes the basic elements of it, and who are included in it, 2) why, how, and when collectiveness emerges or reinforces within entrepreneurial teams, and 3) why collectiveness within entrepreneurial teams matters and how it could be developed or supported. In order to answer the above questions, this study bases on three approaches, two set of empirical data, two analysis techniques, and conceptual study. The first data set consists of 12 qualitative semi-structured interviews with business school students who are seen as prospective entrepreneurs. The data is approached through a social constructionist perspective and analyzed through discourse analysis. The second data set bases on a qualitative multiplecase study approach that aims at theory elaboration. The main data consists of 14 individual and four group semi-structured thematic interviews with members of core entrepreneurial teams of four team startups in high-technology industries. The secondary data includes publicly available documents. This data set is approached through a critical realist perspective and analyzed through systematic thematic analysis. The study is completed through a conceptual study that aims at building a theoretical model of collective-level entrepreneurship drawing from existing literatures on organizational theory and social-psychology. The theoretical work applies a positivist perspective. This study consists of two parts. The first part includes an overview that introduces the research background, knowledge gaps and objectives, research strategy, and key concepts. It also outlines the existing knowledge of entrepreneurial team literature, presents and justifies the choices of paradigms and methods, summarizes the publications, and synthesizes the findings through answering the above mentioned research questions. The second part consists of five publications that address independent research questions but all enable to answer the research questions set for this study as a whole. The findings of this study suggest a map of relevant concepts and their relationships that help grasp collectiveness within entrepreneurial teams. The analyses conducted in the publications suggest that collectiveness within entrepreneurial teams stands for cognitive and affective structures in-between team members including elements of collective entity, collective idea of business, collective effort, collective attitudes and motivations, and collective feelings. Collectiveness within entrepreneurial teams also stands for specific joint entrepreneurial action components in which the structures are constructed. The action components reflect equality and democracy, and open and direct communication in particular. Collectiveness emerges because it is a powerful tool for overcoming individualized barriers to entrepreneurship and due to collectively oriented desire for, collective value orientation to, demand for, and encouragement to team entrepreneurship. Collectiveness emerges and reinforces in processes of joint creation and realization of entrepreneurial opportunities including joint analysis and planning of the opportunities and strategies, decision-making and realization of the opportunities, and evaluation, feedback, and sanctions of entrepreneurial action. Collectiveness matters because it is relevant for potential future entrepreneurs and because it affects the ways collective ventures are initiated and managed. Collectiveness also matters because it is a versatile, dynamic, and malleable phenomenon and the ideas of it can be applied across organizational contexts that require team work in discovering or creating and realizing new opportunities. This study further discusses how the findings add to the existing knowledge of entrepreneurial team literature and how the ideas can be applied in educational, managerial, and policy contexts.