Building Successful, Open Repository Software Ecosystems: Technology and Community

Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Extending the Hydra Head to Create a Pluggable, Extensible Architecture: Diving into the Technology of Hydramata

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

A platform for assessing the current state of data repositories in Korea, Japan and China

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Reusing repository technology for Cultural Heritage and Special Collections

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

ORCiD – Membership and implementation at Chalmers University of Technology

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

The impact of long-term brand development strategies on brand value of companies operating in high-technology markets

The objective of the current research is to investigate brand value generation. The study is conducted in the context of high-technology companies. The research aims at finding the impact of long-term brand development strategies, including advertising investments, R&D investments, R&D intensity, new products developed and design. The empirical part of the study incorporated collection of primary and secondary data on 36 companies operating in high-technology sector and being rated as top companies with the most valuable brands by Interbrand consultancy. The data contained information for six consequent years from 2008 to 2013. Obtained data was analyzed using the methods of fixed effect and random effect model (panel data analysis). The analysis showed positive effect of advertising and R&D investments on brand value of high-technology companies in the long run. The impact of remaining three strategies was not approved and further investigation is required.

Bridging the digital divide in developing countries: The role of mobile technology in bridging the digital divide

This thesis investigates how mobile technology usage could help to bring Information and communication technologies (ICT) to the people in developing countries. Some people in developing countries have access to use ICT while other people do not have such opportunity. This digital divide among people is present in many developing countries where computers and the Internet are difficult to access. The Internet provides information that can increase productivity and enable markets to function more efficiently. The Internet reduces information travel time and provides more efficient ways for firms and workers to operate. ICT and the Internet can provide opportunities for economic growth and productivity in developing countries. This indicates that it is very important to bridge the digital divide and increase Internet connections in developing countries. The purpose of this thesis is to investigate how can mobile technology and mobile services help to bridge the digital divide in developing countries. Theoretical background of this thesis consists of a collection of articles and reports. Theoretical material was gathered by going through literature on the digital divide, mobile technology and mobile application development. The empirical research was conducted by sending a questionnaire by email to a selection of application developers located in developing countries. The questionnaire’s purpose was to gather qualitative information concerning mobile application development in developing countries. This thesis main result suggests that mobile phones and mobile technology usage can help to bridge the digital divide in developing countries. This study finds that mobile technology provides one of the best tools that can help to bridge the digital divide in developing countries. Mobile technology can bring affordable ICT to people who do not have access to use computers. Smartphones can provide Internet connection, mobile services and mobile applications to a rapidly growing number of mobile phone users in developing countries. New low-cost smartphones empower people in developing countries to have access to information through the Internet. Mobile technology has the potential to help to bridge the digital divide in developing countries where a vast amount of people own mobile phones.

The time series convergence of dispersion in financial analysts' forecasts

Finansanalytiker har en stor betydelse för finansmarknaderna, speciellt igenom att förmedla information genom resultatprognoser. Typiskt är att analytiker i viss grad är oeniga i sina resultatprognoser, och det är just denna oenighet analytiker emellan som denna avhandling studerar. Då ett företag rapporterar förluster tenderar oenigheten gällande ett företags framtid att öka. På ett intuitivt plan är det lätt att tolka detta som ökad osäkerhet. Det är även detta man finner då man studerar analytikerrapporter - analytiker ser ut att bli mer osäkra då företag börjar gå med förlust, och det är precis då som även oenigheten mellan analytikerna ökar. De matematisk-teoretiska modeller som beskriver analytikers beslutsprocesser har däremot en motsatt konsekvens - en ökad oenighet analytiker emellan kan endast uppkomma ifall analytikerna blir säkrare på ett individuellt plan, där den drivande kraften är asymmetrisk information. Denna avhandling löser motsägelsen mellan ökad säkerhet/osäkerhet som drivkraft bakom spridningen i analytikerprognoser. Genom att beakta mängden publik information som blir tillgänglig via resultatrapporter är det inte möjligt för modellerna för analytikers beslutsprocesser att ge upphov till de nivåer av prognosspridning som kan observeras i data. Slutsatsen blir därmed att de underliggande teoretiska modellerna för prognosspridning är delvis bristande och att spridning i prognoser istället mer troligt följer av en ökad osäkerhet bland analytikerna, i enlighet med vad analytiker de facto nämner i sina rapporter. Resultaten är viktiga eftersom en förståelse av osäkerhet runt t.ex. resultatrapportering bidrar till en allmän förståelse för resultatrapporteringsmiljön som i sin tur är av ytterst stor betydelse för prisbildning på finansmarknader. Vidare används typiskt ökad prognosspridning som en indikation på ökad informationsasymmetri i redovisningsforskning, ett fenomen som denna avhandling därmed ifrågasätter.

Improving the usability of extruded wood-plastic composites by using modification technology

Using cellulosic reinforcement to produce plastic composites is a globally growing trend. One of such materials are wood-plastic composites, which are an extensively studied group of materials for which the global industry is looking for new applications. Issues such as bondability, durability and fire resistance still require development to improve the usability of the wood-plastic composite material. Improvement of the usability of wood-plastic composites is studied in this thesis through the effects of using selected modification technology in wood and plastic industry. The applied modification methods are surface by mechanical abrasion and plasma, chemical impregnation of wood flour, and structural modification by the co-extrusion process. The study shows that the properties of WPC can be influenced by the selected modification methods. The selected methods are also found to be able to result as improvement in the properties of the material. The may also affect other than just the targeted properties of the end-product, either in a positive or a negative manner. Therefore modification as performance improvement should be considered as a caseby- case study. Introducing WPC materials for new applications can be done by using modification technology. Structuralmodification can possibly be used to reduce material costs of the modified WPC material.

Learning information technology business in a changing industry landscape. Introducing Team Entrepreneurship in Renewing Bachelor Education in Renewing Bachelor Education in Information

Speed, uncertainty and complexity are increasing in the business world all the time. When knowledge and skills become quickly irrelevant, new challenges are set for information technology (IT) education. Meta-learning skills – learning how to learn rapidly - and innovation skills have become more essential than single technologies or other specific issues. The drastic changes in the information and communications technology (ICT) sector have caused a need to reconsider how IT Bachelor education in Universities of Applied Sciences should be organized and employed to cope with the change. The objective of the study was to evaluate how a new approach to IT Bachelor education, the ICT entrepreneurship study path (ICT-ESP) fits IT Bachelor education in a Finnish University of Applied Sciences. This kind of educational arrangement has not been employed elsewhere in the context of IT Bachelor education. The study presents the results of a four-year period during which IT Bachelor education was renewed in a Finnish University of Applied Sciences. The learning environment was organized into an ICT-ESP based on Nonaka’s knowledge theory and Kolb’s experiental learning. The IT students who studied in the ICT-ESP established a cooperative and learned ICT by running their cooperative at the University of Applied Sciences. The students (called team entrepreneurs) studied by reading theory in books and other sources of explicit information, doing projects for their customers, and reflecting in training sessions on what was learnt by doing and by studying the literature. Action research was used as the research strategy in this study. Empirical data was collected via theme-based interviews, direct observation, and participative observation. Grounded theory method was utilized in the data analysis and the theoretical sampling was used to guide the data collection. The context of the University of Applied Sciences provided a good basis for fostering team entrepreneurship. However, the results showed that the employment of the ICT-ESP did not fit into the IT Bachelor education well enough. The ICT-ESP was cognitively too tough for the team entrepreneurs because they had two different set of rules to follow in their studies. The conventional courses engaged lot of energy which should have been spent for professional development in the ICT-ESP. The amount of competencies needed in the ICT-ESP for professional development was greater than those needed for any other ways of studying. The team entrepreneurs needed to develop skills in ICT, leadership and self-leadership, team development and entrepreneurship skills. The entrepreneurship skills included skills on marketing and sales, brand development, productization, and business administration. Considering the three-year time the team entrepreneurs spent in the ICT-ESP, the challenges were remarkable. Changes to the organization of IT Bachelor education are also suggested in the study. At first, it should be admitted that the ICT-ESP produces IT Bachelors with a different set of competencies compared to the conventional way of educating IT Bachelors. Secondly, the number of courses on general topics in mathematics, physics, and languages for team entrepreneurs studying in the ICTESP should be reconsidered and the conventional course-based teaching of the topics should be reorganized to support the team coaching process of the team entrepreneurs with their practiceoriented projects. Third, the upcoming team entrepreneurs should be equipped with relevant information about the ICT-ESP and what it would require in practice to study as a team entrepreneur. Finally, the upcoming team entrepreneurs should be carefully selected before they start in the ICT-ESP to have a possibility to eliminate solo players and those who have a too romantic view of being a team entrepreneur. The results gained in the study provided answers to the original research questions and the objectives of the study were met. Even though the IT degree programme was terminated during the research process, the amount of qualitative data gathered made it possible to justify the interpretations done.

Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models

This thesis is concerned with the state and parameter estimation in state space models. The estimation of states and parameters is an important task when mathematical modeling is applied to many different application areas such as the global positioning systems, target tracking, navigation, brain imaging, spread of infectious diseases, biological processes, telecommunications, audio signal processing, stochastic optimal control, machine learning, and physical systems. In Bayesian settings, the estimation of states or parameters amounts to computation of the posterior probability density function. Except for a very restricted number of models, it is impossible to compute this density function in a closed form. Hence, we need approximation methods. A state estimation problem involves estimating the states (latent variables) that are not directly observed in the output of the system. In this thesis, we use the Kalman filter, extended Kalman filter, Gauss–Hermite filters, and particle filters to estimate the states based on available measurements. Among these filters, particle filters are numerical methods for approximating the filtering distributions of non-linear non-Gaussian state space models via Monte Carlo. The performance of a particle filter heavily depends on the chosen importance distribution. For instance, inappropriate choice of the importance distribution can lead to the failure of convergence of the particle filter algorithm. In this thesis, we analyze the theoretical Lᵖ particle filter convergence with general importance distributions, where p ≥2 is an integer. A parameter estimation problem is considered with inferring the model parameters from measurements. For high-dimensional complex models, estimation of parameters can be done by Markov chain Monte Carlo (MCMC) methods. In its operation, the MCMC method requires the unnormalized posterior distribution of the parameters and a proposal distribution. In this thesis, we show how the posterior density function of the parameters of a state space model can be computed by filtering based methods, where the states are integrated out. This type of computation is then applied to estimate parameters of stochastic differential equations. Furthermore, we compute the partial derivatives of the log-posterior density function and use the hybrid Monte Carlo and scaled conjugate gradient methods to infer the parameters of stochastic differential equations. The computational efficiency of MCMC methods is highly depend on the chosen proposal distribution. A commonly used proposal distribution is Gaussian. In this kind of proposal, the covariance matrix must be well tuned. To tune it, adaptive MCMC methods can be used. In this thesis, we propose a new way of updating the covariance matrix using the variational Bayesian adaptive Kalman filter algorithm.

The radio frequency identification technology in the supply chain management: a case of a big logistics company

Nowadays global business trends force the adoption of innovative ICTs into the supply chain management (SCM). Particularly, the RFID technology is on high demand among SCM professionals due to its business advantages such as improving of accuracy and veloc-ity of SCM processes which lead to decrease of operational costs. Nevertheless, a question of the RFID technology impact on the efficiency of warehouse processes in the SCM re-mains open. The goal of the present study is to experiment the possibility of improvement order picking velocity in a warehouse of a big logistics company with the use of the RFID technology. In order to achieve this goal the following objectives have been developed: 1) Defining the scope of the RFID technology applications in the SCM; 2) Justification of the RFID technology impact on the SCM processes; 3) Defining a place of the warehouse order picking process in the SCM; 4) Identification and systematization of existing meth-ods of order picking velocity improvement; 5) Choosing of the study object and gathering of the empirical data about number of orders, number of hours spent per each order line daily during 5 months; 6) Processing and analysis of the empirical data; 7) Conclusion about the impact of the RFID technology on the speed of order picking process. As a result of the research it has been found that the speed of the order picking processes has not been changed as time has gone after the RFID adoption. It has been concluded that in order to achieve a positive effect in the speed of order picking process with the use of the RFID technology it is necessary to simultaneously implement changes in logistics and organizational management in 3PL logistics companies. Practical recommendations have been forwarded to the management of the company for further investigation and procedure.