B2SHARE – Storing and Sharing Research Data

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

Practical Data Curation and Management for Institutional Repositories

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

On advancing business intelligence in the electricity retail market

In recent decades, business intelligence (BI) has gained momentum in real-world practice. At the same time, business intelligence has evolved as an important research subject of Information Systems (IS) within the decision support domain. Today’s growing competitive pressure in business has led to increased needs for real-time analytics, i.e., so called real-time BI or operational BI. This is especially true with respect to the electricity production, transmission, distribution, and retail business since the law of physics determines that electricity as a commodity is nearly impossible to be stored economically, and therefore demand-supply needs to be constantly in balance. The current power sector is subject to complex changes, innovation opportunities, and technical and regulatory constraints. These range from low carbon transition, renewable energy sources (RES) development, market design to new technologies (e.g., smart metering, smart grids, electric vehicles, etc.), and new independent power producers (e.g., commercial buildings or households with rooftop solar panel installments, a.k.a. Distributed Generation). Among them, the ongoing deployment of Advanced Metering Infrastructure (AMI) has profound impacts on the electricity retail market. From the view point of BI research, the AMI is enabling real-time or near real-time analytics in the electricity retail business. Following Design Science Research (DSR) paradigm in the IS field, this research presents four aspects of BI for efficient pricing in a competitive electricity retail market: (i) visual data-mining based descriptive analytics, namely electricity consumption profiling, for pricing decision-making support; (ii) real-time BI enterprise architecture for enhancing management’s capacity on real-time decision-making; (iii) prescriptive analytics through agent-based modeling for price-responsive demand simulation; (iv) visual data-mining application for electricity distribution benchmarking. Even though this study is from the perspective of the European electricity industry, particularly focused on Finland and Estonia, the BI approaches investigated can: (i) provide managerial implications to support the utility’s pricing decision-making; (ii) add empirical knowledge to the landscape of BI research; (iii) be transferred to a wide body of practice in the power sector and BI research community.

Understanding Online Game Players' Post-adoption Behavior: an Investigation of Social Network Games in China

Retaining players and re-attracting switching players has long been a central topic for SNG providers with regard to the post-adoption stage of playing an online game. However, there has not been much research which has explored players’ post-adoption behavior by incorporating the continuance intention and the switching intention. In addition, traditional IS continuance theories were mainly developed to investigate users’ continued use of utilitarian IS, and thus they may fall short when trying to explain the continued use of hedonic IS. Furthermore, compared to the richer literature on IS continuance, far too little attention has been paid to IS switching, leading to a dearth of knowledge on the subject, despite the increased incidence of the switching phenomenon in the IS field. By addressing the limitations of prior literature, this study seeks to examine the determinants of SNG players’ two different post-adoption behaviors, including the continuance intention and the switching intention. This study takes a positivist approach and uses survey research method to test five proposed research models based on Unified Theory of Acceptance and Use of Technology 2; Use and Gratification Theory; Push-Pull-Mooring model; Cognitive Dissonance Theory; and a self-developed model respectively with empirical data collected from the SNG players of one of the biggest SNG providers in China. A total of 3919 valid responses and 541 valid responses were used to examine the continuance intention and the switching intention, respectively. SEM is utilized as the data analysis method. The proposed research models are supported by the empirical data. The continuance intention is determined by enjoyment, fantasy, escapism, social interaction, social presence, social influence, achievement and habit. The switching intention is determined by enjoyment, satisfaction, subjective norms, descriptive norms, alternative attractiveness, the need for variety, change experience, and adaptation cost. This study contributes to IS theories in three important ways. Firstly, it shows IS switching should be included in IS post-adoption research together with IS continuance. Secondly, a modern IS is usually multi-functional and SNG players have multiple reasons for using a SNG, thus a player’s beliefs about the hedonic, social and utilitarian perceptions of their continued use of the SNG exert significant effects on the continuance intention. Thirdly, the determinants of the switch ing intention mainly exert push, pull, and mooring effects. Players’ beliefs about their current SNG and the available alternatives, as well as their individual characteristics are all significant determinants of the switching intention. SNG players combine these effects in order to formulate the switching intention. Finally, this study presents limitations and suggestions for future research.

Pk-yrityksen innovaatiokyvykkyyden maturiteettimalli

Tämä diplomityö on tehty suorituskyky johtamisen pääaineeseen ja sen tavoitteena on ollut suunnitella ja toteuttaa pieniin ja keskisuuriin yrityksiin soveltuva innovaatiokyvykkyyden maturiteetti- eli kypsyysmalli. Tutkimuksessa käytetään kvalitatiivista eli laadullista lähestymistapaa ja sovelletaan konstruktiivista tutkimusotetta. Tutkimuksen peruskäsitteet ovat innovaatio, innovatiivisuus ja innovaatiokyvykkyys. Innovaatio-käsite voidaan ymmärtää eräänlaiseksi synonyymiksi uutuudelle. Kattavin määritelmä innovaatiolle on ymmärtää se yksittäisen tapahtuman sijasta prosessina. Suorituskyvyn johtamisen näkökulmasta innovatiivisuutta voidaan pitää yhtenä yrityksen sisäisen suorituskyvyn kulmakivenä. Innovaatiokyky on osa yrityksen aineetonta pääomaa sekä organisaation suorituskyvyn ja menestymisen osa-alue ja taustatekijä. Yrityksen koko vaikuttaa sen innovaatiotoimintaan sekä määrällisesti käytettävien resurssien ja tehtävien investointien suuruutena että laadullisesti innovaatiotoiminnan organisoinnissa ja toteutuksessa. Innovaatiokyvykkyyden maturiteettimallin perusajatus on nähdä innovaatiokyvykkyys eteenpäin liikkuvana prosessina, jossa yritys tai organisaatio parantaa omaa asemaansa suhteessa ennalta määrättyihin innovaatiokyvykkyyden tekijöihin. Tutkimuksessa konstruoitu pk-yritysten innovaatiokyvykkyyden maturiteettimalli muodostuu kokonaisuudesta, jossa on kolme tekijää: mittaristo, maturiteettikuvio ja tasoportaat sekä nämä toisiinsa kytkevä innovaatiokyvykkyyden viitekehys. Mallin toimivuutta testattiin heikolla markkinatestillä suomalaisessa tietotekniikka-alan palveluyrityksen tuotekehitysorganisaatiossa. Tuloksien perusteella määritettiin case-organisaation maturiteettitaso. Lisäksi organisaatiosta löydettiin niin kehittämiskohteita kuin vahvuuksiakin.

Mapping cancer, cardiovascular and malaria research in Brazil

This paper presents performance indicators for the Brazilian cancer, cardiovascular and malaria research areas from 1981 to 1995. The data show an increasing number of papers since 1981 and author numbers indicate a continuous growth of the scientific community and suggest an expected impact of scientific activity on biomedical education. The data also characterize cardiovascular research as a well-established area and cancer research as a faster growing consolidating field. The 1989-1994 share of Brazilian articles among world publications shows a growing trend for the cancer (1.61) and cardiovascular (1.59) areas, and a decrease for the malaria area (0.89). The burden of the three diseases on society is contrasted by the small number of consolidated Brazilian research groups, and a questionable balance of thematic activity, especially with regard to malaria. Brazilian periodicals play an important role in increasing the international visibility of science produced in the country. Cancer and cardiovascular research is strongly concentrated in the Southeastern and in Southern regions of Brazil, especially in São Paulo (at least one address from São Paulo in 64.5% of the 962 cancer articles and in 66.9% of the 2250 cardiovascular articles, the second state being Rio de Janeiro with at least one address in 14.1 and 11% of those articles, respectively). Malaria research (468 articles) is more evenly distributed across the country, following the pattern of the endemic distribution of the disease. Surveying these national indicator trends can be useful to establish policies in the decision process about health sciences, medical education and public health.

Nichesourcing the Uralic Languages for the Benefit of Research and Societies

Presentation of Jussi-Pekka Hakkarainen, held at the Emtacl15 conference on the 20th of April 2015 in Trondheim, Norway.

Kartoitus kloori-alkalitehtaan tuotantokapasiteetin kasvattamisesta / Kemira Chemicals Oy Joutseno

Kemira Chemicals Oy:n Joutsenon kloori-alkalitehtaalla valmistetaan elektrolyysin avulla lipeää, suolahappoa, natriumhypokloriittia ja vetyä. Tämän työn tavoitteena on kartoittaa kloori-alkalitehtaan tuotantokapasiteetin kasvatuksen yhteydessä esiin tulevat pullonkaulat, lähitulevaisuuden kunnossapitotarpeet sekä parhaat käytettävissä olevat teknologiavaihtoehdot kloori-alkalitehtaan osa-alueille, joihin tuotantokapasiteetin kasvatuspaineet kohdistuvat: elektrolyysi, lipeän haihdutus ja suolahappopolttimet. Pullonkaulojen kartoittaminen toteutettiin rakentamalla taulukkolaskentamalli kloori-alkalitehtaan prosesseista. Mallin avulla simuloitiin elektrolyysin kloorin tuotantoa, jota kasvatettiin asteittain 54 kt:sta/a aina 100 kt:iin/a asti ja tutkittiin prosessien käyttäytymistä. Tarkastelun pohjalta havaittiin, että kloorin tuotantoa kasvattaessa, tulee lisätä myös tuotantokapasiteettia suolahapon valmistukseen, elektrolyysiin, demineralisoidun veden valmistukseen ja lipeän haihdutuslaitokseen sekä suolahapon ja lipeän varastointikapasiteetteihin. Vaihtoehtoiset teknologiat määritettiin kirjallisuudesta ja laitetoimittajien esitteistä. Lähivuosien kunnossapitotarpeet kartoitettiin haastattelemalla tehtaan henkilökuntaa. Työstä eskaloitui useita jatkotutkimuskohteita, joita ovat bipolaari-teknologian soveltuvuus Joutsenon kloori-alkalitehtaalle, uusien HCl-polttimien esisuunnittelu, höyryn käytön tehostaminen nykyisessä lipeän haihdutuslaitoksessa sekä uusien haihdutusteknologioiden soveltuvuus Joutsenon kloori-alkalitehtaalle, höyry- ja jäähdytysverkostojen kartoitukset sekä demineralisoidun veden valmistuskapasiteetin kasvattaminen.

Informal learning and competence development during a management trainee program

The purpose of this research was to study how management trainee program participants experienced the program with respect to their learning and competence development. Additionally, the purpose was also to examine what the trainees learned and how the learning occurred. Furthermore, factors affecting learning in the workplace were examined. The theoretical framework of this research was formed utilizing individual competence and informal learning frameworks. Research was conducted as a single case study and data was gathered by thematic interviews. The results of this research indicate that the trainees experienced the program as a good method for learning the overall picture of the organization and its business. Regarding competence development, especially knowledge- and cognitive competence categories were developed during the program. The best learning outcomes were achieved through learning by doing, in co-operation with others, and learning from others. The results indicate that the planning of the program and its structure have a significant effect on learning. Furthermore, a sufficient level of challenge was experienced as being important for the quality of the learning as well.

Long-term social recognition memory in adult male rats: factor analysis of the social and non-social behaviors

A modified version of the intruder-resident paradigm was used to investigate if social recognition memory lasts at least 24 h. One hundred and forty-six adult male Wistar rats were used. Independent groups of rats were exposed to an intruder for 0.083, 0.5, 2, 24, or 168 h and tested 24 h after the first encounter with the familiar or a different conspecific. Factor analysis was employed to identify associations between behaviors and treatments. Resident rats exhibited a 24-h social recognition memory, as indicated by a 3- to 5-fold decrease in social behaviors in the second encounter with the same conspecific compared to those observed for a different conspecific, when the duration of the first encounter was 2 h or longer. It was possible to distinguish between two different categories of social behaviors and their expression depended on the duration of the first encounter. Sniffing the anogenital area (49.9% of the social behaviors), sniffing the body (17.9%), sniffing the head (3%), and following the conspecific (3.1%), exhibited mostly by resident rats, characterized social investigation and revealed long-term social recognition memory. However, dominance (23.8%) and mild aggression (2.3%), exhibited by both resident and intruders, characterized social agonistic behaviors and were not affected by memory. Differently, sniffing the environment (76.8% of the non-social behaviors) and rearing (14.3%), both exhibited mostly by adult intruder rats, characterized non-social behaviors. Together, these results show that social recognition memory in rats may last at least 24 h after a 2-h or longer exposure to the conspecific.

Nichesourcing for the benefit of linguistic research and native speakers

The National Library of Finland is implementing the Digitization Project of Kindred Languages in 2012–16. Within the project we will digitize materials in the Uralic languages as well as develop tools to support linguistic research and citizen science. Through this project, researchers will gain access to new corpora 329 and to which all users will have open access regardless of their place of residence. Our objective is to make sure that the new corpora are made available for the open and interactive use of both the academic community and the language societies as a whole. The project seeks to digitize and publish approximately 1200 monograph titles and more than 100 newspapers titles in various Uralic languages. The digitization will be completed by the early of 2015, when the Fenno-Ugrica collection would contain around 200 000 pages of editable text. The researchers cannot spend so much time with the material that they could retrieve a satisfactory amount of edited words, so the participation of a crowd in editing work is needed. Often the targets in crowdsourcing have been split into several microtasks that do not require any special skills from the anonymous people, a faceless crowd. This way of crowdsourcing may produce quantitative results, but from the research’s point of view, there is a danger that the needs of linguistic research are not necessarily met. Also, the number of pages is too high to deal with. The remarkable downside is the lack of shared goal or social affinity. There is no reward in traditional methods of crowdsourcing. Nichesourcing is a specific type of crowdsourcing where tasks are distributed amongst a small crowd of citizen scientists (communities). Although communities provide smaller pools to draw resources, their specific richness in skill is suited for the complex tasks with high-quality product expectations found in nichesourcing. Communities have purpose, identity and their regular interactions engenders social trust and reputation. These communities can correspond to research more precisely. Instead of repetitive and rather trivial tasks, we are trying to utilize the knowledge and skills of citizen scientists to provide qualitative results. Some selection must be made, since we are not aiming to correct all 200,000 pages which we have digitized, but give such assignments to citizen scientists that would precisely fill the gaps in linguistic research. A typical task would editing and collecting the words in such fields of vocabularies, where the researchers do require more information. For instance, there’s a lack of Hill Mari words in anatomy. We have digitized the books in medicine and we could try to track the words related to human organs by assigning the citizen scientists to edit and collect words with OCR editor. From the nichesourcing’s perspective, it is essential that the altruism plays a central role, when the language communities involve. Upon the nichesourcing, our goal is to reach a certain level of interplay, where the language communities would benefit on the results. For instance, the corrected words in Ingrian will be added onto the online dictionary, which is made freely available for the public and the society can benefit too. This objective of interplay can be understood as an aspiration to support the endangered languages and the maintenance of lingual diversity, but also as a servant of “two masters”, the research and the society.

Exploring business models for medical games: Key components and challenges

The costs of health care are going up in many countries. In order to provide affordable and effective health care solutions, new technologies and approaches are constantly being developed. In this research, video games are presented as a possible solution to the problem. Video games are fun, and nowadays most people like to spend time on them. In addition, recent studies have pointed out that video games can have notable health benefits. Health games have already been developed, used in practice, and researched. However, the bulk of health game studies have been concerned with the design or the effectiveness of the games; no actual business studies have been conducted on the subject, even though health games often lack commercial success despite their health benefits. This thesis seeks to fill this gap. The specific aim of this thesis is to develop a conceptual business model framework and empirically use it in explorative medical game business model research. In the first stage of this research, a literature review was conducted and the existing literature analyzed and synthesized into a conceptual business model framework consisting of six dimensions. The motivation behind the synthesis is the ongoing ambiguity around the business model concept. In the second stage, 22 semi-structured interviews were conducted with different professionals within the value network for medical games. The business model framework was present in all stages of the empirical research: First, in the data collection stage, the framework acted as a guiding instrument, focusing the interview process. Then, the interviews were coded and analyzed using the framework as a structure. The results were then reported following the structure of the framework. In the results, the interviewees highlighted several important considerations and issues for medical games concerning the six dimensions of the business model framework. Based on the key findings of this research, several key components of business models for medical games were identified and illustrated in a single figure. Furthermore, five notable challenges for business models for medical games were presented, and possible solutions for the challenges were postulated. Theoretically, these findings provide pioneering information on the untouched subject of business models for medical games. Moreover, the conceptual business model framework and its use in the novel context of medical games provide a contribution to the business model literature. Regarding practice, this thesis further accentuates that medical games can offer notable benefits to several stakeholder groups and offers advice to companies seeking to commercialize these games.

Soymilk plain beverages: correlation between acceptability and physical and chemical characteristics

The objective of the research was to relate the physical and chemical characteristics of soymilk plain beverages to its sensory acceptance. Five commercial products and a new product formulated based on the less accepted sample were used. The overall acceptance was evaluated by 102 assessors using a 10-point hybrid hedonic scale. The hedonic scores ranged from 3.8 (sample E) to 7.0 (A). Most assessors (55%) preferred sample A, which was viscous (26.6 cp), dark (L* = 77.7), and slightly acidic (pH = 6.6). Sample C, which had lower solid content and higher acidity, was preferred by 29% of the assessors. These two beverages showed the greatest commercial potential of the products analyzed. The least-accepted sample (E), preferred by 8% of the assessors, had a lighter color (L* = 96.8), lower viscosity (13.5 cp), higher lipid content (2.2 g/100 g), and less protein (1.68 g/100 g) than the other products evaluated. A reformulation of the least preferred product (E) with the addition of maltodextrin and also vanilla and milk flavors increased its acceptance, yielding an average score of 7.2. Overall, it was observed that a soymilk plain beverage with higher viscosity, darker color, and higher protein content best meets consumer expectations.

Suitability of LiDAR technology for forest inventory in Russia

LiDAR is an advanced remote sensing technology with many applications, including forest inventory. The most common type is ALS (airborne laser scanning). The method is successfully utilized in many developed markets, where it is replacing traditional forest inventory methods. However, it is innovative for Russian market, where traditional field inventory dominates. ArboLiDAR is a forest inventory solution that engages LiDAR, color infrared imagery, GPS ground control plots and field sample plots, developed by Arbonaut Ltd. This study is an industrial market research for LiDAR technology in Russia focused on customer needs. Russian forestry market is very attractive, because of large growing stock volumes. It underwent drastic changes in 2006, but it is still in transitional stage. There are several types of forest inventory, both with public and private funding. Private forestry enterprises basically need forest inventory in two cases – while making coupe demarcation before timber harvesting and as a part of forest management planning, that is supposed to be done every ten years on the whole leased territory. The study covered 14 companies in total that include private forestry companies with timber harvesting activities, private forest inventory providers, state subordinate companies and forestry software developer. The research strategy is multiple case studies with semi-structured interviews as the main data collection technique. The study focuses on North-West Russia, as it is the most developed Russian region in forestry. The research applies the Voice of the Customer (VOC) concept to elicit customer needs of Russian forestry actors and discovers how these needs are met. It studies forest inventory methods currently applied in Russia and proposes the model of method comparison, based on Multi-criteria decision making (MCDM) approach, mainly on Analytical Hierarchy Process (AHP). Required product attributes are classified in accordance with Kano model. The answer about suitability of LiDAR technology is ambiguous, since many details should be taken into account.

Impact of different drying parameters on color, β-carotene, antioxidant activity and minerals of apricot (Prunus armeniacaL.)

Abstract Apricot is one of the fruits dried by using different methods, such as sun, convective or microwave drying. The effects of drying methods on the components of this fruit differ depending upon the temperature or time parameters. In this research, the impacts of convective, microwave and microwave–convective drying techniques on color, β-carotene, minerals and antioxidant activity of apricots were investigated. The color values (L*, b*,ΔEab, h° and C*ab) of dried fruit were decreased, while the a* values increased. Compared with a fresh sample, the dried apricots showed a 1.4-3.9-fold proportional increase in β-carotene based on the increment of dry matter. The samples dried at high temperature and microwave levels, at 75 °C+90 watt and 75 °C+160 watt, showed lower antioxidant activity. Of the different drying treatments, the microwave-convective method (50 °C+160 watt) obtained a higher β-carotene content while maintaining antioxidant activity with a short drying time.