eWOM communication in social media: A study of its antecedents in higher education context

The aim of this master’s thesis was to examine antecedents of eWOM communication in social media in the higher education context. In order to achieve this goal, eWOM communications of the students’ of international master’s programmes at Lappeenranta University of Technology were studied. The main research question was formulated as follows: What kind of effect do service-, brand-related antecedents, contextual antecedents and moderating factors have on LUT’s international master’s degree students’ eWOM communication in social media regarding their studies? The theory part of the master’s thesis was focused on the discussion of service- and brand related eWOM antecedents, contextual antecedents, as well as moderating relationships between them. The empirical part of the master’s thesis was based on quantitative research method. A web-based survey was carried out among current students of international master’s degree programmes at LUT. Out of 712 e-mail invitations sent, 159 responses were received in total. Thus, response rate was 22%. The results of the study showed that satisfaction, commitment, virtual brand community commitment, need for an advice, positive altruistic concerns, negative altruistic concerns, and attitude towards eWOM communications have an effect on eWOM in higher education context. Several moderating effects on eWOM were determined in the present study as well. On the other hand, it was found that dissatisfaction, loyalty, brand identification, desire to help the organization, need for positive self-enhancement, and social risk perception do not have an effect on eWOM in higher education context.

Tympanometry and Spectral Gradient Acoustic Reflectometry in the Diagnosis of Otitis Media in Young Children

Acute otitis media (AOM) is the most prevalent bacterial infection among children. Tympanometry and spectral gradient acoustic reflectometry (SG-AR) are adjunctive diagnostic tools to pneumatic otoscopy. The aim was to investigate the diagnostic accuracy and success rates of tympanometry and SG-AR performed by physicians and nurses. The study populations comprised 515 (I-II), 281 (III), and 156 (IV) outpatients (6-35 months). Physicians performed 4246 tympanometric (I) and SG-AR (II) examinations. Nurses performed 1782 (III) and 753 (IV) examinations at symptomatic and asymptomatic visits, respectively. Pneumatic otoscopy by the physician was the diagnostic standard. The accuracy of test results by physicians or nurses (I-IV) and the proportion of visits with accurate exclusive test results from both ears (III-IV) were analyzed. Type B tympanogram and SG-AR level 5 (<49˚) predicted middle ear effusion (MEE). At asymptomatic visits, type A and C1 tympanograms (peak pressure > -200 daPa) and SG-AR level 1 (>95˚) indicated healthy middle ear. Negative predictive values of type A and C1 tympanograms by nurses in excluding AOM at symptomatic and MEE at asymptomatic visits were 94% and 95%, respectively. Nurses obtained type A or C1 tympanogram from both ears at 94/459 (20%) and 81/196 (41%) of symptomatic and asymptomatic visits, respectively. SG-AR level 1 was rarely obtained from both ears. Type A and C1 tympanograms were accurate in excluding AOM at symptomatic and MEE at asymptomatic visits. However, nurses obtained these tympanograms from both ears only at one fifth of symptomatic visits and less than half of asymptomatic visits.

De oblectatione et appetitu mentis, de fine in media translato

Invokaatio: D.F.G.

Analyzing and Computing the Sustainability Gains of Building Automation

Smart home implementation in residential buildings promises to optimize energy usage and save significant amount of energy simply due to a better understanding of user's energy usage profile. Apart from the energy optimisation prospects of this technology, it also aims to guarantee occupants significant amount of comfort and remote control over home appliances both at home locations and at remote places. However, smart home investment just like any other kind of investment requires an adequate measurement and justification of the economic gains it could proffer before its realization. These economic gains could differ for different occupants due to their inherent behaviours and tendencies. Thus it is pertinent to investigate the various behaviours and tendencies of occupants in different domain of interests and to measure the value of the energy savings accrued by smart home implementations in these domains of interest in order to justify such economic gains. This thesis investigates two domains of interests (the rented apartment and owned apartment) for primarily two behavioural tendencies (Finland and Germany) obtained from observation and corroborated by conducted interviews to measure the payback time and Return on Investment (ROI) of their smart home implementations. Also, similar measures are obtained for identified Australian use case. The research finding reveals that building automation for the Finnish behavioural tendencies seems to proffers a better ROI and payback time for smart home implementations.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

Digital content and making it viral in social media

Tutkimuksen tavoite on selvittää digitaalisen sisällön ominaisuuksia, jotka vaikuttavat ryhtyvätkö kuluttajat jakamaan, tykkäämään ja kommentoimaan sitä sosiaalisessa mediassa. Tällä pyritään auttamaan yrityksiä ymmärtämään paremmin viraalisuutta, jotta he pystyisivät tuottamaan ja julkaisemaan nettisivuillaan ja sosiaalisessa mediassa parempaa sisältöä, jota kuluttajat jakaisivat enemmän. Tutkimus toteutetaan muodostamalla hypoteeseja mahdollisista ominaisuuksista kirjallisuuden perusteella ja testaamalla niitä regressioanalyyseillä empiirisessä osiossa. Tulokset paljastavat yhdeksän piirrettä, jotka lisäävät viraalisuutta: kiinnostavuus, neutraalisuus, yllättävyys, viihdyttävyys, epäkäytännöllisyys, artikkelin ja Facebook julkaisun pituus, eri sisältö taktiikoiden käyttö (erityisesti blogit ja kuvat lisäävät viraalisuutta) sekä kun mielipidevaikuttaja tai kuuluisuus jakaa sisällön.

The Utilization of Chinese Social Media in Internationalization into China: Perspective of a Western Company

The purpose of this qualitative research is to analyze western-based companies’ social media usage in internationalization into China and to identify social media presence’ impact on the internationalization process. Additionally, the benefits and challenges a western company may face while using social media in China will be illustrated. Competitive advantages, knowledge, networks and relations, and costs and risks could be identified as the key antecedents for successful internationalization. A great social media presence could create a competitive advantage for a western company while competitive advantages may be communicated in social media marketing, knowledge and networks can be enhanced and utilized in internationalization via social media two-way communication. The biggest benefit for internationalization resulted from decreased marketing costs due to cost-effectiveness of social media. The results revealed that cost effective brand awareness was the main benefit from the social media usage in internationalization into China. However, companies struggled with the limited resources and despite of understanding the importance of Chinese social media, lacked sufficient resources for the social media operations. Companies should determine clear strategy and goals that they are willing to achieve via social media in internationalization process, and allocate required resources according to the social media strategy. Localization of the social media operations is important in China, and business-to-consumer companies tend to benefit more from the social media presence. Business-to-business companies may increase the brand’s credibility by successful Chinese social media operations.

Esimiesten muuttuvat osaamistarpeet media- ja kustannusalan murroksessa

Organisaatioiden toimintaympäristö on muuttunut ratkaisevasti ja muutos jatkuu. Muutok-sen kiihtyvä nopeus, asioiden epävarmuus ja kompleksisuus aiheuttavat uudenlaisia haas-teita työelämälle, osaamistarpeiden ennakoinnille ja tulevaisuuden suunnittelulle. Esi-miesosaaminen vaikuttaa merkittävästi siihen, miten hyvin organisaatioissa pystytään hyö-dyntämään sen muuta inhimillistä pääomaa ja tämä tutkimus osallistuu keskusteluun siitä, millä tavalla esimiesosaamisen tulisi kehittyä, jotta se pystyy vastaamaan käynnissä ole-vaan yhteiskunnalliseen, sosiaaliseen ja teknologiseen muutokseen. Tutkimuksen tavoit-teena on ennakoida digitaalisen murroksen keskellä olevan media- ja kustannusalan orga-nisaation esimiesosaamisessa tarvittavia muutoksia. Tutkimus on luonteeltaan laadullinen ja primääritutkimusaineisto koostuu kohdeorganisaatiossa esimiesten, toimitusjohtajan ja henkilöstöpäällikön haastatteluista. Tutkimuksen mukaan tulevaisuudessa tarvittavat esimiesosaamiset eivät merkittävästi eroa tämän päivän paradigman mukaisista osaamisista. Monien osaamisten merkitys kuitenkin korostuu. Esimiesten ja muiden työntekijöiden osaamisten nähdään lähestyvän toisiaan ja tulevaisuudessa rajat esimiesten ja tiimiläisten osaamistarpeiden välillä vähenevät entises-tään. Esimiestyössä monet osaamistarpeet, kuten esimerkiksi epävarmuuden sietokyky, kuitenkin korostuvat. Esimiehen merkittävänä tehtävänä nähdään jatkossa entistä vah-vemmin vastuunkantaminen työyhteisössä.

Cloud computing contribution to manufacturing industry

Manufacturing industry has been always facing challenge to improve the production efficiency, product quality, innovation ability and struggling to adopt cost-effective manufacturing system. In recent years cloud computing is emerging as one of the major enablers for the manufacturing industry. Combining the emerged cloud computing and other advanced manufacturing technologies such as Internet of Things, service-oriented architecture (SOA), networked manufacturing (NM) and manufacturing grid (MGrid), with existing manufacturing models and enterprise information technologies, a new paradigm called cloud manufacturing is proposed by the recent literature. This study presents concepts and ideas of cloud computing and cloud manufacturing. The concept, architecture, core enabling technologies, and typical characteristics of cloud manufacturing are discussed, as well as the difference and relationship between cloud computing and cloud manufacturing. The research is based on mixed qualitative and quantitative methods, and a case study. The case is a prototype of cloud manufacturing solution, which is software platform cooperated by ATR Soft Oy and SW Company China office. This study tries to understand the practical impacts and challenges that are derived from cloud manufacturing. The main conclusion of this study is that cloud manufacturing is an approach to achieve the transformation from traditional production-oriented manufacturing to next generation service-oriented manufacturing. Many manufacturing enterprises are already using a form of cloud computing in their existing network infrastructure to increase flexibility of its supply chain, reduce resources consumption, the study finds out the shift from cloud computing to cloud manufacturing is feasible. Meanwhile, the study points out the related theory, methodology and application of cloud manufacturing system are far from maturity, it is still an open field where many new technologies need to be studied.

Flow in porous media of oil-water systems

Fluid flow behaviour in porous media is a conundrum. Therefore, this research is focused on filtration-volumetric characterisation of fractured-carbonate sediments, coupled with their proper simulation. For this reason, at laboratory rock properties such as pore volume, permeability and porosity are measured, later phase permeabilities and oil recovery in function of flow rate are assessed. Furthermore, the rheological properties of three oils are measured and analysed. Finally based on rock and fluid properties, a model using COMSOL Multiphysics is built in order to compare the experimental and simulated results. The rock analyses show linear relation between flow rate and differential pressure, from which phase permeabilities and pressure gradient are determined, eventually the oil recovery under low and high flow rate is established. In addition, the oils reveal thixotropic properties as well as non-Newtonian behaviour described by Bingham model, consequently Carreau viscosity model for the used oil is given. Given these points, the model for oil and water is built in COMSOL Multiphysics, whereupon successfully the reciprocity between experimental and simulated results is analysed and compared. Finally, a two-phase displacement model is elaborated.