The Contribution of Mobile Device Manufacturers’ Site Usage to Brand Satisfaction and Loyalty

Recently most of the mobile phone manufacturer companies started to pay extra attention to their websites. This research investigates the sources of value creation on the mobile phone manufacturers’ website and the affect visiting the manufacturers’ website has on brand loyalty and brand satisfaction. The results show a correlation between positive website usage experience, brand loyalty and brand satisfaction. Moreover there is a relation between Novelty, Efficiency, Lock-in and the perceived usefulness the manufacturers’ website has on the mobile phone device. And finally the main reason behind Finnish student’s mobile phone brand loyalty is its country of origin.

Esimiehen ydinkompetenssit tuloksen ja työtyytyväisyyden selittäjänä – Case S-market

Työn tarkoituksena on kehittää suorittavalle esimiestasolle työkalu, millä voidaan mitata esimiehen kompetensseja. S-market esimiehen ydinosaamiset työssä jakautuvat kahteen kokonaisuuteen vuorovaikutus- ja ketjuyksikön johtamiseen. Työn tavoitteena on myös tarkastella millä esimiehen ydinosaamisella on merkitystä työtyytyväisyyteen ja yrityksen tulokseen. Tutkimus on kvantitatiivinen ja sen aineisto on verkkokyselylomakkeen avulla kerätystä 129 vastauksesta. Verkkokyselylomakkeen väittämät ovat rakennettu esimiestyön kompetensseista, jotka pohjautuvat tutkielman teoriaan. Verkkokyselyn, työtyytyväisyyden ja tuloksen lukuarvot on analysoitu tilastollisella tulostenkäsittelyohjelmalla, SPSS:llä. Työtyytyväisyystulokset ovat koottu tutkimukseen osallistuneen viidentoista S-marketin työtyytyväisyystutkimuksen tuloksista vuodelta 2008. Tuloksen mittareina tutkielmassa on käytetty samojen S-markettien työtehokkuutta ja toimintakateprosenttia vuodelta 2008. Työn tulokset vahvistivat sen, että esimiestyöllä on suora syy-seuraussuhde työtyytyväisyyteen ja tuloksellisuuteen. Tutkimustuloksien perusteella esimieskäyttämisen vaikutus työtyytyväisyyden kokemiseen on vahva. Hyvällä vuorovaikutusjohtamisella tuloksien perusteella oli vaikutusta työtyytyväisyyteen. Tuloksista kävi ilmi, että työtyytyväisyyteen esimiehen kompetensseista eniten vaikuttivat yksilöllinen huomiointi, tavoitteisiin kannustaminen ja motivointi sekä asiakaslähtöisyys. Tuloksen mittareihin eniten vaikutti tulos- ja tavoitejohtaminen. Tuloksellisuuteen vaikuttavat tutkimuksen mukaan esimiehen jämäkkä ja vaativa tavoitteisiin ohjaava toiminta sekä päätöksenteko ja organisointikyky. Tarkempien ja täsmällisimpien S-market esimiehen kompetenssien löytämiseksi kehitysehdotuksena tutkielmassa on laajemman tutkimusaineiston käsittely neljän faktorin avulla.

Career satisfaction among medical school professors: a case study in Brazil

OBJECTIVE: To investigate the career satisfaction of medical school professors in relation to initial motivation, satisfaction factors, and the desire to remain in the profession. METHODOLOGY: A qualitative methodology was used, based on questionnaires and semi-structured interviews with faculty members at a federal institution of higher education in Brazil. RESULTS: For 42.86% of the sample, teaching began while they were medical students; 80% had chosen teaching either as a vocation or due to influence from families or professors; 20% chose teaching as a professional opportunity. The majority, 57.14%, stated they were happy with teaching, and 51.42% did not plan to leave the career. Factors involved in satisfaction with teaching were: the possibility of remaining up-to-date in the medical profession, the feeling of doing their duty, their contribution to training future doctors, and contact with young people and the university setting. Factors leading to dissatisfaction were pedagogical (33.33%), economic (30.95%), institutional (14.28%), and relational (14.28%). CONCLUSIONS: Subjects expressed a positive attitude towards teaching, and because of their great personal satisfaction with the career, they did not plan to leave it. These findings should shed light on factors that interfere with career satisfaction and help increase those that promote satisfaction, thus improving the productivity and well-being of medical professors.

Medical students' knowledge about end-of-life decision-making

The influence of medical students' knowledge concerning end-of-life care, considering ethical theories and clinical practice, remains controversial. We aimed to investigate medical students' knowledge of bioethical concepts related to moral kinds of death (euthanasia, disthanasia, and orthothanasia) and to analyze the influence of their clinical experience on practicing such approaches in a tertiary hospital in the state of São Paulo, Brazil. We interviewed 180 medical students [distributed in Group 1 (G1) - first to third- year students, and Group 2 (G2) - fourth to sixth-year students] to evaluate the influence of the course on "medical ethics" on ethical theories and clinical practice, using a closed questionnaire. The course on "medical ethics" did not distinguish the groups (P=0.704) in relation to bioethical concepts. Neologisms such as "cacothanasia" and "idiothanasia" were incorrectly viewed as bioethical concepts by 28% of the interviewees. Moreover, 45.3% of the sample considered health care professionals incapable of managing terminally ill patients, especially G2 (29%) as compared to G1 (16.5%, P=0.031). The concept of euthanasia was accepted by 41% of sample, as compared to 98.2% for orthothanasia. Among medical students that accepted ways to abbreviate life (22.9%), 30.1% belonged to G1, and only 16.1% to G2 (P=0.049). These medical students were unfamiliar with common bioethical concepts. Moreover, they considered healthcare professionals incapable of managing terminally ill patients. The ethical ideal of the "good death" reflects better acceptance of orthothanasia by medical students, suggesting a tendency to apply it in their future clinical practice.

Russian market entry decision for an e-business company, the case Ampparit Inc.

The aim of the study was to examine foreign operation methods and suggest the entry mode for the Russian E-business market. Ampparit Inc. was chosen as a case company, as it operates in the e-commerce B2B type of the business by providing Witpik - media monitoring service. The concept of foreign operation method was clarified with a specific focus on Russian market peculiarities and E-business. The main focuses of the present work were to figure out the most applicable entry mode for the Russian market in case of e-business company and factors affecting the decision about entry, including risks, barriers and other aspects.

Communicative and Anticipatory Decision-Making Supported by Bayesian Networks

The purpose of this research is to draw up a clear construction of an anticipatory communicative decision-making process and a successful implementation of a Bayesian application that can be used as an anticipatory communicative decision-making support system. This study is a decision-oriented and constructive research project, and it includes examples of simulated situations. As a basis for further methodological discussion about different approaches to management research, in this research, a decision-oriented approach is used, which is based on mathematics and logic, and it is intended to develop problem solving methods. The approach is theoretical and characteristic of normative management science research. Also, the approach of this study is constructive. An essential part of the constructive approach is to tie the problem to its solution with theoretical knowledge. Firstly, the basic definitions and behaviours of an anticipatory management and managerial communication are provided. These descriptions include discussions of the research environment and formed management processes. These issues define and explain the background to further research. Secondly, it is processed to managerial communication and anticipatory decision-making based on preparation, problem solution, and solution search, which are also related to risk management analysis. After that, a solution to the decision-making support application is formed, using four different Bayesian methods, as follows: the Bayesian network, the influence diagram, the qualitative probabilistic network, and the time critical dynamic network. The purpose of the discussion is not to discuss different theories but to explain the theories which are being implemented. Finally, an application of Bayesian networks to the research problem is presented. The usefulness of the prepared model in examining a problem and the represented results of research is shown. The theoretical contribution includes definitions and a model of anticipatory decision-making. The main theoretical contribution of this study has been to develop a process for anticipatory decision-making that includes management with communication, problem-solving, and the improvement of knowledge. The practical contribution includes a Bayesian Decision Support Model, which is based on Bayesian influenced diagrams. The main contributions of this research are two developed processes, one for anticipatory decision-making, and the other to produce a model of a Bayesian network for anticipatory decision-making. In summary, this research contributes to decision-making support by being one of the few publicly available academic descriptions of the anticipatory decision support system, by representing a Bayesian model that is grounded on firm theoretical discussion, by publishing algorithms suitable for decision-making support, and by defining the idea of anticipatory decision-making for a parallel version. Finally, according to the results of research, an analysis of anticipatory management for planned decision-making is presented, which is based on observation of environment, analysis of weak signals, and alternatives to creative problem solving and communication.

A decision support system for cost determination in grain storage facility operations

Many research works have being carried out on analyzing grain storage facility costs; however a few of them had taken into account the analysis of factors associated to all pre-processing and storage steps. The objective of this work was to develop a decision support system for determining the grain storage facility costs and utilization fees in grain storage facilities. The data of a CONAB storage facility located in Ponta Grossa - PR, Brazil, was used as input of the system developed to analyze its specific characteristics, such as amount of product received and stored throughout the year, hourly capacity of drying, cleaning, and receiving, and dispatch. By applying the decision support system, it was observed that the reception and expedition costs were exponentially reduced as the turnover rate of the storage increased. The cleaning and drying costs increased linearly with grain initial moisture. The storage cost increased exponentially as the occupancy rate of the storage facility decreased.

Business Intelligencen hyödyntäminen autoalan liiketoiminnassa

Tämän pro gradu -tutkielman tavoitteena on selvittää, miten Business Intelligencea voidaan hyödyntää autoalan liiketoiminnassa Suomessa. Työssä tutkitaan erityisesti autoalan tietotarpeita, tietolähteitä, tiedon analysointia sekä tiedon hyödynnettävyyttä liiketoiminnan ohjaamisessa ja päätöksenteossa. Työn tutkimusstrategiana käytettiin tapaustutkimusta, jonka kohderyhmänä oli viisi suomalaista autoalan suuryritystä. Tutkimuksen empiirinen aineisto hankittiin haastattelemalla yritysten Business Intelligence -toiminnoista vastaavia henkilöitä. Tutkimuksen tulosten perusteella Business Intelligence merkitsi yrityksille ensisijaisesti toiminnanohjausta ja sen seurantaa, sekä korkealaatuisen tiedon tuottamista päätöksentekoa varten. Keskeisiksi tietotarpeiksi luokiteltiin asiakkaisiin, ajoneuvoihin, sisäisiin prosesseihin, liiketoimintatapahtumiin, kilpailijoihin, toimialaan ja asiakastyytyväisyyteen liittyvät tiedot. Tutkimuksen tulosten perusteella tiedon hankinnassa tulee huomioida sekä sisäisen liiketoimintatiedon analyyttinen hyödyntäminen että systemaattinen tiedon hankinta myös ulkoisista lähteistä. Yritykset kokivat Business Intelligence -toimintojen parantaneen tiedon laatua, tehostaneen toiminnanohjausta sekä mahdollistaneen yhteneväisen liiketoiminnan johtamisen organisaation eri tasoilla.

Improving Transportation and Warehousing Efficiency with Simulation-Based Decision Support Systems

Transportation and warehousing are large and growing sectors in the society, and their efficiency is of high importance. Transportation also has a large share of global carbondioxide emissions, which are one the leading causes of anthropogenic climate warming. Various countries have agreed to decrease their carbon emissions according to the Kyoto protocol. Transportation is the only sector where emissions have steadily increased since the 1990s, which highlights the importance of transportation efficiency. The efficiency of transportation and warehousing can be improved with the help of simulations, but models alone are not sufficient. This research concentrates on the use of simulations in decision support systems. Three main simulation approaches are used in logistics: discrete-event simulation, systems dynamics, and agent-based modeling. However, individual simulation approaches have weaknesses of their own. Hybridization (combining two or more approaches) can improve the quality of the models, as it allows using a different method to overcome the weakness of one method. It is important to choose the correct approach (or a combination of approaches) when modeling transportation and warehousing issues. If an inappropriate method is chosen (this can occur if the modeler is proficient in only one approach or the model specification is not conducted thoroughly), the simulation model will have an inaccurate structure, which in turn will lead to misleading results. This issue can further escalate, as the decision-maker may assume that the presented simulation model gives the most useful results available, even though the whole model can be based on a poorly chosen structure. In this research it is argued that simulation- based decision support systems need to take various issues into account to make a functioning decision support system. The actual simulation model can be constructed using any (or multiple) approach, it can be combined with different optimization modules, and there needs to be a proper interface between the model and the user. These issues are presented in a framework, which simulation modelers can use when creating decision support systems. In order for decision-makers to fully benefit from the simulations, the user interface needs to clearly separate the model and the user, but at the same time, the user needs to be able to run the appropriate runs in order to analyze the problems correctly. This study recommends that simulation modelers should start to transfer their tacit knowledge to explicit knowledge. This would greatly benefit the whole simulation community and improve the quality of simulation-based decision support systems as well. More studies should also be conducted by using hybrid models and integrating simulations with Graphical Information Systems.

Improving strategic decision-making with simulation based decision support systems

Combating climate change is one of the key tasks of humanity in the 21st century. One of the leading causes is carbon dioxide emissions due to usage of fossil fuels. Renewable energy sources should be used instead of relying on oil, gas, and coal. In Finland a significant amount of energy is produced using wood. The usage of wood chips is expected to increase in the future significantly, over 60 %. The aim of this research is to improve understanding over the costs of wood chip supply chains. This is conducted by utilizing simulation as the main research method. The simulation model utilizes both agent-based modelling and discrete event simulation to imitate the wood chip supply chain. This thesis concentrates on the usage of simulation based decision support systems in strategic decision-making. The simulation model is part of a decision support system, which connects the simulation model to databases but also provides a graphical user interface for the decisionmaker. The main analysis conducted with the decision support system concentrates on comparing a traditional supply chain to a supply chain utilizing specialized containers. According to the analysis, the container supply chain is able to have smaller costs than the traditional supply chain. Also, a container supply chain can be more easily scaled up due to faster emptying operations. Initially the container operations would only supply part of the fuel needs of a power plant and it would complement the current supply chain. The model can be expanded to include intermodal supply chains as due to increased demand in the future there is not enough wood chips located close to current and future power plants.

Customer satisfaction data utilization: identifying value drivers and information use practices

The objective of this master’s thesis was twofold: first to examine the concept of customer value and its drivers and second to identify information use practices. The first part of the study represents explorative research that was carried out by examining a case company’s customer satisfaction data that was used to identify sales and technical customer service related value drivers on a detailed attribute level. This was followed by an examination of whether these attributes had been commented on in a positive or a negative light and what were the reasons why the case company had received higher or lower ratings than its competitor. As a result a classification of different sales and technical customer service related attributes was created. The results indicated that the case company has performed well, but that the results varied on the company’s business segment level. The case company’s staff, service and the benefits from a long-lasting relationship came up in a positive light whereas attitude, flexibility and reaction time came up in a negative light. The reasons for a higher or lower score in comparison to competitor varied. The results indicated that a customer’s satisfaction with the company’s performance did not always mean that the company was outperforming the competition. The second part of the study focused on customer satisfaction information use from the viewpoints of information access, dissemination and reaction. The study was conducted by running an internal survey among the case company’s staff. The results showed that information use practices varied across the company and some units or teams had taken a more proactive approach to the information use than others.