Sähköpostista sosiaaliseen mediaan - sosiaalisen median strategia muoviteollisuusalan yritykselle

Sosiaalinen media on muuttanut markkinointia vuorovaikutteisuudella, avoimuudella ja läpinäkyvyydellä. Siksi yritysten kannattaa miettiä kuinka ja miksi lähteä mukaan sosiaaliseen mediaan. Tutkimusta asiasta on rajallisesti ja siksi tässä työssä rakennetaan sosiaalisen media strategia muoviteollisuusalan yritykselle. Työn empiirisessä osuudessa sosiaalisen median strategisia tavoitteita kysyttiin Uponorin johdolta sähköpostikyselyllä. Tulokset analysoitiin kvalitatiivisesti. Lisäksi kartoitettiin Uponorin henkilökunnalle tehdyn verkkopohjaisen lähtötila-analyysin avulla sosiaalisen median käyttöönottoa edistäviä ja estäviä tekijöitä yrityksissä. Aineisto analysoitiin kvantitatiivisin menetelmin. Tulosten perusteella myönteinen suhtautuminen voi edistää sosiaalisen median käyttöönottoa yrityksissä. Toisaalta tutkimuksessa ei voitu osoittaa, että yrityskulttuuriset tekijät estäisivät sosiaalisen median käyttöönottoa. Sosiaalisen median strategia rakennettiin teorian ja kyselyiden tulosten perusteella. Sosiaalisen median käyttö yrityksissä lisääntyy, joten jatkotutkimusta tarvitaan sosiaalisen median hyödyntämisestä yrityskontekstissa myös ulkoisten sidosryhmien osalta.

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.

The interconnections between customer loyalty, employee engagement and business performance

The interconnections of customer loyalty, employee engagement and business performance have been separately examined in several previous studies but actually a coherent study combining all of these components together has been lacking. This thesis aims to study all of these components and their interrelations at the same time in order to understand the organization as a one whole. The thesis includes an encompassing review of the previous studies related to customer loyalty and employee engagement. The theory presents both the theoretical approaches and the empirical findings from the earlier literature and builds therefore a strong fundament for the empirical part of this thesis. The empirical data in this thesis was provided by three case companies of a Nordic group operating in a business-to-business professional services branch and it used the Net Promoter Score method for measuring both customer loyalty and employee engagement. The thesis left interesting research questions open and provides therefore an intriguing study field for the future researches.

The Brazilian consumer's understanding and perceptions of organic vegetables: a Focus Group approach

Focus Group is a tool which generates, through interview sessions with a small number of participants, preliminary data to be used in subsequent quantitative stages. Many consumer studies use qualitative research with the aim of obtaining information and opinions on a specific product or situation. The objective of the present study was to obtain knowledge on the opinion, understanding and perception of the Brazilian consumer with respect to vegetables, focusing on organic products, using Focus Group Sessions. Four Focus Group Sessions were held with men and women in different environments, following a previously elaborated interview guide. In this study, it was observed that the consumers demonstrated being interested in having a healthy diet, based on fruit, vegetables and natural products. However, only a few declared consuming organic foods. Some participants did not know what the term organic meant, and most of them think that organic products are still very expensive, are not easily available in the supermarkets, do not have a good appearance, mainly in terms of size and packaging, and their certification is not always trustworthy. Almost all participants stated that they read package labels and among the items most observed were best-before date, nutritional information, production system and price. This study has identified important vegetable attributes perceived by the consumer, favouring the planning of a subsequent quantitative research. The results suggest that more information on the benefits of organic agriculture has to be passed on to consumers in order to contribute to a higher consumption of such products.

Utilizing analytic modelling process in industrial retail context

Nykypäivän monimutkaisessa ja epävakaassa liiketoimintaympäristössä yritykset, jotka kykenevät muuttamaan tuottamansa operatiivisen datan tietovarastoiksi, voivat saavuttaa merkittävää kilpailuetua. Ennustavan analytiikan hyödyntäminen tulevien trendien ennakointiin mahdollistaa yritysten tunnistavan avaintekijöitä, joiden avulla he pystyvät erottumaan kilpailijoistaan. Ennustavan analytiikan hyödyntäminen osana päätöksentekoprosessia mahdollistaa ketterämmän, reaaliaikaisen päätöksenteon. Tämän diplomityön tarkoituksena on koota teoreettinen viitekehys analytiikan mallintamisesta liike-elämän loppukäyttäjän näkökulmasta ja hyödyntää tätä mallinnusprosessia diplomityön tapaustutkimuksen yritykseen. Teoreettista mallia hyödynnettiin asiakkuuksien mallintamisessa sekä tunnistamalla ennakoivia tekijöitä myynnin ennustamiseen. Työ suoritettiin suomalaiseen teollisten suodattimien tukkukauppaan, jolla on liiketoimintaa Suomessa, Venäjällä ja Balteissa. Tämä tutkimus on määrällinen tapaustutkimus, jossa tärkeimpänä tiedonkeruumenetelmänä käytettiin tapausyrityksen transaktiodataa. Data työhön saatiin yrityksen toiminnanohjausjärjestelmästä.

Heat Demand Forecasting Models’ Development: Use of Data Mining Tools in SQL Server Analysis Services

This thesis introduces heat demand forecasting models which are generated by using data mining algorithms. The forecast spans one full day and this forecast can be used in regulating heat consumption of buildings. For training the data mining models, two years of heat consumption data from a case building and weather measurement data from Finnish Meteorological Institute are used. The thesis utilizes Microsoft SQL Server Analysis Services data mining tools in generating the data mining models and CRISP-DM process framework to implement the research. Results show that the built models can predict heat demand at best with mean average percentage errors of 3.8% for 24-h profile and 5.9% for full day. A deployment model for integrating the generated data mining models into an existing building energy management system is also discussed.

Explaining the intention to play and behavior of playing sports betting games of young Finnish adults : an application of the theory of planned behavior

The aim of this Master’s Thesis was to examine the determinants of intention and behavior of playing sports betting games in order to explain the intention to play in a more precise way and to be able to understand the behavior of playing. The theory of planned behavior was applied in explaining the intention of young Finnish adults aged 18 to 34. A quantitative research method was applied and an online survey was sent to the students of Lappeenranta University of Technology and to the subscribers of Urheilulehti in order to reach a sample that present the young population of Finland. The theory of the study focused on the theory of planned behavior and its antecedents, attitude towards behavior, subjective norms, perceived behavioral control as well as motivation. By analyzing the data, causal relationships were found through which the explanation of intention was possible. The results showed that attitude towards playing, subjective norms, perceived behavioral control and motivation impact the formation of intention significantly. The results also indicated that intention impacts significantly to the playing frequency.

Omistajuuden vaikutus yrityksen toimintaan ja tulokseen

Tämän tutkimuksen tavoitteena oli selvittää miten omistajuus vaikuttaa yrityksen toimintaan ja tulokseen ja syventää näkökulmaa omistajan vaikutuksesta yrityksen menestymiseen. Tutkimus tehtiin kvalitatiivisen ja kvantitatiivisen tutkimusmenetelmän yhdistelmällä, joka mahdollistaa laajemman näkökulman tutkittavaan asiaan ja tuo tutkimukseen luotettavuutta. Omistajan kompetenssilla toimia aktiivisena omistajana sekä hallita erilaisia liiketoimintariske-jä on suuri merkitys. Kestävä menestys, uudistuminen ja yrityksen arvon luominen vaativat niin asiantuntemusta, näkemyksiä, sitoutunutta riskirahoitusta kuin vuorovaikutustaitoja. Omis-tajalla on vaikutusvalta osaavan johdon ja henkilöstön motivaation ylläpysymiseen ja tahtoti-laan toimia yrityksen etujen mukaisesti ja yritykseen sitoutuneena. Ymmärtämällä omistamansa yrityksen kilpailuedut ja hallitsemalla organisatoriset riskit, omis-taja voi vaikuttaa valitsemansa roolin kautta yrityksen menestykseen ja tuottoarvon kasvuun. Tutkimuksen tulokset viittaavat myös siihen, että henkilöstön kokemat positiiviset psykologi-sen ja sosiaalisen omistajuuden tunteet selittävät onnistumisia.

CSR and CSR communication’s effect on prospective employees

The aim of this Master’s Thesis was to examine whether corporate social responsibility and CSR communication has effect on company’s image in the eyes of 18-25 year olds young job seekers and thus study young adults perceptions on these issues. By utilizing previous academic literature a through picture of the main topics was built and by conducting quantitative research, research’s aim was sought to answer. The framework defines the link between research’s main concepts corporate image, CSR and CSR communication and how this can lead to attracting prospective employees. A quantitative research method was applied and an online survey was sent to people whom had applied for L&T by June during the year 2015. Out of these people, those who were aged 18-15 and had vocational education were qualified to answer the survey. The data was analyzed by utilizing statistical analysis and causal relationships were found though which the explanation of perceptions and impacts was possible. The results showed that young adults are influenced by CSR and CSR communication and thus these factors have an impact on prospective employees.

Investigating the Existence of Business-IT Alignment Trap in Finnish IT Organizations

The overall purpose of this master's thesis is to investigate the existence of business-IT alignment trap in Finnish IT organizations. The alignment trap refers to the inability of IT investments to deliver the expected business benefits. The basis for this investigation is due to the previous knowledge that high level of IT alignment practice with very low efficacy in an organization can lead to alignment trap. The theory which was established on the dimensions of IT-alignment and efficacy of IT as a whole with considerations for cost reduction and revenue growth benefits. This study explored the same dimensions with the previous study but identified additional benefit (profitability). The study was conducted using the Finnish IT barometer data from different IT organizations. A quantitative research method was used in conducting this study which was built on positivist philosophical stance. The empirical data is based on survey data, an excerpt from the Finnish IT barometer data that captured the annual survey results of IT significance to Finnish organizations as evaluated by business and IT professionals. The survey data comprised of 249 respondents and their responses were categorized into high and low IT intensive which form the basis of the statistical analysis conducted. Overall, five analyses were conducted using the variables of cost reductions, revenue growth and profitability in the 2x2 matrix dimensions of IT alignment and efficacy of IT, grouped into alignment trap, maintenance zone, well-oiled IT and IT-enabled growth. The empirical results, revealed a partial existence of alignment trap in Finnish IT organizations. This is due to a very minute number of organizations that were ensnared in the alignment trap zone on the analyses conducted. Although they recorded considerable high performances in terms of revenue growth rate with IT spending below the average companies, their profitability was considered very low. Generally it was observed that Finnish IT organizations with high efficacy of IT practices had good performances, while those with low efficacy of IT experienced low performances, especially in the aspect of profitability, regardless of the degree of IT alignment. The study proposes that organizations should improve on practices that enhance effectiveness of IT more in order for them to realize the full benefits of IT and to avoid alignment trap.

Power and Performance Management Strategies on NoC-Based Multicore Platforms, Using DVFS, Adaptive Algorithm and Task Parallelism

This work presents synopsis of efficient strategies used in power managements for achieving the most economical power and energy consumption in multicore systems, FPGA and NoC Platforms. In this work, a practical approach was taken, in an effort to validate the significance of the proposed Adaptive Power Management Algorithm (APMA), proposed for system developed, for this thesis project. This system comprise arithmetic and logic unit, up and down counters, adder, state machine and multiplexer. The essence of carrying this project firstly, is to develop a system that will be used for this power management project. Secondly, to perform area and power synopsis of the system on these various scalable technology platforms, UMC 90nm nanotechnology 1.2v, UMC 90nm nanotechnology 1.32v and UMC 0.18 μmNanotechnology 1.80v, in order to examine the difference in area and power consumption of the system on the platforms. Thirdly, to explore various strategies that can be used to reducing system’s power consumption and to propose an adaptive power management algorithm that can be used to reduce the power consumption of the system. The strategies introduced in this work comprise Dynamic Voltage Frequency Scaling (DVFS) and task parallelism. After the system development, it was run on FPGA board, basically NoC Platforms and on these various technology platforms UMC 90nm nanotechnology1.2v, UMC 90nm nanotechnology 1.32v and UMC180 nm nanotechnology 1.80v, the system synthesis was successfully accomplished, the simulated result analysis shows that the system meets all functional requirements, the power consumption and the area utilization were recorded and analyzed in chapter 7 of this work. This work extensively reviewed various strategies for managing power consumption which were quantitative research works by many researchers and companies, it's a mixture of study analysis and experimented lab works, it condensed and presents the whole basic concepts of power management strategy from quality technical papers.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Customer Discovery and Customer Validation in Lean Software Startups

The traditional business models and the traditionally successful development methods that have been distinctive to the industrial era, do not satisfy the needs of modern IT companies. Due to the rapid nature of IT markets, the uncertainty of new innovations‟ success and the overwhelming competition with established companies, startups need to make quick decisions and eliminate wasted resources more effectively than ever before. There is a need for an empirical basis on which to build business models, as well as evaluate the presumptions regarding value and profit. Less than ten years ago, the Lean software development principles and practices became widely well-known in the academic circles. Those practices help startup entrepreneurs to validate their learning, test their assumptions and be more and more dynamical and flexible. What is special about today‟s software startups is that they are increasingly individual. There are quantitative research studies available regarding the details of Lean startups. Broad research with hundreds of companies presented in a few charts is informative, but a detailed study of fewer examples gives an insight to the way software entrepreneurs see Lean startup philosophy and how they describe it in their own words. This thesis focuses on Lean software startups‟ early phases, namely Customer Discovery (discovering a valuable solution to a real problem) and Customer Validation (being in a good market with a product which satisfies that market). The thesis first offers a sufficiently compact insight into the Lean software startup concept to a reader who is not previously familiar with the term. The Lean startup philosophy is then put into a real-life test, based on interviews with four Finnish Lean software startup entrepreneurs. The interviews reveal 1) whether the Lean startup philosophy is actually valuable for them, 2) how can the theory be practically implemented in real life and 3) does theoretical Lean startup knowledge compensate a lack of entrepreneurship experience. A reader gets familiar with the key elements and tools of Lean startups, as well as their mutual connections. The thesis explains why Lean startups waste less time and money than many other startups. The thesis, especially its research sections, aims at providing data and analysis simultaneously.

Design and implementation of machine vision system for the mobile assembly robot

The review of intelligent machines shows that the demand for new ways of helping people in perception of the real world is becoming higher and higher every year. This thesis provides information about design and implementation of machine vision for mobile assembly robot. The work has been done as a part of LUT project in Laboratory of Intelligent Machines. The aim of this work is to create a working vision system. The qualitative and quantitative research were done to complete this task. In the first part, the author presents the theoretical background of such things as digital camera work principles, wireless transmission basics, creation of live stream, methods used for pattern recognition. Formulas, dependencies and previous research related to the topic are shown. In the second part, the equipment used for the project is described. There is information about the brands, models, capabilities and also requirements needed for implementation. Although, the author gives a description of LabVIEW software, its add-ons and OpenCV which are used in the project. Furthermore, one can find results in further section of considered thesis. They mainly represented by screenshots from cameras, working station and photos of the system. The key result of this thesis is vision system created for the needs of mobile assembly robot. Therefore, it is possible to see graphically what was done on examples. Future research in this field includes optimization of the pattern recognition algorithm. This will give less response time for recognizing objects. Presented by author system can be used also for further activities which include artificial intelligence usage.

Onko yrityksen taloudellisella tilalla vaikutusta Tekes-rahoitusta saaneen yrityksen menestymiseen

Tämän tutkielman tavoite on yrityksen tulevan menestymisen tai epäonnistumisen ennustaminen. Tutkimuksen kohteena ovat tutkimus ja kehitys rahoitusta vuosina 2007- 2012 Tekesiltä saaneet mikro- ja pk yritykset. Ennustusta pyrittiin tekemään näille yrityksille niiden rahoitusprojektien alkuhetkeltä (hakemushetki). Tutkimus toteutettiin toimeksiantona Tekesille ja se jatkaa aikaisempaa tutkielmaa, ”Onko projektin henkilöriskitasolla tai talousriskitasolla yhteyttä t&k- projektin onnistumiseen?”. Tämän tutkimuksen johtopäätös oli, ettei varsinkaan talousriskillä ja projektin onnistumisella ole yhteyttä ja sen vuoksi niistä tarvittiin lisää tietoa. Teoreettisessa osuudessa käsitellään yrityksen kasvua ja onnistumisen tai epäonnistumisen ennakointia. Teoria pohjautuu aiheen aikaisempaan kirjallisuuteen ja sen tarkoitus on pohjustaa tutkielmassa tehtyjä valintoja yrityksien menestymisen ennustamiseksi. Tutkimus on toteutettu kvantitatiivisena tutkimuksena. Aineisto koostuu 430 Tekesin t&k- rahoitusta saaneista mikro- ja pk yrityksistä. Empiirisen osuuden tarkoitus oli selvittää, voidaanko koko yrityksen, menestystä ennustaa, jotta rahoitus voidaan kohdistaa paremmin, eli selvittää minkälaisia yrityksiä tulisi rahoittaa, jotta rahoitus kohdistuisi menestyjille. Tämän lisäksi tutkimuksessa haluttiin löytää oikeat muuttujat, joiden avulla yrityksen menestymisen ennustaminen on mahdollista. Menestymisen haluttiin kuvaavan koko yrityksen liiketoiminnan menestymistä. Menestymisen mittariksi valittiin liikevaihdon kasvu ja tarkasteltavaksi ajanjaksoksi aika yrityksen t&k- projektin hakemusvaiheesta, kolmen vuoden päähän projektin päättymisestä. Yritykset jaettiin menestyjiin liikevaihdon kasvun mukaan, ja niistä luotiin neljä koria: “Huiput”, “Kasvut”, “Hiipujat” ja “Konkurssit” ja koreja lähdettiin tutkimaan erilaisten mittarien avulla. Valitut mittarit olivat Tekesin riskiarvio (talousriski, henkilöriski, kehitysriski ja markkinariski), tilinpäätöksen tunnusluvuista kannattavuuden, maksuvalmiuden ja vakavaraisuuden tunnusluvut (liikevoittoprosentti ja sijoitetun pääoman tuottoprosentti, quick ratio ja omavaraisuusaste), projektin omarahoitus (yrityksen hakemusvaiheessa ilmoittama muun rahoituksen lähde, joka voi olla vieraanpääoman ehtoista, oman pääomanehtoista tai tulorahoitusta), sekä muut mittarit (uutuusarvo, jalostusarvo, tuottavuus ja lainojen perimättäjättöhakemukset). Riippumattomuutta testattiin ristiintaulukoinnilla, khiin neliötestillä ja kontingenssikerroin C:n avulla omavaraisuusasteen tunnusluvun osalta yhdistämällä ”Huiput”, ”Kasvut” ja ”Hiipujat” yhteen kotiin ja vertaamalla niitä konkurssiin menneisiin yrityksiin. Lopuksi konkurssiennusteista testattiin pienille yrityksille tarkoitettua Laitisen yhdistelmälukua. Tutkimuksessa havaittiin seuraavaa. Parhaiten yrityksen tulevan kasvun tai konkurssin ennakoivat havainnot seuraavissa muuttujissa: onko hanke rahoitettu lainalla vai avustuksella sekä mikä yrityksen hakemusvaiheen omavaraisuusaste, omarahoitusosuus tai tuottavuus on. Yrityksen hyvä rahatilanne projektin hakemusvaiheessa ei ennusta yrityksen liikevaihdon kasvua. Täydellistä ennustetta kasvulle ei voida tehdä. Laitisen yhdistelmäluku koettiin heikoksi tunnusluvuksi konkurssia ennustettaessa. Tämän takia, sitä muokattiin eri tavoin parhaan mahdollisemman ennusteen saamiseksi. Paras lopputulos saatiin muuttamalla tunnusluvun kriittistä arvoa pienemmäksi.