Brand Identity and Image in B2B Factory Automation Context

The goal of this thesis is to study how a solution-oriented business-to-business company can utilize its brand as a strategic asset by using the concepts of brand identity and brand image. The study analyses the intended brand message (identity) contrasting it with the customer perceptions (image) to reveal points of parity and congruence. The study uses a case company as an example and discusses the benefits of brand management as well. Internally, brands can be studied by performing a set of interviews amongst top and middle management. The interviews need to consider the various elements of branding from associations to differentiation and value creation. Customers’ perceptions can be reliably studied via online survey designed to compare the intended brand message with customers’ experiences. From the perspective of industrial management the incentive for brand development lies in both monetary and managerial benefits. In literature the four essential benefits of B2B branding are risk dilution, efficiency of communications, strategic direction and price premiums. As a result, suggestive models for brand identity and image were devised and compared. The Case Company perceives itself as a technically oriented open-integrator, with a strong focus on reliability and customer service. Customers agree with the picture in general, but there are some points of parity as well: they are quite satisfied with the company and perceive it as reliable and providing the promised value. The problematic areas revolve around customer interaction and maintaining the leadership position. The results confirm previous findings in B2B branding theory, where the reliability and credibility of the supplier are in major role. The results also suggest a holistic, corporate approach on branding.

Ympäristömarkkinointi kilpailuedun lähteenä B2B-yrityksissä - Case Outotec

Tutkielman tarkoituksena on tutkia, miten B2B-yritykset kokevat saavansa kilpailuetua ympäristömarkkinoinnilla. Ympäristömarkkinointi käsitetään keinona yrityksen ympäristölähtöisyyden toteuttamiseen sekä sisäisesti, organisaationalisiin prosesseihin ja kulttuuriin, että ulkoisesti, markkinointimixin eri toimenpiteisiin ulottuvana strategiana. Ympäristömarkkinoinnin vaikutusta kustannus- ja erilaistamisetujen syntymiseen tarkastellaan teoriakirjallisuuden lisäksi Outotec-yhtiön kautta.

Segmentation of overlapping convex objects

This thesis presents a framework for segmentation of clustered overlapping convex objects. The proposed approach is based on a three-step framework in which the tasks of seed point extraction, contour evidence extraction, and contour estimation are addressed. The state-of-art techniques for each step were studied and evaluated using synthetic and real microscopic image data. According to obtained evaluation results, a method combining the best performers in each step was presented. In the proposed method, Fast Radial Symmetry transform, edge-to-marker association algorithm and ellipse fitting are employed for seed point extraction, contour evidence extraction and contour estimation respectively. Using synthetic and real image data, the proposed method was evaluated and compared with two competing methods and the results showed a promising improvement over the competing methods, with high segmentation and size distribution estimation accuracy.

Sisältöstrategia ja sosiaalinen media osana B2B-yrityksen markkinointia

Tämä kandidaatintutkielma käsittelee sosiaalisen median markkinointia ja sisältöstrategiaa osana B2B-yrityksen markkinointiviestintää. Case-yrityksenä toimineen Maestron kanssa toteutettiin tutkimus, jossa pyrittiin selvittämään suomalaisen yritysjohdon tapoja käyttää sosiaalista mediaa ja kuluttaa sisältöjä. Tulosten perusteella pystyttiin selvittämään kohderyhmälle soveltuvimmat sisältötyypit ja kanavat, sekä tarkastelemaan valittujen markkinointiviestinnän muotojen soveltumista B2B-ympäristöön.

Supplier segmentation and development in project business

The purpose of this study was to expand the applicability of supplier segmentation and development approaches to the project-driven construction industry. These practices are less exploited and not well documented in this operational environment compared to the process-centric manufacturing industry. At first, portfolio models to supply base segmentation and various supplier development efforts were investigated in literature review. A step-wise framework was structured for the empirical research. The empirical study employed multiple research methods in three case studies in a large Finnish construction company. The first study categorized the construction item classes into the purchasing portfolio and positioned suppliers to the power matrix by investigating buyer-supplier relations. Using statistical tests, the study also identified factors that affect suppliers’ performance. The final case study identified improvement areas of the interface between a main contractor and one if its largest suppliers. The final results indicate that only by assessing the supply base in a holistic manner and the power circumstances in it, buyers comprehend how to best establish appropriate supplier development strategies in the project environment.

Building a Roadmap for a Market Intelligence function in a Global B2B company

Tämän diplomityötutkimuksen tarkoituksena on luoda markkinaälyyn (MI) erikoistunut funktio suurelle, globaalisti toimivalle B2B-yritykselle. Tämän päivän muut-tuvilla markkinoilla, teollisuusyrityksen on oltava markkinalähtöinen selviytyäkseen. Markkinatiedon tehokas hyödyntäminen ei pelkästään luo tietoa markkinoista, vaan tuottaa kilpailukykyistä tietoa ja toimii strategisen päätöksenteon tukena pitkällä aikavälillä. Tämä tutkimus on kvalitatiivinen toimintatutkimus, joka sisältää kirjallisuuskat-sauksen, yritystapaustutkimuksen sekä syväanalyysin yrityksen MI-ympäristöstä. Kirjallisuuskatsaus pitää sisällään teoriaa liittyen markkinaälyyn useassa eri kon-tekstissa, asiakassuhteeseen, sekä prosessinmallintamiseen. Empiiriseen osaa seuraa tutkimusmenetelmäkappale, joka sisältää kaksivaiheisen tutkimuksen mukaan lu-kien 20 päällikkötason haastattelua sekä yhden laaja-alaisen työryhmätapaamisen. Työn tuloksena syntyy kolmivaiheinen tiekartta, jonka tarkoitus on toimia pohjana uuden MI-funktion rakentamiselle Case-yrityksessä. Tuloksen mukaan MI-funktio tulisi sijoittaa yrityksen asiakasrajapintaan sekä tukea yksiköiden välistä integraa-tiota. Markkinaälyn jakaminen yrityksen sisällä vaatii käytäntöjen, tarpeiden ja ta-voitteiden systemaattista viestintää eri organisaatiotasoille, jotta yritys voi edelleen saada asiakkaalta tarpeeseen vastaavaa tietoa. Viestintä yrityksen ja asiakkaan välil-lä on oltava molemminpuolista, jotta tulokset voisivat parantaa asiakassuhdetta. Kun asiakassuhde paranee, yritys voi oppia asiakkaalta arvokasta tietoa, markkinaälyä.

Projektijohtamisen kehittämisellä lisäarvoa B2B- asiakkaille

Diplomityön keskeisimpinä tavoitteina kohdeyritykselle oli ymmärtää liiketoiminnan muutoksen elementtejä, arvioida projektijohtamisen kyvykkyyden vaatimuksia sekä tunnistaa kehitystarpeita projektinjohtamisen uusille toimintatavoille toimitusprojekteissa. Projektijohtamisen ja -hallinnan kehittäminen on viime vuosien aikana noussut niin yritysten kuin akateemisten yhteisöjen mielenkiinnon kohteeksi. Kirjallisuuskatsauksessa laaja-alaisen ymmärryksen luomiseksi projektijohtamisen viitekehystä tarkasteltiin liiketoiminnan muutoksen, arvontuoton, ulkoistamisen ja osaamisen näkökulmista. Muodostettua viitekehystä hyödynnettiin empiirisen kyselytutkimuksen suunnittelussa ja tulosten analysoinnissa. Tuloksista keskeisimpänä todetaan, että arvontuotto projektijohtamisen palveluissa ainakin projektipäälliköiden osalta kohdistuu osaamiseen, kokemukseen ja johtamistaitoihin. Palveluliiketoimintaan suuntautuminen edellyttää tuotteiden määrittämistä prosesseiksi. Samoin projektijohtamisen kohentaminen vaatii toimintatapamuutoksia, kommunikoinnin parantamista ja kyvykkyyden nostoa. Työn tuloksena tehtiin suosituksia kohdeyritykselle, joiksi määrittyivät projektijohtamisen käytäntöjen kehittäminen, projektitoimiston perustaminen ja arvontuoton terävöittäminen liiketoimintamallin muokkauksella.

Statistical segmentation methods and color variance analysis of retinal images

In this research, the effectiveness of Naive Bayes and Gaussian Mixture Models classifiers on segmenting exudates in retinal images is studied and the results are evaluated with metrics commonly used in medical imaging. Also, a color variation analysis of retinal images is carried out to find how effectively can retinal images be segmented using only the color information of the pixels.

Evaluating and improving demand forecast practices for B2B and B2C sectors

Demand forecasting is one of the fundamental managerial tasks. Most companies do not know their future demands, so they have to make plans based on demand forecasts. The literature offers many methods and approaches for producing forecasts. Former literature points out that even though many forecasting methods and approaches are available, selecting a suitable approach and implementing and managing it is a complex cross-functional matter. However, it’s relatively rare that researches are focused on the differences in forecasting between consumer and industrial companies. The aim of this thesis is to investigate the potential of improving demand forecasting practices for B2B and B2C sectors in the global supply chains. Business to business (B2B) sector produces products for other manufacturing companies. On the other hand, consumer (B2C) sector provides goods for individual buyers. Usually industrial sector have a lower number of customers and closer relationships with them. The research questions of this thesis are: 1) What are the main differences and similarities in demand planning between B2B and B2C sectors? 2) How the forecast performance for industrial and consumer companies can be improved? The main methodological approach in this study is design science, where the main objective is to develop tentative solutions to real-life problems. The research data has been collected from a case company. Evaluation and improving in organizing demand forecasting can be found in three interlinked areas: 1) demand planning operational environment, 2) demand forecasting techniques, 3) demand information sharing scenarios. In this research current B2B and B2C demand practices are presented with further comparison between those two sectors. It was found that B2B and B2C sectors have significant differences in demand practices. This research partly filled the theoretical gap in understanding the difference in forecasting in consumer and industrial sectors. In all these areas, examples of managerial problems are described, and approaches for mitigating these problems are outlined.

MARKETING COMMUNICATIONS IN B2B COMPANIES – The Roles of Marketing Communication Tools in the Digital Age

Marketing communications has gone through significant changes during the last decades and new online tools have been leading this change for the last decade. Now, in the digital age, if wanting to be successful companies need to experiment new things and seize the opportunities online provides and adapt to the new environment. However, during this time the marketing communication mix and the meanings given to the various components of it have not changed dramatically, and personal selling, direct marketing, sales promotion, advertising and public relations activities are still regarded as important tools in the marketing communications mix. The purpose of this study was to examine business-to-business marketing communications and the tools used by companies in their marketing communications efforts in the digital age and in a global environment. The research questions dealt with the marketing communication tools and their roles as well as the role of online marketing communication and the way it has shaped the field of b2b marketing communications. In order to answer these questions, qualitative approach was chosen and the data was collected by theme interviews with six representatives of Finnish global companies from the b2b sector being interviewed. The theoretical framework covers the general field of b2b marketing communications and its main elements. The online environment as well as the concept of a global marketplace and integrated approach to marketing communication activities is also discussed. The theory was supported by the interviews regarding the activities and roles of the marketing communication tools and both theory as well as the interviews found personal selling to be a vital tool. However, the importance of online has grown and online marketing activities have risen right next to personal selling. The use of analytics and marketing automation was found to be of great interest in the interviews and they were seen as a growing domain in b2b marketing communications. The importance of targeted and personalised messages from relevant medias was a repeating theme as was the customer-centric approach in marketing communication activities. Also, offline and online tools and channels were seen as something that should be treated together as an entity rather than as separate activities. Relevant content created according to the needs of the customer with the gathered data from analytics were seen as the future of b2b marketing communications. Online has added its input to the more traditionally perceived tools and they are executed within the framework of the digital age. Nevertheless, even though online has increased its presence in the b2b marketing communications mix, the more traditionally perceived marketing communication tools, especially personal selling, have not lost their meaning or place in the b2b marketing communication mix.

How to increase brand quality perception with audiovisual content? : Exploring the role of emotions in B2C and B2B contexts

This study discusses how audiovisual content can influence brand quality perceptions. The purpose of this study is to explore how audiovisual content creation can increase brand quality perceptions. This research problem is addressed with three sub questions, which aim at clarifying the role of emotions between content marketing and brand quality perception, explaining how different functions of audiovisual content can increase brand quality perception, and by identifying and comparing the key differences in content creation in business-to-consumer and business-to-businesscontexts. The theoretical background of the study is in brand personality, consumer emotions, consumerbrand relationships, content marketing and B2B branding literature. The empirical research part includes a single-case study. The case company was a Swiss startup that wished to build a highquality brand for both B2C and B2B segments. The empirical data was collected in September 2014. Eight interviews were conducted; seven with target segment representatives and one with an existing customer of the case company. The empirical findings were analyzed with thematic analysis and finally a 5-stage framework was created based on the findings of the research, offering a guideline for high-quality content creation. This study finds that emotions play an important role in brand quality perceptions. Psychological processes, emotion, cognition and conation, influence the engagement process of the target segment which ultimately can lead to activation and electronic word-of-mouth. Brand quality perception is the result of the overall emotion of the brand. The overall emotion derives from brand personality, brand concept, product attributes and utilitarian benefits of the brand. The entertaining and educational functions of the audiovisual content can target and evoke these emotional processes, and result in increased quality perceptions. In the B2B context, emotions are found to play a relatively smaller role in the quality perception processes. However, the significance of emotions cannot be ignored, since they can emphasize the value for the buying organization, and build on the trust and loyalty among the potential customers. The final framework presents five stages of content creation that ultimately improve brand quality perceptions. These stages help marketers to design and implement their content and evoke positive emotions in their target segment as part of a quality-based marketing strategy. Further research is warranted to quantitatively test the generalizability of the framework. Further research is also suggested to make the framework adaptable to different stages of the brand life cycle.

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

Brain tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images

The loss of brain volume has been used as a marker of tissue destruction and can be used as an index of the progression of neurodegenerative diseases, such as multiple sclerosis. In the present study, we tested a new method for tissue segmentation based on pixel intensity threshold using generalized Tsallis entropy to determine a statistical segmentation parameter for each single class of brain tissue. We compared the performance of this method using a range of different q parameters and found a different optimal q parameter for white matter, gray matter, and cerebrospinal fluid. Our results support the conclusion that the differences in structural correlations and scale invariant similarities present in each tissue class can be accessed by generalized Tsallis entropy, obtaining the intensity limits for these tissue class separations. In order to test this method, we used it for analysis of brain magnetic resonance images of 43 patients and 10 healthy controls matched for gender and age. The values found for the entropic q index were 0.2 for cerebrospinal fluid, 0.1 for white matter and 1.5 for gray matter. With this algorithm, we could detect an annual loss of 0.98% for the patients, in agreement with literature data. Thus, we can conclude that the entropy of Tsallis adds advantages to the process of automatic target segmentation of tissue classes, which had not been demonstrated previously.