Sustaining competitive advantage in changing environment: Case small and medium sized sawmills

The aim of this study is to examine how small and medium sized (SME) sawmills sustain their competitive advantage in the changing environment. Firstly, this study researches what changes affect SME sawmills’ competitiveness and what factors construct their competitive advantage. Secondly, this study examines how SME sawmills sustain their competitive advantage in the future and how agile and flexible they are. The theoretical part of this study represents the existing literature related to changes and competitive advantage in changing situations. The empirical part was executed as a qualitative research and it consists of thematic interviews with two SME sawmills. The results of the study indicate that several change factors affect the competitiveness of SME sawmills and therefore it is crucial to be alert on them. SME sawmills sustain their competitive advantage in the future by specialization and by being agile.

Jäänmurtopalveluiden kilpailutus palvelua tarjoavan yrityksen näkökulmasta

Jäänmurtajien ja jäänmurtopalveluiden kehittymisen myötä Suomen teollisuus ja ulkomaankauppa on voinut tukeutua ympärivuotisiin merikuljetuksiin. Vuodesta 1889 lähtien, yli sadan vuoden ajan, jäänmurto oli valtion virkamiesten hoitamaa palvelua. Viimeisen seitsemän vuoden aikana jäänmurtajat ja palveluntuotanto on siirtynyt liikelaitoksen kautta valtion omistamalle osakeyhtiölle. Tarkoituksena on ollut monien muiden palveluiden tapaan saada myös jäänmurto kilpailutuksen piiriin. Tämän diplomityön tarkoituksena oli selvittää jäänmurto -liiketoiminnan kannattavuutta kilpailuun mahdollisesti osallistuvien yritysten näkökulmasta. Kannattavuutta selvitettiin kolmen tutkimuskokonaisuuden avulla. Tutkittavat osa-alueet olivat jäänmurron sopimukset, kustannusrakenne sekä muu mahdollinen jäänmurtajalla avovesikaudella suoritettava liiketoiminta. Tutkimus toteutettiin haastattelututkimuksena. Haastateltavina oli sekä jäänmurrossa mukana olevia ja siitä kiinnostuneita varustamoita että muita merenkulun sidosryhmiä, joiden toiminta vaikuttaa liiketoiminnan kannattavuuteen. Lisäksi tehtiin laskelmia kilpailutekijöiden selventämiseksi. Työn tuloksena ei pyritty saamaan ehdotonta tulosta kannattavuudesta, vaan tuloksina esiteltiin yritysten ja sidosryhmien näkemyksiä siitä, miten jäänmurron kilpailutusta voisi kehittää. Erityisesti haluttiin tuoda esille ne seikat, mitkä varustamot näkivät tärkeänä ja mitkä tukisivat heidän osallistumistaan mahdolliseen kilpailuun.

Limitations in controlling white mold on common beans with Trichoderma spp. at the fall-winter season

We studied the effectiveness of application of Trichoderma spp. in controlling white mold on common beans at the fall-winter crop in the Zona da Mata region of the State of Minas Gerais, Brazil. There was no effect of the antagonist in reducing the disease severity, which could be explained by the low temperatures and the high inoculum pressure in the field. We concluded that Trichoderma applications are not recommended for control of white mold on common beans at the fall-winter season in regions with average temperature bellow 20 °C, since this condition favor more the pathogen than the antagonist.

Macrophomina phaseolina: density and longevity of microsclerotia in soybean root tissues and free on the soil, and competitive saprophytic ability

In field experiments, the density of Macrophomina phaseolina microsclerotia in root tissues of naturally colonized soybean cultivars was quantified. The density of free sclerotia on the soil was determined for plots of crop rotation (soybean-corn) and soybean monoculture soon after soybean harvest. M. phaseolina natural infection was also determined for the roots of weeds grown in the experimental area. To verify the ability of M. phaseolina to colonize dead substrates, senesced stem segments from the main plant species representing the agricultural system of southern Brazil were exposed on naturally infested soil for 30 and 60 days. To quantify the sclerotia, the methodology of Cloud and Rupe (1991) and Mengistu et al. (2007) was employed. Sclerotium density, assessed based on colony forming units (CFU), ranged from 156 to 1,108/g root tissue. Sclerotium longevity, also assessed according to CFU, was 157 days for the rotation and 163 days for the monoculture system. M. phaseolina did not colonize saprophytically any dead stem segment of Avena strigosa,Avena sativa,Hordeum vulgare,Brassica napus,Gossypium hirsutum,Secale cereale,Helianthus annus,Triticosecalerimpaui, and Triticum aestivum. Mp was isolated from infected root tissues of Amaranthus viridis,Bidens pilosa,Cardiospermum halicacabum,Euphorbia heterophylla,Ipomoea sp., and Richardia brasiliensis. The survival mechanisms of M. phaseolina studied in this paper met the microsclerotium longevity in soybean root tissues, free on the soil, as well as asymptomatic colonization of weeds.

Smart homes as service platforms. Research report of ÄLYKOP sub-project “Competitive advantage from customer value”

In this report, we summarize results of our part of the ÄLYKOP-project on customer value creation in the intersection of the health care, ICT, forest and energy industries. The research directs to describe how industry transformation and convergence create new possibilities, business opportunities and even new industries.The report consists of findings which are presented former in academic publications. The publication discusses on customer value, service provision and resource basis of the novel concepts through multiple theorethical frameworks. The report is divided into three maim sections which are theoretical background, discussion on health care industry and evaluations regarding novel smart home concepts. Transaction cost economics and Resource- Based view on the firm provides the theoretical basis to analyze the prescribed phenomena. The health care industry analysis describes the most important changes in the demand conditions of health care services, and explores the features that are likely to open new business opportunities for a solution provider. The third part of the report on the smart home business provides illustrations few potential concepts that can be considered to provide solutions to economical problems which arise from aging of population. The results provide several recommendations for the smart home platform developers in public and private sectors. By the analysis, public organizations dominate service provision and private markets are emergent state at present. We argue that public-private partnerships are nececssary for creating key suppliers. Indeed, paying attion on appropriate regulation, service specifications and technology standards would foster diffusion of new services. The dynamics of the service provision networks is driven by need for new capabiltities which are required for adapting business concepts to new competitive situation. Finally, the smart home framework revealed links between conventionally distant business areas such as health care and energy distribution. The platform integrates functionalities different for purposes which however apply same resource basis.

Preferred Offer as a Method in Competitive Bidding

The objective of this master’s thesis was to find means and measures by which an industrial manufacturing company could find cost-competitive solutions in a price-driven market situation. Initially, it was essential to find individual high customer value spots from the offering. The study addressed this in an innovative way by providing the desired information for the entire range of offering. The research was carried out using the constructivist approach method. Firstly, the project and solution marketing literature was reviewed in order to establish an overview of the processes and strategies involved. This information was then used in conjunction with the company’s specific offering data to conduct a construction. This construction can be used in various functions within the target company to streamline and optimize the specifications into so-called “preferred offers”. The study also presents channels and methods with which to exploit the construction in practice in the target company. The study aimed to bring concrete improvements in competitiveness and profitability. One result of this study was the creation of a training material for internal use. This material is now used in several countries to inform and present to the staff the cost-competitive aspects of the target company’s offering.

The influence of the season of the year and of dilution on the development of swine manure and wood shaves co-composting

The objective of this research was to study the influence of factors related to the proper management of pig manure (lower dilution) and the season of the year in the progress of the co-composting of pig manure with wood shavings and in the final quality of the compost resulting from the treatments. In the first experiment, two types of swine manure were used: a diluted one (2% Dry Matter - DM), typical from the management usually used in Brazil, and a more concentrated one (6% DM). The manures were incorporated into the wood shavings (6L:1kg) over the course of four weeks. The development of composting was accompanied by monitoring of temperatures inside the piles and the emission of CO2 and CH4 gases during 65 days, including the period of incorporation. The results showed that the diluted manure does not provide the minimum conditions for starting the process. After the incorporation period, any biomass heating was observed and neither the aerobic or anaerobic respiration of the microorganisms, resulting in a compost with low quality. In the second experiment, which evaluated composting in winter and summer during 85 days, it was found that the heat exchange with the environment influences the temperature generated within the piles. The lower temperatures significantly reduced the methanogenesis on the biomass.

Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season

This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.

Broiler breeder hen performance and egg hatchability during rainy season in Brazilian semi-arid region

Henhouse thermal comfort and bird age influence broiler breeder hen productivity; this way, the present research aimed to assess thermal comfort indexes and broiler breeder hen performance during winter in North East semi-arid region from Brazil, using a Cobb Avian 48 broiler strain at the age of 38 and 50 weeks. We measured the following bioclimatic indexes: air temperature and relative humidity, black globe temperature and humidity, CO2 concentration and sound pressure levels at henhouse facility. Data analysis design was complete randomized in a 3 x 3 factorial scheme with three treatments (months) and three replications (week number of collection by month). A number of 25 climatic data were observed. Bioclimatic indexes at the most warm hours throughout the day promoted bird discomfort yet sound pressure and carbon dioxide levels were under the Brazilian standards. Even in thermal comfort zone at some hours, the productivity indexes were in compliance with those recommended by the strain creation guidebook.

Breed and season influence on milk quality parameters and in mastitis occurrence

The aims of the present study were to evaluate the performance of Jersey and Holstein cows under different rainfall conditions (dry and rainy seasons) by monitoring aspects related to subclinical mastitis (somatic cell count, microbiological isolation, type of isolated pathogen), milk quality (lactose, protein, fat, total solids) and production (mean milk production) of both breeds. The study was carried out in a dairy farm located in the state of São Paulo, Brazil. Eight visitations were done to the farm, four in a period of high rainfall and four in a period of low rainfall. Milk samples were collected from 79 Holstein cows and 37 Jersey cows for electronic somatic cell count and determination of the main milk components (protein, fat, total solids, lactose). Milk fat, protein, total solids and production were influenced by breed and the season, with similar tendencies for both breeds in both seasons. Somatic cell count (SCC) showed similar results for both breeds. Holstein cows with intramammary infections (IMI) presented a higher increase in SCC when compared to Jersey cows (P<0.001). In the dry season, 53 animals had IMI in at least one month during the study, which 32 were Holstein and 21 were Jersey cows. In the rainy season, 65 animals had intramammary infection, being 43 Holstein and 22 Jersey cows. The frequency of IMI cases was larger in the rainy season than in the dry season. Jersey cows had a lower chance of showing IMI signs and symptoms than Holstein cows in the rainy season (odds ratio=0.52). The larger number of IMI cases in the rainy season may have led to a lower milk lactose rate for both breeds, thus milk lactose rate can be considered an indicator of IMI status. There was prevalence of contagious pathogens overall in the study. The applied model showed that environmental pathogens were more frequently isolated from the breed Jersey, regardless of the study season. There seems to be differences in the immune response of Jersey and Holstein breeds.

Goat scrotal-testicular biometry: Influence of the season on scrotal bipartition

The scrotal-testicular biometry was evaluated in goats raised in Piaui state, Brazil, presenting different levels of scrotal division, in rainy and dry periods of the year. For this study, eighteen male goats at mating age were accomplished and arranged into three groups (6 animals each), obeying the classification as goats with no scrotal bipartition (GI), goats showing scrotal bipartition up to 50% of testicular length (GII), and goats with more than 50% of scrotal bipartition (GIII). The biometry of the scrotal-testicular was made evaluating the scrotal length (SL), scrotal circumference (SC), testicular length (TL) and testicular volume (TV). The results were evaluated following the variance analysis (ANOVA) and the SNK test applied on the average comparisons. The analysis of the data demonstrated high values, in dry and rainy periods, of SC (24.63cm/ 26.97cm), SL (16.61cm/ 18.24cm), TL (5.32cm/ 5.93cm), TV (173.81cm³/ 203.01cm³). This supports the hypothesis of the influence of the period of the year and of the scrotal bipartition on the scrotal-testicular biometry in goat.

The sources of complementary competitive advantages for systems’ manufacturers in the aircraft modernization market

Being a top of high technology industries, the aerospace represents one of the most complex fields of study. While the competitiveness of aircraft systems’ manufacturers attracts a significant number of researchers, some of the issues remain to be a blank spot. One of those is the after-sale modernization. The master thesis investigates how this concept is related to the theory of competitive advantages. Finding the routes in the framework of complex technological systems’ lifecycle, the key drivers of the aircraft modernization market are revealed. The competitive positioning of players is defined through multiple case studies in a form of several in-depth interviews. The key result of the research is the conclusion that modernization should be considered as an inherent component of strategy of any aircraft systems’ manufacturer, while the master thesis aims to support managerial decision making.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.