Bakgrund: Under de senaste åren har svenska investerares intresse för hållbara investeringar ökat. Tidigare studier har genomförts för att identifiera vem den hållbara investeraren är, varför de väljer att investera hållbart och hur de går till väga. Däremot finns det fortfarande behov av vidare forskning på den svenska marknaden varav en kunskapslucka identifierats. Syfte: Syftet är att via en kvantitativ studie undersöka vilka demografiska faktorer som kännetecknar svenska, hållbara investerare. Studien ämnar även att undersöka vilka motiv och tillvägagångssätt som ligger till grund för hållbara investeringsbeslut på den svenska finansmarknaden. Metod: Studien har tillämpat en kvantitativ metod, deduktiv ansats, och en ickeexperimentell tvärsnittsdesign. Det empiriska materialet samlades in via en digital enkätundersökning via ett bekvämlighetsurval. Undersökningen resulterade i totalt 469 användbara svar som sedan analyserades via regressionsanalyser. Resultat: För de demografiska faktorerna är det endast kön som har ett 5 procent signifikant samband med den beroende variabeln. Resultatet visar även att samtliga undersökta motiv och tillvägagångssätt, med undantag för flockbeteende, har ett 5 procent signifikant samband med den beroende variabeln. Slutsats: Ambitionen med studien var att öka förståelsen för hållbara investeringar från den privata investerarens perspektiv. Således har studien bidragit med en förståelse för vem den svenska, hållbara investeraren är, hur den går till väga och varför den investerar hållbart. / Background: In recent years, Swedish investors have shown an increasing interest in sustainable investments. Previous studies have been conducted to identify who the sustainable investor is, why the investor chooses to invest sustainably and what strategy he or she uses. However, there is a need of further research in the Swedish market, whereof a knowledge gap has been identified.  Purpose: The purpose of this study is to investigate what demographic factors that characterize Swedish, sustainable investors. The study also intends to examine the motives and strategies used in the sustainable investment decision. Methodology: The study has applied a quantitative method, deductive approach, and a non-experimental cross-sectional design. The empirical material was conducted via a digital survey based on convenience sampling. The survey resulted in a total of 469 useful responses which were then analyzed via regression analyzes. Results:  The result shows that the demographic factor gender is the only independent variable with a 5 percent significant impact on the dependent variable. The result also shows that all examined motives and strategies, with the exception of herding, have a 5 percent significant impact on the dependent variable.  Conclusion: The aim of the study was to increase the understanding of sustainable investments from the perspective of the private investor. Thereby, the study contributes with an understanding of who the Swedish, sustainable investor is, what strategy the investor uses and why the investor invests sustainably.

The main goal of my master thesis is evaluation an investment project of company on the base of dynamic methods of investment evaluation. Methods of evaluation are net present value, payoff period, gross investment, profitability index and internal rate of return.

This thesis is concerned with developer project Rezidence Austerlitz in Slavkov u Brna realized by KALÁB company. It describes managing this project from buying the grounds to selling the real estate to clients. At the same time the thesis deals with the project's financing, time schedule and assesses market and construction risks. Part of the work is also analyzing the estate market which adverts to evolution of housing construction across the whole Czech Republic in the past ten years. Progress of real estate construction in Jihomoravský kraj is described in detail, including the progress of estate valuation.

This study investigates what three large, multinational hospitality companies do in practice when evaluating and making IT investment decisions. This study was launched in an attempt to 1) learn more about how multinational hospitality companies evaluate, prioritize, and select IT investments in the context of hotel GDS; 2) call attention to an important and costly topic in hopes of improving current practices; and 3) fill a noticeable literary void so that future researchers on IT and hotel GDS would have a foundation and starting point. The perennial question of any business is "How does an organization add value?" Value can be defined from many different perspectives and may result from tangible and intangible factors. Principal stakeholders include shareholders (investors), customers, and employees. Shareholders typically measure value in terms of economic return on their investment based upon some level of perceived risk. For customers, value is assessed in terms of a price-value relationship; that is, how much they received in terms of product and services for the price they paid. For employees, value is measured by salary and by the intrinsic rewards of the job. Yet, one of the most elusive questions with respect to information technology is "How can value be measured?" Hospitality executives are being pressured daily to invest more in information technology (IT) - especially in the area of hotel global distribution systems (GDS), which have become the cornerstone of a hotel firm's IT infrastructure and portfolio. There are a number of sweeping changes on the horizon impacting hotel GDSs and requiring the development of a well-crafted strategy for global distribution systems. These broad changes include bypass theories to remove airline GDSs and travel agents, the introduction of new and emerging player, and innovative approaches to pricing and promotion. Many of these developments offer promise to hoteliers, but they also threaten their control over their customer relationships and their inventory and add to the complexity and cost of distribution. Selecting the appropriate distribution channels is paramount to success and important if hotel firms are to grow top-line revenue and control overhead; yet the number of choices facing hotel executives is overwhelming. They are also at a loss for measuring value derived from IT. One of the greatest issues plaguing the advancement of technology in the hospitality industry is the difficulty in calculating return on investment. Until recently, most technology investment decisions have been considered using a support or utility mentality that stems from a manufacturing paradigm. Under such thinking, business cases could be built around an application or technology's ability to reduce costs or create labor savings. However, management's attitudes towards technology have been shifting in recent years. The more technologically savvy hospitality companies are looking to IT to build strategic and competitive advantages. These types of investments yield results over time, and seldom in the short-run. This is problematic among owners and investors who demand more immediate results. Moreover, it is difficult to quantify and calculate the tangible benefits of technology when it is used for strategic purposes. Today's financial models are inadequate for estimating the financial benefits for most of the technology projects under consideration today. While the hospitality industry has disciplined models and sufficient history to determine the financial gains or success of opening a new property in a given city, it lacks the same rigorous models and historical data for technology, especially since each technology project is unique. Although this problem is not specific to the hospitality industry, it is particularly problematic since the industry tends to be technologically conservative and unwilling to adopt new technology applications based on the promises of its long-term merits if it cannot quantify the results and calculate a defined payback period. When uncertainty surrounds the investment, when the timing of the cash flows is unpredictable, and when the investment is perceived as risky, owners and investors will most likely channel their investment capital to projects with more certain returns and minimal risk. Thus, under this thinking, technology will always take a back seat to other organizational priorities and initiatives. Efforts must be made to change this thinking and to develop financial models that can accurately predict and capture the financial benefits derived from technology. Given the present predicament and difficulties surrounding the current tools, techniques, and measures, executives are faced with an important choice. They can 1) continue to use the present methods despite their shortcomings, 2) dispense with ROI, cost-benefit, and discounted cash flow analyses altogether for IT projects, or 3) develop new methods, tools, and measures that can accommodate the complexities of IT and quantify the intangibles. This study is a call to action in favor of the latter because the measures determine not only which projects will be accepted but also how their success will be evaluated. Having a rigid evaluation process forces executives to identify a project's potential contribution and align the project's objectives with the firm's strategic goals and objectives. Using the co-alignment principle as its theoretical underpinning, this study employs a multiple-case design to investigate the resource allocation processes used with respect to information technology and global distribution systems. It looks at how three leading, multinational hospitality firms address IT project/investment evaluation and decision-making, the measures they use, and the frustrations they encounter. These frustrations include problems that arise from a hotel firm's fragmented ownership as well as from hotel executives' inability to measure the results of IT through definitive cause-and-effect relationships. The results of the study provide affirmation of the co-alignment principle and document linkages and co-alignment between strategy and IT. Clearly, decisions involving IT and hotel GDSs require multivariate measures, multidimensional perspectives, and multidisciplinary involvement. However, research from the marketing discipline is noticeably absent in this area. This study concludes that because IT plays an important enabling role for marketing initiatives and is redefining the supply chain of a hotel firm, marketing researchers can no longer stand on the sidelines. This study also identifies three important constructs, or classes of variables (context, process, and project), the variables comprising each, and their influences on the evaluation and decision-making processes. These findings add to the understanding of IT evaluation, measurement, and decision-making in the context of hotel GDS. This study clarifies the intangible aspects in hopes that useful measures can be developed in subsequent research to quantify and evaluate these costs and benefits. Finally, this study provides a series of prescriptions or recommendations gleaned from the three companies that were the focus of this study in hopes that they will lead to the development of best practices in the hospitality industry. / Ph. D.

Bakgrund: Intresset för att engagera sig inom investeringar och aktiemarknaden har sett en betydlig ökning genom den senaste årtionden, särskilt bland allt fler yngre individer. Inom dagens samhälle är det allt vanligare att människor inte enbart kommunicerar ansikte mot ansikte, utan också på den digitala arenan via internet och sociala medier. Detta är något som även kommit att förändra hur aktiemarknaden ser ut idag och hur informationsutbytet genomförs bland investerare på marknaden. Syfte: Analysera och beskriva betydelsen av informationsutbyte för unga aktieinvesterare. Teori: Studien tillämpar sig av teorier såsom beteendemässiga finansteorin, heuristik, inramningseffekten, flockbeteende, överdriven självförtroende, effektiva marknadshypotesen, mun-till-mun metoden och elektronisk mun-till-mun metoden. Metod: Studien använde sig av en kvalitativ metod i form av semistrukturerade intervjuer. Urvalet riktade sig mot unga investerare som var från 18 till 29 år gamla och sammanlagt deltog åtta respondenter.  Slutsats: Studiens resultatet kom fram till att informationsutbytet hade en betydelsefull roll för unga aktieinvesterares beslutsfattande och att de hade en större tilltro till information som härstammade från deras närmaste omkrets än från digitala medier. Dessutom framkom det att individer med högre finansiell kunskap och erfarenhet var mindre påverkade av snedvridningar och informationsutbytet. Det gick även att observera att respondenter som påverkades i mindre utsträckning av yttre påverkan, också hade en större nivå av medvetenheten om dessa snedvridningar och heuristik. / Background: Interest in investing and the stock market has seen a significant increase over the past decade, especially among an increasing number of younger individuals. In today's society, it is becoming increasingly more common for people to not only communicate face-to-face but also in the digital arena through the internet and social media. This is something that has also come to change how the stock market looks today and how information is exchanged among investors in the market. Purpose: Analyze and describe the importance of information exchange for young equity investors. Theory: The study applies theories such as the behavioral finance theory, heuristics, the framing effect, herd behavior, overconfidence, the efficient market hypothesis, word-of-mouth communication and electronic word-of-mouth communication. Method: The study used a qualitative method in the form of semi-structured interviews. The sample was aimed at young investors who were from 18 to 29 years old and a total of eight respondents participated. Conclusion: The results of the study concluded that the exchange of information played a significant role in the decision-making of young stock investors and that they had greater trust in information that originated from their immediate circle than from digital media. In addition, it emerged that individuals with higher financial knowledge and experience were less affected by biases and the exchange of information. It was also possible to observe that respondents who were influenced to a lesser extent by external influences also had a greater level of awareness of these biases and heuristics.

The design of hydropower projects requires a comprehensive planning process in order to achieve the objective to maximise exploitation of the existing hydropower potential as well as future revenues of the plant. For this purpose and to satisfy approval requirements for a complex hydropower development, it is imperative at planning stage, that the conceptual development contemplates a wide range of influencing design factors and ensures appropriate consideration of all related aspects. Since the majority of technical and economical parameters that are required for detailed and final design cannot be precisely determined at early planning stages, crucial design parameters such as design discharge and hydraulic head have to be examined through an extensive optimisation process. One disadvantage inherent to commonly used deterministic analysis is the lack of objectivity for the selection of input parameters. Moreover, it cannot be ensured that the entire existing parameter ranges and all possible parameter combinations are covered. Probabilistic methods utilise discrete probability distributions or parameter input ranges to cover the entire range of uncertainties resulting from an information deficit during the planning phase and integrate them into the optimisation by means of an alternative calculation method. The investigated method assists with the mathematical assessment and integration of uncertainties into the rational economic appraisal of complex infrastructure projects. The assessment includes an exemplary verification to what extent the Random Set Theory can be utilised for the determination of input parameters that are relevant for the optimisation of hydropower projects and evaluates possible improvements with respect to accuracy and suitability of the calculated results. / Die Auslegung von Wasserkraftanlagen stellt einen komplexen Planungsablauf dar, mit dem Ziel das vorhandene Wasserkraftpotential möglichst vollständig zu nutzen und künftige, wirtschaftliche Erträge der Kraftanlage zu maximieren. Um dies zu erreichen und gleichzeitig die Genehmigungsfähigkeit eines komplexen Wasserkraftprojektes zu gewährleisten, besteht hierbei die zwingende Notwendigkeit eine Vielzahl für die Konzepterstellung relevanter Einflussfaktoren zu erfassen und in der Projektplanungsphase hinreichend zu berücksichtigen. In frühen Planungsstadien kann ein Großteil der für die Detailplanung entscheidenden, technischen und wirtschaftlichen Parameter meist nicht exakt bestimmt werden, wodurch maßgebende Designparameter der Wasserkraftanlage, wie Durchfluss und Fallhöhe, einen umfangreichen Optimierungsprozess durchlaufen müssen. Ein Nachteil gebräuchlicher, deterministischer Berechnungsansätze besteht in der zumeist unzureichenden Objektivität bei der Bestimmung der Eingangsparameter, sowie der Tatsache, dass die Erfassung der Parameter in ihrer gesamten Streubreite und sämtlichen, maßgeblichen Parameterkombinationen nicht sichergestellt werden kann. Probabilistische Verfahren verwenden Eingangsparameter in ihrer statistischen Verteilung bzw. in Form von Bandbreiten, mit dem Ziel, Unsicherheiten, die sich aus dem in der Planungsphase unausweichlichen Informationsdefizit ergeben, durch Anwendung einer alternativen Berechnungsmethode mathematisch zu erfassen und in die Berechnung einzubeziehen. Die untersuchte Vorgehensweise trägt dazu bei, aus einem Informationsdefizit resultierende Unschärfen bei der wirtschaftlichen Beurteilung komplexer Infrastrukturprojekte objektiv bzw. mathematisch zu erfassen und in den Planungsprozess einzubeziehen. Es erfolgt eine Beurteilung und beispielhafte Überprüfung, inwiefern die Random Set Methode bei Bestimmung der für den Optimierungsprozess von Wasserkraftanlagen relevanten Eingangsgrößen Anwendung finden kann und in wieweit sich hieraus Verbesserungen hinsichtlich Genauigkeit und Aussagekraft der Berechnungsergebnisse ergeben.

The design of hydropower projects requires a comprehensive planning process in order to achieve the objective to maximise exploitation of the existing hydropower potential as well as future revenues of the plant. For this purpose and to satisfy approval requirements for a complex hydropower development, it is imperative at planning stage, that the conceptual development contemplates a wide range of influencing design factors and ensures appropriate consideration of all related aspects. Since the majority of technical and economical parameters that are required for detailed and final design cannot be precisely determined at early planning stages, crucial design parameters such as design discharge and hydraulic head have to be examined through an extensive optimisation process. One disadvantage inherent to commonly used deterministic analysis is the lack of objectivity for the selection of input parameters. Moreover, it cannot be ensured that the entire existing parameter ranges and all possible parameter combinations are covered. Probabilistic methods utilise discrete probability distributions or parameter input ranges to cover the entire range of uncertainties resulting from an information deficit during the planning phase and integrate them into the optimisation by means of an alternative calculation method. The investigated method assists with the mathematical assessment and integration of uncertainties into the rational economic appraisal of complex infrastructure projects. The assessment includes an exemplary verification to what extent the Random Set Theory can be utilised for the determination of input parameters that are relevant for the optimisation of hydropower projects and evaluates possible improvements with respect to accuracy and suitability of the calculated results. / Die Auslegung von Wasserkraftanlagen stellt einen komplexen Planungsablauf dar, mit dem Ziel das vorhandene Wasserkraftpotential möglichst vollständig zu nutzen und künftige, wirtschaftliche Erträge der Kraftanlage zu maximieren. Um dies zu erreichen und gleichzeitig die Genehmigungsfähigkeit eines komplexen Wasserkraftprojektes zu gewährleisten, besteht hierbei die zwingende Notwendigkeit eine Vielzahl für die Konzepterstellung relevanter Einflussfaktoren zu erfassen und in der Projektplanungsphase hinreichend zu berücksichtigen. In frühen Planungsstadien kann ein Großteil der für die Detailplanung entscheidenden, technischen und wirtschaftlichen Parameter meist nicht exakt bestimmt werden, wodurch maßgebende Designparameter der Wasserkraftanlage, wie Durchfluss und Fallhöhe, einen umfangreichen Optimierungsprozess durchlaufen müssen. Ein Nachteil gebräuchlicher, deterministischer Berechnungsansätze besteht in der zumeist unzureichenden Objektivität bei der Bestimmung der Eingangsparameter, sowie der Tatsache, dass die Erfassung der Parameter in ihrer gesamten Streubreite und sämtlichen, maßgeblichen Parameterkombinationen nicht sichergestellt werden kann. Probabilistische Verfahren verwenden Eingangsparameter in ihrer statistischen Verteilung bzw. in Form von Bandbreiten, mit dem Ziel, Unsicherheiten, die sich aus dem in der Planungsphase unausweichlichen Informationsdefizit ergeben, durch Anwendung einer alternativen Berechnungsmethode mathematisch zu erfassen und in die Berechnung einzubeziehen. Die untersuchte Vorgehensweise trägt dazu bei, aus einem Informationsdefizit resultierende Unschärfen bei der wirtschaftlichen Beurteilung komplexer Infrastrukturprojekte objektiv bzw. mathematisch zu erfassen und in den Planungsprozess einzubeziehen. Es erfolgt eine Beurteilung und beispielhafte Überprüfung, inwiefern die Random Set Methode bei Bestimmung der für den Optimierungsprozess von Wasserkraftanlagen relevanten Eingangsgrößen Anwendung finden kann und in wieweit sich hieraus Verbesserungen hinsichtlich Genauigkeit und Aussagekraft der Berechnungsergebnisse ergeben.