819 resultados para IT - Business Alignment


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Business intelligence (BI) is an information process that includes the activities and applications used to transform business data into valuable business information. Today’s enterprises are collecting detailed data which has increased the available business data drastically. In order to meet changing customer needs and gain competitive advantage businesses try to leverage this information. However, IT departments are struggling to meet the increased amount of reporting needs. Therefore, recent shift in the BI market has been towards empowering business users with self-service BI capabilities. The purpose of this study was to understand how self-service BI could help businesses to meet increased reporting demands. The research problem was approached with an empirical single case study. Qualitative data was gathered with a semi-structured, theme-based interview. The study found out that case company’s BI system was mostly used for group performance reporting. Ad-hoc and business user-driven information needs were mostly fulfilled with self-made tools and manual work. It was felt that necessary business information was not easily available. The concept of self-service BI was perceived to be helpful to meet such reporting needs. However, it was found out that the available data is often too complex for an average user to fully understand. The respondents felt that in order to self-service BI to work, the data has to be simplified and described in a way that it can be understood by the average business user. The results of the study suggest that BI programs struggle in meeting all the information needs of today’s businesses. The concept of self-service BI tries to resolve this problem by allowing users easy self-service access to necessary business information. However, business data is often complex and hard to understand. Self-serviced BI has to overcome this challenge before it can reach its potential benefits.

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This thesis reveals the topic of reputational risk management as a key element for business continuity and value maximization. The purpose of the work is to investigate reputational risk from the side of its definition, management (including legal requirements on this risk category) and measurement and to analyse reputational risk’s impact on business continuity and value maximization. To be able to do this, different respective articles, reports of financial institutions are gathered and constructive summaries and analysis are made. In order to deeply investigate the impact of reputational risk on business continuity and value maximization, it was chosen to study it from three aspects: 1) check the impact of stock valuation of 7 companies that experienced reputational catastrophe / risk, 2) analyse a case study on disagreements in management of reputational risk among case companies and impact on their respective performance, and 3) conduct a survey of financial sector companies in Liechtenstein to see how reputational risk management works in practice. The findings of the research showed a significant impact of reputation decadence on company’s value and trading volume, and showed crucial importance of post-crisis management for the company’s financial performance. The results of the qualitative research based on survey proved that companies consider reputational risk management as a one of the key elements for their business continuity and value maximization.

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Business intelligence (BI) is an information process that includes the activities and applications used to transform business data into valuable business information. Today’s enterprises are collecting detailed data which has increased the available business data drastically. In order to meet changing customer needs and gain competitive advantage businesses try to leverage this information. However, IT departments are struggling to meet the increased amount of reporting needs. Therefore, recent shift in the BI market has been towards empowering business users with self-service BI capabilities. The purpose of this study was to understand how self-service BI could help businesses to meet increased reporting demands. The research problem was approached with an empirical single case study. Qualitative data was gathered with a semi-structured, theme-based interview. The study found out that case company’s BI system was mostly used for group performance reporting. Ad-hoc and business user-driven information needs were mostly fulfilled with self-made tools and manual work. It was felt that necessary business information was not easily available. The concept of self-service BI was perceived to be helpful to meet such reporting needs. However, it was found out that the available data is often too complex for an average user to fully understand. The respondents felt that in order to self-service BI to work, the data has to be simplified and described in a way that it can be understood by the average business user. The results of the study suggest that BI programs struggle in meeting all the information needs of today’s businesses. The concept of self-service BI tries to resolve this problem by allowing users easy self-service access to necessary business information. However, business data is often complex and hard to understand. Self-serviced BI has to overcome this challenge before it can reach its potential benefits.

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Tämän Pro Gradu-tutkielman tavoite on tutkia Business Process Re-engineering menetelmiä myyntiprosessien tehostamisessa. Tutkimuksen teoreettinen viiteke-hys rakentuu myynninjohtamisen, myyntiprosessien ja Business Process Mana-gementin ja Business Process Re-enineeringin ympärille. IT-järjestelmät ovat myös oleellinen osa-alue tutkimuksen kannalta ja niiden osuutta kuvataan niin myyntiprosesseissa kuin Business Process Re-engineering -menetelmien yhtey-dessä. Tutkielmassa perehdytään aikaisempaan tutkimusmateriaaliin ja akateemiseen kirjallisuuteen yllämainituilla osa-alueilla. Tavoitteena on löytää aikaisempia tutki-muksia myyntiprosessien tehostamisesta ja BPR:n roolista näissä tapauksissa. Myös myynninjohtamisen vaikutusta tehokkaaseen myyntiprosessiin tutkitaan, kuten myös IT-järjestelmien erilaisia rooleja tehokkaissa myyntiprosesseissa. Tutkielman empiirinen osio on kvalitatiivinen Case-tutkimus eräässä rahoitusalan yrityksessä. Tutkimus tehdään haastattelemalla myyntihenkilöstöä ja esimiehiä. Lisäksi analysoidaan yrityksen myyntiprosessiin liittyvää muuta materiaalia. Case-tutkimuksen tuloksia peilataan aiempaan akateemiseen tutkimukseen ja tuloksista pyritään löytämään ratkaisuja, miten BPR -menetelmillä voidaan tehostaa yrityksen myyntiprosessia.

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The purpose of this Master´s Thesis is to develop asset management and its practices in case company. District heating and cooling systems operated by case company around Finland, Sweden, Poland and the Baltics form an enormous-sized asset base where some parts are starting to reach their end of life-cycles. Large-sized asset renewal actions are under discussion and maintenance spending is increasing. Financially justified decisions in changing business environment are needed. Asset management is one of the most important concepts for production organization which operates with capital-intensive production assets. Organizations profitability is highly dependent on assets´ performance. Such assets, like district heating and cooling systems, should be utilized as efficiently as possible within their life-cycles but also maintained and renewed optimally. In this qualitative thesis, empirical interview study was conducted to describe the current situation on how the assets are managed in the case company and to examine the readiness to implement a new, risk-based solution. Asset management revealed to be a very well-known concept. From proposed risk-based asset management point of view, several key observations were made. It was seen as a suitable solution, but further development will be needed. Based on the need and findings, several key processes and frameworks were created and also tested with a case study. Assets` condition monitoring should be improved, which would have a positive impact on event probability assessment. Risk acceptance is also a thing to be discussed further. When the evaluation becomes fluent in single investment cases, portfolio-level expansion should be considered and started. As a result, thesis proposes a solution how risk-based asset management could be performed practically in a capital-intensive case company in order to optimize the maintenance spending in a long run. Created practical framework is made universal: similar principles can be applied into multiple cases in case company but also in other energy companies. Risk-based asset management`s benefits could be utilized best in portfolio-level optimization where the capital would be invested to the most important objects from total risk point of view. Eventually, such approach would allow case company to optimize capital spending in a situation where funds are not adequate to cover all the mandatory needs and prioritization between the investment alternatives will truly be needed.

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Digitalization and technology megatrends such as Cloud services have provided SMEs with a suitable atmosphere and conditions to internationalize and seek for further business growth. There is a limited amount of research on Cloud services from the business perspective and the limitations and challenges SMEs encounter when pursuing international business growth. Thus, the main research question of this study was how Cloud services may enable Finnish SMEs to overcome international growth challenges. The research question was further divided into three sub-questions dealing with matters related to features and characteristics of Cloud services, limitations and challenges Finnish SMEs experience when pursuing international growth of business, and benefits and advantages of utilizing Cloud services to mitigate and suppress international growth challenges. First, the theoretical framework of this study was constructed based on the existing literature on Cloud services, SMEs, and international growth challenges. After this, qualitative research approach and methodology were applied for this study. The data was collected through six semi-structured expert interviews in person with representatives of IBM, Exidio, Big Data Solutions, and Comptel. After analyzing the collected data by applying thematic analysis method, the results were compared with the existing theory and the original framework was modified and complemented accordingly. Resource scarcity, customer base expansion and retention, and lack of courage to try new things and take risks turned out to be major international growth challenges of Finnish SMEs. Due to a number of benefits and advantages of utilizing Cloud services including service automation, consumption-based pricing model, lack of capital expenditures (capex) and huge upfront investments, lightened organization structure, cost savings, speed, accessibility, scalability, agility, geographical expansion potential, global reaching and covering, credibility, partners, enhanced CRM, freedom, and flexibility, it can be concluded that Cloud services can help directly and indirectly Finnish SMEs to mitigate and overcome international growth challenges and enable further business growth.

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The purpose of this thesis was to understand how industrial buyers utilize social media in the purchasing of knowledge-intensive business services. By combining theories from past research a theoretical framework was formed to visualize the role of the social media at the different stages of the purchasing process. The subject was approached from the industrial buyers’ perspective instead of the knowledge-intensive business firm. The research was conducted using two qualitative research methods: interviews and netnography. The selected interviewees have been involved in the decision-making unit for purchasing knowledge-intensive business services. Additionally all of them are using various social media. Based on the interviews social media is used merely to support decision-making. Some of the interviewees had also shared their own experiences about the service and collaboration with the service provider with other social media users. Based on the interviews two social media were chosen for closer examination. The findings from netnography support the results from the interviews. The outcome of knowledgeintensive business services is dependable of the professionals. Therefore the information is used during decision-making process to confirm the formed image of the service, and the professionals of the service provider. Information obtained from social media complements information provided by the supplier. Even though the interviewees had not themselves used social media to find information about the service during search process, finding from netnography suggest it to exist. Industrial buyers ask other users’ opinions and experience about the services, and receive recommendations to them. Some recommendations are given publicly, but more discreet information is shared in private conversations. Observations in social media show that industrial buyers might be exposed to triggers to promote problem recognition as well. Companies share news and successful customer cases through their social media profiles, which might affect the industrial buyers, but to confirm this requires further research. The industrial buyers’ use of social media during different purchasing processes of knowledgeintensive business services can be conceptualize based on the findings. This helps companies to create right content to their social media pages, and encourage professionals to develop their networks in social media.

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The purpose of this study is to explore how scenarios can be exploited in strategic assessment of the external business environment. One of the key challenges for managers worldwide is to adapt their businesses to the ever-changing business environment. As the companies’ external business environment is constantly presenting new opportunities and threats, it is extremely important that companies continuously monitor the possible changes happening around it. As the speed of change rises, assessing the future has become more and more vital. The study was conducted as an exploratory research and the research strategy was influenced by scenario planning and case study strategy. The study examined the European pet food sector from the future point of view. Qualitative study was chosen as research approach and empirical data was collected primarily by seven expert interviews. The secondary data about the sector was applied as complementary empirical data. In the theoretical part of the research it was discovered that nowadays, traditional analysis frameworks are ill-suited for strategic assessment of the external business environment. This is why a self-created combination framework for analysis was employed both as study’s theoretical framework and analysis technique. Furthermore, the framework formed the base for interview questions. Both in theoretical and the empirical part of the study it was found that today, in strategic assessment of the external business environment, besides setting focus on the current situation, it is important to concentrate also on the future. The traditional analysis frameworks offer a good starting point for collecting relevant data but they do not encourage conducting a deeper analysis. By adding characteristics from scenario planning to these more traditional tools, a new analysis framework was created, which ensured the more comprehensive analysis. By understanding the interconnections between discovered phenomena and changes, and by recognizing uncertainties, the user is helped to reflect the environment more profoundly. The contributions of the study are both theoretical and managerial. A new analysis framework strives to answer to the current needs for strategic assessment of external business environment and the framework was tested in the context of European pet food sector. When it comes to managerial contributions, the importance lies in understanding the future. Managers must take future into account and understand that future includes various possibilities which all must be reflected

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The service sector in the global world is constantly growing: in Europe, they account currently approximately for 70 per cent of the total economy. Yet service internationalization is rather a new phenomenon: services have been traditionally seen as local entities, which also explains why research on service internationalization has properly begun only few decades ago. Even though the Single European Market allows free service movement between Member States, services do not move as actively as desired: approximately only one fifth of services are involved in cross-border trade. Therefore, the main purpose of this thesis is to analyze the barriers to service-sector SME internationalization in the EU business environment. To address the research purpose, the internationalization of service-sector SMEs in the EU area is first described and thereafter, the barriers to service-sector SME internationalization in the European context are mapped and analyzed from intra- and extra-firm perspectives. In order to understand the topic area and the phenomenon, a short glance is first taken into Europe as a business environment for service industries: the market characteristics and benefits of the common free trade area for service industries are described. Also earlier literature on service internationalization and barriers to international service trade are discussed. Due to low previous research activity on barriers specifically to international service trade, the discussion is improved by presenting general findings of barriers to SME internationalization. This research is conducted with qualitative methods: there is only a limited amount of previous research and qualitative methods provide a way of gathering in-depth information and reaching understanding from respondents’ perspectives. The evidence presented in the study was collected through six semi-structured interviews with six different small or medium sized international service firm representatives that all had the first-hand knowledge regarding their company’s process of delivering services from home market to other European countries. The results of the study provide a detailed description and analysis of intra- and extra-firm barriers to service-sector SME internationalization in the context of EU and indicate that in general, internal firm-specific barriers have a greater impact in determining firm’s possibilities to be engaged in cross-border service trade – external barriers played a smaller role. What might explain these results is that first of all, the study has full focus on service firms of smaller size and internal barriers tend to be particularly effective to SMEs as their resources, skills and capabilities are often limited, which limits internationalization possibilities. Second, the results may indicate that EU’s internal market and the free trade concept function quite well from service firms’ perspective, and the low service movement rate may be rather caused by firm’s own competences and resource-related difficulties than directly by flaws in the market. The results complete earlier literature and provide new and more detailed knowledge of barriers to cross-border service trade in the context of Europe. They also indicate that service internationalization should be observed separately from internationalization of traditional manufacturing firms due to unique service-specific characteristics. The findings of this study are particularly beneficial for small or medium sized service firm managers as it provides knowledge of delivering services across borders in Europe and of barriers that relate to that process.

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Today’s international business in highly related to crossing national, cultural and linguistic borders making communication and linguistic skills a vital part of the trade. The purpose of the study is to understand the role of linguistic skills in trust creation in international business relationships. Subobjectives are to discuss the importance of linguistic skills in international business context, to evaluate the strategic value of trust in business relationships and to analyze the extent to which linguistic skills affect trust formation. The scope is restricted to business-to-business markets. The theoretical background consists of different theories and previous studies related to trust and linguistic skills. Based on the theory a new LTS-framework is created to demonstrate a process model of linguistic skills affecting trust creation in international B2B relationships. This study is qualitative using interviews as a data collection method. Altogether eleven interviews were conducted between October 2014 and February 2015. All of the interviewees worked for organizations operating in the field of international business in B2B markets, spoke multiple languages and had a lot of experience in sales and negotiations. This study confirms that linguistic skills are an important part of international business. In many organizations English is used as lingua franca. However, there are several benefits of speaking the mother tongue of the customer. It makes people feel more relaxed and it makes the relationship more intimate and allows to continue developing it at a more personal level. From the strategic point of view trust creates competitive advantage to a company adding strategic value to the business. The data also supported the view that linguistic skills definitely impact the trust formation process. Quickness and easiness could be stated as the main benefits. It was seen that trust forms faster because both parties understand each other better and they become more open about information sharing within a shorter period of time. These findings and the importance of linguistic skills in trust creation should be acknowledged by organizations, especially regarding the human resource management. Boundary spanners are in key positions so special attention should be put into hiring and educating employees which then take care of company’s relationships. Eventually, these benefits are economical and affect to the profitability of the organization

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Health Innovation Village at GE is one of the new communities targeted for startup and growth-oriented companies. It has been established at the premises of a multinational conglomerate that will promote networking and growth of startup companies. The concept combines features from traditional business incubators, accelerators, and coworking spaces. This research compares Health Innovation Village to these concepts regarding its goals, target clients, source of income, organization, facilities, management, and success factors. In addition, a new incubator classification model is introduced. On the other hand, Health Innovation Village is examined from its tenants’ perspective and improvements are suggested. The work was implemented as a qualitative case study by interviewing GE staff with connections to Health Innovation Village as well as startup entrepreneurs and employees’ working there. The most evident features of Health Innovation Village correspond to those of business incubators although it is atypical as a non-profit corporate business incubator. Strong network orientation and connections to venture capitalists are common characteristics of these new types of accelerators. The design of the premises conforms to the principles of coworking spaces, but the services provided to the startup companies are considerably more versatile than the services offered by coworking spaces. The advantages of Health Innovation Village are that there are first-class premises and exceptionally good networking possibilities that other types of incubators or accelerators are not able to offer. A conglomerate can also provide multifaceted special knowledge for young firms. In addition, both GE and the startups gained considerable publicity through their cooperation, indeed a characteristic that benefits both parties. Most of the expectations of the entrepreneurs were exceeded. However, communication and the scope of cooperation remain challenges. Micro companies spend their time developing and marketing their products and acquiring financing. Therefore, communication should be as clear as possible and accessible everywhere. The startups would prefer to cooperate significantly more, but few have the time available to assume the responsibility of leadership. The entrepreneurs also expected to have more possibilities for cooperation with GE. Wider collaboration might be accomplished by curation in the same way as it is used in the well-functioning coworking spaces where curators take care of practicalities and promote cooperation. Communication issues could be alleviated if the community had its own Intranet pages where all information could be concentrated. In particular, a common calendar and a room reservation system could be useful. In addition, it could be beneficial to have a section of the Intranet open for both the GE staff and the startups so that those willing to share their knowledge and those having project offers could use it for advertising.

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Pienille ja keskisuurille yrityksille eli pk-yrityksille on olemassa useita kasvustrategioita. Nämä kasvustrategiat tähtäävät joko liiketoiminnan laajentamiseen, nykyisten resurssien hyödyntämiseen, uusien resurssien luotaamiseen tai liiketoiminnan supistamiseen. Valitsemaansa kasvustrategiaa noudattamalla yritys pyrkii pääsemään kasvutavoitteisiinsa. Tämän tutkimuksen tavoitteena on tieteellisen kirjallisuuden pohjalta arvioida kasvustrategioita ja valita niistä pienelle it-alalla toimivalle case-yritykselle sopivin. Sopivimmaksi havaitun kasvustrategian pohjalta case-yritykselle laaditaan räätälöity kasvustrategia. Kasvustrategian laatimiseen käytetään tieteellisen kirjallisuuden lisäksi empiirisenä menetelmänä tapaustutkimusta. Tapaustutkimus tehdään teemahaastatteluina kymmenelle yritykselle, joilla on liike-elämästä saatuja kokemuksia case-yritykselle valitusta kasvustrategiasta. Tutkimuksen tuloksena case-yritykselle sopivin kasvustrategia on verkostokasvustrategia. Verkostokasvustrategiaa noudattamalla case-yritys keskittyy omaan ydinosaamiseensa ja sen kehittämiseen ja hankkii tarvitsemansa muun osaamisen verkostokumppaneilta. Verkostoitumisen hyötyinä case-yritykselle on muun muassa pieni omien työntekijöiden tarve, tietotaidon saaminen, kilpailukyvyn paraneminen, markkinoinnin tehostuminen ja uusille markkinoille pääsyn helpottuminen. Verkostoitumisen haasteina case-yritykselle on sen sijaan muun muassa pienen yrityksen uskottavuusongelma, sopivien verkostokumppaneiden löytäminen ja epäluotettavat verkostokumppanit. Tutkimuksen johtopäätöksenä verkostoitumisesta saatavien hyötyjen nähdään kuitenkin olevan riskejä suuremmat case-yritykselle.

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The main aim of this research was to develop cost of poor quality calculation model which will better reflect business impacts of lost productivity caused by IT incidents for the case company. This objective was pursued by reviewing literature and conducting a study in a Finnish multinational manufacturing company. Broad analysis of the scientific literature allowed to identify main theories and models of Cost of Poor Quality and provided better base for development of measurements of business impacts of lost productivity. Empirical data was gathered with semi-structured interviews and internet based survey. In total, twelve interviews with experts and 39 survey results from business stakeholders were gathered. Main results of empirical study helped to develop the measurement model of cost of poor quality and it was tied to incident priority matrix. Nevertheless, the model was created based on available data. Main conclusions of the thesis were that cost of poor quality measurements could be even further improved if additional data points could be used. New model takes into consideration different cost regions and utilizes on this notion.

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After sales business is an effective way to create profit and increase customer satisfaction in manufacturing companies. Despite this, some special business characteristics that are linked to these functions, make it exceptionally challenging in its own way. This Master’s Thesis examines the current situation of the data and inventory management in the case company regarding possibilities and challenges related to the consolidation of current business operations. The research examines process steps, procedures, data requirements, data mining practices and data storage management of spare part sales process, whereas the part focusing on inventory management is reviewing the current stock value and examining current practices and operational principles. There are two global after sales units which supply spare parts and issues reviewed in this study are examined from both units’ perspective. The analysis is focused on the operations of that unit where functions would be centralized by default, if change decisions are carried out. It was discovered that both data and inventory management include clear shortcomings, which result from lack of internal instructions and established processes as well as lack of cooperation with other stakeholders related to product’s lifecycle. The main product of data management was a guideline for consolidating the functions, tailored for the company’s needs. Additionally, potentially scrapped spare part were listed and a proposal of inventory management instructions was drafted. If the suggested spare part materials will be scrapped, stock value will decrease 46 percent. A guideline which was reviewed and commented in this thesis was chosen as the basis of the inventory management instructions.

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Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.