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Ce travail de recherche aborde la question de l’impact des réseaux sociaux numériques professionnels sur l’attractivité organisationnelle. Malgré la complexité et la diversité des études théorique et pratique portant sur la manière avec laquelle les membres des réseaux sociaux professionnels interagissent, les études portant sur l’attractivité organisationnelle et l’identification des membres dans le contexte d’e-recrutement demeurent limitées. Dans ce travail, le champ théorique qui a été mobilisé est la théorie du capital social. Il s’agit de mieux comprendre l'impact de l'identité sociale, la confiance sociale, bouche-à-oreille virtuel, le site des réseaux sociaux et le rôle médiateur de qualité d’information sur l’attractivité organisationnelle en tant qu’un employeur. La thèse propose un cadre d'analyse et conceptuel. En plus de la revue de la littérature, une étude complémentaire a été réalisée sur la base de 8 entretiens semi-directifs auprès de directeurs des ressources humaines afin de connaitre leur avis sur les motivations des entreprises qui intègrent l'utilisation des réseaux dans leurs pratiques de recrutement. Une étude quantitative a été menée à partir de 288 individus résidant en France et au Canada qui sont présents sur les réseaux sociaux numériques professionnels. Le but est de mesurer l’impact des facteurs identifiés dans la première étude qui influencent l’attractivité organisationnelle. Les résultats obtenus ont permis de comprendre l’importance du réseautage social, l’attractivité de site des réseaux sociaux ainsi que l’effet médiateur de qualité d’information sur l’attractivité organisationnelle, le prestige et l’intention des individus pour suivre des offres d’emploi sur ces plateformes. / This research work addresses the impact of professional social networks on the organizational attractiveness as an employer. Despite the complexity and diversity of studies on social networks both theoretical and practical regarding the way the members of professional social networks interact, the studies related to organizational attractiveness and membership identification in the context of e-recruitment is scarce remains limited. In this research, the social capital theory has been considered in order to better understand the impact of social identity, social trust, virtual word of mouth, the social networking platform and the mediating role of information quality on organizational attractiveness as an employer. In addition to the literature review, a first complementary study was carried out on the basis of 8 semi-directive interviews with human resources managers to obtain their opinions on the various stakeholders who integrate the use of these networks in their practices. A quantitative study was carried out on the basis of 288 individuals currently living in France and Canada who are present on professional online social networks in order to measure the impact of identified factors that influence the organizational attractiveness. The obtained results allowed us to understand the importance of social networking, the attractiveness of social networks sites and also the mediating effect of information quality on the organizational attractiveness as an employer, organizational prestige and intention of individuals to pursue job offers on these platforms.

Made available in DSpace on 2015-03-05T17:04:35Z (GMT). No. of bitstreams: 0 Previous issue date: 27 / Nenhuma / O presente estudo teve como objetivo o desenvolvimento de um método tentativo para a melhoria da acuracidade dos dados de um sistema específico de programação da produção para a indústria cárnea. A proposição baseou-se no projeto de implementação da referida ferramenta na Empresa Alfa, a qual produz alimentos a base de frangos, perus e suínos. O método de pesquisa utilizado foi um estudo de caso, por meio do qual se relatou e se analisou a influência da acuracidade dos dados sobre as informações geradas pelo sistema durante o projeto. O desenvolvimento do método proposto baseou-se no referencial teórico sobre programação da produção, qualidade de dados e qualidade de informações; nas percepções do autor acerca da participação do mesmo no projeto onde se aplicou o estudo de caso; e nas contribuições de especialistas na temática do trabalho. A partir disso, estruturou-se o método tentativo por meio de processos e subprocessos, hierarquização que possibilitou a execução dos objetivos de cada processo em relação / This study aims to develop a tentative method for improving the data accuracy of a specific production scheduling software for the meat industry. The proposition was based on the project phase of the implementation of a tool in Empresa Alfa, which produces food based on chickens, turkeys and porks. The research method used was a case study, by means of which it is reported and analyzed the influence of data accuracy on the information generated by the system during the project. The development of the proposed method was based on the theoretical framework on production scheduling, data quality and information quality, the author's perceptions about the same project which was applied in the case study and the contributions of experts in the thematic of the work. From this, the tentative method was structured by means of processes and subprocesses, hierarchy that enabled the implementation of the objectives of each process regarding the data accuracy in stages (subprocesses). At the end of the study, the autor c

Nos últimos trinta anos a conjuntura na qual as organizações atuam passou por profundas transformações, criando um contexto complexo, altamente competitivo e instável. No intuito de se manterem competitivas, é imperativo que as organizações criem mecanismos para responderem às pressões externas. Tais respostas podem ser obtidas por meio de estratégias de aumento na produtividade nas operações; aumento na agilidade para atuar em novos mercados; melhoria no processo de tomada de decisão e melhoria na Qualidade da Informação (QI). A TI vem desde a década de 70 evoluindo na construção de sistemas de inteligência de negócios (BI - Business Intelligence) para apoiar e melhorar o processo de tomada de decisão. Um dos principais objetivos do sistema de BI é disponibilizar informações com qualidade para os seus usuários. Na literatura científica ainda não há uma convergência de opiniões dos autores na definição de quais dimensões da QI devem ser utilizadas no contexto de sistema de BI sob a perspectiva do usuário. A identificação de quais dimensões da QI são relevantes no contexto de sistema de BI na percepção do usuário é o problema desta pesquisa. Foi realizada uma revisão da literatura, a qual identificou trinta dimensões da qualidade da informação para o contexto de sistema de BI. A metodologia para resolver esse problema é de natureza exploratória, utilizando a estratégia de levantamento para coleta de dados, estudo de caso e método quantitativo para as análises. O estudo de caso único ocorreu em uma empresa de grande porte do setor financeiro brasileiro, a qual possui uma grande quantidade de sistemas de BI e de usuários. Um questionário web foi utilizado para coleta dos dados. Foram coletadas 170 observações válidas. Para análise dos resultados, foram empregadas análises descritivas e técnicas de análise multivariada de dados, como a Regressão Múltipla, a Análise Fatorial Exploratória e a Análise de Correspondência (Homals). Nos resultados foram identificadas vinte dimensões da QI relevantes para o contexto de sistema de BI na perspectiva do usuário, que formam quatro categorias: \"Qualidade de Conteúdo\", \"Qualidade Intrínseca e da Acessibilidade\", \"Valor Agregado\" e \"Qualidade Contextual\". Também foi possível identificar que as características dos usuários interferem nas suas percepções em relação à QI do sistema de BI. Os resultados ajudam a guiar pesquisas futuras sobre a QI no contexto de BI e possui aplicações práticas para as empresas que desejam avaliar a percepção dos seus usuários em relação à QI presente no sistema de BI. / In the past thirty years the conjuncture in which organizations operate faced deep transformations, creating a complex context, highly competitive and instable environment. In order to keep competitive, it is imperative that companies generate mechanisms to respond these external pressures. These answers can be created by productivity increasing strategies; increasing the agility to function in new markets; improvement of decision making-processes and enhancing Information Quality (IQ). Since the 1970 decade, IT has been evolving in Business Intelligence (BI) systems construction to support and improve the decision-making process. One of the main goals of BI system is to provide IQ for users. On the scientific literature there is still no convergence between the authors regarding the definition of which IQ dimensions must be used in context of BI system from a user perspective. The identification of which IQ dimension is relevant in context of BI system from the user perspective is the research problem. Thirty information quality dimensions were identified on the literature review for BI context. The research method of this study is exploratory, based on online survey strategy for data collection and quantitative methods for analysis. A single case study was conducted in a big financial company in Brazil, which has a great amount of BI systems and users. A total of 170 responses were considered valid. Descriptive statistics and multivariate data techniques as Multiple Regression, Exploratory Factor Analysis and Multiple Correspondence Analysis (Homals) were used for analysis. Results highlight twenty IQ dimensions which are important in context of BI system from a user perspective, which forming four categories: \"Content Quality\", \"Intrinsic and Accessibility Quality\", \"Aggregated Value\" and \"Contextual Quality\". Also, the results suggest that the characteristics of the users leverage their perceptions on IQ in context of BI. These findings guide future researches about IQ in context of BI and may also have practice contributions for companies that want to evaluate IQ from user perspective.

Nos últimos trinta anos a conjuntura na qual as organizações atuam passou por profundas transformações, criando um contexto complexo, altamente competitivo e instável. No intuito de se manterem competitivas, é imperativo que as organizações criem mecanismos para responderem às pressões externas. Tais respostas podem ser obtidas por meio de estratégias de aumento na produtividade nas operações; aumento na agilidade para atuar em novos mercados; melhoria no processo de tomada de decisão e melhoria na Qualidade da Informação (QI). A TI vem desde a década de 70 evoluindo na construção de sistemas de inteligência de negócios (BI - Business Intelligence) para apoiar e melhorar o processo de tomada de decisão. Um dos principais objetivos do sistema de BI é disponibilizar informações com qualidade para os seus usuários. Na literatura científica ainda não há uma convergência de opiniões dos autores na definição de quais dimensões da QI devem ser utilizadas no contexto de sistema de BI sob a perspectiva do usuário. A identificação de quais dimensões da QI são relevantes no contexto de sistema de BI na percepção do usuário é o problema desta pesquisa. Foi realizada uma revisão da literatura, a qual identificou trinta dimensões da qualidade da informação para o contexto de sistema de BI. A metodologia para resolver esse problema é de natureza exploratória, utilizando a estratégia de levantamento para coleta de dados, estudo de caso e método quantitativo para as análises. O estudo de caso único ocorreu em uma empresa de grande porte do setor financeiro brasileiro, a qual possui uma grande quantidade de sistemas de BI e de usuários. Um questionário web foi utilizado para coleta dos dados. Foram coletadas 170 observações válidas. Para análise dos resultados, foram empregadas análises descritivas e técnicas de análise multivariada de dados, como a Regressão Múltipla, a Análise Fatorial Exploratória e a Análise de Correspondência (Homals). Nos resultados foram identificadas vinte dimensões da QI relevantes para o contexto de sistema de BI na perspectiva do usuário, que formam quatro categorias: \"Qualidade de Conteúdo\", \"Qualidade Intrínseca e da Acessibilidade\", \"Valor Agregado\" e \"Qualidade Contextual\". Também foi possível identificar que as características dos usuários interferem nas suas percepções em relação à QI do sistema de BI. Os resultados ajudam a guiar pesquisas futuras sobre a QI no contexto de BI e possui aplicações práticas para as empresas que desejam avaliar a percepção dos seus usuários em relação à QI presente no sistema de BI. / In the past thirty years the conjuncture in which organizations operate faced deep transformations, creating a complex context, highly competitive and instable environment. In order to keep competitive, it is imperative that companies generate mechanisms to respond these external pressures. These answers can be created by productivity increasing strategies; increasing the agility to function in new markets; improvement of decision making-processes and enhancing Information Quality (IQ). Since the 1970 decade, IT has been evolving in Business Intelligence (BI) systems construction to support and improve the decision-making process. One of the main goals of BI system is to provide IQ for users. On the scientific literature there is still no convergence between the authors regarding the definition of which IQ dimensions must be used in context of BI system from a user perspective. The identification of which IQ dimension is relevant in context of BI system from the user perspective is the research problem. Thirty information quality dimensions were identified on the literature review for BI context. The research method of this study is exploratory, based on online survey strategy for data collection and quantitative methods for analysis. A single case study was conducted in a big financial company in Brazil, which has a great amount of BI systems and users. A total of 170 responses were considered valid. Descriptive statistics and multivariate data techniques as Multiple Regression, Exploratory Factor Analysis and Multiple Correspondence Analysis (Homals) were used for analysis. Results highlight twenty IQ dimensions which are important in context of BI system from a user perspective, which forming four categories: \"Content Quality\", \"Intrinsic and Accessibility Quality\", \"Aggregated Value\" and \"Contextual Quality\". Also, the results suggest that the characteristics of the users leverage their perceptions on IQ in context of BI. These findings guide future researches about IQ in context of BI and may also have practice contributions for companies that want to evaluate IQ from user perspective.

Den här studien har tittat närmare på vilka informationskvalitativa faktorer som påverkar användarens upplevelse av informationskvalité i en e-handelskontext. Studien bygger på vetenskapliga artiklar och litteratur inom områdena informationskvalité och e-handel. Det gjordes även en egen datainsamling där sex informanter deltog. Dessa fick svara på intervjufrågor och genomföra ett användartest på en befintlig e-handelswebbplats. Uppgifterna i användartesterna presenterades i form av scenarios där informanten fick genomföra olika handlingar som är vanliga vid e-handel. Svaren från den egna datainsamlingen mappades sedan för att kunna identifiera vilka faktorer som påverkar användarens upplevelse av informationskvalité. Dessa jämfördes sedan med de faktorer som identifierats i tidigare studier. Resultatet från den egna datainsamlingen visar på att Förtroende, Informationsarkitektur, Information och Användbarhet är viktiga informationskvalitativa faktorer. Ett resultat som går i linje med tidigare forskning. / This study has looked into which information quality factors that affect the users’ experience in the context of e-commerce. The study is based on scientific articles and literature within the areas of information quality and e-commerce. There were also a separate data collection where six informants participated. These were asked to answer interview questions and carry out a user test on an existing e-commerce website. The tasks in the user test were presented in the form of scenarios were the informant had to carry out various actions that are common within e-commerce. The answers from the own data collection was then mapped to be able to identify which factors that affect the user's experience of information quality. These were then compared to the factors identified in previous studies. The result of the data collection in question shows that Trust, Informations architecture, Information and Usability are important information quality factors. A result that is in line with previous research.

近年來有關於品牌的研究逐漸朝向品牌社群的相關研究，探討其中的社會性意義與品牌認同、忠誠意向的關係。但過往在研究品牌社群上，皆側重於探討社會性的影響因子，諸如關係品質、互動品質等等，而較少著墨於其他的影響媒介，諸如資訊品質。資訊品質是影響虛擬社群成員滿意度與忠誠意向的關 鍵因素(Andersen,and Srinivasan,2003; Parks, and Kory,1996; Zeithaml and Berry,1996)。國內學者江義平與林佳蓁(2006)的研究也指出資訊品質會對虛擬社群成員的滿意以及信任有正向的影響。Jang, Olfman, Ko, Koh and Kim (2008)則指出資訊品質對於虛擬社群成員的承諾並無顯著關係。然而，資訊品質與實體的品牌社群之間的相關性研究則有待進一步探討。 本研究針對大台北區實體有機食品商店社群成員，採用問卷調查法，以結構方程式模型作為分析方法，欲探討在資訊發展較不完整的有機食品產業中，消費者所關心的資訊品質是否會影響其對於社群的認同進而影響社群忠誠意向。本研究的實證結果顯示： 1.資訊品質會透過品牌社群認同而影響品牌社群忠誠意向，其中以資訊品質的正確性、完整性、攸關性、及時性與一致性呈現正向而顯著的關係。 2.品牌社群認同除了會透過品牌社群承諾而影響品牌社群忠誠意向之外，也會直接對品牌社群忠誠意向產生正向而顯著的影響。 3.品牌社群認同並未透過規範性壓力而影響品牌社群忠誠意向。 / In recent years, researches on the brand gradually emphasize brand community studies, which explore the influence of social meaning and the relationship between brand identification and loyalty intentions. But the researches on brand communities in the past focused more on the impact of social factors, such as relationship quality, interactive quality, etc., and less investigated the impact of information quality. Information quality is regarded as one of the key factors of the satisfaction and loyalty intentions for the members of virtual community (Andersen, and Srinivasan, 2003; Parks, and Kory, 1996; Zeithaml and Berry, 1996). Jiang Yiping (2006) also pointed out that the quality of information has a positive influence on the virtual community members’ satisfaction and trust. Yet, Jang, Olfman, Ko, Koh and Kim (2008) pointed out that the information quality has no significant influence on the virtual community members’ commitment. However, the relationship between information quality and physical brand community is to be further explored. This research focuses on the members of the physical organic food store communities in Taipei area. It tests the hypotheses by estimating a structural equation model with survey data from a sample of the members of the organic food store culbs in Taipei area. After questionnaire investigation and SEM analysis, the empirical results are divided into three parts: 1.Information quality affects brand community loyalty intention through the mediation effect of community identification. And the accuracy, completeness, relevance, timeliness and consistency of the information quality have positive and significant effects on brand identifiaction. 2.Brand community identification not only influences the brand community loyalty intention through brand community commitment, but also directly affects the brand community loyalty intention positively and significantly. 3.Brand community identification doesn’t affect the brand community loyalty intentions through the mediation of normative pressure.

Under 1990-talet kom Kaplan och Norton fram med styrningsfilosofin balanserat styrkort som innebär att managers uppmanas att inte enbart ta hänsyn till finansiella mått utan bör använda sig av både finansiella och icke-finansiella mått för att kunna styra företag. Det här konceptet med balanserat styrkort har sedan det togs fram utvecklas och i början av 2000-talet finns den tredje versionen av balanserat styrkort som tillsammans med avancerad teknologi bildar konceptet business performance management. Det innebär att den information som ligger till grund för de rapporter som består av finansiella och icke-finansiella mått hämtas från en central databas i det verksamhetsöverskridande business performance management systemet. En anledning till det är att business performance management knyter samman balanserat styrkort med avancerad teknologi som möjliggör att managers därmed har möjlighet att få tillgång till en gemensam version av verkligheten, det vill säga en gemensam mental bild hur företaget presterar. Dessutom möjliggör den avancerade teknologin att managers oavsett om beslut tas som är strategiska, taktiska eller operativa att de har tillgång till den information som beslutsunderlagen baseras på i rätt tid. Den information som beslutsunderlagen baseras på måste bestå av en tillfredställande god kvalitet för att möjliggöra att managers tar korrekta och optimala beslut. Det är därför av väsentlig betydelse att kvaliteten hos beslutsunderlagen håller en tillfredställande god kvalitet för att undanröja risken att managers inte tar otillfredsställande beslut som sedan innebär onödiga kostnader för företaget. Dessutom möjliggör en tillfredställande god kvalitet hos informationen som beslutsunderlagen baseras på att företagets managers kan ta beslut som leder till att de kan agera mot förändringar som sker i den omgivande företagskontexten. Att förbättra kvaliteten hos den information som ligger till grund för beslutsunderlagen behöver därmed vara något som företag prioriterar så att informationen håller en tillfredställande god kvalitet. Kvalitetsledningsfilosofin total quality management (TQM) har i denna studie används för att ta reda på hur informationskvaliteten hos beslutsunderlagen som tas fram via business performance management kan förbättras. Total quality management tar ett verksamhetsövergripande grepp om hur kvaliteten kan förbättras inom företag. Företag prioriterar ofta inte att förbättra kvaliteten hos den information som de har till sitt förfogande för att ta beslut utan utgår ofta från att informationen är korrekt och om den inte är det så har något fundamentalt fel inträffat. Det leder till att företag ofta i de projekt som de utför förbiser vilken kvalitet informationen har utan använder sina resurser till andra arbetsuppgifter. För att kunna förbättra informationskvaliteten hos beslutsunderlagen behöver kvalitetsförbättringar bli ett prioriterat område inom företag. Företag har större möjlighet att uppnå en tillfredställande god kvalitet hos beslutsunderlagen om företagsledningen tillsätter en kvalitetsansvarig. Den person som blir kvalitetsansvarig tar tag i de stridigheter som behövs för att få tillgång till de nödvändiga resurserna. Denna person stödjer även de projektgrupper som arbetar med att förbättra informationskvaliteten. Det förutsätter att den kvalitetsansvarige har mandat att ta de nödvändiga besluten för att kunna förbättra kvaliteten hos beslutsunderlagen. / During the century of 1990 come Kaplan and Norton with the balance scorecard philosophy. The purpose of this philosophy is to encourage managers to not only take consideration in financial measurements, but also to use both financial and non-financial measurement to manage companies. This concept with balanced scorecard have developed since it's beginning and in the beginning of the 21st century the third version of balanced scorecard developed with advanced technology which established the concept business performance management. This means that the information that the reports builds on have both financial and non-financial measurement which are collected from a central database in the company´s overall business performance management system. One reason to why business performance management ties balanced scorecard with advanced technology is to give managers possibilities to get a common version of reality, this means a common mental picture of how the company performs. Besides the advanced technology render possibilities that give managers, regardless if the decision has been taken at strategic, tactic or operative level, access to information that basic data for decision-making is based on in right time. The information that basic data for decision-making is based on must have a satisfied good quality to enable managers to take correct and optimal decision. It is therefore important that the quality of basic data for decision-making holds a satisfied good quality to remove the risk that managers is taking non-satisfactory decisions that means unnecessary costs for the company. Besides enable a satisfied good quality of the information, which basic data for decision-making is based on, so that managers at companies can take decision that leads them to take action against changes around the company's context. To improve the information quality that basic data for decision-making is based on should be something that companies prioritize so that information holds a satisfied good quality. The quality management philosophy total quality management (TQM) has in this study been used to investigate how information quality in basic data for decision-making can be improved. Total quality management gives a company an overall view of how the quality can be improved in the company. The companies not often prioritize improvement of the information quality that they have to their disposal for taking decision, instead they often assume that information is correct and if it is not there it has occurred a fundamental mistake. This leads to that the companies often in their projects overlook witch quality the information has and use their resources to others working tasks.  Too improve the information quality at basic data for decision-making needs quality improvement be a prioritized area within the companies. Companies have more possibilities to reach a satisfied good quality at the basic data for decision-making if the company management adds a person that is responsible for the quality. The person that will be responsible for the quality takes the necessary fights to get access to the necessary resources. This person even supports the project groups that work with improvement of information quality. To have responsibility for the quality this person has mandate to take the necessary decisions to improve the quality of the basic data for decision-making.

<p>Under 1990-talet kom Kaplan och Norton fram med styrningsfilosofin balanserat styrkort som innebär att managers uppmanas att inte enbart ta hänsyn till finansiella mått utan bör använda sig av både finansiella och icke-finansiella mått för att kunna styra företag. Det här konceptet med balanserat styrkort har sedan det togs fram utvecklas och i början av 2000-talet finns den tredje versionen av balanserat styrkort som tillsammans med avancerad teknologi bildar konceptet business performance management. Det innebär att den information som ligger till grund för de rapporter som består av finansiella och icke-finansiella mått hämtas från en central databas i det verksamhetsöverskridande business performance management systemet. En anledning till det är att business performance management knyter samman balanserat styrkort med avancerad teknologi som möjliggör att managers därmed har möjlighet att få tillgång till en gemensam version av verkligheten, det vill säga en gemensam mental bild hur företaget presterar. Dessutom möjliggör den avancerade teknologin att managers oavsett om beslut tas som är strategiska, taktiska eller operativa att de har tillgång till den information som beslutsunderlagen baseras på i rätt tid.</p><p>Den information som beslutsunderlagen baseras på måste bestå av en tillfredställande god kvalitet för att möjliggöra att managers tar korrekta och optimala beslut. Det är därför av väsentlig betydelse att kvaliteten hos beslutsunderlagen håller en tillfredställande god kvalitet för att undanröja risken att managers inte tar otillfredsställande beslut som sedan innebär onödiga kostnader för företaget. Dessutom möjliggör en tillfredställande god kvalitet hos informationen som beslutsunderlagen baseras på att företagets managers kan ta beslut som leder till att de kan agera mot förändringar som sker i den omgivande företagskontexten. Att förbättra kvaliteten hos den information som ligger till grund för beslutsunderlagen behöver därmed vara något som företag prioriterar så att informationen håller en tillfredställande god kvalitet. Kvalitetsledningsfilosofin total quality management (TQM) har i denna studie används för att ta reda på hur informationskvaliteten hos beslutsunderlagen som tas fram via business performance management kan förbättras. Total quality management tar ett verksamhetsövergripande grepp om hur kvaliteten kan förbättras inom företag.</p><p>Företag prioriterar ofta inte att förbättra kvaliteten hos den information som de har till sitt förfogande för att ta beslut utan utgår ofta från att informationen är korrekt och om den inte är det så har något fundamentalt fel inträffat. Det leder till att företag ofta i de projekt som de utför förbiser vilken kvalitet informationen har utan använder sina resurser till andra arbetsuppgifter. För att kunna förbättra informationskvaliteten hos beslutsunderlagen behöver kvalitetsförbättringar bli ett prioriterat område inom företag. Företag har större möjlighet att uppnå en tillfredställande god kvalitet hos beslutsunderlagen om företagsledningen tillsätter en kvalitetsansvarig. Den person som blir kvalitetsansvarig tar tag i de stridigheter som behövs för att få tillgång till de nödvändiga resurserna. Denna person stödjer även de projektgrupper som arbetar med att förbättra informationskvaliteten. Det förutsätter att den kvalitetsansvarige har mandat att ta de nödvändiga besluten för att kunna förbättra kvaliteten hos beslutsunderlagen.</p> / <p>During the century of 1990 come Kaplan and Norton with the balance scorecard philosophy. The purpose of this philosophy is to encourage managers to not only take consideration in financial measurements, but also to use both financial and non-financial measurement to manage companies. This concept with balanced scorecard have developed since it's beginning and in the beginning of the 21st century the third version of balanced scorecard developed with advanced technology which established the concept business performance management. This means that the information that the reports builds on have both financial and non-financial measurement which are collected from a central database in the company´s overall business performance management system. One reason to why business performance management ties balanced scorecard with advanced technology is to give managers possibilities to get a common version of reality, this means a common mental picture of how the company performs. Besides the advanced technology render possibilities that give managers, regardless if the decision has been taken at strategic, tactic or operative level, access to information that basic data for decision-making is based on in right time.</p><p>The information that basic data for decision-making is based on must have a satisfied good quality to enable managers to take correct and optimal decision. It is therefore important that the quality of basic data for decision-making holds a satisfied good quality to remove the risk that managers is taking non-satisfactory decisions that means unnecessary costs for the company. Besides enable a satisfied good quality of the information, which basic data for decision-making is based on, so that managers at companies can take decision that leads them to take action against changes around the company's context. To improve the information quality that basic data for decision-making is based on should be something that companies prioritize so that information holds a satisfied good quality. The quality management philosophy total quality management (TQM) has in this study been used to investigate how information quality in basic data for decision-making can be improved. Total quality management gives a company an overall view of how the quality can be improved in the company.</p><p>The companies not often prioritize improvement of the information quality that they have to their disposal for taking decision, instead they often assume that information is correct and if it is not there it has occurred a fundamental mistake. This leads to that the companies often in their projects overlook witch quality the information has and use their resources to others working tasks.  Too improve the information quality at basic data for decision-making needs quality improvement be a prioritized area within the companies. Companies have more possibilities to reach a satisfied good quality at the basic data for decision-making if the company management adds a person that is responsible for the quality. The person that will be responsible for the quality takes the necessary fights to get access to the necessary resources. This person even supports the project groups that work with improvement of information quality. To have responsibility for the quality this person has mandate to take the necessary decisions to improve the quality of the basic data for decision-making.</p>