This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.

The thesis aims at design and implementation of a corporate performance management system in retail banking. It proposes a tree of performance metrics based on Dupont pyra-mid model. Using financial as well as non-financial measures, the proposed model manages to link all levels of management together into one shared hierarchy. As a result, the model shows how performance of a single worker adds up to the performance of the company as a whole. The model uses financial metrics such as interest margin, account balance, fees and remuneration cost and links them with non-financial measures such as client worker activities with clients, success rate of marketing campaigns, or client complaints. Implementation of the corporate performance management system is done using regular business intelligence tools. Third normal form data warehouse is the source for all data needed. A datamart on Teradata platform is proposed to hold the SQL transformed data from the data warehouse. Using the datamart a metadata layer in Microstrategy is created to distribute data among users.

This thesis is focusing on problematic concerning funding of delegated powers of a municipality. Nowadays, the delegated powers of a municipality are funded by allowance which bases on calculation of Ministry of the interior. The calculation is derived using a mechanism, reflecting a performance range of delegated powers of a municipality and therefore a total amount of allowance does not take into account actual performance. The Government does not currently have data, which would enable objective managing of funds. This problem has been solved with proposed solution of the analytical instrument, which is meant to be the support for funding. The proposed solution is consisting from four logical parts. First part is aiming on analysis of subject area and creation of strategy map according to concept Balanced Scorecard developed by Kaplan and Norton. Following part is aiming on definition set of key performance indicators and assembling of Balanced Scorecard, which is converted into a multidimensional model by Business Intelligence technologies. Data warehouse provides information to the final consumers as a set of reports created by specialized reporting instruments. Verification of proposed solution is performed by set of three pilot reports, which are designed as a decision support for problematic area. Result of this thesis is mainly verification of applicability of the proposed solution combining management concept BSC and Business Intelligence technology, in order to receive relevant information for effective managing of delegated powers of municipality funding. The final verification of applicability of the proposed solution brings the possibility of using also in other areas.

This thesis occupies with the issue and support of financial consolidation platform CPM (Corporate Performance Management). The aim of this thesis is the creation of tasks related to the lifecycle of the project implementation of CPM solution to support financial consolidation in sufficient detail for the development of a MBI model (Management of Business Informatics). This thesis also occupies with the detailed processing of key activities and links with the existing MBI environment. The theoretical part deals with analysis of the available resources, it describes the process of financial consolidation and CPM platform. The practical part is based on the theoretical knowledge as well as practical knowledge and uses both of them as a basis to processing them into a form, so, they comply with the MBI rules. The added value of this thesis is the creation of new tasks, their key activities and the links to existing MBI content in order to increase the efficiency of the worker, which uses the model. Regarding several tasks, there were created definitions of new applications, documents and metrics for the further development of MBI model.

This Diploma thesis focuses on the alignment of regulatory processes to support corporate performance management in the selected retail company. The main objective is the preparation of process maps that serve as a basis for the implementation of a global standard for automatic exchange of financial account information, developed by the OECD, also called as Common Reporting Standard. Additionally, the partial objectives include analysis of existing forms of content-related processes, creating a methodological support to the created processes and the theoretical concepts of regulatory requirements. The theoretical part focuses on the introduction of concepts related to the corporate management performance and also on theory about specific regulatory regulation used. In the practical part is an analysis of the company through the Balanced Scorecard (BSC), followed by the actual design and process description. The main contribution of the Diploma thesis was to perform process optimization, along with some improvements during the creation of these processes. The company will use the outcomes in practice.

À l’heure où les entreprises, confrontées à de nombreux bouleversements, sont plus que jamais en recherche de performance, et à l’heure où les salariés, dénonçant les conditions de travail et les pratiques managériales, n’ont jamais été aussi demandeurs de bien-être au travail, réconcilier le bien-être des salariés et la performance de l’entreprise est un sujet d’actualité et un enjeu stratégique pour les entreprises.La revue de la littérature et les résultats d’une analyse qualitative exploratoire menée à l’aide d’entretiens semi-directifs auprès de 55 salariés du groupe RESSIF (Réseau des Services Sociaux Interentreprises de France) nous amènent à envisager le « bien-être au travail » et la « performance de l’entreprise » en termes de méta-perspective paradoxale et à proposer des voies de résolution de ce paradoxe organisationnel.Pour ce faire, nous avons mené deux études quantitatives. La première étude est basée sur 5300 observations issues de l’enquête « conditions de travail » du Ministère français du travail. La deuxième est basée sur les réponses de 270 entreprises à un questionnaire en ligne portant sur les pratiques de gestion des ressources humaines.Finalement, nos résultats empiriques concluent que les facteurs permettant de concilier le bien-être au travail et la performance de l’entreprise sont, parmi les conditions de travail, la lutte contre l’intensité et l’insoutenabilité du travail et, parmi les pratiques de ressources humaines, le développement de la participation des salariés aux décisions de l’entreprise, la formation, les promotions et perspectives de carrière et, dans une moindre mesure, l’évaluation de la performance.Pour conclure ce travail, sont présentées les contributions théoriques, méthodologiques et managériales, ainsi que les voies futures de recherche. / At a time when companies, faced with many upheavals, are more than ever in search of performance, and when employees, denouncing working conditions and managerial practices, have never been so demanding of well-being at work, reconciling employee well-being and company performance is a topical issue and a strategic challenge for companies.The literature review and the results of an exploratory qualitative analysis conducted using semi-directive interviews with 55 employees of the RESSIF group (Réseau des Services Sociaux Interentreprises de France) lead us to consider "well-being at work" and "company performance" in terms of paradoxical meta-perspective and to propose ways to resolve this organizational paradox.To do this, we conducted two quantitative studies. The first study is based on 5300 observations from the working conditions survey of the French Ministry of Labor. The second is based on the answers of 270 companies to an online questionnaire on human resources management practices.Finally, our empirical results conclude that the factors that make it possible to reconcile well-being at work and company performance are, among working conditions, the fight against work intensity and unsustainability and, among human resources practices, the development of employee participation in company decisions, training, promotions and career perspectives and, to a lesser extent, performance evaluation.To conclude this work, theoretical, methodological and managerial contributions are presented, as well as future research paths.

... This paper presents a serious game in which players assess digital technologies’ impact on organizational performance and employee well-being, enabling to collect data about intercultural differences between people’s decisions. Serious games are games designed to acquire knowledge or skills through playful applications (Dörner, Göbel, Effelsberg, & Wiemeyer, 2016) but enable to collect data from collective activities while playing the game.Applying the serious game in an educational context, the aims of the serious game are twofold: 1. To educate players about evaluating the impact of technological solutions on multiple objectives of employee well-being and organizational performance. 2. To investigate intercultural diferences in people’s choices between traditional and technological solutions concerning organizational performance and employee well-being. [Aus: Introduction]

The Kaplan and Norton’s (1992) Balanced Scorecard model was designed for Western countries that operate within a capitalist system. African countries differ from Western developed countries in respect of aspects such as their infrastructure, markets and customers, sources of capital, government interventions, literacy levels, and socio-cultural frameworks. Thus, the original Balanced Scorecard model cannot be reconciled fully with an African environment that is more humanist, community-based and socialist in nature. Hence, the study set out to establish whether or not a different understanding or new perspectives on the Balanced Scorecard model were needed and could be conceptualised and developed specifically for organisations in Africa. A structured questionnaire was used for the primary data collection. Exploratory factor analysis and correlation analysis, using SPSS Version 16.0, were employed to identify the four significantly intercorrelated perspectives of the African Balanced Scorecard model which is proposed in this study: (1) the relationships and culture perspective, which looks at an organisation’s continued stakeholder dialogue and relationships; (2) the stakeholder perspective, which looks at the recognition of contributions by individual stakeholders; (3) the value creation perspective, which considers maximum economy, efficiency and effectiveness when creating organisational wealth, and (4) the corporate conscience (resource allocation) perspective, which looks at the equitable allocation of organisational wealth to all stakeholders, especially those that are usually disregarded, such as local communities and the natural environment. The results of the study will facilitate the review and design of better corporate planning and performance measurement systems, the review and design of government and industrial policies and regulations, management consultancies, and will promote and facilitate change in accounting and auditing principles and practices. The study is subject to some limitations, particularly a lack of larger geographic coverage (as only Southern Africa was covered), the limited availability of information from some participants, and the need for further validation of the cause-and-effect relationships between the four perspectives of the proposed African Balanced Scorecard model. / Thesis (PhD)--University of Pretoria, 2011. / Financial Management / unrestricted

PhD. (Department of Business Administration, Faculty of Management Sciences), Vaal University of Technology. / The world over the concept of corporate social responsibility (CSR) has gradually evolved from a theoretical concept to a managerial tool used to shape organisational competitiveness. Thus, this study sought to establish the influence of CSR on reputation and performance in the mining sector in Zimbabwe, given the limited evidence of such studies in the body of knowledge. The framework for data collection, presentation, analysis and interpretation was guided by the positivist paradigm, quantitative approach, and descriptive survey design. With the questionnaire being utilised to collect data from 330 respondents who were purposively and conveniently sampled from the targeted mines. The Cronbach Alpha coefficient was employed to test for the validity and reliability of the designed instrument. In addition, the Pearson’s correlation was used to determine relationships between constructs, while regression analysis was used to predict the reputation value based on causality. In addition, Exploratory Factor Analysis (EFA) was performed to determine the factor structure of the data collected based on the relationship of constructs and items. The analysed data revealed that most respondents, through descriptive statistics, agreed with the construct items except political corporate social responsibility (PCSR), which had the least mean score of (4.7311). This implied that the respondents somewhat agreed PCSR was being observed though at marginal levels. The other constructs stakeholder corporate social responsibility (SCSR), environment corporate social responsibility (ENCSR), ethical corporate social responsibility (ETCSR), and social corporate responsibility (SOCSR) had mean scores above 4, indicating that respondents agreed that CSR was being observed to retain a reputable image. Furthermore, regression analysis revealed that four of the stated hypotheses supported the assumption on SCSR, ETCSR, operational performance (OP), and social performance (SP). Furthermore, the results revealed that PCSR, ENCSR, SOCSR, and economic performance (EP) could not be used to support reputation. The results on the hypotheses statements confirmed the empirical literature assumptions. Thus, partnerships, trust, honesty, disclosure, competitive advantage, operational efficiency, values based on morality, and transparency were confirmed to be by-products of CSR practices. Based on this, it can be argued that mining firms in Zimbabwe could employ CSR as a strategic tool to handle stakeholders’ concerns. In this regard, a theoretical model was crafted for the mining sector in Zimbabwe, which reduced independent variables to two, namely the SCSR and ETCSR. Hence the results established a strong positive association between PSCR, SCSR, SOCSR, ENCSR, ETCSR, and corporate reputation (CR). In addition, corporate performance was seen to have a positive impact on OP and SP. Based on the above results, it is recommended that mining companies in Zimbabwe fully embrace CSR as a vehicle for engaging with stakeholders. More so, CSR programmes should be done in consultation with stakeholders, especially surrounding communities that host or provide an operating environment. Furthermore, mining companies should be wary of the cultural effects of their operations through the crafting and implementation of ethical policies. This can further be enhanced through CSR reporting on CSR initiatives and programmes.

Dagens samhälle genomsyras av olika teknologier som påverkar människan, ekonomin och samhället. Numera besitter verksamheter stora datamängder som behöver registreras och struktureras och detta kan göras med hjälp av ett beslutstödsystem som ger underlag till beslutsfattare. I och med den stora och fortsatt ökade datamängden som behöver registreras och analyseras begränsas människans kognitiva förmåga till att hantera all denna data på egen hand. Som en lösning till denna problematik kan Artificial Intelligence (AI) användas. Syftet med denna forskningsstudie är att undersöka hur AI kan påverka beslutstödsystem inom verksamhetsstyrning. Fokuset grundar sig inom tre aspekter- planering, analys och uppföljning. För att besvara forskningsmålet har en djupare analys genomförts i form av en kvalitativ ansats, där sex deltagare intervjuats. Dessa intervjuer var semistrukturerade och enbart personer med välinsatta kunskaper inom beslutsstödsystem och AI har deltagit. Litteraturstudien, som baseras på tidigare forskning om AI och beslutsstödsystem och hur dessa två fungerar tillsammans, gav en grund för analysering, förklaring och diskussion tillsammans med den empiriska insamlade datan. Med hjälp av den insamlade datan kunde sedan intervjuerna analyseras tematiskt. Resultatet visade att AI:ns förmågor medför fördelar hos verksamheter genom ökadprestanda, effektivisering av strukturerad och ostrukturerad data samt frigör tid hosbeslutsfattare. Baserat på resultatet belystes det att beslutstödsystem kan enbart göra relativt enkla analyser på strukturerad data medan den är begränsad på ostruktureraddata. I samband med detta framhäver resultatet att verksamheter behöver även bearbeta extern information såsom omvärldsbevakningen. På så sätt ger teknologin användarna bästa möjliga beslutsunderlag samt då ett bredare beslutsunderlag tas fram och vidare förbättra planering, analys och uppföljning genom att AI kan analysera och samla in data från olika datakällor. Däremot behöver människan alltid vara närvarande i beslutsfattandet då AI besitter också begränsningar vilket kankompletteras med människan. / In today's society there are various technologies which affect people, the economy and society. Nowadays, businesses have large amounts of data that need to be registered and structured and this can be done with the help of a decision support system that provides information to decision makers. With the large amount of data being established even today, the human cognitive ability is limited to handling allthis data on their own. As a solution to this problem, AI can be used. The purpose of this research study is to investigate how AI can affect decision support systems in operations management. The focus is based on three aspects -planning, analysis and follow-up. In order to answer the research aim, a qualitative approach has been used where six participants were interviewed. These interviews were semi-structured and only people with well-versed knowledge in decision support systems and AI have participated. The literature study, which is based on previous research on AI and decision support systems and how the two work together, provided a basis for analysis, explanation and discussion along with the empirical data collected. As a result of the collected data, the interviews were analyzed thematically. The result showed that AI's capabilities bring benefits to businesses through increased performance, efficiency of structured and unstructured data and frees uptime for decision makers. Based on the results, it was highlighted that decision support systems can only perform relatively simple analyzes on structured data while it is limited on unstructured data. In connection with this, the result highlights that businesses also need to process external information such as monitoring of the environment. In this way, the technology provides users with the best possible basis for decision-making. This is because a broader basis for decision-making is produced and therefore improves planning, analysis and follow-up as AI can analyze and collect data from different data sources. However, the human always needs to be present in the decision-making as AI also has limitations which can be supplemented with the human.