Relevant bibliographies by topics / Business intelligence tool

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Business intelligence tool'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Business intelligence tool"

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Post, Gerald V., and Albert Kagan. "Business Intelligence." International Journal of Business Intelligence Research 3, no. 3 (July 2012): 16–28. http://dx.doi.org/10.4018/jbir.2012070102.

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Data mining and business intelligence tools have been adding features and gaining uses, and statistical tools developed for data mining tasks often require advanced knowledge and training to apply. Development of these selected tools requires tradeoffs in ease of use and power. This study asks users to evaluate the various tools and attributes to identify the relative value of the various components and provide direction for improvements and new tools. Evaluating multi-attribute software is a challenging task, and this study provides a method of evaluating the data and analyzing tradeoffs. A structured equation model (SEM) is applied to the process. Each of the existing tools evaluated have different relative strengths, so it is important to match the organization’s primary tasks to the relative strengths of the tool.
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Tešendić, Danijela, and Danijela Boberić Krstićev. "Business Intelligence in the Service of Libraries." Information Technology and Libraries 38, no. 4 (December 16, 2019): 98–113. http://dx.doi.org/10.6017/ital.v38i4.10599.

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This paper describes implementation of business intelligence tools in the libraries. A complete procedure for building a data warehouse is described on the case study of the BISIS library management system. During development of a data warehouse model, user requirements about reporting are detected and structure of already existing transactional databases in the BISIS system is analysed. Based on this analysis, three data warehouse models have been proposed that would satisfy the requirements for analytical processing of data. The paper presents the usage of one OLAP tool, but the proposed data warehouse model is independent of the choice of OLAP tools and any other tool can be integrated with the proposed data warehouse.
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Banica, Logica, Liviu Cristian Stefan, and Mariana Jurian. "Business Intelligence For Educational Purpose." Balkan Region Conference on Engineering and Business Education 1, no. 1 (August 15, 2014): 333–38. http://dx.doi.org/10.2478/cplbu-2014-0049.

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AbstractThe paper follows three main directions: business intelligence – as a software tool, companies – as an application field and top management – as target of intelligent efforts. From this symbiosis does result an advantage, scientific and data based educational tool, having the goal to give the students a tool to explore data collections and analysis methods in order to improve the management of a company and forecast its evolution. The purpose of Business Intelligence (BI) software is to help the firms on acquiring knowledge about highlights and dangerous trends, to observe the connections and to forecast the future market evolutions. From this perspective, we consider that students need to learn theory and practical application about BI. After an overview of the BI main concepts, we choose to use the facilities of Jaspersoft BI software; to model the most frequently used analysis requirements, displaying the most relevant data and key indicators, following the steps of a BI system.
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Ernanto, Frenda. "PEMANFAATAN BUSINESS INTELLIGENCE SIMPONI DALAM MEMONITOR REALISASI PENERIMAAN NEGARA BUKAN PAJAK." JURNAL MANAJEMEN KEUANGAN PUBLIK 2, no. 1 (December 27, 2018): 47–55. http://dx.doi.org/10.31092/jmkp.v2i1.205.

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Business Intelligence development based on Sistem Informasi PNBP Online (SIMPONI) database offers several advantages, especially in fast and easy monitoring of Non-Tax Revenue realization. This study aims to elaborate the importance of Business Intelligence and its data accuracy compared to Ministry/Agency report of Non-Tax Revenue. The result finds that Business Intelligence is a powerfull tool in presenting Non-Tax Revenue data. However, if there are some corrections in the revenue data, the Business Intelligence data must be adjusted to maintain its accuracy. Pengembangan Business Intelligence yang bersumber dari data Sistem Informasi PNBP Online (SIMPONI) menawarkan beberapa keunggulan, terutama dalam memonitor realisasi Penerimaan Negara Bukan Pajak secara cepat dan mudah. Penelitian ini bertujuan untuk mengelaborasi pemanfaatan Business Intelligence dan tingkat akurasinya dalam menyajikan data PNBP dibandingkan dengan laporan yang disampaikan Kementerian/Lembaga. Hasil penelitian menunjukkan Businness Intelligence merupakan tools yang sangat berguna dalam menyajikan data realisasi PNBP. Namun demikian, dalam hal terdapat koreksi data, perlu dilakukan penyesuaian pada data Business Intelligence
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McBride, Neil. "Virtuous Business Intelligence." International Journal of Business Intelligence Research 6, no. 2 (July 2015): 1–17. http://dx.doi.org/10.4018/ijbir.2015070101.

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This paper examines three approaches to ethics and focuses on the development of character and the practice of virtue in business intelligence (BI). The paper describes BI as a tool for mediating the relationships between pairs of stakeholders such as management and customer. Three aspects of the relationship which benefit ethically from the practice of virtues are discussed: the purpose of the BI, the prejudices behind the BI and the power of the stakeholders. The connection between the ethics of BI and the corporate ethics is discussed. Without the practice of virtues, BI may be recruited to support corporate vices of exploitation, exposure, exclusion, coercion, control and concealment. The paper seeks to highlight the importance of ethical issues in BI practice and suggests the development of an ethical balanced scorecard as a vehicle for developing ethical senstitivity.
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Ul Haq, Muh Zia, and Suharjito Suharjito. "Usability Analysis of Business Intelligence Tool Based Table Virtualization." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (February 1, 2018): 431. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp431-437.

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<p>The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. </p>
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Asaul, V. V., and A. I. Taranov. "Business intelligence as a tool to increase organization's competitiveness." Вестник гражданских инженеров 17, no. 6 (2020): 214–19. http://dx.doi.org/10.23968/1999-5571-2020-17-6-214-219.

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The constant development of the economy leads to the need for more sophisticated and effective tools that would help organizations adapt to new market changes and maintain a competitive environment. In addition, business intelligence can serve as a tool to increase the organization’s competitiveness. Business intelligence also serves as one of the ways to get complete information about the state of the organization, as well as the company's competitors in the market and the level of interaction with customers. The article analyzes modern legislation, identifies problems in the field of business intelligence. The ways to solve these problems are offered, the use of business intelligence system to improve the organization’s competitiveness is proposed.
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Brink, James R. "Using Artificial Intelligence as a Strategic Business Tool." JOM 40, no. 2 (February 1988): 51. http://dx.doi.org/10.1007/bf03258838.

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Kultygin, Oleg P., and Irina Lokhtina. "Business intelligence as a decision support system tool." Journal of Applied Informatics 16, no. 91 (February 26, 2021): 52–58. http://dx.doi.org/10.37791/2687-0649-2021-16-1-52-58.

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The relevance of the topic considered in the article is to solve the problems of designing management decision support systems for enterprises based on business analytics technology. The research purpose is to analyze the applied methodologies during the design stage of the enterprise information system, to develop principles for using management decision support systems based on business intelligence. The problem statement is to analyze the technologies available on the market, which deal with business analyst systems, their potential use for decision support systems, and to identify the main stages of business analyst for enterprises. Business intelligence (BI) is information that can be obtained from data contained in the operational systems of a firm, enterprise, corporation, or from external sources. The BI can help the management of a company make the best decision in the chosen sphere of human activity faster, and, consequently, win the competition in the market for goods and services. A decision support system (DSS) which uses business intelligence, is an automated structure designed to assist professionals in making decisions in a complex environment and to objectively analyze a subject area. The decision support system is the result of the integration of management information systems and database management systems (DBMS). The internal development of BI is more cost-effective. The methods used are Structured Analysis and Design Technique and Object-oriented methods. The results of the research: the analysis of the possibilities was conducted and recommendations relating to the use of BI within DSS were given. Competition between BI software in business analysts reduces the cost of products created making them accessible to end-users – producers, traders and corporations.
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Soszka, Mgr Kamil. "Business Intelligence in managing modern enterprises." Kwartalnik Nauk o Przedsiębiorstwie 47, no. 2 (September 12, 2018): 64–71. http://dx.doi.org/10.5604/01.3001.0012.4730.

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In the operation of enterprises, information has always played a vital role, as it is the basis on which the decisions are made and the view regarding the upcoming events is shaped. The tool that allows for obtaining comprehensive information on the operation of a com-pany is the Business Intelligence (BI) system. Based on the results of his own qualitative research, the Author discusses the essence of BI in managing modern enterprises. He in-dicates the places where the application of this tool is most useful.
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Dissertations / Theses on the topic "Business intelligence tool"

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Thomas, David Jordan. "Competitive intelligence, a self diagnostic tool applied in the telecom industry." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0017/MQ58512.pdf.

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Miller, Stephen. "Gamification of a business intelligence tool: an evaluation of user engagement scale." Thesis, University of the West of Scotland, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736948.

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Sakulsorn, Pattaravadee. "In-memory Business Intelligence : Verifying its Benefits against Conventional Approaches." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-128449.

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Business intelligence project failures in organizations derive from various causes. Technological aspects regarding the use of business intelligence tools expose the problem of too complicated tool for operational users, lack of system scalability, dissatisfied software performance, and hard coded business requirements on the tools. This study was conducted in order to validate in-memory business intelligence advantages towards functionality, flexibility, performance, ease of use, and ease of development criteria. A case study research method had been applied to achieve the goals in this thesis. Primarily, a pilot study was carried out to collect the data both from literatures and interviews. Therefore, the design of test case had been developed. Types of testing can be divided into 2 categories: BI functionality test and performance test. The test results reveal that in-memory business intelligence enhances conventional business intelligence performance by improving the software’s loading time and response time. At the meantime, it was proved to be flexible than rule-based, query-based, and OLAP tools, whereas its functionality and ease of development were justified to be better than query-based system. Moreover, in-memory business intelligence provides a better ease of use over query-based and rule-based business intelligence tools. Pair wise comparisons and analyses between selected in-memory business intelligence tool, QlikView, and conventional business intelligence software, Cognos, SAS, and STB Reporter, from 3 banks were made in this study based on the aforementioned test results.
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Lowe, Gerald C. "The Underutilized Tool of Project Management - Emotional Intelligence." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7851.

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Previous research has typically focused on singular attributes that impact a leader’s effectiveness. This study, instead, looks at whether emotional intelligence moderates the anticipated negative effect of distributed presence on engagement and influence, and ultimately, leader effectiveness. Buttressed by emotional intelligence, engagement, and influence theories, the research question focused on how emotional intelligence skills moderate the impact of a project manager’s distributed presence to render the leader effective. The study sample for this research came from voluntary participants who work for a U.S. government agency comprising leaders co-located with their teams and distributed presence leaders. Descriptive statistics showed that leaders with higher emotional intelligence (EI) were more engaging and influential than co-located leaders with high EI. Regression analyses indicated greatest significance between the dependent variables—engagement and influence—and the independent variables of distributed presence and emotional intelligence when using emotional intelligence branches and tasks for the EI variables. Data from this study showed distributed presence leaders with high emotional intelligence abilities effect engagement and influence positively. The work of this research advances insights into how emotional intelligence effects, positively, project leader engagement and influence when the project manager’s presence is distributed. The data rendered by this research was informative but only to a limited degree because results were not sufficiently expansive. Nonetheless, the application of this study applies to the practical world as distributed teams seems to be a more permanent part of the business landscape than temporary, and learning how to better work as a project manager with distributed presence is essential for both organizations and project managers.
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Torres, Russell. "Organizational Competency Through Information: Business Intelligence and Analytics as a Tool for Process Dynamization." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804918/.

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The data produced and collected by organizations represents both challenges and opportunities for the modern firm. Business intelligence and analytics (BI&A) comprises a wide variety of information management technologies and information seeking activities designed to exploit these information resources. As a result, BI&A has been heralded as a source of improved organizational outcomes in both the academic and practitioner literature, and these technologies are among the largest continuous IT expenditures made over the last decade.Despite the interest in BI&A, there is not enough theorizing about its role in improving firm performance. Scholarly investigations of the link between BI&A and organizational benefits are scarce and primarily exploratory in nature. Further, the majority of the extant research on BI&A is techno-centric, conceptualizing BI&A primarily an organizational technical asset. This study seeks to explicate the relationship between BI&A and improved organizational outcomes by viewing this phenomenon through the lens of dynamic capabilities, a promising theoretical perspective from the strategic management discipline. In so doing, this research reframes BI&A as an organizational capability, rather than simply a technical resource. Guided by a comprehensive review of the BI&A and dynamic capabilities literature, as well as a series of semi-structured focus groups with senior-level business practitioners with BI&A experience, this study develops and tests a model of BI&A enabled firm performance. Using a snowball sample, an online survey was administered to 137 business professionals in 24 industries. The data were analyzed using partial least squares (PLS) structural equation modeling (SEM). The findings support the contention that BI&A serve as the sensing and seizing components of an organizational dynamic capability, while transformation is achieved through business process change capability. These factors influence firm financial performance through their impact on the functional performance of the firm’s business processes. Further, this study demonstrates that traditional BI&A success factors are positively associated with BI&A sensing capability. This study makes several important contributions to BI&A research. First, this study addresses a gap in the scholarly literature by establishing a theoretical framework for the role of BI&A in achieving firm performance which is grounded in an established strategic management theory. Second, by drawing on the sense-seize-transform view of dynamic capabilities, this dissertation proposes a new conceptualization of BI&A as sensing and seizing organizational capabilities. Third, this research links the use of BI&A to improved organizational outcomes through the transformation of business processes, consistent with the view that the value of IT is derived from its impact on the value generating processes of the firm. Fourth, by viewing BI&A and business process change as distinct but inter-related components of dynamic capabilities, this research clarifies the role of BI&A in the dynamization of organizational processes, providing insight into the relationship between BI&A and business agility. Finally, this dissertation shows how BI&A capabilities are related to BI&A success factors identified in prior research.
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Wu, Xue. "Can Google Earth enhance Business Intelligence? : Exploring innovative uses of a new GIS tool." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1639.

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We are facing a period that coming into information time, which forced us to live in a new living style. It seems that every business movement is related with information transformation. When computers are used to deal with business data, we begin to search a way to make digital data into refined format information in order to let people to understand. This change results in a changing of business forms. For example, e-services refer to provide a certain service or play function on line, which has the tendency to replace the place of traditional service. How this kind of service can be developed remains a question mark to us.

The challenge of e-service is how to get different functions into integration. This thesis begins to research it focusing the point view of GIS (Geography Information System). Take Google earth as an example to illustrate how GIS is being used and what possible future uses of it can be developed. By exploring its use in data collecting, and analyzing, the possible applications in business world can be obviously released.

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Schmied, Marten. "Business Intelligence in Healthcare - Data Mining Techniques as a Possible Hospital Management Tool in Austria." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264283.

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Public healthcare provision is under increasing economic restraints making an efficient and sustainable managerial planning a necessity in the hospital sector. Business Intelligence is the extraction of business relevant knowledge in order to adjust and refine executive operations. On the free market industries have applied the according methods and software dedicated to the generation of Business Intelligence is offered by variety of companies. Data Mining, furthermore, describes the facilitation of algorithms in order to train programs to detect unseen patterns from huge amounts of data. Therefore mining techniques are suitable for adding to the business relevant knowledge, particularly as they can produce more accurate predictions. The thesis examined the status of Information Technology normally utilized in Austrian hospitals and simultaneously identified studies that apply Data Mining to a Hospital Information System to gain Business Intelligence. While the general level of Austrian Hospital Information Systems is well sophisticated, common challenges are present in a separation between clinical and administrative systems and their interfaces. For the Data Mining a majority of studies aims at medical improvements. Some applications were found to have good business relevant prospects but their feasible introduction into the practice needs additional fostering.
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Klaesson, Mårten. "Exploring factors that decides on how a Business Intelligence tool is being received by its users." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-417292.

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Self-Service Business Intelligence (SSBI) is a service where users can create reports andanalyze data on their own. It is an approach to decentralize competence and knowledge withina company. It has been proven to increase productivity and provide employees with morepossibilities to make smart data-driven decisions. I decided to do this project to learn moreabout SSBI and specifically explore what factors that contributes to the user experience ofworking with SSBI. With the help of a survey I was able to reach out to the employees at IfP&C Insurance.I asked how satisfied they were with the SSBI solution at the company, how theyexperienced loading times, how active they were and if SSBI brought value to their day to daywork among many other questions. The data from the survey was analyzed looking at trendsand correlation between answers to identify what parts employees were pleased with and theparts that needs more attention. This was done with the help of Decision Trees, correlationmatrices and extensive graph comparisons. The results managed to answer my scientificquestion rather well. It shows that most employees find that working with SSBI at If P&CInsurance is an enjoyable experience and they believe that it adds real value to their work.There is an interest in further education in Tableau, which is the SSBI software being used atIf P&C Insurance. A fact that shows that employees are eager to learn more, but also that theavailable education at the company has not reached out to all employees. There is also a majorissue with loading times when browsing reports. Users that experiences that loading times areslow or very slow are also overrepresented in the group that is not pleased with the software.The issue with slow loading times has two solutions that I recommend to the company: • Educate employees to create reports that require as low processing power as possibleto browse. This is something that a few employees asked for specifically. • Increase the capacity on their servers. As using Tableau and creating reports hasbecome more and more popular at the company, the servers have not been updated inthe same pace, creating long delays when browsing and working with reports. In general, I think If P&C Insurance has created a functioning environment for SSBI and ifthey address the few issues I have mentioned they will have a thriving Tableau communitywithin the company.
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Twum, Amoako Benjamin. "The importance of Business Intelligence as a decision-making tool : case study electricity company of Ghana (E.C.G)." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17652.

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Demand and technology are driving competition to its best if not to the edge, blurring the industrial boundaries and resulting in a substantial re-arrangement of businesses. The advancement in information technology has also made it possible for organisations to hoard large volumes of data from multiple sources through their business processes. To remain competitive in the face of these changing times and fierce competition, a tool is needed which has the capability to allow a holistic view of the operating environment of the organisation, by taking advantage of the huge body of accumulated data and thereby allowing decision makers to be spontaneous with their decision-making.Business Intelligence offers these capabilities and more, for instance the possibility to perform analytics operations about event(s) that demands more clarity on their behaviour.Research in this area, though young, is gradually gaining attention in academia, although still scanty in Africa. This thesis investigates if the adaptation of Business Intelligence (BI) systems can help in an organisation's strategic decision-making in the context of the Electricity Company of Ghana (E.C.G), operating in the utility industry in Ghana.A qualitative approach, employing interviews with seven selected managers at E.C.G was adopted. The results indicate that BI, or a similar system, has never been adapted by E.C.G, though the company creates huge data through its operations. Further, the organisation's information system is not linked together to allow possible discovery of some intelligence that would be worthwhile to influence strategic decisions. The dispersed nature of the current systems is not only causing delays in quest of information from other departments, but also affecting decision-making and progress of work. E.C.G is a prime candidate for the adaptation of BI to leverage on its huge data and also/additionally reduce production waste and costs and to help provide an efficient supply of electricity to its customers. Such a tool would prove to be indispensable.
Program: Masterutbildning i Informatik
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Josimovic, Aleksandra. "AI as a Radical or Incremental Technology Tool Innovation." Thesis, KTH, Industriell Management, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230603.

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As researchers found that throughout the history a common challenge for companies across different industries, when it comes to leveraging and capturing value from a technology innovation is strongly influenced by the company’s dominant business model, an established framework through which assessment takes place. The overall purpose of this study is to provide a deeper understanding of the role that company's dominant business model has on the assessment of the impact that new technology innovation, in this case, AI, will have on the company and the market on which company operates. This thesis is partially exploratory and partially descriptive with a qualitative and deductive nature. In order to answer the purpose, a research strategy of case studies was used where empirical data was collected from interviews held with 47 company’s top executives from different hierarchical levels and business units, from Sweden, Switzerland, the USA, Germany, and Finland. The theoretical framework that describes the how AI as a new technology tool is perceived from the Company X perspective, either as a radical, game changer, or an incremental innovation technology tool and examines the role that dominant business model has on this perception was created. The developed implementation framework had its foundation in previous research concerning innovation business model theories. The data that was collected from the company’s executives were then analyzed and compared to the model. The most significant findings suggest that AI as a new technology tool is perceived as a game changer, radical innovation tool for some areas within the Company X and that the company dominant business model profoundly influences this perception.
Som forskare fann att genom hela historien är en gemensam utmaning för företag inom olika branscher när det gäller att utnyttja och fånga värde från en teknologisk innovation starkt påverkad av företagets dominerande affärsmodell, en etablerad ram genom vilken bedömning sker. Det övergripande syftet med denna studie är att ge en djupare förståelse för den roll som företagets dominerande affärsmodell har vid bedömningen av den inverkan som ny teknik innovation, i detta fall AI, kommer att ha på företaget och marknaden där företaget driver . Denna avhandling är delvis undersökande och delvis beskrivande med kvalitativ och deduktiv natur. För att svara på målet användes en forskningsstrategi av fallstudier där empiriska data samlades in från intervjuer med 47 bolagets ledande befattningshavare från olika hierarkiska nivåer och affärsenheter, från Sverige, Schweiz, USA, Tyskland och Finland. Den teoretiska ram som beskriver hur AI som ett nytt teknikverktyg uppfattas ur företagets Xperspektiv, antingen som en radikal, spelväxlare eller ett inkrementellt innovationsteknologiprogram och undersöker den roll som dominerande affärsmodell har på denna uppfattning skapades. Den utvecklade implementeringsramen har grundat sig i tidigare forskning rörande innovationsmodellteorier. Data som samlades in från företagets chefer analyserades sedan och jämfördes med modellen. De viktigaste resultaten tyder på att AI som ett nytt teknikverktyg uppfattas som en spelväxlare, radikalt innovationsverktyg för vissa områden inom företaget X och att företagets dominerande affärsmodell påverkar denna uppfattning väsentligt.
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Books on the topic "Business intelligence tool"

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Tamar, Gilad, ed. The business intelligence system: A new tool for competitive advantage. New York, NY: American Management Association, 1988.

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Nogués, Albert, and Juan Valladares. Business Intelligence Tools for Small Companies. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2568-4.

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Fuld & Co. CI strategies & tools: I3 : Internet intelligence index. Cambridge, Mass: Fuld & Co., 1996.

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Business intelligence success factors: Tools for aligning your business in the global economy. Hoboken, N.J: Wiley & Sons, 2009.

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Segil, Larraine. Intelligent business alliances: How to profit using today's most important strategic tool. London: Random, 1996.

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Segil, Larraine. Intelligent business alliances: How to profit using today's most important strategic tool. New York: Times Business, 1996.

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Weston, Diane McGinty. Managing competitive intelligence: Techniques and tools for effectively analyzing the competitive environment. Menlo Park, Calif: SRI International, Business Intelligence Program, 1985.

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Bensoussan, Babette E. Anaysis without paralysis: 12 tools to make better strategic decisions. 2nd ed. Upper Saddle River, N.J: FT Press, 2013.

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Mike, Barley, and Kasabov Nikola K, eds. Intelligent agents and multi-agent systems: 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004, Auckland, New Zealand, August 8-13, 2004 ; revised selected papers. Berlin: Springer, 2005.

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Intelligent agent software engineering. Hershey, PA: Idea Group Pub., 2003.

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Book chapters on the topic "Business intelligence tool"

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Wu, Jia, and Miklos Vasarhelyi. "XBRL: A New Tool For Electronic Financial Reporting." In Business Intelligence Techniques, 73–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24700-5_5.

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Annapurani, K., E. Poovammal, C. Ruvinga, and Ibrahim Venkat. "Healthcare Data Analytics Using Business Intelligence Tool." In Machine Learning and Analytics in Healthcare Systems, 191–212. First editlion. | Boca Raton : CRC Press, 2021. | Series: Green engineering and technology: concepts and applications: CRC Press, 2021. http://dx.doi.org/10.1201/9781003185246-10.

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Hoerstebrock, Tim, Axel Hahn, and Jürgen Sauer. "Tool Based Assessment of Electromobility in Urban Logistics." In Soft Computing for Business Intelligence, 379–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53737-0_25.

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Sosnina, Ekaterina P., and Natalia N. Starostina. "Critical Thinking Development Model as a Tool to Teach Business English Effectively." In Business Intelligence and Modelling, 379–85. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57065-1_38.

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López, Vivian F., Noel Alonso, María N. Moreno, and Gabriel V. González. "A Tool for Data Mining in the Efficient Portfolio Management." In Soft Computing for Business Intelligence, 211–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53737-0_15.

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Porfírio, José António, and João Correia dos Santos. "Business Intelligence as a Service - Strategic Tool for Competitiveness." In Communications in Computer and Information Science, 106–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24358-5_11.

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Nalepa, Grzegorz J., Krzysztof Kluza, and Krzysztof Kaczor. "SBVRwiki a Web-Based Tool for Authoring of Business Rules." In Artificial Intelligence and Soft Computing, 703–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19369-4_62.

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Constantinides, Efthymios, Carlota Lorenzo-Romero, and María-del-Carmen Alarcón-del-Amo. "Social Networking Sites as Business Tool: A Study of User Behavior." In Studies in Computational Intelligence, 221–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28409-0_9.

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Schlögl, Stephan, Claudia Postulka, Reinhard Bernsteiner, and Christian Ploder. "Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears." In Communications in Computer and Information Science, 259–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21451-7_22.

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Meschino, Gustavo J., Marcela Nabte, Sebastián Gesualdo, Adrián Monjeau, and Lucía I. Passoni. "Fuzzy Tree Studio: A Tool for the Design of the Scorecard for the Management of Protected Areas." In Soft Computing for Business Intelligence, 99–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53737-0_6.

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Conference papers on the topic "Business intelligence tool"

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Ashok, Harishma, S. Ayyasamy, Amarnath Ashok, and Vigneshkumar Arunachalam. "E-business Analytics through ETL and Self-Service Business Intelligence Tool." In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2020. http://dx.doi.org/10.1109/icirca48905.2020.9183336.

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Samarasinghe, Rohan, Gayathma Perera, Nadeesha Perera, Pathum Senaratna, and Lakshan Samarasingha. "People clues: Business intelligence tool for team dynamics." In 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2017. http://dx.doi.org/10.1109/icter.2017.8257809.

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Nagai, Akihiko, Tatsunosuke Tsuboi, and Takayuki Ito. "Prototype of New Business Process Visualization Tool." In 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2012. http://dx.doi.org/10.1109/wi-iat.2012.118.

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Chuah, Min Hooi, and Kee-Luen Wong. "Web Based Enterprise Business Intelligence Maturity (EBI2M) Assessment Tool." In 2014 International Conference on IT Convergence and Security (ICITCS). IEEE, 2014. http://dx.doi.org/10.1109/icitcs.2014.7021827.

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Sajjad, B., A. Mir, A. Khawar, F. Bashir, and A. Tariq. "An open source service oriented Mobile Business Intelligence Tool (MBIT)." In 2009 International Conference on Information and Communication Technologies (ICICT). IEEE, 2009. http://dx.doi.org/10.1109/icict.2009.5267184.

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de Barros, Adriano Soares, and Fernando Celso de Campos. "A Business Intelligence tool implementation to support in automotive industry." In 2006 SAE Brasil Congress and Exhibit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2558.

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Jun, Tang, Cui Kai, Feng Yu, and Tong Gang. "The Research & Application of ETL Tool in Business Intelligence Project." In 2009 International Forum on Information Technology and Applications (IFITA). IEEE, 2009. http://dx.doi.org/10.1109/ifita.2009.48.

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Myllärniemi, Jussi, Nina Helander, Pasi Hellsten, Tommi Mahlamäki, and Santeri Repo. "BUSINESS INTELLIGENCE APPROACH – A PRACTICAL TOOL FOR COMPETENCE BASED CURRICULUM DEVELOPMENT." In International Conference on Education and New Learning Technologies. IATED, 2017. http://dx.doi.org/10.21125/edulearn.2017.2451.

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Lorenzo-Romero, Carlota, Juan M. Carro-Rodríguez, and Miguel-Ángel Gómez-Borja. "Historical query data as business intelligence tool on an internationalization contex." In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8361.

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Wu, J. Y., and L. T. Chen. "Odoo ERP with Business Intelligence Tool for a Small-Medium Enterprise." In IC4E 2020: 2020 the 11th International Conference on E-Education, E-Business, E-Management, and E-Learning. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377571.3377607.

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