Relevant bibliographies by topics / Business intelligence Information resources

Academic literature on the topic 'Business intelligence Information resources'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Business intelligence Information resources"

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Sousa, Maria José, and Ivo Dias. "Business Intelligence for Human Capital Management." International Journal of Business Intelligence Research 11, no. 1 (January 2020): 38–49. http://dx.doi.org/10.4018/ijbir.2020010103.

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This article presents the results of an exploratory study of the use of business intelligence (BI) tools to help to make decisions about human resources management in Portuguese organizations. The purpose of this article is to analyze the effective use of BI tools in integrating reports, analytics, dashboards, and metrics, which impacts on the decision making the process of human resource managers. The methodology approach was quantitative based on the results of a survey to 43 human resource managers and technicians. The data analysis technique was correlation coefficient and regression analysis performed by IBM SPSS software. It was also applied qualitative analysis based on a focus group to identify the impacts of business intelligence on the human resources strategies of Portuguese companies. The findings of this study are that: business intelligence is positively associated with HRM decision-making, and business intelligence will significantly predict HRM decision making. The research also examines the process of the information gathered with BI tools from the human resources information system on the decisions of the human resources managers and that impacts the performance of the organizations. The study also gives indications about the practices and gaps, both in terms of human resources management and in processes related to business intelligence (BI) tools. It points out the different factors that must work together to facilitate effective decision-making. The article is structured as follows: a literature review concerning the use of the business intelligence concept and tools and the link between BI and human resources management, methodology, and the main findings and conclusions.
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Tofan, Dragoş Ovidiu. "Business Intelligence Security." Review of Economic and Business Studies 9, no. 1 (June 1, 2016): 157–69. http://dx.doi.org/10.1515/rebs-2016-0030.

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AbstractExcess information characteristic to the current environment leads to the need for a change of the organizations’ perspective and strategy not only through the raw data processing, but also in terms of existing applications generating new information. The overwhelming evolution of digital technologies and web changes led to the adoption of new and adapted internal policies and the emergence of regulations at level of governments or different social organisms. Information security risks arising from the current dynamics demand fast solutions linked to hardware, software and also to education of human resources. Business Intelligence (BI) solutions have their specific evolution in order to bring their contribution to ensure the protection of data through specific components (Big Data, cloud, analytics). The current trend of development of BI applications on mobile devices brings with it a number of shortcomings related to information security and require additional protective measure regarding flows, specific processing and data storage.
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Foshay, Neil, Todd Boyle, and Jacob Mather. "A Hierarchy of Metadata Elements for Business Intelligence Information Resource Retrieval." International Journal of Business Intelligence Research 4, no. 4 (October 2013): 33–44. http://dx.doi.org/10.4018/ijbir.2013100103.

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Effectively managing information resources is an important activity contributing to the competitive advantage of modern organizations. Organizational knowledge workers must be able to search for pertinent information quickly and effectively. This research identifies the relative usefulness of the metadata elements associated with the Dublin Core metadata standard for the effective retrieval of three different information resources – structured business intelligence reports, structured spreadsheet reports, and unstructured reports in formats such as Word and PowerPoint. A survey of knowledge workers was conducted to determine the relative usefulness of the metadata elements for each of the three information resources and to develop a framework outlining where metadata tag requirements differ between such resources. Overall, the study and resulting framework emphasize the need for system developers and database management personnel to be cognizant of the type of information resources being used, and ensure that search metadata elements that are appropriate for these specific resources are in place.
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Muñoz-Cañavate, Antonio, and Pedro Hípola. "International Intelligence in Spain: An Approach to Information Resources for Business." Journal of Business & Finance Librarianship 20, no. 4 (October 2, 2015): 302–17. http://dx.doi.org/10.1080/08963568.2015.1072894.

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Senik, Zizah Che, and Ridzuan Md. Sham. "SME Internationalization Intelligence Information and Knowledge on International Opportunities." Gadjah Mada International Journal of Business 13, no. 2 (December 1, 2014): 161. http://dx.doi.org/10.22146/gamaijb.5489.

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Small and medium enterprises (SMEs) internationalization intelligence, referring to the process of gathering information and knowledge on international opportunities, is crucial to initiate SMEs’ internationalization. The literature has stressed organizational resources, networks and information sharing as means to acquire internationalization intelligence, suggesting that the resource-based, network and social capital perspectives can be adopted to explore this issue. However, previous literature still lacks evidence on how SMEs acquire relevant intelligence, and who or what are involved with the process. To address this lack of evidence, we interviewed 54 SME owners/key personnel in the manufacturing sector to: identify sources of internationalization intelligence; examine how those sources assist SMEs to internationalize; and develop propositions on internationalization intelligence. Analyzing the data using NVivo, four themes emerged including institutions, business associates, personal efforts, and other means. The analysis suggests internationalization intelligence occurs mainly through the networks of the SME owners/key personnel, built on their firm’s resources through their internal and external information sharing activities, indicating the need of the SMEs to position themselves in their environments. These findings are developed into propositions. The study indicates multiple perspectives in conceptualizing the process of internationalization intelligence. This study advances a conceptualization of internationalization intelligence, and offers avenues for future research.
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Ahmadzai, Abdul Shabir, Qurban Yazdani, and Adamu Abubakar. "Analysis of Business Intelligence Systems Transmission Session." Journal of Science and Technology 27, no. 1 (December 6, 2022): 16–28. http://dx.doi.org/10.20428/jst.v27i1.1984.

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Information and Communication Technology (ICT) is the central part of Intelligent systems. Business Intelligence (BI) utilizes ICT resources and capabilities to enhance decision-making from the available information. One of the core components of ICT resources is the network. Hypertext Transfer Protocol (HTTP) is an application layer protocol in a network model responsible for handling "requests" in a transmission session. Transmission Control Protocol (TCP) establishes connections session and keeps track of the state of the communication session. Unfortunately, a request from a critical online transaction over TCP in a BI environment is bound to face some uncertainty. There is a lack of studies on the impact of communication over transmission sessions on BI operations. This paper presented an experimental evaluation of the BI transaction transmission session. Various transactions were performed to monitor and analyze the request made with HTTP over a TCP transmission session. Both the HTTP and TCP features for all transactions were captured. The finding indicates that time is highly associated with less traffic congestion and transaction overhead.
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Carson, Grace, Christina O'Connor, and Geoff Simmons. "The crucial role of market intelligence in the development of small business marketing capabilities." Journal of Small Business and Enterprise Development 27, no. 5 (June 19, 2020): 797–816. http://dx.doi.org/10.1108/jsbed-12-2019-0394.

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PurposeDrawing on the resource-based view of the firm, this article explores the influences of market intelligence on the development of small business marketing capabilities, with reference to specialized marketing capabilities, architectural marketing capabilities and dynamic capabilities.Design/methodology/approachThe conceptual framework and propositions present and interpret the resource–capability complementarity between market intelligence and small business marketing capabilities and outline the relationship between individual capability sets.FindingsMarket intelligence is shown to be crucial in the development of small business marketing capabilities and in the implementation of more formalized marketing strategies that allow small businesses to create value for customers and improve their performance. However, the level to which market intelligence is utilized and marketing capabilities are developed is found to be considerably influenced by the small business owner-manager and firm learning.Practical implicationsIt is imperative that small businesses acknowledge the practical benefits of market intelligence and harness these advantages accordingly. However, owner-managers must be motivated to encourage the development of more formalized marketing capabilities and act incisively upon the information derived from market intelligence.Originality/valueRecent research indicates that market intelligence and marketing capabilities can interact to enable a firm to align its resources with the market, by providing customer insights that guide them as to which value-adding activities they should implement. However, extant research in this area remains in its infancy, and very little is known about the adoption processes of market intelligence in small businesses and its role in developing marketing capabilities.
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KULVATUNYOU, BOONSERM, NENAD IVEZIC, RICHARD A. WYSK, and ALBERT JONES. "Integrated product and process data for business to business collaboration." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 17, no. 3 (August 2003): 253–70. http://dx.doi.org/10.1017/s0890060403173076.

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Collaborative development of engineered products in a business to business (B2B) environment requires more than the selection of components from an on-line catalogue. It involves the electronic exchange of product, process, and production engineering information during both design and manufacturing. Although the state of the practice does include a variety of ways to exchange product data electronically, it does not extend to the exchange of manufacturing process data. The reason is simple: process data are usually tied to specific manufacturing resources. These resources are not known typically at product development time. This paper proposes an approach called integrated product and process data, in which manufacturing process data are considered during product development. This approach replaces traditional process plans, which are resource specific, with a resource-independent process representation. Such a representation will allow a much wider collaboration among business partners and provide the necessary base for collaborative product development.
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Kapoor, Bhushan, and Joseph Sherif. "Human resources in an enriched environment of business intelligence." Kybernetes 41, no. 10 (October 12, 2012): 1625–37. http://dx.doi.org/10.1108/03684921211276792.

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Stipanović, Christian. "BUSINESS INTELLIGENCE IN MAKING TOURISM ENTERPRISES COMPETITIVE." Tourism and hospitality management 11, no. 2 (December 2005): 111–19. http://dx.doi.org/10.20867/thm.11.2.10.

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In the dynamic process of creating competitive ability, tourism enterprises need to valorise new inputs (knowledge, intellectual capital) in generating advantages (quick response, quality, price). It is crucial to implement a new business philosophy based on re-engineering and earned out by encouraging innovations, asserting knowledge as a key resource, and introducing benchmarking and business intelligence. Business Intelligence represents the totality of an enterprise’s information, perceptual and operational competencies as a basis for managing change and building competitiveness. It centres on protecting the data of one enterprise, while gathering the data of others in creating the information needed for a development strategy. Tourist enterprises in Croatia have not yet realised the importance of business intelligence.
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Dissertations / Theses on the topic "Business intelligence Information resources"

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Elias, Marlene, and Magnus Wretlund. "Business Intelligence som del i skapandet av konkurrensfördelar." Thesis, Mälardalen University, School of Sustainable Development of Society and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9830.

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Problem/frågeställningar: När företagsledare runt om i världen ska ta beslut uppgår 40% av dessa beslut till att baseras på magkänslan. Ett påstående kring konkurrensfördelar och magkänsla är att ”ett av de största hindren för konkurrensfördelar är att agera enbart på magkänsla eller intuition”. Denna uppsats tar fasta på det påståendet och granskar hur BI, ett verktyg som stödjer företagsledarna i sina beslut, spelar in. Ett synsätt för att studera konkurrensfördelar är det resursbaserade synsättet, där resurser följaktligen är grunden i det som skapar konkurrensfördelar. Kombinationen mellan hur BI stödjer med information för att underlätta beslut och faktumet att magkänsla eller intuition hindrar konkurrensfördelar gör att den här uppsatsen ställer sig frågan ”Hur och varför kan BI ur ett resursbaserat synsätt stödja skapandet av konkurrensfördelar på kort samt lång sikt inom stora företag?”

Syfte: Att beskriva samt förklara hur och varför BI ur ett resursbaserat synsätt kan stödja skapandet av konkurrensfördelar på kort samt lång sikt inom stora företag.

Teori/modell och metod: Inom den teoretiska referensramen presenteras och diskuteras först definitionen av BI och dess användning. Därefter följer en presentation av det resursbaserade synsättet utifrån en modell byggd av Hart, vilken kompletteras med annan forskning inom det resursbaserade synsättet. Det genererar sedan en egen modell, som därefter byggs på med en BI-del för att utgöra en undersökningsmodell som används vidare i uppsatsen.

Tillvägagångssätt: För den här uppsatsen har 18 st företag som har någon form av BI på företaget intervjuats. Utöver att företagen är bland Sveriges 120 största har inga vidare urval sett, vilket har resulterat i respondenter från branscher så som media, teleoperatörer och försäkring. På dessa företag har intervjuer skett med den person som ansetts vara BI-ansvarig. Vissa företag har Controllers som är de som har övergripande ansvaret för BI, medan det på andra företag är IT-chefer eller specifikt BI-ansvariga. Inom metodavsnittet förs även en genomgång kring de intervjufrågor som framtagits.

Huvudsakliga resultat/slutsatser: I slutsatserna fastslås bland annat att BI kan stödja och driva på en så kallad patchningsförmåga, vilket innebär att företag är snabba i anpassningen mot marknaden. Därutöver konstateras att en av anledningarna till att BI stöttar skapandet av konkurrensfördelar är dess förmåga att stödja effektivisering, optimering och processinnovation i olika förmågor som senare kan leda till konkurrensfördelar. Dock visar det sig också att BI är sämre på att stödja skapandet av konkurrensfördelar på lång sikt, tack vare avsaknaden av stöttandet till faktorer som gör resurser svåra att imitera.


Problem: When business leaders around the world are about to take a decision, 40% of these decisions are based on gut rather than any rational information. This, together with the claim that “one of the biggest hinders for competitive advantage is acting solely on gut or intuition” leads to the combination of the decision support tool Business Intelligence and competitive advantage. Competitive advantage can be seen from numerous perspectives; one of these is the resource-based view, where the resources are the basic pillar for competitive advantage. From this the thesis study question is formulated; “How and why can BI, seen from a resource-based perspective, support the creation of competitive advantage, on short and long term, in large companies?”

Purpose: To explain and describe how and why BI, seen from a resource-based perspective, can support the creation of competitive advantage, on short and long term, in large companies.

Theory: The theoretical foundation is based upon definitions on BI and what BI really is, together with a presentation and discussion on the resource-based view. Following the BI and resource-based view parts, the research model for this thesis is presented, where a modified resource-based view model for competitive advantage, and a definition collection for BI, is combined.

Method: For this thesis, 18 companies where they have some sort of BI solution implemented, has been interviewed. The companies have been selected based from their size, where the 120 largest companies first were contacted with an interview proposal. The companies are based in industries such as media, telephone communications and insurance. On these companies, the individual that is the “BI responsible” has been interviewed, which varies from company to company. BI responsibles could be Controllers, IT Managers or specific BI Managers.

Conclusions: In the conclusions part of this thesis the research question is divided into a how part and a why part. One conclusion from the how part, is that BI can both support and drive a so-called patching capability, which means that a company can be faster and more agile in their market adaption. One of the reasons why BI can support competitive advantages from a resource-based view is that it can help to drive efficiency, optimization and process innovation in different capabilities that can lead to competitive advantage. Another conclusion is that despite its abilities to support what drives competitive advantage through the resource-based view, the term for this is mainly short-term, due to the fact that it is not hard to imitate the information, which constitutes the basic resources that BI supports.

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Hruška, Michal. "Návrh a tvorba Business Intelligence pro řízení lidských zdrojů ve společnosti AVG Technologies." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193349.

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The aim of this thesis is -- based on the theoretical knowledge of human resource manage-ment and theoretical and practical knowledge in the field of Business Intelligence (BI) -- to design the Business Intelligence solution over the human resource management systems in the company AVG Technologies (hereinafter AVG). The thesis is divided into two parts: theoretical and practical. In the theoretical part I describe methods, principles and practices of the human resource management, especially in context of employee performance management, performance evaluation and calibration. Then I focus on employee development. The next stage of the theoretical part describes functioning of the HRM (Human Resource Management) sys-tems. The functionality is explained by description of the systems used in the AVG. At the end of the theoretical part I mention some specifics of BI solutions for HRM systems. In the practical part I describe the creation of the BI solution. This part begins with the analysis in which -- based on the theoretical knowledge and analysis of the AVG's needs and requirements -- I define the actual assignment for the BI solution implementation pro-ject. Then I describe other analysis and implementation steps leading to the creation of the complete BI solution. In the conclusion I evaluate the achievement of the objectives and also real benefits of the solution for the AVG. I also define the suggestions and recommendations for further de-velopment of this solution.
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Issa, Carla Mounir. "Data warehouse applications in modern day business." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2148.

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Data warehousing provides organizations with strategic tools to achieve the competitive advantage that organazations are constantly seeking. The use of tools such as data mining, indexing and summaries enables management to retrieve information and perform thorough analysis, planning and forcasting to meet the changes in the market environment. in addition, The data warehouse is providing security measures that, if properly implemented and planned, are helping organizations ensure that their data quality and validity remain intact.
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Gustafsson, Daniel. "Business Intelligence, Analytics and Human Capital: Current State of Workforce Analytics in Sweden." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-6034.

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The way organizations make decisions today is very often purely based on intuition or gut-feeling. It does not matter whether decisions are of high risk for the company’s future or not, managers golden-gut is the only thing that determines whether invest- ments should be made or not. Analytics is the opposite of this intuition-based decision making. If taken seriously, almost all decisions in organizations are made on facts that are analytically derived from massive amount of data from internal and external sources such as customer relationship systems to social networks. Business leaders are becoming more aware of analytically based decisions, and some use it more than others. Analytics is usually practiced in finance, customer relationships or marketing. There is, however, one area where analytics is practiced by a small number of companies, and that is on the organization’s workforce. The workforce is usually seen as one of the most complicated areas to practice analytics. An employee is, of course, more com- plicated than a product. Despite this fact, companies usually forget that conducting analytics on employees is very similar to conducting analytics on customers, which has been practiced for many decades. Some organizations are showing great success with applications of Workforce Analytics (WA). Most of these organizations are located in the US or outside of Sweden. This thesis has conducted research on to what extent Workforce Analytics is practiced in Sweden. Empirical findings show that some com- panies use WA in Sweden. The practice is not of highest sophistication of WA. Also, they show aspiration towards the idea of WA and some are locally conducting various of applications.
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Soukup, Tomáš. "Využití metod Competitive Intelligence pro malé a střední podniky." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-85159.

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This diploma thesis deals with integration of Competitive Intelligence and Business Intelligence into one solution, which would provide small and medium enterprises with maximum amount of information to help them make the right decision. The primary goal of the diploma thesis is to define user's requirements for such system and find for these requirements suitable information resources. Secondary goal is to analyze new Microsoft service called Windows Azure Marketplace Datamarket and its information resources, which could possibly be beneficial for this thesis. Gained information will be used to design the integrated solution. This diploma thesis could be used by companies, which are interested in solution like this, or by companies, which develop these solutions.
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Stenborg, Vera, and Louise Högren. "“People analytics kan jämföras med tonårssex: alla pratar om det, ingen har gjort det och ingen vet hur man ska göra” : En kvalitativ studie om hur svenska praktiker upplever people analytics." Thesis, Linköpings universitet, Informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159325.

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Teknisk utveckling har varit en drivande kraft för effektivisering av organisationer genom historien. I takt med denna effektivisering har även arbetssätt och krav på anställda förändrats vilket har lett till ett behov av att strukturerat hantera personalrelaterade frågor. Utifrån detta har human resources (HR) som organisatorisk funktion vuxit fram. Den tekniska utvecklingen fortsätter och idag används tekniska lösningar som verktyg för många av organisationens funktioner. Dock menar tidigare forskning att HR inte hänger med i denna utveckling vilket påverkar HR-funktionens roll i organisationen och är en utmaning idag och framöver. En uppmärksammad teknisk lösning idag, i form av en uppsättning teknikbaserade vertyg, aktiviteter och arbetssätt, som anses kunna hjälpa HR som funktion att ta nästa steg i utvecklingen är people analytics. Syftet med denna studie är att öka förståelsen för people analytics i Sverige, vilka effekter som eftersträvas samt vilka möjligheter och utmaningar som finns för att uppnå dessa effekter. Detta grundar sig i att det finns ett behov av empiriskt grundad forskning i en svensk kontext eftersom det finns en avsaknad av detta idag. Genom tillämpning av en kvalitativ surveyundersökning av tolkande karaktär med semistrukturerade intervjuer framkommer ett empiriskt material som analyseras med hjälp av tidigare forskning och socioteknisk teori. Studien visar att people analytics är en uppsättning aktiviteter som är värdefulla för såväl organisationer som HR-funktioner eftersom det möjliggör evidensbaserat strategiskt arbete, med data och statistik som grund, i personalrelaterade frågor. Genom att använda people analytics kan organisationer följa upp sitt personalrelaterade arbete på ett mer strukturerat sätt och HR som funktion har även fått ökad legitimitet i organisationen på grund av detta. Däremot finns det ett antal komplext sammanflätade faktorer som idag agerar hindrande för att people analytics ska nå sin fulla potential i svenska organisationer, dessa faktorer återfinns både i sociala och tekniska aspekter av arbetet med people analytics. Genom att skapa förståelse för varför dessa faktorer påverkar användandet och effekterna av people analytics bidrar denna studie med värdefulla insikter för både praktiker och akademiker. Dessa insikter handlar om hur arbetet med people analytics kan uppnå de långsiktiga mål och syften som finns både inom forskning och hos svenska organisationer.
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Sewdass, Nisha. "The implementation of Competitive Intelligence tools and techniques in Public Service departments in South Africa to improve service delivery a case study of the Department of Home Affairs /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09272009-154654/.

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Bergdahl, Jacob. "The AI Revolution : A study on the present and future application and value of AI in the context of ERP systems." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-354043.

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Business leaders around the world are expressing equal amounts of excitement and urgency for implementing artificial intelligence (AI) technologies. Yet the upcoming AI revolution is clouded with uncertainties and misconceptions. In this thesis, the business value and application potential of AI were studied in a context of enterprise resource planning (ERP) systems through a case study at a consultancy firm with small- to midsize clients. Three research questions were posed and answered: how can, or do, organizational processes covered by ERP systems benefit from AI, what AI features do customers typically request when ordering ERP systems, and is AI adopted with the purpose of reducing costs or increasing revenue? Using a framework for data analysis, multiple organizational processes covered by ERP systems were explored through interviews with ERP experts. The results indicated that small- and midsize companies were still primarily requesting and working to implement basic, incremental AI with the purpose of reducing costs through automations. Future leaders may instead need to implement AI that fundamentally reinvents their business processes, with the purpose of increasing revenue through augmentations. Overall, while some organizational processes have already been improved with AI solutions, many processes have yet to be AI-powered in the ERP solutions sold by the consultancy firm examined in this study. However, the consultants of the firm express great positivity for the untapped potential of AI, and many further AI solutions are being developed.
Affärsledare världen runt upplever såväl entusiasm som brådska för att implementera artificiell intelligens (AI). Men den kommande AI-revolutionen är fylld av osäkerheter och miss-uppfattningar. I denna uppsats undersöktes det affärsvärde och den användningspotential som AI har i en kontext av affärssystem (enterprise resource planning system, ERP) genom en fallstudie på en konsultfirma med små- och mellanstora kunder. Tre forskningsfrågor ställdes och besvarades: hur kan organisatoriska processer som täcks av affärssystem komma att gynnas av AI, eller hur gynnas de redan, vilken typ av AI efterfrågar kunder när de beställer affärssystem, och införskaffas AI i syftet att minska kostnader eller öka intäkter? Med hjälp av ett ramverk för dataanalys utforskandes ett flertal organisatoriska processer som täcks av affärssystem genom intervjuer med affärssystemsexperter. Resultatet tyder på att små- och mellanstora företag fortfarande primärt efterfrågar och jobbar med enkla, inkrementella AI-utvecklingar, med syftet att minska kostnader genom automatiseringar. Framtida ledare kan istället komma att vilja implementera AI som fundamentalt återuppfinner organisationens affärsprocesser, med syftet att öka inkomsterna genom att göra personalen kraftfullare. På det stora hela har enbart än så länge endast ett mindre antal organisatoriska processer blivit förbättrade med AI-lösningar i de affärssystem som säljs av konsultfirman som undersöktes i denna studie. Företagets konsulter uttrycker dock starkt positivitet för den outnyttjade potentialen som kan hittas i AI, och fler AI-lösningar för affärssystemen håller på att utvecklas.
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Hedenstrand, Alex. "The Intelligent Enterprise Resource Planning System from a Business Perspective." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-78993.

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Businesses are faced with an ever-changing environment of technology, one of these recurring changes is in the field of Enterprise resource planning (ERP) systems. Technologies such as business intelligence (BI), machine learning (ML) and internet of things (IoT), which are driving forces in shaping the next generation of ERP systems. These improved ERP systems can better support a company compared to a traditional ERP system. This thesis has examined what constitutes an intelligent-ERP and what possibilities it presents from a business perspective. To answer this question, a qualitative study approach was chosen by conducting interviews with professionals within the BI and ERP systems field. The interviews were structured in a loose fashioned way, aiming for a holistic perspective of the I-ERP systems phenomenon. This bachelor thesis transpired to show that I-ERP systems do improve business performance for companies that exhibit the needs. However, there occurred differences in the perception of the definition of how I-ERP systems should be defined between the participants and the literature.
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David, Petr. "Podnikový informační systém v éře cloud computingu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-82020.

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The thesis deals with the latest trend in providing ICT service -- Cloud Computing -- and its possible application in enterprise information systems generally. The aim of the thesis is to evaluate market readiness for Cloud Computing services in order to find out to which extent it is possible to cover enterprise information system, or rather its software applications, on strategic and tactical management levels using the above-mentioned services. To achieve the aim, it is necessary to determine both the Cloud Computing services market and the enterprise information system sphere and then to decide whether Cloud Computing services are able to cover the basic needs of enterprise information systems. The evaluation of the market readiness will be executed in accordance with both the specially created methodology and the defined requirements. Thus the present market readiness rating will be possible to determine. The thesis should show to which extent it is possible to apply Cloud Computing model to the enterprise information systems issue. It will also be possible to find out the factors which support this application the most and, on the other hand, which factors limit this application the most. The thesis will also show which fields are advanced enough, which services we can consider and what we can expect of these services.
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Books on the topic "Business intelligence Information resources"

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Koch, Margarete. Entwicklung eines Informationsversorgungskonzepts als Basis unternehmensspezifischer Business-Intelligence-Lösungen industrieller Unternehmen. Lohmar: Eul Verlag, 2014.

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Institution, British Standards, ed. IMS: Information security. London: BSi, 2003.

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Knowledge management, business intelligence, and content management: The IT practitioner's guide. Boca Raton, FL: Auerbach Publications, 2006.

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McGonagle, John J. The Internet age of competitive intelligence. Westport, Conn: Quorum, 1999.

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Reva, Basch, ed. Super searchers on competitive intelligence: The online and offline secrets of top CI researchers. Medford, N.J: CyberAge Books, 2003.

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1963-, Vriens Dirk Jaap, ed. Information and communication technology for competitive intelligence. Hershey, Pa: Idea, 2004.

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Caserio, Carlo, and Sara Trucco. Enterprise Resource Planning and Business Intelligence Systems for Information Quality. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77679-8.

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Burwell, Helen P. Online competitive intelligence: Increase your profits using cyber-intelligence. 2nd ed. Tempe, Ariz: Facts on Demand Press, 2004.

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1962-, Vibert Conor, ed. An introduction to online competitive intelligence research: Search strategies, research case study, research problems, and data source evaluations and reviews. Mason, Ohio: Thomson/Texere, 2004.

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International, ASIS. Information asset protection guideline. [Alexandria, VA]: ASIS International, 2007.

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Book chapters on the topic "Business intelligence Information resources"

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Hongjun, Liao, and Gao Yajia. "Study on Chain Companies Human Resources Management." In Information and Business Intelligence, 227–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_34.

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Zhou, Hai-quan. "Mineral Resources Evaluation System Based on Geographic Information System." In Information and Business Intelligence, 246–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_37.

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Wu, Tao. "The Study on Enterprise Culture in Human Resources Management." In Information and Business Intelligence, 518–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_80.

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Yang, Jinyu. "The Study on Human Resources Management Based on Economic View." In Information and Business Intelligence, 221–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29084-8_33.

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Dias, Ivo, and Maria José Sousa. "Business Intelligence Applied to Human Resources Management." In New Contributions in Information Systems and Technologies, 105–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16528-8_11.

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Nasiopoulos, Dimitrios Κ., Panagiotis Reklitis, and Despina S. Giakomidou. "Logistics Companies Reengineering. Change of Leadership and Human Resources Planning Through Management Information Systems." In Business Intelligence and Modelling, 207–17. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57065-1_22.

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Sun, Jing. "Strategic Analysis on Human Resource Nationalization in Foreign Company." In Information and Business Intelligence, 448–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_69.

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Kou, Weili, Shu Gan, Cairong Yue, Hua Yuan, and Ning Lu. "A WebGIS Architecture for Wetland Resource Based on ArcGIS Server." In Information and Business Intelligence, 158–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_23.

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Su, Haijian. "Study on Providing Judicial Protection by Procuratorate for Building a Resource Effective Society." In Information and Business Intelligence, 542–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_84.

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Su, HaiJian. "Study on the Judicial Guarantees Provided by the Courts in the Construction of the Resource Conservation-Oriented Society Construction of China." In Information and Business Intelligence, 488–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29087-9_75.

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Conference papers on the topic "Business intelligence Information resources"

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Ferreira, Daniela Felix, Jorge Bernardino, Carlos Danilson Manjate, and Isabel Pedrosa. "Business Intelligence and Business Analytics applied to the management of agricultural resources." In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2021. http://dx.doi.org/10.23919/cisti52073.2021.9476266.

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Wu, Hui. "Regional Logistics Information Resources Integrate and Share." In 2012 Fifth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2012. http://dx.doi.org/10.1109/bife.2012.18.

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Huang, Tao, Lixin Xia, and Shanshan Zhai. "User Interests Clustering for E-Government Information Resources Integration." In 2011 Fourth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2011. http://dx.doi.org/10.1109/bife.2011.154.

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"How Can HRM Support Business Intelligence Systems?" In International Workshop on Human Resource Information Systems. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002220501390154.

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"Business Intelligence as a HRIS for Absenteeism." In The 1st International Workshop on Human Resource Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002415701550163.

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Birznieks, Janis, and Lasma Licite-Kurbe. "Analysis of the Introduction of Business Intelligence and Data Warehousing into Businesses in Latvia." In 22nd International Scientific Conference. “Economic Science for Rural Development 2021”. Latvia University of Life Sciences and Technologies. Faculty of Economics and Social Development, 2021. http://dx.doi.org/10.22616/esrd.2021.55.028.

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The market of global business intelligence technologies reached EUR 18.3 billion in 2017 and is expected to reach EUR 22.8 billion in the near future, as such technologies provide companies with a number of benefits: new information for business decision-making, real-time financial reporting and manual work automation. Nevertheless, many companies around the world do not achieve the desired results of applying business intelligence and data warehousing technologies. The research aims to develop scenarios for applying business intelligence and data warehousing tools in entrepreneurship in Latvia based on an examination of the tools. The research has found that the companies examined in the case study have introduced business intelligence along with data warehousing; however, there are differences in applying the business intelligence and the level of its advancement. Overall, a business intelligence system makes core and support operations and processes faster, as well as reduces costs and requires less human resources. However, problems were identified concerning a lack of motivation in employees to learn new technologies. The scenario analysis concluded that large companies should perform as many administrative and technological processes related to the mentioned technologies as possible themselves rather than outsource them, which allows them to save funds on the development of such technologies and improve the company’s data culture.
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Yong Liu and Dazheng Wang. "On Business Intelligence Information Technology for Human Resource Management Workflow Systems." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6010761.

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Santos, Miguel, Emanuel Joao, Joao Canelas, Jorge Bernardino, and Isabel Pedrosa. "The Incorporation of Business Intelligence with Enterprise Resource Planning in SMEs." In 2021 16th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2021. http://dx.doi.org/10.23919/cisti52073.2021.9476341.

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Fabiyi, O., and W. D. Olanipekun,. "Evaluating the Impact of Critical Success Factors of Business Intelligence on Firm Performance." In 28th iSTEAMS Multidisciplinary Research Conference AIUWA The Gambia. Society for Multidisciplinary and Advanced Research Techniques - Creative Research Publishers, 2021. http://dx.doi.org/10.22624/aims/isteams-2021/v28n3p10.

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The paper examined the arguments and counterarguments within the scientific discussion on business intelligence and organisation performance. Today’s market place and space is one that is always evolving, revolving and the case of unpredictability which can be seen from the view of economic downturn from time to time. Based on this, organizations look for ways to improve the way they do business to keep ahead of the competition and increase revenue. Specifically, more insight can be gained, and even better decisions made, by coupling business relevant information with an easy-touse predictive analytics/ business solution. The main objective of this study is to evaluate the impact of business intelligence on performance. The data came from the primary source with the aid of a structured questionnaire that was administered to the respondents. Quantitative analysis was carried out on the data related to the 115 organizations. Descriptive and inferential statistics was employed in analyzing the data. A systematic literary approach to data analysis is Pearson Product Moment Correlation Coefficient which was used to test the hypotheses at 5% level of significance. The results of the analysis show that business intelligence actually has a positive impact on the overall performance outcome of the organizations. however, a detailed analysis suggests that the impact of the success factors is stronger with business analysis and analytics, which shows that business intelligence is not just tools or software as seen by many but includes other processes and methodologies which at the end of the day is more important for making better business decisions and providing higher value of outcome for the organization. The study therefore recommends that strategic management must demonstrate their commitment to business intelligence with resources, action, guidelines, and activities. It is also important for management to support continuous knowledge management, data analysis, data warehousing, data mining while also fostering a culture that constantly ensures the enshrinement of business intelligence practices. Keywords: Business Intelligence, Data Mining, Data Warehouse, Knowledge Management, Business Analytics
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Ribeiro, NENDY Temistocles, Cesar Augusto Biancolino, and Magali Vicente Proença. "ENTERPRISE RESOURCE PLANNING EM UM HOSPITAL PÚBLICO: BUSINESS INTELLIGENCE NA GESTÃO DE CENTRO CIRÚRGICO." In 12th CONTECSI International Conference on Information Systems and Technology Management. TECSI, 2015. http://dx.doi.org/10.5748/9788599693117-12contecsi/ps-1778.

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Reports on the topic "Business intelligence Information resources"

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Redmond-Neal, Amanda Lee. Business intelligence for human resources. Toward a new paradigm for report development and delivery. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1173186.

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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward, and Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.
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Carrión-Tavárez, Ángel, and Javier Gutiérrez-Ballivián. A dataset on the digital transformation of university courses during the covid-19 pandemic. Fachhochschule Dortmund, 2021. http://dx.doi.org/10.53095/25862001.

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This paper presents a dataset created from a survey on the experiences of professors from business schools at Latin American universities, in the digital transformation of their courses, due to the COVID-19 pandemic. The dataset collects the insight that professors had about the national and institutional policies on information and communication technologies (ICT) in higher education; the methods, strategies, and resources used by professors; and the outcomes at the end of the courses. The purpose of this work is to inform the academic community of the existence and availability of this dataset for analysis, criticism, or possible use by other researchers.
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Díaz de Astarloa, Bernardo, and Ezequiel Tacsir. Cluster Initiatives and Economic Resilience: Evidence from a Technology Cluster in Argentina. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004594.

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In this paper, we study the role of a cluster initiative in fostering economic resilience among firms in a local technology cluster in Argentina. We focus on two aggregate shocks that hit the Argentine economy, including first wave of the COVID-19 pandemic. Our analysis is based on interviews with authorities and members of the cluster initiative, local firms, and policy makers, as well as on firm-level administrative tax records. We find that the cluster organization provides members with resources that could foster resilience, including access to specialized human capital, information on business opportunities, and assistance in applying for government support programs. However, while members of the cluster organization appear to be more resilient than non-members, even within the same regional cluster, after conditioning on firm characteristics we find little evidence of a positive association between belonging to the cluster organization and economic resilience. Members of the cluster organization are neither less likely to exit nor adapt by switching their main economic activity and did not show statistically significantly higher revenue growth than nonmembers. Member firms do appear to have been more able than non-members to keep up with tax obligations during the first wave of the COVID-19 pandemic.
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Vaskivskyj, Yurij. Branding in journalism: prospects for operation. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11395.

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The article analyzes the branding process in the context of the development of individual units of journalism. After all, in the current conditions of competition in the Ukrainian information space, it is important to apply and master new technologies for the development and promotion of media resources in the media market. The history of branding is presented and it is noted that branding is the key to the success of each media brand in using the necessary tools and technologies, which involves the branding process. It is necessary to know and understand not only the basic laws of branding, but also its possibilities as the main tool of Internet marketing and offline or digital marketing. It is emphasized that the personal brand should be considered as a tool that builds a reputation and a positive image in the information space, as well as allows you to get a variety of resources only using professional skills and knowledge. It is important not only to form your own audience, but also to meet its needs. The GORDON online publication is analyzed, because this media resource is a consequence of the influence of personal brand on the audience and rapid development in the context of promoting a particular media resource, and the main ideologue and co-founder of this publication is an example of how personal brand can affect audiences. and promote the development of a specific business project. It is noted that the reputation of Dmitry Gordon and his odious figure became the basis for the success of this online publication, and attitudes toward him may be different and often ambiguous, but his person is known to everyone in the post-Soviet space. Modern information space needs scandalous and odious personalities, because they are able to arrange a show, give people emotions. The author points out that branding is an extremely promising technology not only in the context of promoting and promoting a particular media resource or personal brand, but also promotes the comprehensive development of journalists as public opinion experts and potential speakers at international conferences not only in journalism, but also internet marketing.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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Führ, Martin, Julian Schenten, and Silke Kleihauer. Integrating "Green Chemistry" into the Regulatory Framework of European Chemicals Policy. Sonderforschungsgruppe Institutionenanalyse, July 2019. http://dx.doi.org/10.46850/sofia.9783941627727.

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20 years ago a concept of “Green Chemistry” was formulated by Paul Anastas and John Warner, aiming at an ambitious agenda to “green” chemical products and processes. Today the concept, laid down in a set of 12 principles, has found support in various arenas. This diffusion was supported by enhancements of the legislative framework; not only in the European Union. Nevertheless industry actors – whilst generally supporting the idea – still see “cost and perception remain barriers to green chemistry uptake”. Thus, the questions arise how additional incentives as well as measures to address the barriers and impediments can be provided. An analysis addressing these questions has to take into account the institutional context for the relevant actors involved in the issue. And it has to reflect the problem perception of the different stakeholders. The supply chain into which the chemicals are distributed are of pivotal importance since they create the demand pull for chemicals designed in accordance with the “Green Chemistry Principles”. Consequently, the scope of this study includes all stages in a chemical’s life-cycle, including the process of designing and producing the final products to which chemical substances contribute. For each stage the most relevant legislative acts, together establishing the regulatory framework of the “chemicals policy” in the EU are analysed. In a nutshell the main elements of the study can be summarized as follows: Green Chemistry (GC) is the utilisation of a set of principles that reduces or eliminates the use or generation of hazardous substances in the design, manufacture and application of chemical products. Besides, reaction efficiency, including energy efficiency, and the use of renewable resources are other motives of Green Chemistry. Putting the GC concept in a broader market context, however, it can only prevail if in the perception of the relevant actors it is linked to tangible business cases. Therefore, the study analyses the product context in which chemistry is to be applied, as well as the substance’s entire life-cycle – in other words, the six stages in product innovation processes): 1. Substance design, 2. Production process, 3. Interaction in the supply chain, 4. Product design, 5. Use phase and 6. After use phase of the product (towards a “circular economy”). The report presents an overview to what extent the existing framework, i.e. legislation and the wider institutional context along the six stages, is setting incentives for actors to adequately address problematic substances and their potential impacts, including the learning processes intended to invoke creativity of various actors to solve challenges posed by these substances. In this respect, measured against the GC and Learning Process assessment criteria, the study identified shortcomings (“delta”) at each stage of product innovation. Some criteria are covered by the regulatory framework and to a relevant extent implemented by the actors. With respect to those criteria, there is thus no priority need for further action. Other criteria are only to a certain degree covered by the regulatory framework, due to various and often interlinked reasons. For those criteria, entry points for options to strengthen or further nuance coverage of the respective principle already exist. Most relevant are the deltas with regard to those instruments that influence the design phase; both for the chemical substance as such and for the end-product containing the substance. Due to the multi-tier supply chains, provisions fostering information, communication and cooperation of the various actors are crucial to underpin the learning processes towards the GCP. The policy options aim to tackle these shortcomings in the context of the respective stage in order to support those actors who are willing to change their attitude and their business decisions towards GC. The findings are in general coherence with the strategies to foster GC identified by the Green Chemistry & Commerce Council.
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