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Tytuł:
The importance of Big Data Analytics technology in business management
Autorzy:
Pizło, Wojciech
Kulykovets, Olena
Prokopowicz, Dariusz
Mazurkiewicz-Pizło, Anna
Kałowski, Adam
Paprocka, Małgorzata W.
Stawicka, Ewa
Skarzyńska, Edyta
Powiązania:
https://bibliotekanauki.pl/articles/20311652.pdf
Data publikacji:
2023-10-31
Wydawca:
Akademia Sztuki Wojennej
Tematy:
Big Data management
Digital Twins
new technology management
Big Data
Analytics
Scopus database
Opis:
Data processing, artificial intelligence and IoT technologies are on the rise. The role of data transfer security systems and databases, known as Big Data, is growing. The main cognitive aim of the publication is to identify the specific nature of Big Data management in an enterprise. The paper uses the bibliographic Elsevier and Springer Link databases, and the Scopus abstract database. The distribution of keywords, drawing attention to four main areas related to research directions, is indicated, i.e., Big Data and the related terms „human”, „IoT” and „machine learning”. The paper presents the specific nature of Big Data together with Kitchin and McArdle’s research, indicating the need for a taxonomic ordering of large databases. The precise nature of Big Data management, including the use of advanced analytical techniques enabling managerial decision-making, was identified. The development of Cyber Production Systems (CPS), based on BD, integrating the physical world of an enterprise with the digitisation of information as the concept of Digital Twins (DTs), was also indicated. CPS offer the opportunity to increase enterprise resilience through increased adaptability, robustness and efficiency. With DTs, manufacturing costs are reduced, the product life cycle is shortened, and production quality increases.
Źródło:
Cybersecurity and Law; 2023, 10, 2; 270-282
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big data management algorithms in artificial Internet of Things-based fintech
Autorzy:
Andronie, Mihai
Iatagan, Mariana
Uță, Cristian
Hurloiu, Iulian
Dijmărescu, Adrian
Dijmărescu, Irina
Powiązania:
https://bibliotekanauki.pl/articles/19902795.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
big data management algorithms
artificial intelligence
Internet of Things
fintech
banking
capital markets
Opis:
Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 769-793
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Collaborative manufacturing based on cloud, and on other I4.0 oriented principles and technologies: a systematic literature review and reflections
Autorzy:
Varela, M. L. R.
Putnik, G. D.
Manupati, V. K.
Rajyalakshmi, G.
Trojanowska, J.
Machado, J.
Powiązania:
https://bibliotekanauki.pl/articles/406942.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
collaborative manufacturing
networked manufacturing
cloud manufacturing
I4.0
cyber physical system
internet of things
big data management
Opis:
Recent rapid developments in information and network technology have profoundly influenced manufacturing research and its application. However, the product’s functionality and complexity of the manufacturing environments are intensifying, and organizations need to sustain the advantage of huge competitiveness in the markets. Hence, collaborative manufacturing, along with computer-based distributed management, is essential to enable effective decisions and to increase the market. A comprehensive literature review of recent and state-of-the-art papers is vital to draw a framework and to shed light on the future research avenues. In this review paper, the use of technology and management by means of collaborative and cloud manufacturing process and big data in networked manufacturing system have been discussed. A systematic review of research papers is done to draw conclusion and moreover, future research opportunities for collaborative manufacturing system were highlighted and discussed so that manufacturing enterprises can take maximum benefit.
Źródło:
Management and Production Engineering Review; 2018, 9, 3; 90-99
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The right time for a big bath: asset impairment recognition in earnings management
Autorzy:
Mielcarz, Paweł
Osiichuk, Dmytro
Tselinko, Inna
Powiązania:
https://bibliotekanauki.pl/articles/40713469.pdf
Data publikacji:
2023-06-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Tematy:
Earnings management
Big bath
Asset impairment
Opis:
Purpose – The article investigates the patterns of asset impairment recognition in search of signs of “big bath” earnings management practices across an internationally diversified sample of public companies. It also elucidates the incentives that may underlie such practices and explores possible safeguards embedded in the existing corporate governance mechanisms. Design/methodology/approach – The article applied static panel and binary logit models to an international firm-level panel dataset of 1045 public companies observed between 2003 and 2018. Findings – Our empirical results suggest that recognition of asset impairment has no determinate impact on earnings volatility. Investigating the possibility of “big bath” earnings management practices, the authors found no impact of asset impairment recognition on total senior executive compensation in firms, which pay performance-based remuneration. The quality of corporate governance has appeared to impact the firms’ intertemporal proclivity to recognize asset impairment with those having the more entrenched and management-controlled boards being more likely to time impairment recognition by delaying it during exceptionally good and exceptionally bad years. While generally unlikely, recognition of asset impairment in a period with a recorded negative operating performance is found to be closely associated with key executive departures. Originality/value – The article corroborates the salient role of corporate governance mechanisms in shaping the intertemporal patterns of asset impairment recognition. The possible remedies to the phenomenon should be derived therefrom.
Źródło:
Central European Management Journal; 2023, 31, 2; 189-206
2658-0845
2658-2430
Pojawia się w:
Central European Management Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Review on Big Data Management and Decision-Making in Smart Grid
Autorzy:
Mohamed, Amira
Refaat, Shady S.
Abu-Rub, Haitham
Powiązania:
https://bibliotekanauki.pl/articles/1193826.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
Big Data
energy management
Big Data analytics
smart grid
decision-making
Opis:
Smart grid (SG) is the solution to solve existing problems of energy security from generation to utilization. Examples of such problems are disruptions in the electric grid and disturbances in the transmission. SG is a premium source of Big Data. The data should be processed to reveal hidden patterns and secret correlations to extrapolate the needed values. Such useful information obtained by the so-called data analytics is an essential element for energy management and control decision towards improving energy security, efficiency, and decreasing costs of energy use. For that reason, different techniques have been developed to process Big Data. This paper presents an overview of these techniques and discusses their advantages and challenges. The contribution of this paper is building a recommender system using different techniques to overcome the most obstacles encountering the Big Data processes in SG. The proposed system achieves the goals of the future SG by (i) analyzing data and executing values as accurately as possible, (ii) helping in decision-making to improve the efficiency of the grid, (iii) reducing cost and time, (iv) managing operating parameters, (v) allowing predicting and preventing equipment failures, and (vi) increasing customer satisfaction. Big Data process enables benefits that were never achieved for the SG application.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 1-13
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use and the future of big data analytics in supply chain management
Autorzy:
Zdrenka, W.
Powiązania:
https://bibliotekanauki.pl/articles/409447.pdf
Data publikacji:
2017
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
big data
supply chain management
e-commerce
logistics
Opis:
Global computerization and informatization of enterprises, Internet popularization and fast growing number of mobile devices has caused the rapid growth of data generated by the society. There never was so much data in the whole humans history. Forecasts shows that in 5 years the growth rate of data being generated will increase by several times. From one side, easy-access to company’s economic environment and customers’ data enables better decision taking, but from the other side huge amount of data leads to the “information noise” which may be a cause of incorrect conclusions and finally wrong decisions. Due to this phenomenon, companies have faced completely new challenge – development of company’s competitive edge through the analysis of huge amount of unstructured and changing data bases – so-called “Big data”. Analysis that were difficult or even not possible to conduct couple years ago, today are supporting companies on every day basis thanks to Big data analysis.
Źródło:
Research in Logistics & Production; 2017, 7, 2; 91-102
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of Big Data resources in patient experience management
Wykorzystanie zasobów Big Data do zarządzania pacjentami
Autorzy:
Jelonek, D.
Chluski, A.
Powiązania:
https://bibliotekanauki.pl/articles/323127.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
Big Data
management of healthcare
patient experience
big data
zarządzanie służbą zdrowia
doświadczenia pacjenta
Opis:
The aim of the paper is to present opportunities for the use o patient experience management of selected Big Data resources generated by health service stakeholders. The data collected by health service entities often meet conditions of Big Data definition. These are Big Data resources, with substantial variability and varied structure, containing much useful information. The use of analytical Big Data methods in patient experience management should have a positive impact on quality and efficiency of services provided by the health care entities.
Celem artykułu jest przedstawienie możliwości wykorzystania zarządzania przypadkami medycznymi pacjenta generowanymi przez interesariuszy służby zdrowia przy wykorzystaniu wybranych narzędzi Big Data. Dane gromadzone przez podmioty służby zdrowia często spełniają warunki wystarczające doi zaklasyfikowania je jako Big Data. Są to zasoby o znacznej zmienności i zróżnicowanej strukturze, zawierające wiele użytecznych informacji na temat pacjentów. Zastosowanie analitycznych metod Big Data w zarządzaniu przypadkami pacjentów powinno mieć pozytywny wpływ na jakość i efektywność usług świadczonych przez podmioty służby zdrowia.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2018, 117; 199-212
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Big Data: Challenges and Opportunities in Financial Management
Big data: wyzwania i szanse w zarządzaniu finansami
Autorzy:
Pilipczuk, Olga
Cosenco, Natalia
Kosenko, Olena
Powiązania:
https://bibliotekanauki.pl/articles/1923668.pdf
Data publikacji:
2019-11-29
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
big data
financial management
accounting
labor market
Big Data
zarządzanie finansami
księgowość
rynek pracy
Opis:
This paper describes the challenges and opportunities of using “big data” in the practice of financial management. The research question addressed in this work is what the major topics in existing research concerning the demand for big data skills are and where the resulting gaps in financial management occur. The experts noticed the transformation of the finance manager profession and predict that in next decade big data skills will be required for financial managers. The purposes of the paper are: to analyze the current state of the financial manager profession in selected labor markets, to identify the number of job positions with big data skills currently needed and to check additional skills and competencies needed in practice. The purpose of the literature study is to highlight the opportunities and challenges of big data technologies in financial management. To present a snapshot of big data skills demand in the European labor market for financial managers, we conducted research which reveals core skills currently needed for this position. We examined the most popular job search websites to find finance managers job openings that require big data skills in selected European countries. In conclusion, we provide potential areas for further research.
W niniejszym artykule podjęto próbę opisania wyzwań i możliwości wykorzystania technologii Big Data w praktyce zarządzania finansami. Pytanie badawcze poruszone w artykule dotyczy analizy zapotrzebowania na rynku pracy w zakresie umiejętności Big Data i związanych z nimi luk badawczych w zarządzaniu finansami. Eksperci odnotowują transformację zawodu menedżera finansowego i przewidują, że w następnej dekadzie od menedżerów finansowych będą wymagane umiejętności wykorzystania technologii Big Data. Celem artykułu jest analiza obecnego stanu zawodu menedżera finansowego na rynkach pracy wybranych krajów Europy, identyfikacja liczby ofert pracy zawierających wymagania związane z umiejętnościami w zakresie Big Data oraz sprawdzenie dodatkowych umiejętności i kompetencji potrzebnych w praktyce dla menadżerów finansowych. Celem analizy literatury tematu było podkreślenie możliwości i wyzwań wykorzystania technologii Big Data w zakresie zarządzania finansami. Aby przedstawić stan obecny zapotrzebowania na umiejętności Big Data dla menedżerów finansowych na wybranych europejskich rynkach pracy, przeprowadzono badania, które ujawniły kluczowe umiejętności potrzebne obecnie na tym stanowisku. Przeanalizowano najbardziej popularne strony internetowe z ofertami pracy wybranych krajów Europy, aby znaleźć oferty pracy dla menedżerów finansowych, wymagające umiejętności Big Data. Badanie ujawniło różnice w popycie na umiejętności Big Data między badanymi krajami. W podsumowaniu nakreślono potencjalne obszary dalszych badań.
Źródło:
Problemy Zarządzania; 2019, 5/2019 (85); 9-23
1644-9584
Pojawia się w:
Problemy Zarządzania
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of big data resources in patient experience management
Wykorzystanie zasobów Big Data do zarządzania pacjentami
Autorzy:
Jelonek, D.
Chluski, A.
Powiązania:
https://bibliotekanauki.pl/articles/323081.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
Big Data
management of healthcare
patient experience
big data
zarządzanie służbą zdrowia
doświadczenia pacjenta
Opis:
The aim of the paper is to present opportunities for the use o patient experience management of selected Big Data resources generated by health service stakeholders. The data collected by health service entities often meet conditions of Big Data definition. These are Big Data resources, with substantial variability and varied structure, containing much useful information. The use of analytical Big Data methods in patient experience management should have a positive impact on quality and efficiency of services provided by the health care entities.
Celem artykułu jest przedstawienie możliwości wykorzystania zarządzania przypadkami medycznymi pacjenta generowanymi przez interesariuszy służby zdrowia przy wykorzystaniu wybranych narzędzi Big Data. Dane gromadzone przez podmioty służby zdrowia często spełniają warunki wystarczające doi zaklasyfikowania je jako Big Data. Są to zasoby o znacznej zmienności i zróżnicowanej strukturze, zawierające wiele użytecznych informacji na temat pacjentów. Zastosowanie analitycznych metod Big Data w zarządzaniu przypadkami pacjentów powinno mieć pozytywny wpływ na jakość i efektywność usług świadczonych przez podmioty służby zdrowia.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2018, 120; 117-129
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Business performance measurements in asset management with the support of big data technologies
Pomiary wydajności biznesowej w zarządzaniu aktywami ze wsparciem technologii big data
Autorzy:
Campos, J.
Sharma, P.
Jantunen, E.
Baglee, D.
Fumagalli, L.
Powiązania:
https://bibliotekanauki.pl/articles/410199.pdf
Data publikacji:
2017
Wydawca:
STE GROUP
Tematy:
business performance measurements
asset management
big data technologies
pomiary wydajności biznesowej
zarządzanie aktywami
technologie big data
Opis:
The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.
W artykule przedstawiono pomiar wydajności w dziedzinie zainteresowań. Następnie omawiane są ważne dane dotyczące zarządzania aktywami. W artykule wymieniono również znaczenie i cechy charakterystyczne dla dzisiejszych technologii informacyjno-komunikacyjnych. Szczegółowo omówiono rolę nowych koncepcji, takich jak big data i technologie analityczne dotyczące wyszukiwania danych w zarządzaniu pomiarami wydajności w zarządzaniu aktywami. Autorzy sugerują zastosowanie metodologii zmodyfikowanej Strategicznej Karty Wyników, która podkreśla zarówno aspekty ilościowe, jak i jakościowe, co jest kluczowe dla optymalnego wykorzystania podejścia i technologii big data.
Źródło:
Management Systems in Production Engineering; 2017, 3 (25); 143-149
2299-0461
Pojawia się w:
Management Systems in Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is earnings management impacted by audit fees and auditor tenure? An analysis of the Big Four audit firms in the US market
Autorzy:
Santos-Jaén, José Manuel
Martín de Almagro-Vázquez, Gema
Valls Martínez, María del Carmen
Powiązania:
https://bibliotekanauki.pl/articles/19906103.pdf
Data publikacji:
2023
Wydawca:
Instytut Badań Gospodarczych
Tematy:
earnings management
auditor tenure
auditor rotation
audit fees
Big Four
Opis:
Research background: Audits are intended to ensure the reliability of financial statements, as this is fundamental for different stakeholders. However, both auditor tenure and audit fees could affect the earnings management of companies. In 2014, the European Union established a mandatory audit firm rotation policy. In the United States, although there is still no mandatory regulation in this regard, there has been a large public debate over the advisability of this policy. Another unresolved controversy is whether audit fees determine audit quality. Purpose of the article: The aim of this research is to study the effect of auditor tenure and audit fees on earnings management, i.e., to determine whether a longer-term relationship between the auditor and the audited company, as well as higher audit fees, reduce the audited company's earnings management, thereby making the financial statements more reliable for stakeholders and increasing the quality of the audit report. In addition, the Big Four auditing companies in the United States were analyzed in order to determine the influence of corporate culture. Methods: A sample of companies listed in the S&P 500 stock market index was employed for the analysis, covering the years 2012 to 2021, resulting in a dataset comprising 3,010 observations. To examine the research hypotheses while mitigating the potential bias from omitted variables, a linear regression analysis was conducted using panel data with fixed effects regression. To enhance the robustness of the results, winsorized variables were also employed. Findings & value added: Overall, the results confirm that the quality of financial statements improves as auditor tenure increases, and so implementing a mandatory auditor rotation may not be in a company’s best interests. The results also support the market segmentation theory, as higher audit fees are aligned with higher quality financial reporting. Furthermore, by analyzing the Big Four audit companies in the US, it is shown that the influence of audit fees and auditor tenure on earnings management also depends on the internal aspects of the particular audit firm, especially its ethical culture. In sum, US policymakers should neither set limits on audit fees nor enforce a mandatory audit firm rotation similar to that of the EU.
Źródło:
Oeconomia Copernicana; 2023, 14, 3; 899-934
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Challenges Related to Identifying Sources and Document Collection for Big Data Analyses
Autorzy:
Gmiterek, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/426401.pdf
Data publikacji:
2019
Wydawca:
Szkoła Główna Handlowa w Warszawie
Tematy:
big data
data management
trend watching
information science
data sets exploration
Opis:
The modern information environment is dynamic and characterized by the speed with which multimedia content is created, collected, contributed to and shared. Users have access to documents which are part of large, changing and diverse sets of data, whose effective processing can lead, and frequently does lead, to new knowledge being discovered. However, the overwhelming majority of the resources available today require specialized tools and techniques for identifying, searching, collecting and organizing the large volumes of data. This also applies to data directly related to the activities of institutions dealing in information or the field of information science, especially the theory and practice of accessing, searching and collecting documents. The purpose of this article is to present selected issues and challenges related to exploring the possibilities offered by big data from the perspective of information science, the activities of libraries and the information resources they offer. Based on a critical analysis of the relevant literature and with use of inductive reasoning, experiments and observations, selected aspects of digital document accessibility and classification are presented, in addition to issues related to searching and identifying resources using tools currently offered by libraries (in particular discovery systems).
Źródło:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2019, 3 (80); 4-9
1731-6758
1731-7428
Pojawia się w:
e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Small Farms as “Data Producers” for the Needs of Agricultural Management Information System
Autorzy:
Zysk, Elżbieta
Mroczkowski, Tomasz
Dawidowicz, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2105521.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Agriculture Management Information System
agriculture
information technology
big data
precision agriculture
Opis:
In the face of current global threats, including the COVID-19 Pandemic, new technological solutions are needed. Globalization, progressing urbanization, the decreasing availability of cultivable land for food production, water contamination, flood risk and climate change, can all be viewed as potential threats to food safety. According to forecasts and trends, the future of both agricultural policy and agricultural innovation will be based on big data, data analytics and machine learning. Therefore, it is and will continue to be important to develop information systems dedicated to agricultural innovation and the management of food security challenges. The main aim of the study is a classification of data for a uniform AMIS from data from IREIS, GC and AIIS based on survey and expert interview data obtained. We propose to expand the range of data produced by small farmers while keeping in mind the protection of farmers and their rights and the possible benefits of the data provided. The literature recognizes the value of such data but it has not yet been legally regulated, protected, managed and, above all, properly used for agricultural and food security policy purposes. Therefore, we develop the idea of extended farmers’ participation in the production of agricultural activity data. The research used a survey questionnaire and expert interviews. A viable AIIS needs current data that farmers already produce as well as additional data needs which we identify in our research. We propose an architecture of databases and describe their flow in the Agriculture Management Information System (AMIS).
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 3; 79--109
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementation of Industry 4.0 Techniques in Lean Production Technology: A Literature Review
Autorzy:
Lucantoni, Laura
Antomarioni, Sara
Ciarapica, Filippo Emanuele
Bevilacqua, Maurizio
Powiązania:
https://bibliotekanauki.pl/articles/2172180.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
industry 4.0
lean management
total productive maintenance
big data analytics
VOSviewer
Opis:
Lean thinking and Industry 4.0 have been broadly investigated in recent years in intelligent manufacturing. Lean Production is still one of the most efficient industrial solutions in business and research, despite being implemented for a long time. On the other hand, Industry 4.0 has been introduced referring to the fourth industrial revolution. This study aims to analyze the combination of both Industry 4.0 and Lean production practices through a systematic literature review from a Lean Automation perspective. In this field, 189 articles are examined using VOSviewer for cluster analysis. Then, a more detailed analysis is provided to explore how Industry 4.0 and Lean techniques are integrated from a practical perspective. Results highlighted Big Data Analysis and Value Stream Mapping as the most common techniques, also emphasizing a growing trend toward new publications. Nevertheless, few practical applications are identified in the literature highlighting six gaps in the correlation of LA practices.
Źródło:
Management and Production Engineering Review; 2022, 13, 3; 83--93
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
How can soft skills be integrated into the process in a helpful way when deciding on an investment request? Intangible asset management and conversation analysis as possible tools for investors
Autorzy:
Lange, Jürgen
Markovic, Peter
Powiązania:
https://bibliotekanauki.pl/articles/2130028.pdf
Data publikacji:
2020
Wydawca:
Instytut Studiów Międzynarodowych i Edukacji Humanum
Tematy:
Investment
Investors
Business Start-up
Intangible Asset Management
Big Data
Communication Analysis
Opis:
According to the latest reports, obtaining a loan as a company seems to be becoming increasingly easy, but it is still noticeable that a good quarter of small and young companies in the start-up phase in particular are still being turned down for financing. In order not to make the failure rate dependent on mathematical-scalable values alone and to give the really good companies and business ideas a realistic chance, more soft skills must be included in the decision-making process in addition to the pure hard facts. Solutions could be found here in Intangible Asset Management and a more in-depth credit discussion analysis with the help of Big Data possibilities.
Źródło:
Humanum. Międzynarodowe Studia Społeczno-Humanistyczne; 2020, 2(37); 107-117
1898-8431
Pojawia się w:
Humanum. Międzynarodowe Studia Społeczno-Humanistyczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 24

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