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  • Search: subject:"Big Data Analytics"
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Year of publication
Subject
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Big Data 479 Big data 475 Data Mining 358 Data mining 358 Big data analytics 284 big data analytics 117 Lieferkette 90 Supply chain 90 Artificial intelligence 84 Firm performance 82 Künstliche Intelligenz 81 Unternehmenserfolg 79 Big Data Analytics 71 Digitalisierung 50 Innovation 49 Digitization 48 Information management 46 Informationsmanagement 46 Sustainability 44 Betriebliches Informationssystem 42 Business intelligence system 42 Dynamic capabilities 42 Nachhaltigkeit 41 Dynamische Kompetenzen 38 Innovationsmanagement 35 Innovation management 34 Social Web 34 Social web 34 Nachhaltige Entwicklung 33 Sustainable development 33 Competitive advantage 30 Resource-based view 29 Ressourcenorientierter Ansatz 28 Wettbewerbsvorteil 27 Big data analytics capability 26 Big data analytics capabilities 24 Forecasting model 24 Prognoseverfahren 24 Industrie 22 Manufacturing industries 22
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Online availability
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Undetermined 443 Free 135 CC license 45
Type of publication
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Article 569 Book / Working Paper 31
Type of publication (narrower categories)
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Article in journal 445 Aufsatz in Zeitschrift 445 research-article 44 Article 24 Aufsatz im Buch 22 Book section 22 Aufsatzsammlung 9 Graue Literatur 9 Non-commercial literature 9 review-article 8 Working Paper 6 Conference paper 5 Konferenzbeitrag 5 Konferenzschrift 4 review 4 Arbeitspapier 3 Conference Paper 3 Hochschulschrift 3 Collection of articles of several authors 2 Sammelwerk 2 Case study 1 Collection of articles written by one author 1 Fallstudie 1 Preprint 1 Sammlung 1 case-report 1 conceptual-paper 1 viewpoint 1
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Language
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English 588 German 10 Undetermined 2
Author
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AL-Khatib, Ayman Wael 10 Akter, Shahriar 10 Wamba, Samuel Fosso 10 Mikalef, Patrick 9 Dubey, Rameshwar 6 Shokouhyar, Sajjad 6 Dwivedi, Yogesh K. 5 Feng, Taiwen 5 Gunasekaran, Angappa 5 Kumar, Anil 5 Vom Brocke, Jan 5 Chatterjee, Sheshadri 4 Chaudhuri, Ranjan 4 Edgeman, Rick 4 Elia, Gianluca 4 Fantazy, Kamel 4 Kazancoglu, Yigit 4 Kristoffersen, Eivind 4 Krogstie, John 4 Kumar, Ajay 4 Mangla, Sachin Kumar 4 Moser, Roger 4 Narayanamurthy, Gopalakrishnan 4 Raguseo, Elisabetta 4 Solazzo, Gianluca 4 Tipu, Syed Awais Ahmad 4 Wagner, Joachim 4 Wang, Yichuan 4 Agrawal, Rohit 3 Bag, Surajit 3 Behl, Abhishek 3 Blomsma, Fenna 3 Bryde, David J. 3 Chang, Younghoon 3 Cheng, T. C. E. 3 Childe, Stephen J. 3 Côrte-Real, Nadine 3 Delen, Dursun 3 Dolgui, Alexandre 3 Ferraris, Alberto 3
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Institution
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Conference on Pathways to Sustainable Economy: A Banking and Finance Perspective (SEBF) <2023, Bombay> 1 ENTER 2023 eTourism Conference <30., 2023, Johannesburg> 1 Edward Elgar Publishing 1 International Conference of the International Association of Cultural and Digital Tourism <10., 2023, Chania> 1
Published in...
All
Technological forecasting & social change : an international journal 31 Journal of business research : JBR 25 International journal of production research 14 Information & management : the internat. journal of management processes and systems ; journal of IFIP Users Group 13 Business process management journal 12 Industrial Management & Data Systems 11 Journal of management analytics 11 Industrial marketing management : the international journal for industrial and high-tech firms 10 International journal of production economics 10 Journal of Enterprise Information Management 9 Journal of open innovation : technology, market, and complexity 8 Strategic Direction 7 Business strategy and the environment 6 Tourism management : research, policies, practice 6 Transportation research / E : an international journal 6 Benchmarking : an international journal 5 Business Process Management Journal 5 Journal of innovation & knowledge : JIK 5 Journal of retailing and consumer services 5 Benchmarking: An International Journal 4 Cogent Business & Management 4 Cogent business & management 4 HMD : Praxis der Wirtschaftsinformatik 4 IEEE transactions on engineering management : EM 4 Journal of management information systems : JMIS 4 Production and operations management : the flagship research journal of the Production and Operations Management Society 4 Springer Proceedings in Business and Economics 4 Springer eBook Collection 4 Controlling : Zeitschrift für erfolgsorientierte Unternehmenssteuerung 3 European journal of innovation management 3 Information systems and e-business management : ISeB 3 Information systems management 3 International journal of business information systems : IJBIS 3 International journal of hospitality management 3 International journal of logistics : research and applications 3 International journal of logistics systems and management : IJLSM 3 Journal of Open Innovation: Technology, Market, and Complexity 3 Management decision 3 Management information systems : mis quarterly 3 Operations management research : OMR ; advancing practice through theory 3
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Source
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ECONIS (ZBW) 490 Other ZBW resources 76 EconStor 32 RePEc 2
Showing 171 - 180 of 600
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No Longer Out of Sight, No Longer Out of Mind? How Organizations Engage with Process Mining-Induced Transparency to Achieve Increased Process Awareness
Eggers, Julia; Hein, Andreas; Böhm, Markus; Krcmar, Helmut - In: Business & Information Systems Engineering 63 (2021) 5, pp. 491-510
In recent years, process mining has emerged as the leading big data technology for business process analysis. By extracting knowledge from event logs in information systems, process mining provides unprecedented transparency of business processes while being independent of the source system....
Persistent link: https://www.econbiz.de/10014502095
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Prospects of artificial intelligence and machine learning application in banking risk management
Milojević, Nenad; Redzepagic, Srdjan - In: Journal of Central Banking Theory and Practice 10 (2021) 3, pp. 41-57
measured and well-prepared further application of artificial intelligence, machine learning, deep learning and big data … analytics can have further positive impact, especially on the following risk management areas: credit, market, liquidity …
Persistent link: https://www.econbiz.de/10014558436
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Determinants factors of intention to adopt big data analytics in Malaysian public agencies
In: Journal of Industrial Engineering and Management (JIEM) 14 (2021) 2, pp. 269-293
Purpose: This research objective was to analyze factors affecting IT practitioners' behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models....
Persistent link: https://www.econbiz.de/10013326236
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Financial statistics and data analytics
Liu, Shuangzhe (contributor); Sathye, Milind (contributor) - 2021
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics...
Persistent link: https://www.econbiz.de/10012606038
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Challenges of big data adoption in Malaysia SMEs based on Lessig's modalities: A systematic review
Chuah, Min Hooi; Thurusamry, Ramayah - In: Cogent Business & Management 8 (2021) 1, pp. 1-8
This study aims to review the challenges of implementing big data analytics by Small and Medium Enterprises (SMES) in … of big data analytics adoption. This study assesses the implementation of Lessig's Four Modalities for the adoption of … big data analytics in Malaysia SMEs based on literature review findings. To identify the challenges of applying big data …
Persistent link: https://www.econbiz.de/10012657408
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Financial statistics and data analytics
Liu, Shuangzhe (ed.); Sathye, Milind (ed.) - 2021
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics...
Persistent link: https://www.econbiz.de/10012586728
Saved in:
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Challenges of big data adoption in Malaysia SMEs based on Lessig's modalities : a systematic review
Min Hooi Chuah; Ramayah Thurusamry - In: Cogent business & management 8 (2021) 1, pp. 1-8
This study aims to review the challenges of implementing big data analytics by Small and Medium Enterprises (SMES) in … of big data analytics adoption. This study assesses the implementation of Lessig’s Four Modalities for the adoption of … big data analytics in Malaysia SMEs based on literature review findings. To identify the challenges of applying big data …
Persistent link: https://www.econbiz.de/10012628896
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Adoption of big data analytics and its impact on organizational performance in higher education mediated by knowledge management
Marchena Sekli, Giulio Franz; De la Vega Hernández, … - In: Journal of open innovation : technology, market, and … 7 (2021) 4, pp. 1-22
generated, and technologies such as big data analytics are needed to create opportunities for open innovation by obtaining … valuable knowledge. The purpose of this paper is to investigate the factors that influence the adoption of big data analytics … compatibility, an adequate organizational data environment, and external support as factors required to adopt big data analytics …
Persistent link: https://www.econbiz.de/10012694747
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Determinants factors of intention to adopt big data analytics in Malaysian public agencies
Noor Zaidi Sahid; Mad Khir Johari Abdullah Sani; Siti … - In: Journal of industrial engineering and management : JIEM 14 (2021) 2, pp. 269-293
Purpose: This research objective was to analyze factors affecting IT practitioners' behavioral intentions in adopting (BDA) using a combination of Initial Trust Model (ITM), Unified Theory Of Acceptance And Use Of Technology (UTAUT) AND Task-Technology Fit (TTF) Model acceptance models....
Persistent link: https://www.econbiz.de/10012503223
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Architecting and developing big data-driven innovation (DDI) in the digital economy
Sultana, Saida; Akter, Shahriar; Kyriazis, Elias; … - In: Journal of global information management 29 (2021) 3, pp. 165-187
Persistent link: https://www.econbiz.de/10012508176
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