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Framework for implementing big data analytics in Indian manufacturing : ISM-MICMAC and Fuzzy-AHP approach

Gupta, Amit; Goyal, Harshit - In: Information technology and management 22 (2021) 3, pp. 207-229

Persistent link: https://www.econbiz.de/10012616990

Kaliraj, P. (ed.); Thirupathi, Devi (ed.) - 2022 - 1st edition.

1. Data Science and Its ApplicationsPaul Abaraham and Lakshminarayanan2. Data, Data IntegrationPavan Gundarapu3. Forecasting Principles and Models : An Overview R. Vijayaraghavan4. Breaking Technology Barriers in Diabetes and Industry 4.0Krishnan Swaminathan, Thavamani, and D Palaniswami 5. Role...

Persistent link: https://www.econbiz.de/10013176592

A Paradigm for Measuring Sustainable Performance Through Big Data Analytics–Artificial Intelligence in Manufacturing Firms

Rashid, Aamir; Rasheed, Rizwana - 2022

(EPI), Green Supply Chain Collaboration (GSCC), and Sustainable Manufacturing (SM). Similarly, the results showed that EPI … performance in conjunction with Dynamic capability theory in the manufacturing industry of Pakistan. Therefore, this research …

Persistent link: https://www.econbiz.de/10013291868

Nowcasting industrial production using uncoventional data sources

Fornaro, Paolo - 2020

In this work, we rely on unconventional data sources to nowcast the year-on-year growth rate of Finnish indus-trial production, for different industries. As predictors, we use real-time truck traffic volumes measured automatically in different geographical locations around Finland, as well as...

Persistent link: https://www.econbiz.de/10012262657

Prescriptive control of business processes : new potentials through predictive analytics of big data in the process manufacturing industry

Krumeich, Julian; Werth, Dirk; Loos, Peter - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 261-280

Persistent link: https://www.econbiz.de/10011595260

An energy-aware cyber physical system for energy Big Data analysis and recessive production anomalies detection in discrete manufacturing workshops

Zhang, Chaoyang; Wang, Zhengxu; Ding, Kai; Chan, Felix … - In: International journal of production research 58 (2020) 23, pp. 7059-7077

Persistent link: https://www.econbiz.de/10012315577

Big data and firm-level productivity : a cross-country comparison

Andres, Raphaela; Niebel, Thomas; Sack, Robin - 2024

Until today, the question of how digitalisation and, in particular, individual digital technologies affect productivity is still the subject of controversial debate. Using administrative firm-level data provided by the Dutch and the German statistical offices, we investigate the economic...

Persistent link: https://www.econbiz.de/10014631814

Accounting index of COVID-19 impact on Chinese industries : a case study using big data portrait analysis

He, Pinglin; Niu, Hanlu; Sun, Zhe; Li, Tao - In: Emerging markets, finance & trade : a journal of the … 56 (2020) 10, pp. 2332-2349

Persistent link: https://www.econbiz.de/10012262017

The nexus of big data analytics, knowledge sharing, and product innovation in manufacturing

Yildiz, Bülent; Çiğdem, Şemsettin; … - In: Journal of business economics and management 25 (2024) 1, pp. 66-84

become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics … to gain an edge in their markets. Companies in the manufacturing sector can gain a significant competitive advantage by … product innovations' success at manufacturing firms. The validity and reliability of the measurement scales were first …

Persistent link: https://www.econbiz.de/10014540300

Big data analytics and exports : evidence for manufacturing firms from 27 EU countries

Wagner, Joachim - 2023 - This version: September 18, 2023

analytics and export activities in manufacturing enterprises from the 27 member countries of the European Union. We find that …

Persistent link: https://www.econbiz.de/10014365937