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Keywords: Big data
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Journal Articles
Analysing the role of modern information technologies in HRM: management perspective and future agenda
Available to Purchase
Journal:
Kybernetes
Kybernetes (2025) 54 (14): 7409–7434.
Published: 08 August 2024
...) and Big Data. Design/methodology/approach This study aims to contribute to the understanding of these trends by conducting a thorough bibliometric analysis using the Scopus database, encompassing research on HRM and Technology from 1991 to 2022. By employing citation analysis, co-citation analysis...
Journal Articles
Unravelling tourism destination's competitiveness using big data analytics: a comparative analysis
Available to Purchase
Journal:
Kybernetes
Kybernetes (2025) 54 (11): 6341–6366.
Published: 19 June 2024
... tourism destinations. Design/methodology/approach Big data research was conducted to answer the research questions. The data was collected on a social media platform focusing on three destinations in the Mediterranean region. Three methods were employed to analyse the data: sentiment analysis, topic...
Journal Articles
Data-driven optimization for production planning with multiple demand features
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Journal:
Kybernetes
Kybernetes (2025) 54 (1): 110–133.
Published: 12 October 2023
... production plans. In the era of big data, firms can access a massive amount of high-frequency data, e.g. web search/traffic data, Google Trend data, Facebook data and online clickstream data, collected through various intelligent devices and e-platforms. It is a challenging issue for firms to convert...
Journal Articles
Causal inference in the age of big data: blind faith in data and technology
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Journal:
Kybernetes
Kybernetes (2024) 53 (12): 5740–5748.
Published: 07 September 2023
...Fan Chao; Weibin Wang; Guang Yu Purpose In the era of big data, there is doubt about the significance of causal inference as a paramount scientific task in the social sciences. Meanwhile, data-mining techniques rooted in big data and artificial intelligence (AI) have infiltrated numerous aspects...
Journal Articles
The sustainable competitiveness of e-commerce development of IoT big data
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Journal:
Kybernetes
Kybernetes (2023) 52 (2): 643–658.
Published: 03 May 2022
...Jiangnan He; Xiaoyin Yin Purpose The purpose of this paper is to analyze the sustainable development of e-commerce. Design/methodology/approach This paper proposes to analyze the development of rural e-commerce based on the perspective of big data of the Internet of things, in order to achieve...
Journal Articles
Impact of big data usage on product and process innovation: the role of data diagnosticity
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Journal:
Kybernetes
Kybernetes (2023) 52 (9): 3178–3196.
Published: 01 March 2022
...Tuğba Tunc-Abubakar; Adnan Kalkan; A. Mohammed Abubakar Purpose In today's business environment, big data is viewed as the “new oil,” which is rapidly changing the traditional business models and mode of operations. According to commentaries and scholarly work, big data and its applications have...
Journal Articles
How does cloud computing help businesses to manage big data issues
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Journal:
Kybernetes
Kybernetes (2022) 51 (6): 1917–1948.
Published: 06 January 2022
...Ahmad Latifian Purpose Big data has posed problems for businesses, the Information Technology (IT) sector and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data...
Journal Articles
The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review
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Journal:
Kybernetes
Kybernetes (2023) 52 (5): 1643–1697.
Published: 30 December 2021
...Harsh M. Shah; Bhaskar B. Gardas; Vaibhav S. Narwane; Hitansh S. Mehta Purpose This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research...
Journal Articles
Pricing strategies of low-carbon enterprises in the Yellow River Basin considering demand information and traceability services
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Journal:
Kybernetes
Kybernetes (2023) 52 (1): 304–327.
Published: 09 November 2021
...Pan Liu; Xiaoyan Cui; Ziran Zhang; Wenwen Zhou; Yue Long Purpose The purpose of this paper is to solve new pricing issues faced by low-carbon companies in the Yellow River Basin, which is caused by the change of key pricing factors in the mixed appliance background of Big Data and blockchain...
Journal Articles
AI-driven platform enterprise maturity: from human led to machine governed
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Journal:
Kybernetes
Kybernetes (2021) 50 (10): 2753–2789.
Published: 14 June 2021
..., a review of the existing literature is performed to identify the types, barriers, drivers, challenges and opportunities of MMs in AI, Advanced Analytics and Big Data domains. In the second stage, a research framework is proposed to align company value chain with AI technologies and levels of the platform...
Journal Articles
Effect of weather on online food ordering
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Journal:
Kybernetes
Kybernetes (2022) 51 (1): 165–209.
Published: 22 February 2021
... businesses to make reasonable arrangements for inventory and marketing tactics. Wenbo Wang can be contacted at: 1172209052@ncepu.edu.cn 29 05 2020 21 11 2020 28 12 2020 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Big data...
Journal Articles
Understanding the relationship between green restaurant certification programs and a green restaurant image: the case of TripAdvisor reviews
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Journal:
Kybernetes
Kybernetes (2021) 50 (6): 1689–1703.
Published: 24 July 2020
... Publishing Limited Licensed re-use rights only Green practices Green restaurant Structural topic modeling Green image Big data In the competitive market environment of the restaurant industry, managing a positive brand image in the minds of consumers is critical. One such positive brand...
Journal Articles
A systemic and cybernetic perspective on causality, big data and social networks in tourism
Available to Purchase
Journal:
Kybernetes
Kybernetes (2019) 48 (2): 287–297.
Published: 04 February 2019
... that can be analysed using big data terms, which refer to a data set whose size exceeds the ability to search, capture, store, manage, analyse, etc. The technology allows the connection of different physical elements, services and spaces, and in the near future all the territorial elements...
Journal Articles
Towards a systems thinking based view for the governance of a smart city’s ecosystem: A bridge to link Smart Technologies and Big Data
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Journal:
Kybernetes
Kybernetes (2019) 48 (1): 108–123.
Published: 10 May 2018
...Francesco Caputo; Leonard Walletzky; Petr Štepánek Purpose This paper aims to investigate the role of Smart Technologies and Big Data as relevant dimensions in affecting the emerging social and economic dynamics of society with the aim to trace possible guidelines and pathways for decision makers...
Journal Articles
Analyzing Big Data through the lens of customer knowledge management: Evidence from a set of regional tourism experiences
Available to Purchase
Journal:
Kybernetes
Kybernetes (2018) 47 (7): 1348–1362.
Published: 09 January 2018
...Pasquale Del Vecchio; Giustina Secundo; Giuseppina Passiante Purpose This paper aims to demonstrate how customer knowledge management (CKM) can opportunely support the process of value creation from Big Data. Focusing on tourism as a knowledge-intensive industry, the paper tries to contribute...
Journal Articles
A quantum-based semiotic model for textual semantics
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Journal:
Kybernetes
Kybernetes (2018) 47 (2): 307–320.
Published: 12 December 2017
... to the different levels of “energy” of a word, but the approach is promising. Francesco Galofaro can be contacted at: francesco.galofaro@polimi.it © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Big Data Semiotics Semantics Information retrieval...
Journal Articles
Incremental kernel fuzzy c-means with optimizing cluster center initialization and delivery
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Journal:
Kybernetes
Kybernetes (2016) 45 (8): 1273–1291.
Published: 05 September 2016
...Runhai Jiao; Shaolong Liu; Wu Wen; Biying Lin Purpose The large volume of big data makes it impractical for traditional clustering algorithms which are usually designed for entire data set. The purpose of this paper is to focus on incremental clustering which divides data into series of data...
