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1-17 of 17
Keywords: Big Data
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Journal Articles
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
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
Journal:
Kybernetes
Kybernetes (2025) 54 (1): 110–133.
Published: 12 October 2023
... retailer (Cui et al., 2018). The aforementioned studies focus on analyzing demand information at the aggregate level. In contrast, in the era of big data, we consider how to effectively use of multisource data and efficiently extract the key features of demand information simultaneously. We...
Journal Articles
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
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
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
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
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
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
Journal:
Kybernetes
Kybernetes (2021) 50 (10): 2753–2789.
Published: 14 June 2021
... in two stages. In the first stage, 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...
Journal Articles
Journal:
Kybernetes
Kybernetes (2022) 51 (1): 165–209.
Published: 22 February 2021
...) suggested that the big data from network help understand the real-time behaviour of human beings. Besides, many scholars use online crawlers to conduct online consumer behaviour research (Kostyra et al., 2016). Capturing big data on the network to analyse online consumer behaviour fills gaps...
Journal Articles
Journal:
Kybernetes
Kybernetes (2021) 50 (6): 1689–1703.
Published: 24 July 2020
... 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 image is a green image, which restaurants can develop...
Journal Articles
Journal:
Kybernetes
Kybernetes (2019) 48 (2): 287–297.
Published: 04 February 2019
... analyses that merely provide information on current data, the authors use orbit analysis to forecast, if attractors are found, the behaviour of tourist variables in the immediate future. Big data Attractor Invariant set Orbits Tourist variables Our basis for studying tourism and tourist...
Journal Articles
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
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
Journal:
Kybernetes
Kybernetes (2018) 47 (2): 307–320.
Published: 12 December 2017
... references to literature in quantum information retrieval. Nevertheless, the analogies suggest possible convergences. Francesco Galofaro can be contacted at: francesco.galofaro@polimi.it © Emerald Publishing Limited 2018 Emerald Publishing Limited Licensed re-use rights only Big Data...
Journal Articles
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...
