...Zulqurnain Ali Purpose Digital technologies such as big data drive operational excellence, yet their role in enhancing viable, sustainable and digital supply chain performance (VSDSCP) through supply chain connectivity ( SCC ) and innovation remains underexplored. Grounded in dynamic capability...

..., and also neglects the role of vicarious learning in prototype-based experiential learning. In a data-rich environment, market big data create new opportunities to learn from vicarious, digitalized experiences that are not observable with prototype-based learning. Therefore, the purpose of this study...

... base of big data and its integration with a larger knowledge base of ChatGPT. Findings This viewpoint conceptualizes integrating knowledge management and ChatGPT for improved organizational decision-making. By facilitating efficient information retrieval, personalized learning, collaborative...

... preference and purchase. First, the method uses interactive big data to predict a potential consumer’s decision possibility. Then, the method mines the correlation between consumer decision possibility and various factors affecting consumer behavior. Finally, the machine learning algorithm is used...

... protection Social media Big data Since strong sociality and convenience of social media, growing users engage in sharing their information publicly (Cavusoglu et al., 2016 ; Trepte et al., 2020), much of which is private in terms of daily work and personal life (Mosteller...

...Voon Hsien Lee; Pik-Yin Foo; Tat-Huei Cham; Teck-Soon Hew; Garry Wei-Han Tan; Keng-Boon Ooi Purpose This research investigates the mechanism by which big data capability enables superior supply chain resilience (SCRe) by empirically examining the links among big data analytics (BDA), supply chain...

...) Source(s): The author's own creation/work © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Crowdfunding Color complexity Socialness Big data Machine learning Crowdfunding is fast becoming recognized as a formidable engine...

... for the editing and publishing of articles, helping blood banks improve the effectiveness of publicity and recruitment. © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Healthcare management Big data Social media Articles Blood donation behavior...

... intelligent monitoring supported by the large amount of data available today (Buhalis and Amaranggana, 2013). Smart tourism Smart destination Smart business Artificial intelligence Data mining Big data Smart tourism system Analytical hierarchy process Information and communication technology...

...Zhe Jing; Yan Luo; Xiaotong Li; Xin Xu Purpose A smart city is a potential solution to the problems caused by the unprecedented speed of urbanization. However, the increasing availability of big data is a challenge for transforming a city into a smart one. Conventional statistics and econometric...

..., such as informal activities, emerges in the upstream SC influence to the firms’ reputations and revenue (Silvestre, 2015). Sustainable supply chain finance Big data Fuzzy Delphi method Entropy weight method Fuzzy decision-making trial and evaluation laboratory Supply chain finance (SCF...

...Shuyang Li; Guo Chao Peng; Fei Xing Purpose Big data is a key component to realise the vision of smart factories, but the implementation and usage of big data analytical tools in the smart factory context can be fraught with challenges and difficulties. The purpose of this paper is to identify...

...Neha Verma; Jatinder Singh Purpose The purpose of this paper is to explore various limitations of conventional mining systems in extracting useful buying patterns from retail transactional databases flooded with Big Data. The key objective is to assist retail business owners to better understand...

...Qianling Chen; Min Zhang; Xiande Zhao Purpose Big data produced by mobile apps contains valuable knowledge about customers and markets and have been viewed as productive resources. The purpose of this paper is to propose a multiple methods approach to elicit intelligence and value from big data...

... in the emission of NO_x in the combustion process. Research limitations/implications Once the framework is integrated into the power generation process, it is important to ensure that the top management and the data analysts at the plants have the same perceptions of the benefits of big data...

...Marco Comuzzi; Anit Patel Purpose While it is commonly recognised that Big Data have an immense potential to generate value for business organisations, appropriating value from Big Data and, in particular, Big Data-enabled analytics is still an open issue for many organisations. The purpose...

...Shi Cheng; Qingyu Zhang; Quande Qin Purpose – The quality and quantity of data are vital for the effectiveness of problem solving. Nowadays, big data analytics, which require managing an immense amount of data rapidly, has attracted more and more attention. It is a new research area in the field...

...Dr Xiaojun Wang, Professor Leroy White and Professor Xu Chen; Wasim Ahmad Bhat; S.M.K. Quadri Purpose – The purpose of this paper is to explore the challenges posed by Big Data to current trends in computation, networking and storage technology at various stages of Big Data analysis. The work...

...Dr Xiaojun Wang, Professor Leroy White and Professor Xu Chen; Joseph Amankwah-Amoah Purpose – Although big data have emerged at the cornerstone of business and management research, past studies have failed to offer explanations and classifications of different levels of capacity and expertise...

...Dr Xiaojun Wang, Professor Leroy White and Professor Xu Chen; Eugene Ch'ng Purpose – The purpose of this paper is to present a Big Data solution as a methodological approach to the automated collection, cleaning, collation, and mapping of multimodal, longitudinal data sets from social media...