Sustainable performance and green innovation: Green human resources management and big data as antecedents
Green human resource management (GHRM) practices and Big Data are considered to be
important antecedents of green innovation and sustainable performance. In this article, a …
important antecedents of green innovation and sustainable performance. In this article, a …
Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction
W Kratsch, J Manderscheid, M Röglinger… - Business & Information …, 2021 - Springer
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …
of business processes at runtime. It helps identify problems before they occur and re …
[HTML][HTML] Big data analytics: Implementation challenges in Indian manufacturing supply chains
Abstract Big Data Analytics (BDA) has attracted significant attention from both academicians
and practitioners alike as it provides several ways to improve strategic, tactical and …
and practitioners alike as it provides several ways to improve strategic, tactical and …
An integrated framework for health state monitoring in a smart factory employing IoT and big data techniques
With the rapid growth in the use of various smart digital sensors, the Internet of Things (IoT)
is a swiftly growing technology, which has contributed significantly to Industry 4.0 and the …
is a swiftly growing technology, which has contributed significantly to Industry 4.0 and the …
Big data management capabilities in the hospitality sector: Service innovation and customer generated online quality ratings
Despite the wide usage of big data in tourism and the hospitality sector, little research has
been done to understand the role of organizations' capability of managing big data in value …
been done to understand the role of organizations' capability of managing big data in value …
An efficient radix trie‐based semantic visual indexing model for large‐scale image retrieval in cloud environment
In recent years, massive growth in the number of images on the web has raised the
requirement of developing an effective indexing model to search digital images from a large …
requirement of developing an effective indexing model to search digital images from a large …
A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018
Z Inamdar, R Raut, VS Narwane, B Gardas… - Journal of Enterprise …, 2021 - emerald.com
Purpose The volume of data being generated by various sectors in recent years has
increased exponentially. Consequently, professionals struggle to process essential data in …
increased exponentially. Consequently, professionals struggle to process essential data in …
Enhancing coffee supply chain towards sustainable growth with big data and modern agricultural technologies
Y Kittichotsatsawat, V Jangkrajarng, KY Tippayawong - Sustainability, 2021 - mdpi.com
Modern agricultural technology management is nowadays crucial in terms of the economy
and the global market, while food safety, quality control, and environmentally friendly …
and the global market, while food safety, quality control, and environmentally friendly …
Big data resource management & networks: Taxonomy, survey, and future directions
FM Awaysheh, M Alazab, S Garg… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …
broader computer network and communication community. For several years, dedicated …
Big data quality framework: a holistic approach to continuous quality management
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …
support their analytics decisions. Big Data refers to all about data, how it is collected …