Web scraping for hospitality research: Overview, opportunities, and implications

S Han, CK Anderson - Cornell Hospitality Quarterly, 2021 - journals.sagepub.com
As consumers increasingly research and purchase hospitality and travel services online,
new research opportunities have become available to hospitality academics. There is a …

When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?

TM Choi, S Guo, S Luo - Transportation Research Part E: Logistics and …, 2020 - Elsevier
Social media analytics is very critical in modern supply chain operations management
(SCOM). However, in terms of methods, conducting social media analytics (SMA) for SCOM …

Customer segmentation by web content mining

J Zhou, J Wei, B Xu - Journal of Retailing and Consumer Services, 2021 - Elsevier
This article introduces a new dimension, Interpurchase Time (T), into the existing RFM
(Recency, Frequency, and Monetary) model to form an expanded RFMT model for parsing …

Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences

A Luscombe, K Dick, K Walby - Quality & Quantity, 2022 - Springer
Web scraping, defined as the automated extraction of information online, is an increasingly
important means of producing data in the social sciences. We contribute to emerging social …

Web scraping for food price research

J Hillen - British Food Journal, 2019 - emerald.com
Purpose The purpose of this paper is to discuss web scraping as a method for extracting
large amounts of data from online sources. The author wants to raise awareness of the …

Research under the GDPR–a level playing field for public and private sector research?

P Quinn - Life Sciences, Society and Policy, 2021 - Springer
Scientific research is indispensable inter alia in order to treat harmful diseases, address
societal challenges and foster economic innovation. Such research is not the domain of a …

Is a large award truly attractive to solvers? The impact of award size on crowd size in innovation contests

Z Liu, MR Hatton, T Kull, K Dooley… - Journal of Operations …, 2021 - Wiley Online Library
Firms increasingly use human crowds to solve their innovation related needs. Innovation
sourcing managers who sponsor innovation contests seek to maximize crowd size to …

Carrier bidding behavior in truckload spot auctions

A Scott - Journal of Business Logistics, 2018 - Wiley Online Library
When a shipper urgently needs truckload service, they often utilize the spot market. But
despite its importance, little is known about this market. I analyze a longitudinal data set of …

Analysis of fire accident factors on construction sites using web crawling and deep learning approach

J Kim, S Youm, Y Shan, J Kim - Sustainability, 2021 - mdpi.com
Fire safety on construction sites has been rarely studied because fire accidents have a lower
occurrence compared to construction's “Fatal Four”. Despite the lower occurrence …

Copyright law and the lifecycle of machine learning models

M Kretschmer, T Margoni, P Oruç - IIC-International Review of Intellectual …, 2024 - Springer
Abstract Machine learning, a subfield of artificial intelligence (AI), relies on large corpora of
data as input for learning algorithms, resulting in trained models that can perform a variety of …