A systematic review of customer behavior in business-to-business markets and agenda for future research

RG Bilro, SMC Loureiro, P Souto - Journal of Business & Industrial …, 2023 - emerald.com
Purpose The purpose of this paper is to offer a comprehensive overview of current research
on customer behavior in the business-to-business (B2B) context and propose a research …

Twitter topic classification

D Antypas, A Ushio, J Camacho-Collados… - arxiv preprint arxiv …, 2022 - arxiv.org
Social media platforms host discussions about a wide variety of topics that arise everyday.
Making sense of all the content and organising it into categories is an arduous task. A …

A systematic literature review of weak signal identification and evolution for corporate foresight

D Zhao, Z Tang, D He - Kybernetes, 2024 - emerald.com
Purpose With the intensification of market competition, there is a growing demand for weak
signal identification and evolutionary analysis for enterprise foresight. For decades, many …

Research on the weak demand signal identification model of innovative product based on domain ontology construction

D Zhao, Z Tang, F Sun - Kybernetes, 2024 - emerald.com
Purpose This paper investigates the semantic association mechanisms of weak demand
signals that facilitate innovative product development in terms of conceptual and temporal …

Luxury tourism: where we go from now?

A Japutra, SMC Loureiro, T Li, RG Bilro… - Asia Pacific Journal of …, 2022 - Taylor & Francis
This research conducted a systematic review of articles on luxury consumption in tourism,
specifically, its conceptualization, pre-consumption influential factors, and post-consumption …

Identifying low-quality patterns in accident reports from textual data

JB Macedo, PMS Ramos, CBS Maior… - … of occupational safety …, 2023 - Taylor & Francis
Accident investigation reports provide useful knowledge to support companies to propose
preventive and mitigative measures. However, the information presented in accident report …

An innovative method for improving hotel service using implicit requirement generation and quality function deployment

M Zhao, Y Zhang, C Zhang, Y Wang - Journal of Retailing and Consumer …, 2025 - Elsevier
This study addresses the challenge of implicitly expressed traveler requirements in user-
generated content (UGC). It proposes an innovative method to assist service managers in …

Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission

Y Wang, AWZ Chew, L Zhang - Applied Soft Computing, 2022 - Elsevier
Public sentiments towards global pandemics are important for public health assessment and
disease control. This study develops a modularized deep learning framework to quantify …

Innovation signals: leveraging machine learning to separate noise from news

C Mühlroth, L Kölbl, M Grottke - Scientometrics, 2023 - Springer
The early detection of and an adequate response to meaningful signals of change have a
defining impact on the competitive vitality and the competitive advantage of companies. For …

Cross-media web video topic detection based on heterogeneous interactive tensor learning

C Zhang, K Mei, X **ao - Knowledge-Based Systems, 2024 - Elsevier
Topic detection based on text reasoning has attracted widespread attention. Existing
methods focus on inference based on textual semantic cues. However, each video is …