A systematic review of customer behavior in business-to-business markets and agenda for future research
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 …
on customer behavior in the business-to-business (B2B) context and propose a research …
Twitter topic classification
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 …
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 …
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 …
signals that facilitate innovative product development in terms of conceptual and temporal …
Luxury tourism: where we go from now?
This research conducted a systematic review of articles on luxury consumption in tourism,
specifically, its conceptualization, pre-consumption influential factors, and post-consumption …
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 …
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 …
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 …
disease control. This study develops a modularized deep learning framework to quantify …
Innovation signals: leveraging machine learning to separate noise from news
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 …
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 …
methods focus on inference based on textual semantic cues. However, each video is …