A5039609576- Technology Adoption and User Behaviour
- Digital Marketing and Social Media
- Radiomics and Machine Learning in Medical Imaging
- Impact of Technology on Adolescents
- Ethics in Business and Education
- Medical Imaging and Analysis
- Housing Market and Economics
- Diverse Topics in Contemporary Research
- AI in cancer detection
- Consumer Perception and Purchasing Behavior
- Forecasting Techniques and Applications
- Educational Games and Gamification
- Corporate Social Responsibility Reporting
- Sharing Economy and Platforms
- Migration, Ethnicity, and Economy
- Safety and Risk Management
- Brain Tumor Detection and Classification
- Innovative Human-Technology Interaction
- Virtual Reality Applications and Impacts
- Financial Distress and Bankruptcy Prediction
- Nutrition, Health and Food Behavior
- Digital Games and Media
- AI in Service Interactions
- Rough Sets and Fuzzy Logic
- Economic and Environmental Valuation
Beijing University of Posts and Telecommunications
2024
University of Nottingham Ningbo China
2021-2023
Renmin University of China
2019
This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated key analyses for 29 original strategic management effects in same context (direct reproduction) as well 52 novel time periods and geographies; 45% reproductions returned results matching reports together with 55% tests different spans years 40% geographies. Some were associated multiple new tests. Reproducibility was best predictor...
Purpose This article aims to develop and validate a theoretical model via survey data identify the affordances challenges influencing metaverse adoption. We specifically examine impact of immersion on users' adoption decisions which predict this immersion. Additionally, paper assesses importance perceived risks in decision-making processes regarding future engagement. Design/methodology/approach Using regression models applied 198 responses, we tested our proposed model. To deepen insights,...
Purpose Online reviews are regarded as a source of information for decision-making because the abundance and ready availability information. Whereas, sheer volume online makes it hard consumers, especially older adults who perceive more difficulties in reading obtaining compared to younger adults, locate useful ones. The main objective this study is propose an effective method valuable mobile phones adults. Besides, authors also want explore what characteristics technology prefer. This will...
The purpose of this study is to predict enterprises' financial fraud. After collecting data and employing feature selection methods, totally eight features are selected. We select two best-performance machine learning models according five indicators including accuracy, recall, specificity, AUC the misclassification cost. Besides, an optimal weighted model, based on models, proposed results confirm its good performance in forecasting
Adapting large pre-trained foundation models, e.g., SAM, for medical image segmentation remains a significant challenge. A crucial step involves the formulation of series specialized prompts that incorporate specific clinical instructions. Past works have been heavily reliant on singular type prompt each instance, necessitating manual input an ideally correct prompt, which is less efficient. To tackle this issue, we propose to utilize different granularity, are sourced from original images...
Firms caught fire for being socially irresponsible, despite the importance of observers’ expectations on corporate social responsibility. Currently, our understanding attributions irresponsible events is limited. Extending literature responsibility and irresponsibility, we examined antecedents consequences irresponsibility (CSiR) attributions. Consistent with Lange Washburn’s (2012) theoretical framework, results from three scenario-based experiments indicate that CSiR are affected by their...