- Diverse Aspects of Tourism Research
- Digital Marketing and Social Media
- Consumer Behavior in Brand Consumption and Identification
- Interpreting and Communication in Healthcare
- Behavioral Health and Interventions
- Customer Service Quality and Loyalty
- Sharing Economy and Platforms
- Translation Studies and Practices
- Job Satisfaction and Organizational Behavior
- Sport and Mega-Event Impacts
- Migration, Aging, and Tourism Studies
- Environmental Education and Sustainability
- Corporate Identity and Reputation
- Employer Branding and e-HRM
- Aviation Industry Analysis and Trends
- Consumer Retail Behavior Studies
- Global Healthcare and Medical Tourism
- Diverse Topics in Contemporary Research
- Wine Industry and Tourism
- Conferences and Exhibitions Management
- Sentiment Analysis and Opinion Mining
- E-commerce and Technology Innovations
- Environmental Sustainability in Business
- Stock Market Forecasting Methods
- Religious Tourism and Spaces
Nankai University
2011-2025
Zhejiang Ocean University
2003-2019
East China Normal University
2005
Compared with coarse-grained forecasting, fine-grained tourism demand forecasting is a more challenging task, but research on this issue very scarce. To address issue, decomposition ensemble deep learning model proposed by integrating CEEMDAN, CNNs, LSTM networks, and AR models. The CEEMDAN can decompose complex data into multiple components simpler characteristics, thereby reducing the complexity of forecasting. CNNs networks fully capture locally recurring patterns long-term dependencies...
In light of the prevalence travel conflict between young adult children and their parents, it is critical to examine how can be effectively resolved. A mixed-methods approach was adopted in this study, which used interviews three experiments resolve with parents what factors affect resolution. The results have following implications. (1) Two main styles resolution are by children, namely ‘doing I want’ (i.e. self-assertion, persuasion) as expect’ self-sacrifice, compliance). (2) attribution...
To forecast the tourism demand across a set of tourist attractions with spatial dependence, new model is proposed, which has three stages: attraction selection, base predictor generation, and combination. In stage 1, method for selecting associated based on multi-dimensional scaling used to determine strength dependence between each pair attractions. 2, hybrid LSTM networks Autoregressive developed, where are capture among attractions, scale volume at attraction. 3, strategy combining these...
ABSTRACTDrawing on framing theory and construal level theory, this study conducted two experiments (N = 201 + 200) to examine the causal relationship between message strategies changes in pro-environmental behavioral intentions (PEBI). The results revealed that persuasiveness of gain-loss emotional-rational appeal varies depending social distance. This also verified mediating role perceived effort worthiness. Green involvement moderated mediation effect above worked better for people with...
Despite the increasing attention given to tourism regulation in recent years, great ambiguity surrounds this concept and no valid reliable instrument exists measure market (TMR). This study uses multi-step mixed methods develop a measurement scale of TMR from perspective tourists. In first step, interviews focus groups are undertaken formulate clear definition its attributes. second development procedure is adopted analyze two rounds data for dimension exploration via exploratory factor...
Faced with aging challenges, some seniors are adapting by embracing active lifestyles, and frequently engaging in tourism activities, which promote diverse travel-sharing behaviors. Despite this, studies often overlook the specific value complexity of behaviors among seniors, instead focusing on younger cohorts. Our research fills that gap investigating senior travel sharing introducing capitalization as a theoretical concept to describe positive mechanism. We developed model for this based...
Although pursuing health and restoration has become a salient motivation for contemporary tourists, the transformative process of how health-seeking tourists achieve in wellness tourism destinations remains unclear. Grounded goal systems theory cognitive appraisal theory, this study investigated tourists’ recovery-acquisition process. Through analyses 390 on-site survey questionnaires collected Dujiangyan, China, result revealed salience significantly predicted perceived destination...
Purpose Online employee reviews have a substantial impact on recruitment, retention and the overall perception of company’s image, making them crucial element its online reputation. Consequently, these play vital role in shaping competitiveness talent market. This study aims to investigate loyalty reputation tourism hospitality sector. Design/methodology/approach collected posted by 334,428 employees across 173 companies Then, this proposed method for measuring toward company through text...
This study examined conflict in family trips taken by young adult children and parents the causes of such conflict. A three-step analysis data derived from netnographic interview approaches. The result revealed four types both pre-travel in-transit travel stages which included choice consumption, involvement level, schedule, uncivil parental behavior. These conflicts appear to be caused intergenerational differences personal characteristics. findings enrich understanding complexity travel,...
Active ageing is a widely recognized notion that highlights seniors’ positive value and vitality, dissolving stereotypes by acknowledging heterogeneity. Currently, as an increasing number of senior visitors share trips, tourism has emerged practical means to foster image ageing. However, what images are conveyed the process which stories presented unclear. To bridge gap in travel sharing, this study employed narrative analysis method based on semistructured interviews with 49 Chinese...
With the intensification of global competition in airline companies, understanding employee satisfaction has become increasingly crucial for company development. This study aims to explore dynamic and asymmetric relationship between its influencing factors, considering both temporal spatial dimensions. We collected 23,112 employee-generated data items across 126 airlines Asia North America, employing penalty-reward contrast analysis examination. The principal research findings suggest that...
To address the issue of tourism demand forecasting in context concept drift, a new ensemble deep learning model based on transformer is proposed, which includes three parts: data processing, base predictor pool construction, selection and combination. In first part, relevant are collected converted into input form required by transformer. second containing multiple predictors constructed, where each can capture specific from historical data. final algorithm proposed to select 'effective...
With the advent of China's aging society, elderly have become an important force in tourism activities and consumption. Senior has gradually focus social attention. In this context, national government departments some local governments formulated a series policies standards related to senior promote development industry, which reflects increasingly role economy development. The aim paper is introduce background policy formulation, specific content standards, its impact on research practice.
Drawing on the premise that organizational justice theory is culture-bound and Gilliland's (1993) model of applicants' reactions to employment selection, current paper proposes a conceptual framework in which cultural value differences influence perceptions fairness toward selection procedures work outcomes. This Chinese culture-based takes traditionality as core antecedent perceived an important moderator between The theoretical practical implications this are discussed.
Despite the growing body of literature on policies and their effects, few studies have examined asymmetric effect public at varying levels stringency tourism industry. Using policy response to COVID-19 pandemic as a case, this study quantifies non-linear effects by examining impacts various containment recovery among 115 countries/regions internationally. Our findings show that impeded global recovery, expected. However, negative impact appeared disproportionately larger when measures were...