scholarly journals Research on the Influencing Factors of the Construction of Tourism and Leisure Characteristic Towns in Sichuan Province under the Background of New Urbanization

2021 ◽  
Author(s):  
Yi-ping WANG ◽  
Xian-li ZHANG
Keyword(s):  
Influencing Factors ◽  
Field Research ◽  
Economic Transformation ◽  
Sichuan Province ◽  
Tourism Industry ◽  
Scientific Development ◽  
Key Factors ◽  
Factors Affecting ◽  
Questionnaire Surveys ◽  
New Urbanization

Promoting the construction of characteristic towns under the background of new urbanization is an important way for my country to break the bottleneck of economic development and realize economic transformation and upgrading. In recent years, although the construction of characteristic towns in Sichuan Province has achieved remarkable results and a large number, especially tourist and leisure characteristic towns accounted for the largest proportion, they still face urgent problems such as avoiding redundant construction, achieving scientific development, and overall planning. This study takes 20 cultural tourism characteristic towns selected by the first batch of Sichuan Province as the research object, combined with field research and tourist questionnaire surveys, and screened out relevant influencing factors of characteristic towns from different aspects such as transportation, economy, industry, ecology, historical and cultural heritage. Analyze the correlation with the development level of characteristic towns in order to find out the key factors affecting the development of characteristic towns of this type, provide a policy basis for the scientific development and overall planning of reserve characteristic towns in our province, and contribute to the construction of new urbanization And provide advice and suggestions on the development of tourism industry in our province.

The Research of Key Factors Affecting the Implementation of Lean Construction

2013 ◽  
Vol 838-841 ◽  
pp. 3183-3189
Author(s):  
Shu Quan Li ◽  
Shao Pei Hu ◽  
De Hui Sun ◽  
Jing Li
Keyword(s):  
Construction Industry ◽  
Influencing Factors ◽  
Construction Projects ◽  
Rough Set Theory ◽  
Field Research ◽  
Lean Construction ◽  
Key Factors ◽  
Factors Affecting ◽  
Survey Questionnaires ◽  
Management Expert

The application of the ideas and methods of lean construction is still in its infancy in China's construction industry, there are still many factors that restrict the implementation of lean construction, and how to find the key influencing factors is worthy study. We summarized the 28 influencing factors of Implementation of lean construction through project management expert interviews and field research in the construction site, and conducted a survey of 300 construction projects, distributed 710 questionnaires. After analysis of the survey questionnaires by using rough set theory and stepwise discriminate analysis finalized the 14 key factors affecting the implementation of lean construction and construction project performance.

scholarly journals Key Factors Influencing Low-Carbon Behaviors of Staff in Star-Rated Hotels—An Empirical Study of Eastern China

2020 ◽  
Vol 17 (21) ◽  
pp. 8222
Author(s):  
Jie Li ◽  
Peng Mao ◽  
Hui Liu ◽  
Jiawei Wei ◽  
Hongyang Li ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Structural Equation ◽  
Eastern China ◽  
Consumer Attitude ◽  
Low Carbon ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
Multiple Dimensions ◽  
Perceived Behavior Control

To guide sustainable development in the hospitality industry requires hotel staff engagement, so what causes and how to facilitate the implementation of low-carbon behaviors should be high priorities. However, most prior studies focused on hotel guest behavior or discussed, on an individual level, the psychological aspects of the factors of the low-carbon behavior of either managers or employees. Therefore, this research aims to examine the effect of influencing factors inside and outside of the hotel context on hotel staff’s low-carbon behaviors in star-rated hotels. A set of influencing factors were identified by using literature retrieval, ground theory and in-depth interviews. Structural equation modelling was then applied with 440 valid questionnaires collected from representative star-rated hotels in Eastern China. The results revealed that low-carbon managerial activities, strategic orientation, social norms, and perceived behavior control were four key factors affecting the low-carbon behavior adoption of staff from star-rated hotels. Among them, low-carbon managerial activities were found to be the strongest factor affecting hotel staff’s low-carbon behaviors. Consumer attitude, however, exerted no significant impact. Targeted strategies were finally proposed for the improvement of hotel staff’s low-carbon behavior from the perspectives of hoteliers and governments. This study contributes to the generation mechanism of low-carbon behavior among staff and, in practice, towards behavioral improvement by providing comprehensive insights about the attribution of factors belonging to multiple dimensions related to the low-carbon behavior of staff in the hotel industry.

scholarly journals Exploring the Determinants of Hot Spring Tourism Customer Satisfaction: Causal Relationships Analysis Using ISM

2019 ◽  
Vol 11 (9) ◽  
pp. 2613
Author(s):  
Chuanmin Mi ◽  
Yetian Chen ◽  
Chiung-Shu Cheng ◽  
Joselyne Lucky Uwanyirigira ◽  
Ching-Torng Lin
Keyword(s):  
Customer Satisfaction ◽  
Success Factors ◽  
Structural Model ◽  
Hot Spring ◽  
Food Service ◽  
Tourism Industry ◽  
Limited Resources ◽  
Key Factors ◽  
Interpretive Structural Modeling ◽  
Factors Affecting

To stand out in the hot spring tourism industry, customer satisfaction has become the crucial issue for competitiveness. A company cannot implement several customer satisfaction improvement practices altogether with limited resources. Researchers advocate that companies should evaluate the relationships among success factors and explore determinants for their improvement implementation. However, such a relationship evaluation has not yet been adequately performed. This paper intends to explore the determinants for improving hot spring customer satisfaction. Adopting grounded theory (GT) and using data collected from websites, Ctrip and Qunar, the first 12 key factors for customer satisfaction were identified. Then, their interrelationships were assessed by 15 experts, and interpretive structural modeling (ISM) was employed to analyze the interrelationships and the driving and dependence power among key factors. The results show that “Environment Quality”, “Special Resource”, “Convenience”, “Food”, Service Quality”, and “Facilities” were the decisive factors affecting customer satisfaction. The findings offer important implications for hot spring management and practice. The contribution of this study is using a novel approach to establish a hierarchical structural model for comprehensive understanding of factor relationships that influence hot spring tourists’ satisfaction and to explore decisive factors which can help hot spring practitioners to better plan and design effective improvement strategies to attract potential new consumers and retain their current consumers, especially with limited resources.

scholarly journals Prioritizing the Factor Weights Affecting Tourism Performance by FAHP

10.5772/57141 ◽  
2013 ◽  
Vol 5 ◽  
pp. 51 ◽  
Author(s):  
Quang Hung Do ◽  
Jeng Fung Chen
Keyword(s):  
Tourism Industry ◽  
Decision Makers ◽  
Limited Resources ◽  
Decision Making Process ◽  
Key Factors ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
The Hierarchical Structure ◽  
Hierarchy Process

The allocation of limited resources to effectively promote tourism is one of the most important issues in the tourism industry, especially in tough economic times. This paper seeks to investigate the relative importance of the key factors affecting tourism performance by applying the fuzzy analytic hierarchy process (FAHP) method. Specifically, the paper identifies the factors and sub-factors of the hierarchical structure from the literature relating to tourism performance. The framework based on the AHP method is then proposed to determine the relative weights of the factors and sub-factors in contributing to tourism performance. An application case related to the Vietnamese context is used to illustrate the proposed framework. The results of this study consolidated the tourism theory and suggested recommendations and solutions for the Vietnamese tourism industry. The proposed framework could be used by a group of decision-makers to achieve a consensus, as well as deal with uncertainty in the decision-making process. The findings of the study may serve as a tool for assistance for planners in improving the efficiency of tourism performance.

scholarly journals Measurement and Evaluation of the Competitiveness of Rural E-commerce of Sichuan Province in China

2019 ◽  
Vol 5 (2) ◽  
pp. 103
Author(s):  
Guan Wenjin
Keyword(s):  
Factor Analysis ◽  
Evaluation System ◽  
Sichuan Province ◽  
Key Factors ◽  
Factors Affecting ◽  
Domestic Literature ◽  
Rural Revitalization ◽  
New Ideas ◽  
Measurement And Evaluation ◽  
Statistical Yearbook

The development of rural e-commerce has provided new ideas for provinces and cities to promote rural revitalization. This paper combines the indicators of the competitiveness evaluation system of rural e-commerce established in domestic literature, and chooses 12 basic indicators to analyze the development of rural e-commerce in Sichuan Province. By collecting the data of Sichuan Statistical Yearbook and Statistical Bulletins in Sichuan Province and using factor analysis, this paper aims to find out the key factors affecting the development of rural e-commerce in Sichuan Province, calculates the comprehensive competitiveness scores of rural e-commerce in 21 cities and states of Sichuan Province, and puts forward corresponding suggestions and measures. The results show that the development of rural e-commerce in Sichuan Province is seriously unbalanced. The development of rural e-commerce in Chengdu has absolute advantages in Sichuan Province, but other cities, such as Panzhihua City, have overtaken Chengdu City in some aspects.

Mechanisms of polymer retention in porous media

2020 ◽  
pp. 126-134
Author(s):  
E.F. Veliyev ◽  
Keyword(s):  
Porous Medium ◽  
Porous Media ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Field Research ◽  
Polymer Flooding ◽  
Successful Implementation ◽  
Key Factors ◽  
Factors Affecting ◽  
Polymer Retention

Polymer flooding is one of the main enhanced oil recovery methods that have been actively used since the late 1960s. However, despite the significant gained experience of both laboratory and field research, this technology still continues to develop from year to year, revealing more and more new factors and challenges that are necessary aspects for successful implementation. Estimation of retained polymer amount by the porous medium is one of the key factors. The article discusses the main mechanisms and factors affecting retention process, as well as methods for determining the amount of retained polymer when flooding the solution through porous medium in laboratory conditions.

scholarly journals Factors Affecting Construction Labour Productivity using Questionnaire Survey

2018 ◽  
Vol 7 (3.12) ◽  
pp. 309 ◽  
Author(s):  
A Madhan ◽  
Gunarani G I
Keyword(s):  
Production Efficiency ◽  
Labour Productivity ◽  
Project Managers ◽  
Fundamental Result ◽  
Work Efficiency ◽  
Key Factors ◽  
Factors Affecting ◽  
Importance Index ◽  
Questionnaire Surveys ◽  
Field Workers

Theoretically the most difficult issue in development industry is to enhance the production efficiency. Numerous researches have been done previously, however a more profound comprehension is as yet expected to enhance the labour productivity. The fundamental result from the writing is that there is no standard definition for labour work profitability. It covers the development labour productivity definitions, angles and factors influencing it. The labour productivity is particularly essential in developing countries, where the vast most of the building development work is still on manual premise. The point of this investigation is to get the most recent data and to recognize the key factors that influence the labour work efficiency in and around Thanjavur. So overview is brought out through questionnaire surveys and circulate to respondents who work at different undertakings in wide region in Thanjavur and the poll are evaluated by venture supervisors, project managers, construction engineers, field workers and furthermore with works utilizing their experience. What's more, the information's are gathered and investigated utilizing Relative Important Index (RII) and Importance Index (IMPI) methods, utilizing this the influenced factors are distinguished and positioned, through the vital advances are given to enhance the work efficiency.  

scholarly journals Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xueqiang Guo ◽  
Bingjun Li
Keyword(s):  
Influencing Factors ◽  
Prediction Models ◽  
Empirical Test ◽  
Henan Province ◽  
Grey Prediction ◽  
Key Factors ◽  
Growth Trend ◽  
Factors Affecting ◽  
Steady Growth ◽  
Lasso Method

GM (1, N) model is one of the grey prediction models considering the influence of many factors. This paper improves GM (1, N) model and constructs PSO-GM (1, N) model. Firstly, Lasso method is used to select the influencing factors, then the priority of influencing factors and the value of parameter N in GM (1, N) model are determined, and finally PSO method is used to optimize GM (1, N) model. Taking the vegetable supply in Henan Province as the research object, this paper makes an empirical test by using PSO-GM (1, N) model. The results show that the key factors affecting the vegetable supply in Henan Province are the number of rural employees, highway mileage, and application of pesticide. The vegetable supply in Henan Province will continue to show a steady growth trend in the next three years.

scholarly journals Influencing Factors and Strategies of the Flow of Academic Professionals in Colleges and Universities Based on Convolutional Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
LIli Zhao
Keyword(s):  
Influencing Factors ◽  
Research Universities ◽  
Factor Model ◽  
Influencing Factor ◽  
Colleges And Universities ◽  
Factors Affecting ◽  
Strength Factor ◽  
Mobility Factor ◽  
Questionnaire Surveys ◽  
Academic Professionals

The influencing factors of academic professional mobility in colleges and universities are complex and diverse, and the intensity of each influencing factor has obvious characteristics of differentiation. However, scholars have few relevant studies based on the intensity of factors affecting the flow of academic professionals in colleges and universities. Therefore, this article aims to study and analyze the influence of different factors on the flow of academic professionals in different types of colleges and universities, which is of great significance for promoting the rational and orderly flow of academic professionals. This paper proposes a comprehensive application of multiple methods, such as questionnaire surveys and data statistics, based on ERG theory, based on the four types of universities and colleges: research-oriented, teaching research, teaching, and application. The influence intensity of the flow-influencing factors is comparatively studied. It clarified the differences in the influence of spiritual factors, economic factors, and social factors on the mobility of academic professionals in colleges and universities, established a mobility factor model, and put forward policy recommendations for colleges and universities to promote the rational and orderly mobility of academic professionals. A total of 2042 questionnaires on “Policy Improvement Factors Affecting the Flow of Academic Experts in Universities” were released, four academic experts of different levels were assigned to universities, and 1,561 were effectively searched. Among them, there were 336 research universities, 157 educational research universities, 404 educational universities, and 164 applied universities. The experimental results of this article show that the factors affecting the flow of academic professionals in universities include economic strength factor of 0.4945, social strength factor of 0.5456, and intellectual strength factor of 0.52. Therefore, the factors affecting the mobility of university scholars can be used in strategic research.

Problems of children´s social tourism in Crimea

10.12737/7922 ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 78-56
Author(s):  
Альбина Ганиева ◽  
Albina Ganieva
Keyword(s):  
Economic Transformation ◽  
State Regulation ◽  
Tourism Industry ◽  
Health Centers ◽  
Health Improvement ◽  
Comprehensive Treatment ◽  
Factors Affecting ◽  
The Crimea ◽  
Health Institutions ◽  
Systemic Problems

In this article the authors present concept of shared children´s tourism and children´s social tourism, considered systemic problems in the functioning of children´s sanatorium and health institutions of the Crimea. First, the authors provided a retrospective analysis of the formation and the scope of children´s social tourism in Crimea how the economic transformation is conducted in provision of social support for children´s health in a command and market economic systems. Substantiated are the factors affecting the crisis state of institutions of child health improvement: the processes of privatization of property of children´s health institutions, lack of budget financing of government programs to improve the health of children from socially disadvantaged groups, the decline in the quality of children´s health. The article highlights directions of the long-term prospects for the development of children´s health resorts of Crimea related to the development of children´s tourism in the tourism industry in Russia. As in the federal programme of support for rehabilitation of children argued, there should be the establishment of the state order for recreation system and financial support for children´s health institutions. The authors note trends in the development of children´s health centers of Crimea in the following directions: wider specialization, existing health centers, taking into account changes in the structure of child populations, comprehensive treatment. To create control systems of functioning and development for the recreational and tourist complex, which are formed within the administrative-territorial formations, there should be introduced the following elements: resource componentsof recreational potential (natural, human, financial, material, technological, informational), organizational and legal support of the form of ownership in the recreation and tourism complex, including the relationship arising in the course of ownership, management, exchange of different categories of resources, state regulation of processes in the system of children´s health institutions.

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