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.

Factors Affecting Individual Level ERP Assimilation in a Social Network Perspective

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Interactive Learning ◽  
Influential Factors ◽  
Three Dimensions ◽  
Organizational Level ◽  
Key Factors ◽  
Factors Affecting ◽  
Individual Level ◽  
The Social

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.

Trust in Cloud-Based Services: A Framework for Consumer Adoption of Software as a Service

2019 ◽  
Vol 34 (2) ◽  
pp. 65-85
Author(s):  
Lorraine S. Lee ◽  
William D Brink
Keyword(s):  
Structural Equation ◽  
Survey Methodology ◽  
Software As A Service ◽  
Equation Modeling ◽  
Key Factors ◽  
End User ◽  
Factors Affecting ◽  
User Adoption ◽  
Statistical Support ◽  
Confidentiality And Privacy

ABSTRACT Guidelines originating from practice suggest the Trust Services Criteria of security, availability, processing integrity, confidentiality, and privacy should be key factors affecting the trust of cloud-based systems. In our study, we test a model of end-user adoption of cloud-based software as a service (SaaS) by integrating the five principles from the Trust Services Criteria with systems risk. Using a survey methodology to collect data and analyzing it with structural equation modeling, we test hypotheses associated with the model. Our results show statistical support for the factors of security, confidentiality, and privacy as influencing consumers' trust in cloud-based services. Additionally, our results demonstrate trust in cloud-based services negatively influences the perceived systems risk, and these two items (trust and systems risk) significantly influence the decision by end-users to adopt a cloud-based system. Overall, our findings support the use of the Trust Services Criteria for assessing consumers' trust in cloud-based services.

scholarly journals Factors Affecting Loyalty of Mobile Social Networks' Users

2017 ◽  
Vol 13 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Nastaran Hajiheydari ◽  
Babak Hazaveh Hesar Maskan ◽  
Mahdi Ashkani
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Social Networks ◽  
Mobile Social Network ◽  
Key Factors ◽  
Factors Affecting ◽  
Social Applications

Increasing world-wide trends of using mobile social networks and the rise of competition between different social applications makes it essential for social network providers and marketers to identify the key factors leading to user loyalty. The purpose of this paper is to identify the key factors that affect the loyalty of mobile social networks users. The proposed model was tested through structural equation modeling techniques and an online survey. The sample consisted of 388 mobile social networks users in Iran. The results indicate that sociability, entertainment and fashion are primary drivers of attitude toward a mobile social network. The results also show the significant role of attitude and satisfaction on consumer loyalty. This study helps both marketers and mobile social network providers know the key drivers of customer loyalty in order to tailor their marketing efforts and communication strategies.

scholarly journals Factors Influencing BIM Adoption for Construction Enterprises in China

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ruixue Zhang ◽  
Yuyan Tang ◽  
Liang Wang ◽  
Zeyu Wang
Keyword(s):  
Construction Industry ◽  
Influencing Factors ◽  
Structural Equation ◽  
Equation Modeling ◽  
Key Factors ◽  
Process Data ◽  
Construction Enterprises ◽  
Factors Influencing ◽  
Hypothesis Model ◽  
Wide Range

The construction industry is one of the important pillars of the Chinese national economy. BIM, as a new information technology tool, provides an intelligent digital representation of buildings to support diverse activities and brings about a wide range of benefits throughout the life cycle of projects. However, BIM has not been widely adopted in construction enterprises in China. It is necessary to make a comprehensive and systematic analysis of the influencing factors for BIM adoption. This paper sums up 13 influencing factors from four aspects, namely, technology, economy, institution, and environment aspect. The questionnaire survey and statistical analysis were used to collect and process data which is applied to determine the influencing factors. Based on relevant literature, a hypothesis model was established by the structural equation modeling method. SPSS software and AMOS software were used to test the model. Then, the key factors influencing BIM adoption are induced. The results show that the key factors that influence BIM adoption in China include personnel quality, investment in personnel training, BIM standardization, and the influence of senior managers in the organization. Combined with the above conclusion, this paper puts forward some suggestions for promoting BIM adoption and specific measures to realize the wide application of BIM technology in the Chinese construction industry.

scholarly journals Feasibility Analysis of Green Travel in Public Transportation: A Case Study of Wuhan

2020 ◽  
Vol 12 (16) ◽  
pp. 6531
Author(s):  
Junjun Zheng ◽  
Yi Cheng ◽  
Gang Ma ◽  
Xue Han ◽  
Liukai Yu
Keyword(s):  
Complex Network ◽  
Structural Equation Model ◽  
Public Transportation ◽  
Structural Equation ◽  
Equation Model ◽  
Subjective Norms ◽  
Urban Traffic ◽  
Factors Affecting ◽  
Individual Level ◽  
Behavioral Attitudes

The demand to alleviate urban traffic and reduce air pollution puts forward high requirements for green travel in public transportation. Thus, study of the feasibility of urban green travel in public transportation is necessary. This study focuses on it from two aspects: City level by complex network and individual level by structural equation model. As for the former, point of interest data on the spatial distribution of urban public transportation in Wuhan city are quantitatively analyzed. Then, a complex network of public transportation in Wuhan is constructed by using the Space L method, and the network characteristics are analyzed. Results show that accessibility coverage is mainly concentrated in the central urban area, and two significant central nodes exist, namely, Linshi and Zhaohu stations. At the individual level, 354 valid questionnaires and the structural equation model were used to explore the factors affecting individual intention of public transportation. Behavioral perceptual outcome, behavioral attitudes, and subjective norms have positive influences on the behavioral intention of public transportation, among which the behavioral attitudes are the most significant, and the subjective norms had the lowest influence. Some suggestions are proposed for Wuhan to improve urban accessibility and for individuals to increase green travel in public transportation.

scholarly journals Influencing factors of physicians’ prescription behavior in selecting essential medicines: a cross-sectional survey in Chinese county hospitals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xin Zhou ◽  
Xueting Zhang ◽  
Linsheng Yang ◽  
Xu Hu ◽  
Aizong Shen ◽  
...  
Keyword(s):  
Health Care ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Structural Equation ◽  
Essential Medicine ◽  
Equation Model ◽  
Essential Medicines ◽  
Actual Behavior ◽  
Cross Sectional ◽  
Factors Affecting

Abstract Background To explore the key factors affecting prescription practices of essential medicines in Chinese county hospital. National essential medicine policy (NEMP) plays important roles in health care system, especially in developing countries. As a fundamental component in the Chinese health system reform, NEMP was implemented in primary health care institutions during the first stage of reform. As it is rolled out, priority usage and zero-mark-up policy of essential medicines are to be applied in every government-run healthcare institution. However, the intention and influence factors of physicians on priority selecting essential medicine remains unclear. Methods Based on the theory of planned behavior, a cross-sectional questionnaire survey was conducted to analyze physicians’ intention, attitude, subjective norms (SNs) and perceived behavioral control (PBC) on prescrictions and their actual behavior on selection of essential medicines. Results Two hundred eighty-two physicians participated in the structural questionnaire interview. The final structural equation model reflected influencing factors affecting physicians’ prescribing behavior (χ2/df = 1.32, GFI = 0.99, IFI = 0.99). Structural equation model analysis showed that attitude, other influencers and institutional environment, and PBC significantly affected behavioral intention. However, the control extent of cognition behavior of physicians prescribing had no significant positive effect on the priority usage of essential medicines. Conclusion Investigation results demonstrate physicians are unaware of NEMP design and implementation plans. To help enhance rational use of essential medicines we suggest educating physicians on the value of NEMP, and integrating the drug shortage report into the essential medicine (EM) bidding system seamless communication with pharmaceutical manufacturers’ credit information system.

Investigating factors affecting Chinese tertiary students’ online-startup motivation based on the COM-B behaviour changing theory

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lifu Li ◽  
Kyeong Kang ◽  
Osama Sohaib
Keyword(s):  
Influencing Factors ◽  
Structural Equation ◽  
Cultural Theory ◽  
Uncertainty Avoidance ◽  
Cultural Control ◽  
Live Streaming ◽  
Cooperative System ◽  
Content Type ◽  
Factors Affecting ◽  
Entrepreneurial Skills

Purpose This study aims to present the Chinese entrepreneurial environment and explore Chinese tertiary students’ online-startup motivation on live streaming platforms. Based on the COM-B behaviour changing theory, this paper discovers various influencing factors from environmental opportunity and personal capability aspects. It analyses their effects under the cooperative system established among official departments, industries and universities. Meanwhile, considering social and cultural control, it also refers to the uncertainty-avoidance dimension from the Hofstede cultural theory and re-evaluates its influence on Chinese tertiary students’ online-startup motivation. Design/methodology/approach The authors analyse 474 responses from online questionnaires through partial least squares path modelling and variance-based structural equation modelling. The paper claims that environmental opportunity and personal capability factors positively affect students’ online-startup motivation, but uncertainty-avoidance thinking plays a negative role. The study also measures the importance-performance map analysis to explore additional findings and discuss managerial implications. Findings Both platform support and official department support positively impact Chinese tertiary students’ online-startup motivation and entrepreneurial skills learned from universities are beneficial for them to build online-startup confidence. Meanwhile, influenced by the cooperative system implemented among official departments, industries and universities, official department support positively affects platform support and entrepreneurial skills. Conversely, influenced by Chinese traditional Confucian culture, uncertainty-avoidance thinking negatively affects tertiary students’ online-startup motivation. Originality/value This paper demonstrates the analysis of Chinese tertiary students’ online-startup motivation drawing on the COM-B behaviour changing and Hofstede cultural theories. Specifically, this study divides influencing factors into three specific aspects as follows: environmental opportunity, personal capability and social and cultural control. Unlike existing research applying traditional research models, the combination of the COM-B behaviour changing theory and the Hofstede cultural theory could be conducive to making the research model reflect influencing factors and present their different relationships.

Key Factors of Community Based Biomass Power Plant Establishment

2016 ◽  
Vol 839 ◽  
pp. 75-80 ◽  
Author(s):  
Krittaphas Mongkoldhumrongkul ◽  
Prapita Thanarak
Keyword(s):  
Power Plant ◽  
Structural Equation ◽  
Power Plants ◽  
Local Community ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Key Factors ◽  
Community Based ◽  
Factors Affecting ◽  
Biomass Power Plant

Biomass plays an important role in reducing fossil energy. It can be utilized in different ways and one of its usages is to produce electricity. However, to benefit from the gains of using biomass power generation, there are several obstacles to overcome for its competent utilization. The performance of community based biomass power plants (CBP) was studied to access the feasibility and sustainability aspects that caused energy security. The objective of this study was to identify the key factors affecting to CBP establishment. The authors designed the tests to make a comprehensive study considering all the factors published in the Science Direct Database during January 2004 to September 2014. The data was obtained using multi-stage sampling from 1,151 people dwelling in the local community. A questionnaire was used as a tool for collecting the data. The output factors were confirmed by undertaking the Structural Equation Modeling (SEM) analysis. The results show a significant influence on 1) technology of biomass gasification power plant; 2) biomass residues; 3) community; and 4) government, policy and investment at p < 0.05. These findings therefore identified the key factors affecting establishment for biomass electricity generation in Thailand. This in turn has helped bring about the causal model for establishing biomass power plant based on sustainability.

The Study of the Restrain on the Development of Low-Carbon Building

2012 ◽  
Vol 209-211 ◽  
pp. 485-491
Author(s):  
Zhen Dong Ma ◽  
Ping Sheng Xie
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Social Economic ◽  
Influential Factor ◽  
Low Carbon ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Framework System ◽  
Hierarchy Process

This article intended to analyze the factors that affect the development of low-carbon building, to establish a low-carbon building Influencing factors framework system with social, economic, technique, management index, combining Analytic Hierarchy Process and DEMATEL method, to provide reference for the authority to promote low-carbon building by processing the influential factor in the framework and providing 5 key factors that restrain the development of low-carbon building.

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