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 A Study Investigating How the Characteristics of High Reliability Organisations Can Be Measured in the Construction Industry in Australia

2020 ◽  
Vol 17 (21) ◽  
pp. 8273
Author(s):  
Andrew Enya ◽  
Shane Dempsey ◽  
Manikam Pillay
Keyword(s):  
Construction Industry ◽  
Structural Equation ◽  
Construction Projects ◽  
Safety Management ◽  
High Reliability ◽  
The Body ◽  
Equation Modeling ◽  
Toxic Substances ◽  
Measurement Instruments ◽  
Wide Range

Construction activities involve a lot of risk as workers are exposed to a wide range of job hazards, such as working at height, moving vehicles, toxic substances, and confined spaces. The hazards related to a construction project are mostly unpredictable because construction projects move quickly due to project deadlines, and changing work environments. As a result of this, the industry accounts for one of the highest numbers of work-related claims, and the fourth highest incidence rate of serious claims in Australia. This research investigates how key safety management factors can measure the characteristics of high reliability organisations (HROs) in the construction industry in New South Wales Australia. To address the problem, a model is presented that can predict characteristics of HRO in construction (CHC). Using structural equation modeling (SEM), and confirmatory factor analysis (CFA), the model and measurement instruments are tested and validated from data collected from construction workers. The results identified the factors that effectively measure CHC, and the findings can also be used as a safety management strategy and will contribute to the body of knowledge in research.

scholarly journals Factors Influencing Mechanism of Construction Development Transformation in China Based on SEM

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yiyue Wang ◽  
Zhongfu Li ◽  
Feng Shi
Keyword(s):  
Construction Industry ◽  
Structural Equation ◽  
Influential Factors ◽  
Equation Modeling ◽  
Industry Development ◽  
Influencing Mechanism ◽  
Production Factors ◽  
Factors Influencing ◽  
Basic Production ◽  
Transformation Problems

Construction industry development transformation is one of the most important issues in China. Along with the improving construction industry development transformation, problems have increased and need to be solved. For effectively improving the construction industry development transformation, this paper studied the factors influencing mechanism of construction industry development transformation. Construction industry development transformation is influenced by many factors. Firstly, 10 significant influential factors were extracted and 25 observable variables were used. Secondly, Structural Equation Modeling (SEM) was used to analyze the relationship between construction industry development transformation and its influential factors. Then, SEM hypothesis based on the research on the factors influencing construction development transformation was constructed. Through empirical results and its analysis, the role of the basic production factors for construction cannot be ignored. The internal industry directly influenced the transformation in the construction. The external industry indirectly influenced construction transformation. And industrial demands stimulated the basic influencing factors.

A Structural Equation Model of Urban Forest Recreationists’ Satisfaction

2014 ◽  
Vol 675-677 ◽  
pp. 1288-1294
Author(s):  
Lu Zhou ◽  
Shu Tang
Keyword(s):  
Structural Equation ◽  
Urban Forest ◽  
Positive Impact ◽  
Perceived Value ◽  
Equation Model ◽  
Social Utility ◽  
Equation Modeling ◽  
Key Factors ◽  
Factors Influencing ◽  
Main Factors

With the method of exploratory factor analysis and structural equation modeling, this paper presented a model of urban forest recreationists’ satisfaction and conducted an empirical research. The main conclusions are as follows. Perceived value has an important and positive impact on the formation of satisfaction experience. Perceptions of "landscape resources", "facilities and services", "functional utility", "social utility" and "emotional utility" are the main factors arising the perceived value of recreationists. Meanwhile, Perceptions of "emotional utility" and "landscape resources" are the key factors influencing recreationists’ satisfaction. Furthermore, Perceptions of "functional utility" and "social utility" positively affect the perceived value of recreationists, and the perception of "facilities and services" is likely a guarantee factor for satisfaction experience. In addition, this paper has confirmed the applicability of the Means-end theory and the Cognitive-affective theory in the practice of urban forest recreationists’ satisfaction study.

The Study on Key Factors Influencing Time Delay of Public Construction Project

2014 ◽  
Vol 912-914 ◽  
pp. 1838-1841
Author(s):  
Jin Gui Chang ◽  
Han Wen Li
Keyword(s):  
Structural Equation Modeling ◽  
Time Delay ◽  
Structural Equation ◽  
Project Performance ◽  
Equation Modeling ◽  
Key Factors ◽  
Factors Influencing ◽  
Modeling Analysis ◽  
Public Construction ◽  
Project Delay

Project delay is prevalent and common. How to control project delay effectively is crucial for improving project performance. The 6 kinds of factors Influencing Time delay are distinguished on basis of literature. According to the structural equation modeling analysis step, the data is analysis using SPSS13.0 and AMOS7.0. This paper has made the examination and obtained the final structural equation modeling. So it has provided role for preventing the delay of duration on public construction.

scholarly journals Practicing Green Residence Business Model Based on TPB Perspective

2021 ◽  
Vol 13 (13) ◽  
pp. 7379
Author(s):  
Chao Wu ◽  
Shuling Liang ◽  
Weijiong Wu ◽  
Yuxiang Hong
Keyword(s):  
Business Model ◽  
Purchase Intention ◽  
Structural Equation ◽  
Behavioral Control ◽  
Steel Structure ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Intention To Purchase ◽  
Wide Range ◽  
Green Business

Green residence is the future of urban development, it is also an attempt to implement the green business model in the residential business field. The key to the success of a green business model is that a wide range of customers can accept its green value proposition and react to it through their purchase decisions. This study aims to develop a theory of a planned behavior (TPB) research model to predict individuals’ intention to purchase green residence. This study took steel structure residence as an example, which was widely recognized as one emerging type of green residence. The samples were selected in Baotou city of Inner Mongolia, P.R. China. Data analysis was performed using the structural equation modeling (SEM) with data obtained from a survey of 208 respondents using SPSS19.0 and AMOS17.0. The results found that the individuals’ intention to purchase green residence was significantly affected by attitude, subjective norm, and perceived behavioral control. Moreover, the empirical evidence showed that these influences differed between different gender groups. Specifically, women responders had a stronger effect on the path attitude impact on purchase intention than men. These findings can provide implications for practicing the green business model of real estate enterprise.

scholarly journals Analysis of Influencing Factors of College Students’ Intention to Repeated Blood Donation Based on Structural Equation Modeling

2021 ◽  
Author(s):  
Lingling Pan ◽  
Wei Hu ◽  
Wenjuan Han ◽  
Yingying Wang
Keyword(s):  
College Students ◽  
Structural Equation Modeling ◽  
Influencing Factors ◽  
Structural Equation ◽  
Blood Donation ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Behavior Intention ◽  
Donation Behavior

AbstractTo research the influencing factors of college students' blood donation behavior intention and propose intervention strategies to improve the repeated blood donation rate of college students. Questionnaire survey was used to research and analyze the influencing factors of behavior intention. Amos 21.0 software was used to establish structural equation modeling and perform confirmatory factor analysis. SPSS 20.0 was used for statistic. The model was proved with highly adaptability, with χ2/df = 2.956 < 3. Factors influencing college students' intention of repeat blood donation behavior can be summarized into four: attitude, external motivation, advice-taking, and perceived behavioral control. Among them, attitude and perceived behavioral control have a great direct impact on behavioral intention, while the external motivation and recommendation acceptance have an indirect impact by influencing the other two factors. In view of those evaluation items with high path coefficient in each factor, we can develop recruitment strategies to influence college students’ repeated blood donation behavior and provide scientific suggestions for improving their repeated blood donation rate.

scholarly journals Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1205
Author(s):  
Yogi Tri Prasetyo ◽  
Allysa Mae Castillo ◽  
Louie John Salonga ◽  
John Allen Sia ◽  
Thanatorn Chuenyindee ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Fast Food ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Online Questionnaire ◽  
Fast Food Industry ◽  
Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

scholarly journals Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1010
Author(s):  
Aichun Jiang ◽  
Qian Zhong ◽  
Yan Wang ◽  
Yibin Ao ◽  
Chuan Chen
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Main Body ◽  
Rural Residents ◽  
Rural Construction ◽  
Commercial Energy ◽  
New Rural Construction

With rapid rural urbanization and new rural construction, the commercial energy consumption of rural residents shows a trend of rapid growth, and China’s rural areas are also faced with environmental challenges brought by the increase of commercial energy consumption. China’s commercial energy consumption behavior of rural residents has also undergone tremendous changes. However, scholars have neglected the research on rural residents’ commercial energy consumption intention from a micro perspective. Therefore, this study takes the 5 villages in Chengdu out of the 100 representative villages in the Sichuan province as examples. From the perspective of the head of a family of permanent rural residents, extended planned behavior theory, exploratory factor analysis, and structural equation modeling are used to explore the influencing factors of rural resident commercial energy consumption intention and their relationship. Findings show that subjective norm, perceived behavioral control (PBC), and habit significantly affect residents’ behavioral intention. Habits significantly influence subjective norms and PBC. Therefore, in the new rural construction, rural residents are the main body and participants of energy consumption. Local government departments should plan reasonably according to the needs and characteristics of residents, constantly improve commercial energy infrastructure, improve service level, and further strengthen farmers’ attitude and satisfaction toward commercial energy. Moreover, they should increase the publicity and education of commercial energy, advocate green housing, and promote energy saving consumption reduction, and sustainable development in new rural areas.

Key Factors for Green IS Acceptance in Banking Segment

2021 ◽  
Vol 17 (1) ◽  
pp. 48-67
Author(s):  
Monika Singh ◽  
Ganesh P. Sahu
Keyword(s):  
Literature Review ◽  
Structural Equation ◽  
Harmful Effect ◽  
Uttar Pradesh ◽  
Equation Modeling ◽  
Key Factors ◽  
Green Is ◽  
And Performance ◽  
Green Information Systems ◽  
Almost All

Almost all service organizations are now well aware about global warming and advantages of green information systems (Green IS) in order to gain social and economic profit at the cost of no harmful effect on environment. Recurrent annotations in the literature have explored that for successful Green IS adoption certain keys factors are required to be considered and followed in various organizations. This paper reviews, analyzes, and corroborates 11 key factors empirically that are accountable for successful adoption of Green IS and performance improvement achievement of banking segments with special reference to the banks positioned at Lucknow, Uttar Pradesh, India. Eleven key factors are identified via in-depth literature review and examined using UTAUT2 and T-O-E models. Analysis of Moment Structure 21.0-Structural Equation Modeling tool is used in the study for data analysis and corroboration. The study will enrich the literature review in this field; also, it will be helpful to the decision makers and practitioners in different segments for successful adoption of Green IS in organizations.

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