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.

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.

Factors influencing word of mouth behaviour in the restaurant industry

2017 ◽  
Vol 35 (1) ◽  
pp. 81-110 ◽  
Author(s):  
Mohammad Reza Jalilvand ◽  
Sirous Salimipour ◽  
Mehdi Elyasi ◽  
Mehdi Mohammadi
Keyword(s):  
Relationship Quality ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Critical Role ◽  
Influential Factors ◽  
Restaurant Industry ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Influencing

Purpose Restaurants with limited promotion budgets depend mainly on word of mouth (WOM) among customers. WOM seems particularly important to the marketing of services. This is because services are experiential in nature and difficult to assess before purchase. In the restaurants context there is little research on WOM. The purpose of this paper is to examine the factors that may influence tourists’ WOM about restaurants implying on the critical role of relationship quality. Design/methodology/approach A comprehensive literature review is conducted to identify the major factors influencing WOM in the context of restaurant industry. The study utilizes self-administered questionnaire survey and the target population are the customers who have referred to the restaurants of Tehran, Iran. A convenience sampling approach was utilized to collect a sample of 326 customers. A structural equation modeling procedure is applied to the examination of the antecedents of WOM. Findings The paper found that food quality, personal interaction quality, physical environment quality, and perceived value influence WOM behavior of customer in an indirect way through relationship quality. Practical implications This research conjectured that an understanding of factors that influence the tourist to talk each other about a given restaurant are worthy of additional research. Consequently, the study helps to understand how these factors can provide alternative sources of marketing to attract the long-term economic sustainability of restaurant industry in Iran. Originality/value To the authors’ knowledge, this research will be the first attempt to explore influential factors on WOM in restaurant industry focusing on the critical role of relationship quality. It is expected that researchers will find this research a contribution to the WOM literature, particularly in restaurant industry.

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 Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

scholarly journals A STRATEGY TO STRENGTHENING THE HUMAN RESOURCE CAPABILITIES AS A VALUABLE POTENCY TOWARD CREATIVE INDUSTRY DEVELOPMENT IN SOUTH TANGERANG

2018 ◽  
Vol 1 (1) ◽  
pp. 62-87
Author(s):  
Caecaria Dwi Putri ◽  
Nila K. Hidayat
Keyword(s):  
Human Resource ◽  
Structural Equation ◽  
Strong Influence ◽  
Equation Modeling ◽  
Creative Industry ◽  
Business Owner ◽  
Industry Development ◽  
Descriptive Research ◽  
The People ◽  
Modeling Analysis

Human resource capability is esseltial to develop the creative industry in South Tangerang since if the human capability is lacking, it will affect the output of organization and also the other capability will be at risk. The first purpose of this research is to analyze whether there is a strong influence between human resource capabilities to the development of creative industry. The second purpose is to identify the most significance capability toward creative industry development. The third is what strategy should be implemented to develop HR Resources to Creative Industry. Descriptive research is used as a type of study which followed by qualitative and quantitative method. Furthermore, the data is analyzed though the Structural Equation Modeling analysis (SEM). The findings of this research shows that human resource capability has a strong influence to the development of creative industry in South Tangerang with the highest contribution is from skill and the strategy generated is more focused on strengthening skill as the most potential capability of people. Based on the findings, recommendation generated is government and creative industry business owner should pay more attention to the people capability and create a specific strategy and vision to srengthening the people capability.

scholarly journals FACTORS INFLUENCING REPURCHASE INTENTION IN ONLINE SHOPPING CONTEXT: THE MEDIATING ROLE OF SATISFACTION

2018 ◽  
Vol 2 (1) ◽  
pp. 29-43
Author(s):  
Xin Jean Lim ◽  
Eugene Cheng-Xi Aw ◽  
Kenny Guan-Cheng Teoh
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Repurchase Intention ◽  
Performance Expectancy ◽  
Factors Influencing ◽  
Effort Expectancy

This study investigates the factors influencing repurchase intention in online shopping context.Self-efficacy and trust were integrated with Unified Theory of Acceptance and Use of Technology (UTAUT) components, namely performance expectancy and effort expectancy in explaining online repurchase intention. It was hypothesized that performance expectancy, effort expectancy, self-efficacy, and trust influence satisfaction and online repurchase intention. Satisfaction was posited to mediate the relationships between the proposed antecedents and online repurchase intention. 211 use able responses were collected through purposive sampling method and the data was analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM). All proposed hypotheses were supported except the effects of effort expectancy and performance expectancy on online repurchase intention. All mediating effects of satisfaction proposed were found to be significant. Based on the findings, implications and future research directions were discussed.

scholarly journals ENTREPRENEURIAL INTENTIONS: GEM BASED EMPIRICAL ANALYSIS ON THE NORTHERN EUROPE AND ASIAN COUNTRIES

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ambreen Khursheed ◽  
Faisal Mustafa ◽  
Maham Fatima ◽  
Faiza Siddique
Keyword(s):  
Structural Equation ◽  
Influential Factors ◽  
Developmental Differences ◽  
Entrepreneurial Intentions ◽  
Entrepreneurial Activity ◽  
Equation Modeling ◽  
Northern Europe ◽  
Main Theme ◽  
Asian Countries ◽  
Entrepreneurial Activities

The requirement to contextualize research in the field of entrepreneurship has converted into the main theme from the last two decades. Therefore, this study bridges the gap by analyzing the relationship between the entrepreneurial activity in northern Europe and the Asian region countries in perspective of an individuals’ perception skills, attitudes, and the subjective norms. Based on our research, we propose a new conceptual framework to analyze EI in the context of entrepreneurship by using the theory of planned behavior (TBP) and the Global Entrepreneurship Monitor (GEM). We empirically examine the influence of key developmental differences on the entrepreneurial intentions (EI) model with structural equation modeling (SEM). In the studied GEM countries, our findings affirm the applicability of the EI model across countries confirming that entrepreneurial activities are the key drivers of economic growth. The findings also recommend that the progression from perception to intent is modified across the 23 European and Asian countries, though there exist several cultural differences to the extent of casual effects also including the differences of influential factors. This study contributes to the debate on entrepreneurship by analyzing key factors influencing the EI model and extends our understanding of entrepreneurship.

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