scholarly journals Investigating the Critical Factors of Professionals’ BIM Adoption Behavior Based on the Theory of Planned Behavior

Author(s):  
Zezhou Wu ◽  
Mingyang Jiang ◽  
Heng Li ◽  
Xiaochun Luo ◽  
Xiaoying Li

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.

2019 ◽  
Vol 37 (5) ◽  
pp. 1165-1189 ◽  
Author(s):  
Apostolos Giovanis ◽  
Pinelopi Athanasopoulou ◽  
Costas Assimakopoulos ◽  
Christos Sarmaniotis

PurposeThe purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.Design/methodology/approachDrawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.FindingsResults indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.Practical implicationsFindings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.Originality/valueThis is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.


2021 ◽  
Vol 8 (12) ◽  
pp. 249-259
Author(s):  
Muthiah . ◽  
Lukman Mohammad Baga ◽  
Imam Teguh Saptono

This research aimed to analyze the cash waqf literacy index and factors influencing public intention to pay cash waqf. The analysis used is theory of planned behavior (TPB) and structural equation modeling (SEM) to measure the relationship of latent variables, i.e. cash waqf literacy, religiosity, attitudes, subjective norms and behavior control. The SEM model in this study was processed using Lisrel version 8.3 software. The results showed that the cash waqf literacy index of people in Jabodetabek was 59.04%, which is still included in the low literacy category. The results also showed that cash waqf literacy, religiosity, attitudes, subjective norms and behavioral control have a significant and positive influence on the intention in paying cash waqf. Keywords: Literacy Index; Cash Waqf; Religiousity; Theory of Planned Behavior; SEM.


Recycling ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 43 ◽  
Author(s):  
Wilma Strydom

This paper reports on an application of the Theory of Planned Behavior to understand the relationships between the determinants (latent variables) comprising the Theory of Planned Behavior and, based on these findings, to guide decision-making related to household recycling in South Africa. Data from a representative sample of respondents in large urban areas (n = 2004) was analyzed using Structural Equation Modeling (SEM). The results of the SEM analysis showed a good fit of the survey data to the Theory of Planned Behavior theoretical model. The Theory of Planned Behavior explains 26.4% of the variance in recycling behavior and 46.4% of the variance in intention to recycle. Only 3.3% of South Africans in large urban areas show dedicated recycling behavior, considering the recycling of five materials: paper, plastic, glass, metal, and compostable organic waste. The recycling frequency item in the recycling behavior construct is the most likely to be over-reported. South Africans lack sufficient knowledge, positive attitudes, social pressure, and perceived control that would encourage recycling behavior. Awareness drives containing moral values (injunctive norms) and information about available recycling schemes, combined with the provision of a curbside collection service for recyclables, have the greatest chance to positively influence recycling behavior amongst South Africa’s city dwellers.


2018 ◽  
Vol 29 (5) ◽  
pp. 659-682 ◽  
Author(s):  
Gregory Dennis Paul ◽  
William J. Schenck-Hamlin

PurposeThis paper aims to use the theory of planned behavior to evaluate factors that influence openness to participating in a victim-offender conference (VOC).Design/methodology/approachConsistent with theory of planned behavior recommendations, the study uses a vignette-based design to assess participation openness as willingness to participate in a VOC if they were victims of a property crime. It evaluates the goodness of fit of a hypothesized structural model of participation openness to the data and the utility of a theory of planned behavior model as opposed to simply an outcome-driven model.FindingsFindings from a hierarchical linear regression illustrate that a theory of planned behavior model explains a greater percentage of participation willingness than does an outcome-driven model. Analysis using structural equation modeling suggests that participation openness is largely a function of subjective norms, anticipated affect and anticipated outcomes.Research limitations/implicationsLimitations spring largely from sampling method and research design. Research implications pertain to the utility of theory of planned behavior in expanding research of VOC participation openness to include not only outcomes but also relational and contextual factors.Practical implicationsThe manuscript identifies several implications for training facilitators, talking with prospective VOC participants and advocating for restorative justice programs.Originality/valueUse of the theory of planned behavior as a lens for understanding openness to VOC participation gives researchers and practitioners a wider and more nuanced understanding of why people would generally be willing to participate in a VOC if they were the victim of an offense.


2018 ◽  
Vol 10 (8) ◽  
pp. 2692 ◽  
Author(s):  
Yanchun Zhang ◽  
Jianglin Gu ◽  
Ming Shan ◽  
Yazhi Xiao ◽  
Amos Darko

The active involvement of private sectors in Public-Private-Partnership (PPP) projects is critical for sustainable development of the PPP mode. While there have been many studies on PPP in the literature, limited research has been conducted to investigate the critical factors that affect the intention of the private sector to participate in PPP projects. To bridge the knowledge gap, this study proposed a theoretical model based upon the theory of planned behavior (TPB), and then tested it based upon empirical data collected from China. Partial least squares structural equation modeling (PLS-SEM) was employed in testing the model. Results indicated that “perceived behavioral control”, “governmental influence”, and “private sectors’ attitude toward PPP” were the three most significant latent variables affecting the intention of private sectors to participate in PPP projects; and “financial capability”, “full compliance with PPP contracts”, and “profitability” were the three most significant observable variables affecting the intention of the private sector. The research findings contribute to the body of knowledge about private sector involvement in PPP projects in a Chinese context, and also provide solid support for the government to issue relevant polices or undertake reforms to attract more private sectors to participate in the PPP projects.


2017 ◽  
Vol 10 (8) ◽  
pp. 40 ◽  
Author(s):  
Saeed Abdullah AL-Dossary

Cheating on tests is a serious problem in education. The purpose of this study was to test the efficacy of a modified form of the theory of planned behavior (TPB) to predict cheating behavior among a sample of Saudi university students. This study also sought to test the influence of cheating in high school on cheating in college within the framework of the TPB. Analyses were conducted on a sample of 322 undergraduate students using structural equation modeling. The results were consistent with the TPB model’s predictions. The TPB model explained a modest variance in cheating in college. When cheating in high school added to the model, the proportion of explained variance increased and cheating in high school was the best predictor of cheating in college. Although not hypothesized by the TPB, subjective norm had a direct effect on attitude.


2020 ◽  
Vol 12 (24) ◽  
pp. 10556
Author(s):  
Caterina Lucarelli ◽  
Camilla Mazzoli ◽  
Sabrina Severini

The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.


2017 ◽  
Vol 7 (14) ◽  
Author(s):  
Rolando Zubirán Shetler ◽  
Jesús Fabian López Pérez

Key words: Diffusion of innovations, electronic commerce, structural equations, Smart-PLS, technology acceptanceAbstract. The following article analyzes the principal factors that have an impact in the adoption of new telecom convergent services, through electronic commerce, that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical factors in the development and growth of online electronic transactions. Specifically, factors and latent variables of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). A summary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 253 valid observations randomly selected from within the population of urban internet users in Mexico. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS. The study determined that perceived utility and trust variables are statistically relevant and significant in determining purchase online of new telecom convergent services and the development of electronic commerce in the Mexican Market.Palabras clave: Aceptación de la tecnología, comercio electrónico, difusión de las innovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los principales factores que influyen en la adopción de los nuevos servicios convergentes de telecomunicaciones, a traves del comercio electrónico, que han sido explorados y estudiados principalmente en mercados desarrollados como el de Estados Unidos y que han sido confirmados como factores críticos en el desarrollo y el crecimiento de las transacciones electrónicas en linea. Específicamente, los factores y variables latentes en este estudio se derivan de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes de estudios empíricos derivados de los mencionados modelos teóricos, seguido de los resultados de un estudio exploratorio de campo que comprende 253 observaciones válidas seleccionadas en forma aleatoria dentro de la población de usuarios urbanos de Internet en México. La metodología utilizada para determinar las relaciones causales entre las variables (Betas) fue análisis factorial (Componentes Principales) y el modelo de ecuaciones estructurales, específicamente Smart-PLS. El estudio determina que las variables percepción de utilidad y confianza son estadísticamente relevantes y significativas en la determinación de compra en línea de nuevos servicios convergentes de telecomunicaciones y en el desarrollo del comercio electrónico en el Mercado Mexicano.


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