Building Information Modeling Learning Behavior of AEC Undergraduate Students in China

Peng, Panyu; Ao, Yibin; Li, Mingyang; Wang, Yan; Wang, Tong; Bahmani, Homa

doi:10.3390/bs12080269

Cited by 9 publications

(3 citation statements)

References 54 publications

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“…It can effectively measure users’ adoption willingness and user behaviors. The validity of UTAUT is verified by research of different fields, such as building information modeling learning (Peng et al [ 28 ]), online purchasing (Beyari and Garamoun [ 29 ]) and micro-lectures (Wijaya and Weinhandl [ 30 ]). Though UTAUT is extensively adopted by scholars, this theory ignores the user behavioral intention after adoption.…”

Section: Introductionmentioning

confidence: 99%

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Tian

2022

IJERPH

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With the deepening of population aging in China, chronic diseases are a major public health concern that threatens the life and health of nationals. Mobile health or mHealth can effectively monitor chronic diseases, which holds vital significance to the alleviation of social pressure caused by aging. To patients with chronic diseases, mHealth cannot give full play to its value, only when it is used in the long term. However, there is not yet research exploring mHealth continuance intention from the perspective of elders with chronic diseases. So, this research represents the first attempt to empirically analyze mHealth continuance intention from the perspective of elders with chronic diseases. The purpose of this research is to make up the research gap of the mHealth field and to put forward theoretical and practical implications based on research results. To obtain research data, a questionnaire was conducted. A total of 926 copies were collected online and 527 copies were collected offline. The structural equation model (SEM) was used for data analysis. Research results suggest that confirmation can significantly influence satisfaction, performance expectancy and effort expectancy. Meanwhile, confirmation and performance expectancy can significantly influence satisfaction. Additionally, effort expectancy, performance expectancy, social influence and facilitating conditions can directly and significantly influence continuance intention. Among them, performance expectancy can directly influence continuance intention in the most significant way. This research provides solid evidence for the validity of the integrated model of ECM-ISC and UTAUT in the mHealth field, which can be a theoretical basis for mHealth operators’ product R&D.

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Section: Introductionmentioning

confidence: 99%

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Tian

2022

IJERPH

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“…The full text of the remaining 462 records was meticulously assessed using four inclusion criteria. Firstly, studies were required to empirically investigate the behavioral intention of construction practitioners toward BIM acceptance, with other contexts, such as BIM learning behavioral for students, being excluded (e.g., [71]). Secondly, only studies that investigated at least one bivariate relationship between the antecedents and consequences of BIM adoption, predominantly focusing on UTAUT constructs or related variables, were eligible for inclusion in the meta-analysis.…”

Section: Study Retrieval and Selectionmentioning

confidence: 99%

Decoding BIM Adoption: A Meta-Analysis of 10 Years of Research—Exploring the Influence of Sample Size, Economic Level, and National Culture

Wang,

Guo,

Di Sarno

et al. 2024

Buildings

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In recent years, some studies have explored the determinants of Building Information Modeling (BIM) adoption. However, the findings of these studies are varied and sometimes contradicting. Consequently, this study undertakes an in-depth exploration of the relationship between influencing factors and behavioral intention. This analysis is achieved through a synthesis of findings from prior empirical studies, considering the nuanced impacts of specific contextual factors, including sample size, national culture, and economic level, on these relationships. In total, this meta-analysis encompasses 57 articles, and as of 31 December 2023, incorporates 63 datasets comprising a collective sample size of 13,301. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was developed based on the most frequently studied constructs relevant to BIM adoption. The analysis reveals that BIM adoption is primarily affected by performance expectancy, social influence, facilitating conditions, effort expectancy, and perceived value. The moderator analysis indicates that sample size statistically significantly moderates the relationships between facilitating conditions and use behavior. Moreover, the extent of individualism in each national culture significantly moderates the associations between facilitating conditions and user behavior. The research serves to enrich the existing body of literature on BIM acceptance by addressing contradictory and mixed results found in empirical studies. It represents one of the first attempts to explore the influence of sample size, economic level, and Hofstede’s six cultural dimensions as moderators in the field of BIM utilizing meta-analytic techniques.

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“…It can accurately gauge user behavior and adoption willingness. Research in a variety of fields, including implementing an information system modeling training 19 , virtual shopping 20 , and small pieces of lectures 21 , has established the validity of UTAUT. Although UTAUT is widely used by academics, this theory disregards the user's post-adoption behavioral intention.…”

mentioning

confidence: 99%

Determining information system end-user satisfaction and continuance intension with a unified modeling approach

Tessema,

Cavus

2024

Sci Rep

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With the different characters of datatypes and large amount of data going to be managed in open-source database, localization to the specific linguistics is the major concern in Ethiopia, as the nation used different datatypes compared to the Gregorian systems. In this regard Amharic localization in open-source database can handle the difficulties in managing data for governmental and non-governmental organizations. Amharic Extension Module was introduced to governmental organizations for the data management capabilities. But, there is no research that can explore the system’s quality, the users’ satisfaction and intension of continuance of Amharic Extension Module from the perspective of both computer literates and illiterates. Therefore, this research work attempt or try to empirically examine and analyze the system quality, the users’ satisfaction and intension of continuance of Amharic Extension Module from the perspective of all users in POESSA The major purpose/aim of this study/research is to brand or make up the research break/gap in the area of localization specific to the Amharic locals, and to show the implication of the practical and theoretical way based on the results of the research. For this purpose, questionnaires were used for the collection of the research data. A total of 395 copies of the questionnaires were distributed and 385 of them are collected without any problem from the organization indicated herewith. The statistical analysis tools such as SPSS and AMOS, and methods such as Structural equation model were used for the analysis of the research data. The results of the research recommended and suggested that system quality can significantly influence confirmation. Meanwhile, confirmation can directly and significantly influence perceived usefulness, performance expectations, and satisfaction. Additionally, performance expectation, perceived usefulness and confirmation can significantly impact/influence satisfaction. The satisfaction directly and most importantly and significantly influences the continuance intension. Finally, the research delivers/provides a concert indication for the legitimacy and validity of the integrated and combined models of UTUAT, ECTM, and D&M ISS in the field of localizations which can be a hypothetical and theoretical foundation for Amharic Extension Module—AEM users’ and services of it.

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Building Information Modeling Learning Behavior of AEC Undergraduate Students in China

Cited by 9 publications

References 54 publications

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Decoding BIM Adoption: A Meta-Analysis of 10 Years of Research—Exploring the Influence of Sample Size, Economic Level, and National Culture

Determining information system end-user satisfaction and continuance intension with a unified modeling approach

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