Antecedents of the adoption of building information modeling technology in Korea

2019 ◽  
Vol 26 (8) ◽  
pp. 1735-1749 ◽  
Author(s):  
Eunil Park ◽  
Sang Jib Kwon ◽  
Jinyoung Han

Purpose Although the notable and significant role of building information modeling (BIM) technologies in construction industries has gained user attention, only few studies have been examined on the user adoption of the technologies. The purpose of this paper is to introduce an acceptance model for BIM technologies and investigate how external factors which were extracted by in-depth interviews promote the adoption of such technologies. Design/methodology/approach An on-line survey was conducted by two South Korean survey agencies to test the acceptance model for BIM technologies. Then, the structural equation modeling (SEM) and confirmatory factor analysis (CFA) methods were used. Findings The results of the SEM and CFA methods from on-site construction employees (n=818) in Korea collected by the online survey indicate that compatibility and organizational support play a core role in positively and significantly affecting both perceived ease of use and usefulness, and that the connections introduced by the origin technology acceptance model are mainly confirmed. Originality/value Using the findings of the results, both implications and notable limitations are presented. Moreover, practical developers, as well as academic researchers can employ the results when they attempt to conduct future research.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.


2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.


2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.


2020 ◽  
Vol 12 (2) ◽  
pp. 239-252
Author(s):  
Maya Puspa Rahman ◽  
Mohamed Asmy Mohd Thas Thaker ◽  
Jarita Duasa

Purpose Crowdfunding has become one of the preferred mechanisms to raise funds by startups and small entrepreneurs. As such, this paper aims to develop an appropriate framework for Sharīʿah-compliant equity-based crowdfunding (SEC) for entrepreneurship development in Malaysia. Design/methodology/approach The research begins by analyzing the intention of 200 entrepreneurs in Kuala Lumpur and Selangor regarding the use of crowdfunding to raise capital. The analysis is based on the theory of reasoned action (TRA), which is also associated with the technology acceptance model (TAM) and is effected by using structural equation modeling (SEM). Findings The entrepreneurs agree on the ease of use of crowdfunding in raising capital, although it appeared that they are quite reluctant to share their business ideas online. Subsequently, an SEC framework is proposed, to further enhance entrepreneurship development in Malaysia particularly in meeting the need for raising funds in line with Sharīʿah (Islamic law) principles. Practical implications This paper aims to contribute more to the development of a blueprint for an SEC platform for market players and regulators in Malaysia. Social implications This paper also aims to highlight the growing needs of entrepreneurs, particularly in Malaysia to have a Sharīʿah-compliant alternative to raise funds via crowdfunding. Originality/value This paper makes two main contributions. First, it provides evidence on Malaysian entrepreneurs’ intention to use crowdfunding for fundraising through TAM and SEM analysis. Second, it proposes an SEC framework for the development of entrepreneurs in Malaysia.


2019 ◽  
Vol 11 (5) ◽  
pp. 1316 ◽  
Author(s):  
Pan Gong ◽  
Ningshuang Zeng ◽  
Kunhui Ye ◽  
Markus König

The engineering-procurement-construction (EPC) method has the potential to help construction projects achieve sustainable performance, e.g., the contractor’s early involvement, cost savings, and a reduced schedule. However, high uncertainties and complexities are contained in EPC projects. 4D BIM (Building Information Modeling) with abilities to simplify the time and space relationships of construction activities and support multi-party information sharing is beneficial to EPC project management. The behavior pattern of the project personnel toward accepting 4D BIM information systems or tools needs to be explored. Therefore, a research model of the acceptance of 4D BIM in EPC projects with eight latent constructs is proposed through a literature review of technology acceptance theories. Data is collected from a questionnaire survey and interviews. Research hypotheses are examined using PLS-SEM (partial least squares-structural equation modeling). Empirical evidence is collected from China, and implications to the developing countries facing the challenge of developing a technology-intensive construction industry are provided: (1) Adopting 4D BIM in the EPC project is beneficial; (2) the task-technology fit plays a leading role in technology acceptance; (3) the management incentive is inefficient at the operational stage. Suggestions for future research on 4D BIM acceptance in complex construction projects with abundant data and alternative models are provided.


2018 ◽  
Vol 120 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ipek Kazancoglu ◽  
Emel Kursunluoglu Yarimoglu

Purpose The purpose of this paper is to predict customers’ intentions to use self-checkouts based on the technology acceptance model (TAM). Design/methodology/approach The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU), perceived usefulness (PU), behavioral intentions, technology anxiety (TA), perceived risk (PR), need for interaction (NI), and situational factors (SF). Before preparing the questionnaire, the focus group studies were organized to gain deeper insights regarding customers’ views about self-checkouts. Based on the results of the focus groups, some items in the constructs were adapted, and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs. Findings Out of the 16 hypotheses, 10 were found to be significant. The hypotheses related to the effects of PR, PEU, PU, intentions, while the effects of NI on PU and intentions; the effects of SF on intentions were not accepted in the study. According to the findings, PEU, PU, and TA affected intentions whereas PR, NI, and SF did not. Research limitations/implications There were some limitations related to demographics, attitudes, SF, and actual usage of self-checkouts. Practical implications To avoid queues, retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety. Originality/value The main contribution of this study was that the effects of different constructs were measured on Turkish customers’ intentions to use self-checkouts, which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF, TA, NI, and PR, all of which were added to the TAM in this study.


2022 ◽  
Vol 12 (1) ◽  
pp. 1-14
Author(s):  
Anoop George ◽  
Manu Melwin Joy ◽  
Muhammed Sajid. ◽  
Muhammed Nowfal S.

Gamification is all about using game features in a serious context to encourage people to use products or services. E-commerce has used gamification for marketing determinations to strengthen intent to use. Technology Acceptance Model is employed in the current study to investigate the intention to use gamified virtual currency in the Indian context. A survey was used to accumulate records from a random sample of relevant virtual currency users in an e-commerce context using a quantitative approach. Structural equation modeling (SEM) is expended for data analysis in this research. This empirical research shows the incremental impact of the users' perceptions of the ease of use and usefulness on intention to use virtual currency. The variable attitude seems to be not mediating significantly. There are also discussions, restrictions, and future research directions mentioned in this study


2016 ◽  
Vol 28 (8) ◽  
pp. 1535-1553 ◽  
Author(s):  
Jungsun (Sunny) Kim

Purpose This paper aims to examine whether a customer’s perceptions of hotel tablet apps serve as determinants of customers’ behavioral intention in terms of the app’s ease of use, usefulness, credibility and subjective norm. It also explored age and gender as moderators of the relationships between these determinants and customers’ behavioral intention as well as customers’ likelihood of using specific app functions across age and gender. Design/methodology/approach A research model, grounded in the technology acceptance model (TAM), used data collected from 751 hotel customers in the USA. The model was tested using confirmatory factor analysis and structural equation modeling. Findings The results showed that three of the four proposed determinants positively influenced customers’ behavioral intention toward hotel tablet apps. Neither gender nor age played significant moderating roles in the relationships between the four determinants and the behavioral intention. The study also revealed age- and gender-related differences in preferences for specific hotel tablet app functions. Practical implications This study helps operators successfully plan for investing in and implementing hotel apps. It assists operators in developing effective marketing strategies by understanding factors influencing customers’ app adoption and between group differences in their preferences on app functions. Originality/value This is the first tablet app adoption study that extends TAM to the hotel industry. Thus, it extends the literature on technology adoption by exploring both existing and new variables and testing them in a new context.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Han Wen ◽  
Sanjukta Pookulangara ◽  
Bharath M. Josiam

PurposeGuided by the theory of planned behavior and the technology acceptance model, the purpose of this study was to comprehensively examine the factors that affect consumers' intentions to continue to use food delivery apps by developing and testing a research model and examining the differences between consumers with different demographic characteristics or behavior changes during the coronavirus disease 2019 (COVID-19) pandemic.Design/methodology/approachAn online survey instrument was developed, and 316 valid responses were collected. A measurement model was developed and tested by using the structural equation modeling partial least squares (SEM-PLS) method.FindingsThe four basic constructs in the theory of planned behavior model (attitude, subjective norms, perceived behavioral control and trust) positively predicted consumers' intentions to continue to use food delivery apps. Predictors (including perceived innovativeness, hedonic and utilitarian motivations, perceived usefulness, perceived ease of use, and food safety risk perception) of these four basic constructs were also identified and confirmed. Multigroup analyses were conducted, and differences were found between male and female consumers and those with different ordering frequencies during the COVID-19 pandemic.Originality/valueThis study expanded the application of the theory of planned behavior by examining consumers' intentions to continue using food delivery apps and improved the authors’ understanding of this theory. Further, the successful application of the technology acceptance model improved the authors’ understanding of consumers' attitudes and behavioral intentions related to food delivery app usage.


Sign in / Sign up

Export Citation Format

Share Document