scholarly journals Investigation of moderator factors in e-business adoption: A quantitative meta-analysis of moderating effects on the drivers of intention and behavior

2017 ◽  
Vol 14 (1) ◽  
pp. 75-102 ◽  
Author(s):  
Bostjan Sumak ◽  
Marjan Hericko ◽  
Zoran Budimac ◽  
Maja Pusnik

E-business technology is becoming one of the most important global markets where e-business solutions will have to adapt to new technologies. The main objective in this study was to synthesize existing knowledge in the field of e-business technology acceptance and to understand differences in Technology Acceptance Model (TAM) related causal effect sizes for different e-business contexts. A quantitative meta-analysis of existing empirical research about factors affecting e-business adoption was conducted using 89 published papers that provided empirical data about causal relationships. A moderator analysis was carried out to investigate the moderating effect of four factors: consumer type, device type, continent and respondent type. The results of the study showed a moderating effect for all four proposed factors in almost all TAM-related causal paths. The study also showed that TAM is the most common theory being applied in e-business adoption research.

Author(s):  
Rawan A. Alsharida ◽  
Maytham M. Hammood ◽  
Mostafa Al-Emran

Numerous review studies were conducted in the past to understand the applicability of the technology acceptance model (TAM) in m-learning context by examining several issues. Although each of those studies provided a valuable synthesis of TAM, further issues are still uncovered and call for further research. Therefore, this research aims to systematically review the existing TAM-based m-learning studies through the analysis of various issues, including the factors affecting the m-learning adoption, research methods, TAM progress over publication years, online databases, active countries, and sample size. Out of 458 articles collected, a total of 64 studies published between 2017 and 2020 were critically analyzed. The main results indicated that self-efficacy is the most frequent factor affecting the m-learning adoption, followed by subjective norm, enjoyment, mobile anxiety, facilitating conditions, social influence, innovativeness, and satisfaction, respectively. Additionally, most of the analyzed studies have relied on questionnaire surveys in collecting their empirical data. Although it was developed in 1989, the results showed that the number of TAM-based m-learning studies is increasing year by year, which in turn, increases the credibility of the model in explaining the users’ intentions towards technology adoption. We have also discussed the contributions of this systematic review and the implications that it could yield for future attempts.


Author(s):  
Hanife Çivril ◽  
Ali Ekrem Özkul

Laboratories, which are an integral part of education in disciplines that require hands-on training and application, can now be presented using new technologies, and application activities can be realized at a distance. In this study, virtual laboratories (VLs) are discussed, and factors affecting the students’ intention to use VLs are investigated. The study was conducted within laboratory applications of circuit analysis within an associate degree program of a distance teaching university in Turkey. In this study, which used exploratory sequential design approach, the learners’ intentions to use a VL were examined within the framework of the technology acceptance model (TAM). Content analysis was used for the analysis of qualitative data, and the partial least squares structural equation model was used for the analysis of quantitative data. As a result of the study, the developed TAM-based research model is a useful conceptual framework towards understanding and explaining the intentions of learners’ virtual laboratory usage. The results of this study will guide institutions to integrate VLs effectively into the education process and to increase and disseminate the use of VLs by learners.


2012 ◽  
Vol 2 (1) ◽  
pp. 147
Author(s):  
Mohammad Hossain Moshref Javadi ◽  
Mohsen Allameh ◽  
Arash Zare

Since investment on cinematic technologies imposes excessive costs on authorities, acceptance of these technologies among its users has an important role in their success and final efficiency. The purpose of this study was to analyze factors influencing on acceptance of technology among Tehran cinematic artists. In this study, at first, by collecting information from the library, determinant variables of usage of new technologies were specified. On this basis, in addition to the variables of model of acceptance of technology, social influence, resistance to change and self- efficacy were studied. In next stage, for surveying the effect of studied components, closed- end 27- items questionnaire was used for collecting data. The measurement tools in this study were the established questionnaire made of a technology acceptance model. The number of sample was determined equal to 211 according to the preliminary study that samples included Tehran cinematic actors. Based on the results, all variables, except for resistance to change and self- efficacy of computer that had meaningful difference less than average, other had meaningful difference more or equal to average. Mean difference of attitude toward usage of technology and of social influence was meaningful in different graduate ranges and mean of other factors shows no meaningful difference in different graduate ranges. All assumptions were confirmed in 5% meaningful level. Keywords: Technology Acceptance Model, Cinema, Social Influence, Resistance to Change, Self- Efficacy.


2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.


2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.


2019 ◽  
Vol 91 (3) ◽  
pp. 274-298
Author(s):  
Dawei Liu ◽  
Anqi Liu ◽  
Wanying Tu

New media entertainment is currently being spotlighted by business practitioners and researchers. This article highlighted this issue of elder online users and explored the factors affecting their acceptance decisions in new media entertainment. Older adults prefer to status and value orientations, so their online acceptance of new media entertainment is significantly influenced by the perceived usefulness and social benefits. In addition, types of living arrangement significantly affect technology acceptance model of older adults.


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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.


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