An Examination of Factors Associated with User Acceptance of Social Shopping Websites

2011 ◽  
Vol 7 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Jia Shen ◽  
Lauren B. Eder
Keyword(s):  
Technology Acceptance ◽  
Social Engagement ◽  
Strong Support ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Theoretical Development ◽  
Future Research ◽  
Social Commerce ◽  
Social Shopping

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.

An Examination of Factors Associated with User Acceptance of Social Shopping Websites

2013 ◽  
pp. 28-45
Author(s):  
Jia Shen ◽  
Lauren B. Eder
Keyword(s):  
Technology Acceptance ◽  
Social Engagement ◽  
Strong Support ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Theoretical Development ◽  
Future Research ◽  
Social Commerce ◽  
Social Shopping ◽  
Acceptance Model

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.

The Case of Electronic Approval System

2011 ◽  
pp. 269-285
Author(s):  
Sinawong Sang ◽  
Jeong-Dong Lee ◽  
Jongsu LeeSeoul
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
User Adoption ◽  
Acceptance Model

The purpose of this study is to assess and test the factors that influence user adoption of e-Government services: the Electronic Approval System (EAS). This study uses the Technology Acceptance Model (TAM), the extended TAM (TAM2), the Diffusion of Innovation (DOI), and trust to build a parsimonious yet comprehensive model of factors that influence user acceptance of the EAS. We collected data from a total of 112 public officers in 12 ministries in Cambodia. We assessed the model with regression analyses. The findings in this article show that the determinants of the model (perceived usefulness, relative advantage, and trust) explain 30.5% of the variance in user acceptance of the EAS. At the same time, image, output quality, and perceived ease of use explain 38.4% of the variance in user perception of the usefulness of the EAS. In this article, we discuss our findings, implications, and suggestions for future research.

scholarly journals Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Stefanie Jauk ◽  
Diether Kramer ◽  
Alexander Avian ◽  
Andrea Berghold ◽  
Werner Leodolter ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mixed Methods ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Actual System ◽  
System Use ◽  
Delirium Management

AbstractEarly identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already implemented machine learning-based application predicting the risk of delirium for in-patients. We applied a mixed methods design to collect opinions and concerns from health care professionals including physicians and nurses who regularly used the application. The evaluation was framed by the Technology Acceptance Model assessing perceived ease of use, perceived usefulness, actual system use and output quality of the application. Questionnaire results from 47 nurses and physicians as well as qualitative results of four expert group meetings rated the overall usefulness of the delirium prediction positively. For healthcare professionals, the visualization and presented information was understandable, the application was easy to use and the additional information for delirium management was appreciated. The application did not increase their workload, but the actual system use was still low during the pilot study. Our study provides insights into the user acceptance of a machine learning-based application supporting delirium management in hospitals. In order to improve quality and safety in healthcare, computerized decision support should predict actionable events and be highly accepted by users.

Understanding the Moderating Impact of Context-Awareness and Ubiquity on Mobile Government Services Adoption

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Technology Acceptance ◽  
Context Awareness ◽  
Structural Equation ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Policy Implications ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

The factors of context-awareness and mobile ubiquity are major components in the development and diffusion of any mobile technology-driven applications and services. Principally in the m-government development space, the issues of context-awareness and ubiquity are crucial if m-government initiatives are to be successful. The moderating effect of context-awareness and ubiquity on mobile government adoption is examined for 409 students from a Chinese University based on the Technology Acceptance Model. Using the Structural Equation Modeling technique, the results indicate that perceived ease of use (PEOU) was significantly related to intention to use, but perceived usefulness (PU) did not have a significant effect on mobile government adoption. The moderating analysis indicated that context-awareness significantly moderated the impact of PU but had no moderating effect on PEOU. Also, it was discovered that ubiquity was significant in moderating both the PEOU and PU on mobile government adoption. Policy implications and directions for future research are presented.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

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.

Adoption of Short Messaging Service (SMS) in Malaysia

2010 ◽  
Vol 1 (1) ◽  
pp. 41-51
Author(s):  
Ainin Sulaiman ◽  
Ali Hussein Saleh Zolait
Keyword(s):  
Technology Acceptance ◽  
Significant Relationship ◽  
Current Trend ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
Short Messaging Service ◽  
Perceived Enjoyment

Short Messaging Service (SMS) being an almost instantaneous communication medium that connects people is now a phenomenon that has grown and spread around the globe at an amazing speed. Given the current trend of SMS usage and its potential growth, this paper provides an insight into SMS adoption. The study attempts to delineate the demographics and usage profile of SMS users in Malaysia, as well as explaining the factors influencing SMS adoption in Malaysia by using a modified version of the Technology Acceptance Model (TAM), which was originally introduced by Davis (1989). The study presents the demographic and usage profile in terms of gender, age, occupation, monthly personal income, extent of SMS usage and so forth of 489 SMS users from four institutions of education in the Klang Valley and Selangor. The present research uses and validates the scales for variables developed by earlier studies, namely perceived usefulness, perceived ease of use, perceived enjoyment, and perceived fees, which are hypothesized to be fundamental determinants of behavioural intention. The scale items for the said variables were tested for reliability, correlation and regression. The application of correlation analysis reveals a significant relationship among the independent variables, namely, perceived usefulness, perceived enjoyment, and perceived ease of use with the dependent variable that is behavioural intention. With regards to the level of importance derived from regression analysis, usefulness ranks the highest, followed by ease of use and enjoyment in explaining SMS adoption in Malaysia. Perceived fees do not seem to have a significant relationship with behavioural intention. Some implications, limitations and recommendations for future research are also discussed.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

The Study of User Acceptance Toward E-Learning System in Higher Education

2017 ◽  
Vol 7 (2) ◽  
pp. 466
Author(s):  
Dana Indra Sensuse ◽  
Darmawan Baginda Napitupulu
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Evaluation Model ◽  
User Acceptance ◽  
Positive Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
E Learning

<p>E-learning is a model of delivering learning content electronically with the help of computers and multimedia. ABC University has implemented the e-learning system for two (2) years in order to improve the quality of teaching and learning process. This study aims to determine the level of user acceptance, especially from the perspective of students. In other words, this study also wants to evaluate the implementation of e-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University. The research method used was survey with the approach of TAM (Technology Acceptance Model) as the technology acceptance evaluation model consisting of two main factors: perceived ease of use and perceived usefulness. The results showed perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence on user acceptance. The perceived ease of use also significantly positive influence perceived usefulness. The variance of user acceptance could be explained by two factors about 50.5%. </p>

Determinants of digital learning acceptance behavior

2019 ◽  
Vol 12 (4) ◽  
pp. 659-672
Author(s):  
Mohit Kant Kaushik ◽  
Deepak Verma
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Education Institution ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Digital Learning ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Body Of Knowledge

Purpose The purpose of this paper is to review existing literature on users’ digital learning acceptance behavior and to identify gaps in the current body of knowledge and suggest future research directions. The paper also includes identification of motivating as well as inhibiting factors previously explored by academicians in the acceptance of digital learning. Design/methodology/approach The systematic literature review based on PRISMA methodology was conducted, and 200 articles from peer-reviewed journals on digital learning acceptance behavior using technology adoption theories were examined. Findings The study found an overall rise in the number of papers published yearly during 2002–2017. Most of the studies were published in two journals, i.e. Computers & Education and Computers in Human Behaviour and were carried out in Asia followed by Europe, North America, Africa, Oceania and South America. It was also noted that most of the studies have used the technology acceptance model and were empirical in nature. The study also found that prominently students’ digital learning acceptance behavior was investigated. The review also indicates a lack of qualitative and mixed method (qualitative and quantitative) approaches to study digital learning acceptance behavior. Practical implications The study identified gaps in the current body of knowledge by reviewing published articles that will suggest future directions for further research. The top three determinants of digital learning acceptance that have been analyzed were the behavioral intention, perceived usefulness and perceived ease of use, followed by attitude and user behavior. The study articulates the implications for providers in marketing digital learning products, for higher education institution in expanding digital content, for students seeking digital education tools, for educators in motivating students to accept digital learning and for governments in delivering cost-effective public education by utilizing digital learning. Originality/value The paper analyzes 200 publications on digital learning acceptance through technology adoption theories. To the best of the authors’ knowledge, this is the first initiative to provide systematic and exhaustive summarization of the knowledge in this subject. It further explores the various factors influencing digital learning adoption behavior and provides avenues for future research. The paper is useful for researchers working on digital learning acceptance behavior.

scholarly journals Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model

2020 ◽  
Vol 17 (5) ◽  
pp. 1501 ◽  
Author(s):  
Jie Zhao ◽  
Jianfei Wang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Purchase Intention ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Health Related ◽  
Short Video ◽  
Acceptance Model

The rapid development of short-video social network platforms provides us with an opportunity to conduct health-related advertising and recommendation. However, so far, there are no empirical evidence on whether users are willing to accept health-related short-video advertisements. Here, acceptance refers to purchase intention, meaning that users will read short-video ads, share ads with others, or even open the product link embedded in ads to purchase the product. In this paper, we make the first attempt to model and quantify user acceptance of health-related short-video advertisements. Particularly, we propose a new research model that enhances the Technology Acceptance Model (TAM) with two new designs. First, we propose four new antecedents including social interaction, intrusiveness, informativeness, and relevance into the original TAM to reflect the features of short-video social networks. Second, we introduce two mediator variables including perceived usefulness and attitude so that we can better study how different factors affect user acceptance of health-related short-video ads. We perform a survey on the Internet and conduct an empirical analysis of the surveyed data. The results show that the four antecedents as well as the perceived ease of use have significant influences on perceived usefulness, attitude, and purchase intention. Further, perceived usefulness plays a valid mediating role in attitude and purchase intention. We also found that users’ perceived ease of use on health-related short-video ads cannot significantly predict users’ attitudes toward ads. This is a new finding in social media-oriented ads. Finally, we integrate the empirical findings and present reasonable suggestions for advertisers and marketers to promote health-related short-video ads.

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