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

Author(s):  
Jia Shen ◽  
Lauren B. Eder

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.

2011 ◽  
Vol 7 (1) ◽  
pp. 19-36 ◽  
Author(s):  
Jia Shen ◽  
Lauren B. Eder

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.


Author(s):  
Sinawong Sang ◽  
Jeong-Dong Lee ◽  
Jongsu LeeSeoul

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.


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.


Author(s):  
M. McCord

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.


Author(s):  
Jie Zhao ◽  
Jianfei Wang

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.


2013 ◽  
Vol 50 ◽  
Author(s):  
Olumayowa Mulero ◽  
Michael Adeyeye

The explosion of Internet usage has drawn the attention of researchers towards online Social Networks Marketing (SNM). Research has shown that a number of the Internet users are distrustful and indecisive, when it comes to the use of social networks marketing system. Therefore, there is a need for researchers to identify some of the factors that determine users’ acceptance of social networks marketing using Technology Acceptance Model (TAM). This study extended the Technology Acceptance Model theoretical framework to predict consumer acceptance of social networks marketing within Western Cape Province of South Africa. The research model was tested using data collected from 470 questionnaires and analysed using linear regression. The results showed that user intentions to use SNM are strongly and positively correlated with user acceptance of using SNM systems. Empirical results confirmed that perceived credibility and perceived usefulness are the strongest determinant in predicting user intentions to use SNM system.


2020 ◽  
Vol 5 (2) ◽  
pp. 41-53
Author(s):  
Abidah MatTaib ◽  
Noor Atirah Mohd Shukri ◽  
Nurul Hidayah Ahmad Zukri ◽  
Norlizawati Ghazali

Final Year Project (FYP) is a compulsory requirement for graduation of every bachelor programme in Universiti Teknologi MARA (UiTM). Finding a topic for the final year project is quite challenging. However, being able to access previous FYP thesis helps students to generate some ideas. Supervisors and lecturers can also determine whether the proposed project is already among the previous research project or a new one. Unfortunately, the past FYP thesis is usually kept in a specific thesis room. Hence, this will make going to the thesis room and searching the thesis for references quite burdensome. The lack of electronic management for FYP thesis causes several problems in arrangement and search methods. This project aims to develop Smart Final Year Project Archive System (SFYPAS) using Laravel Framework and evaluate the system in terms of technology acceptance model (TAM). SFYPAS is developed using Laravel framework and the methodology used throughout the project is using Software Development Life Cycle (SDLC). The system tested based on its functionality, user acceptance with TAM and heuristic evaluation by an expert. The system was tested on thirty respondents who shared their feedback by answering a set of questionnaires upon completing the testing. The result shows that the mean for user acceptance with TAM in terms of perceived ease of use is 4.27, while perceived usefulness is 4.47. Thus, it shows that the respondents are satisfied with the system in terms of its perceived usefulness. In conclusion, this research has achieved the objectives where it eases the user by providing a web-based smart archive system as a platform to access the past FYP thesis. For future work, the system can be improved by adding a search engine that implements any searching algorithm to yield a better result.


2013 ◽  
Vol 1 (2) ◽  
pp. 342 ◽  
Author(s):  
Jean-Pierre Maxime Lévy Mangin ◽  
Mario Martínez Guerrero ◽  
Normand Bourgault ◽  
José Manuel Ortega Egea

<p><em>Nowadays, the Internet is a powerful mean to complement the traditional marketing channels used by banks. Based on the Technology Acceptance Model, this paper explores the importance of two external latent variables—‘Price’ and ‘Convenience’ —as antecedents of ‘Perceived Usefulness’ and consumer acceptance of on-line banking in a Canadian and Spanish environment; the results highlight the predictive power and accuracy of the model cross-nationally. In fact, the findings were quite similar in the Canadian and Spanish samples, and stress that ‘Perceived Usefulness’ and ‘Attitude’ are the key drivers of the consumers’ on-line banking acceptance. Conclusions and recommendations for future research are also provided.</em></p>


2019 ◽  
Vol 5 (3) ◽  
pp. 161
Author(s):  
Yusuf Wahyu Setiya Putra ◽  
Kusrini Kusrini ◽  
Ferry Wahyu Wibowo

Tujuan dari penelitian ini adalah untuk menganalisis penerimaan user pada sistem informasi rumah sakit dengan menggunakan variabel Kegunaan yang Dirasakan (Perceived Usefullness), kemudahan yang dirasakan (Percieved Ease of Use) dan variabel sikap pengguna (Atittute toward Using) yang ada pada TAM (Technology Acceptance Model). Sampel pada penelitian ini berjumlah 66 responden. Data diperoleh menggunakan kuesioner yang telah diuji validitas dan reliabilitasnya, kemudian dianalisis dengan teknik regresi linier berganda. Hasil analisis persamaan regresi ke-1 menunjukkan variabel Perceived Usefullness (X1) memiliki pengaruh signifikan terhadap variabel Attitute toward Using (Y) dengan t hitung sebesar 6,551 dengan signifikansi p = 0,000 (<0,05). Variabel Percieved Ease of Use (X2) berpengaruh signifikan terhadap variabel Attitute toward Using (Y) dengan t hitung 1,988 dengan signifikan p = 0,011(<0,05). Hasil analisis persamaan regresi ke-2 menunjukkan bahwa variabel X1 dan X2 secara bersama-sama berpengaruh signifikan terhadap Attitute toward Using (Y) karena nilai statistik F Hitung = 59,712 dengan signifikansi p = 0,000(<0,05).Kata Kunci — Sistem informasi, Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, TAMThe purpose of this study is to analyze user acceptance in hospital information systems using Perceived Usefulness, Perceived Ease of Use, and Atittute toward Using variables in TAM (Technology Acceptance). Model). The sample in this study amounted to 66 respondents. Data obtained using questionnaires that have been tested for validity and reliability, then analyzed by multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the Perceived Usefulness variable (X1) has a significant influence on the Attitute toward Using (Y) variable with t count of 6.551 with significance p = 0.000 (<0.05). The variable Percieved Ease of Use (X2) has a significant effect on the Attitute toward Using (Y) variable with t count 1.988 with a significant p = 0.011 (<0.05). The results of the analysis of the second regression equation show that variables X1 and X2 together have a significant effect on Attitute toward Using (Y) because the statistical value F count = 59.712 with significance p = 0.000 (<0.05).Keywords — Information System, Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, TAM


2018 ◽  
Vol 9 (3) ◽  
pp. 36 ◽  
Author(s):  
Daniel Fett ◽  
Axel Ensslen ◽  
Patrick Jochem ◽  
Wolf Fichtner

This study presents results of a survey-based analysis on user acceptance of wireless electric vehicle charging. A structural equation model is developed based on Davis’ technology acceptance model (TAM). It is expanded integrating elements of Ajzen’s theory of planned behavior (TPB). The main factors influencing acceptance of wireless electric vehicle charging are evaluated and analyzed. Empirical findings indicate that survey participants’ acceptance of wireless electric vehicle charging is mainly influenced by affective evaluations of wireless charging, subjective norms, perceived usefulness of wireless charging, and environmental awareness. The results indicate a high degree of acceptance for wireless charging. Even individuals with lower degrees of acceptance are willing to use wireless charging within car-sharing or commercial fleets.


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