scholarly journals The intention of South Africans to engage in collaborative consumption: The case of Uber

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Adele Berndt ◽  
Anmar Pretorius ◽  
Derick Blaauw
Keyword(s):  
Technology Acceptance ◽  
T Test ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
F Test ◽  
Collaborative Consumption ◽  
Electronic Data Collection ◽  
South Africans ◽  
Managerial Implications ◽  
Value Add

Orientation: The idea of collaborative consumption is developing among consumers, where underutilised or excess resources, skills and money are shared among peers for compensation. Collaborative consumption involves sharing, and as such, Uber, an app-based transport service enables those with spare vehicle capacity to provide a fee-based transport solution.Research purpose: This study investigates the intention to use this service in a South African context, specifically through the Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) because of the suitability of these models in this context. Differences between regular and seldom users are also examined.Motivation for the study: With the widespread use of Uber in South Africa, understanding the factors contributing to the intention to use Uber requires examination.Research design, approach and method: Data were collected using a quantitative survey among panel respondents of South Africans, using electronic data collection. The research instrument comprised pre-existing items measured on a 6-point Likert scale. A total of 367 usable responses were received. Data analysis included testing for differences in means (t-test, Satterthwaite-Welch t-test, Anova F-test, Welch F-test) as well as regression analysis (by means of multiple regressions and two-stage least squares).Main findings: The findings indicate that South Africans intend to use the service largely due to their positive attitude towards the service, the perceived usefulness (PU) of the app and perceived behavioural (PB) control associated with the service. The value of the app has been highlighted in this research, and the importance of its functioning is evident.Practical/managerial implications: The importance of providing a positive service experience impacts the intention to use the service in the future. This emphasises the importance of the service itself and the functioning of the app.Contribution/value-add: Understanding the intention to use this service enables further development of this app and associated services.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

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.

scholarly journals BlocklyXR: An Interactive Extended Reality Toolkit for Digital Storytelling

2021 ◽  
Vol 11 (3) ◽  
pp. 1073
Author(s):  
Kwanghee Jung ◽  
Vinh T. Nguyen ◽  
Jaehoon Lee
Keyword(s):  
Technology Acceptance ◽  
Digital Storytelling ◽  
Visual Programming ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Programming Approach ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Block Based

Traditional in-app virtual reality (VR)/augmented reality (AR) applications pose a challenge of reaching users due to their dependency on operating systems (Android, iOS). Besides, it is difficult for general users to create their own VR/AR applications and foster their creative ideas without advanced programming skills. This paper addresses these issues by proposing an interactive extended reality toolkit, named BlocklyXR. The objective of this research is to provide general users with a visual programming environment to build an extended reality application for digital storytelling. The contextual design was generated from real-world map data retrieved from Mapbox GL. ThreeJS was used for setting up, rendering 3D environments, and controlling animations. A block-based programming approach was adapted to let users design their own story. The capability of BlocklyXR was illustrated with a use case where users were able to replicate the existing PalmitoAR utilizing the block-based authoring toolkit with fewer efforts in programming. The technology acceptance model was used to evaluate the adoption and use of the interactive extended reality toolkit. The findings showed that visual design and task technology fit had significantly positive effects on user motivation factors (perceived ease of use and perceived usefulness). In turn, perceived usefulness had statistically significant and positive effects on intention to use, while there was no significant impact of perceived ease of use on intention to use. Study implications and future research directions are discussed.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

Factors Influencing Citizens' Intention to Use E-Government Services

2017 ◽  
Vol 13 (1) ◽  
pp. 14-32 ◽  
Author(s):  
Isaac Kofi Mensah ◽  
Mi Jianing ◽  
Dilawar Khan Durrani
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Korean Students ◽  
Moderation Effect ◽  
Perceived Service Quality ◽  
Government Services

The purpose of this research paper is to investigate the determinates of Korean students in China to use e-government services. A total of 400 structured research questionnaire instruments was designed and administered to potential respondents of which 93.75% responded. The Technology Acceptance Mode (TAM) was used as a theoretical framework for this study. The data gathered was analyzed with SPSS version 20. The results show that all the predictors (Perceived Usefulness, Perceived Ease of Use, Perceived Service Quality, and Citizen Trust) investigated are significant positive determiners of Korean students' intention to adopt and use e-government services. The results further indicated that Citizen Trust positively and significantly moderated the positive relationship between perceived ease of use, perceived service quality and intention to use e-government services but failed to show any positive moderation effect on perceived usefulness and intention to use e-government services. The implications of these findings are further discussed.

scholarly journals Perceived value of social networking sites (SNS) in students' expressive participation in social movements

2014 ◽  
Vol 8 (1) ◽  
pp. 56-78 ◽  
Author(s):  
Juan D. Borrero ◽  
Shumaila Y. Yousafzai ◽  
Uzma Javed ◽  
Kelly L. Page
Keyword(s):  
Social Movements ◽  
University Students ◽  
Social Networking ◽  
Technology Acceptance ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Content Type

Purpose – The purpose of this study is to determine the beliefs that influence university students to use social networking sites (SNS) for expressive participation in social movements. Design/methodology/approach – The original technology acceptance model (TAM), a quantitative methodological approach, and a survey were used to collect responses from 214 university students in Spain. Structural equation modelling was used to test the proposed relationships. Findings – Results confirm that the perceived ease of use (PEU) and perceived usefulness (PU) of SNS significantly affect a student's intention to use SNS for expressive social participation in social movements, with use intention significantly affecting actual participation. There was no significant moderating effect of students' gender on these relationships. Originality/value – Although there is much discussion in the popular press about how people use SNS, there is no published empirical research on the determinants that contribute to a person's intention to use and actual use of SNS in the context of social movements. This paper is one of the first studies to investigate young people's perception of the SNS usefulness and ease of the use for participation in social movements.

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

scholarly journals Customer's Adoption of Mobile Government Services: The Role of Trust and Information Privacy

2021 ◽  
Vol 9 (1) ◽  
pp. 20-27
Author(s):  
Dr. Sulaiman Althuwaini ◽  
Dr. Mohamed Saleh Salem
Keyword(s):  
Saudi Arabia ◽  
Technology Acceptance ◽  
Mobile Services ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Technologies ◽  
Security And Privacy ◽  
Intention To Use ◽  
Government Services ◽  
The Impact

The purpose of the study is to examine the factors that impact the intention of Saudi citizens to use a mobile government smartphone application (Absher). Saudi Arabia seeks to invest and develop the infrastructure of the government’s mobile services, to be one of the leading countries in the region. Smartphone applications backed by mobile technologies have changed mobile services use which permit anywhere at any time access. Drawing on technology acceptance theories and relevant literature, this study developed and tested a structural model that integrates factors perceived usefulness, perceived ease of use, perceived privacy and trust in order to investigate the predictors of Absher use intention in the Saudi Arabia. The proposed model is tested using structural equation model (SEM) on data collected using an online questionnaire. Statistical analysis revealed that intention to use Absher was significantly associated with perceived trust, security and privacy, ease of use, and usefulness. Drawing on the technology acceptance model and trust theory, this study develops and empirically examines a model for users' intention to use mobile government services. This study contributes to the marketing literature by examining the impact of PU, PEOU and trust on mobile government services acceptance in developing countries.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Determinants of continuance intention to use mobile self-scanning applications in retail

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andreia Ferreira ◽  
Graça Miranda Silva ◽  
Álvaro Lopes Dias
Keyword(s):  
Technology Acceptance ◽  
Direct Effect ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
Positive Direct

PurposeRetailers are increasingly using self-service technologies to improve customer experience and reduce costs. The purpose of this study is to identify factors that could explain the level of continuance intention of mobile self-scanning applications in retail. Based on previous theoretical streams, the present study integrates technology readiness (TR) and service quality into the technology acceptance model.Design/methodology/approachUsing data collected through an online survey of 217 users of a mobile self-scanning application of a large supermarket chain operating in Portugal, the study uses partial least squares structural equation modeling to test the proposed hypotheses.FindingsThe results indicate that the continuance usage of the self-scanning apps is directly driven by users' satisfaction and perceived usefulness. Findings also show that TR has a positive and significant impact on ease of use and perceived usefulness. Ease of use has a positive impact on users' satisfaction and perceived usefulness but has no direct effect on the continuance intention to use the application. Perceived quality has a positive direct effect on satisfaction and a positive indirect effect on continuance intention. Finally, need for interaction has a negative effect on TR.Originality/valueThis work contributes to a better understanding of the emerging market for mobile self-scanning applications in retail applications, particularly relevant in a digital transition context.

What Predicts Commercial Bank Leaders’ Intention to Use Mobile Commerce?

2013 ◽  
pp. 151-170 ◽  
Author(s):  
Maddy Halbach ◽  
Tao Gong
Keyword(s):  
Technology Acceptance ◽  
Leadership Behaviors ◽  
Resistance To Change ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Behavioral Intent ◽  
Intent To Use ◽  
Acceptance Model

The purpose of this study was to investigate the roles leadership behaviors have on technology acceptance models, focusing on bank leaders’ intention to use mobile-commerce. The study included responses from 101 senior-level managers working at FDIC-insured commercial banks in the United States. Three instruments including Kouzes and Posner’s (1987) leadership practice inventory (LPI), Wu and Wang’s (2005) mobile commerce technology acceptance model (MC-TAM), and Oreg’s (2003) resistance to change model (RTC) were employed. A correlation analysis revealed that two transformational leadership behaviors—model the way and enabling others to act—positively relate to behavioral intent to use mobile commerce. A regression analysis found that perceived compatibility, perceived usefulness, and perceived ease of use are positively related to the behavioral intent to use m-Commerce. However, the authors found that the RTC and LPI model cannot predict the willingness to use m-Commerce.

Sign in / Sign up

Export Citation Format

Share Document