Increasing e-government adoption by emphasizing environmental sustainability: an extended case study in Peru

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sebastián Ramón Pérez Chacón ◽  
Jose Luis Rodriguez Vilchez ◽  
Jorge Antonio Cabrera Berrios ◽  
Carlos Arturo Raymundo Ibañez ◽  
David Santos Mauricio
Keyword(s):  
Technology Acceptance ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Self Interest ◽  
The Common ◽  
Acceptance Model ◽  
First Time

Purpose Low citizen adoption rates jeopardize the success and proliferation of e-government systems. This study aims to understand how the perception of environmental sustainability (ES) can influence a citizen’s intention to use e-government systems. Design/methodology/approach In a case study in Peru, the technology acceptance model (TAM) adoption model is extended with the construct of ES and evaluated with structural equation modeling. An 18-element, in-person survey was constructed and administered to citizens of Lima, Peru who had prior exposure to e-government systems. Findings The results show that citizens can be positively influenced to adopt e-government systems if they perceive that doing so will contribute to ES. Research limitations/implications As this was a preliminary study, further research should focus on specific, as opposed to general, e-government systems, as well as encompassing a broader cross section of the population. Practical implications Administrators of e-government initiatives can consider public-interest factors, alongside of the common self-interest factors, when looking to improve adoption rates of e-government systems. Originality/value This is the first time that TAM has been extended with the construct of ES.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

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.

scholarly journals Developing a Sharīʿah-compliant equity-based crowdfunding framework for entrepreneurship development in Malaysia

2020 ◽  
Vol 12 (2) ◽  
pp. 239-252
Author(s):  
Maya Puspa Rahman ◽  
Mohamed Asmy Mohd Thas Thaker ◽  
Jarita Duasa
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Islamic Law ◽  
Reasoned Action ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Content Type ◽  
Entrepreneurship Development ◽  
Acceptance Model

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.

An acceptance model for smart watches

2015 ◽  
Vol 25 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Ki Joon Kim ◽  
Dong-Hee Shin
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Determinants ◽  
Smart Watch ◽  
Acceptance Model

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

scholarly journals Evaluating the customers' dining attitudes, e-satisfaction and continuance intention toward mobile food ordering apps (MFOAs): evidence from Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Al Amin ◽  
Md. Shamsul Arefin ◽  
Nayeema Sultana ◽  
Md. Rakibul Islam ◽  
Israt Jahan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Safety Measures ◽  
Content Type ◽  
Online Sales ◽  
Convenience Sampling ◽  
Acceptance Model

PurposeThis study was designed to specifically explore confirmation and perceived usefulness associated with mobile food ordering apps (MFOAs) in consideration of their impacts upon attitudes, satisfaction and intention to continuously use.Design/methodology/approachThe research utilized the convenience sampling to gather data from 250 respondents having prior experience with MFOAs during COVID-19 pandemic period in Bangladesh. The Structural Equation Modeling technique was applied to analyze the data using SmartPLS 3 software.FindingsThis study's results showed that customers' perceived confirmation and usefulness were significant in determining their dinning attitudes. Besides, customers' dining attitudes were positively related to e-satisfaction. Finally, the customers’ continuance intention to use MFOAs was significantly influenced by their e-satisfaction.Research limitations/implicationsRestaurants managers should focus on online sales through MFOAs during the pandemic period since social distancing is a key strategy to manage COVID-19. Customers should be assured that the safety measures are undertaken while delivering the food.Originality/valueThis study incorporated the expectation-confirmation theory and technology acceptance model and tested it in the context of MFOAs.

The adoption of e-learning beyond MOOCs for higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maggie Liu ◽  
Chunhui Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Content Type ◽  
Factors Influencing ◽  
E Learning ◽  
Acceptance Model ◽  
First Time

Purpose This paper aims to explore factors influencing university students’ intent to take formal lectures completely through e-learning with cloud meetings. Design/methodology/approach This study has surveyed Chinese students who have experienced e-learning with cloud meetings as well as traditional massive open online courses (MOOC) without live dialogues. The data are analysed based on structural equation modelling to assess factors influencing students’ intent to choose e-learning with cloud meetings. Findings The findings show that as per the technology acceptance model, e-learning students who find learning to be easier with cloud meetings than MOOCs believe cloud meeting courses to be more beneficial and thus are more willing to take e-learning with cloud meetings. Originality/value This study compares e-learning with cloud meetings with MOOCs without live dialogues for the first time to highlight the value of open dialogues in real time for effective e-learning.

End-User Acceptance of a Learning Management System in Two Hybrid Large-Sized Introductory Undergraduate Courses: A Case Study

2005 ◽  
Vol 33 (4) ◽  
pp. 355-365 ◽  
Author(s):  
Cheng-Chang “Sam” Pan ◽  
Glenda Gunter ◽  
Stephen Sivo ◽  
Richard Cornell
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Qualitative Inquiry ◽  
Equation Modeling ◽  
Hybrid Courses ◽  
Final Grade ◽  
External Variables ◽  
Acceptance Model ◽  
The Relationship

Drawing from the Technology Acceptance Model, this correlational study was intended to determine student users' adoption of WebCT and its relationship to their final grade. In acknowledging the relevance of human-computer interaction, the author attempted to investigate a belief-attitude-behavior relationship in a WebCT setting. Given a social learning approach, two external variables affecting the relationship were taken into account. The qualitative inquiry involved two large-sized undergraduate hybrid courses with a total of 469 students participating. To model both direct and indirect causal effects as well as measurement error, path analysis was conducted, using structural equation modeling. Implications for practitioners and researchers and addressed.

Gain more insight from your PLS-SEM results

2016 ◽  
Vol 116 (9) ◽  
pp. 1865-1886 ◽  
Author(s):  
Christian M. Ringle ◽  
Marko Sarstedt
Keyword(s):  
Technology Acceptance ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Content Type ◽  
Systematic Procedure ◽  
Average Value

Purpose The purpose of this paper is to introduce the importance-performance map analysis (IPMA) and explain how to use it in the context of partial least squares structural equation modeling (PLS-SEM). A case study, drawing on the IPMA module implemented in the SmartPLS 3 software, illustrates the results generation and interpretation. Design/methodology/approach The explications first address the principles of the IPMA and introduce a systematic procedure for its use, followed by a detailed discussion of each step. Finally, a case study on the use of technology shows how to apply the IPMA in empirical PLS-SEM studies. Findings The IPMA gives researchers the opportunity to enrich their PLS-SEM analysis and, thereby, gain additional results and findings. More specifically, instead of only analyzing the path coefficients (i.e. the importance dimension), the IPMA also considers the average value of the latent variables and their indicators (i.e. performance dimension). Research limitations/implications An IPMA is tied to certain requirements, which relate to the measurement scales, variable coding, and indicator weights estimates. Moreover, the IPMA presumes linear relationships. This research does not address the computation and interpretation of non-linear dependencies. Practical implications The IPMA is particularly useful for generating additional findings and conclusions by combining the analysis of the importance and performance dimensions in practical PLS-SEM applications. Thereby, the IPMA allows for prioritizing constructs to improve a certain target construct. Expanding the analysis to the indicator level facilitates identifying the most important areas of specific actions. These results are, for example, particularly important in practical studies identifying the differing impacts that certain construct dimensions have on phenomena such as technology acceptance, corporate reputation, or customer satisfaction. Originality/value This paper is the first to offer researchers a tutorial and annotated example of an IPMA. Based on a state-of-the-art review of the technique and a detailed explanation of the method, this paper introduces a systematic procedure for running an IPMA. A case study illustrates the analysis, using the SmartPLS 3 software.

Impact of contextuality on mobile learning acceptance

2016 ◽  
Vol 13 (2) ◽  
pp. 107-122 ◽  
Author(s):  
Stephan Böhm ◽  
Georges Philip Constantine
Keyword(s):  
Language Learning ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Learning Activity ◽  
Content Type ◽  
Location Aware ◽  
Mobile Learning Acceptance ◽  
Acceptance Model

Purpose This paper aims to focus on contextualized features for mobile language learning apps. The scope of this paper is to explore students’ perceptions of contextualized mobile language learning. Design/methodology/approach An extended Technology Acceptance Model was developed to analyze the effect of contextual app features on students’ usage intention. The suggested app concept applies context-triggered push notifications to initiate learning sessions based on a location-aware vocabulary. Partial least squares structural equation modeling (PLS-SEM) was used for an empirical validation of the proposed research model. Findings The results of the analysis revealed, that students perceived the proposed app as beneficial for their learning endeavors. The location-aware feature is essentially relevant to improve the perceived usefulness of the system, as it may increase the learning effectiveness of the app in their everyday life. Research limitations/implications The study was conducted in quite a homogenous population. The sample size of the survey was rather small (n = 45). Further research is necessary to confirm the promising results of the research. Originality/value The results give some first evidence that the integration of innovative contextual features in mobile language learning apps may increase the usage intention and motivation to engage in a learning activity.

The adoption of teaching assistant robots: a technology acceptance model approach

2016 ◽  
Vol 50 (4) ◽  
pp. 354-366 ◽  
Author(s):  
Eunil Park ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Rapid Development ◽  
Teaching Assistant ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
User Attention ◽  
Acceptance Model

Purpose Based on rapid improvements in telecommunications and wireless networks with extensive educational contents, numerous studies have been conducted to improve our educational success/attainment/environment. With this trend, the purpose of this paper is to investigate users’ perceptions of teaching assistant (TA) robots and the possible motivations that impact the users’ intention to use (IU) the robots. Design/methodology/approach In light of the rapid development of and attempts at understanding interactions with social robots, including TA robots, this study uses structural equation modeling and confirmatory factor analysis. Findings The results indicated that perceived usefulness was the most crucial factor determining the users’ IU for TA robots. In addition, the relationships of the original technology acceptance model were confirmed. The study findings demonstrated the crucial importance of perceived enjoyment and service quality. Originality/value Although the role of TA robots has gained user attention, few investigations have been conducted to explain how IU is formed. The current study can thus act as the foundation for exploring the acceptance process in the context of TA robots.

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