Adoption of Gamified Systems

2015 ◽  
Vol 5 (3) ◽  
pp. 18-37 ◽  
Author(s):  
Gokhan Aydin
Keyword(s):  
Technology Acceptance ◽  
Attitude Change ◽  
Structural Equation ◽  
Online Survey ◽  
New Technology ◽  
User Engagement ◽  
Factors Affecting ◽  
Wide Range ◽  
Technology Applications ◽  
Acceptance Model

This study aims to understand the factors affecting the attitude towards and adoption of gamified systems, which are receiving increasing interest worldwide as they can be used for attitude change and increasing user engagement in a wide range of areas. Whether individuals use these systems because they consider them useful or if there are other motivational factors deemed important are analysed. Considering the gamification applications as new technology applications, an extended technology acceptance model (TAM) is used based on existing literature to explain attitude formation and adoption of gamified systems. An online survey is carried out on a social networking gamification website (EmpireAvenue.com) and the collected data is analysed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that extended TAM incorporating intrinsic motivation elements (enjoyment and playfulness) is able to explain attitudes towards and continued use intention for a gamified system.

Assessment of A Mobile Educational Coaching App

2018 ◽  
Vol 14 (1) ◽  
pp. 22-43
Author(s):  
Niousha Shahidi ◽  
Vesselina Tossan ◽  
Silvia Cacho-Elizondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Causal Structure ◽  
Convenience Sample ◽  
Equation Modelling ◽  
Educational Coaching ◽  
Acceptance Model ◽  
Type Of School

This article explores which antecedents explain intentions to adopt a mobile coaching app. To that end, this study describes a coaching service designed to guide/encourage students throughout their studies in order to validate a new model of planned behavior based on the Technology Acceptance Model and the Goal-Directed Behavioral theory. The methodology included a short qualitative study and an online survey to examine the theoretical model which is based on scales tested in previous studies. The convenience sample is composed of students (Bachelor and Master/MBA) with the results analyzed using structural equation modelling to test the proposed model's causal structure. The results show different adoption patterns by gender and type of school.

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

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.

Factors Influencing the Use of Smartphones for Programing: A Structural Equation Modeling Approach

2020 ◽  
Vol 17 (05) ◽  
pp. 2050032
Author(s):  
Asim Suleman A. Alwabel ◽  
Said S. Al-Gahtani ◽  
Ahmed Talab
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
End Users ◽  
Ease Of Use ◽  
Decision Makers ◽  
Equation Modeling ◽  
External Control ◽  
Factors Affecting ◽  
Hand Tool ◽  
Acceptance Model

The ubiquitous application of smartphones and their advanced development have created an opportunity for using them as coding platforms. In this study, we compared between the use of personal computers (PCs) and smartphones to investigate the factors affecting the use of smartphones in programing. The behavioral intentions of smartphone end-users are inspired by the ease of use perception, enjoyment perception, programing anxiety, perception of external control, and smartphone design aesthetics. Although the [Formula: see text] value of the smartphone model was lower than that of the PC model, the end-users’ adoption decisions could have shifted toward accepting the use of smartphones for programing had their decisions been free of enforcement. In this study, design aesthetics and programing anxiety were introduced to Technology Acceptance Model 3 in an Arabic environment. Additionally, the model was creatively applied for guiding practitioners in two situations. First, when organizations are in the quest for emerging technology to replace the legacy technology, they might apply the presented side-by-side comparison of the use of PCs with that of smartphones in programing. Second, at a time when decision makers analyze what might hinder the adoption of a recently introduced technology, the model can be a successful hand tool guiding the top management in identifying technology acceptance interventions, an approach this research revealed. Furthermore, in this paper, the research implications and recommendations are presented for technology practitioners and designers.

scholarly journals ROBOTS IN EDUCATION: A JORDANIAN UNIVERSITY CASE STUDY

2020 ◽  
Vol 3 (2) ◽  
pp. 164-180
Author(s):  
Ala Almahameed ◽  
Dana AlShwayat ◽  
Mario Arias-Oliva ◽  
Jorge Pelegrín-Borondo
Keyword(s):  
Technology Acceptance ◽  
Social Characteristics ◽  
Educational Context ◽  
Structured Interviews ◽  
Human Environment ◽  
Factors Affecting ◽  
Wide Range ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Social Entities

This paper adopts a technology acceptance model used for studying Robot’s acceptance and focuses on the acceptance of robotic technologies. Despite a wide range of studies on the acceptance and usage of robotics technologies in different fields, there is lacuna of empirical evidence on the acceptance of robotics technologies in the educational context. We contribute to the scholarship on robotics technologies in an educational context, by using qualitative semi-structured interviews, and proposing a research model to empirically explore the main factors affecting the acceptance of robotics technologies, and particularly among university students. We contribute to practice by offering insights on users' expectations and intentions toward the potential use of robot services to both robot developers, and educational institutions alike. The results revealed a potential impact of effort expectancy, performance expectancy, social influence, and facilitating conditions on the intention behavior towards using robots as academic advisors. Additionally, an emergent dimension (i.e. emotions) was found to have an influence on the behavioral intentions, via its proposed impact on performance and effort expectancies. Overall, social characteristics of robots ought to be considered when investigating their acceptance, specifically when used as social entities in a human environment.

scholarly journals PENERIMAAN FINANCIAL TECHNOLOGY BERBASIS TECHNOLOGY ACCEPTANCE MODEL (TAM)

2020 ◽  
Vol 12 (1) ◽  
pp. 33-46
Author(s):  
Sutrisno Sutrisno ◽  
Diva Riza FAHLEFI ◽  
Sarbullah Sarbullah
Keyword(s):  
Technology Acceptance ◽  
Significant Influence ◽  
Perceived Risk ◽  
New Technology ◽  
Coefficient Of Determination ◽  
Open Platform ◽  
Technology Applications ◽  
Acceptance Model ◽  
Feasibility Test ◽  
Financial Technology

Tecnology Acceptance Model (TAM) developed by Davis which is a successful and acceptable model in order to predict the acceptance of a new technology. In the last two years, in Indonesia there has emerged a financial technology service that was designed with the open platform principle, OVO. OVO is a service engaged in the field of financial technology, is a smart application designed to make payment services and transactions online, and has penetrated into all business expansion. The purpose of this research is to find out. the effect of perceived ease, perceived risk and attitude of use on the intention of OVO financial technology behavior in Surakarta City. The population used in this study were all users who intended to use OVO financial technology behavior in Surakarta City amounted to 140. The sample used in this study were 60 people. Data analysis methods used are descriptive statistical analysis, validity test, Classic Assumption Test, multiple regression analysis, t-test statistics and the model feasibility test and the coefficient of determination. The results of this study indicate that perceptions of ease have a positive and significant influence on the behavioral intention of OVO financial technology in the city of Surakarta with a significance of 0,000 <0.05. perceived risk has a positive and significant effect on the intention of OVO financial technology behavior in Surakarta City with a significance of 0.002 <0.05. usage attitude has a positive and significant influence on the intention of OVO financial technology behavior in Surakarta City with a significance of 0,000 <0.05. This means that all variables affect the intention of OVO financial technology behavior in Surakarta City. Seeing the results of the research conclusions, that Behavioral Intetion of the users stated that those interested in using OVO financial technology applications with the advantages offered such as free transfers

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 Evaluate Student Satisfaction of Student Information System Utilising Technology Acceptance Model and Trust in China

2021 ◽  
Vol 13 (4) ◽  
pp. 283-309
Author(s):  
Samar Zaineldeen ◽  
Li Hongbo
Keyword(s):  
Technology Acceptance ◽  
Student Satisfaction ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Considerable Effect ◽  
Statistical Investigation ◽  
Factors Affecting ◽  
Overseas Students ◽  
Student Information ◽  
Acceptance Model

In this study, the factors affecting student satisfaction with student information systems have been investigated by applied Technology Acceptance Model and rust. Partial least squares structural equation modelling implemented to study these factors. 400 authentic responses from overseas students in a large number of universities located in Jiangsu province China have been evaluated. The statistical investigation findings demonstrate that student trust has a considerable effect on student satisfaction; meanwhile, the behavioural intention of use has no significant impact on student satisfaction.

Study of Intentions to Use Cloud CRM Within Saudi SMEs

2019 ◽  
pp. 33-50
Author(s):  
Karim Mezghani ◽  
Mohammed AbdulAziz Almansour
Keyword(s):  
Factor Analysis ◽  
Saudi Arabia ◽  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
New Technology ◽  
Equation Modeling ◽  
Acceptance Model ◽  
Managerial Perspective

This chapter attempts to study the intentions to use cloud-based CRM applications through a combination between a Technology Acceptance Model (TAM) and a Theory of Planned Behavior (TPB). To test the different links identified in the research model, a research questionnaire was prepared and sent to marketing managers within Saudi SMEs in Saudi Arabia. A total of 41 useful questionnaires were collected. The authors opted to the structural equation modeling (SEM) using the Partial Least Squares (PLS) to analyze data. The tests are prepared with XLstat software since it integrates both factor analysis and PLS modules. Among the main statistical analyses, the authors conclude that the TPB-TAM is suitable to study cloud CRM. From a managerial perspective, the authors expect that cloud CRM is perceived with good impression and that this new technology should be implemented strongly and gradually in SMEs to improve the quality of services provided to customers and organizations.

Understanding Intention and Behavior Toward Online Purchase of Agriculture and Fisheries Products Using Extended Technology Acceptance Model

2021 ◽  
Vol 17 (4) ◽  
pp. 118-137
Author(s):  
Junrie B. Matias
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Usage Behavior ◽  
Acceptance Model ◽  
And Behavior

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.

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.

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