Can gamification and interface design aesthetics lead to MOOCs' success?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Interface Design ◽  
Structural Equation ◽  
Online Courses ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Flow Experience ◽  
Continuance Intention ◽  
Comprehensive University ◽  
Content Type ◽  
Perceived Impact

PurposeThe purpose of this study is to propose an integrated post-adoption model based on expectation-confirmation model (ECM) and flow theory to examine whether gamification and interface design aesthetics as antecedents to students' beliefs can affect their continuance intention of massive open online courses (MOOCs) and perceived impact on learning.Design/methodology/approachSample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 318 (53.0%) useable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study's results verified that students' perceived gamification and interface design aesthetics of MOOCs positively affected their perceived usefulness, confirmation and flow experience elicited by MOOCs, and these in turn directly or indirectly led to their satisfaction, continuance intention of MOOCs and perceived impact on learning. Essentially, the results strongly support the research model with all hypothesized links being significant.Originality/valueIt should be particularly noticed that this study contributes to the application of capturing both ECM and flow experience (i.e. an intrinsic motivator) for completely explaining students' perceived gamification and interface design aesthetics as external variables to their continuance intention of MOOCs and perceived impact on learning, and this study's empirical evidence can further shed light on the possible formulation of MOOCs success.

How does task-technology fit influence cloud-based e-learning continuance and impact?

2019 ◽  
Vol 61 (4) ◽  
pp. 480-499 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Educational Institution ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
Comprehensive University ◽  
Content Type ◽  
E Learning ◽  
Task Technology Fit ◽  
Perceived Impact

Purpose According to expectation–confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students’ cloud-based e-learning continuance and evaluate whether TTF affects students’ perceived impact on learning of the cloud-based e-learning system within the educational institution. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taiwan. A total of 500 questionnaires were distributed in the campus, and 391 (78.2 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s results verified that both task characteristics and technology characteristics affected students’ perceived TTF, which significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, and these in turn directly or indirectly led to their continuance intention of the system and perceived impact on learning; essentially, the results strongly supported the research model integrating ECM and TTF model via positioning key constructs as the drivers with all hypothesized links being significant. Originality/value This study contributes to an understanding of the TTF in explaining students’ cloud-based e-learning continuance that is difficult to explain with only their utilitarian perception of the cloud-based e-learning system, and further places considerably more emphasis upon students’ perceived impact on learning greatly driven by their TTF in the system. Thus, this study’s empirical evidence on incorporating ECM and TTF model can shed light on the outcome for cloud-based e-learning continuance and enhance better understanding of a richer post-adoption model.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective

2020 ◽  
Vol 27 (4) ◽  
pp. 1591-1614 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Individual Performance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.

Are personal innovativeness and social influence critical to continue with mobile commerce?

2014 ◽  
Vol 24 (2) ◽  
pp. 134-159 ◽  
Author(s):  
June Lu
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type ◽  
Personal Innovativeness ◽  
The Impact

Purpose – The purpose of this paper is to report a study investigating the impact of personal innovativeness in information technology (PIIT) and social influence on user continuance intention toward mobile commerce (m-commerce) in the USA. Design/methodology/approach – A survey was conducted among undergraduate and graduate mobile users in a regional university. Structural equation modeling procedures were deployed to analyse 323 valid data points. Findings – The study found that among well-educated m-commerce users, user personal innovativeness as measured by PIIT and perceived usefulness, the determinants of initial adoption, remain as strong determinants of user continuance intention. PIIT also remains as the antecedent of perceived ease of use. Social influence has changed the pattern of influence on continuance intention. Research limitations/implications – This study is unable to investigate m-commerce user expectations and satisfaction levels. The small and convenient sample does not offer guarantee of the findings. Practical implications – M-commerce providers should pay adequate attention to personal innovativeness, since it affects mobile user willingness and capability to welcome and adapt to new services and features. They should always utilize social channels to gather feedback, to distribute new changes or features, and to exert positive influence. Originality/value – This study is one of the few examining the effect of PIIT in a post-adoption context and confirms its long-term psychological influence on continuance intention toward m-commerce. This study is also one of the initial to use discursive power perspective to study social influence on continuance intention in the mobile context.

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.

Can tasks and learning be balanced? A dual-pathway model of cloud-based e-learning continuance intention and performance outcomes

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Performance Outcomes ◽  
Learning System ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Continuance Intention ◽  
Content Type ◽  
E Learning ◽  
Perceived Impact ◽  
And Performance

Purpose The purpose of this paper is to examine the roles of task-technology fit (TTF), learning-technology fit (LTF) and cognitive absorption (CA) in determining medical professionals’ cloud-based electronic learning (e-learning) system continuance intention and performance outcomes and evaluate whether medical professionals’ perceived impact on learning can affect their perceived impact on tasks within medical institutions. Design/methodology/approach Sample data for this study were collected from medical professionals at six hospitals in Taiwan. A total of 600 questionnaires were distributed, and 373 (62.2%) usable questionnaires were analyzed using structural equation modeling in this study. Findings In this study, medical professionals’ perceived TTF and LTF as antecedents to their cloud-based e-learning continuance intention and performance outcomes were validated, and medical professionals’ perceived impact on learning had a positive effect on their perceived impact on tasks. Synthetically speaking, this study’s results strongly support the research model with all hypothesized links being significant. Originality/value It is particularly worth mentioning that this study introduces a new construct, “LTF,” to conceptualize, define and measure it, and further contributes to the application of capturing both expectation–confirmation model and CA (i.e. an intrinsic motivator) for completely explaining medical professionals’ perceived TTF and LTF as external variables to their cloud-based e-learning continuance intention and performance outcomes.

What drives cloud ERP continuance? An integrated view

2018 ◽  
Vol 31 (5) ◽  
pp. 724-750 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type ◽  
Output Quality

Purpose The purpose of this paper is to explore the key antecedents of organizational users’ continuance intention of cloud enterprise resource planning (ERP) by the integration of constructs from the expectation–confirmation model (ECM), technology acceptance model (TAM), theory of planned behavior (TPB), task-technology fit and TAM2. Design/methodology/approach Sample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 560 questionnaires were distributed in the 56 sample companies, and 395 (70.5 percent) usable questionnaires were analyzed using structural equation modeling in this study. Findings Findings show that while compatibility and output quality are key antecedents of confirmation of expectations toward cloud ERP, compatibility still reveals overwhelming and more indirect impacts on users’ continuance intention of cloud ERP than output quality because output quality has significant but evidently lesser effects on perceived usefulness and perceived ease of use than compatibility. Originality/value First, this study contributes to the identification of compatibility and output quality that may reveal deep insights to the task-related factors in understanding users’ cloud ERP continuance greatly driven by their confirmation of expectations toward cloud ERP. Next, the empirical evidence on capturing the ECM, TAM and TPB for completely explaining the antecedents of users’ continued cloud ERP usage intention is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.

scholarly journals Antecedents and outcomes of flow experience of MOOC users

2019 ◽  
Vol 13 (1) ◽  
pp. 1-19
Author(s):  
Shrikant Mulik ◽  
Manjari Srivastava ◽  
Nilay Yajnik ◽  
Vas Taras
Keyword(s):  
Structural Equation ◽  
Online Courses ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Flow Experience ◽  
Online Questionnaire ◽  
Content Type ◽  
Mediating Role ◽  
Relationship Of

Purpose This paper aims to develop and empirically test a model of relationships between antecedents and outcomes of flow experience of users of massive open online courses (MOOC). Design/methodology/approach The researchers surveyed individuals primarily from India, who had enrolled in at least one MOOC offered by MOOC providers such as Coursera, edX and FutureLearn. The data were collected from 310 individuals using an online questionnaire. The partial least squares technique of structural equation modeling (PLS-SEM) was used to test the reliability and validity of the data, and the study’s hypothesized relationships. Findings The study found support for identification of telepresence, challenge and skill as antecedents of flow experience. MOOC satisfaction and MOOC usage intention were found to be the outcomes of flow experience, as hypnotized. The study also found the mediating role of MOOC satisfaction in the relationship of flow experience and MOOC usage intention. Practical implications The findings indicate that if the MOOC providers can orchestrate flow experience for MOOC users then that will increase the satisfaction of MOOC users, which will lead to increase in MOOC adoption. Originality/value The study makes the contribution towards better understanding of flow experience in the context of MOOC usage by identifying both antecedents and outcomes of flow experience. Further, it highlights the influencing role of flow experience on MOOC adoption.

Why do customers intend to continue using internet-based sharing economy service platforms? Roles of network externality and service quality

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Service Providers ◽  
Sharing Economy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Network Externality ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

Purpose The purpose of this study is to integrate network externality and service quality as antecedents to the synthesis of expectation–confirmation model (ECM) and perceived ease of use (PEOU) in explaining customers’ continuance intention of internet-based sharing economy service platforms. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taipei, Taiwan. A total of 600 questionnaires were distributed in various campus locations, and 510 usable questionnaires were analyzed in this study, with a usable response rate of 85.0%. Collected data were analyzed using structural equation modeling. Findings The primary findings are as follows. First, service enablers’ online service quality positively affected customers’ perceived usefulness (PU), confirmation and PEOU of internet-based sharing economy service platforms, which directly or indirectly explained customers’ satisfaction and continuance intention of the platforms. Next, service providers’ offline service quality positively influenced customers’ PU of internet-based sharing economy service platforms, which in turn caused customers’ satisfaction and continuance intention of the platforms. Finally, network externality from customers’ side and service providers’ side all positively affected customers’ PU of internet-based sharing economy service platforms, which in turn led to customers’ continuance intention of the platforms. Originality/value First, this study contributes to the identification of network externality and service quality that may reveal deep insights to the understanding of customers’ continuance intention of internet-based sharing economy service platforms greatly driven by their confirmation of expectations and satisfaction with the platforms. Next, the empirical evidence on capturing ECM and PEOU for completely explaining the antecedents of customers’ continuance intention of internet-based sharing economy service platforms is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.

Understanding individuals' engagement and continuance intention of MOOCs: the effect of interactivity and the role of gender

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhen Shao ◽  
Kuanchin Chen
Keyword(s):  
Active Control ◽  
Structural Equation ◽  
Online Courses ◽  
Group Analysis ◽  
Equation Modeling ◽  
Behavioral Differences ◽  
Continuance Intention ◽  
Online Learners ◽  
Content Type ◽  
Learning Platform

PurposeThis study aims to examine how three perceived interactivity attributes of massive open online courses (MOOCs), namely, perceived active control, perceived synchronicity and perceived two-way communication, impact individuals' engagement and continuance intention of MOOCs through the stimulus-organism-response (S-O-R) lens and how that effect differs between male and female users.Design/methodology/approachDrawing upon S-O-R as an overarching theoretical framework, this study conducted an empirical study in China and collected 294 valid questionnaires from online learners. Structural equation modeling approach was used to examine the proposed research model.FindingsEmpirical results suggest that perceived active control, perceived synchronicity and perceived two-way communication are significant stimuli of individuals' continuance intention of MOOCs, and the influences of perceived active control and perceived synchronicity are partially or fully mediated by engagement on the platform. Multi-group analysis results further indicate that perceived synchronicity has a stronger influence on engagement on the platform for males, while perceived active control and perceived two-way communication are more salient in stimulating engagement on the platform for females.Practical implicationsResearch findings from the present study can serve as the foundation to guide MOOCs’ administrators to respond to the needs of participants through interactivity designed into the platform and shed light on possible key solutions of high dropout rates in MOOCs.Originality/valueThis study uncovers the mediating mechanism of affective engagement between interactivity and continuance intention in the emerging context of the latest online learning platform MOOCs and reveals the behavioral differences between females and males regarding their affective reactions to the three interactivity attributes.

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