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.

Understanding mobile shopping consumers’ continuance intention

2017 ◽  
Vol 117 (1) ◽  
pp. 213-227 ◽  
Author(s):  
Dawei Shang ◽  
Weiwei Wu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Mobile Shopping ◽  
User Groups

Purpose The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals. Design/methodology/approach An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach. Findings The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers. Practical implications Marketers can improve users’ CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups. Originality/value This is one of the studies attempting to explain Chinese mobile shopping consumers’ CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.

How food retailing changed in Turkey: spread of self-service technologies

2018 ◽  
Vol 120 (2) ◽  
pp. 290-308 ◽  
Author(s):  
Ipek Kazancoglu ◽  
Emel Kursunluoglu Yarimoglu
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Situational Factors ◽  
Equation Modeling ◽  
Future Research ◽  
Perceived Ease Of Use ◽  
Content Type

Purpose The purpose of this paper is to predict customers’ intentions to use self-checkouts based on the technology acceptance model (TAM). Design/methodology/approach The questionnaire consisted of constructs taken from the existing literature such as perceived ease of use (PEU), perceived usefulness (PU), behavioral intentions, technology anxiety (TA), perceived risk (PR), need for interaction (NI), and situational factors (SF). Before preparing the questionnaire, the focus group studies were organized to gain deeper insights regarding customers’ views about self-checkouts. Based on the results of the focus groups, some items in the constructs were adapted, and the questionnaire was generated. The field study was conducted via face-to-face survey with 500 customers chosen by stratified random sampling. Confirmatory factor analysis and structural equation modeling were used to validate the relationships hypothesized in the conceptual model among constructs. Findings Out of the 16 hypotheses, 10 were found to be significant. The hypotheses related to the effects of PR, PEU, PU, intentions, while the effects of NI on PU and intentions; the effects of SF on intentions were not accepted in the study. According to the findings, PEU, PU, and TA affected intentions whereas PR, NI, and SF did not. Research limitations/implications There were some limitations related to demographics, attitudes, SF, and actual usage of self-checkouts. Practical implications To avoid queues, retailers should install a sufficient number of user-friendly and simple interfaced self-checkouts with well-trained employees to encourage usage and reduce the perceived risk and anxiety. Originality/value The main contribution of this study was that the effects of different constructs were measured on Turkish customers’ intentions to use self-checkouts, which could be used in formulating marketing strategies as well as considering future research directions. The paper also provided additional insights into the effects of SF, TA, NI, and PR, all of which were added to the TAM in this study.

User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust

2014 ◽  
Vol 5 (3) ◽  
pp. 258-274 ◽  
Author(s):  
Muslim Amin ◽  
Sajad Rezaei ◽  
Maryam Abolghasemi
Keyword(s):  
Technology Acceptance ◽  
User Satisfaction ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Users ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
The Impact

Purpose – The purpose of the study is to investigate the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust on mobile website satisfaction. Design/methodology/approach – A total of 302 valid questionnaires were collected to empirically test the research model. Structural equation modeling (SEM) was performed to evaluate the reliability and validity of the measurement model and structural models. Findings – The results show that there is a positive relationship between PEOU, PU and mobile users’ satisfaction. PU is positively related to trust and mobile users’ satisfaction. Moreover, trust positively influences mobile users’ satisfaction. Practical implications – Drawing on the technology acceptance model and trust theory, this study develops and empirically examines a model for consumers’ satisfaction to use mobile services. This study contributes new insights concerning the marketing literature by examining the impact of PU, PEOU and trust on mobile users’ satisfaction. Originality/value – The contribution of the study is significant for both mobile marketers and academicians in the era of the third-generation environment. This study is among the first few attempts to integrate the TAM with trust to determine mobile user satisfaction.

The effects of cognitive style on Edmodo users’ behaviour

2017 ◽  
Vol 34 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Ömer Faruk Ursavaş ◽  
Ilknur Reisoglu
Keyword(s):  
Technology Acceptance ◽  
Cognitive Style ◽  
Structural Equation ◽  
Cognitive Styles ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Embedded Figures Test

Purpose The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers’ Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles. Design/methodology/approach Structural equation modeling approach was used to analyze an extended TAM that represents the relationship between the eight constructs and cognitive style. Group Embedded Figures Test and technology acceptance measure were used as data collection tools. The study was conducted with 129 pre-service teachers. Findings The results indicate that perceived ease of use (PEU) influences behavioral intention (BI) to use Edmodo indirectly through attitude toward Edmodo use and perceived usefulness (PU). Technological complexity and facilitating conditions influence BI to use indirectly through PU and PEU, respectively. Thus, the extended TAM is a parsimonious model explaining 75, 72, and 82 percent of the endogenous variable (BI) for the whole sample, for the field dependent sample, and for the field independent sample, respectively. Originality/value This paper addresses to determine the BI of pre-service teachers regarding Edmodo, which is an innovative tool, based on cognitive styles.

scholarly journals Platform Adoption Factors in the Internet Industry

2018 ◽  
Vol 10 (9) ◽  
pp. 3185 ◽  
Author(s):  
Junic Kim
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Internet Industry ◽  
Acceptance Model

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.

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.

Visual Analytics Adoption in Business Enterprises

2019 ◽  
Vol 11 (1) ◽  
pp. 68-89 ◽  
Author(s):  
Mohammad Daradkeh
Keyword(s):  
Technology Acceptance ◽  
Visual Analytics ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Positive Effects ◽  
Intention To Adopt ◽  
Business Enterprises

Visual analytics is increasingly being recognized as a source of competitive advantage. Yet, limited research has examined the factors deriving it organizational adoption. By integrating the technology acceptance model (TAM) with the task-technology fit (TTF) model, this research developed a model for visual analytics adoption in business enterprises. To test the research model, data was collected through a questionnaire survey distributed to 400 business professionals working in a variety of industries in Jordan. Collected data were tested and analyzed using structural equation modeling (SEM) technique. Findings of this research confirmed the applicability of the integrated TAM/TTF model to explain the key factors that affect the adoption of visual analytics systems for work-related tasks. Specifically, the results of this research demonstrated that the task, technology, and user characteristics are fundamental and influential antecedents of TTF, which in turn has a significant positive effect on the perceived usefulness and perceived ease of use of visual analytics systems. Additionally, there are significant positive effects from perceived usefulness and perceived ease of use toward users' intention to adopt visual analytics systems, and a firm relationship between perceived ease of use and perceived usefulness of visual analytics systems. Together all these constructs explain 59.9% of the variance in user's intention to adopt visual analytics systems at the workplace. Findings of this research provide several important implications for research and practice, and thus should help in the design and development of more user-accepted visual analytics systems and applications.

The continuance usage intention of Alipay

2019 ◽  
Vol 32 (3) ◽  
pp. 211-229 ◽  
Author(s):  
Abul Khayer ◽  
Yukun Bao
Keyword(s):  
Structural Equation ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Map Analysis

Purpose The purpose of this paper is to examine the continuance intention of Alipay by proposing an integrated model. This paper highlights how the capacity of providing context-based information to the users plays significant role in determining the continuance intention of mobile payment like Alipay. Design/methodology/approach Data are collected from 336 Alipay users from Wuhan, P.R. China. To analyze the data, the authors apply structural equation modeling approach. Also, the authors perform importance-performance map analysis (IPMA) to identify the critical factors in explaining the continuance intention of Alipay. Findings The results of the study reveal that confirmation and perceived usefulness significantly influence the continuance intention of Alipay through satisfaction. Also, perceived usefulness, satisfaction, context and ubiquity have direct impact on the continuance intention of Alipay through attitude. According to IPMA, perceived ease of use, confirmation and context require special managerial consideration to improve their performance. Originality/value This research has proposed and validated an integrated model by incorporating context-awareness theory and technology continuance theory. This study provides significant insights that can assist respective decision-makers to formulate/adjust their strategies related to the retention of the existing users of mobile payment like Alipay.

Understanding the antecedents of omni-channel shopping by customers with reference to fashion category: the Indian millennials’ perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prashant Chaudhary ◽  
Archana Singh ◽  
Sarika Sharma
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Customer Engagement ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Fashion Products

Purpose The purpose of this study is to understand the antecedents of omni-channel shopping with reference to the intention to purchase fashion products by millennials and their perspective towards the omni-channel method of shopping. Design/methodology/approach The research is based on a quantitative research technique comprising of 302 respondents. A structured questionnaire has been adopted for the survey and to collect data from millennials from India. The questionnaire consisted of 27 constructs, which were measured using a five-point Likert’s scale. In the first step first-order confirmatory factor analysis is carried out, by using the software IBM AMOS-20. The initial model is generated for six constructs, and outcomes are used to analyse the model’s goodness of fit and construct validity. In the second step, the conceptual model is tested through path analysis using structural equation modelling. Findings The findings indicate that perceived usefulness (PU) significantly affects the continuance intention of usage towards omni-channels. Perceived ease of use does not significantly affect continuance intention of towards usage of omni-channels, and it does not seem to have a significant effect on PU. Cost effectiveness and customer engagement of omni-channel have a significant effect on the continuance intention of its use. Finally, continuance intention towards usage of omni-channel does significantly affects the actual use of omni-channel. Originality/value The research on omni-channel for purchasing fashion products is meagre and this particular study with the usage of Technology Acceptance Model including millennials is adding value towards the knowledge base of marketing. This research develops a theoretical framework building on the technology adoption model and empirically tested it.

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