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.

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.

Technology readiness, perceived ubiquity and M-commerce adoption

2017 ◽  
Vol 11 (3) ◽  
pp. 268-295 ◽  
Author(s):  
Subhadip Roy ◽  
Y.L.R. Moorthi
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Service Providers ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Content Type ◽  
Systems Research

Purpose The purpose of this study is to draw concepts from marketing and information systems research and integrate them in the context of M-commerce. The authors develop a conceptual model of technology readiness (TR) affecting perceived ubiquity (PQ) (of smartphones) and PQ affecting M-commerce adoption (MA) incorporating the moderating effect of privacy concerns (PC) on the relation between PQ and MA along with the constructs perceived usefulness (PU) and perceived ease of use (PEU). Methodology The conceptual model was formulated using a set of qualitative research procedures (four focus group discussions) and tested using two questionnaire-based surveys (with 372 and 431 respondents each) in India. Exploratory and confirmatory factor analyses were conducted followed by structural equation modeling for the quantitative data. Findings Results from the quantitative study indicate a significant effect of TR on PQ, PU and PEU. All three latter constructs had a significant effect on MA. A significant moderating effect of PC on the relation between PQ and MA was also observed. Research implications The study findings enhance the literature on the antecedents of successful adoption of M-commerce and establish the role of PQ as a significant influencer of MA. Practical implications The study findings would enable service providers with a new and relevant model of M-commerce adoption. Originality The major contribution of the study is the development and validation of a model that has attitudinal variables related to technology usage and their relations to M-commerce adoption.

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.

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.

The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country

2018 ◽  
Vol 36 (7) ◽  
pp. 1170-1189 ◽  
Author(s):  
Anup Kumar ◽  
Amit Adlakaha ◽  
Kampan Mukherjee
Keyword(s):  
User Satisfaction ◽  
Service Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Perceived Security ◽  
The Impact

Purpose Many developing countries, including India, are committed to curbing black money from the economy. Therefore, these countries are focusing on a transparent online transaction facility. M-wallets are one online option facilitated by various companies using a mobile application. The purpose of this paper is to investigate the impact of perceived usefulness, perceived security, perceived ease of use, trust, grievance redressal and satisfaction on young users’ intention to continually use M-wallet in India. Design/methodology/approach A research framework based on the expectation–confirmation theory has been formulated and tested empirically using data from M-wallets young users in India using structural equation modeling. Findings The analysis reveals that perceived usefulness and perceived ease of use significantly affect user satisfaction and intention to continually use M-wallets. The effect of perceived security on user satisfaction is significant, and grievance redressal mediates the effect of perceived security on intention to continually use M-wallets. Practical implications The outcome of the research will help M-wallet service providers and policy makers in planning the service and increasing customer’ continuance intention. Originality/value The uniqueness of this research is that it adds two important constructs for mobile payment systems (grievance redressal and perceived security) that were missing in the earlier model proposed by Zhou (2013). The addition of the two constructs helped in formulating a better model.

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

scholarly journals Prevention of cybercrimes in smart cities of India: from a citizen’s perspective

2019 ◽  
Vol 32 (5) ◽  
pp. 1153-1183 ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Arpan Kumar Kar ◽  
Yogesh K. Dwivedi ◽  
Hatice Kizgin
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Smart Cities ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Actual Usage ◽  
Factors Influencing ◽  
Technology Adoption Model

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.

Sign in / Sign up

Export Citation Format

Share Document