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.

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.

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.

Determinants of continuance intention to use mobile self-scanning applications in retail

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andreia Ferreira ◽  
Graça Miranda Silva ◽  
Álvaro Lopes Dias
Keyword(s):  
Technology Acceptance ◽  
Direct Effect ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
Positive Direct

PurposeRetailers are increasingly using self-service technologies to improve customer experience and reduce costs. The purpose of this study is to identify factors that could explain the level of continuance intention of mobile self-scanning applications in retail. Based on previous theoretical streams, the present study integrates technology readiness (TR) and service quality into the technology acceptance model.Design/methodology/approachUsing data collected through an online survey of 217 users of a mobile self-scanning application of a large supermarket chain operating in Portugal, the study uses partial least squares structural equation modeling to test the proposed hypotheses.FindingsThe results indicate that the continuance usage of the self-scanning apps is directly driven by users' satisfaction and perceived usefulness. Findings also show that TR has a positive and significant impact on ease of use and perceived usefulness. Ease of use has a positive impact on users' satisfaction and perceived usefulness but has no direct effect on the continuance intention to use the application. Perceived quality has a positive direct effect on satisfaction and a positive indirect effect on continuance intention. Finally, need for interaction has a negative effect on TR.Originality/valueThis work contributes to a better understanding of the emerging market for mobile self-scanning applications in retail applications, particularly relevant in a digital transition context.

Adoption of mobile banking at the bottom of the pyramid: an emerging market perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Purohit ◽  
Rakhi Arora
Keyword(s):  
Technology Acceptance ◽  
Migrant Workers ◽  
Structural Equation ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Bottom Of The Pyramid ◽  
Mobile Banking ◽  
Content Type

PurposeThis paper aims to investigate the factors that affect mobile banking adoption among the bottom of the pyramid (BoP) group in an emerging market.Design/methodology/approachData were collected from 332 bank customers in the BoP group through a questionnaire based on previously validated scales. Structural equation modeling (SEM) was applied using SmartPLS 2.0 to analyze the data.FindingsIt was found that perceived usefulness (PU) and perceived ease of use (PEoU) influence the attitude toward mobile banking positively whereas the perceived risk (PR) and perceived deterrents (PDs) influence the attitude negatively. The subjective norms (SNs) and the attitude positively affect mobile banking adoption. Knowledge of mobile banking has a strong effect on the PEoU, but it does not influence the PU of mobile banking.Originality/valueThis research makes an original contribution to the extant research and fills the gap by exploring the factors that affect the mobile banking adoption among a distinct BoP group (migrant workers) in an emerging market. The authors make use of knowledge of mobile banking and PDs as novel and important constructs in the technology acceptance model (TAM) to explore the factors that affect mobile banking adoption among the BoP.

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

2020 ◽  
Vol 11 (3) ◽  
pp. 543-558
Author(s):  
Joanna Kowalczyk-Anioł ◽  
Marek Nowacki
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Related Activity ◽  
Content Type

Purpose This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity. Design/methodology/approach The study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling. Findings Out of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y. Research limitations/implications This study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution. Practical implications The presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM. Originality/value This is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.

Self-efficacy as an antecedent of cognition and affect in technology acceptance

2014 ◽  
Vol 31 (3) ◽  
pp. 190-199 ◽  
Author(s):  
Songpol Kulviwat ◽  
Gordon C. Bruner II ◽  
James P. Neelankavil
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Structural Equation ◽  
Emotional Reactions ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
External Variable ◽  
Content Type ◽  
Cognition And Affect

Purpose – This paper aims to examine whether self-efficacy plays an important role in shaping the effect of cognition and affects in high technology adoption. It also examines whether cognition and affect mediate the effect of self-efficacy on attitude toward adoption. Design/methodology/approach – Using an experimental survey to collect data, subjects performed two different tasks (utilitarian and hedonic) to make sure that they had cognitive and affective experiences to draw upon as they developed attitudes toward the focal innovation. Structural equation modeling was used to analyze the model. Findings – The result shows that self-efficacy influenced cognitive perceptions and emotional reactions. Specifically, self-efficacy was found to play a substantive role in shaping individuals’ attitudes via a cognitive route (perceived usefulness and ease-of-use) and an affective one (pleasure, arousal and dominance). Research limitations/implications – The study of self-efficacy as an external variable provides further insights into the process and is expected to increase the explained variance of the theoretical model. Practical implications – This study confirms that a belief about something besides the product also plays a key role; it is the confidence consumers have in their own abilities to understand and effectively use a new piece of technology. Originality/value – The research makes important contributions to our understanding of technology acceptance and has implications for marketing managers.

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.

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.

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.

The perceptions of SME retailers towards the usage of social media marketing amid COVID-19 crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Talha Salam ◽  
Hamza Imtiaz ◽  
Muhammad Burhan
Keyword(s):  
Social Media ◽  
Qualitative Study ◽  
Technology Acceptance ◽  
Quantitative Study ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Social Media Marketing ◽  
Equation Modeling ◽  
Content Type

Purpose During the COVID-19 crisis, diversified attitudes and behaviors of structural equation modeling (SME) retailers were observed in using social media marketing that could have helped mitigate the adverse effects of this crisis on businesses. This paper aims to present a thorough investigation of these perceptions and limited acceptance of social media marketing among SME retailers in a developing country during a crisis. Design/methodology/approach The investigation was designed using a mixed-method design. A qualitative investigation, as the first part, explored SME retailers’ perceptions of the use of social media marketing when they were faced with mandatory lockdown that stifled their business activity. The insights from qualitative study and literature helped devise the second part of the study, a quantitative study using the technology acceptance model (TAM). Analysis of responses from a sample of SME retailers (n = 149) was done using SEM in this study. Findings In the qualitative study, SME retailers were found to have a varying outlook toward social media marketing. Some ventured into social media marketing while others were impeded by their limited understanding. The second (quantitative) study showed the general applicability of TAM such that perceived ease of use through perceived usefulness influenced SME retailers’ attitudes toward the usage of social media marketing during the COVID-19 crisis. An important finding in both studies was that business owners’ education level influenced their perceptions of social media marketing. Research limitations/implications The investigation, albeit a comprehensive one, was conducted in a particular market and for SME retailers. This opens avenues for conducting similar studies in other segments of entrepreneurs to generate insights based on comparative analysis across segments and scenarios. Originality/value Limited or no marketing in the physical marketplace amid lockdown meant almost an existential crisis for entrepreneurs, especially SME retailers, in developing countries during the COVID-19 crisis. While technology acceptance by SME retailers has been discussed in the literature, there are limited discourses on technology acceptance among entrepreneurs and SME retailers during a crisis. These findings from the COVID-19 crisis explicate the possibilities and limitations of technology usage as a means to mitigate challenges faced by entrepreneurs during a crisis.

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