User acceptance of mobile commerce: an empirical study in Macau

This study aims to examine the positive and negative factors that can significantly explain user acceptance of mobile commerce (m-commerce) in Macau. A technology acceptance model for m-commerce with five factors is constructed. The proposed model is tested using data collected from 219 respondents. Confirmatory factor analysis is performed to examine the reliability and validity of the model, and structural equation modelling is performed to access the relationship between behaviour intention and each factor. The acceptance of m-commerce is influenced by factors including performance expectancy, social influence, facilitating conditions and privacy concern; while effort expectancy is insignificant in this case. The results of the study are useful for m-commerce service providers to adjust their strategies for promoting m-commerce services. This study contributes to the practice by providing a user technology acceptance model for m-commerce that can be used as a foundation for future research.     

Factors affecting the acceptance of information systems supporting emergency operations centres

Despite the recognition that information system acceptance is an important antecedent of effective emergency management, there has been comparatively very little research examining this aspect of technology acceptance. The current research responded to this gap in literature by adapting and integrating existing models of technology acceptance. This was done in order to examine how a range of technology acceptance factors could affect the acceptance of emergency operations centre information systems. Relationships between several of these factors were also examined. Questionnaire data from 383 end-users of four different emergency operations centre information systems were analysed using structural equation modelling. This analysis concluded that technology acceptance factors of performance expectancy, effort expectancy, social influence and information quality explained 65 percent of variance in symbolic adoption, which is a combination of mental acceptance and psychological attachment towards an information system. A number of moderating effects of age, gender, experience of use and domain experience were also identified. A mediating component, of performance expectancy, explained 49 percent of variance between facilitating conditions, information quality, effort expectancy, and resulting symbolic adoption. These findings highlight a need to re-focus technology acceptance research on both mediating and moderating effects and the importance of considering domain specific factors. Applied recommendations are also made, for successfully implementing relevant information systems.     

Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry

This study aims to provide an integrated model that examines the determinants of near-field communication (NFC) based mobile payment (MP) technology acceptance in the restaurant industry. The proposed model, which combines the unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM), was tested via structural equation modeling (SEM) by using data collected from 412 restaurant customers. The study results indicated that the proposed model provides approximately 20% greater explanatory power and predictive accuracy than the original UTAUT model and demonstrates strong evidence of the effects of risk, security, and trust on customers' intentions to use NFC-based MP technology in restaurant settings. In addition, considering the total effect, attitude, security, and risk have the most substantial impact on customers’ behavioral intentions. The study results further demonstrate that risk, security, and trust are also important determinants, with direct and indirect impacts, of other critical constructs (i.e., effort expectancy, hedonic and utilitarian performance expectancy, attitude, and intention). The empirical findings provide valuable theoretical contributions for researchers and practical implications for restaurant operators and technology vendors by explaining the reasons as to why the NFC-based MP is not popular in North American restaurants.     

Towards an understanding of the consumer acceptance of mobile wallet

This study seeks to validate a comprehensive model of consumer acceptance in the context of mobile payment. It uses the unified theory of acceptance and use of technology (UTAUT) model with constructs of security, trust, social influence, and self-efficacy. Structural equation modeling is used to construct a predictive model of attitudes toward the mobile wallet. Individuals’ responses to questions about attitude and intention to adopt/use a mobile wallet were collected and analyzed with various factors modified from UTAUT. While the model confirms the classical role of technology acceptance factors (i.e., perceived usefulness and ease of use are key antecedents to users’ attitude), the results also show that users’ attitudes and intentions are influenced by perceived security and trust. In the extended model, the moderating effects of demographics on the relations among the variables were found to be significant. The proposed model brings together extant research on mobile payment and provides an important cluster of antecedents to eventual technology acceptance via constructs of behavioral intention to use and actual system usage.     

The effects of education compatibility and technological expectancy on e-learning acceptance

Discerning what influences a student’s acceptance of e-learning is still unclear and has not been well investigated. On the basis of the expectancy-value theory, much effort has been put into identifying the effectual factors regarding the technological expectancy of students. However, aside from technological usage, the adoption of an e-learning system still must consider learning behavior. Thus, researchers should take into consideration both technological and learning expectancies of students while investigating e-learning acceptance. Following mainstream literature on information system acceptance, this study postulates that a student’s behavioral intention to accept an e-learning system is determined both by his or her technological expectancy and educational compatibility. Four primary factors, that is, performance expectancy, effort expectancy, social influence, and facilitating conditions, specified in the Unified Theory of Acceptance and Use of Technology (UTAUT) are used to reflect the technological expectancy of students. Further, educational compatibility, which refers the congruence of e-learning systems with the unique leaning expectancies of students, is integrated with the UTAUT to form a new theoretical model for e-learning acceptance. An empirical survey is conducted to examine the proposed model. A total of 626 valid samples were collected from the users of an e-learning system. The findings show that both technological expectancy and educational compatibility are important determinants of e-learning acceptance. However, educational compatibility reveals a greater total effect on e-learning acceptance than does technological expectancy. Implications and practical guidelines for both e-learning developers and practitioners are subsequently presented.     

Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology

Mobile payment is receiving growing attention globally, from consumers to merchants, as an alternative to using cash, check, or credit cards. The potential of this technology is enormous. This study aims to identify the main determinants of mobile payment adoption and the intention to recommend this technology. We advance the body of knowledge on this subject by proposing an innovative research model that combines the strengths of two well-known theories; the extended unified theory of acceptance and use of technology (UTAUT2) with the innovation characteristics of the diffusion of innovations (DOI), with perceived security and intention to recommend the technology constructs. The research model was empirically tested using 301 responses from an online survey conducted in a European country, Portugal. Data was analyzed using the structured equation modeling (SEM). We found compatibility, perceived technology security, performance expectations, innovativeness, and social influence to have significant direct and indirect effects over the adoption of mobile payment and the intention to recommend this technology. The relevance of customer's intention to recommend mobile payment technology in social networks and other means of communication was also confirmed, supporting the recommendation to include it in social marketing campaigns and in future technology adoption studies. For researchers this study provides a basis for further refinement of individual models of acceptance. For practitioners, understanding the key constructs is crucial to design, refine, and implement mobile payment services, applications, and products that achieve high consumer acceptance, value, and high rates of positive recommendations in social networks.     

Understanding consumer acceptance of mobile payment services: An empirical analysis

Mobile technology has become increasingly common in today’s everyday life. However, mobile payment is surprisingly not among the frequently used mobile services, although technologically advanced solutions exist. Apparently, there is still a lack of acceptance of mobile payment services among consumers. The conceptual model developed and tested in this research thus focuses on factors determining consumers’ acceptance of mobile payment services. The empirical results show particularly strong support for the effects of compatibility, individual mobility, and subjective norm. Our study offers several implications for managers in regards to marketing mobile payment solutions to increase consumers’ intention to use these services.     

Can mobile TV be a new revolution in the television industry?

The development within the mobile communications industry has provided a new mechanism for individuals to watch television programs via mobile device, known as mobile television (m-TV). Considering that m-TV is an emerging technology among traditional television services where critical success factors depend on user-centered, it is important to understand users' behavioral intention (BI). Unlike previous studies which have mainly focused on flow experience, perceived value, motivation and social cognitive theories, this study examines user-centered factors of technology readiness (TR) and technical support and training (TST). Therefore, 244 valid data were tested using partial least squares structural equation modeling (PLS-SEM) to measure both reflective and formative constructs based on the proposed framework. Findings reported that performance expectancy (PE), effort expectancy (EE) and TST have a positive and significant impact on BI. TR however has a negative relationship with BI. In addition, TR was also found to influence PE and EE. Similarly, TST has a direct effect factor on EE and EE was a significant determinant of PE. The findings of this study not only provide guidance for future researchers, but also valuable insights for designers, marketers and system providers of m-TV to tailor their services in the near future.     

Understanding Chinese users’ continuance intention toward online social networks: an integrative theoretical model

This study explores users’ continuance intention in online social networks by synthesizing Bhattacherjee’s IS continuance theory with flow theory, social capital theory, and the unified theory of acceptance and use of technology (UTAUT) to consider the special hedonic, social and utilitarian factors in the online social network environment. The integrated model was empirically tested with 320 online social network users in China. The results indicated that continuance intention was explained substantially by all hypothesized antecedents including perceived enjoyment, perceived usefulness, usage satisfaction, effort expectancy, social influence, tie strength, shared norms and trust. Based on the research findings, we offer discussions of both theoretical and practical implications.     

Factors influencing the acceptance of healthcare information technologies: A meta-analysis

Healthcare information technologies (HIT) can address several challenges faced by healthcare systems. To benefit from the advantages HIT offer, users must first accept them. This meta-analysis synthesizes previous research on HIT acceptance. It uses data from 214 independent samples reported in 193 articles and 83,619 technology users from 33 countries. The study contributes to the HIT literature by (1) synthesizing the empirical findings on technology acceptance factors and combining them in a comprehensive model, (2) testing the mediating mechanisms of health technology acceptance, and (3) examining contextual differences. The study finds that HIT acceptance depends on various predictors proposed by the technology acceptance model and the unified theory of acceptance and use of technology. These factors displayed strong indirect effects through effort expectancy, perceptions of the technology, performance expectancy, and attitudes toward using HIT. Studies overlooking these effects may underestimate the importance of various acceptance factors. Finally, the results suggest that technology acceptance varies across healthcare technologies (remote information systems [IS], wearables), users (staff/patients, age, voluntariness, experience), and locations (hospitals, healthcare systems, life expectancy in country). We also provide IS managers with guidance for improving technology acceptance in the healthcare industry to ensure efficient, high-quality services.     

The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology

Purpose of this research is to explain the factors affecting high school teachers' acceptance and use of interactive whiteboard within the scope of FATIH project according to the Unified theory of acceptance and use of technology (UTAUT, Venkatesh et al., 2003). The study was designed using causal research design in order to examine the cause-effect relationship between the variables. Sample of the study consists of 158 teachers, determined via criteria sampling, who have participated in the study voluntarily. Data has been collected using a 7 points Likert scale, developed for this study, which covers UTAUS's factors and variables featuring interactive whiteboard acceptance and use of the teachers. The collected data has been analyzed with simple and multiple linear regressions and structural equation model. The findings have shown that performance expectancy, effort expectancy and social influence had positive effects on behavioral intention; behavioral intention and facilitating conditions had positive effects on the usage time of interactive whiteboard.     

Exploring factors affecting Chinese consumers' usage of short message service for personal communication

Abstract. Short message service (SMS) is very popular in China. While many reports indicate that the SMS market has great potential, little is known about why people adopt SMS. This study uses the technology acceptance model and network externalities to examine the factors influencing the adoption of SMS for personal communication in China. Using data collected from 262 mobile phone users, we find that perceived usefulness, perceived enjoyment and perceived service cost affect SMS use. Perceived network externalities also contribute to higher perceived usefulness and perceived ease of use and affect SMS adoption. The results provide insight to SMS marketing strategies.     

基于UTAUT模型的手机视频APP用户使用意愿影响因素研究

基于技术接受与使用整合模型理论,结合最新的研究成果,构建手机视频APP用户使用意愿影响因素研究模型,不考虑个人属性特点即控制变量的影响,将绩效期望、努力期望、社会影响、信息化需求、娱乐性需求和个性化需求作为核心变量,从而提出初始理论模型与假设。然后,通过问卷调查搜集数据,利用结构化方程建模方法进行模型验证与修正。实证结果表明,绩效期望、社会影响、信息化需求、娱乐性需求与个性化需求对手机视频APP使用意愿有正向影响。     

Influential Characteristics of Enterprise Information System User Interfaces

ABSTRACT

End-user acceptance is considered as a significant factor influencing the success of enterprise information system (EIS) implementations and operations. This study conceptualizes three aspects of EIS user interfaces (UIs), namely information overload, control familiarity, and UI fit, and proposes a model to understand their effect on two major factors that are considered to influence the end-user acceptance of these systems: EIS end user’s performance expectancy and effort expectancy. We developed a theoretical model and multiitem scales for the proposed EIS UI characteristics and tested the model empirically with data from a survey performed with a sample 98 EIS end users. The results from our test provide evidence for the key role that EIS UI design plays in the end user’s performance and effort expectancy.     

Correlates of using the billing system of a mobile network operator to pay for digital goods and services

In many countries mobile network operators (MNOs) offer their customers the possibility to pay for digitized content, applications or services which they buy over their mobile smartphone via the carriers’ billing systems. To date, customer take-up of this mobile carrier billing (MCB) payment option is predominantly modest. At the same time, there is little empirical evidence on individual level factors significantly associated with the acceptance of MCB payment which differentiates firstly the principal adoption of the service in the sense of a yes-or-no decision and secondly the intensity of service usage among adopters. Therefore, the present study explores correlates between a total of 10 socio-demographic, contract-, communication habits- and smartphone-related variables on the one hand and the two MCB payment acceptance criteria on the other in a sample of 5010 postpaid residential customers of the German subsidiary of a multinational MNO. In contrast to many prior investigations, MCB payment adoption and usage intensity measures in the present work reflect real (and not retrospective subjective estimates of or intended) payment behaviors. A Probit regression analysis indicates that, compared to non-adopters, customers who have paid via MCB are male, have a shorter MNO tenure, have higher mobile service spending, generate more mobile Internet traffic, send more SMS and use a smartphone whose OS manufacturer offers MCB payment on its own online market place. In the subsample of adopters of MCB payments higher mean monthly MCB settlement amounts are generated by male and older subscribers who have a shorter MNO tenure, create more mobile Internet traffic, use mobile voice telephony more and SMS less heavily and who are equipped with a smartphone whose OS manufacturer does not offer MCB payment on its online market place. Findings are discussed in terms of their implications for scholarly research on antecedents of the acceptance of novel telecommunication-based service offerings such as MCB payments and of basic levers of MNOs for improving the customer take-up of their MCB payment offerings and the usage intensity of the service among its adopters.     

Integrating context-awareness and UTAUT to explain Alipay user adoption

Due to its advantages, Alipay has become one of the largest third-party payment platforms in China. However, Alipay is also confronted with dual challenges from inherent technology to external competition. In fact, Alipay user adoption is determined not only by perception of the technology but also by the context-awareness. In other words, even though a technology may be perceived as being advanced, if it cannot use the context to provide relevant information or services, they may not adopt it. By integrating the context-awareness and the unified theory of acceptance and usage of technology (UTAUT), this paper proposes a model of Alipay user adoption. We found that the relationship between the context and Alipay user adoption is mediated by performance expectancy and effort expectancy. While the relationship between the ubiquity and Alipay user adoption is only mediated by the performance expectancy.     

Integrating TTF and UTAUT to explain mobile banking user adoption

Due to its advantages such as ubiquity and immediacy, mobile banking has attracted traditional banks’ interests. However, a survey report showed that user adoption of mobile banking was much lower than that of other mobile services. The extant research focuses on explaining user adoption from technology perceptions such as perceived usefulness, perceived ease of use, interactivity, and relative advantage. However, users’ adoption is determined not only by their perception of the technology but also by the task technology fit. In other words, even though a technology may be perceived as being advanced, if it does not fit users’ task requirements, they may not adopt it. By integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT), this research proposes a mobile banking user adoption model. We found that performance expectancy, task technology fit, social influence, and facilitating conditions have significant effects on user adoption. In addition, we also found a significant effect of task technology fit on performance expectancy.     

Past, present and future of mobile payments research: A literature review

The mobile payment services markets are currently under transition with a history of numerous tried and failed solutions, and a future of promising but yet uncertain possibilities with potential new technology innovations. At this point of the development, we take a look at the current state of the mobile payment services market from a literature review perspective. We review prior literature on mobile payments, analyze the various factors that impact mobile payment services markets, and suggest directions for future research in this still emerging field. To facilitate the analysis of literature, we propose a framework of four contingency and five competitive force factors, and organize the mobile payment research under the proposed framework. Consumer perspective of mobile payments as well as technical security and trust are best covered by contemporary research. The impacts of social and cultural factors on mobile payments, as well as comparisons between mobile and traditional payment services are entirely uninvestigated issues. Most of the factors outlined by the framework have been addressed by exploratory and early phase studies.     

Charismatic leadership and user acceptance of information technology

Although there is widespread agreement that leadership has important effects on information technology (IT) acceptance and use, relatively little empirical research to date has explored this phenomenon in detail. This paper integrates the unified theory of acceptance and use of technology (UTAUT) with charismatic leadership theory, and examines the role of project champions influencing user adoption. PLS analysis of survey data collected from 209 employees in seven organizations that had engaged in a large-scale IT implementation revealed that project champion charisma was positively associated with increased performance expectancy, effort expectancy, social influence and facilitating condition perceptions of users. Theoretical and managerial implications are discussed, and suggestions for future research in this area are provided.     

Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook)

This research examines the relationship between the predictors of use and the different conceptualizations of system use in a hedonic volitional setting (Facebook). Using the unified theory of acceptance and use of technology (UTAUT) model, an investigation into the three aspects of system use: the user, system and task were carried out. Results from a cross-sectional survey of 449 students show that behavioral intention has a significant influence on all aspects and dimensions of system use including cognitive absorption and deep structure use. Performance expectancy, effort expectancy and social influence are significantly related to system use. From the component model, performance expectancy is only significant with deep structure use. Hedonic performance expectancy is found to be significantly related to cognitive absorption. Results also demonstrate that predictors of usage have a significant relationship with the user aspect of system use. The variance explained in usage conceptualized as the user/task aspects is much higher than that of the system/task aspects or one-dimensional measures. Overall, conceptualizing system use using the user/task aspects offers greater explanatory power in Facebook use.