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.     

Critical factors of WAP services adoption: an empirical study

Mobile commerce is becoming increasingly important in business. Wireless application protocol (WAP) is one of the most widespread technical standards for mobile commerce. Following continuous technical evolution, WAP has now included various new features. However, WAP services continue to struggle for market share. Hence, understanding the adoption of WAP services is increasingly important for enterprises interested in developing mobile commerce. This study aims to: (i) identify the critical factors of WAP services adoption; (ii) explore the relative importance of each factor between WAP adopters and non-adopters; and (iii) examine the causal relationships among variables on WAP services adoption behavior. This study reports empirical test of the adoption of WAP services in Taiwan, based on the theory of planned behavior and innovation diffusion theory. The results indicate that the critical factors influencing the adoption of WAP services include connection speed, service costs, user satisfaction, personal innovativeness, ease of use, peer influence, and facilitating conditions. Some suggestions for subsequent researchers and practitioners seeking to understand WAP services adoption behavior are also provided.     

Electronic commerce adoption: an empirical study of small and medium US businesses

By combining two independent research streams, we examined the determinant factors of strategic value and adoption of electronic commerce as perceived by top managers in small and medium sized enterprises (SME) in the midwest region of the US. We proposed a research model that suggested three factors that have been found to be influential in previous research in the perception of strategic value of other information technologies: operational support, managerial productivity, and strategic decision aids. Inspired by the technology acceptance model and other relevant research in the area, we also identified four factors that influence electronic commerce adoption: organizational readiness, external pressure, perceived ease of use, and perceived usefulness. We hypothesized a causal link between the perceived strategic value of electronic commerce and electronic commerce adoption. To validate the research model, we collected data from top managers/owners of SME by using an Internet survey.     

Electronic commerce adoption: an empirical study of small and medium US businesses

By combining two independent research streams, we examined the determinant factors of strategic value and adoption of electronic commerce as perceived by top managers in small and medium sized enterprises (SME) in the midwest region of the US. We proposed a research model that suggested three factors that have been found to be influential in previous research in the perception of strategic value of other information technologies: operational support, managerial productivity, and strategic decision aids. Inspired by the technology acceptance model and other relevant research in the area, we also identified four factors that influence electronic commerce adoption: organizational readiness, external pressure, perceived ease of use, and perceived usefulness. We hypothesized a causal link between the perceived strategic value of electronic commerce and electronic commerce adoption. To validate the research model, we collected data from top managers/owners of SME by using an Internet survey.     

Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China

Unlike traditional technologies, the use of mobile technology is exposed to shifting use contexts. Use context has frequently been described as an important factor influencing the adoption of mobile innovations. However, empirical evidence about the impact of use context is limited. This paper investigated the effect of use context on the formation of users’ perceptions of mobile hedonic services by using mobile gaming as an example. Through the employment of structural equation modelling technology, an adoption model of mobile gaming is proposed and assessed based on results from 267 questionnaires. The results show that use context is the strongest predictor of mobile game adoption. It directly or indirectly affects all different perceptions of mobile gaming in significant ways, including perceived ease of use, perceived usefulness, perceived enjoyment, cognitive concentration, attitude and behavioral intention. Additionally, perceived usefulness, perceived enjoyment and cognitive concentration all have a positive influence on the attitudinal variables of mobile game acceptance. We concluded that the formation of people’s perceptions about mobile gaming is conditional and based on the special consideration of certain use contexts. Both theoretical and practical implications are discussed.     

Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation

User adoption of mobile payment (m-payment) is low compared to the adoption of traditional forms of payments. Lack of user trust has been identified as the most significant long-term barrier for the success of mobile finances systems. Motivated by this fact, we proposed and tested an initial trust theoretical model for user adoption of m-payment systems. The model not only theorizes the role of initial trust in m-payment adoption, but also identifies the facilitators and inhibitors for a user’s initial trust formation in m-payment systems. The model is empirically validated via a sample of 851 potential m-payment adopters in Australia. Partial least squares structural equation modelling is used to assess the relationships of the research model. The results indicate that perceived information quality, perceived system quality, and perceived service quality as the initial trust facilitators are positively related to initial trust formation, while perceived uncertainty as the initial trust inhibitor exerts a significant negative effect on initial trust. Perceived asset specificity is found to have insignificant effect. In addition, the results show that initial trust positively affects perceived benefit and perceived convenience, and these three factors together predict usage intention. Perceived convenience of m-payment is also found to have a positive effect on perceived benefit. The findings of this study provide several important implications for m-payment adoption research and practice.     

Factors influencing adoption of e-payment systems: an empirical study on Iranian customers

Information Systems and e-Business Management - Internet technology has influenced the banking systems because of its capability to enhance performance of financial operations. A major concern of...     

Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study

Enterprise 2.0 is identified as one of the most promising technological innovations in the business domain, with immense potential for enriching communication, enabling collaboration and facilitating learning. Although organisations are increasingly implementing Enterprise 2.0 as a useful means of knowledge sharing and collaboration, no empirical research has been performed to identify individuals’ motivations to participate in Enterprise 2.0 activities. The high practical relevance and dearth of research indicate the importance of the present study. This study aims to apply the Unified Theory of Acceptance and Use of Technology to propose a research model that incorporates context-specific variables as enhancing constructs to predict individuals’ adoption intentions towards Enterprise 2.0 applications. We also categorise Enterprise 2.0 users into silent and social users and conduct a comparative analysis to examine whether differences exist in factors predicting users’ adoption intentions towards Enterprise 2.0 applications. To test the model, structural equation modelling is employed to analyse data collected from respondents working in seven Chinese companies conducting trial operations of an Enterprise 2.0 platform. The findings of this research provide managers with effective methods to promote individuals’ participation in Enterprise 2.0 activities. This research also provides a theoretical foundation for academics and practical implications for the development of Enterprise 2.0.     

Cloud computing adoption: an empirical study of customer preferences among start-up companies

Cloud computing represents a paradigm shift to utmost scalable and flexible IT services. However, research related to preferences of certain customers concerning cloud services is scarce. Especially start-up companies with their limited capacities to implement and operate IT infrastructure and their great demand for scalable and affordable IT resources are predestined as customers of cloud based services. In this study, we apply a multi-method approach to investigate customer preferences among start-up companies. Based on a literature review and a market analysis of cloud service models, we propose a set of cloud provider characteristics. These properties were examined among 108 start-up companies and analyzed in three steps using factor analysis to define customer preferences, cluster analysis to identify customer segments and discriminant analysis to validate the identified clusters. The results show that start-ups can be basically divided in five clusters each with certain requirements on cloud provider characteristics.     

User story clustering in agile development: a framework and an empirical study

Agile development aims at rapidly developing software while embracing the continuous evolution of user requirements along the whole development process. User stories are the primary means of requirements collection and elicitation in the agile development. A project can involve a large amount of user stories, which should be clustered into different groups based on their functionality’s similarity for systematic requirements analysis, effective mapping to developed features, and efficient maintenance. Nevertheless, the current user story clustering is mainly conducted in a manual manner, which is time-consuming and subjective to human bias. In this paper, we propose a novel approach for clustering the user stories automatically on the basis of natural language processing. Specifically, the sentence patterns of each component in a user story are first analysed and determined such that the critical structure in the representative tasks can be automatically extracted based on the user story meta-model. The similarity of user stories is calculated, which can be used to generate the connected graph as the basis of automatic user story clustering. We evaluate the approach based on thirteen datasets, compared against ten baseline techniques. Experimental results show that our clustering approach has higher accuracy, recall rate and F1-score than these baselines. It is demonstrated that the proposed approach can significantly improve the efficacy of user story clustering and thus enhance the overall performance of agile development. The study also highlights promising research directions for more accurate requirements elicitation.     

Perceived usefulness,user involvement and behavioral intention: an empirical study of ERP implementation

Many firms have implemented enterprise resource planning (ERP) systems in the past few years. The expensive nature of these systems requires that effective usage of these systems be attained in order for an organization to derive the expected benefits from the technology. This study looks at the influence that perceived usefulness, user involvement, argument for change, prior usage and ease of use have on the behavioral intention to use an ERP system. A mail survey was used to collect data in an organization that was implementing an ERP system. A total of 571 responses were obtained. The results indicate that users perception of the perceived usefulness, ease of use of the technology, and the users’ level of intrinsic involvement all affect their intention to use the technology. The results seem to suggest that managerial efforts aimed at increasing the users’ perceptions of the usefulness and personal relevance of the technology will contribute to implementation success, where success is defined as effectual usage of the technology. The paper ends with possible extensions to this study.     

An empirical investigation of mobile ticketing service adoption in public transportation

In this paper, we present results from a study of mobile ticketing service adoption in public transportation. The theoretical background of the study is based on technology adoption and trust theories, which are augmented with concepts of mobile use context and mobility. Our empirical findings from analyses of a survey data suggest that compatibility of the mobile ticketing service with consumer behavior is a major determinant of adoption. Mobility and contextual factors, including budget constraints, availability of other alternatives, and time pressure in the service use situation were also found to have a strong effect on the adoption decision. Our findings suggest that contextual and mobile service-specific features are important determinants of mobile service adoption and should thus be integrated into the traditional adoption models.     

A study on e-learning take-up intention from an innovation adoption perspective: A case in China

This research aims to examine, from an innovation adoption perspective, Chinese students’ intention of taking up e-learning degrees. A survey of Chinese students was conducted to reveal their perceptions concerning innovation attributes relevant to e-learning and their intentions of taking e-learning programmes provided by UK universities. Given the rapid development in e-learning and its potential impact on how learning takes place, this research argues that e-learning take-up represents adoption of an innovation in educational services, rather than just an IT technology. It therefore examined e-learning adoption using Rogers’s relational model of perceived innovation attributes. Rogers’s model was adapted to the e-learning context. A questionnaire survey was developed to collect data from a sample of Chinese students (n = 215). Prior to final analysis the dimensionality and validity of the implementation of Rogers relational model was assessed. Findings suggested that only perceived compatibility and trialability have significant influence on e-learning adoption intention.     

Factors driving the adoption of m-learning: An empirical study

Even if m-learning is spreading rapidly in many regions of the world, research addressing the driving factors of m-learning adoption is in short supply. Built on the Technology Acceptance Model, this paper proposes a hypothesized model of m-learning adoption. Employing structural equation modeling technology, the model was assessed based on the data collected from 230 participants using a survey questionnaire. Results indicate that perceived near-term/long-term usefulness and personal innovativeness have significant influence on m-learning adoption intention, while perceived long-term usefulness significantly affects the perceived near-term usefulness. Personal innovativeness is a predictor of both the perceived ease of use and perceived long-term usefulness as well. Of all variables, the perceived long-term usefulness contributes to the most influential predictor of m-learning adoption. The model accounts for approximately 60.8% of the variance of behavioural intention. The results indicted that offing high-quality contents complying with students’ future targets is key to the success of m-learning in China. Both theoretical and practical implications are discussed.     

An empirical examination of factors influencing the intention to use mobile payment

With recent advances in mobile technologies, mobile commerce is having an increasingly profound impact on our daily lives, and beginning to offer interesting and advantageous new services. In particular, the mobile payment (m-payment) system has emerged, enabling users to pay for goods and services using their mobile devices (especially mobile phones) wherever they go. Mobile payment is anticipated to enjoy a bright future.     

潜在网络购物者与有经验者购买意愿比较研究*

感知风险和信任缺失被认为是阻碍网络购物发展的主要因素。以技术接受模型为理论基础,将感知风险和信任引入模型,把消费者分为潜在网络购物者和有经验网络购物者两大类,采用结构方程模型方法对影响我国消费者网络购物意愿的因素进行实证对比研究。实证结果表明：消费者感知网络购物有用性对其购买意愿的影响路径系数高于信任和风险因子对购买意愿的路径系数;感知风险对网络购买意愿有直接的负向影响;对于潜在消费者群体,信任显著影响其网络购物意愿,但对有购物经验的消费者群体信任却对网络购买意愿没有显著影响。     

Online stickiness: its antecedents and effect on purchasing intention

Website stickiness, the website's ability to retain online customers and prolong his/her duration of each stay, is one of the key factors to e-commerce success. However, how to make customers stick around is still unclear to online retailers. This paper examines the antecedents as well as effect of customer's intention to stick on a website. A model is developed and tested using a survey of 434 web users. The results confirm that the web user's willingness to stick to a website is a strong predictor of his/her intention to transact. Web managers thus need to put emphasis on the creation of the website stickiness. The results of this study also suggest that the formation of the stickiness is affected by web user attitude towards a website, trust in a website and the quality of website content. Implications of these findings are discussed for researchers and practitioners.     

Online stickiness: its antecedents and effect on purchasing intention

Website stickiness, the website's ability to retain online customers and prolong his/her duration of each stay, is one of the key factors to e-commerce success. However, how to make customers stick around is still unclear to online retailers. This paper examines the antecedents as well as effect of customer's intention to stick on a website. A model is developed and tested using a survey of 434 web users. The results confirm that the web user's willingness to stick to a website is a strong predictor of his/her intention to transact. Web managers thus need to put emphasis on the creation of the website stickiness. The results of this study also suggest that the formation of the stickiness is affected by web user attitude towards a website, trust in a website and the quality of website content. Implications of these findings are discussed for researchers and practitioners.     

Robo-advisors and investment intention: A perspective of value-based adoption

Financial robo-advisors have been widely used to assist individuals in their investment decisions, making it important to reduce uncertainties in the assistance process. Existing empirical studies rarely explore uncertainty reduction strategies and their implications on users’ investment intentions in the context of financial robo-advisors; our study attempts to address this gap. We construct a model to explain how uncertainty reduction strategies affect users’ investment intention in using financial robo-advisors. By collecting and analyzing a sample of 307 financial robo-advisor users, we find that algorithmic interpretability, structural assurance, and interactivity as uncertainty reduction strategies are positively related to users’ investment intention through the value-based adoption mechanism. Our research extends the value-based adoption model and uncertainty reduction theory in the financial robo-advisor context. We provide insights to financial robo-advisor service providers about focusing on improving algorithmic transparency, third-party assurance, and interactivity of financial robo-advisors to enhance perceived value and investment intention.